[
  {
    "path": ".gitattributes",
    "content": "# Auto detect text files and perform LF normalization\n* text=auto\n*.pth filter=lfs diff=lfs merge=lfs -text\n"
  },
  {
    "path": ".github/workflows/CI.yml",
    "content": "name: CI\n\non:\n  push:\n    branches:\n      - master\n\njobs:\n  doc-build:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v5\n        with:\n          python-version: '3.10'\n      - name: Install Doxypypy\n        run: pip install git+https://github.com/Dan-wanna-M/doxypypy@master --force-reinstall\n      - name: Doxygen Deploy Action\n        uses: Dan-Wanna-M/doxygen-github-pages-action@v0.1.9\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n          branch: gh-pages\n          folder: docs/dev/html\n          config_file: Doxyfile\n          target_folder: dev/\n          pre_build: |\n            chmod +x docs/header_gen.sh\n            ./docs/header_gen.sh\n            chmod +x py_filter.sh\n            export VERSION=\"dev\"\n            echo \"PROJECT_NUMBER = $VERSION\" >> Doxyfile"
  },
  {
    "path": ".github/workflows/python-publish.yml",
    "content": "# This workflow will upload a Python Package using Twine when a release is created\n# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries\n\n# This workflow uses actions that are not certified by GitHub.\n# They are provided by a third-party and are governed by\n# separate terms of service, privacy policy, and support\n# documentation.\n\nname: Upload Python Package\n\non:\n  push:\n    tags:\n      - \"v*\"\n\njobs:\n  doc-build:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v5\n        with:\n          python-version: '3.10'\n      - name: Install Doxypypy\n        run: pip install git+https://github.com/Dan-wanna-M/doxypypy@master --force-reinstall\n      - name: Doxygen Deploy Action\n        uses: Dan-Wanna-M/doxygen-github-pages-action@v0.1.9\n        with:\n          github_token: ${{ secrets.GITHUB_TOKEN }}\n          branch: gh-pages\n          folder: docs/dev/html\n          config_file: Doxyfile\n          target_folder: ${{ github.ref_name }}/\n          pre_build: |\n            chmod +x docs/header_gen.sh\n            ./docs/header_gen.sh ${{ github.ref_name }}\n            chmod +x py_filter.sh\n            export VERSION=${{ github.ref_name }}\n            echo \"PROJECT_NUMBER = $VERSION\" >> Doxyfile\n      - name: Generate index.html\n        run: |\n          python docs/index_gen.py --version ${{ github.ref_name }}\n      - name: Update index.html\n        uses: JamesIves/github-pages-deploy-action@v4.6.4 # https://github.com/detekt/detekt/pull/7685\n        with: \n          token: ${{ secrets.GITHUB_TOKEN }}\n          branch: gh-pages\n          folder: docs/index/\n          target_folder: index/\n          clean: false\n\n\n  deploy:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v4\n    - name: Set up Python\n      uses: actions/setup-python@v3\n      with:\n        python-version: '3.x'\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        pip install build\n    - name: Build package\n      run: python -m build\n    - name: Publish package\n      uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29\n      with:\n        user: __token__\n        password: ${{ secrets.PYPI_API_TOKEN }}\n"
  },
  {
    "path": ".gitignore",
    "content": "# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distribution / packaging\n.Python\nbuild/\ndevelop-eggs/\ndist/\ndownloads/\neggs/\n.eggs/\nlib/\nlib64/\nparts/\nsdist/\nvar/\nwheels/\nshare/python-wheels/\n*.egg-info/\n.installed.cfg\n*.egg\nMANIFEST\n\n# PyInstaller\n#  Usually these files are written by a python script from a template\n#  before PyInstaller builds the exe, so as to inject date/other infos into it.\n*.manifest\n*.spec\n\n# Installer logs\npip-log.txt\npip-delete-this-directory.txt\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.nox/\n.coverage\n.coverage.*\n.cache\nnosetests.xml\ncoverage.xml\n*.cover\n*.py,cover\n.hypothesis/\n.pytest_cache/\ncover/\n\n# Translations\n*.mo\n*.pot\n\n# Django stuff:\n*.log\nlocal_settings.py\ndb.sqlite3\ndb.sqlite3-journal\n\n# Flask stuff:\ninstance/\n.webassets-cache\n\n# Scrapy stuff:\n.scrapy\n\n# Sphinx documentation\ndocs/_build/\n\n# PyBuilder\n.pybuilder/\ntarget/\n\n# Jupyter Notebook\n.ipynb_checkpoints\n\n# IPython\nprofile_default/\nipython_config.py\n\n# pyenv\n#   For a library or package, you might want to ignore these files since the code is\n#   intended to run in multiple environments; otherwise, check them in:\n# .python-version\n\n# pipenv\n#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.\n#   However, in case of collaboration, if having platform-specific dependencies or dependencies\n#   having no cross-platform support, pipenv may install dependencies that don't work, or not\n#   install all needed dependencies.\n#Pipfile.lock\n\n# poetry\n#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.\n#   This is especially recommended for binary packages to ensure reproducibility, and is more\n#   commonly ignored for libraries.\n#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control\n#poetry.lock\n\n# PEP 582; used by e.g. github.com/David-OConnor/pyflow\n__pypackages__/\n\n# Celery stuff\ncelerybeat-schedule\ncelerybeat.pid\n\n# SageMath parsed files\n*.sage.py\n\n# Environments\n.env\n.venv\nenv/\nvenv/\nENV/\nenv.bak/\nvenv.bak/\n\n# Spyder project settings\n.spyderproject\n.spyproject\n\n# Rope project settings\n.ropeproject\n\n# mkdocs documentation\n/site\n\n# mypy\n.mypy_cache/\n.dmypy.json\ndmypy.json\n\n# Pyre type checker\n.pyre/\n\n# pytype static type analyzer\n.pytype/\n\n# Cython debug symbols\ncython_debug/\n\n# PyCharm\n#  JetBrains specific template is maintainted in a separate JetBrains.gitignore that can\n#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore\n#  and can be added to the global gitignore or merged into this file.  For a more nuclear\n#  option (not recommended) you can uncomment the following to ignore the entire idea folder.\n.idea/\n\n# pyenv\n.python-version\ntests/local_assets"
  },
  {
    "path": ".gitmodules",
    "content": "[submodule \"doxygen-awesome-css\"]\n\tpath = doxygen-awesome-css\n\turl = https://github.com/jothepro/doxygen-awesome-css.git\n"
  },
  {
    "path": "Doxyfile",
    "content": "# Doxyfile 1.11.0\n\n# This file describes the settings to be used by the documentation system\n# doxygen (www.doxygen.org) for a project.\n#\n# All text after a double hash (##) is considered a comment and is placed in\n# front of the TAG it is preceding.\n#\n# All text after a single hash (#) is considered a comment and will be ignored.\n# The format is:\n# TAG = value [value, ...]\n# For lists, items can also be appended using:\n# TAG += value [value, ...]\n# Values that contain spaces should be placed between quotes (\\\" \\\").\n#\n# Note:\n#\n# Use doxygen to compare the used configuration file with the template\n# configuration file:\n# doxygen -x [configFile]\n# Use doxygen to compare the used configuration file with the template\n# configuration file without replacing the environment variables or CMake type\n# replacement variables:\n# doxygen -x_noenv [configFile]\n\n#---------------------------------------------------------------------------\n# Project related configuration options\n#---------------------------------------------------------------------------\n\n# This tag specifies the encoding used for all characters in the configuration\n# file that follow. The default is UTF-8 which is also the encoding used for all\n# text before the first occurrence of this tag. Doxygen uses libiconv (or the\n# iconv built into libc) for the transcoding. See\n# https://www.gnu.org/software/libiconv/ for the list of possible encodings.\n# The default value is: UTF-8.\n\nDOXYFILE_ENCODING      = UTF-8\n\n# The PROJECT_NAME tag is a single word (or a sequence of words surrounded by\n# double-quotes, unless you are using Doxywizard) that should identify the\n# project for which the documentation is generated. This name is used in the\n# title of most generated pages and in a few other places.\n# The default value is: My Project.\n\nPROJECT_NAME           = \"Formatron\"\n\n# The PROJECT_NUMBER tag can be used to enter a project or revision number. This\n# could be handy for archiving the generated documentation or if some version\n# control system is used.\n\n# PROJECT_NUMBER         = $(VERSION) this somehow does not work\n\n# Using the PROJECT_BRIEF tag one can provide an optional one line description\n# for a project that appears at the top of each page and should give viewer a\n# quick idea about the purpose of the project. Keep the description short.\n\nPROJECT_BRIEF          =\"Formatron empowers everyone to control the output format of language models with minimal overhead.\"\n\n# With the PROJECT_LOGO tag one can specify a logo or an icon that is included\n# in the documentation. The maximum height of the logo should not exceed 55\n# pixels and the maximum width should not exceed 200 pixels. Doxygen will copy\n# the logo to the output directory.\n\nPROJECT_LOGO           =\n\n# With the PROJECT_ICON tag one can specify an icon that is included in the tabs\n# when the HTML document is shown. Doxygen will copy the logo to the output\n# directory.\n\nPROJECT_ICON           =\n\n# The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path\n# into which the generated documentation will be written. If a relative path is\n# entered, it will be relative to the location where doxygen was started. If\n# left blank the current directory will be used.\n\nOUTPUT_DIRECTORY       = docs/dev\n\n# If the CREATE_SUBDIRS tag is set to YES then doxygen will create up to 4096\n# sub-directories (in 2 levels) under the output directory of each output format\n# and will distribute the generated files over these directories. Enabling this\n# option can be useful when feeding doxygen a huge amount of source files, where\n# putting all generated files in the same directory would otherwise causes\n# performance problems for the file system. Adapt CREATE_SUBDIRS_LEVEL to\n# control the number of sub-directories.\n# The default value is: NO.\n\nCREATE_SUBDIRS         = NO\n\n# Controls the number of sub-directories that will be created when\n# CREATE_SUBDIRS tag is set to YES. Level 0 represents 16 directories, and every\n# level increment doubles the number of directories, resulting in 4096\n# directories at level 8 which is the default and also the maximum value. The\n# sub-directories are organized in 2 levels, the first level always has a fixed\n# number of 16 directories.\n# Minimum value: 0, maximum value: 8, default value: 8.\n# This tag requires that the tag CREATE_SUBDIRS is set to YES.\n\nCREATE_SUBDIRS_LEVEL   = 8\n\n# If the ALLOW_UNICODE_NAMES tag is set to YES, doxygen will allow non-ASCII\n# characters to appear in the names of generated files. If set to NO, non-ASCII\n# characters will be escaped, for example _xE3_x81_x84 will be used for Unicode\n# U+3044.\n# The default value is: NO.\n\nALLOW_UNICODE_NAMES    = NO\n\n# The OUTPUT_LANGUAGE tag is used to specify the language in which all\n# documentation generated by doxygen is written. Doxygen will use this\n# information to generate all constant output in the proper language.\n# Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Bulgarian,\n# Catalan, Chinese, Chinese-Traditional, Croatian, Czech, Danish, Dutch, English\n# (United States), Esperanto, Farsi (Persian), Finnish, French, German, Greek,\n# Hindi, Hungarian, Indonesian, Italian, Japanese, Japanese-en (Japanese with\n# English messages), Korean, Korean-en (Korean with English messages), Latvian,\n# Lithuanian, Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese,\n# Romanian, Russian, Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish,\n# Swedish, Turkish, Ukrainian and Vietnamese.\n# The default value is: English.\n\nOUTPUT_LANGUAGE        = English\n\n# If the BRIEF_MEMBER_DESC tag is set to YES, doxygen will include brief member\n# descriptions after the members that are listed in the file and class\n# documentation (similar to Javadoc). Set to NO to disable this.\n# The default value is: YES.\n\nBRIEF_MEMBER_DESC      = YES\n\n# If the REPEAT_BRIEF tag is set to YES, doxygen will prepend the brief\n# description of a member or function before the detailed description\n#\n# Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the\n# brief descriptions will be completely suppressed.\n# The default value is: YES.\n\nREPEAT_BRIEF           = YES\n\n# This tag implements a quasi-intelligent brief description abbreviator that is\n# used to form the text in various listings. Each string in this list, if found\n# as the leading text of the brief description, will be stripped from the text\n# and the result, after processing the whole list, is used as the annotated\n# text. Otherwise, the brief description is used as-is. If left blank, the\n# following values are used ($name is automatically replaced with the name of\n# the entity):The $name class, The $name widget, The $name file, is, provides,\n# specifies, contains, represents, a, an and the.\n\nABBREVIATE_BRIEF       = \"The $name class\" \\\n                         \"The $name widget\" \\\n                         \"The $name file\" \\\n                         is \\\n                         provides \\\n                         specifies \\\n                         contains \\\n                         represents \\\n                         a \\\n                         an \\\n                         the\n\n# If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then\n# doxygen will generate a detailed section even if there is only a brief\n# description.\n# The default value is: NO.\n\nALWAYS_DETAILED_SEC    = NO\n\n# If the INLINE_INHERITED_MEMB tag is set to YES, doxygen will show all\n# inherited members of a class in the documentation of that class as if those\n# members were ordinary class members. Constructors, destructors and assignment\n# operators of the base classes will not be shown.\n# The default value is: NO.\n\nINLINE_INHERITED_MEMB  = NO\n\n# If the FULL_PATH_NAMES tag is set to YES, doxygen will prepend the full path\n# before files name in the file list and in the header files. If set to NO the\n# shortest path that makes the file name unique will be used\n# The default value is: YES.\n\nFULL_PATH_NAMES        = YES\n\n# The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path.\n# Stripping is only done if one of the specified strings matches the left-hand\n# part of the path. The tag can be used to show relative paths in the file list.\n# If left blank the directory from which doxygen is run is used as the path to\n# strip.\n#\n# Note that you can specify absolute paths here, but also relative paths, which\n# will be relative from the directory where doxygen is started.\n# This tag requires that the tag FULL_PATH_NAMES is set to YES.\n\nSTRIP_FROM_PATH        =\n\n# The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the\n# path mentioned in the documentation of a class, which tells the reader which\n# header file to include in order to use a class. If left blank only the name of\n# the header file containing the class definition is used. Otherwise one should\n# specify the list of include paths that are normally passed to the compiler\n# using the -I flag.\n\nSTRIP_FROM_INC_PATH    =\n\n# If the SHORT_NAMES tag is set to YES, doxygen will generate much shorter (but\n# less readable) file names. This can be useful is your file systems doesn't\n# support long names like on DOS, Mac, or CD-ROM.\n# The default value is: NO.\n\nSHORT_NAMES            = NO\n\n# If the JAVADOC_AUTOBRIEF tag is set to YES then doxygen will interpret the\n# first line (until the first dot) of a Javadoc-style comment as the brief\n# description. If set to NO, the Javadoc-style will behave just like regular Qt-\n# style comments (thus requiring an explicit @brief command for a brief\n# description.)\n# The default value is: NO.\n\nJAVADOC_AUTOBRIEF      = NO\n\n# If the JAVADOC_BANNER tag is set to YES then doxygen will interpret a line\n# such as\n# /***************\n# as being the beginning of a Javadoc-style comment \"banner\". If set to NO, the\n# Javadoc-style will behave just like regular comments and it will not be\n# interpreted by doxygen.\n# The default value is: NO.\n\nJAVADOC_BANNER         = NO\n\n# If the QT_AUTOBRIEF tag is set to YES then doxygen will interpret the first\n# line (until the first dot) of a Qt-style comment as the brief description. If\n# set to NO, the Qt-style will behave just like regular Qt-style comments (thus\n# requiring an explicit \\brief command for a brief description.)\n# The default value is: NO.\n\nQT_AUTOBRIEF           = NO\n\n# The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make doxygen treat a\n# multi-line C++ special comment block (i.e. a block of //! or /// comments) as\n# a brief description. This used to be the default behavior. The new default is\n# to treat a multi-line C++ comment block as a detailed description. Set this\n# tag to YES if you prefer the old behavior instead.\n#\n# Note that setting this tag to YES also means that rational rose comments are\n# not recognized any more.\n# The default value is: NO.\n\nMULTILINE_CPP_IS_BRIEF = NO\n\n# By default Python docstrings are displayed as preformatted text and doxygen's\n# special commands cannot be used. By setting PYTHON_DOCSTRING to NO the\n# doxygen's special commands can be used and the contents of the docstring\n# documentation blocks is shown as doxygen documentation.\n# The default value is: YES.\n\nPYTHON_DOCSTRING       = NO\n\n# If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the\n# documentation from any documented member that it re-implements.\n# The default value is: YES.\n\nINHERIT_DOCS           = YES\n\n# If the SEPARATE_MEMBER_PAGES tag is set to YES then doxygen will produce a new\n# page for each member. If set to NO, the documentation of a member will be part\n# of the file/class/namespace that contains it.\n# The default value is: NO.\n\nSEPARATE_MEMBER_PAGES  = NO\n\n# The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen\n# uses this value to replace tabs by spaces in code fragments.\n# Minimum value: 1, maximum value: 16, default value: 4.\n\nTAB_SIZE               = 4\n\n# This tag can be used to specify a number of aliases that act as commands in\n# the documentation. An alias has the form:\n# name=value\n# For example adding\n# \"sideeffect=@par Side Effects:^^\"\n# will allow you to put the command \\sideeffect (or @sideeffect) in the\n# documentation, which will result in a user-defined paragraph with heading\n# \"Side Effects:\". Note that you cannot put \\n's in the value part of an alias\n# to insert newlines (in the resulting output). You can put ^^ in the value part\n# of an alias to insert a newline as if a physical newline was in the original\n# file. When you need a literal { or } or , in the value part of an alias you\n# have to escape them by means of a backslash (\\), this can lead to conflicts\n# with the commands \\{ and \\} for these it is advised to use the version @{ and\n# @} or use a double escape (\\\\{ and \\\\})\n\nALIASES =\n\n# Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources\n# only. Doxygen will then generate output that is more tailored for C. For\n# instance, some of the names that are used will be different. The list of all\n# members will be omitted, etc.\n# The default value is: NO.\n\nOPTIMIZE_OUTPUT_FOR_C  = NO\n\n# Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or\n# Python sources only. Doxygen will then generate output that is more tailored\n# for that language. For instance, namespaces will be presented as packages,\n# qualified scopes will look different, etc.\n# The default value is: NO.\n\nOPTIMIZE_OUTPUT_JAVA   = YES\n\n# Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran\n# sources. Doxygen will then generate output that is tailored for Fortran.\n# The default value is: NO.\n\nOPTIMIZE_FOR_FORTRAN   = NO\n\n# Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL\n# sources. Doxygen will then generate output that is tailored for VHDL.\n# The default value is: NO.\n\nOPTIMIZE_OUTPUT_VHDL   = NO\n\n# Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice\n# sources only. Doxygen will then generate output that is more tailored for that\n# language. For instance, namespaces will be presented as modules, types will be\n# separated into more groups, etc.\n# The default value is: NO.\n\nOPTIMIZE_OUTPUT_SLICE  = NO\n\n# Doxygen selects the parser to use depending on the extension of the files it\n# parses. With this tag you can assign which parser to use for a given\n# extension. Doxygen has a built-in mapping, but you can override or extend it\n# using this tag. The format is ext=language, where ext is a file extension, and\n# language is one of the parsers supported by doxygen: IDL, Java, JavaScript,\n# Csharp (C#), C, C++, Lex, D, PHP, md (Markdown), Objective-C, Python, Slice,\n# VHDL, Fortran (fixed format Fortran: FortranFixed, free formatted Fortran:\n# FortranFree, unknown formatted Fortran: Fortran. In the later case the parser\n# tries to guess whether the code is fixed or free formatted code, this is the\n# default for Fortran type files). For instance to make doxygen treat .inc files\n# as Fortran files (default is PHP), and .f files as C (default is Fortran),\n# use: inc=Fortran f=C.\n#\n# Note: For files without extension you can use no_extension as a placeholder.\n#\n# Note that for custom extensions you also need to set FILE_PATTERNS otherwise\n# the files are not read by doxygen. When specifying no_extension you should add\n# * to the FILE_PATTERNS.\n#\n# Note see also the list of default file extension mappings.\n\nEXTENSION_MAPPING      =\n\n# If the MARKDOWN_SUPPORT tag is enabled then doxygen pre-processes all comments\n# according to the Markdown format, which allows for more readable\n# documentation. See https://daringfireball.net/projects/markdown/ for details.\n# The output of markdown processing is further processed by doxygen, so you can\n# mix doxygen, HTML, and XML commands with Markdown formatting. Disable only in\n# case of backward compatibilities issues.\n# The default value is: YES.\n\nMARKDOWN_SUPPORT       = YES\n\n# When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up\n# to that level are automatically included in the table of contents, even if\n# they do not have an id attribute.\n# Note: This feature currently applies only to Markdown headings.\n# Minimum value: 0, maximum value: 99, default value: 6.\n# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.\n\nTOC_INCLUDE_HEADINGS   = 6\n\n# The MARKDOWN_ID_STYLE tag can be used to specify the algorithm used to\n# generate identifiers for the Markdown headings. Note: Every identifier is\n# unique.\n# Possible values are: DOXYGEN use a fixed 'autotoc_md' string followed by a\n# sequence number starting at 0 and GITHUB use the lower case version of title\n# with any whitespace replaced by '-' and punctuation characters removed.\n# The default value is: DOXYGEN.\n# This tag requires that the tag MARKDOWN_SUPPORT is set to YES.\n\nMARKDOWN_ID_STYLE      = DOXYGEN\n\n# When enabled doxygen tries to link words that correspond to documented\n# classes, or namespaces to their corresponding documentation. Such a link can\n# be prevented in individual cases by putting a % sign in front of the word or\n# globally by setting AUTOLINK_SUPPORT to NO.\n# The default value is: YES.\n\nAUTOLINK_SUPPORT       = YES\n\n# If you use STL classes (i.e. std::string, std::vector, etc.) but do not want\n# to include (a tag file for) the STL sources as input, then you should set this\n# tag to YES in order to let doxygen match functions declarations and\n# definitions whose arguments contain STL classes (e.g. func(std::string);\n# versus func(std::string) {}). This also makes the inheritance and\n# collaboration diagrams that involve STL classes more complete and accurate.\n# The default value is: NO.\n\nBUILTIN_STL_SUPPORT    = NO\n\n# If you use Microsoft's C++/CLI language, you should set this option to YES to\n# enable parsing support.\n# The default value is: NO.\n\nCPP_CLI_SUPPORT        = NO\n\n# Set the SIP_SUPPORT tag to YES if your project consists of sip (see:\n# https://www.riverbankcomputing.com/software) sources only. Doxygen will parse\n# them like normal C++ but will assume all classes use public instead of private\n# inheritance when no explicit protection keyword is present.\n# The default value is: NO.\n\nSIP_SUPPORT            = NO\n\n# For Microsoft's IDL there are propget and propput attributes to indicate\n# getter and setter methods for a property. Setting this option to YES will make\n# doxygen to replace the get and set methods by a property in the documentation.\n# This will only work if the methods are indeed getting or setting a simple\n# type. If this is not the case, or you want to show the methods anyway, you\n# should set this option to NO.\n# The default value is: YES.\n\nIDL_PROPERTY_SUPPORT   = YES\n\n# If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC\n# tag is set to YES then doxygen will reuse the documentation of the first\n# member in the group (if any) for the other members of the group. By default\n# all members of a group must be documented explicitly.\n# The default value is: NO.\n\nDISTRIBUTE_GROUP_DOC   = NO\n\n# If one adds a struct or class to a group and this option is enabled, then also\n# any nested class or struct is added to the same group. By default this option\n# is disabled and one has to add nested compounds explicitly via \\ingroup.\n# The default value is: NO.\n\nGROUP_NESTED_COMPOUNDS = NO\n\n# Set the SUBGROUPING tag to YES to allow class member groups of the same type\n# (for instance a group of public functions) to be put as a subgroup of that\n# type (e.g. under the Public Functions section). Set it to NO to prevent\n# subgrouping. Alternatively, this can be done per class using the\n# \\nosubgrouping command.\n# The default value is: YES.\n\nSUBGROUPING            = NO\n\n# When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions\n# are shown inside the group in which they are included (e.g. using \\ingroup)\n# instead of on a separate page (for HTML and Man pages) or section (for LaTeX\n# and RTF).\n#\n# Note that this feature does not work in combination with\n# SEPARATE_MEMBER_PAGES.\n# The default value is: NO.\n\nINLINE_GROUPED_CLASSES = NO\n\n# When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions\n# with only public data fields or simple typedef fields will be shown inline in\n# the documentation of the scope in which they are defined (i.e. file,\n# namespace, or group documentation), provided this scope is documented. If set\n# to NO, structs, classes, and unions are shown on a separate page (for HTML and\n# Man pages) or section (for LaTeX and RTF).\n# The default value is: NO.\n\nINLINE_SIMPLE_STRUCTS  = NO\n\n# When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or\n# enum is documented as struct, union, or enum with the name of the typedef. So\n# typedef struct TypeS {} TypeT, will appear in the documentation as a struct\n# with name TypeT. When disabled the typedef will appear as a member of a file,\n# namespace, or class. And the struct will be named TypeS. This can typically be\n# useful for C code in case the coding convention dictates that all compound\n# types are typedef'ed and only the typedef is referenced, never the tag name.\n# The default value is: NO.\n\nTYPEDEF_HIDES_STRUCT   = NO\n\n# The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This\n# cache is used to resolve symbols given their name and scope. Since this can be\n# an expensive process and often the same symbol appears multiple times in the\n# code, doxygen keeps a cache of pre-resolved symbols. If the cache is too small\n# doxygen will become slower. If the cache is too large, memory is wasted. The\n# cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range\n# is 0..9, the default is 0, corresponding to a cache size of 2^16=65536\n# symbols. At the end of a run doxygen will report the cache usage and suggest\n# the optimal cache size from a speed point of view.\n# Minimum value: 0, maximum value: 9, default value: 0.\n\nLOOKUP_CACHE_SIZE      = 0\n\n# The NUM_PROC_THREADS specifies the number of threads doxygen is allowed to use\n# during processing. When set to 0 doxygen will based this on the number of\n# cores available in the system. You can set it explicitly to a value larger\n# than 0 to get more control over the balance between CPU load and processing\n# speed. At this moment only the input processing can be done using multiple\n# threads. Since this is still an experimental feature the default is set to 1,\n# which effectively disables parallel processing. Please report any issues you\n# encounter. Generating dot graphs in parallel is controlled by the\n# DOT_NUM_THREADS setting.\n# Minimum value: 0, maximum value: 32, default value: 1.\n\nNUM_PROC_THREADS       = 1\n\n# If the TIMESTAMP tag is set different from NO then each generated page will\n# contain the date or date and time when the page was generated. Setting this to\n# NO can help when comparing the output of multiple runs.\n# Possible values are: YES, NO, DATETIME and DATE.\n# The default value is: NO.\n\nTIMESTAMP              = NO\n\n#---------------------------------------------------------------------------\n# Build related configuration options\n#---------------------------------------------------------------------------\n\n# If the EXTRACT_ALL tag is set to YES, doxygen will assume all entities in\n# documentation are documented, even if no documentation was available. Private\n# class members and static file members will be hidden unless the\n# EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES.\n# Note: This will also disable the warnings about undocumented members that are\n# normally produced when WARNINGS is set to YES.\n# The default value is: NO.\n\nEXTRACT_ALL            = YES\n\n# If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will\n# be included in the documentation.\n# The default value is: NO.\n\nEXTRACT_PRIVATE        = NO\n\n# If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual\n# methods of a class will be included in the documentation.\n# The default value is: NO.\n\nEXTRACT_PRIV_VIRTUAL   = NO\n\n# If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal\n# scope will be included in the documentation.\n# The default value is: NO.\n\nEXTRACT_PACKAGE        = YES\n\n# If the EXTRACT_STATIC tag is set to YES, all static members of a file will be\n# included in the documentation.\n# The default value is: NO.\n\nEXTRACT_STATIC         = YES\n\n# If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined\n# locally in source files will be included in the documentation. If set to NO,\n# only classes defined in header files are included. Does not have any effect\n# for Java sources.\n# The default value is: YES.\n\nEXTRACT_LOCAL_CLASSES  = YES\n\n# This flag is only useful for Objective-C code. If set to YES, local methods,\n# which are defined in the implementation section but not in the interface are\n# included in the documentation. If set to NO, only methods in the interface are\n# included.\n# The default value is: NO.\n\nEXTRACT_LOCAL_METHODS  = NO\n\n# If this flag is set to YES, the members of anonymous namespaces will be\n# extracted and appear in the documentation as a namespace called\n# 'anonymous_namespace{file}', where file will be replaced with the base name of\n# the file that contains the anonymous namespace. By default anonymous namespace\n# are hidden.\n# The default value is: NO.\n\nEXTRACT_ANON_NSPACES   = NO\n\n# If this flag is set to YES, the name of an unnamed parameter in a declaration\n# will be determined by the corresponding definition. By default unnamed\n# parameters remain unnamed in the output.\n# The default value is: YES.\n\nRESOLVE_UNNAMED_PARAMS = YES\n\n# If the HIDE_UNDOC_MEMBERS tag is set to YES, doxygen will hide all\n# undocumented members inside documented classes or files. If set to NO these\n# members will be included in the various overviews, but no documentation\n# section is generated. This option has no effect if EXTRACT_ALL is enabled.\n# The default value is: NO.\n\nHIDE_UNDOC_MEMBERS     = NO\n\n# If the HIDE_UNDOC_CLASSES tag is set to YES, doxygen will hide all\n# undocumented classes that are normally visible in the class hierarchy. If set\n# to NO, these classes will be included in the various overviews. This option\n# will also hide undocumented C++ concepts if enabled. This option has no effect\n# if EXTRACT_ALL is enabled.\n# The default value is: NO.\n\nHIDE_UNDOC_CLASSES     = NO\n\n# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, doxygen will hide all friend\n# declarations. If set to NO, these declarations will be included in the\n# documentation.\n# The default value is: NO.\n\nHIDE_FRIEND_COMPOUNDS  = NO\n\n# If the HIDE_IN_BODY_DOCS tag is set to YES, doxygen will hide any\n# documentation blocks found inside the body of a function. If set to NO, these\n# blocks will be appended to the function's detailed documentation block.\n# The default value is: NO.\n\nHIDE_IN_BODY_DOCS      = NO\n\n# The INTERNAL_DOCS tag determines if documentation that is typed after a\n# \\internal command is included. If the tag is set to NO then the documentation\n# will be excluded. Set it to YES to include the internal documentation.\n# The default value is: NO.\n\nINTERNAL_DOCS          = NO\n\n# With the correct setting of option CASE_SENSE_NAMES doxygen will better be\n# able to match the capabilities of the underlying filesystem. In case the\n# filesystem is case sensitive (i.e. it supports files in the same directory\n# whose names only differ in casing), the option must be set to YES to properly\n# deal with such files in case they appear in the input. For filesystems that\n# are not case sensitive the option should be set to NO to properly deal with\n# output files written for symbols that only differ in casing, such as for two\n# classes, one named CLASS and the other named Class, and to also support\n# references to files without having to specify the exact matching casing. On\n# Windows (including Cygwin) and MacOS, users should typically set this option\n# to NO, whereas on Linux or other Unix flavors it should typically be set to\n# YES.\n# Possible values are: SYSTEM, NO and YES.\n# The default value is: SYSTEM.\n\nCASE_SENSE_NAMES       = SYSTEM\n\n# If the HIDE_SCOPE_NAMES tag is set to NO then doxygen will show members with\n# their full class and namespace scopes in the documentation. If set to YES, the\n# scope will be hidden.\n# The default value is: NO.\n\nHIDE_SCOPE_NAMES       = NO\n\n# If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then doxygen will\n# append additional text to a page's title, such as Class Reference. If set to\n# YES the compound reference will be hidden.\n# The default value is: NO.\n\nHIDE_COMPOUND_REFERENCE= NO\n\n# If the SHOW_HEADERFILE tag is set to YES then the documentation for a class\n# will show which file needs to be included to use the class.\n# The default value is: YES.\n\nSHOW_HEADERFILE        = YES\n\n# If the SHOW_INCLUDE_FILES tag is set to YES then doxygen will put a list of\n# the files that are included by a file in the documentation of that file.\n# The default value is: YES.\n\nSHOW_INCLUDE_FILES     = YES\n\n# If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each\n# grouped member an include statement to the documentation, telling the reader\n# which file to include in order to use the member.\n# The default value is: NO.\n\nSHOW_GROUPED_MEMB_INC  = NO\n\n# If the FORCE_LOCAL_INCLUDES tag is set to YES then doxygen will list include\n# files with double quotes in the documentation rather than with sharp brackets.\n# The default value is: NO.\n\nFORCE_LOCAL_INCLUDES   = NO\n\n# If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the\n# documentation for inline members.\n# The default value is: YES.\n\nINLINE_INFO            = YES\n\n# If the SORT_MEMBER_DOCS tag is set to YES then doxygen will sort the\n# (detailed) documentation of file and class members alphabetically by member\n# name. If set to NO, the members will appear in declaration order.\n# The default value is: YES.\n\nSORT_MEMBER_DOCS       = YES\n\n# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the brief\n# descriptions of file, namespace and class members alphabetically by member\n# name. If set to NO, the members will appear in declaration order. Note that\n# this will also influence the order of the classes in the class list.\n# The default value is: NO.\n\nSORT_BRIEF_DOCS        = NO\n\n# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen will sort the\n# (brief and detailed) documentation of class members so that constructors and\n# destructors are listed first. If set to NO the constructors will appear in the\n# respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS.\n# Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief\n# member documentation.\n# Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting\n# detailed member documentation.\n# The default value is: NO.\n\nSORT_MEMBERS_CTORS_1ST = NO\n\n# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the hierarchy\n# of group names into alphabetical order. If set to NO the group names will\n# appear in their defined order.\n# The default value is: NO.\n\nSORT_GROUP_NAMES       = NO\n\n# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by\n# fully-qualified names, including namespaces. If set to NO, the class list will\n# be sorted only by class name, not including the namespace part.\n# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.\n# Note: This option applies only to the class list, not to the alphabetical\n# list.\n# The default value is: NO.\n\nSORT_BY_SCOPE_NAME     = NO\n\n# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to do proper\n# type resolution of all parameters of a function it will reject a match between\n# the prototype and the implementation of a member function even if there is\n# only one candidate or it is obvious which candidate to choose by doing a\n# simple string match. By disabling STRICT_PROTO_MATCHING doxygen will still\n# accept a match between prototype and implementation in such cases.\n# The default value is: NO.\n\nSTRICT_PROTO_MATCHING  = NO\n\n# The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo\n# list. This list is created by putting \\todo commands in the documentation.\n# The default value is: YES.\n\nGENERATE_TODOLIST      = YES\n\n# The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test\n# list. This list is created by putting \\test commands in the documentation.\n# The default value is: YES.\n\nGENERATE_TESTLIST      = YES\n\n# The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug\n# list. This list is created by putting \\bug commands in the documentation.\n# The default value is: YES.\n\nGENERATE_BUGLIST       = YES\n\n# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO)\n# the deprecated list. This list is created by putting \\deprecated commands in\n# the documentation.\n# The default value is: YES.\n\nGENERATE_DEPRECATEDLIST= YES\n\n# The ENABLED_SECTIONS tag can be used to enable conditional documentation\n# sections, marked by \\if <section_label> ... \\endif and \\cond <section_label>\n# ... \\endcond blocks.\n\nENABLED_SECTIONS       =\n\n# The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the\n# initial value of a variable or macro / define can have for it to appear in the\n# documentation. If the initializer consists of more lines than specified here\n# it will be hidden. Use a value of 0 to hide initializers completely. The\n# appearance of the value of individual variables and macros / defines can be\n# controlled using \\showinitializer or \\hideinitializer command in the\n# documentation regardless of this setting.\n# Minimum value: 0, maximum value: 10000, default value: 30.\n\nMAX_INITIALIZER_LINES  = 30\n\n# Set the SHOW_USED_FILES tag to NO to disable the list of files generated at\n# the bottom of the documentation of classes and structs. If set to YES, the\n# list will mention the files that were used to generate the documentation.\n# The default value is: YES.\n\nSHOW_USED_FILES        = YES\n\n# Set the SHOW_FILES tag to NO to disable the generation of the Files page. This\n# will remove the Files entry from the Quick Index and from the Folder Tree View\n# (if specified).\n# The default value is: YES.\n\nSHOW_FILES             = YES\n\n# Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces\n# page. This will remove the Namespaces entry from the Quick Index and from the\n# Folder Tree View (if specified).\n# The default value is: YES.\n\nSHOW_NAMESPACES        = YES\n\n# The FILE_VERSION_FILTER tag can be used to specify a program or script that\n# doxygen should invoke to get the current version for each file (typically from\n# the version control system). Doxygen will invoke the program by executing (via\n# popen()) the command command input-file, where command is the value of the\n# FILE_VERSION_FILTER tag, and input-file is the name of an input file provided\n# by doxygen. Whatever the program writes to standard output is used as the file\n# version. For an example see the documentation.\n\nFILE_VERSION_FILTER    =\n\n# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed\n# by doxygen. The layout file controls the global structure of the generated\n# output files in an output format independent way. To create the layout file\n# that represents doxygen's defaults, run doxygen with the -l option. You can\n# optionally specify a file name after the option, if omitted DoxygenLayout.xml\n# will be used as the name of the layout file. See also section \"Changing the\n# layout of pages\" for information.\n#\n# Note that if you run doxygen from a directory containing a file called\n# DoxygenLayout.xml, doxygen will parse it automatically even if the LAYOUT_FILE\n# tag is left empty.\n\nLAYOUT_FILE            =\n\n# The CITE_BIB_FILES tag can be used to specify one or more bib files containing\n# the reference definitions. This must be a list of .bib files. The .bib\n# extension is automatically appended if omitted. This requires the bibtex tool\n# to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info.\n# For LaTeX the style of the bibliography can be controlled using\n# LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the\n# search path. See also \\cite for info how to create references.\n\nCITE_BIB_FILES         =\n\n#---------------------------------------------------------------------------\n# Configuration options related to warning and progress messages\n#---------------------------------------------------------------------------\n\n# The QUIET tag can be used to turn on/off the messages that are generated to\n# standard output by doxygen. If QUIET is set to YES this implies that the\n# messages are off.\n# The default value is: NO.\n\nQUIET                  = NO\n\n# The WARNINGS tag can be used to turn on/off the warning messages that are\n# generated to standard error (stderr) by doxygen. If WARNINGS is set to YES\n# this implies that the warnings are on.\n#\n# Tip: Turn warnings on while writing the documentation.\n# The default value is: YES.\n\nWARNINGS               = YES\n\n# If the WARN_IF_UNDOCUMENTED tag is set to YES then doxygen will generate\n# warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag\n# will automatically be disabled.\n# The default value is: YES.\n\nWARN_IF_UNDOCUMENTED   = YES\n\n# If the WARN_IF_DOC_ERROR tag is set to YES, doxygen will generate warnings for\n# potential errors in the documentation, such as documenting some parameters in\n# a documented function twice, or documenting parameters that don't exist or\n# using markup commands wrongly.\n# The default value is: YES.\n\nWARN_IF_DOC_ERROR      = YES\n\n# If WARN_IF_INCOMPLETE_DOC is set to YES, doxygen will warn about incomplete\n# function parameter documentation. If set to NO, doxygen will accept that some\n# parameters have no documentation without warning.\n# The default value is: YES.\n\nWARN_IF_INCOMPLETE_DOC = YES\n\n# This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that\n# are documented, but have no documentation for their parameters or return\n# value. If set to NO, doxygen will only warn about wrong parameter\n# documentation, but not about the absence of documentation. If EXTRACT_ALL is\n# set to YES then this flag will automatically be disabled. See also\n# WARN_IF_INCOMPLETE_DOC\n# The default value is: NO.\n\nWARN_NO_PARAMDOC       = NO\n\n# If WARN_IF_UNDOC_ENUM_VAL option is set to YES, doxygen will warn about\n# undocumented enumeration values. If set to NO, doxygen will accept\n# undocumented enumeration values. If EXTRACT_ALL is set to YES then this flag\n# will automatically be disabled.\n# The default value is: NO.\n\nWARN_IF_UNDOC_ENUM_VAL = NO\n\n# If the WARN_AS_ERROR tag is set to YES then doxygen will immediately stop when\n# a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS\n# then doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but\n# at the end of the doxygen process doxygen will return with a non-zero status.\n# If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS_PRINT then doxygen behaves\n# like FAIL_ON_WARNINGS but in case no WARN_LOGFILE is defined doxygen will not\n# write the warning messages in between other messages but write them at the end\n# of a run, in case a WARN_LOGFILE is defined the warning messages will be\n# besides being in the defined file also be shown at the end of a run, unless\n# the WARN_LOGFILE is defined as - i.e. standard output (stdout) in that case\n# the behavior will remain as with the setting FAIL_ON_WARNINGS.\n# Possible values are: NO, YES, FAIL_ON_WARNINGS and FAIL_ON_WARNINGS_PRINT.\n# The default value is: NO.\n\nWARN_AS_ERROR          = NO\n\n# The WARN_FORMAT tag determines the format of the warning messages that doxygen\n# can produce. The string should contain the $file, $line, and $text tags, which\n# will be replaced by the file and line number from which the warning originated\n# and the warning text. Optionally the format may contain $version, which will\n# be replaced by the version of the file (if it could be obtained via\n# FILE_VERSION_FILTER)\n# See also: WARN_LINE_FORMAT\n# The default value is: $file:$line: $text.\n\nWARN_FORMAT            = \"$file:$line: $text\"\n\n# In the $text part of the WARN_FORMAT command it is possible that a reference\n# to a more specific place is given. To make it easier to jump to this place\n# (outside of doxygen) the user can define a custom \"cut\" / \"paste\" string.\n# Example:\n# WARN_LINE_FORMAT = \"'vi $file +$line'\"\n# See also: WARN_FORMAT\n# The default value is: at line $line of file $file.\n\nWARN_LINE_FORMAT       = \"at line $line of file $file\"\n\n# The WARN_LOGFILE tag can be used to specify a file to which warning and error\n# messages should be written. If left blank the output is written to standard\n# error (stderr). In case the file specified cannot be opened for writing the\n# warning and error messages are written to standard error. When as file - is\n# specified the warning and error messages are written to standard output\n# (stdout).\n\nWARN_LOGFILE           =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the input files\n#---------------------------------------------------------------------------\n\n# The INPUT tag is used to specify the files and/or directories that contain\n# documented source files. You may enter file names like myfile.cpp or\n# directories like /usr/src/myproject. Separate the files or directories with\n# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING\n# Note: If this tag is empty the current directory is searched.\n\nINPUT                  =  src/formatron\n\n# This tag can be used to specify the character encoding of the source files\n# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses\n# libiconv (or the iconv built into libc) for the transcoding. See the libiconv\n# documentation (see:\n# https://www.gnu.org/software/libiconv/) for the list of possible encodings.\n# See also: INPUT_FILE_ENCODING\n# The default value is: UTF-8.\n\nINPUT_ENCODING         = UTF-8\n\n# This tag can be used to specify the character encoding of the source files\n# that doxygen parses The INPUT_FILE_ENCODING tag can be used to specify\n# character encoding on a per file pattern basis. Doxygen will compare the file\n# name with each pattern and apply the encoding instead of the default\n# INPUT_ENCODING) if there is a match. The character encodings are a list of the\n# form: pattern=encoding (like *.php=ISO-8859-1).\n# See also: INPUT_ENCODING for further information on supported encodings.\n\nINPUT_FILE_ENCODING    =\n\n# If the value of the INPUT tag contains directories, you can use the\n# FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and\n# *.h) to filter out the source-files in the directories.\n#\n# Note that for custom extensions or not directly supported extensions you also\n# need to set EXTENSION_MAPPING for the extension otherwise the files are not\n# read by doxygen.\n#\n# Note the list of default checked file patterns might differ from the list of\n# default file extension mappings.\n#\n# If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cxxm,\n# *.cpp, *.cppm, *.ccm, *.c++, *.c++m, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl,\n# *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp, *.h++, *.ixx, *.l, *.cs, *.d,\n# *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to\n# be provided as doxygen C comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08,\n# *.f18, *.f, *.for, *.vhd, *.vhdl, *.ucf, *.qsf and *.ice.\n\nFILE_PATTERNS          = *.py\n\n# The RECURSIVE tag can be used to specify whether or not subdirectories should\n# be searched for input files as well.\n# The default value is: NO.\n\nRECURSIVE              = YES\n\n# The EXCLUDE tag can be used to specify files and/or directories that should be\n# excluded from the INPUT source files. This way you can easily exclude a\n# subdirectory from a directory tree whose root is specified with the INPUT tag.\n#\n# Note that relative paths are relative to the directory from which doxygen is\n# run.\n\nEXCLUDE                =\n\n# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or\n# directories that are symbolic links (a Unix file system feature) are excluded\n# from the input.\n# The default value is: NO.\n\nEXCLUDE_SYMLINKS       = NO\n\n# If the value of the INPUT tag contains directories, you can use the\n# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude\n# certain files from those directories.\n#\n# Note that the wildcards are matched against the file with absolute path, so to\n# exclude all test directories for example use the pattern */test/*\n\nEXCLUDE_PATTERNS       =\n\n# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names\n# (namespaces, classes, functions, etc.) that should be excluded from the\n# output. The symbol name can be a fully qualified name, a word, or if the\n# wildcard * is used, a substring. Examples: ANamespace, AClass,\n# ANamespace::AClass, ANamespace::*Test\n\nEXCLUDE_SYMBOLS        =\n\n# The EXAMPLE_PATH tag can be used to specify one or more files or directories\n# that contain example code fragments that are included (see the \\include\n# command).\n\nEXAMPLE_PATH           =\n\n# If the value of the EXAMPLE_PATH tag contains directories, you can use the\n# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and\n# *.h) to filter out the source-files in the directories. If left blank all\n# files are included.\n\nEXAMPLE_PATTERNS       = *\n\n# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be\n# searched for input files to be used with the \\include or \\dontinclude commands\n# irrespective of the value of the RECURSIVE tag.\n# The default value is: NO.\n\nEXAMPLE_RECURSIVE      = NO\n\n# The IMAGE_PATH tag can be used to specify one or more files or directories\n# that contain images that are to be included in the documentation (see the\n# \\image command).\n\nIMAGE_PATH             =\n\n# The INPUT_FILTER tag can be used to specify a program that doxygen should\n# invoke to filter for each input file. Doxygen will invoke the filter program\n# by executing (via popen()) the command:\n#\n# <filter> <input-file>\n#\n# where <filter> is the value of the INPUT_FILTER tag, and <input-file> is the\n# name of an input file. Doxygen will then use the output that the filter\n# program writes to standard output. If FILTER_PATTERNS is specified, this tag\n# will be ignored.\n#\n# Note that the filter must not add or remove lines; it is applied before the\n# code is scanned, but not when the output code is generated. If lines are added\n# or removed, the anchors will not be placed correctly.\n#\n# Note that doxygen will use the data processed and written to standard output\n# for further processing, therefore nothing else, like debug statements or used\n# commands (so in case of a Windows batch file always use @echo OFF), should be\n# written to standard output.\n#\n# Note that for custom extensions or not directly supported extensions you also\n# need to set EXTENSION_MAPPING for the extension otherwise the files are not\n# properly processed by doxygen.\n\nINPUT_FILTER           =\n\n# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern\n# basis. Doxygen will compare the file name with each pattern and apply the\n# filter if there is a match. The filters are a list of the form: pattern=filter\n# (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how\n# filters are used. If the FILTER_PATTERNS tag is empty or if none of the\n# patterns match the file name, INPUT_FILTER is applied.\n#\n# Note that for custom extensions or not directly supported extensions you also\n# need to set EXTENSION_MAPPING for the extension otherwise the files are not\n# properly processed by doxygen.\n\nFILTER_PATTERNS        = *.py=./py_filter.sh\n\n# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using\n# INPUT_FILTER) will also be used to filter the input files that are used for\n# producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES).\n# The default value is: NO.\n\nFILTER_SOURCE_FILES    = NO\n\n# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file\n# pattern. A pattern will override the setting for FILTER_PATTERN (if any) and\n# it is also possible to disable source filtering for a specific pattern using\n# *.ext= (so without naming a filter).\n# This tag requires that the tag FILTER_SOURCE_FILES is set to YES.\n\nFILTER_SOURCE_PATTERNS =\n\n# If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that\n# is part of the input, its contents will be placed on the main page\n# (index.html). This can be useful if you have a project on for instance GitHub\n# and want to reuse the introduction page also for the doxygen output.\n\nUSE_MDFILE_AS_MAINPAGE =\n\n# The Fortran standard specifies that for fixed formatted Fortran code all\n# characters from position 72 are to be considered as comment. A common\n# extension is to allow longer lines before the automatic comment starts. The\n# setting FORTRAN_COMMENT_AFTER will also make it possible that longer lines can\n# be processed before the automatic comment starts.\n# Minimum value: 7, maximum value: 10000, default value: 72.\n\nFORTRAN_COMMENT_AFTER  = 72\n\n#---------------------------------------------------------------------------\n# Configuration options related to source browsing\n#---------------------------------------------------------------------------\n\n# If the SOURCE_BROWSER tag is set to YES then a list of source files will be\n# generated. Documented entities will be cross-referenced with these sources.\n#\n# Note: To get rid of all source code in the generated output, make sure that\n# also VERBATIM_HEADERS is set to NO.\n# The default value is: NO.\n\nSOURCE_BROWSER         = YES\n\n# Setting the INLINE_SOURCES tag to YES will include the body of functions,\n# multi-line macros, enums or list initialized variables directly into the\n# documentation.\n# The default value is: NO.\n\nINLINE_SOURCES         = NO\n\n# Setting the STRIP_CODE_COMMENTS tag to YES will instruct doxygen to hide any\n# special comment blocks from generated source code fragments. Normal C, C++ and\n# Fortran comments will always remain visible.\n# The default value is: YES.\n\nSTRIP_CODE_COMMENTS    = YES\n\n# If the REFERENCED_BY_RELATION tag is set to YES then for each documented\n# entity all documented functions referencing it will be listed.\n# The default value is: NO.\n\nREFERENCED_BY_RELATION = NO\n\n# If the REFERENCES_RELATION tag is set to YES then for each documented function\n# all documented entities called/used by that function will be listed.\n# The default value is: NO.\n\nREFERENCES_RELATION    = NO\n\n# If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set\n# to YES then the hyperlinks from functions in REFERENCES_RELATION and\n# REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will\n# link to the documentation.\n# The default value is: YES.\n\nREFERENCES_LINK_SOURCE = YES\n\n# If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the\n# source code will show a tooltip with additional information such as prototype,\n# brief description and links to the definition and documentation. Since this\n# will make the HTML file larger and loading of large files a bit slower, you\n# can opt to disable this feature.\n# The default value is: YES.\n# This tag requires that the tag SOURCE_BROWSER is set to YES.\n\nSOURCE_TOOLTIPS        = YES\n\n# If the USE_HTAGS tag is set to YES then the references to source code will\n# point to the HTML generated by the htags(1) tool instead of doxygen built-in\n# source browser. The htags tool is part of GNU's global source tagging system\n# (see https://www.gnu.org/software/global/global.html). You will need version\n# 4.8.6 or higher.\n#\n# To use it do the following:\n# - Install the latest version of global\n# - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file\n# - Make sure the INPUT points to the root of the source tree\n# - Run doxygen as normal\n#\n# Doxygen will invoke htags (and that will in turn invoke gtags), so these\n# tools must be available from the command line (i.e. in the search path).\n#\n# The result: instead of the source browser generated by doxygen, the links to\n# source code will now point to the output of htags.\n# The default value is: NO.\n# This tag requires that the tag SOURCE_BROWSER is set to YES.\n\nUSE_HTAGS              = NO\n\n# If the VERBATIM_HEADERS tag is set the YES then doxygen will generate a\n# verbatim copy of the header file for each class for which an include is\n# specified. Set to NO to disable this.\n# See also: Section \\class.\n# The default value is: YES.\n\nVERBATIM_HEADERS       = YES\n\n# If the CLANG_ASSISTED_PARSING tag is set to YES then doxygen will use the\n# clang parser (see:\n# http://clang.llvm.org/) for more accurate parsing at the cost of reduced\n# performance. This can be particularly helpful with template rich C++ code for\n# which doxygen's built-in parser lacks the necessary type information.\n# Note: The availability of this option depends on whether or not doxygen was\n# generated with the -Duse_libclang=ON option for CMake.\n# The default value is: NO.\n\nCLANG_ASSISTED_PARSING = NO\n\n# If the CLANG_ASSISTED_PARSING tag is set to YES and the CLANG_ADD_INC_PATHS\n# tag is set to YES then doxygen will add the directory of each input to the\n# include path.\n# The default value is: YES.\n# This tag requires that the tag CLANG_ASSISTED_PARSING is set to YES.\n\nCLANG_ADD_INC_PATHS    = YES\n\n# If clang assisted parsing is enabled you can provide the compiler with command\n# line options that you would normally use when invoking the compiler. Note that\n# the include paths will already be set by doxygen for the files and directories\n# specified with INPUT and INCLUDE_PATH.\n# This tag requires that the tag CLANG_ASSISTED_PARSING is set to YES.\n\nCLANG_OPTIONS          =\n\n# If clang assisted parsing is enabled you can provide the clang parser with the\n# path to the directory containing a file called compile_commands.json. This\n# file is the compilation database (see:\n# http://clang.llvm.org/docs/HowToSetupToolingForLLVM.html) containing the\n# options used when the source files were built. This is equivalent to\n# specifying the -p option to a clang tool, such as clang-check. These options\n# will then be passed to the parser. Any options specified with CLANG_OPTIONS\n# will be added as well.\n# Note: The availability of this option depends on whether or not doxygen was\n# generated with the -Duse_libclang=ON option for CMake.\n\nCLANG_DATABASE_PATH    =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the alphabetical class index\n#---------------------------------------------------------------------------\n\n# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all\n# compounds will be generated. Enable this if the project contains a lot of\n# classes, structs, unions or interfaces.\n# The default value is: YES.\n\nALPHABETICAL_INDEX     = YES\n\n# The IGNORE_PREFIX tag can be used to specify a prefix (or a list of prefixes)\n# that should be ignored while generating the index headers. The IGNORE_PREFIX\n# tag works for classes, function and member names. The entity will be placed in\n# the alphabetical list under the first letter of the entity name that remains\n# after removing the prefix.\n# This tag requires that the tag ALPHABETICAL_INDEX is set to YES.\n\nIGNORE_PREFIX          =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the HTML output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_HTML tag is set to YES, doxygen will generate HTML output\n# The default value is: YES.\n\nGENERATE_HTML          = YES\n\n# The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a\n# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of\n# it.\n# The default directory is: html.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_OUTPUT            = html\n\n# The HTML_FILE_EXTENSION tag can be used to specify the file extension for each\n# generated HTML page (for example: .htm, .php, .asp).\n# The default value is: .html.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_FILE_EXTENSION    = .html\n\n# The HTML_HEADER tag can be used to specify a user-defined HTML header file for\n# each generated HTML page. If the tag is left blank doxygen will generate a\n# standard header.\n#\n# To get valid HTML the header file that includes any scripts and style sheets\n# that doxygen needs, which is dependent on the configuration options used (e.g.\n# the setting GENERATE_TREEVIEW). It is highly recommended to start with a\n# default header using\n# doxygen -w html new_header.html new_footer.html new_stylesheet.css\n# YourConfigFile\n# and then modify the file new_header.html. See also section \"Doxygen usage\"\n# for information on how to generate the default header that doxygen normally\n# uses.\n# Note: The header is subject to change so you typically have to regenerate the\n# default header when upgrading to a newer version of doxygen. For a description\n# of the possible markers and block names see the documentation.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_HEADER            = docs/header.html\n\n# The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each\n# generated HTML page. If the tag is left blank doxygen will generate a standard\n# footer. See HTML_HEADER for more information on how to generate a default\n# footer and what special commands can be used inside the footer. See also\n# section \"Doxygen usage\" for information on how to generate the default footer\n# that doxygen normally uses.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_FOOTER            =\n\n# The HTML_STYLESHEET tag can be used to specify a user-defined cascading style\n# sheet that is used by each HTML page. It can be used to fine-tune the look of\n# the HTML output. If left blank doxygen will generate a default style sheet.\n# See also section \"Doxygen usage\" for information on how to generate the style\n# sheet that doxygen normally uses.\n# Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as\n# it is more robust and this tag (HTML_STYLESHEET) will in the future become\n# obsolete.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_STYLESHEET        =\n\n# The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined\n# cascading style sheets that are included after the standard style sheets\n# created by doxygen. Using this option one can overrule certain style aspects.\n# This is preferred over using HTML_STYLESHEET since it does not replace the\n# standard style sheet and is therefore more robust against future updates.\n# Doxygen will copy the style sheet files to the output directory.\n# Note: The order of the extra style sheet files is of importance (e.g. the last\n# style sheet in the list overrules the setting of the previous ones in the\n# list).\n# Note: Since the styling of scrollbars can currently not be overruled in\n# Webkit/Chromium, the styling will be left out of the default doxygen.css if\n# one or more extra stylesheets have been specified. So if scrollbar\n# customization is desired it has to be added explicitly. For an example see the\n# documentation.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_EXTRA_STYLESHEET  =doxygen-awesome-css/doxygen-awesome.css\n\n# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or\n# other source files which should be copied to the HTML output directory. Note\n# that these files will be copied to the base HTML output directory. Use the\n# $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these\n# files. In the HTML_STYLESHEET file, use the file name only. Also note that the\n# files will be copied as-is; there are no commands or markers available.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_EXTRA_FILES       =\n\n# The HTML_COLORSTYLE tag can be used to specify if the generated HTML output\n# should be rendered with a dark or light theme.\n# Possible values are: LIGHT always generates light mode output, DARK always\n# generates dark mode output, AUTO_LIGHT automatically sets the mode according\n# to the user preference, uses light mode if no preference is set (the default),\n# AUTO_DARK automatically sets the mode according to the user preference, uses\n# dark mode if no preference is set and TOGGLE allows a user to switch between\n# light and dark mode via a button.\n# The default value is: AUTO_LIGHT.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_COLORSTYLE        = LIGHT\n\n# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen\n# will adjust the colors in the style sheet and background images according to\n# this color. Hue is specified as an angle on a color-wheel, see\n# https://en.wikipedia.org/wiki/Hue for more information. For instance the value\n# 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300\n# purple, and 360 is red again.\n# Minimum value: 0, maximum value: 359, default value: 220.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_COLORSTYLE_HUE    = 220\n\n# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors\n# in the HTML output. For a value of 0 the output will use gray-scales only. A\n# value of 255 will produce the most vivid colors.\n# Minimum value: 0, maximum value: 255, default value: 100.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_COLORSTYLE_SAT    = 100\n\n# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the\n# luminance component of the colors in the HTML output. Values below 100\n# gradually make the output lighter, whereas values above 100 make the output\n# darker. The value divided by 100 is the actual gamma applied, so 80 represents\n# a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not\n# change the gamma.\n# Minimum value: 40, maximum value: 240, default value: 80.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_COLORSTYLE_GAMMA  = 80\n\n# If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML\n# documentation will contain a main index with vertical navigation menus that\n# are dynamically created via JavaScript. If disabled, the navigation index will\n# consists of multiple levels of tabs that are statically embedded in every HTML\n# page. Disable this option to support browsers that do not have JavaScript,\n# like the Qt help browser.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_DYNAMIC_MENUS     = YES\n\n# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML\n# documentation will contain sections that can be hidden and shown after the\n# page has loaded.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_DYNAMIC_SECTIONS  = NO\n\n# If the HTML_CODE_FOLDING tag is set to YES then classes and functions can be\n# dynamically folded and expanded in the generated HTML source code.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_CODE_FOLDING      = YES\n\n# If the HTML_COPY_CLIPBOARD tag is set to YES then doxygen will show an icon in\n# the top right corner of code and text fragments that allows the user to copy\n# its content to the clipboard. Note this only works if supported by the browser\n# and the web page is served via a secure context (see:\n# https://www.w3.org/TR/secure-contexts/), i.e. using the https: or file:\n# protocol.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_COPY_CLIPBOARD    = YES\n\n# Doxygen stores a couple of settings persistently in the browser (via e.g.\n# cookies). By default these settings apply to all HTML pages generated by\n# doxygen across all projects. The HTML_PROJECT_COOKIE tag can be used to store\n# the settings under a project specific key, such that the user preferences will\n# be stored separately.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_PROJECT_COOKIE    =\n\n# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries\n# shown in the various tree structured indices initially; the user can expand\n# and collapse entries dynamically later on. Doxygen will expand the tree to\n# such a level that at most the specified number of entries are visible (unless\n# a fully collapsed tree already exceeds this amount). So setting the number of\n# entries 1 will produce a full collapsed tree by default. 0 is a special value\n# representing an infinite number of entries and will result in a full expanded\n# tree by default.\n# Minimum value: 0, maximum value: 9999, default value: 100.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_INDEX_NUM_ENTRIES = 100\n\n# If the GENERATE_DOCSET tag is set to YES, additional index files will be\n# generated that can be used as input for Apple's Xcode 3 integrated development\n# environment (see:\n# https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To\n# create a documentation set, doxygen will generate a Makefile in the HTML\n# output directory. Running make will produce the docset in that directory and\n# running make install will install the docset in\n# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at\n# startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy\n# genXcode/_index.html for more information.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nGENERATE_DOCSET        = NO\n\n# This tag determines the name of the docset feed. A documentation feed provides\n# an umbrella under which multiple documentation sets from a single provider\n# (such as a company or product suite) can be grouped.\n# The default value is: Doxygen generated docs.\n# This tag requires that the tag GENERATE_DOCSET is set to YES.\n\nDOCSET_FEEDNAME        = \"Doxygen generated docs\"\n\n# This tag determines the URL of the docset feed. A documentation feed provides\n# an umbrella under which multiple documentation sets from a single provider\n# (such as a company or product suite) can be grouped.\n# This tag requires that the tag GENERATE_DOCSET is set to YES.\n\nDOCSET_FEEDURL         =\n\n# This tag specifies a string that should uniquely identify the documentation\n# set bundle. This should be a reverse domain-name style string, e.g.\n# com.mycompany.MyDocSet. Doxygen will append .docset to the name.\n# The default value is: org.doxygen.Project.\n# This tag requires that the tag GENERATE_DOCSET is set to YES.\n\nDOCSET_BUNDLE_ID       = org.doxygen.Project\n\n# The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify\n# the documentation publisher. This should be a reverse domain-name style\n# string, e.g. com.mycompany.MyDocSet.documentation.\n# The default value is: org.doxygen.Publisher.\n# This tag requires that the tag GENERATE_DOCSET is set to YES.\n\nDOCSET_PUBLISHER_ID    = org.doxygen.Publisher\n\n# The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher.\n# The default value is: Publisher.\n# This tag requires that the tag GENERATE_DOCSET is set to YES.\n\nDOCSET_PUBLISHER_NAME  = Publisher\n\n# If the GENERATE_HTMLHELP tag is set to YES then doxygen generates three\n# additional HTML index files: index.hhp, index.hhc, and index.hhk. The\n# index.hhp is a project file that can be read by Microsoft's HTML Help Workshop\n# on Windows. In the beginning of 2021 Microsoft took the original page, with\n# a.o. the download links, offline the HTML help workshop was already many years\n# in maintenance mode). You can download the HTML help workshop from the web\n# archives at Installation executable (see:\n# http://web.archive.org/web/20160201063255/http://download.microsoft.com/downlo\n# ad/0/A/9/0A939EF6-E31C-430F-A3DF-DFAE7960D564/htmlhelp.exe).\n#\n# The HTML Help Workshop contains a compiler that can convert all HTML output\n# generated by doxygen into a single compiled HTML file (.chm). Compiled HTML\n# files are now used as the Windows 98 help format, and will replace the old\n# Windows help format (.hlp) on all Windows platforms in the future. Compressed\n# HTML files also contain an index, a table of contents, and you can search for\n# words in the documentation. The HTML workshop also contains a viewer for\n# compressed HTML files.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nGENERATE_HTMLHELP      = NO\n\n# The CHM_FILE tag can be used to specify the file name of the resulting .chm\n# file. You can add a path in front of the file if the result should not be\n# written to the html output directory.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nCHM_FILE               =\n\n# The HHC_LOCATION tag can be used to specify the location (absolute path\n# including file name) of the HTML help compiler (hhc.exe). If non-empty,\n# doxygen will try to run the HTML help compiler on the generated index.hhp.\n# The file has to be specified with full path.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nHHC_LOCATION           =\n\n# The GENERATE_CHI flag controls if a separate .chi index file is generated\n# (YES) or that it should be included in the main .chm file (NO).\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nGENERATE_CHI           = NO\n\n# The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc)\n# and project file content.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nCHM_INDEX_ENCODING     =\n\n# The BINARY_TOC flag controls whether a binary table of contents is generated\n# (YES) or a normal table of contents (NO) in the .chm file. Furthermore it\n# enables the Previous and Next buttons.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nBINARY_TOC             = NO\n\n# The TOC_EXPAND flag can be set to YES to add extra items for group members to\n# the table of contents of the HTML help documentation and to the tree view.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTMLHELP is set to YES.\n\nTOC_EXPAND             = NO\n\n# The SITEMAP_URL tag is used to specify the full URL of the place where the\n# generated documentation will be placed on the server by the user during the\n# deployment of the documentation. The generated sitemap is called sitemap.xml\n# and placed on the directory specified by HTML_OUTPUT. In case no SITEMAP_URL\n# is specified no sitemap is generated. For information about the sitemap\n# protocol see https://www.sitemaps.org\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nSITEMAP_URL            =\n\n# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and\n# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that\n# can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help\n# (.qch) of the generated HTML documentation.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nGENERATE_QHP           = NO\n\n# If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify\n# the file name of the resulting .qch file. The path specified is relative to\n# the HTML output folder.\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQCH_FILE               =\n\n# The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help\n# Project output. For more information please see Qt Help Project / Namespace\n# (see:\n# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace).\n# The default value is: org.doxygen.Project.\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHP_NAMESPACE          = org.doxygen.Project\n\n# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt\n# Help Project output. For more information please see Qt Help Project / Virtual\n# Folders (see:\n# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders).\n# The default value is: doc.\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHP_VIRTUAL_FOLDER     = doc\n\n# If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom\n# filter to add. For more information please see Qt Help Project / Custom\n# Filters (see:\n# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHP_CUST_FILTER_NAME   =\n\n# The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the\n# custom filter to add. For more information please see Qt Help Project / Custom\n# Filters (see:\n# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters).\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHP_CUST_FILTER_ATTRS  =\n\n# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this\n# project's filter section matches. Qt Help Project / Filter Attributes (see:\n# https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes).\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHP_SECT_FILTER_ATTRS  =\n\n# The QHG_LOCATION tag can be used to specify the location (absolute path\n# including file name) of Qt's qhelpgenerator. If non-empty doxygen will try to\n# run qhelpgenerator on the generated .qhp file.\n# This tag requires that the tag GENERATE_QHP is set to YES.\n\nQHG_LOCATION           =\n\n# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be\n# generated, together with the HTML files, they form an Eclipse help plugin. To\n# install this plugin and make it available under the help contents menu in\n# Eclipse, the contents of the directory containing the HTML and XML files needs\n# to be copied into the plugins directory of eclipse. The name of the directory\n# within the plugins directory should be the same as the ECLIPSE_DOC_ID value.\n# After copying Eclipse needs to be restarted before the help appears.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nGENERATE_ECLIPSEHELP   = NO\n\n# A unique identifier for the Eclipse help plugin. When installing the plugin\n# the directory name containing the HTML and XML files should also have this\n# name. Each documentation set should have its own identifier.\n# The default value is: org.doxygen.Project.\n# This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES.\n\nECLIPSE_DOC_ID         = org.doxygen.Project\n\n# If you want full control over the layout of the generated HTML pages it might\n# be necessary to disable the index and replace it with your own. The\n# DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top\n# of each HTML page. A value of NO enables the index and the value YES disables\n# it. Since the tabs in the index contain the same information as the navigation\n# tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nDISABLE_INDEX          = NO\n\n# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index\n# structure should be generated to display hierarchical information. If the tag\n# value is set to YES, a side panel will be generated containing a tree-like\n# index structure (just like the one that is generated for HTML Help). For this\n# to work a browser that supports JavaScript, DHTML, CSS and frames is required\n# (i.e. any modern browser). Windows users are probably better off using the\n# HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can\n# further fine tune the look of the index (see \"Fine-tuning the output\"). As an\n# example, the default style sheet generated by doxygen has an example that\n# shows how to put an image at the root of the tree instead of the PROJECT_NAME.\n# Since the tree basically has the same information as the tab index, you could\n# consider setting DISABLE_INDEX to YES when enabling this option.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nGENERATE_TREEVIEW      = YES\n\n# When both GENERATE_TREEVIEW and DISABLE_INDEX are set to YES, then the\n# FULL_SIDEBAR option determines if the side bar is limited to only the treeview\n# area (value NO) or if it should extend to the full height of the window (value\n# YES). Setting this to YES gives a layout similar to\n# https://docs.readthedocs.io with more room for contents, but less room for the\n# project logo, title, and description. If either GENERATE_TREEVIEW or\n# DISABLE_INDEX is set to NO, this option has no effect.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nFULL_SIDEBAR           = NO\n\n# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that\n# doxygen will group on one line in the generated HTML documentation.\n#\n# Note that a value of 0 will completely suppress the enum values from appearing\n# in the overview section.\n# Minimum value: 0, maximum value: 20, default value: 4.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nENUM_VALUES_PER_LINE   = 4\n\n# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used\n# to set the initial width (in pixels) of the frame in which the tree is shown.\n# Minimum value: 0, maximum value: 1500, default value: 250.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nTREEVIEW_WIDTH         = 250\n\n# If the EXT_LINKS_IN_WINDOW option is set to YES, doxygen will open links to\n# external symbols imported via tag files in a separate window.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nEXT_LINKS_IN_WINDOW    = NO\n\n# If the OBFUSCATE_EMAILS tag is set to YES, doxygen will obfuscate email\n# addresses.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nOBFUSCATE_EMAILS       = YES\n\n# If the HTML_FORMULA_FORMAT option is set to svg, doxygen will use the pdf2svg\n# tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see\n# https://inkscape.org) to generate formulas as SVG images instead of PNGs for\n# the HTML output. These images will generally look nicer at scaled resolutions.\n# Possible values are: png (the default) and svg (looks nicer but requires the\n# pdf2svg or inkscape tool).\n# The default value is: png.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nHTML_FORMULA_FORMAT    = png\n\n# Use this tag to change the font size of LaTeX formulas included as images in\n# the HTML documentation. When you change the font size after a successful\n# doxygen run you need to manually remove any form_*.png images from the HTML\n# output directory to force them to be regenerated.\n# Minimum value: 8, maximum value: 50, default value: 10.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nFORMULA_FONTSIZE       = 10\n\n# The FORMULA_MACROFILE can contain LaTeX \\newcommand and \\renewcommand commands\n# to create new LaTeX commands to be used in formulas as building blocks. See\n# the section \"Including formulas\" for details.\n\nFORMULA_MACROFILE      =\n\n# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see\n# https://www.mathjax.org) which uses client side JavaScript for the rendering\n# instead of using pre-rendered bitmaps. Use this if you do not have LaTeX\n# installed or if you want to formulas look prettier in the HTML output. When\n# enabled you may also need to install MathJax separately and configure the path\n# to it using the MATHJAX_RELPATH option.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nUSE_MATHJAX            = NO\n\n# With MATHJAX_VERSION it is possible to specify the MathJax version to be used.\n# Note that the different versions of MathJax have different requirements with\n# regards to the different settings, so it is possible that also other MathJax\n# settings have to be changed when switching between the different MathJax\n# versions.\n# Possible values are: MathJax_2 and MathJax_3.\n# The default value is: MathJax_2.\n# This tag requires that the tag USE_MATHJAX is set to YES.\n\nMATHJAX_VERSION        = MathJax_2\n\n# When MathJax is enabled you can set the default output format to be used for\n# the MathJax output. For more details about the output format see MathJax\n# version 2 (see:\n# http://docs.mathjax.org/en/v2.7-latest/output.html) and MathJax version 3\n# (see:\n# http://docs.mathjax.org/en/latest/web/components/output.html).\n# Possible values are: HTML-CSS (which is slower, but has the best\n# compatibility. This is the name for Mathjax version 2, for MathJax version 3\n# this will be translated into chtml), NativeMML (i.e. MathML. Only supported\n# for MathJax 2. For MathJax version 3 chtml will be used instead.), chtml (This\n# is the name for Mathjax version 3, for MathJax version 2 this will be\n# translated into HTML-CSS) and SVG.\n# The default value is: HTML-CSS.\n# This tag requires that the tag USE_MATHJAX is set to YES.\n\nMATHJAX_FORMAT         = HTML-CSS\n\n# When MathJax is enabled you need to specify the location relative to the HTML\n# output directory using the MATHJAX_RELPATH option. The destination directory\n# should contain the MathJax.js script. For instance, if the mathjax directory\n# is located at the same level as the HTML output directory, then\n# MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax\n# Content Delivery Network so you can quickly see the result without installing\n# MathJax. However, it is strongly recommended to install a local copy of\n# MathJax from https://www.mathjax.org before deployment. The default value is:\n# - in case of MathJax version 2: https://cdn.jsdelivr.net/npm/mathjax@2\n# - in case of MathJax version 3: https://cdn.jsdelivr.net/npm/mathjax@3\n# This tag requires that the tag USE_MATHJAX is set to YES.\n\nMATHJAX_RELPATH        =\n\n# The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax\n# extension names that should be enabled during MathJax rendering. For example\n# for MathJax version 2 (see\n# https://docs.mathjax.org/en/v2.7-latest/tex.html#tex-and-latex-extensions):\n# MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols\n# For example for MathJax version 3 (see\n# http://docs.mathjax.org/en/latest/input/tex/extensions/index.html):\n# MATHJAX_EXTENSIONS = ams\n# This tag requires that the tag USE_MATHJAX is set to YES.\n\nMATHJAX_EXTENSIONS     =\n\n# The MATHJAX_CODEFILE tag can be used to specify a file with javascript pieces\n# of code that will be used on startup of the MathJax code. See the MathJax site\n# (see:\n# http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an\n# example see the documentation.\n# This tag requires that the tag USE_MATHJAX is set to YES.\n\nMATHJAX_CODEFILE       =\n\n# When the SEARCHENGINE tag is enabled doxygen will generate a search box for\n# the HTML output. The underlying search engine uses javascript and DHTML and\n# should work on any modern browser. Note that when using HTML help\n# (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET)\n# there is already a search function so this one should typically be disabled.\n# For large projects the javascript based search engine can be slow, then\n# enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to\n# search using the keyboard; to jump to the search box use <access key> + S\n# (what the <access key> is depends on the OS and browser, but it is typically\n# <CTRL>, <ALT>/<option>, or both). Inside the search box use the <cursor down\n# key> to jump into the search results window, the results can be navigated\n# using the <cursor keys>. Press <Enter> to select an item or <escape> to cancel\n# the search. The filter options can be selected when the cursor is inside the\n# search box by pressing <Shift>+<cursor down>. Also here use the <cursor keys>\n# to select a filter and <Enter> or <escape> to activate or cancel the filter\n# option.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_HTML is set to YES.\n\nSEARCHENGINE           = YES\n\n# When the SERVER_BASED_SEARCH tag is enabled the search engine will be\n# implemented using a web server instead of a web client using JavaScript. There\n# are two flavors of web server based searching depending on the EXTERNAL_SEARCH\n# setting. When disabled, doxygen will generate a PHP script for searching and\n# an index file used by the script. When EXTERNAL_SEARCH is enabled the indexing\n# and searching needs to be provided by external tools. See the section\n# \"External Indexing and Searching\" for details.\n# The default value is: NO.\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nSERVER_BASED_SEARCH    = NO\n\n# When EXTERNAL_SEARCH tag is enabled doxygen will no longer generate the PHP\n# script for searching. Instead the search results are written to an XML file\n# which needs to be processed by an external indexer. Doxygen will invoke an\n# external search engine pointed to by the SEARCHENGINE_URL option to obtain the\n# search results.\n#\n# Doxygen ships with an example indexer (doxyindexer) and search engine\n# (doxysearch.cgi) which are based on the open source search engine library\n# Xapian (see:\n# https://xapian.org/).\n#\n# See the section \"External Indexing and Searching\" for details.\n# The default value is: NO.\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nEXTERNAL_SEARCH        = NO\n\n# The SEARCHENGINE_URL should point to a search engine hosted by a web server\n# which will return the search results when EXTERNAL_SEARCH is enabled.\n#\n# Doxygen ships with an example indexer (doxyindexer) and search engine\n# (doxysearch.cgi) which are based on the open source search engine library\n# Xapian (see:\n# https://xapian.org/). See the section \"External Indexing and Searching\" for\n# details.\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nSEARCHENGINE_URL       =\n\n# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the unindexed\n# search data is written to a file for indexing by an external tool. With the\n# SEARCHDATA_FILE tag the name of this file can be specified.\n# The default file is: searchdata.xml.\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nSEARCHDATA_FILE        = searchdata.xml\n\n# When SERVER_BASED_SEARCH and EXTERNAL_SEARCH are both enabled the\n# EXTERNAL_SEARCH_ID tag can be used as an identifier for the project. This is\n# useful in combination with EXTRA_SEARCH_MAPPINGS to search through multiple\n# projects and redirect the results back to the right project.\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nEXTERNAL_SEARCH_ID     =\n\n# The EXTRA_SEARCH_MAPPINGS tag can be used to enable searching through doxygen\n# projects other than the one defined by this configuration file, but that are\n# all added to the same external search index. Each project needs to have a\n# unique id set via EXTERNAL_SEARCH_ID. The search mapping then maps the id of\n# to a relative location where the documentation can be found. The format is:\n# EXTRA_SEARCH_MAPPINGS = tagname1=loc1 tagname2=loc2 ...\n# This tag requires that the tag SEARCHENGINE is set to YES.\n\nEXTRA_SEARCH_MAPPINGS  =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the LaTeX output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_LATEX tag is set to YES, doxygen will generate LaTeX output.\n# The default value is: YES.\n\nGENERATE_LATEX         = NO\n\n# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put. If a\n# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of\n# it.\n# The default directory is: latex.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_OUTPUT           = latex\n\n# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be\n# invoked.\n#\n# Note that when not enabling USE_PDFLATEX the default is latex when enabling\n# USE_PDFLATEX the default is pdflatex and when in the later case latex is\n# chosen this is overwritten by pdflatex. For specific output languages the\n# default can have been set differently, this depends on the implementation of\n# the output language.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_CMD_NAME         =\n\n# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to generate\n# index for LaTeX.\n# Note: This tag is used in the Makefile / make.bat.\n# See also: LATEX_MAKEINDEX_CMD for the part in the generated output file\n# (.tex).\n# The default file is: makeindex.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nMAKEINDEX_CMD_NAME     = makeindex\n\n# The LATEX_MAKEINDEX_CMD tag can be used to specify the command name to\n# generate index for LaTeX. In case there is no backslash (\\) as first character\n# it will be automatically added in the LaTeX code.\n# Note: This tag is used in the generated output file (.tex).\n# See also: MAKEINDEX_CMD_NAME for the part in the Makefile / make.bat.\n# The default value is: makeindex.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_MAKEINDEX_CMD    = makeindex\n\n# If the COMPACT_LATEX tag is set to YES, doxygen generates more compact LaTeX\n# documents. This may be useful for small projects and may help to save some\n# trees in general.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nCOMPACT_LATEX          = NO\n\n# The PAPER_TYPE tag can be used to set the paper type that is used by the\n# printer.\n# Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x\n# 14 inches) and executive (7.25 x 10.5 inches).\n# The default value is: a4.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nPAPER_TYPE             = a4\n\n# The EXTRA_PACKAGES tag can be used to specify one or more LaTeX package names\n# that should be included in the LaTeX output. The package can be specified just\n# by its name or with the correct syntax as to be used with the LaTeX\n# \\usepackage command. To get the times font for instance you can specify :\n# EXTRA_PACKAGES=times or EXTRA_PACKAGES={times}\n# To use the option intlimits with the amsmath package you can specify:\n# EXTRA_PACKAGES=[intlimits]{amsmath}\n# If left blank no extra packages will be included.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nEXTRA_PACKAGES         =\n\n# The LATEX_HEADER tag can be used to specify a user-defined LaTeX header for\n# the generated LaTeX document. The header should contain everything until the\n# first chapter. If it is left blank doxygen will generate a standard header. It\n# is highly recommended to start with a default header using\n# doxygen -w latex new_header.tex new_footer.tex new_stylesheet.sty\n# and then modify the file new_header.tex. See also section \"Doxygen usage\" for\n# information on how to generate the default header that doxygen normally uses.\n#\n# Note: Only use a user-defined header if you know what you are doing!\n# Note: The header is subject to change so you typically have to regenerate the\n# default header when upgrading to a newer version of doxygen. The following\n# commands have a special meaning inside the header (and footer): For a\n# description of the possible markers and block names see the documentation.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_HEADER           =\n\n# The LATEX_FOOTER tag can be used to specify a user-defined LaTeX footer for\n# the generated LaTeX document. The footer should contain everything after the\n# last chapter. If it is left blank doxygen will generate a standard footer. See\n# LATEX_HEADER for more information on how to generate a default footer and what\n# special commands can be used inside the footer. See also section \"Doxygen\n# usage\" for information on how to generate the default footer that doxygen\n# normally uses. Note: Only use a user-defined footer if you know what you are\n# doing!\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_FOOTER           =\n\n# The LATEX_EXTRA_STYLESHEET tag can be used to specify additional user-defined\n# LaTeX style sheets that are included after the standard style sheets created\n# by doxygen. Using this option one can overrule certain style aspects. Doxygen\n# will copy the style sheet files to the output directory.\n# Note: The order of the extra style sheet files is of importance (e.g. the last\n# style sheet in the list overrules the setting of the previous ones in the\n# list).\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_EXTRA_STYLESHEET =\n\n# The LATEX_EXTRA_FILES tag can be used to specify one or more extra images or\n# other source files which should be copied to the LATEX_OUTPUT output\n# directory. Note that the files will be copied as-is; there are no commands or\n# markers available.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_EXTRA_FILES      =\n\n# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated is\n# prepared for conversion to PDF (using ps2pdf or pdflatex). The PDF file will\n# contain links (just like the HTML output) instead of page references. This\n# makes the output suitable for online browsing using a PDF viewer.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nPDF_HYPERLINKS         = YES\n\n# If the USE_PDFLATEX tag is set to YES, doxygen will use the engine as\n# specified with LATEX_CMD_NAME to generate the PDF file directly from the LaTeX\n# files. Set this option to YES, to get a higher quality PDF documentation.\n#\n# See also section LATEX_CMD_NAME for selecting the engine.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nUSE_PDFLATEX           = YES\n\n# The LATEX_BATCHMODE tag signals the behavior of LaTeX in case of an error.\n# Possible values are: NO same as ERROR_STOP, YES same as BATCH, BATCH In batch\n# mode nothing is printed on the terminal, errors are scrolled as if <return> is\n# hit at every error; missing files that TeX tries to input or request from\n# keyboard input (\\read on a not open input stream) cause the job to abort,\n# NON_STOP In nonstop mode the diagnostic message will appear on the terminal,\n# but there is no possibility of user interaction just like in batch mode,\n# SCROLL In scroll mode, TeX will stop only for missing files to input or if\n# keyboard input is necessary and ERROR_STOP In errorstop mode, TeX will stop at\n# each error, asking for user intervention.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_BATCHMODE        = NO\n\n# If the LATEX_HIDE_INDICES tag is set to YES then doxygen will not include the\n# index chapters (such as File Index, Compound Index, etc.) in the output.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_HIDE_INDICES     = NO\n\n# The LATEX_BIB_STYLE tag can be used to specify the style to use for the\n# bibliography, e.g. plainnat, or ieeetr. See\n# https://en.wikipedia.org/wiki/BibTeX and \\cite for more info.\n# The default value is: plain.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_BIB_STYLE        = plain\n\n# The LATEX_EMOJI_DIRECTORY tag is used to specify the (relative or absolute)\n# path from which the emoji images will be read. If a relative path is entered,\n# it will be relative to the LATEX_OUTPUT directory. If left blank the\n# LATEX_OUTPUT directory will be used.\n# This tag requires that the tag GENERATE_LATEX is set to YES.\n\nLATEX_EMOJI_DIRECTORY  =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the RTF output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_RTF tag is set to YES, doxygen will generate RTF output. The\n# RTF output is optimized for Word 97 and may not look too pretty with other RTF\n# readers/editors.\n# The default value is: NO.\n\nGENERATE_RTF           = NO\n\n# The RTF_OUTPUT tag is used to specify where the RTF docs will be put. If a\n# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of\n# it.\n# The default directory is: rtf.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nRTF_OUTPUT             = rtf\n\n# If the COMPACT_RTF tag is set to YES, doxygen generates more compact RTF\n# documents. This may be useful for small projects and may help to save some\n# trees in general.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nCOMPACT_RTF            = NO\n\n# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated will\n# contain hyperlink fields. The RTF file will contain links (just like the HTML\n# output) instead of page references. This makes the output suitable for online\n# browsing using Word or some other Word compatible readers that support those\n# fields.\n#\n# Note: WordPad (write) and others do not support links.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nRTF_HYPERLINKS         = NO\n\n# Load stylesheet definitions from file. Syntax is similar to doxygen's\n# configuration file, i.e. a series of assignments. You only have to provide\n# replacements, missing definitions are set to their default value.\n#\n# See also section \"Doxygen usage\" for information on how to generate the\n# default style sheet that doxygen normally uses.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nRTF_STYLESHEET_FILE    =\n\n# Set optional variables used in the generation of an RTF document. Syntax is\n# similar to doxygen's configuration file. A template extensions file can be\n# generated using doxygen -e rtf extensionFile.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nRTF_EXTENSIONS_FILE    =\n\n# The RTF_EXTRA_FILES tag can be used to specify one or more extra images or\n# other source files which should be copied to the RTF_OUTPUT output directory.\n# Note that the files will be copied as-is; there are no commands or markers\n# available.\n# This tag requires that the tag GENERATE_RTF is set to YES.\n\nRTF_EXTRA_FILES        =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the man page output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_MAN tag is set to YES, doxygen will generate man pages for\n# classes and files.\n# The default value is: NO.\n\nGENERATE_MAN           = NO\n\n# The MAN_OUTPUT tag is used to specify where the man pages will be put. If a\n# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of\n# it. A directory man3 will be created inside the directory specified by\n# MAN_OUTPUT.\n# The default directory is: man.\n# This tag requires that the tag GENERATE_MAN is set to YES.\n\nMAN_OUTPUT             = man\n\n# The MAN_EXTENSION tag determines the extension that is added to the generated\n# man pages. In case the manual section does not start with a number, the number\n# 3 is prepended. The dot (.) at the beginning of the MAN_EXTENSION tag is\n# optional.\n# The default value is: .3.\n# This tag requires that the tag GENERATE_MAN is set to YES.\n\nMAN_EXTENSION          = .3\n\n# The MAN_SUBDIR tag determines the name of the directory created within\n# MAN_OUTPUT in which the man pages are placed. If defaults to man followed by\n# MAN_EXTENSION with the initial . removed.\n# This tag requires that the tag GENERATE_MAN is set to YES.\n\nMAN_SUBDIR             =\n\n# If the MAN_LINKS tag is set to YES and doxygen generates man output, then it\n# will generate one additional man file for each entity documented in the real\n# man page(s). These additional files only source the real man page, but without\n# them the man command would be unable to find the correct page.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_MAN is set to YES.\n\nMAN_LINKS              = NO\n\n#---------------------------------------------------------------------------\n# Configuration options related to the XML output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_XML tag is set to YES, doxygen will generate an XML file that\n# captures the structure of the code including all documentation.\n# The default value is: NO.\n\nGENERATE_XML           = NO\n\n# The XML_OUTPUT tag is used to specify where the XML pages will be put. If a\n# relative path is entered the value of OUTPUT_DIRECTORY will be put in front of\n# it.\n# The default directory is: xml.\n# This tag requires that the tag GENERATE_XML is set to YES.\n\nXML_OUTPUT             = xml\n\n# If the XML_PROGRAMLISTING tag is set to YES, doxygen will dump the program\n# listings (including syntax highlighting and cross-referencing information) to\n# the XML output. Note that enabling this will significantly increase the size\n# of the XML output.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_XML is set to YES.\n\nXML_PROGRAMLISTING     = YES\n\n# If the XML_NS_MEMB_FILE_SCOPE tag is set to YES, doxygen will include\n# namespace members in file scope as well, matching the HTML output.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_XML is set to YES.\n\nXML_NS_MEMB_FILE_SCOPE = NO\n\n#---------------------------------------------------------------------------\n# Configuration options related to the DOCBOOK output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_DOCBOOK tag is set to YES, doxygen will generate Docbook files\n# that can be used to generate PDF.\n# The default value is: NO.\n\nGENERATE_DOCBOOK       = NO\n\n# The DOCBOOK_OUTPUT tag is used to specify where the Docbook pages will be put.\n# If a relative path is entered the value of OUTPUT_DIRECTORY will be put in\n# front of it.\n# The default directory is: docbook.\n# This tag requires that the tag GENERATE_DOCBOOK is set to YES.\n\nDOCBOOK_OUTPUT         = docbook\n\n#---------------------------------------------------------------------------\n# Configuration options for the AutoGen Definitions output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_AUTOGEN_DEF tag is set to YES, doxygen will generate an\n# AutoGen Definitions (see https://autogen.sourceforge.net/) file that captures\n# the structure of the code including all documentation. Note that this feature\n# is still experimental and incomplete at the moment.\n# The default value is: NO.\n\nGENERATE_AUTOGEN_DEF   = NO\n\n#---------------------------------------------------------------------------\n# Configuration options related to Sqlite3 output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_SQLITE3 tag is set to YES doxygen will generate a Sqlite3\n# database with symbols found by doxygen stored in tables.\n# The default value is: NO.\n\nGENERATE_SQLITE3       = NO\n\n# The SQLITE3_OUTPUT tag is used to specify where the Sqlite3 database will be\n# put. If a relative path is entered the value of OUTPUT_DIRECTORY will be put\n# in front of it.\n# The default directory is: sqlite3.\n# This tag requires that the tag GENERATE_SQLITE3 is set to YES.\n\nSQLITE3_OUTPUT         = sqlite3\n\n# The SQLITE3_RECREATE_DB tag is set to YES, the existing doxygen_sqlite3.db\n# database file will be recreated with each doxygen run. If set to NO, doxygen\n# will warn if a database file is already found and not modify it.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_SQLITE3 is set to YES.\n\nSQLITE3_RECREATE_DB    = YES\n\n#---------------------------------------------------------------------------\n# Configuration options related to the Perl module output\n#---------------------------------------------------------------------------\n\n# If the GENERATE_PERLMOD tag is set to YES, doxygen will generate a Perl module\n# file that captures the structure of the code including all documentation.\n#\n# Note that this feature is still experimental and incomplete at the moment.\n# The default value is: NO.\n\nGENERATE_PERLMOD       = NO\n\n# If the PERLMOD_LATEX tag is set to YES, doxygen will generate the necessary\n# Makefile rules, Perl scripts and LaTeX code to be able to generate PDF and DVI\n# output from the Perl module output.\n# The default value is: NO.\n# This tag requires that the tag GENERATE_PERLMOD is set to YES.\n\nPERLMOD_LATEX          = NO\n\n# If the PERLMOD_PRETTY tag is set to YES, the Perl module output will be nicely\n# formatted so it can be parsed by a human reader. This is useful if you want to\n# understand what is going on. On the other hand, if this tag is set to NO, the\n# size of the Perl module output will be much smaller and Perl will parse it\n# just the same.\n# The default value is: YES.\n# This tag requires that the tag GENERATE_PERLMOD is set to YES.\n\nPERLMOD_PRETTY         = YES\n\n# The names of the make variables in the generated doxyrules.make file are\n# prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX. This is useful\n# so different doxyrules.make files included by the same Makefile don't\n# overwrite each other's variables.\n# This tag requires that the tag GENERATE_PERLMOD is set to YES.\n\nPERLMOD_MAKEVAR_PREFIX =\n\n#---------------------------------------------------------------------------\n# Configuration options related to the preprocessor\n#---------------------------------------------------------------------------\n\n# If the ENABLE_PREPROCESSING tag is set to YES, doxygen will evaluate all\n# C-preprocessor directives found in the sources and include files.\n# The default value is: YES.\n\nENABLE_PREPROCESSING   = YES\n\n# If the MACRO_EXPANSION tag is set to YES, doxygen will expand all macro names\n# in the source code. If set to NO, only conditional compilation will be\n# performed. Macro expansion can be done in a controlled way by setting\n# EXPAND_ONLY_PREDEF to YES.\n# The default value is: NO.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nMACRO_EXPANSION        = NO\n\n# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES then\n# the macro expansion is limited to the macros specified with the PREDEFINED and\n# EXPAND_AS_DEFINED tags.\n# The default value is: NO.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nEXPAND_ONLY_PREDEF     = NO\n\n# If the SEARCH_INCLUDES tag is set to YES, the include files in the\n# INCLUDE_PATH will be searched if a #include is found.\n# The default value is: YES.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nSEARCH_INCLUDES        = YES\n\n# The INCLUDE_PATH tag can be used to specify one or more directories that\n# contain include files that are not input files but should be processed by the\n# preprocessor. Note that the INCLUDE_PATH is not recursive, so the setting of\n# RECURSIVE has no effect here.\n# This tag requires that the tag SEARCH_INCLUDES is set to YES.\n\nINCLUDE_PATH           =\n\n# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard\n# patterns (like *.h and *.hpp) to filter out the header-files in the\n# directories. If left blank, the patterns specified with FILE_PATTERNS will be\n# used.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nINCLUDE_FILE_PATTERNS  =\n\n# The PREDEFINED tag can be used to specify one or more macro names that are\n# defined before the preprocessor is started (similar to the -D option of e.g.\n# gcc). The argument of the tag is a list of macros of the form: name or\n# name=definition (no spaces). If the definition and the \"=\" are omitted, \"=1\"\n# is assumed. To prevent a macro definition from being undefined via #undef or\n# recursively expanded use the := operator instead of the = operator.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nPREDEFINED             =\n\n# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then this\n# tag can be used to specify a list of macro names that should be expanded. The\n# macro definition that is found in the sources will be used. Use the PREDEFINED\n# tag if you want to use a different macro definition that overrules the\n# definition found in the source code.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nEXPAND_AS_DEFINED      =\n\n# If the SKIP_FUNCTION_MACROS tag is set to YES then doxygen's preprocessor will\n# remove all references to function-like macros that are alone on a line, have\n# an all uppercase name, and do not end with a semicolon. Such function macros\n# are typically used for boiler-plate code, and will confuse the parser if not\n# removed.\n# The default value is: YES.\n# This tag requires that the tag ENABLE_PREPROCESSING is set to YES.\n\nSKIP_FUNCTION_MACROS   = YES\n\n#---------------------------------------------------------------------------\n# Configuration options related to external references\n#---------------------------------------------------------------------------\n\n# The TAGFILES tag can be used to specify one or more tag files. For each tag\n# file the location of the external documentation should be added. The format of\n# a tag file without this location is as follows:\n# TAGFILES = file1 file2 ...\n# Adding location for the tag files is done as follows:\n# TAGFILES = file1=loc1 \"file2 = loc2\" ...\n# where loc1 and loc2 can be relative or absolute paths or URLs. See the\n# section \"Linking to external documentation\" for more information about the use\n# of tag files.\n# Note: Each tag file must have a unique name (where the name does NOT include\n# the path). If a tag file is not located in the directory in which doxygen is\n# run, you must also specify the path to the tagfile here.\n\nTAGFILES               =\n\n# When a file name is specified after GENERATE_TAGFILE, doxygen will create a\n# tag file that is based on the input files it reads. See section \"Linking to\n# external documentation\" for more information about the usage of tag files.\n\nGENERATE_TAGFILE       =\n\n# If the ALLEXTERNALS tag is set to YES, all external classes and namespaces\n# will be listed in the class and namespace index. If set to NO, only the\n# inherited external classes will be listed.\n# The default value is: NO.\n\nALLEXTERNALS           = NO\n\n# If the EXTERNAL_GROUPS tag is set to YES, all external groups will be listed\n# in the topic index. If set to NO, only the current project's groups will be\n# listed.\n# The default value is: YES.\n\nEXTERNAL_GROUPS        = YES\n\n# If the EXTERNAL_PAGES tag is set to YES, all external pages will be listed in\n# the related pages index. If set to NO, only the current project's pages will\n# be listed.\n# The default value is: YES.\n\nEXTERNAL_PAGES         = YES\n\n#---------------------------------------------------------------------------\n# Configuration options related to diagram generator tools\n#---------------------------------------------------------------------------\n\n# If set to YES the inheritance and collaboration graphs will hide inheritance\n# and usage relations if the target is undocumented or is not a class.\n# The default value is: YES.\n\nHIDE_UNDOC_RELATIONS   = YES\n\n# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is\n# available from the path. This tool is part of Graphviz (see:\n# https://www.graphviz.org/), a graph visualization toolkit from AT&T and Lucent\n# Bell Labs. The other options in this section have no effect if this option is\n# set to NO\n# The default value is: NO.\n\nHAVE_DOT               = NO\n\n# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is allowed\n# to run in parallel. When set to 0 doxygen will base this on the number of\n# processors available in the system. You can set it explicitly to a value\n# larger than 0 to get control over the balance between CPU load and processing\n# speed.\n# Minimum value: 0, maximum value: 32, default value: 0.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_NUM_THREADS        = 0\n\n# DOT_COMMON_ATTR is common attributes for nodes, edges and labels of\n# subgraphs. When you want a differently looking font in the dot files that\n# doxygen generates you can specify fontname, fontcolor and fontsize attributes.\n# For details please see <a href=https://graphviz.org/doc/info/attrs.html>Node,\n# Edge and Graph Attributes specification</a> You need to make sure dot is able\n# to find the font, which can be done by putting it in a standard location or by\n# setting the DOTFONTPATH environment variable or by setting DOT_FONTPATH to the\n# directory containing the font. Default graphviz fontsize is 14.\n# The default value is: fontname=Helvetica,fontsize=10.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_COMMON_ATTR        = \"fontname=Helvetica,fontsize=10\"\n\n# DOT_EDGE_ATTR is concatenated with DOT_COMMON_ATTR. For elegant style you can\n# add 'arrowhead=open, arrowtail=open, arrowsize=0.5'. <a\n# href=https://graphviz.org/doc/info/arrows.html>Complete documentation about\n# arrows shapes.</a>\n# The default value is: labelfontname=Helvetica,labelfontsize=10.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_EDGE_ATTR          = \"labelfontname=Helvetica,labelfontsize=10\"\n\n# DOT_NODE_ATTR is concatenated with DOT_COMMON_ATTR. For view without boxes\n# around nodes set 'shape=plain' or 'shape=plaintext' <a\n# href=https://www.graphviz.org/doc/info/shapes.html>Shapes specification</a>\n# The default value is: shape=box,height=0.2,width=0.4.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_NODE_ATTR          = \"shape=box,height=0.2,width=0.4\"\n\n# You can set the path where dot can find font specified with fontname in\n# DOT_COMMON_ATTR and others dot attributes.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_FONTPATH           =\n\n# If the CLASS_GRAPH tag is set to YES or GRAPH or BUILTIN then doxygen will\n# generate a graph for each documented class showing the direct and indirect\n# inheritance relations. In case the CLASS_GRAPH tag is set to YES or GRAPH and\n# HAVE_DOT is enabled as well, then dot will be used to draw the graph. In case\n# the CLASS_GRAPH tag is set to YES and HAVE_DOT is disabled or if the\n# CLASS_GRAPH tag is set to BUILTIN, then the built-in generator will be used.\n# If the CLASS_GRAPH tag is set to TEXT the direct and indirect inheritance\n# relations will be shown as texts / links. Explicit enabling an inheritance\n# graph or choosing a different representation for an inheritance graph of a\n# specific class, can be accomplished by means of the command \\inheritancegraph.\n# Disabling an inheritance graph can be accomplished by means of the command\n# \\hideinheritancegraph.\n# Possible values are: NO, YES, TEXT, GRAPH and BUILTIN.\n# The default value is: YES.\n\nCLASS_GRAPH            = YES\n\n# If the COLLABORATION_GRAPH tag is set to YES then doxygen will generate a\n# graph for each documented class showing the direct and indirect implementation\n# dependencies (inheritance, containment, and class references variables) of the\n# class with other documented classes. Explicit enabling a collaboration graph,\n# when COLLABORATION_GRAPH is set to NO, can be accomplished by means of the\n# command \\collaborationgraph. Disabling a collaboration graph can be\n# accomplished by means of the command \\hidecollaborationgraph.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nCOLLABORATION_GRAPH    = YES\n\n# If the GROUP_GRAPHS tag is set to YES then doxygen will generate a graph for\n# groups, showing the direct groups dependencies. Explicit enabling a group\n# dependency graph, when GROUP_GRAPHS is set to NO, can be accomplished by means\n# of the command \\groupgraph. Disabling a directory graph can be accomplished by\n# means of the command \\hidegroupgraph. See also the chapter Grouping in the\n# manual.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nGROUP_GRAPHS           = YES\n\n# If the UML_LOOK tag is set to YES, doxygen will generate inheritance and\n# collaboration diagrams in a style similar to the OMG's Unified Modeling\n# Language.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nUML_LOOK               = NO\n\n# If the UML_LOOK tag is enabled, the fields and methods are shown inside the\n# class node. If there are many fields or methods and many nodes the graph may\n# become too big to be useful. The UML_LIMIT_NUM_FIELDS threshold limits the\n# number of items for each type to make the size more manageable. Set this to 0\n# for no limit. Note that the threshold may be exceeded by 50% before the limit\n# is enforced. So when you set the threshold to 10, up to 15 fields may appear,\n# but if the number exceeds 15, the total amount of fields shown is limited to\n# 10.\n# Minimum value: 0, maximum value: 100, default value: 10.\n# This tag requires that the tag UML_LOOK is set to YES.\n\nUML_LIMIT_NUM_FIELDS   = 10\n\n# If the DOT_UML_DETAILS tag is set to NO, doxygen will show attributes and\n# methods without types and arguments in the UML graphs. If the DOT_UML_DETAILS\n# tag is set to YES, doxygen will add type and arguments for attributes and\n# methods in the UML graphs. If the DOT_UML_DETAILS tag is set to NONE, doxygen\n# will not generate fields with class member information in the UML graphs. The\n# class diagrams will look similar to the default class diagrams but using UML\n# notation for the relationships.\n# Possible values are: NO, YES and NONE.\n# The default value is: NO.\n# This tag requires that the tag UML_LOOK is set to YES.\n\nDOT_UML_DETAILS        = NO\n\n# The DOT_WRAP_THRESHOLD tag can be used to set the maximum number of characters\n# to display on a single line. If the actual line length exceeds this threshold\n# significantly it will be wrapped across multiple lines. Some heuristics are\n# applied to avoid ugly line breaks.\n# Minimum value: 0, maximum value: 1000, default value: 17.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_WRAP_THRESHOLD     = 17\n\n# If the TEMPLATE_RELATIONS tag is set to YES then the inheritance and\n# collaboration graphs will show the relations between templates and their\n# instances.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nTEMPLATE_RELATIONS     = NO\n\n# If the INCLUDE_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are set to\n# YES then doxygen will generate a graph for each documented file showing the\n# direct and indirect include dependencies of the file with other documented\n# files. Explicit enabling an include graph, when INCLUDE_GRAPH is is set to NO,\n# can be accomplished by means of the command \\includegraph. Disabling an\n# include graph can be accomplished by means of the command \\hideincludegraph.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nINCLUDE_GRAPH          = YES\n\n# If the INCLUDED_BY_GRAPH, ENABLE_PREPROCESSING and SEARCH_INCLUDES tags are\n# set to YES then doxygen will generate a graph for each documented file showing\n# the direct and indirect include dependencies of the file with other documented\n# files. Explicit enabling an included by graph, when INCLUDED_BY_GRAPH is set\n# to NO, can be accomplished by means of the command \\includedbygraph. Disabling\n# an included by graph can be accomplished by means of the command\n# \\hideincludedbygraph.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nINCLUDED_BY_GRAPH      = YES\n\n# If the CALL_GRAPH tag is set to YES then doxygen will generate a call\n# dependency graph for every global function or class method.\n#\n# Note that enabling this option will significantly increase the time of a run.\n# So in most cases it will be better to enable call graphs for selected\n# functions only using the \\callgraph command. Disabling a call graph can be\n# accomplished by means of the command \\hidecallgraph.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nCALL_GRAPH             = NO\n\n# If the CALLER_GRAPH tag is set to YES then doxygen will generate a caller\n# dependency graph for every global function or class method.\n#\n# Note that enabling this option will significantly increase the time of a run.\n# So in most cases it will be better to enable caller graphs for selected\n# functions only using the \\callergraph command. Disabling a caller graph can be\n# accomplished by means of the command \\hidecallergraph.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nCALLER_GRAPH           = NO\n\n# If the GRAPHICAL_HIERARCHY tag is set to YES then doxygen will graphical\n# hierarchy of all classes instead of a textual one.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nGRAPHICAL_HIERARCHY    = YES\n\n# If the DIRECTORY_GRAPH tag is set to YES then doxygen will show the\n# dependencies a directory has on other directories in a graphical way. The\n# dependency relations are determined by the #include relations between the\n# files in the directories. Explicit enabling a directory graph, when\n# DIRECTORY_GRAPH is set to NO, can be accomplished by means of the command\n# \\directorygraph. Disabling a directory graph can be accomplished by means of\n# the command \\hidedirectorygraph.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDIRECTORY_GRAPH        = YES\n\n# The DIR_GRAPH_MAX_DEPTH tag can be used to limit the maximum number of levels\n# of child directories generated in directory dependency graphs by dot.\n# Minimum value: 1, maximum value: 25, default value: 1.\n# This tag requires that the tag DIRECTORY_GRAPH is set to YES.\n\nDIR_GRAPH_MAX_DEPTH    = 1\n\n# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images\n# generated by dot. For an explanation of the image formats see the section\n# output formats in the documentation of the dot tool (Graphviz (see:\n# https://www.graphviz.org/)).\n# Note: If you choose svg you need to set HTML_FILE_EXTENSION to xhtml in order\n# to make the SVG files visible in IE 9+ (other browsers do not have this\n# requirement).\n# Possible values are: png, jpg, gif, svg, png:gd, png:gd:gd, png:cairo,\n# png:cairo:gd, png:cairo:cairo, png:cairo:gdiplus, png:gdiplus and\n# png:gdiplus:gdiplus.\n# The default value is: png.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_IMAGE_FORMAT       = png\n\n# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to\n# enable generation of interactive SVG images that allow zooming and panning.\n#\n# Note that this requires a modern browser other than Internet Explorer. Tested\n# and working are Firefox, Chrome, Safari, and Opera.\n# Note: For IE 9+ you need to set HTML_FILE_EXTENSION to xhtml in order to make\n# the SVG files visible. Older versions of IE do not have SVG support.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nINTERACTIVE_SVG        = NO\n\n# The DOT_PATH tag can be used to specify the path where the dot tool can be\n# found. If left blank, it is assumed the dot tool can be found in the path.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_PATH               =\n\n# The DOTFILE_DIRS tag can be used to specify one or more directories that\n# contain dot files that are included in the documentation (see the \\dotfile\n# command).\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOTFILE_DIRS           =\n\n# You can include diagrams made with dia in doxygen documentation. Doxygen will\n# then run dia to produce the diagram and insert it in the documentation. The\n# DIA_PATH tag allows you to specify the directory where the dia binary resides.\n# If left empty dia is assumed to be found in the default search path.\n\nDIA_PATH               =\n\n# The DIAFILE_DIRS tag can be used to specify one or more directories that\n# contain dia files that are included in the documentation (see the \\diafile\n# command).\n\nDIAFILE_DIRS           =\n\n# When using plantuml, the PLANTUML_JAR_PATH tag should be used to specify the\n# path where java can find the plantuml.jar file or to the filename of jar file\n# to be used. If left blank, it is assumed PlantUML is not used or called during\n# a preprocessing step. Doxygen will generate a warning when it encounters a\n# \\startuml command in this case and will not generate output for the diagram.\n\nPLANTUML_JAR_PATH      =\n\n# When using plantuml, the PLANTUML_CFG_FILE tag can be used to specify a\n# configuration file for plantuml.\n\nPLANTUML_CFG_FILE      =\n\n# When using plantuml, the specified paths are searched for files specified by\n# the !include statement in a plantuml block.\n\nPLANTUML_INCLUDE_PATH  =\n\n# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of nodes\n# that will be shown in the graph. If the number of nodes in a graph becomes\n# larger than this value, doxygen will truncate the graph, which is visualized\n# by representing a node as a red box. Note that if the number of direct\n# children of the root node in a graph is already larger than\n# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note that\n# the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.\n# Minimum value: 0, maximum value: 10000, default value: 50.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_GRAPH_MAX_NODES    = 50\n\n# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the graphs\n# generated by dot. A depth value of 3 means that only nodes reachable from the\n# root by following a path via at most 3 edges will be shown. Nodes that lay\n# further from the root node will be omitted. Note that setting this option to 1\n# or 2 may greatly reduce the computation time needed for large code bases. Also\n# note that the size of a graph can be further restricted by\n# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.\n# Minimum value: 0, maximum value: 1000, default value: 0.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nMAX_DOT_GRAPH_DEPTH    = 0\n\n# Set the DOT_MULTI_TARGETS tag to YES to allow dot to generate multiple output\n# files in one run (i.e. multiple -o and -T options on the command line). This\n# makes dot run faster, but since only newer versions of dot (>1.8.10) support\n# this, this feature is disabled by default.\n# The default value is: NO.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nDOT_MULTI_TARGETS      = NO\n\n# If the GENERATE_LEGEND tag is set to YES doxygen will generate a legend page\n# explaining the meaning of the various boxes and arrows in the dot generated\n# graphs.\n# Note: This tag requires that UML_LOOK isn't set, i.e. the doxygen internal\n# graphical representation for inheritance and collaboration diagrams is used.\n# The default value is: YES.\n# This tag requires that the tag HAVE_DOT is set to YES.\n\nGENERATE_LEGEND        = YES\n\n# If the DOT_CLEANUP tag is set to YES, doxygen will remove the intermediate\n# files that are used to generate the various graphs.\n#\n# Note: This setting is not only used for dot files but also for msc temporary\n# files.\n# The default value is: YES.\n\nDOT_CLEANUP            = YES\n\n# You can define message sequence charts within doxygen comments using the \\msc\n# command. If the MSCGEN_TOOL tag is left empty (the default), then doxygen will\n# use a built-in version of mscgen tool to produce the charts. Alternatively,\n# the MSCGEN_TOOL tag can also specify the name an external tool. For instance,\n# specifying prog as the value, doxygen will call the tool as prog -T\n# <outfile_format> -o <outputfile> <inputfile>. The external tool should support\n# output file formats \"png\", \"eps\", \"svg\", and \"ismap\".\n\nMSCGEN_TOOL            =\n\n# The MSCFILE_DIRS tag can be used to specify one or more directories that\n# contain msc files that are included in the documentation (see the \\mscfile\n# command).\n\nMSCFILE_DIRS           =\n"
  },
  {
    "path": "LICENSE",
    "content": "MIT License\n\nCopyright (c) 2023 Huanghe\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "README.md",
    "content": "<p align='center'>\n<image src=\"logo.svg\">\n</p>\n\n[![PyPI](https://img.shields.io/pypi/v/formatron.svg)](https://pypi.python.org/pypi/formatron)\n![PyPI Downloads](https://static.pepy.tech/badge/formatron)\n\n**[Formatron's technical report](https://arxiv.org/abs/2506.01151) is now available!**\n\nFormatron allows users to control the output format of language models\nwith minimal overhead. It is lightweight, user-friendly,\nand seamlessly integrates into existing codebases and frameworks.\n\n## Installation\n\n`pip install formatron`\n\n## Features\n\n- **🔗 Popular Library Integrations**: Supports transformers, exllamav2, vllm and RWKV.\n- **🔌 Plugins, not wrappers**:\nInstead of wrapping third-party libraries in large, cumbersome classes,\nFormatron offers convenient, clean plugins for different libraries.\n- **💡 Library, not framework**:\nInstead of unifying everything into a bulky framework,\nFormatron is a flexible library that can be embedded anywhere.\n- **✍️ Fluent Formatting**: Describe your format as easily as writing natural language.\n- **📜 Regex and CFG Support**:\nEffortlessly interleave regular expressions and context-free grammars (CFG) in formats.\n- **⚙️ Efficient JSON Generation**: Feature-complete JSON generation based on Pydantic models or json schemas.\n- **📤 Batched Inference**:\nFreely specify different formats for each sequence in one batch!\n- **🚀 Minimal Runtime Overhead**:\nWith Leo optimization, a specialized compacting algorithm,\nand CFG caches across generations, Earley algorithm implemented in Rust is\naymptotically and practically the fastest algorithm.\n- **🔧 Customizable**: Everything is configurable, including schema generation,\ngrammar generation, and post-generation processing (such as function calls).\n\n## Comparison to other libraries\n\n| Capability                                   | Formatron                          | [LM Format Enforcer](https://github.com/noamgat/lm-format-enforcer)                           | [Guidance](https://github.com/guidance-ai/guidance) | [Outlines](https://github.com/outlines-dev/outlines)                                    | [LMQL](https://github.com/eth-sri/lmql)                                                         |\n|:---------------------------------------------|------------------------------------|:----------------------------------------------------------------------------------------------|:----------------------------------------------------|:----------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------|\n| Regular Expressions                          | ✅                                  | ✅                                                                                             | ✅                                                   | ✅                                                                                       | 🟡([preview feature](https://lmql.ai/docs/language/constraints.html#regex-constraints-preview)) |\n| Efficient Regex-constrained Generation       | ✅                                  | 🟡([performance issues still exist](https://github.com/noamgat/lm-format-enforcer/issues/36)) | ❌                                                   | 🟡([scalablity currently suffers](https://github.com/outlines-dev/outlines/issues/680)) | ❌                                                                                               |\n| Context Free Grammars(CFG)                   | ✅                                  | ❌                                                                                             | ✅                                                   | 🟡([some bugs exist](https://github.com/outlines-dev/outlines/issues/959))              | ❌                                                                                               |\n| Efficient CFG-constrained Generation         | ✅                                  | ❌                                                                                             | ❌                                                   | ❌                                                                                       | ❌                                                                                               |\n| Custom Format Extractor                      | 🟡([some limitations exist](#ast)) | ❌                                                                                             | ✅                                                   | ✅                                                                                       | ✅                                                                                               |\n| JSON Schema                                  | ✅([indirectly](#json-schema))      | ✅                                                                                             | ✅                                                   | ✅                                                                                       | ❌                                                                                               |\n| Function Call From Callable                  | ✅                                  | ❌                                                                                             | ✅                                                   | ✅                                                                                       | ✅                                                                                               |\n| Interleave Python control flow in generation | ❌                                  | ❌                                                                                             | ✅                                                   | ❌                                                                                       | ✅                                                                                               |\n| Batched Generation                           | ✅                                  | ✅                                                                                             | ❌                                                   | ✅                                                                                       | ❌                                                                                               |\n| Beam Search                                  | ❌                                  | ✅                                                                                             | ❌                                                   | ✅                                                                                       | ✅                                                                                               |\n| Integrates into existing pipelines           | ✅                                  | ✅                                                                                             | ❌                                                   | 🟡([some integrations crash](https://github.com/outlines-dev/outlines/issues/1115))     | ❌                                                                                               |\n| Optional JSON Fields                         | ✅                                  | ✅                                                                                             | ❌                                                   | ❌                                                                                       | ❌                                                                                               |\n| LLM Controls JSON field whitespaces          | ✅                                  | ✅                                                                                             | ❌                                                   | ✅                                                                                       | ❌                                                                                               |\n| LLM Controls JSON field orderings            | ❌                                  | ✅                                                                                             | ❌                                                   | ❌                                                                                       | ❌                                                                                               |\n| JSON Schema with recursive classes           | ✅                                  | ✅                                                                                             | ❌                                                   | ❌                                                                                       | ❌                                                                                               |\n|Extractive generation(substringOf)           | ✅                                  | ❌                                                                                             | ✅                                                   | ❌                                                                                       | ❌                                                                                               |\n\nFeel free to open up an [issue](https://github.com/Dan-wanna-M/formatron/issues) if something is missing or incorrect!\n\n## Examples\n\n### Regex-constrained Generation\n\n```python\nimport torch\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\ntorch.manual_seed(514)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\ndigit = f.regex('([1-9][0-9]*)', capture_name='digit')\nf.append_line(f\"My favorite integer is {digit}.\")\nf.append_str(f\"I think integer {digit} is also very interesting.\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Which integer is your favourite?<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'digit': [<re.Match object; span=(0, 2), match='42'>, <re.Match object; span=(0, 2), match='42'>]}]\n```\n\nNote that only\n[Rust regex's syntax](https://docs.rs/regex/latest/regex/#syntax) is supported, which notably\ndoes not include arbitrary lookaheads.\n\n### Json Generation\n\n#### Pydantic Model\n\n```python\nimport torch\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nfrom formatron.schemas.dict_inference import infer_mapping\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nschema = infer_mapping({\"name\": \"foo\", \"age\": 28})\nf.append_line(f\"{f.json(schema, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>I am 周明瑞. My age is 24. Extract information from this sentence into json.<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': {'name': '周明瑞', 'age': 34}}]\n```\n\n#### Json Example\n\n```python\nfrom formatron.schemas.pydantic import ClassSchema\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nimport torch\n\nclass Goods(ClassSchema):\n    name: str\n    price: float\n    remaining: int\n\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nschema = Goods\nf.append_line(f\"{f.json(schema, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>We have 14 apples left with each price 14.4$. Extract information from this sentence into json.<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': Goods(name='apples', price=14.4, remaining=14)}]\n```\n\n### Batched Inference\n\n```python\nimport transformers\nfrom transformers import GPT2LMHeadModel\n\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nf = FormatterBuilder()\nf.append_line(f\"Hello, Huggingface!\")\nf3 = FormatterBuilder()\nf3.append_line(\"Hello, Huggingface! Hello, Huggingface!\")\nmodel = GPT2LMHeadModel.from_pretrained(\"openai-community/gpt2\")\ntokenizer = transformers.AutoTokenizer.from_pretrained(\"openai-community/gpt2\",\n                                                       padding_side='left')\ntokenizer.pad_token = tokenizer.eos_token  # Needed for padding\nmodel.generation_config.pad_token_id = tokenizer.pad_token_id\nlogits_processor = create_formatter_logits_processor_list(tokenizer, [f, f, f3])\ninputs = tokenizer([\"I am GPT2. \", \"I am another GPT2. \", \"I am yet another GPT2. \"], return_tensors=\"pt\",\n                   padding=True)\nprint(tokenizer.batch_decode(model.generate(**inputs,\n                                            max_new_tokens=100,\n                                            logits_processor=logits_processor),\n                             skip_special_tokens=True))\n```\n\n### Function Calls\n\n```python\nimport torch\nfrom formatron import schemas\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\n\n@schemas.pydantic.callable_schema\ndef add(a: int, b: int, /, *, c: int):\n    return a + b + c\n\nmodel = AutoModelForCausalLM.from_pretrained(\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"NurtureAI/Meta-Llama-3-8B-Instruct-32k\")\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>a is 1, b is 6 and c is 7. Generate a json containing them.<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nf = FormatterBuilder()\nf.append_line(f\"{f.json(add, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': 14}]\n```\n\n### CFG-Constrained generation\n\nContext free grammars use [kbnf's syntax](https://docs.rs/kbnf/latest/kbnf/#kbnf-grammar) which is a variant of EBNF.\nSince formatron uses [kbnf](https://github.com/Dan-wanna-M/kbnf?tab=readme-ov-file#features) under the hood, all kbnf's claims on performance hold.\n\n```python\nimport torch\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.extractor import NonterminalExtractor\nimport typing\n\nclass ArithmeticExpressionExtractor(NonterminalExtractor):\n    def __init__(self, nonterminal: str, capture_name: typing.Optional[str] = None):\n        super().__init__(nonterminal, capture_name)\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, typing.Any]]:\n        i = 0\n        left_bracket = 0\n        while i < len(input_str):\n            if input_str[i].isdigit() or input_str[i] in \"+-*/.\":\n                i += 1\n                continue\n            if input_str[i] == \"(\":\n                i += 1\n                left_bracket += 1\n                continue\n            if input_str[i] == \")\":\n                i += 1\n                left_bracket -= 1\n                continue\n            else:\n                break\n        if left_bracket != 0:\n            return None\n        return input_str[i:], input_str[:i]\n\n    @property\n    def kbnf_definition(self) -> str:\n        return  \"\"\"\nexpression ::=  term { (\"+\" | \"-\") term };\nterm       ::= factor { (\"*\" | \"/\") factor };\nfactor     ::= number | \"(\" expression \")\";\nnumber     ::= #\"[0-9]+(\\\\\\\\.[0-9]+)?\";\n\"\"\".replace(\"expression\", self.nonterminal)\n\nmodel = AutoModelForCausalLM.from_pretrained(\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"NurtureAI/Meta-Llama-3-8B-Instruct-32k\")\ninputs = tokenizer([\"\"\"<|system|>\n    You are a helpful assistant.<|end|>\n    <|user|>Repeat it: ((32+43)*114)<|end|>\n    <|assistant|>((32+43)*114)<|end|>\n    <|user|>Repeat it: ((32+43)*(114-514))<|end|>\n    <|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nf = FormatterBuilder()\nf.append_line(\n    f\"{f.extractor(lambda nonterminal: ArithmeticExpressionExtractor(nonterminal, 'json'))}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output: [{'json': '(((32+43)*(114-514)))*1.5'}]\n```\n\n### Json Schema\n\nFormatron supports a subset of json schemas that cover most useful features natively.\n\n```python\nfrom formatron.schemas import json_schema\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nimport torch\n\nschema = {\n    \"$id\": \"https://example.com/person.json\",\n    \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"name\": {\n            \"type\": \"string\"\n        },\n        \"age\": {\n            \"type\": \"integer\"\n        }\n    },\n    \"required\": [\"name\", \"age\"]\n}\nschema = json_schema.create_schema(schema)\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nf.append_line(f\"{f.json(schema, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Extract information from this sentence into json: my name is Genov and I am 28 years old.<|end|>\n<|assistant|>```\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': {'name': 'Genov', 'age': 28}}]\n```\n\n### Extractive generation\n\nStarting from `v0.4.7`, extractive generation is supported with suffix automata. This means that you can constrain the output to be a substring of a given input.\n\n```python\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nimport torch\n\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nf.append_line(f\"{f.substr('The quick brown fox jumps over the lazy dog.', capture_name='animal')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>What animal is mentioned in the phrase \"The quick brown fox jumps over the lazy dog\"?<|end|>\n<|assistant|>The animal mentioned in the phrase is the \"\"\"], return_tensors=\"pt\").to(\"cuda\")\noutput = tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor))\nprint(output)\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'animal': 'fox'}]\n```\n\nWhat's more, you can embed fields that need extractive generation into pydantic models or json schemas.\n\n```python\nfrom formatron.schemas.pydantic import ClassSchema\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.schemas.schema import SubstringOf\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nimport torch\nimport typing\nfrom pydantic import Field\n\nclass Person(ClassSchema):\n    name: typing.Annotated[str, Field(..., substring_of=\"Alice Bob Charlie David Eve\"), SubstringOf(\"Alice Bob Charlie David Eve\")]\n    age: int\n\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nf.append_line(f\"{f.json(Person, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Extract information from this sentence into json: Bob is 32 years old.<|end|>\n<|assistant|>```\"\"\"], return_tensors=\"pt\").to(\"cuda\")\nprint(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                            max_new_tokens=100, logits_processor=logits_processor)))\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': {'name': 'Bob', 'age': 32}}]\n```\n\n```python\nfrom formatron.schemas import json_schema\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import AutoModelForCausalLM\nimport transformers\nimport torch\n\nschema = {\n    \"$id\": \"https://example.com/animal.json\",\n    \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n    \"type\": \"object\",\n    \"properties\": {\n        \"animal\": {\n            \"type\": \"string\",\n            \"substring_of\": \"The quick brown fox jumps over the lazy dog.\"\n        }\n    },\n    \"required\": [\"animal\"]\n}\nschema = json_schema.create_schema(schema)\n\ntorch.manual_seed(520)\nmodel = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                device_map=\"cuda\",\n                                                torch_dtype=torch.float16)\ntokenizer = transformers.AutoTokenizer.from_pretrained(\n    \"microsoft/Phi-3-mini-128k-instruct\")\n\nf = FormatterBuilder()\nf.append_line(f\"{f.json(schema, capture_name='json')}\")\nlogits_processor = create_formatter_logits_processor_list(tokenizer, f)\ninputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>What animal is mentioned in the phrase \"The quick brown fox jumps over the lazy dog\"?<|end|>\n<|assistant|>The animal mentioned in the phrase is the \"\"\"], return_tensors=\"pt\").to(\"cuda\")\noutput = tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor))\nprint(output)\nprint(logits_processor[0].formatters_captures)\n# possible output:\n# [{'json': {'animal': 'fox'}}]\n```\n\n### Integrations\n\nCheck out integration examples in the [tests](https://github.com/Dan-wanna-M/formatron/tree/master/tests) directory.\nYou may also want to check the minimum compatible version in [pyproject.toml](https://github.com/Dan-wanna-M/formatron/blob/master/pyproject.toml).\n\n## API Reference\n\nCheck out the API reference [here](https://dan-wanna-m.github.io/formatron/).\n\n## Benchmark\n\nCheck out the benchmark [here](benchmarks/readme.md).\n\n## What Formatron Won't Do\n\n### Implement an End-to-End Inference Pipeline\n\nEvery library related to large language models(LLM) must consider that LLMs\nare rapidly evolving. Many libraries, such as Guidance, Outlines, and LMQL,\naddress this by offering their own end-to-end inference pipelines,\nwhich are constantly updated to incorporate the latest techniques.\n\nFormatron, however, takes a different approach.\nRather than providing a full-fledged inference pipeline,\nFormatron focuses on being modular and easily embeddable into existing\nand future pipelines.\nWhile this may require users to write a bit more code initially,\nit makes maintaining and updating the pipeline painless in the long run.\n\n## What Formatron Can't Do Now\n\n### Support OpenAI or in general API-based LLM solutions\n\nThey don't support efficient logits masking per token, nullifying most benefits\nof constrained decoding.\n\n### Semantic Validation\n\nAlthough constrained decoding can enforce certain formats\nin generated text, they cannot guarantee that the output aligns\nwith the users' intention. In other words, if the model is inadequate\nor the prompt is poorly written, it's possible to generate well-formatted\nbut meaningless output.\n\n### Context-Sensitive Validation\n\nUnfortunately, many formats require context-sensitive validation.\nFor example, two keys in a JSON object must not be equal to each other.\nUnlike CFGs, there is no efficient, generic algorithm to validate\nsuch constraints. However, for a specific format, it is possible to validate\nthem efficiently with a specialized algorithm. In a future release,\nFormatron will support context-sensitive validation for popular formats like JSON.\n\n### Abstract Syntax Tree (AST) Construction<a id='ast'></a>\n\nFormatron uses an Earley recognizer rather than a parser under the hood.\nThis approach allows for more efficient generation and validation\nbut also means that the AST of a given format is not available.\nIn most cases, this is not a problem,\nas it is usually possible to extract the format from the generated string\nusing simple algorithms and then parse it with an existing parser.\nHowever, in some cases, obtaining the AST might be necessary.\nIn a future release, Formatron will support AST construction.\n\n### Process batch logits in parallel\n\nWhile it is *technically possible* to process batch logits in parallel CPU threads\nsince Formatron uses Rust internally, most frameworks sequentially\ncall Formatron's plugin for each logits in a batch. Altering\nthis behaviour requires a breaking change to the frameworks' API or letting\nFormatron take over the control flow. Both options imply\nsubstantial work.\n"
  },
  {
    "path": "benchmarks/address.json",
    "content": "{\n  \"sentences\": [\n    \"I work at 1209 Maple Avenue, Boston, Massachusetts, USA, postal code 02139.\",\n    \"My friend's shop is located at 2312 Pine Street, San Francisco, California, 94115.\",\n    \"The office is at 789 Oak Lane, Los Angeles, California, 90001.\",\n    \"We just moved to 4321 Elm Road, Austin, Texas, 73301.\",\n    \"My school is at 5678 Birch Street, New York, New York, 10001.\",\n    \"The library is at 980 Cedar Avenue, Seattle, Washington, 98101.\",\n    \"Our warehouse is at 312 Spruce Drive, Miami, Florida, 33101.\",\n    \"The café is on 654 Pine Lane, Chicago, Illinois, 60601.\",\n    \"My apartment is at 876 Maple Street, Denver, Colorado, 80201.\",\n    \"The headquarters is at 1122 Cedar Boulevard, Dallas, Texas, 75001.\",\n    \"I used to live at 3456 Walnut Avenue, San Diego, California, 92101.\",\n    \"Their office is at 7890 Ash Street, Portland, Oregon, 97201.\",\n    \"The restaurant is located at 234 Oak Avenue, Atlanta, Georgia, 30301.\",\n    \"We had a meeting at 1234 Birch Boulevard, Philadelphia, Pennsylvania, 19101.\",\n    \"The clinic is at 567 Maple Road, Phoenix, Arizona, 85001.\",\n    \"My favorite bookstore is at 678 Oak Drive, Charlotte, North Carolina, 28201.\",\n    \"The park is near 910 Cedar Lane, Las Vegas, Nevada, 89101.\",\n    \"Our hotel is at 8765 Pine Avenue, Nashville, Tennessee, 37201.\",\n    \"The museum is located at 432 Elm Boulevard, San Antonio, Texas, 78201.\",\n    \"I attended a conference at 6543 Maple Street, Orlando, Florida, 32801.\"\n  ]\n}\n"
  },
  {
    "path": "benchmarks/exllamav2_json.py",
    "content": "from timeit import timeit\nimport formatron.integrations.exllamav2\nfrom exllamav2 import ExLlamaV2, ExLlamaV2Config, ExLlamaV2Cache, ExLlamaV2Tokenizer\nfrom exllamav2.generator.base import ExLlamaV2Filter\nfrom exllamav2.generator import ExLlamaV2DynamicGenerator, ExLlamaV2Sampler\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.exllamav2 import create_formatter_filter\nfrom lmformatenforcer.integrations.exllamav2 import ExLlamaV2TokenEnforcerFilter\nfrom utils import load_address, load_linkedlist, load_orders, force_gc, address_lfe, linked_list_lfe, \\\n    order_lfe\nfrom utils import LinkedList\nfrom utils import Address, BenchResult, Context, log\nfrom utils import Order\n\n\ndef create_exllamav2_6bpw_llama3_8b():\n    model_dir = \"../tests/local_assets/Meta-Llama-3-8B-Instruct-32k/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    return generator\n\n\ndef create_exllamav2_4bpw_llama2_7b():\n    model_dir = \"../tests/local_assets/Mistral-7B-Instruct-v0.3/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    return generator\n\n\ndef f_get_address_filter():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(Address, capture_name='json')}\")\n    exllama_filter = create_formatter_filter(\n        generator.model, generator.tokenizer, f)\n    return exllama_filter\n\n# adapted from https://gist.github.com/floer32/a928b801ca5c7705e94e\ndef bind(instance, func, as_name):\n    \"\"\" Turn a function to a bound method on an instance\n    .. doctest::\n        >>> class Foo(object):\n        ...     def __init__(self, x, y):\n        ...         self.x = x\n        ...         self.y = y\n        >>> foo = Foo(2, 3)\n        >>> my_unbound_method = lambda self: self.x * self.y\n        >>> bind(foo, my_unbound_method, 'multiply')\n        >>> # noinspection PyUnresolvedReferences\n        ... foo.multiply()\n        6\n    :param instance: some object\n    :param func: unbound method (i.e. a function that takes `self` argument, that you now\n        want to be bound to this class as a method)\n    :param as_name: name of the method to create on the object\n    SIDE EFFECTS:\n        - creates the new bound method on this instance, like you asked for\n    \"\"\"\n    setattr(instance, as_name, func.__get__(instance, instance.__class__))\n\ndef monkey_patch_lfe(exllama_filter: ExLlamaV2TokenEnforcerFilter):\n    exllama_filter.background_result = None\n    use_background_worker = lambda self: True\n    bind(exllama_filter, use_background_worker, \"use_background_worker\")\n    bind(exllama_filter, ExLlamaV2Filter.background_next, \"background_next\")\n    bind(exllama_filter, ExLlamaV2Filter.background_drop, \"background_drop\")\n    bind(exllama_filter, ExLlamaV2Filter.get_next, \"get_next\")\n\n\ndef lfe_get_address_filter():\n    exllama_filter = ExLlamaV2TokenEnforcerFilter(\n        address_lfe, generator.tokenizer)\n    monkey_patch_lfe(exllama_filter)\n    return exllama_filter\n\n\ndef f_get_linkedlist_filter():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(LinkedList, capture_name='json')}\")\n    exllama_filter = create_formatter_filter(\n        generator.model, generator.tokenizer, f)\n    return exllama_filter\n\n\ndef lfe_get_linkedlist_filter():\n    exllama_filter = ExLlamaV2TokenEnforcerFilter(\n        linked_list_lfe, generator.tokenizer)\n    monkey_patch_lfe(exllama_filter)\n    return exllama_filter\n\n\ndef f_get_order_filter():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(Order, capture_name='json')}\")\n    exllama_filter = create_formatter_filter(\n        generator.model, generator.tokenizer, f)\n    return exllama_filter\n\n\ndef lfe_get_order_filter():\n    exllama_filter = ExLlamaV2TokenEnforcerFilter(\n        order_lfe, generator.tokenizer)\n    monkey_patch_lfe(exllama_filter)\n    return exllama_filter\n\n\ndef execute():\n    prompt = f\"\"\"{system_prompt}{inputs[context.index]}{tail}\\n\\nHere is the extracted information in JSON format:\\n\\n```\\n\"\"\"\n    output = generator.generate(\n        prompt=prompt,\n        max_new_tokens=max_new_tokens,\n        gen_settings=settings,\n        decode_special_tokens=True,\n        add_bos=False,\n        filters=context.filters,\n        completion_only=True,\n    )\n    # print(repr(output)) # for debug purpose\n    context.index += 1\n    if context.filters:\n        if isinstance(context.filters[0], formatron.integrations.exllamav2.FormatterFilter):\n            context.tokens += len(context.filters[0]._formatter._token_ids)\n        elif isinstance(context.filters[0], ExLlamaV2TokenEnforcerFilter):\n            context.tokens += len(list(filter(lambda x: x != generator.tokenizer.eos_token_id,\n                                              context.filters[0].token_sequence)))+1\n            # Remove all eos_token_id and supposes only one is generated\n            # Currently lm format enforcer forces eos_token_id and does not stop until max_new_token,\n            # which does not really contribute to effective tps.\n        else:\n            raise ValueError(f\"Unsupported filter {type(context.filters[0])}\")\n    else:\n        assert not output.endswith(\n            generator.tokenizer.eos_token), \"Something is wrong\"\n        context.tokens += max_new_tokens\n\n\ndef warm_up(f):\n    f()\n    context.index = 0\n    context.tokens = 0\n\n\ndef bench(result: BenchResult, context: Context, func, bench_name: str, f):\n    global settings\n    context.index = 0\n    context.tokens = 0\n    result.s1 = (timeit(func, setup=lambda: warm_up(func), number=len(inputs)))\n    result.t1 = context.tokens\n    context.index = 0\n    context.tokens = 0\n    context.filters = None\n    settings.disallow_tokens(generator.tokenizer, [\n                             generator.tokenizer.eos_token_id])\n    result.s2 = (timeit(func, number=len(inputs)))\n    result.t2 = context.tokens\n    settings = ExLlamaV2Sampler.Settings()\n    log(bench_name, result, f)\n\n\nif __name__ == '__main__':\n\n    data = BenchResult(0, 0, 0, 0)\n    context = Context(0, 0)\n    with open(\"exllamav2_json.txt\", \"w\") as f:\n        generator = create_exllamav2_6bpw_llama3_8b()\n        settings = ExLlamaV2Sampler.Settings()\n        settings.disallow_tokens(generator.tokenizer, [\n                                 generator.tokenizer.eos_token_id])\n        generator.generate(\"Something\", max_new_tokens=4080,\n                           gen_settings=settings)  # warm up exllamav2 itself\n        system_prompt = \"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n        You are a helpful AI assistant for information extraction<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n        Extract information into json format: \"\"\"\n        tail = \"<|eot_id|><|start_header_id|>assistant<|end_header_id|>```\"\n        settings = ExLlamaV2Sampler.Settings()\n        # --------------------------------------------------------------------------------------------------------------\n        inputs = load_address()\n        context.filters = [f_get_address_filter()]\n        max_new_tokens = 50\n        bench(data, context, execute,\n              \"formatron_llama3_8b_6pw_exl2_address_json_exllamav2\", f)\n        context.filters = [lfe_get_address_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama3_8b_6pw_exl2_address_json_exllamav2\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        context.filters = [f_get_linkedlist_filter()]\n        inputs = load_linkedlist()\n        max_new_tokens = 100\n        bench(data, context, execute,\n              \"formatron_llama3_8b_6pw_exl2_linkedlist_json_exllamav2\", f)\n        context.filters = [lfe_get_linkedlist_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama3_8b_6pw_exl2_linkedlist_json_exllamav2\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        context.filters = [f_get_order_filter()]\n        inputs = load_orders()\n        max_new_tokens = 256\n        bench(data, context, execute,\n              \"formatron_llama3_8b_6pw_exl2_orders_json_exllamav2\", f)\n        context.filters = [lfe_get_order_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama3_8b_6pw_exl2_orders_json_exllamav2\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        del generator\n        force_gc()\n        generator = create_exllamav2_4bpw_llama2_7b()\n        settings = ExLlamaV2Sampler.Settings()\n        settings.disallow_tokens(generator.tokenizer, [\n                                 generator.tokenizer.eos_token_id])\n        generator.generate(\"Something\", max_new_tokens=4080,\n                           gen_settings=settings)  # warm up exllamav2 itself\n        settings = ExLlamaV2Sampler.Settings()\n        system_prompt = \"\"\"[INST]\n                    You are a helpful AI assistant for information extraction.\n\n                    Extract information into json format: \"\"\"\n        tail = \"[/INST]```\"\n        # --------------------------------------------------------------------------------------------------------------\n        inputs = load_address()\n        context.filters = [f_get_address_filter()]\n        max_new_tokens = 100\n        bench(data, context, execute,\n              \"formatron_llama2_7b_4pw_exl2_address_json_exllamav2\", f)\n        context.filters = [lfe_get_address_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama2_7b_4pw_exl2_address_json_exllamav2\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        context.filters = [f_get_linkedlist_filter()]\n        inputs = load_linkedlist()\n        max_new_tokens = 100\n        bench(data, context, execute,\n              \"formatron_llama2_7b_4pw_exl2_linkedlist_json_exllamav2\", f)\n        context.filters = [lfe_get_linkedlist_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama2_7b_4pw_exl2_linkedlist_json_exllamav2\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        context.filters = [f_get_order_filter()]\n        inputs = load_orders()\n        max_new_tokens = 350\n        bench(data, context, execute,\n              \"formatron_llama2_7b_4pw_exl2_orders_json_exllamav2\", f)\n        context.filters = [lfe_get_order_filter()]\n        bench(data, context, execute,\n              \"lm_format_enforcer_llama2_7b_4pw_exl2_orders_json_exllamav2\", f)\n"
  },
  {
    "path": "benchmarks/exllamav2_json.txt",
    "content": "formatron_llama3_8b_6pw_exl2_address_json_exllamav2 generated 855 tokens with 38.76276184385867 tps (with warm up)\nformatron_llama3_8b_6pw_exl2_address_json_exllamav2 unconstrained generated 1000 tokens with 41.086632339598374 tps\nformatron_llama3_8b_6pw_exl2_address_json_exllamav2 overhead per token: 1.46 ms\nlm_format_enforcer_llama3_8b_6pw_exl2_address_json_exllamav2 generated 1000 tokens with 33.16099035835655 tps (with warm up)\nlm_format_enforcer_llama3_8b_6pw_exl2_address_json_exllamav2 unconstrained generated 1000 tokens with 41.07210889418724 tps\nlm_format_enforcer_llama3_8b_6pw_exl2_address_json_exllamav2 overhead per token: 5.81 ms\nformatron_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 generated 1128 tokens with 40.06762061194288 tps (with warm up)\nformatron_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 unconstrained generated 2000 tokens with 41.415778895440035 tps\nformatron_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 overhead per token: 0.81 ms\nlm_format_enforcer_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 generated 1281 tokens with 24.501477144216558 tps (with warm up)\nlm_format_enforcer_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 unconstrained generated 2000 tokens with 41.37581650634218 tps\nlm_format_enforcer_llama3_8b_6pw_exl2_linkedlist_json_exllamav2 overhead per token: 16.65 ms\nformatron_llama3_8b_6pw_exl2_orders_json_exllamav2 generated 4138 tokens with 40.67334215308579 tps (with warm up)\nformatron_llama3_8b_6pw_exl2_orders_json_exllamav2 unconstrained generated 5120 tokens with 41.40981568700948 tps\nformatron_llama3_8b_6pw_exl2_orders_json_exllamav2 overhead per token: 0.44 ms\nlm_format_enforcer_llama3_8b_6pw_exl2_orders_json_exllamav2 generated 4287 tokens with 28.756482474282922 tps (with warm up)\nlm_format_enforcer_llama3_8b_6pw_exl2_orders_json_exllamav2 unconstrained generated 5120 tokens with 41.39495958699177 tps\nlm_format_enforcer_llama3_8b_6pw_exl2_orders_json_exllamav2 overhead per token: 10.62 ms\nformatron_llama2_7b_4pw_exl2_address_json_exllamav2 generated 1298 tokens with 42.390919101830804 tps (with warm up)\nformatron_llama2_7b_4pw_exl2_address_json_exllamav2 unconstrained generated 2000 tokens with 43.774062324736 tps\nformatron_llama2_7b_4pw_exl2_address_json_exllamav2 overhead per token: 0.75 ms\nlm_format_enforcer_llama2_7b_4pw_exl2_address_json_exllamav2 generated 1530 tokens with 33.18348106710488 tps (with warm up)\nlm_format_enforcer_llama2_7b_4pw_exl2_address_json_exllamav2 unconstrained generated 2000 tokens with 43.74905531904784 tps\nlm_format_enforcer_llama2_7b_4pw_exl2_address_json_exllamav2 overhead per token: 7.28 ms\nformatron_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 generated 1355 tokens with 43.02560158100071 tps (with warm up)\nformatron_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 unconstrained generated 2000 tokens with 43.80342136265851 tps\nformatron_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 overhead per token: 0.41 ms\nlm_format_enforcer_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 generated 1573 tokens with 34.495540590441685 tps (with warm up)\nlm_format_enforcer_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 unconstrained generated 2000 tokens with 43.84061400555498 tps\nlm_format_enforcer_llama2_7b_4pw_exl2_linkedlist_json_exllamav2 overhead per token: 6.18 ms\nformatron_llama2_7b_4pw_exl2_orders_json_exllamav2 generated 5572 tokens with 43.55183147398156 tps (with warm up)\nformatron_llama2_7b_4pw_exl2_orders_json_exllamav2 unconstrained generated 7000 tokens with 43.88132546360725 tps\nformatron_llama2_7b_4pw_exl2_orders_json_exllamav2 overhead per token: 0.17 ms\nlm_format_enforcer_llama2_7b_4pw_exl2_orders_json_exllamav2 generated 5798 tokens with 36.30904541546516 tps (with warm up)\nlm_format_enforcer_llama2_7b_4pw_exl2_orders_json_exllamav2 unconstrained generated 7000 tokens with 43.91926290340538 tps\nlm_format_enforcer_llama2_7b_4pw_exl2_orders_json_exllamav2 overhead per token: 4.77 ms\n"
  },
  {
    "path": "benchmarks/linkedlist.json",
    "content": "{\n  \"sentences\": [\n    \"LinkedList: 2->6->8\",\n    \"LinkedList: 5->3->7->1->9\",\n    \"LinkedList: 4->2->9\",\n    \"LinkedList: 7->1->8->3->5\",\n    \"LinkedList: 3->4->6\",\n    \"LinkedList: 9->5->2->8->7->1\",\n    \"LinkedList: 1->7->3\",\n    \"LinkedList: 6->9->1->5\",\n    \"LinkedList: 8->2\",\n    \"LinkedList: 5->1->3->6->4\",\n    \"LinkedList: 4->7->9->2\",\n    \"LinkedList: 3->8->1\",\n    \"LinkedList: 2->4->7->9\",\n    \"LinkedList: 7->5->1->8->6\",\n    \"LinkedList: 6->3->4\",\n    \"LinkedList: 9->2->5->7->3->1\",\n    \"LinkedList: 1->8->6\",\n    \"LinkedList: 5->7->4->2\",\n    \"LinkedList: 3->6->9\",\n    \"LinkedList: 8->4->2->7->5\"\n  ]\n}\n"
  },
  {
    "path": "benchmarks/orders.json",
    "content": "{\n  \"orders\":[\n    \"The order with ID 54321 was placed by Jane Smith, a loyal customer with ID 9876. Jane, who resides at 456 Oak Avenue, Metropolis, and can be reached at 555-6789, has accumulated 200 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 201, variant 1, with a quantity of 1 at a price of $49.99; the second item is a product with ID 202, variant 4, with a quantity of 3 at a price of $10.99 each. The total amount for the order comes to $82.96. The current status of this order is Shipped.\",\n    \"The order with ID 67890 was placed by Robert Brown, a loyal customer with ID 2468. Robert, who resides at 789 Pine Road, Gotham, and can be reached at 555-2468, has accumulated 75 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 301, variant 3, with a quantity of 2 at a price of $25.99 each; the second item is a product with ID 302, variant 6, with a quantity of 1 at a price of $19.99; the third item is a product with ID 303, variant 8, with a quantity of 5 at a price of $5.99 each; the fourth item is a product with ID 304, variant 2, with a quantity of 1 at a price of $35.00. The total amount for the order comes to $159.90. The current status of this order is Delivered.\",\n    \"The order with ID 13579 was placed by Emily Davis, a loyal customer with ID 1357. Emily, who resides at 321 Birch Lane, Star City, and can be reached at 555-1357, has accumulated 120 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 401, variant 4, with a quantity of 3 at a price of $15.99 each; the second item is a product with ID 402, variant 7, with a quantity of 2 at a price of $12.50 each; the third item is a product with ID 403, variant 1, with a quantity of 1 at a price of $20.00. The total amount for the order comes to $97.46. The current status of this order is In Transit.\",\n    \"The order with ID 24680 was placed by Michael Johnson, a loyal customer with ID 3698. Michael, who resides at 654 Cedar Street, Central City, and can be reached at 555-3698, has accumulated 90 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 501, variant 2, with a quantity of 1 at a price of $39.99; the second item is a product with ID 502, variant 9, with a quantity of 4 at a price of $9.99 each. The total amount for the order comes to $79.95. The current status of this order is Processing.\",\n    \"The order with ID 98765 was placed by Sarah White, a loyal customer with ID 1470. Sarah, who resides at 789 Willow Way, Coast City, and can be reached at 555-1470, has accumulated 180 loyalty points and is currently an active customer. The order consists of five items: the first item is a product with ID 601, variant 6, with a quantity of 2 at a price of $19.99 each; the second item is a product with ID 602, variant 3, with a quantity of 1 at a price of $22.50; the third item is a product with ID 603, variant 5, with a quantity of 4 at a price of $7.49 each; the fourth item is a product with ID 604, variant 8, with a quantity of 1 at a price of $50.00; the fifth item is a product with ID 605, variant 2, with a quantity of 2 at a price of $14.99 each. The total amount for the order comes to $181.92. The current status of this order is Delivered.\",\n    \"The order with ID 11223 was placed by James Clark, a loyal customer with ID 2046. James, who resides at 456 Maple Boulevard, Smallville, and can be reached at 555-2046, has accumulated 95 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 701, variant 7, with a quantity of 1 at a price of $29.99; the second item is a product with ID 702, variant 4, with a quantity of 3 at a price of $8.99 each. The total amount for the order comes to $56.96. The current status of this order is Shipped.\",\n    \"The order with ID 33445 was placed by Linda Wilson, a loyal customer with ID 1836. Linda, who resides at 123 Palm Drive, Riverdale, and can be reached at 555-1836, has accumulated 110 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 801, variant 1, with a quantity of 2 at a price of $17.99 each; the second item is a product with ID 802, variant 5, with a quantity of 1 at a price of $14.99; the third item is a product with ID 803, variant 3, with a quantity of 4 at a price of $6.49 each; the fourth item is a product with ID 804, variant 2, with a quantity of 1 at a price of $25.00. The total amount for the order comes to $102.93. The current status of this order is In Transit.\",\n    \"The order with ID 55667 was placed by Steven Miller, a loyal customer with ID 1624. Steven, who resides at 789 Redwood Court, Blüdhaven, and can be reached at 555-1624, has accumulated 130 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 901, variant 8, with a quantity of 3 at a price of $12.99 each; the second item is a product with ID 902, variant 2, with a quantity of 2 at a price of $16.50 each; the third item is a product with ID 903, variant 7, with a quantity of 1 at a price of $19.99. The total amount for the order comes to $91.45. The current status of this order is Processing.\",\n    \"The order with ID 77889 was placed by Patricia Taylor, a loyal customer with ID 1410. Patricia, who resides at 456 Aspen Grove, Fawcett City, and can be reached at 555-1410, has accumulated 140 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 1001, variant 9, with a quantity of 1 at a price of $44.99; the second item is a product with ID 1002, variant 6, with a quantity of 4 at a price of $11.99 each. The total amount for the order comes to $92.95. The current status of this order is Delivered.\",\n    \"The order with ID 99001 was placed by Charles Anderson, a loyal customer with ID 1208. Charles, who resides at 123 Cherry Circle, Keystone City, and can be reached at 555-1208, has accumulated 65 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 1101, variant 5, with a quantity of 2 at a price of $13.99 each; the second item is a product with ID 1102, variant 1, with a quantity of 1 at a price of $18.99; the third item is a product with ID 1103, variant 4, with a quantity of 3 at a price of $9.99 each; the fourth item is a product with ID 1104, variant 7, with a quantity of 2 at a price of $21.00 each. The total amount for the order comes to $136.93. The current status of this order is In Transit.\",\n    \"The order with ID 11223 was placed by Deborah Lee, a loyal customer with ID 2057. Deborah, who resides at 456 Palm Street, Starling City, and can be reached at 555-2057, has accumulated 105 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 1201, variant 6, with a quantity of 1 at a price of $22.99; the second item is a product with ID 1202, variant 3, with a quantity of 2 at a price of $10.50 each; the third item is a product with ID 1203, variant 8, with a quantity of 4 at a price of $8.99 each. The total amount for the order comes to $88.94. The current status of this order is Shipped.\",\n    \"The order with ID 33445 was placed by Kevin Martin, a loyal customer with ID 1867. Kevin, who resides at 789 Oak Circle, Coast City, and can be reached at 555-1867, has accumulated 150 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 1301, variant 2, with a quantity of 3 at a price of $15.99 each; the second item is a product with ID 1302, variant 4, with a quantity of 1 at a price of $28.50. The total amount for the order comes to $76.47. The current status of this order is Delivered.\",\n    \"The order with ID 55667 was placed by Laura Moore, a loyal customer with ID 1679. Laura, who resides at 123 Birch Boulevard, Blüdhaven, and can be reached at 555-1679, has accumulated 95 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 1401, variant 7, with a quantity of 2 at a price of $19.99 each; the second item is a product with ID 1402, variant 9, with a quantity of 3 at a price of $7.50 each; the third item is a product with ID 1403, variant 5, with a quantity of 1 at a price of $24.99; the fourth item is a product with ID 1404, variant 1, with a quantity of 2 at a price of $15.00 each. The total amount for the order comes to $117.97. The current status of this order is In Transit.\",\n    \"The order with ID 77889 was placed by Donald Martinez, a loyal customer with ID 1498. Donald, who resides at 456 Cedar Drive, Riverdale, and can be reached at 555-1498, has accumulated 125 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 1501, variant 8, with a quantity of 1 at a price of $34.99; the second item is a product with ID 1502, variant 2, with a quantity of 4 at a price of $9.99 each; the third item is a product with ID 1503, variant 3, with a quantity of 2 at a price of $14.50 each. The total amount for the order comes to $108.94. The current status of this order is Processing.\",\n    \"The order with ID 99001 was placed by Jessica Hall, a loyal customer with ID 1207. Jessica, who resides at 789 Pine Court, Gotham, and can be reached at 555-1207, has accumulated 135 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 1601, variant 3, with a quantity of 1 at a price of $45.99; the second item is a product with ID 1602, variant 6, with a quantity of 3 at a price of $12.99 each. The total amount for the order comes to $84.96. The current status of this order is Delivered.\",\n    \"The order with ID 11223 was placed by Brian Robinson, a loyal customer with ID 2058. Brian, who resides at 123 Maple Street, Metropolis, and can be reached at 555-2058, has accumulated 85 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 1701, variant 4, with a quantity of 2 at a price of $11.99 each; the second item is a product with ID 1702, variant 7, with a quantity of 1 at a price of $32.50; the third item is a product with ID 1703, variant 1, with a quantity of 3 at a price of $9.49 each; the fourth item is a product with ID 1704, variant 8, with a quantity of 2 at a price of $14.99 each. The total amount for the order comes to $123.43. The current status of this order is Shipped.\",\n    \"The order with ID 33445 was placed by Kimberly Garcia, a loyal customer with ID 1870. Kimberly, who resides at 456 Oak Avenue, Star City, and can be reached at 555-1870, has accumulated 160 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 1801, variant 9, with a quantity of 1 at a price of $27.99; the second item is a product with ID 1802, variant 6, with a quantity of 2 at a price of $18.50 each; the third item is a product with ID 1803, variant 4, with a quantity of 4 at a price of $8.99 each. The total amount for the order comes to $100.45. The current status of this order is In Transit.\",\n    \"The order with ID 55667 was placed by Kenneth Harris, a loyal customer with ID 1680. Kenneth, who resides at 789 Palm Way, Central City, and can be reached at 555-1680, has accumulated 115 loyalty points and is currently an active customer. The order consists of two items: the first item is a product with ID 1901, variant 2, with a quantity of 3 at a price of $14.99 each; the second item is a product with ID 1902, variant 8, with a quantity of 1 at a price of $29.50. The total amount for the order comes to $74.47. The current status of this order is Delivered.\",\n    \"The order with ID 77889 was placed by Lisa Clark, a loyal customer with ID 1509. Lisa, who resides at 123 Pine Avenue, Smallville, and can be reached at 555-1509, has accumulated 140 loyalty points and is currently an active customer. The order consists of three items: the first item is a product with ID 2001, variant 3, with a quantity of 1 at a price of $19.99; the second item is a product with ID 2002, variant 5, with a quantity of 4 at a price of $8.99 each; the third item is a product with ID 2003, variant 7, with a quantity of 2 at a price of $12.50 each. The total amount for the order comes to $84.94. The current status of this order is Processing.\",\n    \"The order with ID 99001 was placed by Daniel King, a loyal customer with ID 1219. Daniel, who resides at 789 Cedar Lane, Keystone City, and can be reached at 555-1219, has accumulated 165 loyalty points and is currently an active customer. The order consists of four items: the first item is a product with ID 2101, variant 4, with a quantity of 2 at a price of $11.99 each; the second item is a product with ID 2102, variant 9, with a quantity of 1 at a price of $37.50; the third item is a product with ID 2103, variant 1, with a quantity of 3 at a price of $9.99 each; the fourth item is a product with ID 2104, variant 8, with a quantity of 2 at a price of $14.50 each. The total amount for the order comes to $131.93. The current status of this order is Shipped.\"\n  ]\n}"
  },
  {
    "path": "benchmarks/readme.md",
    "content": "# Benchmark\n\nMore benchmarks will be added in the\nnear future.\n\n## Benchmark Setting\n\nCPU: AMD EPYC 7513 32-Core Processor\n\nGPU: NVIDIA RTX A5000\n\n## Schemas\n\nTo summarize, `address` is a plain JSON schema, `linkedlist` is recursive,\nand `order` is a JSON schema that includes other nested schemas.\nYou can find their definitions in `utils.py`.\n\n## Why warm up?\n\n`formatron` uses lazy caching,\nso the first run is typically about 15% slower than subsequent runs.\nPerforming a warm-up run allows us to better measure latency under realistic workloads,\nwhere a few schemas are created but many requests are made.\n\nWe also plan to add the \"first-run\" benchmark, which will measure the time taken from\nschema creation to the first run ends.\n\n## Other libraries' version\n\n```txt\nkbnf==0.3.10\nlm-format-enforcer==0.10.6\noutlines==0.0.46\nvllm==0.6.0\nexllamav2==0.2.1\ntransformers==4.43.2\n```\n\n## vllm\n\nDefault vllm setting are used. Outlines's whitespace pattern is aligned to lm-format-enforcer's and formatron's.\n\n| model           | schema          | Formatron overhead per token(with warm-up) / ms | lm format enforcer overhead(with warm-up) per token / ms | outlines overhead(with warm-up) per token / ms |\n|-----------------|-----------------|-------------------------------------------------|----------------------------------------------------------|------------------------------------------------|\n| Llama3-8B(bf16) | address_json    | 0.10                                            | 1.84                                                     | 0.17                                          |\n| Llama3-8B(bf16) | linkedlist_json | 0.10                                            | 0.28                                                     | N/A                                            |\n| Llama3-8B(bf16) | order_json      | 0.06                                            | 0.61                                                     | 0.10                                           |\n| Llama2-7B(fp16) | address_json    | 0.13                                            | 0.47                                                     | 0.13                                           |\n| Llama2-7B(fp16) | linkedlist_json | 0.23                                            | 0.51                                                     | N/A                                            |\n| Llama2-7B(fp16) | order_json      | 0.00                                            | 0.46                                                     | 0.03                                           |\n\n## Exllamav2\n\nDefault exllamav2 setting are used.\n\nNote that the current `lm-format-enforcer` integration on `exllamav2` is [bugged](https://github.com/noamgat/lm-format-enforcer/issues/134),\ncrippling its performance significantly. Also, `outlines` exllamav2 integration [has not been merged yet](https://github.com/outlines-dev/outlines/issues/1009).\n\n| model           | schema          | Formatron overhead per token(with warm-up) / ms | lm format enforcer overhead(with warm-up) per token / ms | outlines overhead(with warm-up) per token / ms |\n|-----------------|-----------------|-------------------------------------------------|----------------------------------------------------------|:-----------------------------------------------|\n| Llama3-8B(bf16) | address_json    | 1.46                                            | 5.81                                                     | N/A                                            |\n| Llama3-8B(bf16) | linkedlist_json | 0.81                                            | 16.65                                                     | N/A                                            |\n| Llama3-8B(bf16) | order_json      | 0.44                                            | 10.62                                                     | N/A                                            |\n| Llama2-7B(fp16) | address_json    | 0.75                                            | 7.28                                                     | N/A                                            |\n| Llama2-7B(fp16) | linkedlist_json | 0.41                                            | 6.18                                                      | N/A                                            |\n| Llama2-7B(fp16) | order_json      | 0.17                                            | 4.77                                                     | N/A                                            |\n\n## Transformers\n\nDefault transformers setting with flash attention v2 enabled.\n\nNote that `outlines` logits processor huggingface integration in the latest published version(`0.0.46`) [does not work](https://github.com/outlines-dev/outlines/issues/1115) and their wrapper over huggingface does not provide a way to measure token per second. Their own benchmark only measures the total time taken.\n\n| model           | schema          | Formatron overhead per token(with warm-up) / ms | lm format enforcer overhead(with warm-up) per token / ms | outlines overhead(with warm-up) per token / ms |\n|-----------------|-----------------|-------------------------------------------------|----------------------------------------------------------|------------------------------------------------|\n| Llama3-8B(bf16) | address_json    | 0.30                                            | 10.14                                                      | N/A                                            |\n| Llama3-8B(bf16) | linkedlist_json | 0.32                                            | 3.65                                                      | N/A                                            |\n| Llama3-8B(bf16) | order_json      | 0.29                                            | 6.31                                                      | N/A                                            |\n| Llama2-7B(fp16) | address_json    | 0.40                                            | 2.41                                                      | N/A                                            |\n| Llama2-7B(fp16) | linkedlist_json | 0.44                                            | 0.77                                                     | N/A                                            |\n| Llama2-7B(fp16) | order_json      | 0.43                                            | 1.22                                                     | N/A                                            |\n"
  },
  {
    "path": "benchmarks/transformers_json.py",
    "content": "from utils import Order\nfrom utils import BenchResult, Context, Address, log\nfrom utils import LinkedList\nfrom formatron.integrations.transformers import create_formatter_logits_processor_list, FormattersLogitsProcessor\nfrom utils import load_address, load_linkedlist, load_orders, address_lfe, linked_list_lfe, order_lfe\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\nfrom lmformatenforcer.integrations.transformers import build_transformers_prefix_allowed_tokens_fn\nfrom formatron.formatter import FormatterBuilder\nimport torch\nfrom timeit import timeit\nimport gc\nimport os\nos.environ[\"CUDA_VISIBLE_DEVICES\"] = \"6\"\n\n\ndef get_llama3_8b_tokenizer_and_model():\n    model = AutoModelForCausalLM.from_pretrained(\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.bfloat16,\n                                                 attn_implementation=\"flash_attention_2\")\n    tokenizer = AutoTokenizer.from_pretrained(\n        \"NurtureAI/Meta-Llama-3-8B-Instruct-32k\")\n    model.generation_config.pad_token_id = tokenizer.eos_token_id\n    return model, tokenizer\n\n\ndef get_llama2_7b_tokenizer_and_model():\n    model = AutoModelForCausalLM.from_pretrained(\"mistralai/Mistral-7B-Instruct-v0.3\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16,\n                                                 attn_implementation=\"flash_attention_2\")\n    tokenizer = AutoTokenizer.from_pretrained(\n        \"mistralai/Mistral-7B-Instruct-v0.3\")\n    model.generation_config.pad_token_id = tokenizer.eos_token_id\n    return model, tokenizer\n\n\ndef get_address_schema():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(Address, capture_name='json')}\")\n    return create_formatter_logits_processor_list(tokenizer, f)\n\n\ndef lfe_address_prefix():\n    return build_transformers_prefix_allowed_tokens_fn(tokenizer, address_lfe)\n\n\ndef get_linkedlist_schema():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(LinkedList, capture_name='json')}\")\n    return create_formatter_logits_processor_list(tokenizer, f)\n\n\ndef lfe_linkedlist_prefix():\n    return build_transformers_prefix_allowed_tokens_fn(tokenizer, linked_list_lfe)\n\n\ndef get_order_schema():\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(Order, capture_name='json')}\")\n    return create_formatter_logits_processor_list(tokenizer, f)\n\n\ndef lfe_order_prefix():\n    return build_transformers_prefix_allowed_tokens_fn(tokenizer, order_lfe)\n\n\ndef execute():\n    prompts = [\n        f\"{system_prompt}{inputs[context.index]}{tail}\",\n    ]\n    prompts = tokenizer(prompts, return_tensors='pt').to(model.device)\n    input_len = prompts.input_ids.shape[-1]\n    context.index += 1\n    if logits_processor is not None:\n        outputs = model.generate(**prompts, logits_processor=logits_processor,\n                                 max_new_tokens=max_new_tokens, temperature=1, top_p=0.5, do_sample=True)\n    else:\n        outputs = model.generate(**prompts, prefix_allowed_tokens_fn=prefix_fn,\n                                 max_new_tokens=max_new_tokens, temperature=1, top_p=0.5, do_sample=True)\n    # print(repr(tokenizer.decode(outputs[0][input_len:], skip_special_tokens=False))) # for debug purpose\n    context.tokens += outputs.shape[-1]-input_len\n    if logits_processor and isinstance(logits_processor[0], FormattersLogitsProcessor):\n        logits_processor[0].reset()\n\n\ndef warm_up(f):\n    f()\n    context.index = 0\n    context.tokens = 0\n\n\ndef bench(result: BenchResult, context: Context, func, bench_name: str, f):\n    context.index = 0\n    context.tokens = 0\n    result.s1 = (timeit(func, setup=lambda: warm_up(func), number=len(inputs)))\n    result.t1 = context.tokens\n    context.index = 0\n    context.tokens = 0\n    if logits_processor is not None:\n        logits_processor.clear()\n    else:\n        global prefix_fn\n        prefix_fn = None\n    result.s2 = (timeit(func, number=len(inputs)))\n    result.t2 = context.tokens\n    log(bench_name, result, f)\n\n\nif __name__ == \"__main__\":\n    data = BenchResult(0, 0, 0, 0)\n    context = Context(0, 0)\n    with open(\"transformers_json.txt\", \"w\") as f:\n        with torch.no_grad():\n            system_prompt = \"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n            You are a helpful AI assistant for information extraction.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n            Extract information into json format: \"\"\"\n            tail = \"<|eot_id|><|start_header_id|>assistant<|end_header_id|>\"\n            model, tokenizer = get_llama3_8b_tokenizer_and_model()\n            model.eval()\n            # ----------------------------------------------------------------------------------------------------------\n            max_new_tokens = 50\n            inputs = load_address()\n            prefix_fn = None\n            logits_processor = None\n            logits_processor = get_address_schema()\n            bench(data, context, execute, \"formatron_llama3_8b_address_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_address_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama3_8b_address_json\", f)\n            # ----------------------------------------------------------------------------------------------------------\n            max_new_tokens = 100\n            inputs = load_linkedlist()\n            logits_processor = get_linkedlist_schema()\n            bench(data, context, execute,\n                  \"formatron_llama3_8b_linkedlist_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_linkedlist_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama3_8b_linkedlist_json\", f)\n            max_new_tokens = 256\n            # ----------------------------------------------------------------------------------------------------------\n            inputs = load_orders()\n            logits_processor = get_order_schema()\n            bench(data, context, execute, \"formatron_llama3_8b_order_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_order_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama3_8b_order_json\", f)\n            # ----------------------------------------------------------------------------------------------------------\n            system_prompt = \"\"\"[INST]\n                        You are a helpful AI assistant for information extraction.\n\n                        Extract information into json format: \"\"\"\n            tail = \"[/INST]\"\n            del model\n            del tokenizer\n            gc.collect()\n            torch.cuda.empty_cache()\n            model, tokenizer = get_llama2_7b_tokenizer_and_model()\n            model.eval()\n            # ----------------------------------------------------------------------------------------------------------\n            max_new_tokens = 100\n            inputs = load_address()\n            logits_processor = get_address_schema()\n            bench(data, context, execute, \"formatron_llama2_7b_address_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_address_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama2_7b_address_json\", f)\n            # ----------------------------------------------------------------------------------------------------------\n            max_new_tokens = 100\n            inputs = load_linkedlist()\n            logits_processor = get_linkedlist_schema()\n\n            bench(data, context, execute,\n                  \"formatron_llama2_7b_linkedlist_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_linkedlist_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama2_7b_linkedlist_json\", f)\n            # ----------------------------------------------------------------------------------------------------------\n            inputs = load_orders()\n            logits_processor = get_order_schema()\n            max_new_tokens = 350\n            bench(data, context, execute, \"formatron_llama2_7b_order_json\", f)\n            logits_processor = None\n            prefix_fn = lfe_order_prefix()\n            bench(data, context, execute,\n                  \"lm_format_enforcer_llama2_7b_order_json\", f)\n"
  },
  {
    "path": "benchmarks/transformers_json.txt",
    "content": "formatron_llama3_8b_address_json generated 790 tokens with 37.33737251647424 tps (with warm up)\nformatron_llama3_8b_address_json unconstrained generated 1000 tokens with 37.76062492759587 tps\nformatron_llama3_8b_address_json overhead per token: 0.30 ms\nlm_format_enforcer_llama3_8b_address_json generated 884 tokens with 27.235022087851295 tps (with warm up)\nlm_format_enforcer_llama3_8b_address_json unconstrained generated 1000 tokens with 37.618860976908174 tps\nlm_format_enforcer_llama3_8b_address_json overhead per token: 10.14 ms\nformatron_llama3_8b_linkedlist_json generated 1018 tokens with 37.192478529313824 tps (with warm up)\nformatron_llama3_8b_linkedlist_json unconstrained generated 1374 tokens with 37.633413583290384 tps\nformatron_llama3_8b_linkedlist_json overhead per token: 0.32 ms\nlm_format_enforcer_llama3_8b_linkedlist_json generated 1077 tokens with 33.102983699309775 tps (with warm up)\nlm_format_enforcer_llama3_8b_linkedlist_json unconstrained generated 1250 tokens with 37.65158457209058 tps\nlm_format_enforcer_llama3_8b_linkedlist_json overhead per token: 3.65 ms\nformatron_llama3_8b_order_json generated 3680 tokens with 36.74559223680445 tps (with warm up)\nformatron_llama3_8b_order_json unconstrained generated 4550 tokens with 37.14640165998921 tps\nformatron_llama3_8b_order_json overhead per token: 0.29 ms\nlm_format_enforcer_llama3_8b_order_json generated 3742 tokens with 30.108506350742918 tps (with warm up)\nlm_format_enforcer_llama3_8b_order_json unconstrained generated 4545 tokens with 37.168881808792015 tps\nlm_format_enforcer_llama3_8b_order_json overhead per token: 6.31 ms\nformatron_llama2_7b_address_json generated 1054 tokens with 32.20791752940351 tps (with warm up)\nformatron_llama2_7b_address_json unconstrained generated 1539 tokens with 32.624324684374265 tps\nformatron_llama2_7b_address_json overhead per token: 0.40 ms\nlm_format_enforcer_llama2_7b_address_json generated 1276 tokens with 30.20429413070825 tps (with warm up)\nlm_format_enforcer_llama2_7b_address_json unconstrained generated 1530 tokens with 32.57663555157144 tps\nlm_format_enforcer_llama2_7b_address_json overhead per token: 2.41 ms\nformatron_llama2_7b_linkedlist_json generated 1019 tokens with 32.10045241717828 tps (with warm up)\nformatron_llama2_7b_linkedlist_json unconstrained generated 1660 tokens with 32.56219686821237 tps\nformatron_llama2_7b_linkedlist_json overhead per token: 0.44 ms\nlm_format_enforcer_llama2_7b_linkedlist_json generated 1446 tokens with 31.73119513820603 tps (with warm up)\nlm_format_enforcer_llama2_7b_linkedlist_json unconstrained generated 1660 tokens with 32.523307951311786 tps\nlm_format_enforcer_llama2_7b_linkedlist_json overhead per token: 0.77 ms\nformatron_llama2_7b_order_json generated 4918 tokens with 31.806229418146252 tps (with warm up)\nformatron_llama2_7b_order_json unconstrained generated 5843 tokens with 32.24968206213462 tps\nformatron_llama2_7b_order_json overhead per token: 0.43 ms\nlm_format_enforcer_llama2_7b_order_json generated 5577 tokens with 31.000471952732312 tps (with warm up)\nlm_format_enforcer_llama2_7b_order_json unconstrained generated 5843 tokens with 32.21721284594868 tps\nlm_format_enforcer_llama2_7b_order_json overhead per token: 1.22 ms\n"
  },
  {
    "path": "benchmarks/utils.py",
    "content": "import gc\nimport json\nfrom dataclasses import dataclass\nfrom typing import Optional\n\nimport torch\nfrom formatron.schemas.pydantic import ClassSchema\nfrom lmformatenforcer import JsonSchemaParser\n\n\nclass Address(ClassSchema):\n    street: str\n    city: str\n    state: Optional[str] = None\n    postal_code: str\n    country: str\n\naddress_lfe = JsonSchemaParser(Address.model_json_schema())\n\nclass LinkedList(ClassSchema):\n    value: int\n    next: Optional[\"LinkedList\"]\n\nlinked_list_lfe = JsonSchemaParser(LinkedList.model_json_schema())\n\nclass OrderItem(ClassSchema):\n    product_id: int\n    variant_id: int\n    quantity: int\n    price: float\n\nclass Customer(ClassSchema):\n    id: int\n    name: str\n    phone: str\n    address: str\n    loyalty_points: int = 0\n    is_active: bool = True\n\nclass Order(ClassSchema):\n    id: int\n    customer: Customer\n    items: list[OrderItem]\n    total_amount: float\n    status: str\n\norder_lfe = JsonSchemaParser(Order.model_json_schema())\n\n@dataclass\nclass BenchResult:\n    t1:int\n    s1:float\n    t2:int\n    s2:float\n\n@dataclass\nclass Context:\n    index:int\n    tokens:int\n\ndef log(func_name:str, data:BenchResult,f):\n    a = f\"{func_name} generated {data.t1} tokens with {data.t1 / data.s1} tps (with warm up)\\n\"\n    b = (f\"{func_name} unconstrained generated {data.t2} tokens with\"\n          f\" {data.t2 / data.s2} tps\\n\")\n    c = f\"{func_name} overhead per token: {((data.s1 / data.t1) - (data.s2 / data.t2)) * 1000:.2f} ms\\n\"\n    print(a)\n    print(b)\n    print(c)\n    f.writelines([a,b,c])\n\n\ndef load_address()->list[str]:\n    return json.load(open(\"address.json\"))[\"sentences\"]\n\ndef load_linkedlist()->list[str]:\n    return json.load(open(\"linkedlist.json\"))[\"sentences\"]\n\ndef load_orders()->list[str]:\n    return json.load(open(\"orders.json\"))[\"orders\"]\n\ndef force_gc():\n    torch.cuda.empty_cache()\n    gc.collect()"
  },
  {
    "path": "benchmarks/vllm_json.py",
    "content": "import gc\nimport time\nfrom timeit import timeit\nimport torch\nfrom lmformatenforcer.integrations.vllm import build_vllm_logits_processor\nfrom vllm import LLM, SamplingParams\nfrom vllm.distributed import destroy_model_parallel, destroy_distributed_environment\n\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.vllm import create_formatters_logits_processor, FormattersLogitsProcessor\nfrom utils import Address\nfrom utils import BenchResult, Context\nfrom utils import LinkedList\nfrom utils import Order, log\nfrom utils import address_lfe, linked_list_lfe, order_lfe\nfrom utils import load_address, load_linkedlist, load_orders\nfrom outlines.integrations.vllm import JSONLogitsProcessor\n\n\ndef execute():\n    prompts = [\n        f\"{system_prompt}{inputs[context.index]}{tail}\",\n    ]\n    context.index += 1\n    outputs = llm.generate(prompts, sampling_params)\n    context.tokens += len(outputs[0].outputs[0].token_ids)\n    # print(repr(outputs[0].outputs[0].text))\n    logits_processor = sampling_params.logits_processors\n    if logits_processor and isinstance(logits_processor[0], FormattersLogitsProcessor):\n        # print(logits_processor[0]._formatters[0]._token_ids)\n        logits_processor[0].reset()\n\n\n\ndef formatron_vllm_address():\n    f = FormatterBuilder()\n    f.append_str(f\"{f.json(Address, capture_name='json')}\")\n    logits_processor = create_formatters_logits_processor(llm, [f])\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=100, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef lfe_vllm_address():\n    logits_processor = build_vllm_logits_processor(llm, address_lfe)\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=100, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef outlines_address():\n    logits_processor = JSONLogitsProcessor(Address, llm, whitespace_pattern=r\"[ \\t\\n\\r]*\")\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=100, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef formatron_vllm_linkedlist():\n    f = FormatterBuilder()\n    f.append_str(\n        f\"{f.json(LinkedList, capture_name='json')}\")\n    logits_processor = create_formatters_logits_processor(llm, [f])\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=100, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef lfe_vllm_linkedlist():\n    logits_processor = build_vllm_logits_processor(llm, linked_list_lfe)\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=100, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef formatron_vllm_order():\n    f = FormatterBuilder()\n    f.append_str(f\"{f.json(Order, capture_name='json')}\")\n    logits_processor = create_formatters_logits_processor(llm, [f])\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=350, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef lfe_vllm_order():\n    logits_processor = build_vllm_logits_processor(llm, order_lfe)\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=350, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef outlines_order():\n    logits_processor = JSONLogitsProcessor(Order, llm, whitespace_pattern=r\"[ \\t\\n\\r]*\")\n    sampling_params = SamplingParams(\n        temperature=1, top_p=0.5, max_tokens=350, logits_processors=[logits_processor])\n    return sampling_params\n\n\ndef warm_up(f):\n    f()\n    context.index = 0\n    context.tokens = 0\n\n\ndef bench(result: BenchResult, context: Context, func, bench_name: str, f):\n    context.index = 0\n    context.tokens = 0\n    result.s1 = (timeit(func, setup=lambda: warm_up(func), number=len(inputs)))\n    result.t1 = context.tokens\n    context.index = 0\n    context.tokens = 0\n    sampling_params.logits_processors = []\n    result.s2 = (timeit(func, number=len(inputs)))\n    result.t2 = context.tokens\n    log(bench_name, result, f)\n\n\nif __name__ == \"__main__\":\n    data = BenchResult(0, 0, 0, 0)\n    context = Context(0, 0)\n    with open(\"vllm_json_bench.txt\", \"w\") as f:\n        system_prompt = \"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n                You are a helpful AI assistant for information extraction.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n                Extract information into json format: \"\"\"\n        tail = \"<|eot_id|><|start_header_id|>assistant<|end_header_id|>```\\n\"\n        llm = LLM(model=\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                  max_model_len=4096)\n        # --------------------------------------------------------------------------------------------------------------\n        inputs = load_address()\n        sampling_params = formatron_vllm_address()\n        bench(data, context, execute, \"formatron_llama3_8b_address\", f)\n        sampling_params = lfe_vllm_address()\n        bench(data, context, execute, \"lm_format_enforcer_llama3_8b_address\", f)\n        sampling_params = outlines_address()\n        bench(data, context, execute, \"outlines_llama3_8b_address\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        sampling_params = formatron_vllm_linkedlist()\n        inputs = load_linkedlist()\n        bench(data, context, execute, \"formatron_llama3_8b_linkedlist\", f)\n        sampling_params = lfe_vllm_linkedlist()\n        bench(data, context, execute, \"lm_format_enforcer_llama3_8b_linkedlist\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        sampling_params = formatron_vllm_order()\n        inputs = load_orders()\n        bench(data, context, execute, \"formatron_llama3_8b_orders\", f)\n        sampling_params = lfe_vllm_order()\n        bench(data, context, execute, \"lm_format_enforcer_llama3_8b_order\", f)\n        sampling_params = outlines_order()\n        bench(data, context, execute, \"outlines_llama3_8b_order\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        destroy_model_parallel()\n        destroy_distributed_environment()\n        del llm.llm_engine.model_executor\n        del llm\n        gc.collect()\n        torch.cuda.empty_cache()\n        system_prompt = \"\"\"[INST]\n            You are a helpful AI assistant for information extraction.\n\n            Extract information into json format: \"\"\"\n        tail = \"[/INST]```\\n\"\n        llm = LLM(model=\"mistralai/Mistral-7B-Instruct-v0.3\",\n                  max_model_len=4096)\n        # --------------------------------------------------------------------------------------------------------------\n        inputs = load_address()\n        sampling_params = formatron_vllm_address()\n        bench(data, context, execute, \"formatron_llama2_7b_address\", f)\n        sampling_params = lfe_vllm_address()\n        bench(data, context, execute, \"lm_format_enforcer_llama2_7b_address\", f)\n        sampling_params = outlines_address()\n        bench(data, context, execute, \"outlines_llama2_7b_address\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        sampling_params = formatron_vllm_linkedlist()\n        inputs = load_linkedlist()\n        bench(data, context, execute, \"formatron_llama2_7b_linkedlist\", f)\n        sampling_params = lfe_vllm_linkedlist()\n        bench(data, context, execute, \"lm_format_enforcer_llama2_7b_linkedlist\", f)\n        # --------------------------------------------------------------------------------------------------------------\n        sampling_params = formatron_vllm_order()\n        inputs = load_orders()\n        bench(data, context, execute, \"formatron_llama2_7b_orders\", f)\n        sampling_params = lfe_vllm_order()\n        bench(data, context, execute, \"lm_format_enforcer_llama2_7b_orders\", f)\n        sampling_params = outlines_order()\n        bench(data, context, execute, \"outlines_llama2_7b_order\", f)\n"
  },
  {
    "path": "benchmarks/vllm_json_bench.txt",
    "content": "formatron_llama3_8b_address generated 882 tokens with 41.58014233027746 tps (with warm up)\nformatron_llama3_8b_address unconstrained generated 1097 tokens with 41.74960697160017 tps\nformatron_llama3_8b_address overhead per token: 0.10 ms\nlm_format_enforcer_llama3_8b_address generated 1013 tokens with 38.49706294372843 tps (with warm up)\nlm_format_enforcer_llama3_8b_address unconstrained generated 1075 tokens with 41.44015671874397 tps\nlm_format_enforcer_llama3_8b_address overhead per token: 1.84 ms\noutlines_llama3_8b_address generated 880 tokens with 41.378356665631905 tps (with warm up)\noutlines_llama3_8b_address unconstrained generated 1093 tokens with 41.6702585051756 tps\noutlines_llama3_8b_address overhead per token: 0.17 ms\nformatron_llama3_8b_linkedlist generated 1142 tokens with 41.69605457908301 tps (with warm up)\nformatron_llama3_8b_linkedlist unconstrained generated 1421 tokens with 41.8637550084712 tps\nformatron_llama3_8b_linkedlist overhead per token: 0.10 ms\nlm_format_enforcer_llama3_8b_linkedlist generated 1291 tokens with 41.28170456718716 tps (with warm up)\nlm_format_enforcer_llama3_8b_linkedlist unconstrained generated 1490 tokens with 41.76622949016146 tps\nlm_format_enforcer_llama3_8b_linkedlist overhead per token: 0.28 ms\nformatron_llama3_8b_orders generated 4181 tokens with 41.74771088662727 tps (with warm up)\nformatron_llama3_8b_orders unconstrained generated 4619 tokens with 41.84846842260856 tps\nformatron_llama3_8b_orders overhead per token: 0.06 ms\nlm_format_enforcer_llama3_8b_order generated 4326 tokens with 40.65240655882235 tps (with warm up)\nlm_format_enforcer_llama3_8b_order unconstrained generated 4625 tokens with 41.68949023473975 tps\nlm_format_enforcer_llama3_8b_order overhead per token: 0.61 ms\noutlines_llama3_8b_order generated 4181 tokens with 41.61058913358467 tps (with warm up)\noutlines_llama3_8b_order unconstrained generated 4619 tokens with 41.790567194192455 tps\noutlines_llama3_8b_order overhead per token: 0.10 ms\nformatron_llama2_7b_address generated 1138 tokens with 43.89089628540627 tps (with warm up)\nformatron_llama2_7b_address unconstrained generated 1714 tokens with 44.13610984720788 tps\nformatron_llama2_7b_address overhead per token: 0.13 ms\nlm_format_enforcer_llama2_7b_address generated 1488 tokens with 43.165820074106584 tps (with warm up)\nlm_format_enforcer_llama2_7b_address unconstrained generated 1720 tokens with 44.061810816802385 tps\nlm_format_enforcer_llama2_7b_address overhead per token: 0.47 ms\noutlines_llama2_7b_address generated 1249 tokens with 43.86803424383285 tps (with warm up)\noutlines_llama2_7b_address unconstrained generated 1721 tokens with 44.11696324128483 tps\noutlines_llama2_7b_address overhead per token: 0.13 ms\nformatron_llama2_7b_linkedlist generated 1036 tokens with 43.75487566282725 tps (with warm up)\nformatron_llama2_7b_linkedlist unconstrained generated 1964 tokens with 44.2038637790056 tps\nformatron_llama2_7b_linkedlist overhead per token: 0.23 ms\nlm_format_enforcer_llama2_7b_linkedlist generated 1591 tokens with 43.20899409705097 tps (with warm up)\nlm_format_enforcer_llama2_7b_linkedlist unconstrained generated 1969 tokens with 44.175113431366924 tps\nlm_format_enforcer_llama2_7b_linkedlist overhead per token: 0.51 ms\nformatron_llama2_7b_orders generated 6419 tokens with 44.07407563180127 tps (with warm up)\nformatron_llama2_7b_orders unconstrained generated 5823 tokens with 44.08194994116738 tps\nformatron_llama2_7b_orders overhead per token: 0.00 ms\nlm_format_enforcer_llama2_7b_orders generated 5806 tokens with 43.18685281407355 tps (with warm up)\nlm_format_enforcer_llama2_7b_orders unconstrained generated 5841 tokens with 44.05463788024016 tps\nlm_format_enforcer_llama2_7b_orders overhead per token: 0.46 ms\noutlines_llama2_7b_order generated 5577 tokens with 44.01748467201647 tps (with warm up)\noutlines_llama2_7b_order unconstrained generated 5809 tokens with 44.08426316901305 tps\noutlines_llama2_7b_order overhead per token: 0.03 ms\n"
  },
  {
    "path": "dev-dependencies.txt",
    "content": "git+https://github.com/Dan-wanna-M/doxypypy@master"
  },
  {
    "path": "docs/dev/placeholder",
    "content": ""
  },
  {
    "path": "docs/header_gen.py",
    "content": "import argparse\n\n\ndef sort_versions_by_latest(versions):\n    def version_key(version):\n        # Strip the 'v' and split the version into a tuple of integers\n        return tuple(map(int, version.lstrip('v').split('.')))\n\n    # Sort the versions using the version_key, in reverse order for latest first\n    return sorted(versions, key=version_key, reverse=True)\n\n\n# Create the parser\nparser = argparse.ArgumentParser(description='Process some tags.')\nparser.add_argument('--current_tag', default=\"\", action='store', help='Current tag')\n# Add the tags argument\nparser.add_argument('--tags', default=[], action='store', nargs='*', help='List of tags to process')\n\n# Parse the arguments\nargs = parser.parse_args()\n\n# Output the list of tags\nprint(\"Tags received:\", args.tags)\n\n# filter out empty tags\nargs.tags = [tag for tag in args.tags if tag]\noptions = [fr'<option value=\"../{i}/index.html\" {\"selected\" if i == args.current_tag else \"\"}>{i}</option>'\n           for i in sort_versions_by_latest(args.tags)]\nif not args.current_tag:\n    options.append(r'<option value=\"../dev/index.html\" selected>dev</option>')\noptions = '\\n'.join(options)\n\nhtml = rf\"\"\"<!-- HTML header for doxygen 1.11.0-->\n<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Transitional//EN\" \"https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd\">\n<html xmlns=\"http://www.w3.org/1999/xhtml\" lang=\"$langISO\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/xhtml;charset=UTF-8\"/>\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=11\"/>\n<meta name=\"generator\" content=\"Doxygen $doxygenversion\"/>\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"/>\n<!--BEGIN PROJECT_NAME--><title>$projectname: $title</title><!--END PROJECT_NAME-->\n<!--BEGIN !PROJECT_NAME--><title>$title</title><!--END !PROJECT_NAME-->\n<!--BEGIN PROJECT_ICON-->\n<link rel=\"icon\" href=\"$relpath^$projecticon\" type=\"image/x-icon\" />\n<!--END PROJECT_ICON-->\n<link href=\"$relpath^tabs.css\" rel=\"stylesheet\" type=\"text/css\"/>\n<!--BEGIN DISABLE_INDEX-->\n  <!--BEGIN FULL_SIDEBAR-->\n<script type=\"text/javascript\">var page_layout=1;</script>\n  <!--END FULL_SIDEBAR-->\n<!--END DISABLE_INDEX-->\n<script type=\"text/javascript\" src=\"$relpath^jquery.js\"></script>\n<script type=\"text/javascript\" src=\"$relpath^dynsections.js\"></script>\n<!--BEGIN COPY_CLIPBOARD-->\n<script type=\"text/javascript\" src=\"$relpath^clipboard.js\"></script>\n<!--END COPY_CLIPBOARD-->\n$treeview\n$search\n$mathjax\n$darkmode\n<link href=\"$relpath^$stylesheet\" rel=\"stylesheet\" type=\"text/css\" />\n$extrastylesheet\n</head>\n<body>\n<!--BEGIN DISABLE_INDEX-->\n  <!--BEGIN FULL_SIDEBAR-->\n<div id=\"side-nav\" class=\"ui-resizable side-nav-resizable\"><!-- do not remove this div, it is closed by doxygen! -->\n  <!--END FULL_SIDEBAR-->\n<!--END DISABLE_INDEX-->\n\n<div id=\"top\"><!-- do not remove this div, it is closed by doxygen! -->\n\n<!--BEGIN TITLEAREA-->\n<div id=\"titlearea\">\n<table cellspacing=\"0\" cellpadding=\"0\">\n <tbody>\n <tr id=\"projectrow\">\n  <!--BEGIN PROJECT_LOGO-->\n  <td id=\"projectlogo\"><img alt=\"Logo\" src=\"$relpath^$projectlogo\"$logosize/></td>\n  <!--END PROJECT_LOGO-->\n  <!--BEGIN PROJECT_NAME-->\n  <td id=\"projectalign\">\n   <div id=\"projectname\">$projectname<span id=\"projectnumber\">&#160;$projectnumber</span>\n     <!-- Version Selector -->\n     <select id=\"versionSelector\" onchange=\"location = this.value;\">\n       {options}\n     </select>\n   </div>\n   <!--BEGIN PROJECT_BRIEF--><div id=\"projectbrief\">$projectbrief</div><!--END PROJECT_BRIEF-->\n  </td>\n  <!--END PROJECT_NAME-->\n  <!--BEGIN !PROJECT_NAME-->\n   <!--BEGIN PROJECT_BRIEF-->\n    <td>\n    <div id=\"projectbrief\">$projectbrief</div>\n    </td>\n   <!--END PROJECT_BRIEF-->\n  <!--END !PROJECT_NAME-->\n  <!--BEGIN DISABLE_INDEX-->\n   <!--BEGIN SEARCHENGINE-->\n     <!--BEGIN !FULL_SIDEBAR-->\n    <td>$searchbox</td>\n     <!--END !FULL_SIDEBAR-->\n   <!--END SEARCHENGINE-->\n  <!--END DISABLE_INDEX-->\n </tr>\n  <!--BEGIN SEARCHENGINE-->\n   <!--BEGIN FULL_SIDEBAR-->\n   <tr><td colspan=\"2\">$searchbox</td></tr>\n   <!--END FULL_SIDEBAR-->\n  <!--END SEARCHENGINE-->\n </tbody>\n</table>\n</div>\n<!--END TITLEAREA-->\n<!-- end header part -->\"\"\"\nwith open(\"docs/header.html\", \"w\", encoding='UTF-8') as f:\n    f.write(html)\n"
  },
  {
    "path": "docs/header_gen.sh",
    "content": "#!/bin/bash\n\n# Extract tags from Git\ntags=$(git tag)\necho \"Tags: $tags\"\n# Convert tags to a space-separated string\nmapfile -t tags_array <<< \"$tags\"\n\n# Pass the tags to the Python script\npython docs/header_gen.py --current_tag \"$1\" --tags \"${tags_array[@]}\"\n"
  },
  {
    "path": "docs/index_gen.py",
    "content": "import argparse\nimport os\n# Create the parser\nparser = argparse.ArgumentParser()\n# Add the version argument\nparser.add_argument('--version', action='store', type=str, help='The version to redirect to')\n# Parse the arguments\nargs = parser.parse_args()\n# Output the redirecting html\nversion = args.version\nhtml = f\"\"\"<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n    <meta charset=\"UTF-8\">\n    <meta http-equiv=\"refresh\" content=\"0;url={version}/index.html\">\n    <title>Redirecting...</title>\n</head>\n<body>\n    <p>If you are not redirected, <a href=\"{version}/index.html\">click here</a>.</p>\n</body>\n</html>\"\"\"\n# create the index folder if it does not exist\nif not os.path.exists('docs/index'):\n    os.makedirs('docs/index')\nwith open('docs/index/index.html', 'w', encoding=\"UTF-8\") as f:\n    f.write(html)\n"
  },
  {
    "path": "examples/test_readme_examples.py",
    "content": "def test_readme_example():\n    import torch\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    torch.manual_seed(514)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    digit = f.regex('([1-9][0-9]*)', capture_name='digit')\n    f.append_line(f\"My favorite integer is {digit}.\")\n    f.append_str(f\"I think integer {digit} is also very interesting.\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Which integer is your favourite?<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'digit': [<re.Match object; span=(0, 2), match='42'>, <re.Match object; span=(0, 2), match='42'>]}]\n\n\ndef test_readme_example2():\n    import torch\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    from formatron.schemas.dict_inference import infer_mapping\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    schema = infer_mapping({\"name\": \"foo\", \"age\": 28})\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>I am 周明瑞. My age is 24. Extract information from this sentence into json.<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': {'name': '周明瑞', 'age': 34}}]\n\n\ndef test_readme_example3():\n    from formatron.schemas.pydantic import ClassSchema\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    import torch\n\n    class Goods(ClassSchema):\n        name: str\n        price: float\n        remaining: int\n\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    schema = Goods\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>We have 14 apples left with each price 14.4$. Extract information from this sentence into json.<|end|>\n<|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': Goods(name='apples', price=14.4, remaining=14)}]\n\n\ndef test_readme_example4():\n    import torch\n    from formatron import schemas\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n\n    @schemas.pydantic.callable_schema\n    def add(a: int, b: int, /, *, c: int):\n        return a + b + c\n\n    model = AutoModelForCausalLM.from_pretrained(\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"NurtureAI/Meta-Llama-3-8B-Instruct-32k\")\n    inputs = tokenizer([\"\"\"<|system|>\n    You are a helpful assistant.<|end|>\n    <|user|>a is 1, b is 6 and c is 7. Generate a json containing them.<|end|>\n    <|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(add, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': 14}]\n\n\ndef test_readme_example5():\n    import torch\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.extractor import NonterminalExtractor\n    import typing\n\n    class ArithmeticExpressionExtractor(NonterminalExtractor):\n        def __init__(self, nonterminal: str, capture_name: typing.Optional[str] = None):\n            super().__init__(nonterminal, capture_name)\n\n        def extract(self, input_str: str) -> typing.Optional[tuple[str, typing.Any]]:\n            i = 0\n            left_bracket = 0\n            while i < len(input_str):\n                if input_str[i].isdigit() or input_str[i] in \"+-*/.\":\n                    i += 1\n                    continue\n                if input_str[i] == \"(\":\n                    i += 1\n                    left_bracket += 1\n                    continue\n                if input_str[i] == \")\":\n                    i += 1\n                    left_bracket -= 1\n                    continue\n                else:\n                    break\n            if left_bracket != 0:\n                return None\n            return input_str[i:], input_str[:i]\n\n        @property\n        def kbnf_definition(self) -> str:\n            return  \"\"\"\nexpression ::=  term { (\"+\" | \"-\") term };\nterm       ::= factor { (\"*\" | \"/\") factor };\nfactor     ::= number | \"(\" expression \")\";\nnumber     ::= #\"[0-9]+(\\\\\\\\.[0-9]+)?\";\n\"\"\".replace(\"expression\", self.nonterminal)\n\n    model = AutoModelForCausalLM.from_pretrained(\"NurtureAI/Meta-Llama-3-8B-Instruct-32k\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"NurtureAI/Meta-Llama-3-8B-Instruct-32k\")\n    inputs = tokenizer([\"\"\"<|system|>\n        You are a helpful assistant.<|end|>\n        <|user|>Repeat it: ((32+43)*114)<|end|>\n        <|assistant|>((32+43)*114)<|end|>\n        <|user|>Repeat it: ((32+43)*(114-514))<|end|>\n        <|assistant|>\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    f = FormatterBuilder()\n    f.append_line(\n        f\"{f.extractor(lambda nonterminal: ArithmeticExpressionExtractor(nonterminal, 'json'))}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output: [{'json': '(((32+43)*(114-514)))*1.5'}]\n\ndef test_readme_example6():\n    from formatron.schemas import json_schema\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    import torch\n\n    schema = {\n        \"$id\": \"https://example.com/person.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"name\": {\n                \"type\": \"string\"\n            },\n            \"age\": {\n                \"type\": \"integer\"\n            }\n        },\n        \"required\": [\"name\", \"age\"]\n    }\n    schema = json_schema.create_schema(schema)\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Extract information from this sentence into json: my name is Genov and I am 28 years old.<|end|>\n<|assistant|>```\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': {'name': 'Genov', 'age': 28}}]\n\ndef test_readme_example7():\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    import torch\n\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    f.append_line(f\"{f.substr('The quick brown fox jumps over the lazy dog.', capture_name='animal')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>What animal is mentioned in the phrase \"The quick brown fox jumps over the lazy dog\"?<|end|>\n<|assistant|>The animal mentioned in the phrase is the \"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    output = tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                   max_new_tokens=100, logits_processor=logits_processor))\n    print(output)\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'animal': 'fox'}]\n\ndef test_readme_example8():\n    from formatron.schemas.pydantic import ClassSchema\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.schemas.schema import SubstringOf\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    import torch\n    import typing\n    from pydantic import Field\n\n    class Person(ClassSchema):\n        name: typing.Annotated[str, Field(..., substring_of=\"Alice Bob Charlie David Eve\"), SubstringOf(\"Alice Bob Charlie David Eve\")]\n        age: int\n\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(Person, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>Extract information from this sentence into json: Bob is 32 years old.<|end|>\n<|assistant|>```\"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    print(tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                max_new_tokens=100, logits_processor=logits_processor)))\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': {'name': 'Bob', 'age': 32}}]\n\ndef test_readme_example9():\n    from formatron.schemas import json_schema\n    from formatron.integrations.transformers import create_formatter_logits_processor_list\n    from formatron.formatter import FormatterBuilder\n    from transformers import AutoModelForCausalLM\n    import transformers\n    import torch\n\n    schema = {\n        \"$id\": \"https://example.com/animal.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"animal\": {\n                \"type\": \"string\",\n                \"substring_of\": \"The quick brown fox jumps over the lazy dog.\"\n            }\n        },\n        \"required\": [\"animal\"]\n    }\n    schema = json_schema.create_schema(schema)\n\n    torch.manual_seed(520)\n    model = AutoModelForCausalLM.from_pretrained(\"microsoft/Phi-3-mini-128k-instruct\",\n                                                 device_map=\"cuda\",\n                                                 torch_dtype=torch.float16)\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"microsoft/Phi-3-mini-128k-instruct\")\n\n    f = FormatterBuilder()\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"\"\"<|system|>\nYou are a helpful assistant.<|end|>\n<|user|>What animal is mentioned in the phrase \"The quick brown fox jumps over the lazy dog\"?<|end|>\n<|assistant|>The animal mentioned in the phrase is the \"\"\"], return_tensors=\"pt\").to(\"cuda\")\n    output = tokenizer.batch_decode(model.generate(**inputs, top_p=0.5, temperature=1,\n                                                   max_new_tokens=100, logits_processor=logits_processor))\n    print(output)\n    print(logits_processor[0].formatters_captures)\n    # possible output:\n    # [{'json': {'animal': 'fox'}}]\n\n\ntest_readme_example()\ntest_readme_example2()\ntest_readme_example3()\ntest_readme_example4()\ntest_readme_example5()\ntest_readme_example6()\ntest_readme_example7()\ntest_readme_example8()\ntest_readme_example9()\n"
  },
  {
    "path": "py_filter.bat",
    "content": "doxypypy -a -c %1"
  },
  {
    "path": "py_filter.sh",
    "content": "#!/bin/bash\ndoxypypy -a -c $1"
  },
  {
    "path": "pyproject.toml",
    "content": "[build-system]\nrequires = [\"setuptools>=61.0\"]\nbuild-backend = \"setuptools.build_meta\"\n[project]\nname = \"formatron\"\nversion = \"0.5.0\"\nauthors = [\n  {name = \"Xintong Sun\", email = \"xs28@rice.edu\"},\n]\ndescription = \"Formatron empowers everyone to control the output format of language models with minimal overhead.\"\nreadme = \"README.md\"\ndependencies = [\"pydantic>=2,<3\",\"kbnf>=0.4.0,<0.5.0\", \"general-sam>=1,<2\", \"jsonschema>=4,<5\", \"frozendict>=2,<3\"]\nlicense = {file = \"LICENSE\"}\nkeywords = [\"deep learning\", \"language model\", \"guided generation\", \"structured generation\",\"constrained decoding\"]\nrequires-python = \">=3.10\"\nclassifiers = [\n    \"Development Status :: 4 - Beta\",\n    \"Intended Audience :: Developers\",\n    \"Intended Audience :: Science/Research\",\n    \"Operating System :: OS Independent\",\n    \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n    \"Topic :: Text Processing\",\n    \"Programming Language :: Python :: Implementation :: CPython\",\n]\n[project.optional-dependencies]\nrwkv = [\"rwkv>=0.7.4,<0.9.0\"]\ntransformers = [\"transformers>=4,<5\"]\nexllamav2 = [\"exllamav2>=0.0.17,<0.4.0\"]\nvllm = [\"vllm>=0.2.2,<0.9.0\"]\n[project.urls]\nRepository = \"https://github.com/Dan-wanna-M/formatron\"\n[tool.pytest.ini_options]\naddopts = [\n    \"--import-mode=importlib\",\n]"
  },
  {
    "path": "src/formatron/__init__.py",
    "content": ""
  },
  {
    "path": "src/formatron/config.py",
    "content": "\"\"\"\nConfiguration classes for Formatron.\n\"\"\"\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass EngineGenerationConfig:\n    \"\"\"\n    Configuration for how an KBNF engine should be used in text generation.\n\n    Attributes:\n        read_prompt: Whether to accept the prompt tokens when a generation begins.\n        reset_at_beginning: Whether to reset the engine when a new generation begins.\n    \"\"\"\n    read_prompt: bool = False\n    reset_at_beginning: bool = True\n"
  },
  {
    "path": "src/formatron/extractor.py",
    "content": "\"\"\"\nExtractors for extracting data from generated strings.\n\"\"\"\nimport abc\nimport typing\n\nfrom general_sam import GeneralSam\n__all__ = [\"Extractor\", \"ChoiceExtractor\", \"NonterminalExtractor\"]\n\nclass Extractor(abc.ABC):\n    \"\"\"\n    An abstract extractor that extracts data from a string and offers its KBNF rules definition.\n    \"\"\"\n\n    def __init__(self, capture_name: typing.Optional[str] = None):\n        \"\"\"\n        Initialize an extractor.\n        Args:\n            capture_name: The name of the capture, or `None` if the extractor does not capture.\n        \"\"\"\n        self._capture_name = capture_name\n\n    @property\n    def capture_name(self) -> typing.Optional[str]:\n        \"\"\"\n        Get the name of the capture, or `None` if the extractor does not capture.\n        \"\"\"\n        return self._capture_name\n\n    @abc.abstractmethod\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, typing.Any]]:\n        \"\"\"\n        Extract data from the input string, or `None` if the extraction failed.\n        Args:\n            input_str: The input string.\n        Returns:\n            The remaining string and the extracted data, or `None` if the extraction failed.\n        \"\"\"\n\n    @property\n    @abc.abstractmethod\n    def kbnf_reference(self) -> str:\n        \"\"\"\n        Get the KBNF reference of the extractor in the generated grammar of a Formatter.\n        Check Formatter.kbnf_definition for the difference between kbnf_reference and kbnf_definition.\n        \"\"\"\n\n    def __str__(self):\n        return f\"${{{self.kbnf_reference}}}\"\n\n    @property\n    @abc.abstractmethod\n    def kbnf_definition(self) -> str:\n        \"\"\"\n        Get the KBNF definition of the extractor in the generated grammar of a Formatter.\n\n        The difference between kbnf_reference and kbnf_definition is that kbnf_reference is how the extractor is referenced in other rules,\n        while kbnf_definition is the definition of the extractor itself, similar to a C header file. If kbnf_reference does not need extra definition,\n        you can just return an empty string.\n        \"\"\"\n\n\nclass NonterminalExtractor(Extractor):\n    \"\"\"\n    An extractor that extracts data corresponding to a nonterminal.\n    \"\"\"\n\n    def __init__(self, nonterminal: str, capture_name: typing.Optional[str] = None):\n        \"\"\"\n        Initialize the nonterminal extractor.\n        \"\"\"\n        super().__init__(capture_name)\n        if capture_name is None:\n            self._nonterminal = nonterminal\n        else:\n            self._nonterminal = f\"{nonterminal}_{capture_name}\"\n\n    @property\n    def nonterminal(self) -> str:\n        \"\"\"\n        Get the nonterminal of the extractor.\n        \"\"\"\n        return self._nonterminal\n\n    @property\n    def kbnf_reference(self) -> str:\n        return self._nonterminal\n\n\nclass LiteralExtractor(Extractor):\n    \"\"\"\n    An extractor that extracts a literal string.\n    \"\"\"\n\n    def __init__(self, literal: str):\n        \"\"\"\n        Initialize the literal extractor. It never captures since capturing a literal is redundant.\n\n        Args:\n            literal: The literal string to extract.\n        \"\"\"\n        super().__init__(None)\n        self._literal = literal\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, str]]:\n        \"\"\"\n        Extract the literal from the input string, or `None` if the literal is not found.\n        \"\"\"\n        pos = input_str.find(self._literal)\n        if pos == -1:\n            return None\n        return input_str[pos + len(self._literal):], self._literal\n\n    @property\n    def kbnf_reference(self) -> str:\n        return repr(self._literal)\n\n    @property\n    def kbnf_definition(self) -> str:\n        return \"\"\n\n\nclass ChoiceExtractor(NonterminalExtractor):\n    \"\"\"\n    An extractor that uses multiple extractors to extract data. It stops at the first succeeding extractor.\n    \"\"\"\n\n    def __init__(self, choices: typing.Iterable[Extractor], capture_name: str, nonterminal: str):\n        \"\"\"\n        Initialize the choice extractor.\n\n        Args:\n            choices: The extractors to choose from. The order determines the extractors' priority.\n            capture_name: The name of the capture, or `None` if the extractor does not capture.\n            nonterminal: The nonterminal representing the extractor.\n        \"\"\"\n        super().__init__(nonterminal, capture_name)\n        self._choices = choices\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, typing.Any]]:\n        \"\"\"\n        Extract data from the input string using the first succeeding extractor.\n\n        Args:\n            input_str: The input string.\n        Returns:\n            The remaining string and the extracted data, or `None` if all extractors failed.\n        \"\"\"\n        for choice in self._choices:\n            matched = choice.extract(input_str)\n            if matched:\n                return matched\n        return None\n\n    @property\n    def kbnf_definition(self) -> str:\n        return f\"{self.nonterminal} ::= {' | '.join([i.kbnf_reference for i in self._choices])};\"\n    \n\nclass SubstringExtractor(NonterminalExtractor):\n    \"\"\"\n    An extractor that extracts a substring of a given string from the input string.\n    \"\"\"\n\n    def __init__(self, string: str, capture_name: str, nonterminal: str, *, extract_empty_substring: bool = False):\n        \"\"\"\n        Initialize the substring extractor.\n        Args:\n            string: The string to extract.\n            nonterminal: The nonterminal representing the extractor.\n            capture_name: The name of the capture, or `None` if the extractor does not capture.\n            extract_empty_substring: Whether to extract empty substring as a valid substring.\n        \"\"\"\n        super().__init__(nonterminal, capture_name)\n        self._suffix_automaton = GeneralSam.from_bytes(string.encode(\"UTF-8\"))\n        self._string = string\n        self.extract_empty_substring = extract_empty_substring\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, str]]:\n        \"\"\"\n        Extract the longest substring of a given string from the input string. \n        If extract_empty_substring is True, empty string is always a valid substring, so the returned string could be empty and `None` will never be returned.\n        Otherwise, empty string is not a valid substring,\n        so the returned string could not be empty and `None` will be returned if the input string does not contain the given string.\n        \"\"\"\n        current_state = self._suffix_automaton.get_root_state()\n        longest_match = 0\n        for char in input_str:\n            current_state.feed_bytes(char.encode('utf-8'))\n            if current_state.is_nil():\n                break\n            longest_match += 1\n        \n        if longest_match > 0 or self.extract_empty_substring:\n            extracted = input_str[:longest_match]\n            remaining = input_str[longest_match:]\n            return remaining, extracted\n        return None\n    \n    @property\n    def kbnf_definition(self) -> str:\n        return f\"{self.nonterminal} ::= #substrs{repr(self._string)};\"\n\n\n"
  },
  {
    "path": "src/formatron/formats/__init__.py",
    "content": "\"\"\"\nThis subpackage contains modules that operate with concrete formats, like json.\n\"\"\"\n"
  },
  {
    "path": "src/formatron/formats/json.py",
    "content": "\"\"\"\nThe module defines the `JsonExtractor` class, which is used to extract data from a string in JSON format.\n\"\"\"\nimport collections\nimport decimal\nimport types\nimport typing\n\nfrom frozendict import frozendict\n\nfrom formatron import extractor, schemas\nfrom formatron.formats.utils import escape_identifier\n\n\n__all__ = [\"JsonExtractor\", \"strict_schema\"]\n\n\n\"\"\"\nWhether to raise an error if the grammar cannot be precisely constructed from the schema.\nTrue by default. \n\nIf set to False, heuristics will be used to construct the grammar that may not fully describe the schema's constraints.\n\"\"\"\nstrict_schema = True\n\nSPACE_NONTERMINAL = \"[ \\t\\n]*\"\n\nGRAMMAR_HEADER = rf\"\"\"integer ::= #\"{SPACE_NONTERMINAL}-?(0|[1-9][0-9]*)\";\nnumber ::= #\"{SPACE_NONTERMINAL}-?(0|[1-9][0-9]*)(\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'{SPACE_NONTERMINAL}\"([^\\\\\\\\\"\\u0000-\\u001f]|\\\\\\\\[\"\\\\\\\\bfnrt]|\\\\\\\\u[0-9A-Fa-f]{{4}})*\"';\nboolean ::= #\"{SPACE_NONTERMINAL}(true|false)\";\nnull ::= #\"{SPACE_NONTERMINAL}null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"{SPACE_NONTERMINAL},\";\ncolon ::= #\"{SPACE_NONTERMINAL}:\";\nobject_begin ::= #\"{SPACE_NONTERMINAL}\\\\{{\";\nobject_end ::= #\"{SPACE_NONTERMINAL}\\\\}}\";\narray_begin ::= #\"{SPACE_NONTERMINAL}\\\\[\";\narray_end ::= #\"{SPACE_NONTERMINAL}\\\\]\";\n\"\"\"\n\ndef from_str_to_kbnf_str(s: str) -> str:\n    \"\"\"\n    Convert a string to a kbnf string.\n\n    Args:\n        s: The string to convert.\n\n    Returns:\n        The kbnf string.\n    \"\"\"\n    s = f\"\\\"{repr(s)[1:-1]}\\\"\"\n    return f\"#'{SPACE_NONTERMINAL}{s}'\"\n\n_type_to_nonterminals = []\n\n\n\ndef register_generate_nonterminal_def(\n        generate_nonterminal_def: typing.Callable[\n            [typing.Type, str],\n            typing.Optional[typing.Tuple[str,\n                                         typing.List[typing.Tuple[typing.Type, str]]]]]) -> None:\n    \"\"\"\n    Register a callable to generate nonterminal definition from a type.\n    The callable returns (nonterminal_definition, [(sub_type, sub_nonterminal), ...])\n    if the type is supported by this callable, otherwise None.\n    [(sub_type, sub_nonterminal), ...] are the types and nonterminals used in nonterminal_definition that may need\n    to be generated in the grammar too.\n\n    Args:\n        generate_nonterminal_def: A callable to generate nonterminal definition from a type.\n    \"\"\"\n    _type_to_nonterminals.append(generate_nonterminal_def)\n\n\ndef _register_all_predefined_types():\n    def schema(current: typing.Type, nonterminal: str):\n        if isinstance(current, type) and not isinstance(current, types.GenericAlias) \\\n                and issubclass(current, schemas.schema.Schema):\n            line = [f\"{nonterminal} ::= \", \"object_begin \"]\n            result = []\n            fields = []\n            for field, _field_info in current.fields().items():\n                field_name = f\"{nonterminal}_{field}\"\n                field_name = escape_identifier(field_name)\n                key = from_str_to_kbnf_str(field)\n                fields.append(f\"{key} colon {field_name}\")\n                result.append((_field_info, field_name))\n            line.append(\" comma \".join(fields))\n            line.append(\" object_end;\\n\")\n            return \"\".join(line), result\n        return None\n\n    def field_info(current: typing.Type, nonterminal: str):\n        if isinstance(current, schemas.schema.FieldInfo):\n            annotation = current.annotation\n            if current.required:\n                return \"\", [(annotation, nonterminal)]\n            new_nonterminal = f\"{nonterminal}_required\"\n            return f\"{nonterminal} ::= {new_nonterminal}?;\\n\", [(annotation, new_nonterminal)]\n        return None\n\n    def string_metadata(current: typing.Type, nonterminal: str):\n        min_length = current.metadata.get(\"min_length\")\n        max_length = current.metadata.get(\"max_length\")\n        pattern = current.metadata.get(\"pattern\")\n        substring_of = current.metadata.get(\"substring_of\")\n        if pattern:\n            # Check if pattern contains unescaped anchors (^ or $)\n            # First replace escaped anchors with placeholders\n            temp_pattern = pattern.replace(r'\\^', '').replace(r'\\$', '').replace(r'\\\\A', '').replace(r'\\\\z', '')\n            # Check for unescaped anchors\n            if '^' in temp_pattern or '$' in temp_pattern or '\\A' in temp_pattern or '\\z' in temp_pattern:\n                if strict_schema:\n                    raise ValueError(f\"Pattern '{pattern}' contains unescaped anchors (^, $, \\\\A, \\\\z) which are not allowed\")\n                else:\n                    print(f\"Warning: pattern '{pattern}' contains unescaped anchors (^, $, \\\\A, \\\\z) which are not allowed in schema {current} from {nonterminal}\")\n                    pattern = pattern.strip('^$')\n            pattern = repr(pattern)[1:-1]\n            if strict_schema:\n                assert not (min_length or max_length or substring_of), \"pattern is mutually exclusive with min_length, max_length and substring_of\"\n            else:\n                if min_length or max_length or substring_of:\n                    print(f\"Warning: pattern is mutually exclusive with min_length, max_length and substring_of in schema {current} from {nonterminal}\")\n                    min_length = None\n                    max_length = None\n                    substring_of = None\n        if substring_of:\n            if strict_schema:\n                assert not (min_length or max_length or pattern), \"substring_of is mutually exclusive with min_length, max_length and pattern\"\n            else:\n                if min_length or max_length or pattern:\n                    print(f\"Warning: substring_of is mutually exclusive with min_length, max_length and pattern in schema {current} from {nonterminal}\")\n                    min_length = None\n                    max_length = None\n                    pattern = None\n        repetition_map = {\n            (True, False): f\"{{{min_length},}}\",\n            (False, True): f\"{{0,{max_length}}}\",\n            (True, True): f\"{{{min_length},{max_length}}}\"\n        }\n        repetition = repetition_map.get((min_length is not None, max_length is not None))\n        if repetition is not None:\n            return fr\"\"\"{nonterminal} ::= #'{SPACE_NONTERMINAL}\"([^\\\\\\\\\"\\u0000-\\u001f]|\\\\\\\\[\"\\\\\\\\bfnrt/]|\\\\\\\\u[0-9A-Fa-f]{{4}}){repetition}\"';\n\"\"\", []\n        if pattern is not None:\n            pattern = pattern.replace(\"'\", \"\\\\'\")\n            return f\"\"\"{nonterminal} ::= #'{SPACE_NONTERMINAL}\"{pattern}\"';\\n\"\"\", []\n        if substring_of is not None:\n            return f\"\"\"{nonterminal} ::= #'{SPACE_NONTERMINAL}' '\"' #substrs{repr(substring_of)} '\"';\\n\"\"\", []\n    \n    def number_metadata(current: typing.Type, nonterminal: str):\n        gt = current.metadata.get(\"gt\")\n        ge = current.metadata.get(\"ge\")\n        lt = current.metadata.get(\"lt\")\n        le = current.metadata.get(\"le\")\n        \n        prefix_map = {\n            (gt, 0): \"\",\n            (ge, 0): \"0|\",\n            (lt, 0): \"-\",\n            (le, 0): \"0|-\",\n        }\n        \n        for (condition, value), prefix in prefix_map.items():\n            if condition is not None and condition == value:\n                if issubclass(current.type, int):\n                    return f\"\"\"{nonterminal} ::= #'{SPACE_NONTERMINAL}{prefix}[1-9][0-9]*';\\n\"\"\", []\n                elif issubclass(current.type, float):\n                    return f\"\"\"{nonterminal} ::= #'{SPACE_NONTERMINAL}{prefix}[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\\n\"\"\", []\n        if strict_schema:\n            raise ValueError(f\"{current.type.__name__} metadata {current.metadata} is not supported in json_generators!\")\n        else:\n            print(f\"Warning: {current.type.__name__} metadata {current.metadata} is not supported in json_generators!\")\n            return \"\", [(current.type, nonterminal)]\n    \n    def sequence_metadata(current: typing.Type, nonterminal: str):\n        min_items = current.metadata.get(\"min_length\")\n        max_items = current.metadata.get(\"max_length\")\n        prefix_items = current.metadata.get(\"prefix_items\")\n        additional_items = current.metadata.get(\"additional_items\")\n        if max_items is not None and prefix_items is not None and max_items <= len(prefix_items): # truncate prefix items\n            prefix_items = prefix_items[:max_items+1]\n        if prefix_items:\n            if not min_items: # json schema defaults to 0\n                min_items = 0\n            if not additional_items:\n                if min_items > len(prefix_items):\n                    raise ValueError(f\"min_items {min_items} is greater than the number of prefix_items {len(prefix_items)} and additional_items is not allowed\")\n                max_items = len(prefix_items)\n        if min_items is not None or max_items is not None: # prefix items will set min\n            new_nonterminal = f\"{nonterminal}_item\"\n            ebnf_rules = []\n            if min_items is None:\n                min_items = 0\n            if min_items == 0 and max_items is None and prefix_items is None: # no special handling needed\n                return \"\", [(current.type, new_nonterminal)]\n            prefix_items_nonterminals = [f\"{new_nonterminal}_{i}\" for i in range(len(prefix_items))] if prefix_items else []\n            prefix_items_parts = [] # contains the sequence of nonterminals for prefix items from min_items to len(prefix_items)\n            if prefix_items is not None:\n                for i in range(max(min_items,1), len(prefix_items)+1):\n                    prefix_items_parts.append(prefix_items_nonterminals[:i])\n                if min_items == 0: # EMPTY_PREFIX_ITEMS_ALLOWED\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin array_end;\")\n            if max_items is None: # unbounded\n                if not prefix_items:\n                    min_items_part = ' comma '.join([new_nonterminal] * (min_items - 1))\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin {min_items_part} comma {new_nonterminal}+ array_end;\")\n                elif len(prefix_items_parts) >= min_items: # this part assumes prefix items are not empty, so we need the EMPTY_PREFIX_ITEMS_ALLOWED check above\n                    for prefix_items_part in prefix_items_parts:\n                        prefix_items_part = ' comma '.join(prefix_items_part)\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin {prefix_items_part} (comma {new_nonterminal})* array_end;\")\n                else:\n                    min_items_part = ' comma '.join([new_nonterminal] * (min_items - len(prefix_items_nonterminals)-1))\n                    if  min_items_part:\n                        min_items_part = \"comma \" + min_items_part\n                    prefix_items_part = ' comma '.join(prefix_items_nonterminals)\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin {prefix_items_part} {min_items_part} comma {new_nonterminal}+ array_end;\")\n            elif min_items == 0 and not prefix_items: # TAG: ONLY_MAX_ITEMS\n                for i in range(min_items, max_items + 1):\n                    items = ' comma '.join([new_nonterminal] * i)\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin {items} array_end;\")\n            else:\n                prefix_items_num = len(prefix_items_nonterminals)\n                if prefix_items:\n                    for prefix_items_part in prefix_items_parts:\n                        prefix_items_part = ' comma '.join(prefix_items_part)\n                        ebnf_rules.append(f\"{nonterminal} ::= array_begin {prefix_items_part} array_end;\")\n                min_items_part = ' comma '.join([new_nonterminal] * (min_items - prefix_items_num))\n                prefix_items_part = ' comma '.join(prefix_items_nonterminals)\n                if min_items_part and prefix_items_part:\n                    ebnf_rules.append(f\"{nonterminal}_min ::= {prefix_items_part} comma {min_items_part};\")\n                elif min_items_part:\n                    ebnf_rules.append(f\"{nonterminal}_min ::= {min_items_part};\")\n                elif prefix_items_part:\n                    ebnf_rules.append(f\"{nonterminal}_min ::= {prefix_items_part};\")\n                # sanity check: if prefix_items_part and min_items_part are both empty, we will in ONLY_MAX_ITEMS branch above\n                common = max(min_items, prefix_items_num)\n                for i in range(1, max_items + 1 - common):\n                    items = ' comma '.join([new_nonterminal] * i)\n                    ebnf_rules.append(f\"{nonterminal} ::= array_begin {nonterminal}_min comma {items} array_end;\")  \n            # Handle the item type\n            args = typing.get_args(current.type)\n            if args:\n                item_type = args[0]\n            else:\n                # If args is empty, default to Any\n                item_type = typing.Any\n            if prefix_items:\n                return \"\\n\".join(ebnf_rules) + \"\\n\", list(zip(prefix_items, prefix_items_nonterminals)) + [(item_type, new_nonterminal)]\n            return \"\\n\".join(ebnf_rules) + \"\\n\", [(item_type, new_nonterminal)]\n        return None\n    \n    def is_sequence_like(current: typing.Type) -> bool:\n        \"\"\"\n        Check if the given type is sequence-like.\n\n        This function returns True for:\n        - typing.Sequence\n        - typing.List\n        - typing.Tuple\n        - Any subclass of collections.abc.Sequence\n        - list\n        - tuple\n\n        Args:\n            current: The type to check.\n\n        Returns:\n            bool: True if the type is sequence-like, False otherwise.\n        \"\"\"\n        original = typing.get_origin(current)\n        if original is None:\n            original = current\n        return (\n            original is typing.Sequence or\n            original is typing.List or\n            original is typing.Tuple or\n            (isinstance(original, type) and (issubclass(original, collections.abc.Sequence) or\n            issubclass(original, list) or\n            issubclass(original, tuple)))\n        )\n\n    def metadata(current: typing.Type, nonterminal: str):\n        if isinstance(current, schemas.schema.TypeWithMetadata):\n            original = typing.get_origin(current.type)\n            if original is None:\n                original = current.type\n            if not current.metadata:\n                return \"\", [(current.type, nonterminal)]\n            if isinstance(current.type, type) and issubclass(current.type, str):\n                return string_metadata(current, nonterminal)\n            elif isinstance(current.type, type) and issubclass(current.type, (int, float)):\n                return number_metadata(current, nonterminal)\n            elif is_sequence_like(original):\n                return sequence_metadata(current, nonterminal)\n        return None\n\n    def builtin_sequence(current: typing.Type, nonterminal: str):\n        original = typing.get_origin(current)\n        if original is None:\n            original = current\n        if is_sequence_like(original):\n            new_nonterminal = f\"{nonterminal}_value\"\n            annotation = typing.get_args(current)\n            if not annotation:\n                annotation = typing.Any\n            else:\n                annotation = annotation[0]\n            return f\"{nonterminal} ::= array_begin ({new_nonterminal} (comma {new_nonterminal})*)? array_end;\\n\", \\\n                [(annotation, new_nonterminal)]\n        return None\n\n    def builtin_dict(current: typing.Type, nonterminal: str):\n        original = typing.get_origin(current)\n        if original is None:\n            original = current\n        if original is typing.Mapping or isinstance(original, type) and issubclass(original,\n                                                                                   collections.abc.Mapping):\n            new_nonterminal = f\"{nonterminal}_value\"\n            args = typing.get_args(current)\n            if not args:\n                value = typing.Any\n            else:\n                assert issubclass(\n                    args[0], str), f\"{args[0]} is not string!\"\n                value = args[1]\n            if value is typing.Any:\n                return f\"{nonterminal} ::= object;\\n\", []\n            return f\"{nonterminal} ::=\" \\\n                f\" object_begin (string colon {new_nonterminal} (comma string colon {new_nonterminal})*)?\" \\\n                f\" object_end;\\n\", \\\n                [(value, new_nonterminal)]\n        return None\n\n    def builtin_tuple(current: typing.Type, nonterminal: str):\n        if typing.get_origin(current) is tuple or isinstance(current, type) and issubclass(current, tuple):\n            args = typing.get_args(current)\n            new_nonterminals = []\n            result = []\n            for i, arg in enumerate(args):\n                result.append(arg)\n                new_nonterminals.append(f\"{nonterminal}_{i}\")\n            return f\"{nonterminal} ::=array_begin {' comma '.join(new_nonterminals)} array_end;\\n\", \\\n                zip(result, new_nonterminals)\n\n    def builtin_union(current: typing.Type, nonterminal: str):\n        if typing.get_origin(current) is typing.Union:\n            args = typing.get_args(current)\n            assert args, f\"{current} from {nonterminal} cannot be an empty union!\"\n            new_nonterminals = []\n            result = []\n            for i, arg in enumerate(args):\n                result.append(arg)\n                new_nonterminals.append(f\"{nonterminal}_{i}\")\n            return f\"{nonterminal} ::= {' | '.join(new_nonterminals)};\\n\", zip(result, new_nonterminals)\n\n    def builtin_literal(current: typing.Type, nonterminal: str):\n        if typing.get_origin(current) is typing.Literal:\n            args = typing.get_args(current)\n            assert args, f\"{current} from {nonterminal} cannot be an empty literal!\"\n            new_items = []\n            result = []\n            for i, arg in enumerate(args):\n                if isinstance(arg, str):\n                    new_items.append(from_str_to_kbnf_str(arg))\n                elif isinstance(arg, bool):\n                    new_items.append(f'#\"{SPACE_NONTERMINAL}{str(arg).lower()}\"')\n                elif isinstance(arg, int):\n                    new_items.append(f'#\"{SPACE_NONTERMINAL}{str(arg)}\"')\n                elif isinstance(arg, float):\n                    new_items.append(f'#\"{SPACE_NONTERMINAL}{str(arg)}\"')\n                elif arg is None:\n                    new_items.append(\"null\")\n                elif isinstance(arg, tuple):\n                    for j,item in enumerate(arg):\n                        new_nonterminal = f\"{nonterminal}_{i}_{j}\"\n                        result.append((typing.Literal[item], new_nonterminal))\n                    new_item = f\"(array_begin {' comma '.join(map(lambda x:x[1], result))} array_end)\"\n                    new_items.append(new_item)\n                elif isinstance(arg, frozendict):\n                    for key, value in arg.items():\n                        new_nonterminal = f\"{nonterminal}_{i}_{key}\"\n                        result.append((typing.Literal[value], new_nonterminal))\n                    new_item = f\"object_begin {' comma '.join(map(lambda x:x[1], result))} object_end\"\n                    new_items.append(new_item)\n                else:\n                    new_nonterminal = f\"{nonterminal}_{i}\"\n                    result.append((arg, new_nonterminal))\n                    new_items.append(new_nonterminal)\n            return f\"{nonterminal} ::= {' | '.join(new_items)};\\n\", result\n\n    def builtin_simple_types(current: typing.Type, nonterminal: str):\n        if isinstance(current, type) and issubclass(current, bool):\n            return f\"{nonterminal} ::= boolean;\\n\", []\n        elif isinstance(current, type) and issubclass(current, int):\n            return f\"{nonterminal} ::= integer;\\n\", []\n        elif isinstance(current, type) and issubclass(current, float):\n            return f\"{nonterminal} ::= number;\\n\", []\n        elif isinstance(current, type) and issubclass(current, decimal.Decimal):\n            return f\"{nonterminal} ::= number;\\n\", []\n        elif isinstance(current, type) and issubclass(current, str):\n            return f\"{nonterminal} ::= string;\\n\", []\n        elif isinstance(current, type) and issubclass(current, type(None)):\n            return f\"{nonterminal} ::= null;\\n\", []\n        elif current is typing.Any:\n            return f\"{nonterminal} ::= json_value;\\n\", []\n        elif isinstance(current, typing.NewType):\n            current: typing.NewType\n            return \"\", [(current.__supertype__, nonterminal)]\n\n    register_generate_nonterminal_def(builtin_simple_types)\n    register_generate_nonterminal_def(schema)\n    register_generate_nonterminal_def(field_info)\n    register_generate_nonterminal_def(metadata)\n    register_generate_nonterminal_def(builtin_tuple)\n    register_generate_nonterminal_def(builtin_literal)\n    register_generate_nonterminal_def(builtin_union)\n    register_generate_nonterminal_def(builtin_sequence)\n    register_generate_nonterminal_def(builtin_dict)\n\ndef _generate_kbnf_grammar(schema: schemas.schema.Schema|collections.abc.Sequence, start_nonterminal: str) -> str:\n    \"\"\"\n    Generate a KBNF grammar string from a schema for JSON format.\n\n    Args:\n        schema: The schema to generate a grammar for.\n        start_nonterminal: The start nonterminal of the grammar. Default is \"start\".\n\n    Returns:\n        The generated KBNF grammar string.\n    \"\"\"\n    type_id_to_nonterminal = {\n        id(int): \"integer\",\n        id(float): \"number\",\n        id(str): \"string\",\n        id(bool): \"boolean\",\n        id(type(None)): \"null\",\n        id(list): \"array\",\n        id(dict): \"object\",\n        id(typing.Any): \"json_value\",\n    }\n    result = [GRAMMAR_HEADER]\n    nonterminals = set()\n    stack = [(schema, start_nonterminal)]\n    while stack:\n        (current, nonterminal) = stack.pop()\n        type_id = id(current)\n        if type_id in type_id_to_nonterminal:\n            line = f\"{nonterminal} ::= {type_id_to_nonterminal[type_id]};\\n\"\n            result.append(line)\n            continue\n        type_id_to_nonterminal[type_id] = nonterminal\n        for i in _type_to_nonterminals:\n            value = i(current, nonterminal)\n            if value is not None:\n                line, to_stack = value\n                result.append(line)\n                stack.extend(to_stack)\n                nonterminals.add(nonterminal)\n                break\n        else:\n            raise TypeError(\n                f\"{current} from {nonterminal} is not supported in json_generators!\")\n    return \"\".join(result)\n\n\nclass JsonExtractor(extractor.NonterminalExtractor):\n    \"\"\"\n    An extractor that loads json data to an object from a string.\n    \"\"\"\n\n    def __init__(self, nonterminal: str, capture_name: typing.Optional[str], schema: schemas.schema.Schema|collections.abc.Sequence,\n                 to_object: typing.Callable[[str], schemas.schema.Schema]):\n        \"\"\"\n        Create a json extractor from a given schema or a list of supported types.\n\n        Currently, the following data types are supported:\n\n        - bool\n        - int\n          - positive int\n          - negative int\n          - nonnegative int\n          - nonpositive int\n        - float\n          - positive float\n          - negative float\n          - nonnegative float\n          - nonpositive float\n        - str\n          - optionally with min_length, max_length and pattern constraints\n            - length is measured in UTF-8 character number after json parsing\n            - *Warning*: too large difference between min_length and max_length can lead to enormous memory consumption!\n            - pattern is mutually exclusive with min_length and max_length\n            - pattern will be compiled to a regular expression so all caveats of regular expressions apply\n            - pattern currently is automatically anchored at both ends\n            - the generated json could be invalid if the pattern allows invalid content between the json string's quotes.\n              - for example, `pattern=\".*\"` will allow '\\\"' to appear in the json string which is forbidden by JSON standard.\n          - also supports substring_of constraint which constrains the string to be a substring of a given string\n            - the generated json could be invalid if the given string contains invalid content when put into the json string's quotes.\n              - for example, `substring_of=\"abc\\\"\"` will allow '\\\"' to appear in the json string which is forbidden by JSON standard.\n        - NoneType\n        - typing.Any\n        - Subclasses of collections.abc.Mapping[str,T] and typing.Mapping[str,T] where T is a supported type,\n        - Subclasses of collections.abc.Sequence[T] and typing.Sequence[T] where T is a supported type.\n          - optionally with `minItems`, `maxItems`, `prefixItems` constraints\n          - *Warning*: too large difference between minItems and maxItems can lead to very slow performance!\n          - *Warning*: By json schema definition, prefixItems by default allows additional items and missing items in the prefixItems, which may not be the desired behavior and can lead to very slow performance if prefixItems is long!\n        - tuple[T1,T2,...] where T1,T2,... are supported types. The order, type and number of elements will be preserved.\n        - typing.Literal[x1,x2,...] where x1, x2, ... are instances of int, string, bool or NoneType, or another typing.Literal[y1,y2,...]\n        - typing.Union[T1,T2,...] where T1,T2,... are supported types.\n        - schemas.Schema where all its fields' data types are supported. Recursive schema definitions are supported as well.\n          - *Warning*: while not required field is supported, they can lead to very slow performance and/or enormous memory consumption if there are too many of them!\n        \n        Args:\n            nonterminal: The nonterminal representing the extractor.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n            schema: The schema.\n            to_object: A callable to convert the extracted string to a schema instance.\n        \"\"\"\n        super().__init__(nonterminal, capture_name)\n        self._to_object = to_object\n        self._rule_str = _generate_kbnf_grammar(schema, self.nonterminal)\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, schemas.schema.Schema]]:\n        \"\"\"\n        Extract a schema instance from a string.\n\n        Args:\n            input_str: The input string to extract from.\n\n        Returns:\n            A tuple of the remaining string and the extracted schema instance, or `None` if extraction failed.\n        \"\"\"\n\n        # Ensure the input string starts with '{' or '[' after stripping leading whitespace\n        input_str = input_str.lstrip()\n        if not input_str.startswith(('{', '[')):\n            return None\n\n        # Variables to track the balance of brackets and the position in the string\n        bracket_count = 0\n        position = 0\n        in_string = False\n        escape_next = False\n        start_char = input_str[0]\n        end_char = '}' if start_char == '{' else ']'\n\n        # Iterate over the string to find where the JSON object or array ends\n        for char in input_str:\n            if not in_string:\n                if char == start_char:\n                    bracket_count += 1\n                elif char == end_char:\n                    bracket_count -= 1\n                elif char == '\"':\n                    in_string = True\n            else:\n                if char == '\"' and not escape_next:\n                    in_string = False\n                elif char == '\\\\':\n                    escape_next = not escape_next\n                else:\n                    escape_next = False\n\n            # Move to the next character\n            position += 1\n\n            # If brackets are balanced and we're not in a string, stop processing\n            if bracket_count == 0 and not in_string:\n                break\n        else:\n            return None\n        # The position now points to the character after the last '}', so we slice to position\n        json_str = input_str[:position]\n        remaining_str = input_str[position:]\n        # Return the unparsed remainder of the string and the decoded JSON object\n        return remaining_str, self._to_object(json_str)\n\n    @property\n    def kbnf_definition(self):\n        return self._rule_str\n\n\n_register_all_predefined_types()\n"
  },
  {
    "path": "src/formatron/formats/regex.py",
    "content": "\"\"\"\nThis module contains the RegexExtractor class, which is used to extract data using a regular expression.\n\"\"\"\nimport re\nimport typing\nfrom formatron.extractor import NonterminalExtractor\n\n\nclass RegexExtractor(NonterminalExtractor):\n    \"\"\"\n    An extractor that extracts a string using a regular expression.\n    \"\"\"\n\n    def __init__(self, regex: str, capture_name: str, nonterminal: str):\n        \"\"\"\n        Initialize the regex extractor.\n\n        Args:\n            regex: The regular expression for extraction.\n            capture_name: The name of the capture, or `None` if the extractor does not capture.\n            nonterminal: The nonterminal representing the extractor.\n        \"\"\"\n        super().__init__(nonterminal, capture_name)\n        self._regex = re.compile(regex)\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, re.Match | None]]:\n        \"\"\"\n        Extract the string using the regular expression.\n        Specifically, the first match(if any) of the regex pattern in the input string is returned. \n\n        Args:\n            input_str: The input string.\n        Returns:\n            The remaining string and the extracted `re.Match` object, or `None` if the extraction failed.\n        \"\"\"\n        matched = self._regex.match(input_str)\n        if not matched:\n            return None\n        return input_str[matched.span()[1]:], matched\n\n    @property\n    def kbnf_definition(self) -> str:\n        return f\"{self.nonterminal} ::= #{repr(self._regex.pattern)};\"\n    \n\nclass RegexComplementExtractor(NonterminalExtractor):\n    \"\"\"\n    An extractor that extracts data by matching a regex complement.\n    \"\"\"\n\n    def __init__(self, regex: str, capture_name: str, nonterminal: str):\n        \"\"\"\n        Initialize the regex complement extractor.\n        \"\"\"\n        super().__init__(nonterminal, capture_name)\n        self._regex = re.compile(regex)\n\n    def extract(self, input_str: str) -> typing.Optional[tuple[str, str]]:\n        \"\"\"\n        Extract the data by matching a regex complement.\n\n        Specifically, the string until the first character in the first match of the regex is extracted if there is a match,\n        or the entire string is extracted if there is no match.\n        \"\"\"\n        matched = self._regex.search(input_str)\n        if not matched:\n            return \"\", input_str\n        return input_str[matched.span()[0]:], input_str[:matched.span()[0]]\n\n    @property\n    def kbnf_definition(self) -> str:\n        return f\"{self.nonterminal} ::= #ex{repr(self._regex.pattern)};\""
  },
  {
    "path": "src/formatron/formats/utils.py",
    "content": "VALID_IDENTIFIER_CHARACTERS = \"0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ_\"\n\ndef escape_identifier(s: str) -> str:\n    \"\"\"\n    For each character in the string, if it is a valid kbnf identifier character,\n    add it to the result. Otherwise, add its Unicode code point to the result.\n\n    Args:\n        s: The string to escape.\n\n    Returns:\n        The escaped string.\n\n    Examples:\n        >>> escape_identifier(\"hello\")\n        \"hello\"\n        >>> escape_identifier(\"hello_world\")\n        \"hello_world\"\n        >>> escape_identifier(\"hello world\")\n        \"hellou20world\"\n    \"\"\"\n    result = []\n    for c in s:\n        if c in VALID_IDENTIFIER_CHARACTERS:\n            result.append(c)\n        else:\n            result.append(f\"u{ord(c):x}\")\n    return \"\".join(result)"
  },
  {
    "path": "src/formatron/formatter.py",
    "content": "\"\"\"\nThis module contains the Formatter class and its related classes.\n\"\"\"\nimport abc\nimport collections\nfrom json import JSONDecodeError\nimport json\nimport re\nimport textwrap\nimport typing\nfrom copy import copy\nimport kbnf\nfrom formatron.formats.json import JsonExtractor\nfrom formatron.schemas.schema import Schema\nfrom formatron.extractor import Extractor, LiteralExtractor, NonterminalExtractor, ChoiceExtractor, SubstringExtractor\nfrom formatron.formats.regex import RegexComplementExtractor, RegexExtractor\n\n\n\nclass FormatterBase(abc.ABC):\n    \"\"\"\n    An abstract Formatter that enforces a format on the string generated by a language model. \n    \"\"\"\n\n    @abc.abstractmethod\n    def accept_token(self, token_id: int):\n        \"\"\"\n        Accept a token from the language model.\n        Args:\n            token_id: The token ID.\n        Returns:\n            The result of accepting the token.\n        \"\"\"\n\n    @abc.abstractmethod\n    def accept_bytes(self, _bytes: bytes)->None:\n        \"\"\"\n        Accept a bytes object from the language model.\n        Args:\n            _bytes: The bytes object.\n        \"\"\"\n\n    @abc.abstractmethod\n    def compute_allowed_tokens(self) -> None:\n        \"\"\"\n        Compute the allowed tokens based on the current state.\n        \"\"\"\n\n    @abc.abstractmethod\n    def mask_logits(self, logits) -> typing.Any:\n        \"\"\"\n        Mask the logits based on the current state.\n        Args:\n            logits: The logits to mask.\n        Returns:\n            The masked logits.\n        \"\"\"\n\n    @abc.abstractmethod\n    def get_allowed_tokens_since_last_computation(self) -> typing.Sequence[int]:\n        \"\"\"\n        Get the allowed tokens since the last computation(in other words, the last call to `compute_allowed_tokens`).\n        Returns:\n            The allowed tokens.\n        \"\"\"\n\n    @abc.abstractmethod\n    def is_completed(self) -> bool:\n        \"\"\"\n        Check if the generated string satisfies the format and hence the generation is completed.\n        \"\"\"\n\n    @abc.abstractmethod\n    def _on_completion(self, generated_output: str) -> None:\n        \"\"\"\n        Perform actions when the generation is completed.\n        \"\"\"\n\n    @property\n    @abc.abstractmethod\n    def captures(self) -> dict[str, typing.Any|None]:\n        \"\"\"\n        Get the captures from the generated string. \n        \"\"\"\n\n    @abc.abstractmethod\n    def reset(self) -> None:\n        \"\"\"\n        Reset the formatter to the initial state.\n        \"\"\"\n\n\nclass Formatter(FormatterBase):\n    \"\"\"\n    A Formatter that enforces a format on the string generated by a language model. It is designed to compose\n    multiple extractors in a sequential, unambiguous, greedy manner. Check out the Formatter.captures property docs for more details.\n    If you need more complex extraction logic, you need to implement your own Extractor.\n    \"\"\"\n\n    def __init__(self, extractors: list[Extractor], engine: kbnf.Engine,\n                 decode_callback: typing.Callable[[list[int]], str], grammar_str: str):\n        \"\"\"\n        Initialize the formatter.\n        Args:\n            extractors: The matchers to extract data from the generated string.\n            engine: The KBNF engine to enforce the format.\n            decode_callback: The callback to decode the token IDs to a string.\n            grammar_str: The KBNF grammar string.\n        \"\"\"\n        self._extractors = extractors\n        self._engine = engine\n        self._token_id_or_bytes = []\n        self._decode_callback = decode_callback\n        self._grammar_str = grammar_str\n        self._captures = {}\n\n    @property\n    def grammar_str(self):\n        \"\"\"\n        Get the KBNF grammar string.\n        \"\"\"\n        return self._grammar_str\n\n    def accept_token(self, token_id: int)->kbnf.AcceptTokenResult:\n        result = self._engine.try_accept_new_token(token_id)\n        self._token_id_or_bytes.append(token_id)\n        if result == kbnf.AcceptTokenResult.Finished:\n            output = self._obtain_accepted_output()\n            self._on_completion(output)\n        return result\n    \n    def _obtain_accepted_output(self)->str:\n        buffer = []\n        output = \"\"\n        last_type = None\n        def decode_buffer(buffer_type: type, buffer_content: list):\n            if buffer_type not in (int, bytes):\n                try:\n                    buffer_content = [int(item) for item in buffer_content]\n                    buffer_type = int\n                except ValueError:\n                    assert False, f\"Invalid type: {buffer_type}. Unable to convert to int.\"\n            if buffer_type is int:\n                return self._decode_callback(buffer_content)\n            elif buffer_type is bytes:\n                return b\"\".join(buffer_content).decode()\n\n        for element in self._token_id_or_bytes:\n            if last_type is None:\n                last_type = type(element)\n            elif last_type != type(element):\n                output += decode_buffer(last_type, buffer)\n                buffer.clear()\n                last_type = type(element)\n            buffer.append(element)\n        \n        if buffer:\n            output += decode_buffer(last_type, buffer)\n        return output\n\n    def accept_bytes(self, _bytes: bytes)->kbnf.AcceptTokenResult:\n        result = self._engine.try_accept_new_bytes(_bytes)\n        self._token_id_or_bytes.append(_bytes)\n        if result == kbnf.AcceptTokenResult.Finished:\n            output = self._obtain_accepted_output()\n            self._on_completion(output)\n        return result\n\n    def compute_allowed_tokens(self) -> None:\n        self._engine.compute_allowed_token_ids()\n\n    def mask_logits(self, logits) -> typing.Any:\n        return self._engine.mask_logits(logits)\n\n    def get_allowed_tokens_since_last_computation(self) -> typing.Sequence[int]:\n        return self._engine.get_allowed_token_ids_from_last_computation()\n\n    def is_completed(self) -> bool:\n        \"\"\"\n        Check if the generation is completed. This means the generation is ended by the engine.\n        If the generation is ended by integration-specific stop conditions like `max_new_tokens`,\n        the generation is not considered completed by this method.\n        \"\"\"\n        return self._engine.is_finished()\n\n    def _on_completion(self, generated_output: str) -> None:\n        for matcher in self._extractors:\n            result = matcher.extract(generated_output)\n            if result is None:\n                captured = None\n            else:\n                generated_output, captured = matcher.extract(generated_output)\n            if matcher.capture_name:\n                if matcher.capture_name in self._captures:\n                    self._captures[matcher.capture_name] = [\n                        self._captures[matcher.capture_name]]\n                    self._captures[matcher.capture_name].append(captured)\n                else:\n                    self._captures[matcher.capture_name] = captured\n\n    @property\n    def captures(self) -> dict[str, typing.Any] | None:\n        \"\"\"\n        Get the captures from the generated string. Note that the captures are only available for one extractor if:\n        - The extractor has a capture name.\n        - Formatter.is_completed() returns True.\n        - The extractor successfully extracts the data.\n          - This means the extractor identifies the correct string span to extract and whatever post-processing the extractor does on the extracted string is successful.\n        \n        Captures are obtained by calling `Extractor.extract` method on the generated string in the sequence of extractors appended to the formatter.\n        Note that the previous extractors does not 'see' the semantics of the later extractors. For example,\n        consider the following formatter:\n        ```python\n        f = FormatterBuilder()\n        f.append_line(f\"{f.regex('.*?', capture_name='a')}{f.regex('.*', capture_name='b')}\")\n        f = f.build()\n        ```\n        The `b` extractor will always corresponding to `None` because the `a` extractor will always extract the whole string.\n        This behavior is different from what a typical regular expression engine would do! \n        \"\"\"\n        return self._captures\n\n    def reset(self) -> None:\n        self._captures.clear()\n        self._engine.reset()\n        self._token_id_or_bytes.clear()\n\n    def __str__(self):\n        return (f\"Formatter(engine={self._engine}, \"\n                f\"captures={self._captures}, \"\n                f\"extractors={len(self._extractors)}, \"\n                f\"completed={self.is_completed()}, \"\n                f\"token_ids={len(self._token_id_or_bytes)})\"\n                f\"grammar={self._grammar_str})\")\n\n\nclass FormatterBuilder:\n    \"\"\"\n    A builder for creating a Formatter.\n    \"\"\"\n    _formatter_builder_counter = 0\n\n    def __init__(self):\n        \"\"\"\n        Initialize the formatter builder.\n        \"\"\"\n        self._counter = 0\n        self._main_rule = []\n        self._rules = []\n        self._capture_names = set()\n        self._nonterminal_to_extractor = {}\n        self._extractors = []\n        self._instance_id = self.__class__._formatter_builder_counter\n        self.__class__._formatter_builder_counter += 1\n\n\n    def _assert_capture_name_valid(self, capture_name: str):\n        assert capture_name.isidentifier(), (f\"capture_name {capture_name}\"\n                                             f\" should only contains alphanumeric characters, \"\n                                             f\"underscores, and does not start with digits!\")\n        assert capture_name not in self._capture_names, f\"capture_name {capture_name} is duplicated!\"\n\n    def append_line(self, line: str) -> None:\n        \"\"\"\n        Append a line to the format. Specifically, a newline character is appended to the input.\n\n        Note that if you need a literal `$`, you need to escape it by adding a backslash: `\\\\$`.\n        \"\"\"\n        self.append_str(line + '\\n')\n\n    def append_multiline_str(self, lines: str) -> None:\n        \"\"\"\n        Appends a multiline string to the format, preserving the first line's leading whitespaces\n        and remove any common leading whitespaces from subsequent lines.\n\n        Note that tabs and spaces are both treated as whitespace, but they are not equal:\n        the lines \" hello\" and \"\\\\thello\" are considered to have no common leading whitespace.\n\n        Entirely blank lines are normalized to a newline character.\n\n        Note that if you need a literal `$`, you need to escape it by adding a backslash: `\\\\$`.\n        \"\"\"\n        first = lines.find('\\n')\n        self.append_str(lines[:first + 1] + textwrap.dedent(lines[first + 1:]))\n\n    def append_str(self, string: str) -> None:\n        \"\"\"\n        Append a string to the format without any post-processing.\n\n        Note that if you need a literal `$`, you need to escape it by adding a backslash: `\\\\$`.\n        \"\"\"\n        state = \"normal\"\n        last = 0\n\n        def append_literal(end):\n            if last < end:\n                literal = string[last:end]\n                self._main_rule.append(repr(literal))\n                self._extractors.append(LiteralExtractor(literal))\n\n        for i, char in enumerate(string):\n            if char == \"$\":\n                if state != \"escaped\":\n                    state = \"dollar\"\n                else:\n                    state = \"normal\"\n            elif state == \"dollar\":\n                if char == \"{\":\n                    append_literal(i - 1)\n                    last = i + 1\n                    state = \"left_bracket\"\n                else:\n                    state = \"normal\"\n            elif state == \"left_bracket\":\n                if char == \"}\":\n                    state = \"normal\"\n                    self._main_rule.append(string[last:i])\n                    self._extractors.append(\n                        self._nonterminal_to_extractor[string[last:i]])\n                    last = i + 1\n            elif char == \"\\\\\":\n                state = \"escaped\"\n            else:\n                state = \"normal\"\n        append_literal(len(string))\n\n    def _create_nonterminal(self, name: str) -> str:\n        nonterminal = f\"__{name}_{self._counter}_{self._instance_id}\"\n        self._counter += 1\n        return nonterminal\n\n    def _add_capture_name(self, extractor: NonterminalExtractor) -> None:\n        if extractor.capture_name is None:\n            return None\n        self._assert_capture_name_valid(extractor.capture_name)\n        self._capture_names.add(extractor.capture_name)\n\n    def choose(self, *extractors: Extractor | str, capture_name: str = None) -> ChoiceExtractor:\n        \"\"\"\n        Create a choice extractor.\n\n        Check out the ChoiceExtractor docs for more details.\n        Args:\n            extractors: The extractors to choose from.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n        Returns:\n            The choice extractor.\n        \"\"\"\n        new_extractors = []\n        for extractor in extractors:\n            if isinstance(extractor, str):\n                new_extractors.append(LiteralExtractor(extractor))\n            else:\n                new_extractors.append(extractor)\n        return self._add_extractor(\"choice\",\n                                   lambda nonterminal: ChoiceExtractor(new_extractors, capture_name, nonterminal))\n\n    def _add_extractor(self, extractor_type: str, create_extractor: typing.Callable[[str], Extractor]):\n        nonterminal = self._create_nonterminal(extractor_type)\n        extractor = create_extractor(nonterminal)\n        if isinstance(extractor, NonterminalExtractor):\n            self._add_capture_name(extractor)\n            nonterminal = extractor.nonterminal\n        self._nonterminal_to_extractor[nonterminal] = extractor\n        self._rules.append(extractor.kbnf_definition)\n        return extractor\n\n    def extractor(self, create_extractor: typing.Callable[[str], Extractor]) -> Extractor:\n        \"\"\"\n        Create a custom extractor.\n\n        Args:\n            create_extractor: callable with signature (extractor_nonterminal: str)->Extractor that create the extractor. extractor_nonterminal is the auto-generated nonterminal reference for the extractor.\n        \"\"\"\n        return self._add_extractor(\"extractor\", create_extractor)\n\n    def json(self, schema: typing.Type[Schema]|collections.abc.Sequence, *, capture_name: str = None) -> JsonExtractor:\n        \"\"\"\n        Create a JSON extractor. Check out the JsonExtractor docs for more details.\n\n        Args:\n            schema: The schema for extraction.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n        Returns:\n            The JSON extractor.\n        \"\"\"\n        def to_json(_json: str):\n            local_schema = schema\n            origin = typing.get_origin(local_schema)\n            if origin is not None:\n                local_schema = origin\n            if isinstance(local_schema, type) and issubclass(local_schema, Schema):\n                try:\n                    return local_schema.from_json(_json)\n                except JSONDecodeError:  # make ChoiceExtractor work appropriately\n                    return None\n            else:\n                try:\n                    return json.loads(_json)\n                except JSONDecodeError:\n                    return None\n        return self._add_extractor(\"json\",\n                                   lambda nonterminal: JsonExtractor(nonterminal, capture_name,schema, to_json))\n\n    def regex(self, regex: str, *, capture_name: str = None) -> RegexExtractor:\n        \"\"\"\n        Create a regex extractor.\n\n        Check out the RegexExtractor docs for more details.\n\n        Args:\n            regex: The regular expression for extraction.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n        Returns:\n            The regex extractor.\n        \"\"\"\n        return self._add_extractor(\"regex\",\n                                   lambda nonterminal: RegexExtractor(regex, capture_name, nonterminal))\n    \n    def regex_complement(self, regex: str, *, capture_name: str = None) -> RegexComplementExtractor:\n        \"\"\"\n        Create a regex complement extractor. This is roughly equivalent to 'extract a string that does not match the given regex anywhere'.\n\n        Check out the RegexComplementExtractor docs for more details.\n\n        Args:\n            regex: The regular expression for extraction.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n        Returns:\n            The regex complement extractor.\n        \"\"\"\n        return self._add_extractor(\"regex_complement\",\n                                   lambda nonterminal: RegexComplementExtractor(regex, capture_name, nonterminal))\n\n    def str(self, *, stop: typing.Union[str, list[str]] = None,\n            capture_name: typing.Optional[str] = None) -> Extractor:\n        \"\"\"\n        Create a string extractor.\n\n        The extractor will extract all text until(inclusive) one of the stop strings is encountered. \n\n        Args:\n            stop: The strings for the extractors to stop at. They will be included in text generation and extraction.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n        Returns:\n            The string extractor.\n        \"\"\"\n        stop = [stop] if isinstance(stop, str) else stop or []\n        if not stop:\n            capture_regex = \".*\"\n        else:\n            backslash = '\\\\'\n            capture_regex = f\".*?(?:{'|'.join([re.escape(i.replace(backslash, backslash * 2)) for i in stop])})\"\n        return self._add_extractor(\"str\",\n                                   lambda nonterminal: RegexExtractor(capture_regex, capture_name, nonterminal))\n    \n    def substr(self, string: str, *, capture_name: str = None, extract_empty_substring: bool = False) -> Extractor:\n        \"\"\"\n        Create a substring extractor.\n\n        The extractor will extract a substring of the input string.\n\n        Args:\n            string: The string to extract.\n            capture_name: The capture name of the extractor, or `None` if the extractor does not capture.\n            extract_empty_substring: Whether to extract an empty substring as a valid substring.\n        Returns:\n            The substring extractor.\n        \"\"\"\n        return self._add_extractor(\"substr\",\n                                   lambda nonterminal: SubstringExtractor(string, capture_name, nonterminal,\n                                                                           extract_empty_substring=extract_empty_substring))\n\n    \n\n    def build(self, vocabulary: kbnf.Vocabulary,\n              decode: typing.Callable[[list[int]], str],\n              engine_config: kbnf.Config = None) -> Formatter:\n        \"\"\"\n        Build a formatter from the builder. The builder will not be consumed and can be used again.\n\n        Args:\n            vocabulary: The KBNF engine vocabulary for the formatter.\n            decode: The callback to decode the token IDs to a string.\n            engine_config: The KBNF engine configuration.\n        Returns:\n            The formatter.\n        \"\"\"\n        assert len(\n            self._main_rule) != 0, \"An empty formatter builder cannot build!\"\n        rules = copy(self._rules)\n        rules.append(f\"start ::= {' '.join(self._main_rule)};\")\n        grammar_str = \"\\n\".join(rules)\n        # print(grammar_str)\n        engine = kbnf.Engine(grammar_str, vocabulary, engine_config)\n        extractors = copy(self._extractors)\n        f = Formatter(extractors, engine, decode, grammar_str)\n        return f\n"
  },
  {
    "path": "src/formatron/integrations/RWKV.py",
    "content": "\"\"\"\nThis module integrates the RWKV library by providing convenience utilities.\n\"\"\"\nimport kbnf\nimport rwkv.utils\nfrom kbnf import Token\n\nfrom formatron.config import EngineGenerationConfig\nfrom formatron.formatter import FormatterBuilder\n\n__all__ = [\"create_engine_vocabulary\", \"PIPELINE\", \"PIPELINE_ARGS\"]\nclass PIPELINE_ARGS(rwkv.utils.PIPELINE_ARGS):\n    \"\"\"\n    A wrapper for the arguments of the pipeline of RWKV.\n    \"\"\"\n\n    def __init__(self,\n                 temperature=1.0,\n                 top_p=0.2,\n                 top_k=0,\n                 alpha_frequency=0.2,\n                 alpha_presence=0.2,\n                 alpha_decay=0.996,\n                 token_ban=[],\n                 token_stop=[],\n                 chunk_len=256,\n                 engine_gen_config=EngineGenerationConfig()):\n        super().__init__(temperature, top_p, top_k, alpha_frequency, alpha_presence, alpha_decay, token_ban, token_stop,\n                         chunk_len)\n        self.engine_gen_config = engine_gen_config\n\n\ndef create_engine_vocabulary(WORD_NAME: str, tokenizer) -> kbnf.Vocabulary:  # NOSONAR\n    \"\"\"\n    Create a vocabulary for the KBNF engine.\n    \"\"\"\n    assert WORD_NAME == 'rwkv_vocab_v20230424', \"Only world vocabulary is supported!\"\n    return kbnf.Vocabulary({k: Token(v) for k, v in tokenizer.idx2token.items()},\n                           {k: v.decode(\"UTF-8\", errors=\"replace\") for k, v in\n                            tokenizer.idx2token.items()})\n\n\nclass PIPELINE(rwkv.utils.PIPELINE):  # NOSONAR\n    \"\"\"\n    A wrapper for the pipeline of RWKV.\n    \"\"\"\n\n    def __init__(self, model, WORD_NAME, formatter_builder: FormatterBuilder = None):  # NOSONAR\n        super().__init__(model, WORD_NAME)\n        vocabulary = create_engine_vocabulary(WORD_NAME, self.tokenizer)\n        formatter = formatter_builder.build(vocabulary, lambda tokens: self.tokenizer.decode(tokens))\n        if formatter is not None:\n            self.formatter = formatter\n        else:\n            self.formatter = None\n\n    def generate(self, ctx, token_count=100, args=PIPELINE_ARGS(), callback=None, state=None):\n        all_tokens = []\n        out_last = 0\n        out_str = ''\n        occurrence = {}\n        if args.engine_gen_config.reset_at_beginning and self.formatter and self.formatter.is_completed():\n            self.formatter.reset()\n        for i in range(token_count):\n            # forward & adjust prob.\n            tokens = self.encode(ctx) if i == 0 else [token]\n            if self.formatter is not None:\n                if i == 0 and args.engine_gen_config.read_prompt:\n                    for token in tokens:\n                        self.formatter.accept_token(token)\n            while len(tokens) > 0:\n                out, state = self.model.forward(tokens[:args.chunk_len], state)\n                tokens = tokens[args.chunk_len:]\n            if self.formatter and self.formatter.is_completed():\n                break\n            for n in args.token_ban:\n                out[n] = -float('inf')\n            for n in occurrence:\n                out[n] -= (args.alpha_presence + occurrence[n] * args.alpha_frequency)\n            if self.formatter is not None:\n                formatter = self.formatter\n                formatter.compute_allowed_tokens()\n                out = out[:len(self.tokenizer.idx2token) + 1]  # account for the padding `0` token\n                out = formatter.mask_logits(out)\n            # sampler\n            token = self.sample_logits(out, temperature=args.temperature, top_p=args.top_p, top_k=args.top_k)\n            if self.formatter:\n                self.formatter.accept_token(token)\n            if token in args.token_stop:\n                break\n            all_tokens += [token]\n            for xxx in occurrence:\n                occurrence[xxx] *= args.alpha_decay\n\n            ttt = self.decode([token])\n            www = 1\n            if ttt in ' \\t0123456789':\n                www = 0\n            if token not in occurrence:\n                occurrence[token] = www\n            else:\n                occurrence[token] += www\n            # print(occurrence) # debug\n\n            # output\n            tmp = self.decode(all_tokens[out_last:])\n            if '\\ufffd' not in tmp:  # is valid utf-8 string?\n                if callback:\n                    callback(tmp)\n                out_str += tmp\n                out_last = i + 1\n            if self.formatter and self.formatter.is_completed():\n                break\n        return out_str\n"
  },
  {
    "path": "src/formatron/integrations/__init__.py",
    "content": "\"\"\"\nThis subpackage contains integrations with other frameworks and libraries.\n\"\"\""
  },
  {
    "path": "src/formatron/integrations/exllamav2.py",
    "content": "\"\"\"\nThis module integrates the ExLlamaV2 library by providing convenience utilities.\n\"\"\"\nimport typing\nfrom copy import copy, deepcopy\nimport kbnf\nimport torch\nfrom exllamav2 import ExLlamaV2Tokenizer, ExLlamaV2\nfrom exllamav2.generator.base import ExLlamaV2Filter\nfrom formatron.config import EngineGenerationConfig\nfrom formatron.formatter import FormatterBase, FormatterBuilder\nfrom formatron.integrations.utils import get_original_characters, default_mask_logits_fn, get_bit_mask\n\n\n__all__ = [\"create_engine_vocabulary\", \"create_formatter_filter\", \"FormatterFilter\"]\ndef create_engine_vocabulary(tokenizer: ExLlamaV2Tokenizer,\n                             vocab_processors: typing.Optional[list[typing.Callable]] = None) -> kbnf.Vocabulary:\n    \"\"\"\n    Create a vocabulary for the KBNF engine.\n    Args:\n        tokenizer: The tokenizer.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    assert hasattr(tokenizer.tokenizer_model, \"vocab\"), (f\"tokenizer({tokenizer})\"\n                                                         f\" with tokenizer_model({tokenizer.tokenizer_model})\"\n                                                         f\" does not have vocab attribute!\")\n    vocab = {tokenizer.tokenizer_model.id_to_piece(\n        i): i for i in range(tokenizer.tokenizer_model.vocab_size())}\n    new_vocab = get_original_characters(vocab, vocab_processors)\n    return kbnf.Vocabulary({k: kbnf.Token(v) for k, v in new_vocab.items()},\n                           {v: k for k, v in vocab.items()})\n\n\ndef create_formatter_filter(model: ExLlamaV2, tokenizer: ExLlamaV2Tokenizer,\n                            formatter_builder: FormatterBuilder,\n                            engine_config: EngineGenerationConfig = None,\n                            vocab_processors: typing.Optional[list[typing.Callable]] = None) -> ExLlamaV2Filter:\n    \"\"\"\n    Create a formatter filter for the ExLlamaV2 engine.\n    Args:\n        model: The ExLlamaV2 model.\n        tokenizer: The ExLlamaV2 tokenizer.\n        formatter_builder: The formatter builder.\n        engine_config: The engine generation configuration.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    vocab = create_engine_vocabulary(tokenizer, vocab_processors)\n    f = formatter_builder.build(\n        vocab, lambda tokens: tokenizer.decode(torch.tensor(tokens)))\n    return FormatterFilter(model, tokenizer, f, engine_config)\n\n\nclass FormatterFilter(ExLlamaV2Filter):\n    \"\"\"\n    ExLlamaV2Filter that uses a formatter to mask logits.\n    \"\"\"\n\n    def __init__(self, model, tokenizer, formatter: FormatterBase,\n                 config: EngineGenerationConfig|None = None):\n        super().__init__(model, tokenizer)\n        self._formatter = formatter\n        if config is None:\n            config = EngineGenerationConfig()\n        self._config = config\n        self._pass_tokens = set()\n        self.eos_logits = None\n        self._mask_logits_fn = default_mask_logits_fn\n        self._bit_mask = None\n\n    def is_completed(self) -> bool:\n        \"\"\"\n        Check if the formatter is completed.\n        \"\"\"\n        return self._formatter.is_completed()\n\n    def clone(self, c=None) -> \"FormatterFilter\":\n        if c is None:\n            c = FormatterFilter.__new__(FormatterFilter)\n        c.model = self.model\n        c.tokenizer = self.tokenizer\n        c.sequence_str = self.sequence_str\n        # formatter does not have mutable public state anyway\n        c._formatter = copy(self._formatter)\n        c._config = deepcopy(self._config)\n        c._pass_tokens = self._pass_tokens\n        return c\n\n    def begin(self, prefix_str: str) -> None:\n        if self._config.reset_at_beginning:\n            self._formatter.reset()\n        if self._config.read_prompt:\n            prompt = prefix_str.encode(\"utf-8\")\n            self._formatter.accept_bytes(prompt)\n\n    def reset(self) -> None:\n        self._formatter.reset()\n\n    def feed(self, token: int):\n        if self._formatter.is_completed():\n            return None\n        self._formatter.accept_token(token)\n\n    # adapted from https://github.com/Dan-wanna-M/formatron/issues/14\n    # Old version for compatibility\n    def next_set(self) -> typing.Tuple[typing.Set[int], typing.Set[int]]:\n        if self._formatter.is_completed():\n            return {self.tokenizer.eos_token_id}, {self.tokenizer.eos_token_id}\n        self._formatter.compute_allowed_tokens()\n        self._pass_tokens.clear()\n        self._pass_tokens.update(self._formatter.get_allowed_tokens_since_last_computation())\n        return self._pass_tokens, set()\n\n    # adapted from https://github.com/Dan-wanna-M/formatron/issues/14\n    def next(self) -> typing.Tuple[typing.Sequence[int], typing.Sequence[int]]:\n        # Kludge to maintain compatibility with exllamav2 <= 0.2.0\n        if not hasattr(self, \"allow_return_type_list\"):\n            return self.next_set()\n        if self._formatter.is_completed():\n            return [self.tokenizer.eos_token_id], [self.tokenizer.eos_token_id]\n        self._formatter.compute_allowed_tokens()\n        return self._formatter.get_allowed_tokens_since_last_computation(), []\n    \n    # adapted from https://github.com/Dan-wanna-M/formatron/issues/14\n    def use_background_worker(self) -> bool:\n        return True\n\n    # Used by ExLlamaV2 > 0.2.3\n    def can_mask_logits(self) -> bool:\n        return True\n\n    def prepare_logit_mask(self):\n        self._formatter.compute_allowed_tokens()\n        return True\n\n    def mask_logits(self, logits: torch.Tensor) -> torch.Tensor:\n        if self._bit_mask is None:\n            self._bit_mask = get_bit_mask(logits)\n        if self._formatter.is_completed():\n            if self.eos_logits is None:\n                self.eos_logits = torch.full_like(logits, float(\"-inf\"))\n                self.eos_logits[self.tokenizer.eos_token_id] = 0\n            return self.eos_logits\n        return self._mask_logits_fn(self._bit_mask, self._formatter, logits)\n\n    @property\n    def formatter_captures(self) -> dict[str, typing.Any]:\n        \"\"\"\n        Get the captures of the formatter.\n        \"\"\"\n        return self._formatter.captures\n"
  },
  {
    "path": "src/formatron/integrations/transformers.py",
    "content": "\"\"\"\nThis module integrates the transformers library by providing convenience utilities.\n\"\"\"\nimport collections\nimport typing\nimport torch\nimport kbnf\nfrom transformers import LogitsProcessor, PreTrainedTokenizerBase, LogitsProcessorList\n\nfrom formatron.config import EngineGenerationConfig\nfrom formatron.formatter import FormatterBuilder, FormatterBase\nfrom formatron.integrations.utils import get_original_characters\n\n__all__ = [\"create_engine_vocabulary\", \"create_formatter_logits_processor\", \"create_formatter_logits_processor_list\", \"FormattersLogitsProcessor\"]\n\ndef create_engine_vocabulary(tokenizer: PreTrainedTokenizerBase,\n                             vocab_processors: typing.Optional[list[typing.Callable]] = None) -> kbnf.Vocabulary:\n    \"\"\"\n    Create a vocabulary for the KBNF engine.\n    Args:\n        tokenizer: The tokenizer.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    vocab = tokenizer.get_vocab()\n    new_vocab = get_original_characters(vocab, vocab_processors)\n    return kbnf.Vocabulary({k: kbnf.Token(v) for k, v in new_vocab.items()},\n                           {v: k for k, v in vocab.items()})\n\n\ndef create_formatter_logits_processor(tokenizer: PreTrainedTokenizerBase,\n                                      formatter_builders: typing.Sequence[FormatterBuilder | None] | FormatterBuilder,\n                                      configs: typing.Sequence[EngineGenerationConfig] = None,\n                                      vocab_processors: typing.Optional[list[typing.Callable]] = None) -> LogitsProcessor:\n    \"\"\"\n    Create a formatter logits processor.\n    Args:\n        tokenizer: The tokenizer.\n        formatter_builders: The formatter builders.\n        configs: The engine generation configurations.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    vocab = create_engine_vocabulary(tokenizer, vocab_processors)\n    if not isinstance(formatter_builders, collections.abc.Sequence):\n        formatter_builders = [formatter_builders]\n    formatters = [i.build(vocab, lambda tokens: tokenizer.decode(tokens)) if i is not None else None\n                  for i in formatter_builders]\n    return FormattersLogitsProcessor(formatters, tokenizer.eos_token_id, configs)\n\n\ndef create_formatter_logits_processor_list(tokenizer: PreTrainedTokenizerBase,\n                                           formatter_builders: typing.Sequence[FormatterBuilder | None] | FormatterBuilder,\n                                           configs: typing.Sequence[EngineGenerationConfig] = None,\n                                           vocab_processors: typing.Optional[list[typing.Callable]] = None) \\\n        -> LogitsProcessorList:\n    \"\"\"\n    Create a formatter logits processor list.\n    Args:\n        tokenizer: The tokenizer.\n        formatter_builders: The formatter builders.\n        configs: The engine generation configurations.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    return LogitsProcessorList([create_formatter_logits_processor(tokenizer,\n                                                                  formatter_builders, configs, vocab_processors)])\n\n\nclass FormattersLogitsProcessor(LogitsProcessor):\n    \"\"\"\n    Logit processor that uses formatters to mask batch logits.\n    \"\"\"\n\n    def __init__(self, formatters: typing.Sequence[FormatterBase | None], eos_token_id: int,\n                 configs: typing.Sequence[EngineGenerationConfig] | None = None):\n        self._formatters = formatters\n        self._eos_token_id = eos_token_id\n        self._last_input_id_length = None\n        if configs is None:\n            configs = [EngineGenerationConfig() for _ in formatters]\n        assert len(configs) == len(formatters), \\\n            f\"Number of formatters({len(formatters)}) must match number of configs({len(configs)})\"\n        self.configs = configs\n        self._mask_logits_fn = FormattersLogitsProcessor._get_fastest_compatible_logits_mask_fn()\n    \n    @staticmethod\n    def _get_fastest_compatible_logits_mask_fn():\n        def default_mask_logits_fn(bit_masks, formatter, scores, i):\n            scores[i, :] = formatter.mask_logits(scores[i, :])\n        try:\n            from kbnf.triton_logits_mask import mask_logits_inplace\n            def fast_mask_logits_fn(bit_masks, formatter, scores, i):\n                mask_logits_inplace(scores[i, :], bit_masks[i, :], [formatter._engine])\n            return fast_mask_logits_fn\n        except ImportError:\n            return default_mask_logits_fn\n\n    def reset(self) -> None:\n        self._last_input_id_length = None\n        for f in self._formatters:\n            if f is not None:\n                f.reset()\n\n    @property\n    def formatters_captures(self) -> list[dict[str, typing.Any] | None]:\n        \"\"\"\n        Get the captures of the formatters. Each element in the list corresponds to the\n        captures of the formatter at the same index. If the formatter is None, the element\n        is None.\n        \"\"\"\n        return [f.captures if f is not None else None for f in self._formatters]\n\n    def is_completed(self) -> list[bool | None]:\n        \"\"\"\n        Check if the formatters are completed. Each boolean in the list corresponds to the\n        completion status of the formatter at the same index. If the formatter is None,\n        the element is None.\n        \"\"\"\n        return [f.is_completed() if f is not None else None for f in self._formatters]\n\n    def __call__(self, input_ids, scores):\n        assert input_ids.shape[0] == len(self._formatters), (f\"Number of formatters({len(self._formatters)})\"\n                                                             f\" must match batch size({input_ids.shape[0]})\")\n        if self._last_input_id_length is None:  # First iteration\n            self._last_input_id_length = input_ids.shape[1]\n            for formatter, config, prompt in zip(self._formatters, self.configs, input_ids):\n                if formatter is None:\n                    continue\n                if config.reset_at_beginning:\n                    formatter.reset()\n                if config.read_prompt:\n                    for token in prompt:\n                        formatter.accept_token(token)\n            self._bit_masks = torch.empty((scores.shape[0],\n                                            (scores.shape[1]+31)//32), dtype=torch.int32, device='cpu', pin_memory=True)\n        else:\n            assert input_ids.shape[1] == self._last_input_id_length + 1, (\"One iteration in generation loop\"\n                                                                          \" must add exactly one token.\")\n            self._last_input_id_length += 1\n            for formatter, input_id in zip(self._formatters, input_ids[:, -1]):\n                if  formatter is not None and not formatter.is_completed():\n                    formatter.accept_token(input_id)\n        for i, formatter in enumerate(self._formatters):\n            if formatter is None:\n                continue\n            if formatter.is_completed():\n                scores[i, :] = float(\"-inf\")\n                scores[i, self._eos_token_id] = 0.0\n                continue\n            formatter.compute_allowed_tokens()\n            self._mask_logits_fn(self._bit_masks, formatter, scores, i)\n        return scores\n"
  },
  {
    "path": "src/formatron/integrations/utils.py",
    "content": "import re\nimport typing\nfrom functools import lru_cache\n\n__all__ = [\"get_original_characters\", \"update_vocab_0xHH\", \"update_vocab_sentencepiece\", \"update_vocab_dot_G\"]\n\ndef _multiple_replace(replacements: typing.Dict[bytes, bytes], regex: re.Pattern[bytes], text: bytes) -> bytes:\n    # For each match, look-up corresponding value in dictionary\n    return regex.sub(lambda mo: replacements[mo.group()], text)\ndef default_mask_logits_fn(bit_mask, formatter, logits):\n        return formatter.mask_logits(logits)\ndef get_fastest_compatible_logits_mask_fn():\n    try:\n        from kbnf.triton_logits_mask import mask_logits_inplace\n        def fast_mask_logits_fn(bit_mask, formatter, logits):\n            mask_logits_inplace(logits, bit_mask, [formatter._engine])\n            return logits\n        return fast_mask_logits_fn\n    except ImportError:\n        return default_mask_logits_fn\n\ndef get_bit_mask(logits):\n    import torch\n    return torch.empty(((logits.shape[-1]+31)//32), dtype=torch.int32, device='cpu', pin_memory=True)\n\ndef get_original_characters(vocab: typing.Dict[str, int],\n                            processors: typing.Optional[list[typing.Callable]] = None) -> typing.Dict[int, bytes]:\n    \"\"\"\n    Get a vocabulary of original characters unmangled to raw UTF-8 bytes by the provided processors.\n\n    Args:\n        vocab: The mangled vocabulary.\n        processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    old_char_to_new_char = {}\n    assert len(set(vocab.values())) == len(vocab), \"Vocabulary contains duplicate token IDs!\"\n    if processors is None:\n        processors = autodetect_processors(vocab)\n    for update_vocab in processors:\n        update_vocab(old_char_to_new_char)\n    # Create a regular expression from the dictionary keys with longest keys first to avoid conflicts\n    regex = re.compile(b\"(%s)\" % b\"|\".join(sorted(list(map(re.escape, old_char_to_new_char.keys())), key=lambda x: len(x), reverse=True)))\n    new_vocab = {}\n    for k in vocab:\n        token_id = vocab[k]\n        new_k = _multiple_replace(old_char_to_new_char, regex, k.encode(\"UTF-8\"))\n        new_vocab[token_id] = new_k\n    return new_vocab\n\n\ndef autodetect_processors(vocab: typing.Dict[str, int]) -> typing.List[typing.Callable]:\n    \"\"\"\n    Autodetect vocabulary processors.\n    \"\"\"\n    result = []\n    llama_present = any(i.find('<0xF0>') != -1 for i in vocab.keys())\n    underscore_present = (len([1 for i in vocab.keys() if i.find('\\u2581') != -1]) / len(vocab)) > 0.2\n    g_present = (len([1 for i in vocab.keys() if i.find('\\u0120') != -1]) / len(vocab)) > 0.2\n    if llama_present:\n        result.append(update_vocab_0xHH)\n    if underscore_present:\n        result.append(update_vocab_sentencepiece)\n    elif g_present:\n        result.append(update_vocab_dot_G)\n    return result\n\n\ndef update_vocab_0xHH(token_to_char: typing.Dict[bytes, bytes]):\n    \"\"\"\n    Vocabulary processor for <0xHH> tokens (used in llama tokenizers)\n    \"\"\"\n    for j in range(256):\n        token_to_char[(\"<0x\" + f\"{j:02x}\".upper() + \">\").encode(\"UTF-8\")] = bytes([j])\n\n\ndef update_vocab_sentencepiece(token_to_char: typing.Dict[bytes, bytes]):\n    \"\"\"\n    Vocabulary processor for ▁ token (used in sentencepiece tokenizers)\n    \"\"\"\n    token_to_char[\"\\u2581\".encode(\"UTF-8\")] = b\" \"\n\n\ndef update_vocab_dot_G(token_to_char: typing.Dict[bytes, bytes]):\n    \"\"\"\n    Vocabulary processor for GPT2 style token mangling, like from \\\\n to Ġ(used in huggingface bytelevel preprocessors)\n    \"\"\"\n    token_to_char.update(_huggingface_bytelevel_decoder())\n\n\n@lru_cache()\ndef _huggingface_bytelevel_decoder():\n    \"\"\"\n    I hate legacy code.\n    \"\"\"\n    bs = list(range(ord(\"!\"), ord(\"~\")+1))+list(range(ord(\"¡\"), ord(\"¬\")+1))+list(range(ord(\"®\"), ord(\"ÿ\")+1))\n    cs = bs[:]\n    n = 0\n    for b in range(2**8):\n        if b not in bs:\n            bs.append(b)\n            cs.append(2**8+n)\n            n += 1\n    cs = [chr(n).encode(\"UTF-8\") for n in cs]\n    for i in range(len(bs)):\n        bs[i] = bytes([bs[i]])\n    return dict(zip(cs, bs))\n"
  },
  {
    "path": "src/formatron/integrations/vllm.py",
    "content": "\"\"\"\nThis module integrates the vllm library by providing convenience utilities.\n\"\"\"\nimport collections.abc\nimport typing\nimport kbnf\nimport torch\nfrom vllm import LLM\nfrom formatron.config import EngineGenerationConfig\nfrom formatron.formatter import FormatterBase, FormatterBuilder\nfrom formatron.integrations.utils import get_original_characters, get_fastest_compatible_logits_mask_fn,get_bit_mask\nfrom vllm.transformers_utils.tokenizer import AnyTokenizer\n\n\nclass FormattersLogitsProcessor:\n    \"\"\"\n    Logit processor that uses formatters to mask batch logits.\n    \"\"\"\n\n    def __init__(self, formatters: typing.Sequence[FormatterBase | None], eos_token_id: int,\n                 configs: typing.Sequence[EngineGenerationConfig] | None = None):\n        self._formatters = formatters\n        self._eos_token_id = eos_token_id\n        self._last_input_id_length = 0\n        if configs is None:\n            configs = [EngineGenerationConfig() for _ in formatters]\n        assert len(configs) == len(formatters), \\\n            f\"Number of formatters({len(formatters)}) must match number of configs({len(configs)})\"\n        self._configs = configs\n        self._iter = zip(self._formatters, self._configs)\n        self._debug_counter = 0\n        self._mask_logits_fn = get_fastest_compatible_logits_mask_fn()\n        self._bit_masks = []\n\n    @property\n    def formatters_captures(self) -> list[dict[str, typing.Any] | None]:\n        return [f.captures if f is not None else None for f in self._formatters]\n\n    def is_completed(self) -> list[bool | None]:\n        \"\"\"\n        Check if the formatters are completed. Each boolean in the list corresponds to the\n        completion status of the formatter at the same index.\n        \"\"\"\n        return [f.is_completed() if f is not None else None for f in self._formatters]\n\n    def reset(self) -> None:\n        for f in self._formatters:\n            if f is not None:\n                f.reset()\n        self._to_next_batch_step()\n        self._last_input_id_length = 0\n        self._bit_masks.clear()\n\n    def _to_next_batch_step(self):\n        self._iter = zip(self._formatters, self._configs)\n        self._bit_mask_iter = iter(self._bit_masks)\n        self._debug_counter = 0\n\n    def __call__(self, prompt, generated_tokens, logits):\n        result = next(self._iter, None)\n        if result is None and len(generated_tokens) == self._last_input_id_length:\n            # We exhausted all formatters but still have sequences to process in this batch\n            raise ValueError(f\"Batch size {self._debug_counter} \"\n                             f\"is greater than number of formatters({len(self._formatters)})!\")\n        bit_mask = False\n        if len(generated_tokens) == 0:  # First iteration\n            self._debug_counter += 1\n            formatter, config = result\n            self._bit_masks.append(get_bit_mask(logits))\n            if formatter is None:\n                return logits\n            if config.reset_at_beginning and formatter.is_completed():\n                formatter.reset()\n            if config.read_prompt:\n                for token in prompt:\n                    formatter.accept_token(token)\n            bit_mask = self._bit_masks[-1]\n        elif len(generated_tokens) == self._last_input_id_length + 1:  # to next batch step\n            assert result is None, (f\"Batch size {self._debug_counter} \"\n                                    f\"is less than number of formatters({len(self._formatters)})!\")\n            self._to_next_batch_step()\n            result = next(self._iter)\n            self._last_input_id_length += 1\n        if bit_mask is False:\n            bit_mask = next(self._bit_mask_iter)\n        formatter, _ = result\n        if formatter is None:\n            return logits\n        while formatter.is_completed():\n            if generated_tokens[-1] == self._eos_token_id:\n                return logits\n            formatter, _ = next(self._iter)\n            if formatter is None:\n                return logits\n        if len(generated_tokens) != 0:  # accept new token\n            input_id = generated_tokens[-1]\n            if not formatter.is_completed():\n                formatter.accept_token(input_id)\n        if formatter.is_completed():\n            logits[:] = float(\"-inf\")\n            logits[self._eos_token_id] = 1000\n            return logits\n        formatter.compute_allowed_tokens()\n        logits = self._mask_logits_fn(bit_mask, formatter, logits)\n        return logits\n\n\ndef create_engine_vocabulary(tokenizer: AnyTokenizer,\n                             vocab_processors: typing.Optional[list[typing.Callable]] = None) -> kbnf.Vocabulary:\n    \"\"\"\n    Create a vocabulary for the KBNF engine.\n    Args:\n        tokenizer: The tokenizer.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    vocab = tokenizer.get_vocab()\n    new_vocab = get_original_characters(vocab, vocab_processors)\n    return kbnf.Vocabulary({k: kbnf.Token(v) for k, v in new_vocab.items()}, {\n        v: k for k, v in vocab.items()})\n\n\ndef create_formatters_logits_processor(llm: LLM,\n                                       formatter_builders: typing.Sequence[FormatterBuilder | None] | FormatterBuilder,\n                                       configs: typing.Sequence[EngineGenerationConfig] = None,\n                                       vocab_processors: typing.Optional[list[typing.Callable]] = None) \\\n        -> FormattersLogitsProcessor:\n    \"\"\"\n    Create a formatter logits processor.\n    Args:\n        llm: The LLM.\n        formatter_builders: The formatter builders.\n        configs: The engine generation configurations.\n        vocab_processors: List of callables with signature (token_to_char: typing.Dict[bytes, bytes])->None.\n            Callables can be used to \"unmangle\" encoded characters to original characters. If None, processors will be auto-detected.\n    \"\"\"\n    tokenizer = llm.get_tokenizer()\n    vocab = create_engine_vocabulary(tokenizer, vocab_processors)\n    if not isinstance(formatter_builders, collections.abc.Sequence):\n        formatter_builders = [formatter_builders]\n    formatters = [i.build(vocab, lambda tokens: tokenizer.decode(tokens)) if i is not None else None\n                  for i in formatter_builders]\n    return FormattersLogitsProcessor(formatters, tokenizer.eos_token_id, configs)\n"
  },
  {
    "path": "src/formatron/schemas/__init__.py",
    "content": "\"\"\"\nThis subpackage contains modules that define schemas creation from various sources.\n\"\"\"\n# the following imports are needed as python subpackage imports seem to have some issues\nfrom . import schema\nfrom . import pydantic\nfrom . import dict_inference\nfrom . import json_schema"
  },
  {
    "path": "src/formatron/schemas/dict_inference.py",
    "content": "\"\"\"\nThis module contains utilities for inferring schemas from dictionaries.\n\"\"\"\nimport collections.abc\nimport json\nfrom typing import Any, Type\n\nfrom pydantic import typing\n\nfrom formatron import schemas\n\n\nclass FieldInfo(schemas.schema.FieldInfo):\n    __slots__ = (\"_annotation\",)\n\n    def __init__(self, annotation: typing.Type):\n        \"\"\"\n        Initialize the field information.\n\n        Args:\n            annotation: The type annotation of the field.\n        \"\"\"\n        self._annotation = annotation\n\n    @property\n    def annotation(self) -> typing.Type[typing.Any] | None:\n        \"\"\"\n        Get the type annotation of the field.\n        \"\"\"\n        return self._annotation\n\n    @property\n    def required(self) -> bool:\n        \"\"\"\n        Check if the field is required for the schema.\n        \"\"\"\n        return True\n\n\ndef _infer_type(value: Any) -> Type[Any]:\n    if isinstance(value, collections.abc.Mapping):\n        return infer_mapping(value)\n    elif isinstance(value, collections.abc.Sequence) and not isinstance(value, str):\n        # Handle sequences with possibly heterogeneous elements\n        if not value:\n            return collections.Sequence[Any]\n        element_types = set()\n        for element in value:\n            element_type = type(element)\n            # Check for dictionary\n            original = typing.get_origin(element_type)\n            if original is None:\n                original = element_type\n            if original is typing.Mapping or isinstance(original, type) and issubclass(original,\n                                                                                       collections.abc.Mapping):\n                element_types.add(infer_mapping(element))\n            else:\n                element_types.add(element_type)\n        if len(element_types) == 1:\n            return collections.abc.Sequence[next(iter(element_types))]\n        union_type = typing.Union[tuple(element_types)]\n        return collections.abc.Sequence[union_type]\n    else:\n        return type(value)\n\n\ndef infer_mapping(mapping: collections.abc.Mapping[str, Any]) -> typing.Type[schemas.schema.Schema]:\n    \"\"\"\n    Recursively infer a schema from a mapping.\n\n    Types that are specially handled:\n        - collections.abc.Mapping: converted to a schema. Keys are converted to field names and corresponding value types are converted to field types.\n        - collections.abc.Sequence with heterogeneous elements: all different element types are included in a union type.\n\n    Other types are directly inferred from the type of the value with no special handling.\n    \"\"\"\n    field_infos = {}\n    for key, value in mapping.items():\n        assert isinstance(key, str), f\"Key must be a string, got {key} of type {type(key)}\"\n        assert key.isidentifier(), f\"Key must be a valid identifier, got {key}\"\n        inferred_type = _infer_type(value)\n        field_infos[key] = FieldInfo(inferred_type)\n    _class = type(f\"Mapping_{id(mapping)}\", (schemas.schema.Schema,), {\"fields\": lambda: field_infos})\n    _class.from_json = classmethod(lambda cls, json_str: json.loads(json_str))\n    return _class\n"
  },
  {
    "path": "src/formatron/schemas/json_schema.py",
    "content": "\"\"\"\nThis module contains utilities for creating schemas from JSON schemas.\n\"\"\"\n\nimport collections\nimport collections.abc\nimport copy\nimport json\nfrom urllib.parse import urldefrag, urljoin\nimport frozendict\nimport jsonschema.validators\nfrom pydantic import typing\nimport jsonschema\nfrom formatron import schemas\nfrom referencing import Registry, Resource\n\nclass FieldInfo(schemas.schema.FieldInfo):\n    __slots__ = (\"_annotation\",)\n\n    def __init__(self, annotation: typing.Type, required:bool):\n        \"\"\"\n        Initialize the field information.\n\n        Args:\n            annotation: The type annotation of the field.\n            required: Whether the field is required for the schema.\n        \"\"\"\n        self._annotation = annotation\n        self._required = required\n\n    @property\n    def annotation(self) -> typing.Type[typing.Any] | None:\n        \"\"\"\n        Get the type annotation of the field.\n        \"\"\"\n        return self._annotation\n\n    @property\n    def required(self) -> bool:\n        \"\"\"\n        Check if the field is required for the schema.\n        \"\"\"\n        return self._required\n    \n_counter = 0\n\ndef create_schema(schema: dict[str, typing.Any], registry=Registry()) -> schemas.schema.Schema:\n    \"\"\"\n    Create a Schema object from a JSON schema object.\n\n    This function takes a JSON schema and converts it into a Schema object that can be used\n    for data validation and serialization. Currently, only the following JSON Schema features are supported:\n\n    - `type` keyword\n    - `minLength, maxLength, pattern` keywords for string type\n    - `substringOf` keyword for string type\n    - `minimum, maximum, exclusiveMinimum, exclusiveMaximum` keywords for number type and integer type\n    - `items` keyword\n      - optionally with `minItems`, `maxItems`, `prefixItems` constraints\n    - `properties` keyword\n      - Due to implementation limitations, we always assume `additionalProperties` is false.\n      - Note that `properties` is optional for object type.\n    - `enum` and `const` keyword\n      - This includes advanced enum types such as array and object.\n      - Note that if both `enum`(or `const`) and `type` are present, `type` will be ignored.\n    - `required` keyword\n    - `anyOf` keyword\n      - This currently does not support factoring out common parts of the subschemas(like https://json-schema.org/understanding-json-schema/reference/combining#factoringschemas)\n    - Schema references ($ref and $dynamicRef)\n      - Hence, all types of schema identifications(`$defs`, `$id`, `$anchor`, `$dynamicAnchor`) are supported.\n      - This includes recursive schema references.\n        - Recursive array references(like \\[\\[\\[\\[...\\]\\]\\]\\]) are not supported yet.\n      - Due to implementation limitations, duplicate constraint keywords in both referrers and referents are not allowed.\n        - This bound is expected to be loosened in future versions of Formatron where \"easily mergeable\" constraint keywords will be merged.    \n        \n    Requirements:\n    - The input schema must be a valid JSON Schema according to the JSON Schema Draft 2020-12 standard\n    - The root schema's type must be exactly \"object\" or \"array\" or both\n    - The schema must have a valid '$id' and '$schema' fields\n    - All references must be resolvable within the given schema and registry\n\n    Args:\n        schema: A dictionary representing a valid JSON schema. \n        registry: A Registry object containing additional schema definitions. \n                                       Defaults to an empty Registry.\n\n    Returns:\n        schemas.schema.Schema: A Schema object representing the input JSON schema.\n\n    Raises:\n        jsonschema.exceptions.ValidationError: If the input schema is not a valid JSON Schema.\n        ValueError: If there are issues with schema references, constraints or requirements.\n    \"\"\"\n    schema = copy.deepcopy(schema)\n    _validate_json_schema(schema)\n    registry = Resource.from_contents(schema) @ registry\n    json_schema_id_to_schema = {}\n    memo = set()\n    _recursive_resolve_reference(schema[\"$id\"], schema, registry, memo)\n    memo.clear()\n    _merge_referenced_schema(schema,memo)\n    result = _convert_json_schema_to_our_schema(schema,json_schema_id_to_schema)\n    return result\n\ndef _resolve_new_url(uri: str, ref: str) -> str:\n    \"\"\"\n    Adapted from https://github.com/python-jsonschema/referencing/blob/main/referencing/_core.py#L667.\n    \"\"\"\n    if not ref.startswith(\"#\"):\n        uri, _ = urldefrag(urljoin(uri, ref))\n    return uri\n\ndef _validate_json_schema(schema: dict[str, typing.Any]) -> None:\n    if \"type\" in schema:\n        root_type = schema[\"type\"]\n        if isinstance(root_type, str):\n            if root_type not in [\"object\", \"array\"]:\n                raise ValueError(\"Root schema type must be 'object' or 'array'\")\n        elif isinstance(root_type, list):\n            if not set(root_type).issubset({\"object\", \"array\"}):\n                raise ValueError(\"Root schema type must be 'object', 'array', or both\")\n        else:\n            raise ValueError(\"Invalid 'type' specification in root schema\")\n    jsonschema.validate(instance=schema, schema=jsonschema.validators.Draft202012Validator.META_SCHEMA)\n\ndef _convert_json_schema_to_our_schema(schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type])->typing.Type:\n    \"\"\"\n    Recursively handle all types needed to fully determine the type of a schema\n    \"\"\"\n    schema_id = id(schema)\n    if schema_id in json_schema_id_to_schema: # Circular reference\n        return json_schema_id_to_schema[schema_id]\n    if isinstance(schema, dict):\n        _inferred_type = _infer_type(schema, json_schema_id_to_schema)\n        if \"properties\" in schema:\n            fields = _extract_fields_from_object_type(json_schema_id_to_schema[schema_id])\n            properties = schema[\"properties\"]\n            required = schema.get(\"required\", [])\n            for _property in properties:\n                fields[_property] = FieldInfo(_convert_json_schema_to_our_schema(properties[_property], json_schema_id_to_schema), required=_property in required)\n        return _inferred_type\n    \ndef _extract_fields_from_object_type(object_type:typing.Type):\n    args = typing.get_args(object_type)\n    for arg in args:\n        arg = typing.get_origin(arg) or arg\n        if isinstance(arg, type) and issubclass(arg, schemas.schema.Schema):\n            return arg.fields()\n    return object_type.fields()\n\ndef _handle_anyOf(schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type]) -> typing.Type:\n    allowed_keys = {\"anyOf\", \"$id\", \"$schema\"}\n    assert set(schema.keys()).issubset(allowed_keys), \"Only 'anyOf', '$id', and '$schema' are allowed when 'anyOf' is present\"\n    new_list = []\n    for item in schema[\"anyOf\"]:\n        new_list.append(_convert_json_schema_to_our_schema(item, json_schema_id_to_schema))\n    return typing.Union[tuple(new_list)]\n\ndef _infer_type(schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type]) -> typing.Type[typing.Any | None]:\n    \"\"\"\n    Infer more specific types.\n    \"\"\"\n    if \"anyOf\" in schema:\n        return _handle_anyOf(schema, json_schema_id_to_schema)\n    obtained_type = _obtain_type(schema, json_schema_id_to_schema)\n    if obtained_type is None:\n        obtained_type = typing.Union[str, float, int, bool, None, list[typing.Any]]\n    args = None\n    origin = typing.get_origin(obtained_type)\n    if origin is typing.Union or origin is typing.Literal or origin is list:\n        args = typing.get_args(obtained_type)\n    if not args:\n        args = [obtained_type]\n    else:\n        args = list(args)\n    for i, arg in enumerate(args):\n        if arg is object:\n            args[i] = _create_custom_type(schema, json_schema_id_to_schema)\n        elif arg is list:\n            args[i] = _handle_list_metadata(schema, json_schema_id_to_schema)\n        elif arg is str:\n            args[i] = _handle_str_with_metadata(schema)\n        elif arg is int or arg is float:\n            args[i] = _handle_numeric_with_metadata(schema, arg)\n    if typing.get_origin(obtained_type) is typing.Union:\n        obtained_type = typing.Union[tuple(args)]\n    elif typing.get_origin(obtained_type) is typing.Literal:\n        obtained_type = typing.Literal[tuple(args)]\n    else:\n        obtained_type = args[0]\n    json_schema_id_to_schema[id(schema)] = obtained_type\n    return obtained_type\n\ndef _get_literal(schema: dict[str, typing.Any]) -> typing.Any:\n    if \"enum\" in schema and \"const\" in schema:\n        raise ValueError(\"JSON schema cannot contain both 'enum' and 'const' keywords\")\n    return tuple(schema[\"enum\"]) if \"enum\" in schema else schema.get(\"const\")\n\ndef _handle_literal(literal: typing.Any, obtained_type: typing.Type, schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type]) -> typing.Type:\n    # TODO: validate literal against obtained_type\n    if not isinstance(literal, tuple):\n        literal = (literal,)\n    literal = frozendict.deepfreeze(literal)\n    literal_type = typing.Literal[literal]\n    return literal_type\n\ndef _handle_str_with_metadata(schema: dict[str, typing.Any]) -> typing.Type:\n    \"\"\"\n    Handle string type with metadata such as maxLength, minLength, and pattern.\n    \"\"\"\n    metadata = {}\n    if \"maxLength\" in schema:\n        metadata[\"max_length\"] = schema[\"maxLength\"]\n    if \"minLength\" in schema:\n        metadata[\"min_length\"] = schema[\"minLength\"]\n    if \"pattern\" in schema:\n        metadata[\"pattern\"] = schema[\"pattern\"]\n    if \"substringOf\" in schema:\n        metadata[\"substring_of\"] = schema[\"substringOf\"]\n    \n    if metadata:\n        return schemas.schema.TypeWithMetadata(str, metadata)\n    return str\n\ndef _handle_numeric_with_metadata(schema: dict[str, typing.Any], numeric_type: typing.Type) -> typing.Type:\n    \"\"\"\n    Handle numeric types (int or float) with metadata such as minimum, maximum, exclusiveMinimum, and exclusiveMaximum.\n    \"\"\"\n    metadata = {}\n    if \"minimum\" in schema:\n        metadata[\"ge\"] = schema[\"minimum\"]\n    if \"maximum\" in schema:\n        metadata[\"le\"] = schema[\"maximum\"]\n    if \"exclusiveMinimum\" in schema:\n        metadata[\"gt\"] = schema[\"exclusiveMinimum\"]\n    if \"exclusiveMaximum\" in schema:\n        metadata[\"lt\"] = schema[\"exclusiveMaximum\"]\n    \n    if metadata:\n        return schemas.schema.TypeWithMetadata(numeric_type, metadata)\n    return numeric_type\n\n\n\ndef _create_custom_type(schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type]) -> typing.Type:\n    global _counter\n    fields = {}\n    new_type = type(f\"__json_schema_{_counter}\", (schemas.schema.Schema,), {\n        \"from_json\": classmethod(lambda cls, x: json.loads(x)),\n        \"fields\": classmethod(lambda cls: fields)\n    })\n    _counter += 1\n    json_schema_id_to_schema[id(schema)] = new_type\n    return new_type\n\ndef _handle_list_metadata(schema: dict[str, typing.Any], json_schema_id_to_schema: dict[int, typing.Type]) -> typing.Type:\n    \"\"\"\n    Handle cases where the obtained type is a list\n    \"\"\"\n    metadata = {}\n    if \"minItems\" in schema:\n        metadata[\"min_length\"] = schema[\"minItems\"]\n    if \"maxItems\" in schema:\n        metadata[\"max_length\"] = schema[\"maxItems\"]\n    if \"prefixItems\" in schema:\n        metadata[\"prefix_items\"] = tuple(_convert_json_schema_to_our_schema(i, json_schema_id_to_schema) for i in schema[\"prefixItems\"])\n    item_type = typing.Any\n    if \"items\" in schema:\n        if schema[\"items\"] == False:\n            metadata[\"additional_items\"] = False\n        else:\n            item_type = _convert_json_schema_to_our_schema(schema[\"items\"], json_schema_id_to_schema)\n            if item_type is None:\n                item_type = typing.Any\n    if metadata:\n        if \"additional_items\" not in metadata:\n            metadata[\"additional_items\"] = True\n        return schemas.schema.TypeWithMetadata(list, metadata)\n    return list[item_type]\n\n\ndef _obtain_type(schema: dict[str, typing.Any], json_schema_id_to_schema:dict[int, typing.Type]) -> typing.Type[typing.Any|None]:\n    \"\"\"\n    Directly obtain type information from this schema's type keyword.\n    \"\"\"\n    if \"type\" not in schema:\n        obtained_type = None\n    else:\n        json_type = schema[\"type\"]\n        if json_type == \"string\":\n            obtained_type = str\n        elif json_type == \"number\":\n            obtained_type = float\n        elif json_type == \"integer\":\n            obtained_type = int\n        elif json_type == \"boolean\":\n            obtained_type = bool\n        elif json_type == \"null\":\n            obtained_type = type(None)\n        elif json_type == \"array\":\n            obtained_type = list\n        elif json_type == \"object\":\n            if \"properties\" in schema:\n                obtained_type = object\n            else:\n                obtained_type = dict[str, typing.Any]\n        elif isinstance(json_type, collections.abc.Sequence):\n            new_list = []\n            for item in json_type:\n                new_schema = schema.copy()\n                new_schema[\"type\"] = item\n                new_list.append(_obtain_type(new_schema, json_schema_id_to_schema))\n            obtained_type = typing.Union[tuple(new_list)]\n        else:\n            raise TypeError(f\"Unsupported type in json schema: {json_type}\")\n    literal = _get_literal(schema)\n    if literal is not None:\n        return _handle_literal(literal, obtained_type, schema, json_schema_id_to_schema)\n    return obtained_type\n\n\ndef _merge_referenced_schema(schema: dict[str, typing.Any], memo: set[int]):\n    keys = [\"$ref\", \"$dynamicRef\"]\n    if id(schema) in memo: # Circular reference\n        return None\n    if isinstance(schema, list):\n        memo.add(id(schema))\n        for item in schema:\n            _merge_referenced_schema(item, memo)\n    elif isinstance(schema, dict):\n        memo.add(id(schema))\n        for key in keys:\n            if key in schema:\n                _merge_referenced_schema(schema[key], memo) # ensure no unmerged references\n                for ref_key, ref_value in schema[key].items():\n                    _merge_key(schema, ref_key, ref_value)\n                del schema[key]\n        for key, value in schema.items():\n            _merge_referenced_schema(value, memo)\n\ndef _merge_key(schema:dict[str, typing.Any], ref_key:str, reference_value:typing.Any):\n    if ref_key not in schema:\n        schema[ref_key] = reference_value\n        return None\n    if schema[ref_key] is reference_value:\n        return None\n    if isinstance(schema[ref_key], dict) and isinstance(reference_value, dict):\n        for new_ref_key, new_ref_value in reference_value.items():\n            _merge_key(schema[ref_key], new_ref_key, new_ref_value)\n        return None\n    if ref_key in (\"$id\", \"$schema\"):\n        # For $id and $schema, keep the original value\n        return None\n    if isinstance(schema[ref_key], (str, int, float, bool)) and isinstance(reference_value, (str, int, float, bool)):\n        if schema[ref_key] == reference_value:\n            return None\n    raise ValueError(f\"Duplicate keys in schema referenced by {ref_key} in JSON schema: {schema} is not supported\")\n    \n\ndef _recursive_resolve_reference(base_uri: str, schema: typing.Any, registry: Registry, memo: set[int]):\n    if id(schema) in memo:\n        return schema\n    memo.add(id(schema))\n    if isinstance(schema, list):\n        new_list = []\n        for item in schema:\n            new_list.append(_recursive_resolve_reference(base_uri, item, registry, memo))\n        schema.clear()\n        schema.extend(new_list)\n    if isinstance(schema, dict):\n        if \"$id\" in schema:\n            base_uri = _resolve_new_url(base_uri, schema[\"$id\"])\n        resolver = registry.resolver(base_uri)\n        keys = [\"$ref\", \"$dynamicRef\"]\n        for key in keys:\n            if key in schema:\n                _resolve_reference(schema, key, resolver)\n        for key, value in schema.items():\n            _recursive_resolve_reference(base_uri, value, registry, memo)\n    return schema\n\ndef _resolve_reference(schema: dict[str, typing.Any], key: str, resolver: typing.Any):\n    resolved = resolver.lookup(schema[key])\n    if resolved.contents is schema:\n        raise ValueError(f\"Circular self reference detected in JSON schema: {schema}\")\n    schema[key] = resolved.contents"
  },
  {
    "path": "src/formatron/schemas/pydantic.py",
    "content": "\"\"\"\nA module that implements the Schema interface using pydantic.\n\"\"\"\nimport inspect\nimport json\nimport typing\n\nimport pydantic.fields\nfrom pydantic import BaseModel, validate_call, ConfigDict, Field\n\nimport formatron.schemas.schema as schema\nfrom formatron.schemas.schema import Schema, TypeWithMetadata\n\n\nclass FieldInfo(schema.FieldInfo):\n    \"\"\"\n    A wrapper for pydantic FieldInfo.\n    \"\"\"\n    __slots__ = (\"_field\",)\n\n    def __init__(self, field: pydantic.fields.FieldInfo):\n        \"\"\"\n        Initialize the field information.\n        \"\"\"\n        self._field = field\n        self._annotation = field.annotation\n        if field.metadata:\n            metadata = {}\n            for constraint in [\"min_length\", \"max_length\", \"pattern\", \"gt\", \"ge\", \"lt\", \"le\", \"substring_of\"]:\n                value = next((getattr(m, constraint) for m in self._field.metadata if hasattr(m, constraint)), None)\n                if value is not None:\n                    metadata[constraint] = value\n            if metadata:\n                self._annotation = TypeWithMetadata(self._annotation, metadata)\n\n    @property\n    def annotation(self) -> typing.Type[typing.Any] | None:\n        return self._annotation\n\n    @property\n    def required(self) -> bool:\n        return self._field.is_required()\n\n    def __repr__(self):\n        return repr(self._field)\n\n    def __str__(self):\n        return str(self._field)\n\n\nclass ClassSchema(BaseModel, Schema):\n    \"\"\"\n    A wrapper for pydantic BaseModel that implements the Schema interface.\n    \"\"\"\n    __cached_fields__ = None\n\n    @classmethod\n    def fields(cls) -> typing.Dict[str, typing.Any]:\n        if cls.__cached_fields__ is not None:\n            return cls.__cached_fields__\n        cls.__cached_fields__ = {k: FieldInfo(v) for k, v in cls.model_fields.items()}\n        return cls.__cached_fields__\n\n    @classmethod\n    def from_json(cls, _json: str) -> \"ClassSchema\":\n        \"\"\"\n        Create a ClassSchema from a JSON string.\n        \"\"\"\n        return cls.model_validate_json(_json)\n\n\nCallableT = typing.TypeVar('CallableT', bound=typing.Callable)\n\n\ndef callable_schema(func: CallableT, /, *, config: ConfigDict = None, validate_return: bool = False) -> CallableT:\n    \"\"\"\n    A decorator that wraps pydantic's validate_call. The decorated callable also implements the Schema interface.\n\n    Args:\n        func: The function to decorate.\n        config: The pydantic configuration of validate_call.\n        validate_return: Whether to validate the return value.\n\n    Returns:\n        The decorated callable.\n    \"\"\"\n    pydantic_wrapper = validate_call(config=config, validate_return=validate_return)(func)\n    signature = inspect.signature(func, eval_str=True)\n    fields = {}\n    for k, p in signature.parameters.items():\n        default = None\n        if p.default is not inspect.Signature.empty:\n            default = p.default\n        actual_type = p.annotation\n        metadata = []\n        if isinstance(p.default, pydantic.fields.FieldInfo):\n            fields[k] = p.default\n        if typing.get_origin(p.annotation) is typing.Annotated:\n            actual_type, *meta = typing.get_args(p.annotation)\n            fieldinfo = None\n            for i in meta:\n                if isinstance(i, pydantic.fields.FieldInfo):\n                    fieldinfo = i\n                else:\n                    metadata.append(i)\n            if fieldinfo is not None:\n                fields[k] = fieldinfo\n            if k in fields:\n                fields[k].default = default\n                fields[k].annotation = actual_type\n                fields[k].metadata.extend(metadata)\n                continue\n        if default is not None:\n            fields[k] = Field(default)\n        else:\n            fields[k] = Field()\n        fields[k].annotation = actual_type\n        fields[k].metadata.extend(metadata)\n    for k in fields:\n        fields[k] = FieldInfo(fields[k])\n\n    def from_json(cls, json_str):\n        json_data = json.loads(json_str)\n        positional_only = []\n        others = {}\n        for k, p in signature.parameters.items():\n            if p.kind == p.POSITIONAL_ONLY:\n                positional_only.append(json_data[k])\n            else:\n                others[k] = json_data[k]\n        return cls(*positional_only, **others)\n\n    _class = type(\n        f'{func.__qualname__}_PydanticSchema_{id(func)}',\n        (Schema,),\n        {\n            \"_func\": pydantic_wrapper,\n            '__new__': lambda cls, *args, **kwargs: pydantic_wrapper(*args, **kwargs),\n            '__call__': lambda *args, **kwargs: pydantic_wrapper(*args, **kwargs)  # make duck typer happy\n        }\n    )\n    _class.from_json = classmethod(from_json)\n    _class.fields = classmethod(lambda cls: fields)\n    return _class\n"
  },
  {
    "path": "src/formatron/schemas/schema.py",
    "content": "\"\"\"\nThis module contains the Schema abstract class and FieldInfo abstract class.\n\"\"\"\nimport abc\nfrom dataclasses import dataclass\nimport typing\n\n\nclass FieldInfo(abc.ABC):\n    \"\"\"\n    An abstract field info that describes a data field in a schema.\n    \"\"\"\n    @property\n    @abc.abstractmethod\n    def annotation(self) -> typing.Type[typing.Any] | None:\n        \"\"\"\n        Get the type annotation of the field.\n        \"\"\"\n        pass\n\n    @property\n    @abc.abstractmethod\n    def required(self) -> bool:\n        \"\"\"\n        Check if the field is required for the schema.\n        \"\"\"\n        pass\n\nclass TypeWithMetadata:\n    \"\"\"\n    A type with metadata.\n    \"\"\"\n    def __init__(self, type: typing.Type[typing.Any], metadata: dict[str, typing.Any]|None):\n        self._type = type\n        self._metadata = metadata\n\n    @property\n    def type(self) -> typing.Type[typing.Any]:\n        \"\"\"\n        Get the type of the type with metadata.\n        \"\"\"\n        return self._type\n\n    @property\n    def metadata(self) -> dict[str, typing.Any]|None:\n        \"\"\"\n        Get the metadata of the type with metadata.\n        \"\"\"\n        return self._metadata\n\nclass Schema(abc.ABC):\n    \"\"\"\n    An abstract schema that describes some data.\n    \"\"\"\n    @classmethod\n    @abc.abstractmethod\n    def fields(cls) -> dict[str, FieldInfo]:\n        \"\"\"\n        Get the fields of the schema.\n        \"\"\"\n        pass\n\n    @classmethod\n    @abc.abstractmethod\n    def from_json(cls, json: str) -> \"Schema\":\n        \"\"\"\n        Create a schema from a JSON string.\n        \"\"\"\n        pass\n\n@dataclass\nclass SubstringOf:\n    \"\"\"\n    A metadata class that indicates that the field is a substring of the given string.\n    \"\"\"\n    substring_of: str\n"
  },
  {
    "path": "test-dependencies.txt",
    "content": "pytest\nsnapshottest"
  },
  {
    "path": "tests/assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth",
    "content": "version https://git-lfs.github.com/spec/v1\noid sha256:5a288c54c7f30b0e2d4af23991133fad2af2d5e59ec7ad850ffe78054a5e4f92\nsize 923523954\n"
  },
  {
    "path": "tests/assets/rwkv_vocab_v20230424.txt",
    "content": "1 '\\x00' 1\n2 '\\x01' 1\n3 '\\x02' 1\n4 '\\x03' 1\n5 '\\x04' 1\n6 '\\x05' 1\n7 '\\x06' 1\n8 '\\x07' 1\n9 '\\x08' 1\n10 '\\t' 1\n11 '\\n' 1\n12 '\\x0b' 1\n13 '\\x0c' 1\n14 '\\r' 1\n15 '\\x0e' 1\n16 '\\x0f' 1\n17 '\\x10' 1\n18 '\\x11' 1\n19 '\\x12' 1\n20 '\\x13' 1\n21 '\\x14' 1\n22 '\\x15' 1\n23 '\\x16' 1\n24 '\\x17' 1\n25 '\\x18' 1\n26 '\\x19' 1\n27 '\\x1a' 1\n28 '\\x1b' 1\n29 '\\x1c' 1\n30 '\\x1d' 1\n31 '\\x1e' 1\n32 '\\x1f' 1\n33 ' ' 1\n34 '!' 1\n35 '\"' 1\n36 '#' 1\n37 '$' 1\n38 '%' 1\n39 '&' 1\n40 \"'\" 1\n41 '(' 1\n42 ')' 1\n43 '*' 1\n44 '+' 1\n45 ',' 1\n46 '-' 1\n47 '.' 1\n48 '/' 1\n49 '0' 1\n50 '1' 1\n51 '2' 1\n52 '3' 1\n53 '4' 1\n54 '5' 1\n55 '6' 1\n56 '7' 1\n57 '8' 1\n58 '9' 1\n59 ':' 1\n60 ';' 1\n61 '<' 1\n62 '=' 1\n63 '>' 1\n64 '?' 1\n65 '@' 1\n66 'A' 1\n67 'B' 1\n68 'C' 1\n69 'D' 1\n70 'E' 1\n71 'F' 1\n72 'G' 1\n73 'H' 1\n74 'I' 1\n75 'J' 1\n76 'K' 1\n77 'L' 1\n78 'M' 1\n79 'N' 1\n80 'O' 1\n81 'P' 1\n82 'Q' 1\n83 'R' 1\n84 'S' 1\n85 'T' 1\n86 'U' 1\n87 'V' 1\n88 'W' 1\n89 'X' 1\n90 'Y' 1\n91 'Z' 1\n92 '[' 1\n93 '\\\\' 1\n94 ']' 1\n95 '^' 1\n96 '_' 1\n97 '`' 1\n98 'a' 1\n99 'b' 1\n100 'c' 1\n101 'd' 1\n102 'e' 1\n103 'f' 1\n104 'g' 1\n105 'h' 1\n106 'i' 1\n107 'j' 1\n108 'k' 1\n109 'l' 1\n110 'm' 1\n111 'n' 1\n112 'o' 1\n113 'p' 1\n114 'q' 1\n115 'r' 1\n116 's' 1\n117 't' 1\n118 'u' 1\n119 'v' 1\n120 'w' 1\n121 'x' 1\n122 'y' 1\n123 'z' 1\n124 '{' 1\n125 '|' 1\n126 '}' 1\n127 '~' 1\n128 '\\x7f' 1\n129 b'\\x80' 1\n130 b'\\x81' 1\n131 b'\\x82' 1\n132 b'\\x83' 1\n133 b'\\x84' 1\n134 b'\\x85' 1\n135 b'\\x86' 1\n136 b'\\x87' 1\n137 b'\\x88' 1\n138 b'\\x89' 1\n139 b'\\x8a' 1\n140 b'\\x8b' 1\n141 b'\\x8c' 1\n142 b'\\x8d' 1\n143 b'\\x8e' 1\n144 b'\\x8f' 1\n145 b'\\x90' 1\n146 b'\\x91' 1\n147 b'\\x92' 1\n148 b'\\x93' 1\n149 b'\\x94' 1\n150 b'\\x95' 1\n151 b'\\x96' 1\n152 b'\\x97' 1\n153 b'\\x98' 1\n154 b'\\x99' 1\n155 b'\\x9a' 1\n156 b'\\x9b' 1\n157 b'\\x9c' 1\n158 b'\\x9d' 1\n159 b'\\x9e' 1\n160 b'\\x9f' 1\n161 b'\\xa0' 1\n162 b'\\xa1' 1\n163 b'\\xa2' 1\n164 b'\\xa3' 1\n165 b'\\xa4' 1\n166 b'\\xa5' 1\n167 b'\\xa6' 1\n168 b'\\xa7' 1\n169 b'\\xa8' 1\n170 b'\\xa9' 1\n171 b'\\xaa' 1\n172 b'\\xab' 1\n173 b'\\xac' 1\n174 b'\\xad' 1\n175 b'\\xae' 1\n176 b'\\xaf' 1\n177 b'\\xb0' 1\n178 b'\\xb1' 1\n179 b'\\xb2' 1\n180 b'\\xb3' 1\n181 b'\\xb4' 1\n182 b'\\xb5' 1\n183 b'\\xb6' 1\n184 b'\\xb7' 1\n185 b'\\xb8' 1\n186 b'\\xb9' 1\n187 b'\\xba' 1\n188 b'\\xbb' 1\n189 b'\\xbc' 1\n190 b'\\xbd' 1\n191 b'\\xbe' 1\n192 b'\\xbf' 1\n193 b'\\xc0' 1\n194 b'\\xc1' 1\n195 b'\\xc2' 1\n196 b'\\xc3' 1\n197 b'\\xc4' 1\n198 b'\\xc5' 1\n199 b'\\xc6' 1\n200 b'\\xc7' 1\n201 b'\\xc8' 1\n202 b'\\xc9' 1\n203 b'\\xca' 1\n204 b'\\xcb' 1\n205 b'\\xcc' 1\n206 b'\\xcd' 1\n207 b'\\xce' 1\n208 b'\\xcf' 1\n209 b'\\xd0' 1\n210 b'\\xd1' 1\n211 b'\\xd2' 1\n212 b'\\xd3' 1\n213 b'\\xd4' 1\n214 b'\\xd5' 1\n215 b'\\xd6' 1\n216 b'\\xd7' 1\n217 b'\\xd8' 1\n218 b'\\xd9' 1\n219 b'\\xda' 1\n220 b'\\xdb' 1\n221 b'\\xdc' 1\n222 b'\\xdd' 1\n223 b'\\xde' 1\n224 b'\\xdf' 1\n225 b'\\xe0' 1\n226 b'\\xe1' 1\n227 b'\\xe2' 1\n228 b'\\xe3' 1\n229 b'\\xe4' 1\n230 b'\\xe5' 1\n231 b'\\xe6' 1\n232 b'\\xe7' 1\n233 b'\\xe8' 1\n234 b'\\xe9' 1\n235 b'\\xea' 1\n236 b'\\xeb' 1\n237 b'\\xec' 1\n238 b'\\xed' 1\n239 b'\\xee' 1\n240 b'\\xef' 1\n241 b'\\xf0' 1\n242 b'\\xf1' 1\n243 b'\\xf2' 1\n244 b'\\xf3' 1\n245 b'\\xf4' 1\n246 b'\\xf5' 1\n247 b'\\xf6' 1\n248 b'\\xf7' 1\n249 b'\\xf8' 1\n250 b'\\xf9' 1\n251 b'\\xfa' 1\n252 b'\\xfb' 1\n253 b'\\xfc' 1\n254 b'\\xfd' 1\n255 b'\\xfe' 1\n256 b'\\xff' 1\n257 '\\t\\t' 2\n258 '\\t\\n' 2\n259 '\\t ' 2\n260 '\\n\\t' 2\n261 '\\n\\n' 2\n262 '\\n ' 2\n263 '\\r\\n' 2\n264 ' \\t' 2\n265 ' \\n' 2\n266 ' \\r' 2\n267 '  ' 2\n268 ' !' 2\n269 ' \"' 2\n270 ' #' 2\n271 ' $' 2\n272 ' %' 2\n273 ' &' 2\n274 \" '\" 2\n275 ' (' 2\n276 ' )' 2\n277 ' *' 2\n278 ' +' 2\n279 ' ,' 2\n280 ' -' 2\n281 ' .' 2\n282 ' /' 2\n283 ' 0' 2\n284 ' 1' 2\n285 ' 2' 2\n286 ' 3' 2\n287 ' 4' 2\n288 ' 5' 2\n289 ' 6' 2\n290 ' 7' 2\n291 ' 8' 2\n292 ' 9' 2\n293 ' :' 2\n294 ' ;' 2\n295 ' <' 2\n296 ' =' 2\n297 ' >' 2\n298 ' ?' 2\n299 ' @' 2\n300 ' A' 2\n301 ' B' 2\n302 ' C' 2\n303 ' D' 2\n304 ' E' 2\n305 ' F' 2\n306 ' G' 2\n307 ' H' 2\n308 ' I' 2\n309 ' J' 2\n310 ' K' 2\n311 ' L' 2\n312 ' M' 2\n313 ' N' 2\n314 ' O' 2\n315 ' P' 2\n316 ' Q' 2\n317 ' R' 2\n318 ' S' 2\n319 ' T' 2\n320 ' U' 2\n321 ' V' 2\n322 ' W' 2\n323 ' X' 2\n324 ' Y' 2\n325 ' Z' 2\n326 ' [' 2\n327 ' \\\\' 2\n328 ' ]' 2\n329 ' ^' 2\n330 ' _' 2\n331 ' `' 2\n332 ' a' 2\n333 ' b' 2\n334 ' c' 2\n335 ' d' 2\n336 ' e' 2\n337 ' f' 2\n338 ' g' 2\n339 ' h' 2\n340 ' i' 2\n341 ' j' 2\n342 ' k' 2\n343 ' l' 2\n344 ' m' 2\n345 ' n' 2\n346 ' o' 2\n347 ' p' 2\n348 ' q' 2\n349 ' r' 2\n350 ' s' 2\n351 ' t' 2\n352 ' u' 2\n353 ' v' 2\n354 ' w' 2\n355 ' x' 2\n356 ' y' 2\n357 ' z' 2\n358 ' {' 2\n359 ' |' 2\n360 ' }' 2\n361 ' ~' 2\n362 '!!' 2\n363 '!\"' 2\n364 \"!'\" 2\n365 '!(' 2\n366 '!)' 2\n367 '!,' 2\n368 '!.' 2\n369 '!/' 2\n370 '!=' 2\n371 '!?' 2\n372 '![' 2\n373 '!\\\\' 2\n374 '\"\"' 2\n375 '\"#' 2\n376 '\"$' 2\n377 '\"%' 2\n378 '\"&' 2\n379 '\"\\'' 2\n380 '\"(' 2\n381 '\")' 2\n382 '\"*' 2\n383 '\"+' 2\n384 '\",' 2\n385 '\"-' 2\n386 '\".' 2\n387 '\"/' 2\n388 '\":' 2\n389 '\";' 2\n390 '\"<' 2\n391 '\">' 2\n392 '\"?' 2\n393 '\"[' 2\n394 '\"\\\\' 2\n395 '\"]' 2\n396 '\"_' 2\n397 '\"`' 2\n398 '\"{' 2\n399 '\"}' 2\n400 '#!' 2\n401 '#\"' 2\n402 '##' 2\n403 \"#'\" 2\n404 '#,' 2\n405 '#.' 2\n406 '#:' 2\n407 '#{' 2\n408 '$\"' 2\n409 '$$' 2\n410 \"$'\" 2\n411 '$(' 2\n412 '$,' 2\n413 '$.' 2\n414 '$/' 2\n415 '$:' 2\n416 '$;' 2\n417 '$\\\\' 2\n418 '$_' 2\n419 '${' 2\n420 '%\"' 2\n421 '%%' 2\n422 \"%'\" 2\n423 '%(' 2\n424 '%)' 2\n425 '%,' 2\n426 '%-' 2\n427 '%.' 2\n428 '%;' 2\n429 '%=' 2\n430 '%\\\\' 2\n431 '&#' 2\n432 '&&' 2\n433 '&=' 2\n434 '&\\\\' 2\n435 '\\'\"' 2\n436 \"'#\" 2\n437 \"'$\" 2\n438 \"'%\" 2\n439 \"''\" 2\n440 \"'(\" 2\n441 \"')\" 2\n442 \"'*\" 2\n443 \"'+\" 2\n444 \"',\" 2\n445 \"'-\" 2\n446 \"'.\" 2\n447 \"'/\" 2\n448 \"':\" 2\n449 \"';\" 2\n450 \"'<\" 2\n451 \"'>\" 2\n452 \"'?\" 2\n453 \"'[\" 2\n454 \"'\\\\\" 2\n455 \"']\" 2\n456 \"'^\" 2\n457 \"'_\" 2\n458 \"'d\" 2\n459 \"'m\" 2\n460 \"'s\" 2\n461 \"'t\" 2\n462 \"'{\" 2\n463 \"'}\" 2\n464 '(!' 2\n465 '(\"' 2\n466 '(#' 2\n467 '($' 2\n468 '(%' 2\n469 '(&' 2\n470 \"('\" 2\n471 '((' 2\n472 '()' 2\n473 '(*' 2\n474 '(+' 2\n475 '(-' 2\n476 '(.' 2\n477 '(/' 2\n478 '(:' 2\n479 '(<' 2\n480 '(?' 2\n481 '(@' 2\n482 '([' 2\n483 '(\\\\' 2\n484 '(_' 2\n485 '(`' 2\n486 '({' 2\n487 '(|' 2\n488 ')!' 2\n489 ')\"' 2\n490 ')$' 2\n491 ')&' 2\n492 \")'\" 2\n493 ')(' 2\n494 '))' 2\n495 ')*' 2\n496 ')+' 2\n497 '),' 2\n498 ')-' 2\n499 ').' 2\n500 ')/' 2\n501 '):' 2\n502 ');' 2\n503 ')<' 2\n504 ')=' 2\n505 ')>' 2\n506 ')?' 2\n507 ')[' 2\n508 ')\\\\' 2\n509 ')]' 2\n510 ')^' 2\n511 ')_' 2\n512 ')`' 2\n513 '){' 2\n514 ')|' 2\n515 ')}' 2\n516 '*\"' 2\n517 \"*'\" 2\n518 '*(' 2\n519 '*)' 2\n520 '**' 2\n521 '*,' 2\n522 '*-' 2\n523 '*.' 2\n524 '*/' 2\n525 '*:' 2\n526 '*=' 2\n527 '*>' 2\n528 '*\\\\' 2\n529 '*_' 2\n530 '*}' 2\n531 '+\"' 2\n532 '+$' 2\n533 \"+'\" 2\n534 '+(' 2\n535 '+)' 2\n536 '++' 2\n537 '+,' 2\n538 '+-' 2\n539 '+.' 2\n540 '+/' 2\n541 '+=' 2\n542 '+[' 2\n543 '+\\\\' 2\n544 ',\"' 2\n545 ',#' 2\n546 ',$' 2\n547 ',%' 2\n548 \",'\" 2\n549 ',(' 2\n550 ',)' 2\n551 ',*' 2\n552 ',,' 2\n553 ',-' 2\n554 ',.' 2\n555 ',[' 2\n556 ',\\\\' 2\n557 ',_' 2\n558 ',{' 2\n559 '-\"' 2\n560 '-$' 2\n561 '-%' 2\n562 \"-'\" 2\n563 '-(' 2\n564 '-)' 2\n565 '-*' 2\n566 '-+' 2\n567 '-,' 2\n568 '--' 2\n569 '-.' 2\n570 '-=' 2\n571 '->' 2\n572 '-[' 2\n573 '-\\\\' 2\n574 '-{' 2\n575 '.\"' 2\n576 '.$' 2\n577 '.%' 2\n578 \".'\" 2\n579 '.(' 2\n580 '.)' 2\n581 '.*' 2\n582 '.+' 2\n583 '.,' 2\n584 '.-' 2\n585 '..' 2\n586 './' 2\n587 '.:' 2\n588 '.;' 2\n589 '.<' 2\n590 '.=' 2\n591 '.?' 2\n592 '.[' 2\n593 '.\\\\' 2\n594 '.]' 2\n595 '._' 2\n596 '.|' 2\n597 '/\"' 2\n598 '/#' 2\n599 '/$' 2\n600 '/%' 2\n601 \"/'\" 2\n602 '/(' 2\n603 '/)' 2\n604 '/*' 2\n605 '/+' 2\n606 '/,' 2\n607 '/-' 2\n608 '/.' 2\n609 '//' 2\n610 '/:' 2\n611 '/<' 2\n612 '/>' 2\n613 '/?' 2\n614 '/@' 2\n615 '/[' 2\n616 '/\\\\' 2\n617 '/_' 2\n618 '/{' 2\n619 '/~' 2\n620 '00' 2\n621 '01' 2\n622 '02' 2\n623 '03' 2\n624 '04' 2\n625 '05' 2\n626 '06' 2\n627 '07' 2\n628 '08' 2\n629 '09' 2\n630 '10' 2\n631 '11' 2\n632 '12' 2\n633 '13' 2\n634 '14' 2\n635 '15' 2\n636 '16' 2\n637 '17' 2\n638 '18' 2\n639 '19' 2\n640 '20' 2\n641 '21' 2\n642 '22' 2\n643 '23' 2\n644 '24' 2\n645 '25' 2\n646 '26' 2\n647 '27' 2\n648 '28' 2\n649 '29' 2\n650 '30' 2\n651 '31' 2\n652 '32' 2\n653 '33' 2\n654 '34' 2\n655 '35' 2\n656 '36' 2\n657 '37' 2\n658 '38' 2\n659 '39' 2\n660 '40' 2\n661 '41' 2\n662 '42' 2\n663 '43' 2\n664 '44' 2\n665 '45' 2\n666 '46' 2\n667 '47' 2\n668 '48' 2\n669 '49' 2\n670 '50' 2\n671 '51' 2\n672 '52' 2\n673 '53' 2\n674 '54' 2\n675 '55' 2\n676 '56' 2\n677 '57' 2\n678 '58' 2\n679 '59' 2\n680 '60' 2\n681 '61' 2\n682 '62' 2\n683 '63' 2\n684 '64' 2\n685 '65' 2\n686 '66' 2\n687 '67' 2\n688 '68' 2\n689 '69' 2\n690 '70' 2\n691 '71' 2\n692 '72' 2\n693 '73' 2\n694 '74' 2\n695 '75' 2\n696 '76' 2\n697 '77' 2\n698 '78' 2\n699 '79' 2\n700 '80' 2\n701 '81' 2\n702 '82' 2\n703 '83' 2\n704 '84' 2\n705 '85' 2\n706 '86' 2\n707 '87' 2\n708 '88' 2\n709 '89' 2\n710 '90' 2\n711 '91' 2\n712 '92' 2\n713 '93' 2\n714 '94' 2\n715 '95' 2\n716 '96' 2\n717 '97' 2\n718 '98' 2\n719 '99' 2\n720 ':\"' 2\n721 ':#' 2\n722 ':$' 2\n723 ':%' 2\n724 \":'\" 2\n725 ':(' 2\n726 ':)' 2\n727 ':*' 2\n728 ':,' 2\n729 ':-' 2\n730 ':.' 2\n731 ':/' 2\n732 '::' 2\n733 ':=' 2\n734 ':@' 2\n735 ':[' 2\n736 ':\\\\' 2\n737 ':]' 2\n738 ':_' 2\n739 ':`' 2\n740 ':{' 2\n741 ';\"' 2\n742 ';&' 2\n743 \";'\" 2\n744 ';-' 2\n745 ';/' 2\n746 ';;' 2\n747 ';<' 2\n748 ';\\\\' 2\n749 ';}' 2\n750 '<!' 2\n751 '<%' 2\n752 \"<'\" 2\n753 '<-' 2\n754 '</' 2\n755 '<<' 2\n756 '<=' 2\n757 '<>' 2\n758 '<?' 2\n759 '<\\\\' 2\n760 '<_' 2\n761 '=\"' 2\n762 '=#' 2\n763 '=$' 2\n764 '=%' 2\n765 '=&' 2\n766 \"='\" 2\n767 '=(' 2\n768 '=-' 2\n769 '=.' 2\n770 '=/' 2\n771 '=<' 2\n772 '==' 2\n773 '=>' 2\n774 '=[' 2\n775 '=\\\\' 2\n776 '=_' 2\n777 '=`' 2\n778 '={' 2\n779 '>\"' 2\n780 '>&' 2\n781 \">'\" 2\n782 '>(' 2\n783 '>)' 2\n784 '>,' 2\n785 '>-' 2\n786 '>.' 2\n787 '>/' 2\n788 '>:' 2\n789 '>;' 2\n790 '><' 2\n791 '>=' 2\n792 '>>' 2\n793 '>[' 2\n794 '>\\\\' 2\n795 '>]' 2\n796 '>`' 2\n797 '>{' 2\n798 '?!' 2\n799 '?\"' 2\n800 \"?'\" 2\n801 '?(' 2\n802 '?)' 2\n803 '?,' 2\n804 '?.' 2\n805 '?:' 2\n806 '?>' 2\n807 '??' 2\n808 '?\\\\' 2\n809 '@\"' 2\n810 '@@' 2\n811 '@{' 2\n812 'AA' 2\n813 'AB' 2\n814 'AC' 2\n815 'AD' 2\n816 'AE' 2\n817 'AF' 2\n818 'AG' 2\n819 'AH' 2\n820 'AI' 2\n821 'AJ' 2\n822 'AK' 2\n823 'AL' 2\n824 'AM' 2\n825 'AN' 2\n826 'AO' 2\n827 'AP' 2\n828 'AQ' 2\n829 'AR' 2\n830 'AS' 2\n831 'AT' 2\n832 'AU' 2\n833 'AV' 2\n834 'AW' 2\n835 'AX' 2\n836 'AY' 2\n837 'AZ' 2\n838 'Ab' 2\n839 'Ac' 2\n840 'Ad' 2\n841 'Af' 2\n842 'Ag' 2\n843 'Ah' 2\n844 'Ai' 2\n845 'Aj' 2\n846 'Ak' 2\n847 'Al' 2\n848 'Am' 2\n849 'An' 2\n850 'Ao' 2\n851 'Ap' 2\n852 'Ar' 2\n853 'As' 2\n854 'At' 2\n855 'Au' 2\n856 'Av' 2\n857 'Aw' 2\n858 'Ax' 2\n859 'Ay' 2\n860 'Az' 2\n861 'BA' 2\n862 'BB' 2\n863 'BC' 2\n864 'BD' 2\n865 'BE' 2\n866 'BF' 2\n867 'BG' 2\n868 'BH' 2\n869 'BI' 2\n870 'BJ' 2\n871 'BK' 2\n872 'BL' 2\n873 'BM' 2\n874 'BN' 2\n875 'BO' 2\n876 'BP' 2\n877 'BR' 2\n878 'BS' 2\n879 'BT' 2\n880 'BU' 2\n881 'BV' 2\n882 'BW' 2\n883 'BY' 2\n884 'BZ' 2\n885 'Ba' 2\n886 'Be' 2\n887 'Bg' 2\n888 'Bi' 2\n889 'Bl' 2\n890 'Bo' 2\n891 'Br' 2\n892 'Bs' 2\n893 'Bu' 2\n894 'By' 2\n895 'CA' 2\n896 'CB' 2\n897 'CC' 2\n898 'CD' 2\n899 'CE' 2\n900 'CF' 2\n901 'CG' 2\n902 'CH' 2\n903 'CI' 2\n904 'CK' 2\n905 'CL' 2\n906 'CM' 2\n907 'CN' 2\n908 'CO' 2\n909 'CP' 2\n910 'CR' 2\n911 'CS' 2\n912 'CT' 2\n913 'CU' 2\n914 'CV' 2\n915 'CW' 2\n916 'CX' 2\n917 'CY' 2\n918 'Ca' 2\n919 'Cb' 2\n920 'Cd' 2\n921 'Ce' 2\n922 'Ch' 2\n923 'Ci' 2\n924 'Cl' 2\n925 'Co' 2\n926 'Cp' 2\n927 'Cr' 2\n928 'Cs' 2\n929 'Ct' 2\n930 'Cu' 2\n931 'Cy' 2\n932 'DA' 2\n933 'DB' 2\n934 'DC' 2\n935 'DD' 2\n936 'DE' 2\n937 'DF' 2\n938 'DG' 2\n939 'DH' 2\n940 'DI' 2\n941 'DJ' 2\n942 'DK' 2\n943 'DL' 2\n944 'DM' 2\n945 'DN' 2\n946 'DO' 2\n947 'DP' 2\n948 'DQ' 2\n949 'DR' 2\n950 'DS' 2\n951 'DT' 2\n952 'DU' 2\n953 'DV' 2\n954 'DW' 2\n955 'DX' 2\n956 'DY' 2\n957 'Da' 2\n958 'Db' 2\n959 'De' 2\n960 'Di' 2\n961 'Do' 2\n962 'Dr' 2\n963 'Ds' 2\n964 'Du' 2\n965 'Dy' 2\n966 'EA' 2\n967 'EB' 2\n968 'EC' 2\n969 'ED' 2\n970 'EE' 2\n971 'EF' 2\n972 'EG' 2\n973 'EH' 2\n974 'EI' 2\n975 'EK' 2\n976 'EL' 2\n977 'EM' 2\n978 'EN' 2\n979 'EO' 2\n980 'EP' 2\n981 'EQ' 2\n982 'ER' 2\n983 'ES' 2\n984 'ET' 2\n985 'EU' 2\n986 'EV' 2\n987 'EW' 2\n988 'EX' 2\n989 'EY' 2\n990 'Ec' 2\n991 'Ed' 2\n992 'Eg' 2\n993 'Eh' 2\n994 'El' 2\n995 'Em' 2\n996 'En' 2\n997 'Ep' 2\n998 'Eq' 2\n999 'Er' 2\n1000 'Es' 2\n1001 'Et' 2\n1002 'Eu' 2\n1003 'Ev' 2\n1004 'Ex' 2\n1005 'Ey' 2\n1006 'FA' 2\n1007 'FB' 2\n1008 'FC' 2\n1009 'FD' 2\n1010 'FE' 2\n1011 'FF' 2\n1012 'FG' 2\n1013 'FH' 2\n1014 'FI' 2\n1015 'FK' 2\n1016 'FL' 2\n1017 'FM' 2\n1018 'FN' 2\n1019 'FO' 2\n1020 'FP' 2\n1021 'FR' 2\n1022 'FS' 2\n1023 'FT' 2\n1024 'FU' 2\n1025 'FV' 2\n1026 'FW' 2\n1027 'FX' 2\n1028 'FY' 2\n1029 'Fa' 2\n1030 'Fc' 2\n1031 'Fe' 2\n1032 'Fi' 2\n1033 'Fl' 2\n1034 'Fn' 2\n1035 'Fo' 2\n1036 'Fr' 2\n1037 'Fs' 2\n1038 'Fu' 2\n1039 'GA' 2\n1040 'GB' 2\n1041 'GC' 2\n1042 'GD' 2\n1043 'GE' 2\n1044 'GF' 2\n1045 'GG' 2\n1046 'GH' 2\n1047 'GI' 2\n1048 'GL' 2\n1049 'GM' 2\n1050 'GN' 2\n1051 'GO' 2\n1052 'GP' 2\n1053 'GR' 2\n1054 'GS' 2\n1055 'GT' 2\n1056 'GU' 2\n1057 'GV' 2\n1058 'GW' 2\n1059 'GY' 2\n1060 'Ga' 2\n1061 'Gb' 2\n1062 'Ge' 2\n1063 'Gh' 2\n1064 'Gi' 2\n1065 'Gl' 2\n1066 'Go' 2\n1067 'Gr' 2\n1068 'Gs' 2\n1069 'Gu' 2\n1070 'Gy' 2\n1071 'HA' 2\n1072 'HB' 2\n1073 'HC' 2\n1074 'HD' 2\n1075 'HE' 2\n1076 'HF' 2\n1077 'HG' 2\n1078 'HH' 2\n1079 'HI' 2\n1080 'HK' 2\n1081 'HL' 2\n1082 'HM' 2\n1083 'HN' 2\n1084 'HO' 2\n1085 'HP' 2\n1086 'HQ' 2\n1087 'HR' 2\n1088 'HS' 2\n1089 'HT' 2\n1090 'HU' 2\n1091 'HV' 2\n1092 'HW' 2\n1093 'HY' 2\n1094 'Ha' 2\n1095 'He' 2\n1096 'Hg' 2\n1097 'Hi' 2\n1098 'Ho' 2\n1099 'Hp' 2\n1100 'Hs' 2\n1101 'Hu' 2\n1102 'Hy' 2\n1103 'Hz' 2\n1104 'IA' 2\n1105 'IB' 2\n1106 'IC' 2\n1107 'ID' 2\n1108 'IE' 2\n1109 'IF' 2\n1110 'IG' 2\n1111 'IH' 2\n1112 'II' 2\n1113 'IJ' 2\n1114 'IK' 2\n1115 'IL' 2\n1116 'IM' 2\n1117 'IN' 2\n1118 'IO' 2\n1119 'IP' 2\n1120 'IQ' 2\n1121 'IR' 2\n1122 'IS' 2\n1123 'IT' 2\n1124 'IU' 2\n1125 'IV' 2\n1126 'IW' 2\n1127 'IX' 2\n1128 'IZ' 2\n1129 'Id' 2\n1130 'If' 2\n1131 'Ig' 2\n1132 'Ii' 2\n1133 'Ik' 2\n1134 'Il' 2\n1135 'Im' 2\n1136 'In' 2\n1137 'Io' 2\n1138 'Ip' 2\n1139 'Ir' 2\n1140 'Is' 2\n1141 'It' 2\n1142 'Iz' 2\n1143 'JA' 2\n1144 'JB' 2\n1145 'JC' 2\n1146 'JD' 2\n1147 'JE' 2\n1148 'JF' 2\n1149 'JI' 2\n1150 'JJ' 2\n1151 'JK' 2\n1152 'JM' 2\n1153 'JO' 2\n1154 'JP' 2\n1155 'JR' 2\n1156 'JS' 2\n1157 'JT' 2\n1158 'JU' 2\n1159 'Ja' 2\n1160 'Je' 2\n1161 'Ji' 2\n1162 'Jo' 2\n1163 'Js' 2\n1164 'Ju' 2\n1165 'Jy' 2\n1166 'KA' 2\n1167 'KB' 2\n1168 'KC' 2\n1169 'KD' 2\n1170 'KE' 2\n1171 'KF' 2\n1172 'KG' 2\n1173 'KH' 2\n1174 'KI' 2\n1175 'KK' 2\n1176 'KL' 2\n1177 'KM' 2\n1178 'KN' 2\n1179 'KO' 2\n1180 'KP' 2\n1181 'KR' 2\n1182 'KS' 2\n1183 'KT' 2\n1184 'KV' 2\n1185 'KW' 2\n1186 'KY' 2\n1187 'Ka' 2\n1188 'Ke' 2\n1189 'Kh' 2\n1190 'Ki' 2\n1191 'Kn' 2\n1192 'Ko' 2\n1193 'Kr' 2\n1194 'Ku' 2\n1195 'Ky' 2\n1196 'LA' 2\n1197 'LB' 2\n1198 'LC' 2\n1199 'LD' 2\n1200 'LE' 2\n1201 'LF' 2\n1202 'LG' 2\n1203 'LH' 2\n1204 'LI' 2\n1205 'LL' 2\n1206 'LM' 2\n1207 'LN' 2\n1208 'LO' 2\n1209 'LP' 2\n1210 'LR' 2\n1211 'LS' 2\n1212 'LT' 2\n1213 'LU' 2\n1214 'LV' 2\n1215 'LW' 2\n1216 'LY' 2\n1217 'La' 2\n1218 'Le' 2\n1219 'Li' 2\n1220 'Ll' 2\n1221 'Ln' 2\n1222 'Lo' 2\n1223 'Lt' 2\n1224 'Lu' 2\n1225 'Ly' 2\n1226 'MA' 2\n1227 'MB' 2\n1228 'MC' 2\n1229 'MD' 2\n1230 'ME' 2\n1231 'MF' 2\n1232 'MG' 2\n1233 'MH' 2\n1234 'MI' 2\n1235 'MK' 2\n1236 'ML' 2\n1237 'MM' 2\n1238 'MN' 2\n1239 'MO' 2\n1240 'MP' 2\n1241 'MQ' 2\n1242 'MR' 2\n1243 'MS' 2\n1244 'MT' 2\n1245 'MU' 2\n1246 'MV' 2\n1247 'MW' 2\n1248 'MX' 2\n1249 'MY' 2\n1250 'Ma' 2\n1251 'Mb' 2\n1252 'Mc' 2\n1253 'Me' 2\n1254 'Mg' 2\n1255 'Mi' 2\n1256 'Mj' 2\n1257 'Mn' 2\n1258 'Mo' 2\n1259 'Mp' 2\n1260 'Mr' 2\n1261 'Ms' 2\n1262 'Mt' 2\n1263 'Mu' 2\n1264 'My' 2\n1265 'Mz' 2\n1266 'NA' 2\n1267 'NB' 2\n1268 'NC' 2\n1269 'ND' 2\n1270 'NE' 2\n1271 'NF' 2\n1272 'NG' 2\n1273 'NH' 2\n1274 'NI' 2\n1275 'NJ' 2\n1276 'NK' 2\n1277 'NL' 2\n1278 'NM' 2\n1279 'NN' 2\n1280 'NO' 2\n1281 'NP' 2\n1282 'NR' 2\n1283 'NS' 2\n1284 'NT' 2\n1285 'NU' 2\n1286 'NV' 2\n1287 'NW' 2\n1288 'NX' 2\n1289 'NY' 2\n1290 'NZ' 2\n1291 'Na' 2\n1292 'Nb' 2\n1293 'Nd' 2\n1294 'Ne' 2\n1295 'Ng' 2\n1296 'Ni' 2\n1297 'No' 2\n1298 'Nr' 2\n1299 'Ns' 2\n1300 'Nu' 2\n1301 'Nx' 2\n1302 'Ny' 2\n1303 'Nz' 2\n1304 'OA' 2\n1305 'OB' 2\n1306 'OC' 2\n1307 'OD' 2\n1308 'OE' 2\n1309 'OF' 2\n1310 'OG' 2\n1311 'OH' 2\n1312 'OI' 2\n1313 'OK' 2\n1314 'OL' 2\n1315 'OM' 2\n1316 'ON' 2\n1317 'OO' 2\n1318 'OP' 2\n1319 'OR' 2\n1320 'OS' 2\n1321 'OT' 2\n1322 'OU' 2\n1323 'OV' 2\n1324 'OW' 2\n1325 'OX' 2\n1326 'OY' 2\n1327 'Ob' 2\n1328 'Oc' 2\n1329 'Od' 2\n1330 'Of' 2\n1331 'Oh' 2\n1332 'Oi' 2\n1333 'Ok' 2\n1334 'Ol' 2\n1335 'Om' 2\n1336 'On' 2\n1337 'Op' 2\n1338 'Or' 2\n1339 'Os' 2\n1340 'Ot' 2\n1341 'Ox' 2\n1342 'PA' 2\n1343 'PB' 2\n1344 'PC' 2\n1345 'PD' 2\n1346 'PE' 2\n1347 'PF' 2\n1348 'PG' 2\n1349 'PH' 2\n1350 'PI' 2\n1351 'PK' 2\n1352 'PL' 2\n1353 'PM' 2\n1354 'PN' 2\n1355 'PO' 2\n1356 'PP' 2\n1357 'PR' 2\n1358 'PS' 2\n1359 'PT' 2\n1360 'PU' 2\n1361 'PV' 2\n1362 'PW' 2\n1363 'PY' 2\n1364 'Pa' 2\n1365 'Pb' 2\n1366 'Pe' 2\n1367 'Ph' 2\n1368 'Pi' 2\n1369 'Pl' 2\n1370 'Po' 2\n1371 'Pr' 2\n1372 'Ps' 2\n1373 'Pt' 2\n1374 'Pu' 2\n1375 'Px' 2\n1376 'Py' 2\n1377 'QA' 2\n1378 'QB' 2\n1379 'QC' 2\n1380 'QE' 2\n1381 'QI' 2\n1382 'QL' 2\n1383 'QM' 2\n1384 'QP' 2\n1385 'QQ' 2\n1386 'QR' 2\n1387 'QS' 2\n1388 'QT' 2\n1389 'QU' 2\n1390 'Qi' 2\n1391 'Qt' 2\n1392 'Qu' 2\n1393 'RA' 2\n1394 'RB' 2\n1395 'RC' 2\n1396 'RD' 2\n1397 'RE' 2\n1398 'RF' 2\n1399 'RG' 2\n1400 'RH' 2\n1401 'RI' 2\n1402 'RK' 2\n1403 'RL' 2\n1404 'RM' 2\n1405 'RN' 2\n1406 'RO' 2\n1407 'RP' 2\n1408 'RR' 2\n1409 'RS' 2\n1410 'RT' 2\n1411 'RU' 2\n1412 'RV' 2\n1413 'RW' 2\n1414 'RX' 2\n1415 'RY' 2\n1416 'Ra' 2\n1417 'Re' 2\n1418 'Rh' 2\n1419 'Ri' 2\n1420 'Ro' 2\n1421 'Rp' 2\n1422 'Rs' 2\n1423 'Ru' 2\n1424 'Rv' 2\n1425 'Rx' 2\n1426 'Ry' 2\n1427 'SA' 2\n1428 'SB' 2\n1429 'SC' 2\n1430 'SD' 2\n1431 'SE' 2\n1432 'SF' 2\n1433 'SG' 2\n1434 'SH' 2\n1435 'SI' 2\n1436 'SK' 2\n1437 'SL' 2\n1438 'SM' 2\n1439 'SN' 2\n1440 'SO' 2\n1441 'SP' 2\n1442 'SQ' 2\n1443 'SR' 2\n1444 'SS' 2\n1445 'ST' 2\n1446 'SU' 2\n1447 'SV' 2\n1448 'SW' 2\n1449 'SY' 2\n1450 'SZ' 2\n1451 'Sa' 2\n1452 'Sb' 2\n1453 'Sc' 2\n1454 'Se' 2\n1455 'Sh' 2\n1456 'Si' 2\n1457 'Sk' 2\n1458 'Sl' 2\n1459 'Sm' 2\n1460 'Sn' 2\n1461 'So' 2\n1462 'Sp' 2\n1463 'Sq' 2\n1464 'Sr' 2\n1465 'St' 2\n1466 'Su' 2\n1467 'Sw' 2\n1468 'Sy' 2\n1469 'Sz' 2\n1470 'TA' 2\n1471 'TB' 2\n1472 'TC' 2\n1473 'TD' 2\n1474 'TE' 2\n1475 'TF' 2\n1476 'TG' 2\n1477 'TH' 2\n1478 'TI' 2\n1479 'TK' 2\n1480 'TL' 2\n1481 'TM' 2\n1482 'TN' 2\n1483 'TO' 2\n1484 'TP' 2\n1485 'TR' 2\n1486 'TS' 2\n1487 'TT' 2\n1488 'TU' 2\n1489 'TV' 2\n1490 'TW' 2\n1491 'TX' 2\n1492 'TY' 2\n1493 'TZ' 2\n1494 'Ta' 2\n1495 'Tc' 2\n1496 'Te' 2\n1497 'Th' 2\n1498 'Ti' 2\n1499 'Tk' 2\n1500 'To' 2\n1501 'Tp' 2\n1502 'Tr' 2\n1503 'Ts' 2\n1504 'Tu' 2\n1505 'Tw' 2\n1506 'Tx' 2\n1507 'Ty' 2\n1508 'UA' 2\n1509 'UB' 2\n1510 'UC' 2\n1511 'UD' 2\n1512 'UE' 2\n1513 'UF' 2\n1514 'UG' 2\n1515 'UH' 2\n1516 'UI' 2\n1517 'UK' 2\n1518 'UL' 2\n1519 'UM' 2\n1520 'UN' 2\n1521 'UP' 2\n1522 'UR' 2\n1523 'US' 2\n1524 'UT' 2\n1525 'UU' 2\n1526 'UV' 2\n1527 'UX' 2\n1528 'UY' 2\n1529 'Ub' 2\n1530 'Uh' 2\n1531 'Ui' 2\n1532 'Uk' 2\n1533 'Ul' 2\n1534 'Um' 2\n1535 'Un' 2\n1536 'Up' 2\n1537 'Ur' 2\n1538 'Us' 2\n1539 'Ut' 2\n1540 'VA' 2\n1541 'VB' 2\n1542 'VC' 2\n1543 'VD' 2\n1544 'VE' 2\n1545 'VF' 2\n1546 'VG' 2\n1547 'VH' 2\n1548 'VI' 2\n1549 'VK' 2\n1550 'VL' 2\n1551 'VM' 2\n1552 'VN' 2\n1553 'VO' 2\n1554 'VP' 2\n1555 'VR' 2\n1556 'VS' 2\n1557 'VT' 2\n1558 'VV' 2\n1559 'Va' 2\n1560 'Ve' 2\n1561 'Vi' 2\n1562 'Vm' 2\n1563 'Vo' 2\n1564 'Vs' 2\n1565 'Vu' 2\n1566 'Vy' 2\n1567 'WA' 2\n1568 'WB' 2\n1569 'WC' 2\n1570 'WD' 2\n1571 'WE' 2\n1572 'WF' 2\n1573 'WG' 2\n1574 'WH' 2\n1575 'WI' 2\n1576 'WK' 2\n1577 'WL' 2\n1578 'WM' 2\n1579 'WN' 2\n1580 'WO' 2\n1581 'WP' 2\n1582 'WR' 2\n1583 'WS' 2\n1584 'WT' 2\n1585 'WV' 2\n1586 'WW' 2\n1587 'WX' 2\n1588 'Wa' 2\n1589 'We' 2\n1590 'Wh' 2\n1591 'Wi' 2\n1592 'Wo' 2\n1593 'Wr' 2\n1594 'Ws' 2\n1595 'Wy' 2\n1596 'XA' 2\n1597 'XB' 2\n1598 'XC' 2\n1599 'XD' 2\n1600 'XF' 2\n1601 'XG' 2\n1602 'XI' 2\n1603 'XL' 2\n1604 'XM' 2\n1605 'XP' 2\n1606 'XR' 2\n1607 'XS' 2\n1608 'XT' 2\n1609 'XV' 2\n1610 'XX' 2\n1611 'XY' 2\n1612 'Xi' 2\n1613 'YA' 2\n1614 'YC' 2\n1615 'YE' 2\n1616 'YL' 2\n1617 'YM' 2\n1618 'YN' 2\n1619 'YO' 2\n1620 'YP' 2\n1621 'YR' 2\n1622 'YS' 2\n1623 'YT' 2\n1624 'YW' 2\n1625 'YX' 2\n1626 'YY' 2\n1627 'Ya' 2\n1628 'Ye' 2\n1629 'Yo' 2\n1630 'Yu' 2\n1631 'ZA' 2\n1632 'ZE' 2\n1633 'ZH' 2\n1634 'ZO' 2\n1635 'ZT' 2\n1636 'ZW' 2\n1637 'ZX' 2\n1638 'ZY' 2\n1639 'ZZ' 2\n1640 'Za' 2\n1641 'Ze' 2\n1642 'Zh' 2\n1643 'Zn' 2\n1644 '[\"' 2\n1645 '[$' 2\n1646 \"['\" 2\n1647 '[(' 2\n1648 '[*' 2\n1649 '[,' 2\n1650 '[-' 2\n1651 '[/' 2\n1652 '[:' 2\n1653 '[@' 2\n1654 '[[' 2\n1655 '[\\\\' 2\n1656 '[]' 2\n1657 '[^' 2\n1658 '[_' 2\n1659 '[{' 2\n1660 '\\\\\"' 2\n1661 '\\\\$' 2\n1662 '\\\\%' 2\n1663 \"\\\\'\" 2\n1664 '\\\\(' 2\n1665 '\\\\)' 2\n1666 '\\\\,' 2\n1667 '\\\\-' 2\n1668 '\\\\.' 2\n1669 '\\\\/' 2\n1670 '\\\\;' 2\n1671 '\\\\<' 2\n1672 '\\\\[' 2\n1673 '\\\\\\\\' 2\n1674 '\\\\]' 2\n1675 '\\\\_' 2\n1676 '\\\\{' 2\n1677 '\\\\}' 2\n1678 ']\"' 2\n1679 ']$' 2\n1680 \"]'\" 2\n1681 '](' 2\n1682 '])' 2\n1683 ']*' 2\n1684 ']+' 2\n1685 '],' 2\n1686 ']-' 2\n1687 '].' 2\n1688 ']/' 2\n1689 ']:' 2\n1690 '];' 2\n1691 ']<' 2\n1692 ']=' 2\n1693 ']>' 2\n1694 ']?' 2\n1695 '][' 2\n1696 ']\\\\' 2\n1697 ']]' 2\n1698 ']_' 2\n1699 ']{' 2\n1700 ']|' 2\n1701 ']}' 2\n1702 '^(' 2\n1703 '^*' 2\n1704 '^-' 2\n1705 '^\\\\' 2\n1706 '^^' 2\n1707 '^{' 2\n1708 '_\"' 2\n1709 '_%' 2\n1710 \"_'\" 2\n1711 '_(' 2\n1712 '_)' 2\n1713 '_*' 2\n1714 '_,' 2\n1715 '_-' 2\n1716 '_.' 2\n1717 '_:' 2\n1718 '_;' 2\n1719 '_<' 2\n1720 '_>' 2\n1721 '_[' 2\n1722 '_\\\\' 2\n1723 '_]' 2\n1724 '__' 2\n1725 '_{' 2\n1726 '`)' 2\n1727 '`,' 2\n1728 '`.' 2\n1729 '`:' 2\n1730 '`;' 2\n1731 '`\\\\' 2\n1732 '``' 2\n1733 'aa' 2\n1734 'ab' 2\n1735 'ac' 2\n1736 'ad' 2\n1737 'ae' 2\n1738 'af' 2\n1739 'ag' 2\n1740 'ah' 2\n1741 'ai' 2\n1742 'aj' 2\n1743 'ak' 2\n1744 'al' 2\n1745 'am' 2\n1746 'an' 2\n1747 'ao' 2\n1748 'ap' 2\n1749 'aq' 2\n1750 'ar' 2\n1751 'as' 2\n1752 'at' 2\n1753 'au' 2\n1754 'av' 2\n1755 'aw' 2\n1756 'ax' 2\n1757 'ay' 2\n1758 'az' 2\n1759 'ba' 2\n1760 'bb' 2\n1761 'bc' 2\n1762 'bd' 2\n1763 'be' 2\n1764 'bf' 2\n1765 'bg' 2\n1766 'bh' 2\n1767 'bi' 2\n1768 'bj' 2\n1769 'bk' 2\n1770 'bl' 2\n1771 'bm' 2\n1772 'bn' 2\n1773 'bo' 2\n1774 'bp' 2\n1775 'br' 2\n1776 'bs' 2\n1777 'bt' 2\n1778 'bu' 2\n1779 'bv' 2\n1780 'bw' 2\n1781 'bx' 2\n1782 'by' 2\n1783 'bz' 2\n1784 'ca' 2\n1785 'cb' 2\n1786 'cc' 2\n1787 'cd' 2\n1788 'ce' 2\n1789 'cf' 2\n1790 'cg' 2\n1791 'ch' 2\n1792 'ci' 2\n1793 'cj' 2\n1794 'ck' 2\n1795 'cl' 2\n1796 'cm' 2\n1797 'cn' 2\n1798 'co' 2\n1799 'cp' 2\n1800 'cq' 2\n1801 'cr' 2\n1802 'cs' 2\n1803 'ct' 2\n1804 'cu' 2\n1805 'cv' 2\n1806 'cw' 2\n1807 'cx' 2\n1808 'cy' 2\n1809 'cz' 2\n1810 'dB' 2\n1811 'dL' 2\n1812 'dT' 2\n1813 'dX' 2\n1814 'da' 2\n1815 'db' 2\n1816 'dc' 2\n1817 'dd' 2\n1818 'de' 2\n1819 'df' 2\n1820 'dg' 2\n1821 'dh' 2\n1822 'di' 2\n1823 'dj' 2\n1824 'dk' 2\n1825 'dl' 2\n1826 'dm' 2\n1827 'dn' 2\n1828 'do' 2\n1829 'dp' 2\n1830 'dq' 2\n1831 'dr' 2\n1832 'ds' 2\n1833 'dt' 2\n1834 'du' 2\n1835 'dv' 2\n1836 'dw' 2\n1837 'dx' 2\n1838 'dy' 2\n1839 'dz' 2\n1840 'ea' 2\n1841 'eb' 2\n1842 'ec' 2\n1843 'ed' 2\n1844 'ee' 2\n1845 'ef' 2\n1846 'eg' 2\n1847 'eh' 2\n1848 'ei' 2\n1849 'ej' 2\n1850 'ek' 2\n1851 'el' 2\n1852 'em' 2\n1853 'en' 2\n1854 'eo' 2\n1855 'ep' 2\n1856 'eq' 2\n1857 'er' 2\n1858 'es' 2\n1859 'et' 2\n1860 'eu' 2\n1861 'ev' 2\n1862 'ew' 2\n1863 'ex' 2\n1864 'ey' 2\n1865 'ez' 2\n1866 'fa' 2\n1867 'fb' 2\n1868 'fc' 2\n1869 'fd' 2\n1870 'fe' 2\n1871 'ff' 2\n1872 'fg' 2\n1873 'fh' 2\n1874 'fi' 2\n1875 'fj' 2\n1876 'fk' 2\n1877 'fl' 2\n1878 'fm' 2\n1879 'fn' 2\n1880 'fo' 2\n1881 'fp' 2\n1882 'fq' 2\n1883 'fr' 2\n1884 'fs' 2\n1885 'ft' 2\n1886 'fu' 2\n1887 'fv' 2\n1888 'fw' 2\n1889 'fx' 2\n1890 'fy' 2\n1891 'ga' 2\n1892 'gb' 2\n1893 'gc' 2\n1894 'gd' 2\n1895 'ge' 2\n1896 'gf' 2\n1897 'gg' 2\n1898 'gh' 2\n1899 'gi' 2\n1900 'gl' 2\n1901 'gm' 2\n1902 'gn' 2\n1903 'go' 2\n1904 'gp' 2\n1905 'gr' 2\n1906 'gs' 2\n1907 'gt' 2\n1908 'gu' 2\n1909 'gv' 2\n1910 'gw' 2\n1911 'gx' 2\n1912 'gy' 2\n1913 'gz' 2\n1914 'ha' 2\n1915 'hb' 2\n1916 'hc' 2\n1917 'hd' 2\n1918 'he' 2\n1919 'hf' 2\n1920 'hg' 2\n1921 'hh' 2\n1922 'hi' 2\n1923 'hj' 2\n1924 'hk' 2\n1925 'hl' 2\n1926 'hm' 2\n1927 'hn' 2\n1928 'ho' 2\n1929 'hp' 2\n1930 'hr' 2\n1931 'hs' 2\n1932 'ht' 2\n1933 'hu' 2\n1934 'hw' 2\n1935 'hy' 2\n1936 'hz' 2\n1937 'ia' 2\n1938 'ib' 2\n1939 'ic' 2\n1940 'id' 2\n1941 'ie' 2\n1942 'if' 2\n1943 'ig' 2\n1944 'ih' 2\n1945 'ii' 2\n1946 'ij' 2\n1947 'ik' 2\n1948 'il' 2\n1949 'im' 2\n1950 'in' 2\n1951 'io' 2\n1952 'ip' 2\n1953 'iq' 2\n1954 'ir' 2\n1955 'is' 2\n1956 'it' 2\n1957 'iu' 2\n1958 'iv' 2\n1959 'iw' 2\n1960 'ix' 2\n1961 'iy' 2\n1962 'iz' 2\n1963 'ja' 2\n1964 'jb' 2\n1965 'jc' 2\n1966 'jd' 2\n1967 'je' 2\n1968 'jh' 2\n1969 'ji' 2\n1970 'jj' 2\n1971 'jk' 2\n1972 'jl' 2\n1973 'jm' 2\n1974 'jn' 2\n1975 'jo' 2\n1976 'jp' 2\n1977 'jq' 2\n1978 'jr' 2\n1979 'js' 2\n1980 'jt' 2\n1981 'ju' 2\n1982 'jv' 2\n1983 'kB' 2\n1984 'ka' 2\n1985 'kb' 2\n1986 'kc' 2\n1987 'kd' 2\n1988 'ke' 2\n1989 'kg' 2\n1990 'kh' 2\n1991 'ki' 2\n1992 'kj' 2\n1993 'kk' 2\n1994 'kl' 2\n1995 'km' 2\n1996 'kn' 2\n1997 'ko' 2\n1998 'kp' 2\n1999 'kr' 2\n2000 'ks' 2\n2001 'kt' 2\n2002 'ku' 2\n2003 'kv' 2\n2004 'kw' 2\n2005 'kx' 2\n2006 'ky' 2\n2007 'la' 2\n2008 'lb' 2\n2009 'lc' 2\n2010 'ld' 2\n2011 'le' 2\n2012 'lf' 2\n2013 'lg' 2\n2014 'lh' 2\n2015 'li' 2\n2016 'lj' 2\n2017 'lk' 2\n2018 'll' 2\n2019 'lm' 2\n2020 'ln' 2\n2021 'lo' 2\n2022 'lp' 2\n2023 'lr' 2\n2024 'ls' 2\n2025 'lt' 2\n2026 'lu' 2\n2027 'lv' 2\n2028 'lw' 2\n2029 'lx' 2\n2030 'ly' 2\n2031 'lz' 2\n2032 'mL' 2\n2033 'mV' 2\n2034 'ma' 2\n2035 'mb' 2\n2036 'mc' 2\n2037 'md' 2\n2038 'me' 2\n2039 'mf' 2\n2040 'mg' 2\n2041 'mh' 2\n2042 'mi' 2\n2043 'mj' 2\n2044 'mk' 2\n2045 'ml' 2\n2046 'mm' 2\n2047 'mn' 2\n2048 'mo' 2\n2049 'mp' 2\n2050 'mq' 2\n2051 'mr' 2\n2052 'ms' 2\n2053 'mt' 2\n2054 'mu' 2\n2055 'mv' 2\n2056 'mw' 2\n2057 'mx' 2\n2058 'my' 2\n2059 'na' 2\n2060 'nb' 2\n2061 'nc' 2\n2062 'nd' 2\n2063 'ne' 2\n2064 'nf' 2\n2065 'ng' 2\n2066 'nh' 2\n2067 'ni' 2\n2068 'nj' 2\n2069 'nk' 2\n2070 'nl' 2\n2071 'nm' 2\n2072 'nn' 2\n2073 'no' 2\n2074 'np' 2\n2075 'nr' 2\n2076 'ns' 2\n2077 'nt' 2\n2078 'nu' 2\n2079 'nv' 2\n2080 'nw' 2\n2081 'nx' 2\n2082 'ny' 2\n2083 'nz' 2\n2084 'oS' 2\n2085 'oa' 2\n2086 'ob' 2\n2087 'oc' 2\n2088 'od' 2\n2089 'oe' 2\n2090 'of' 2\n2091 'og' 2\n2092 'oh' 2\n2093 'oi' 2\n2094 'oj' 2\n2095 'ok' 2\n2096 'ol' 2\n2097 'om' 2\n2098 'on' 2\n2099 'oo' 2\n2100 'op' 2\n2101 'or' 2\n2102 'os' 2\n2103 'ot' 2\n2104 'ou' 2\n2105 'ov' 2\n2106 'ow' 2\n2107 'ox' 2\n2108 'oy' 2\n2109 'oz' 2\n2110 'pH' 2\n2111 'pa' 2\n2112 'pb' 2\n2113 'pc' 2\n2114 'pd' 2\n2115 'pe' 2\n2116 'pf' 2\n2117 'pg' 2\n2118 'ph' 2\n2119 'pi' 2\n2120 'pk' 2\n2121 'pl' 2\n2122 'pm' 2\n2123 'pn' 2\n2124 'po' 2\n2125 'pp' 2\n2126 'pq' 2\n2127 'pr' 2\n2128 'ps' 2\n2129 'pt' 2\n2130 'pu' 2\n2131 'pv' 2\n2132 'pw' 2\n2133 'px' 2\n2134 'py' 2\n2135 'qa' 2\n2136 'qb' 2\n2137 'qc' 2\n2138 'qd' 2\n2139 'qh' 2\n2140 'qi' 2\n2141 'ql' 2\n2142 'qn' 2\n2143 'qp' 2\n2144 'qq' 2\n2145 'qr' 2\n2146 'qs' 2\n2147 'qt' 2\n2148 'qu' 2\n2149 'qv' 2\n2150 'qw' 2\n2151 'ra' 2\n2152 'rb' 2\n2153 'rc' 2\n2154 'rd' 2\n2155 're' 2\n2156 'rf' 2\n2157 'rg' 2\n2158 'rh' 2\n2159 'ri' 2\n2160 'rk' 2\n2161 'rl' 2\n2162 'rm' 2\n2163 'rn' 2\n2164 'ro' 2\n2165 'rp' 2\n2166 'rq' 2\n2167 'rr' 2\n2168 'rs' 2\n2169 'rt' 2\n2170 'ru' 2\n2171 'rv' 2\n2172 'rw' 2\n2173 'rx' 2\n2174 'ry' 2\n2175 'rz' 2\n2176 'sa' 2\n2177 'sb' 2\n2178 'sc' 2\n2179 'sd' 2\n2180 'se' 2\n2181 'sf' 2\n2182 'sg' 2\n2183 'sh' 2\n2184 'si' 2\n2185 'sj' 2\n2186 'sk' 2\n2187 'sl' 2\n2188 'sm' 2\n2189 'sn' 2\n2190 'so' 2\n2191 'sp' 2\n2192 'sq' 2\n2193 'sr' 2\n2194 'ss' 2\n2195 'st' 2\n2196 'su' 2\n2197 'sv' 2\n2198 'sw' 2\n2199 'sx' 2\n2200 'sy' 2\n2201 'sz' 2\n2202 'ta' 2\n2203 'tb' 2\n2204 'tc' 2\n2205 'td' 2\n2206 'te' 2\n2207 'tf' 2\n2208 'tg' 2\n2209 'th' 2\n2210 'ti' 2\n2211 'tk' 2\n2212 'tl' 2\n2213 'tm' 2\n2214 'tn' 2\n2215 'to' 2\n2216 'tp' 2\n2217 'tr' 2\n2218 'ts' 2\n2219 'tt' 2\n2220 'tu' 2\n2221 'tv' 2\n2222 'tw' 2\n2223 'tx' 2\n2224 'ty' 2\n2225 'tz' 2\n2226 'ua' 2\n2227 'ub' 2\n2228 'uc' 2\n2229 'ud' 2\n2230 'ue' 2\n2231 'uf' 2\n2232 'ug' 2\n2233 'uh' 2\n2234 'ui' 2\n2235 'uj' 2\n2236 'uk' 2\n2237 'ul' 2\n2238 'um' 2\n2239 'un' 2\n2240 'uo' 2\n2241 'up' 2\n2242 'ur' 2\n2243 'us' 2\n2244 'ut' 2\n2245 'uu' 2\n2246 'uv' 2\n2247 'uw' 2\n2248 'ux' 2\n2249 'uy' 2\n2250 'uz' 2\n2251 'va' 2\n2252 'vb' 2\n2253 'vc' 2\n2254 'vd' 2\n2255 've' 2\n2256 'vf' 2\n2257 'vg' 2\n2258 'vh' 2\n2259 'vi' 2\n2260 'vk' 2\n2261 'vl' 2\n2262 'vm' 2\n2263 'vn' 2\n2264 'vo' 2\n2265 'vp' 2\n2266 'vr' 2\n2267 'vs' 2\n2268 'vt' 2\n2269 'vu' 2\n2270 'vv' 2\n2271 'vw' 2\n2272 'vx' 2\n2273 'vy' 2\n2274 'wa' 2\n2275 'wb' 2\n2276 'wc' 2\n2277 'wd' 2\n2278 'we' 2\n2279 'wf' 2\n2280 'wg' 2\n2281 'wh' 2\n2282 'wi' 2\n2283 'wk' 2\n2284 'wl' 2\n2285 'wm' 2\n2286 'wn' 2\n2287 'wo' 2\n2288 'wp' 2\n2289 'wr' 2\n2290 'ws' 2\n2291 'wt' 2\n2292 'wu' 2\n2293 'ww' 2\n2294 'wx' 2\n2295 'wy' 2\n2296 'xA' 2\n2297 'xB' 2\n2298 'xC' 2\n2299 'xD' 2\n2300 'xE' 2\n2301 'xF' 2\n2302 'xa' 2\n2303 'xb' 2\n2304 'xc' 2\n2305 'xd' 2\n2306 'xe' 2\n2307 'xf' 2\n2308 'xg' 2\n2309 'xh' 2\n2310 'xi' 2\n2311 'xl' 2\n2312 'xm' 2\n2313 'xn' 2\n2314 'xo' 2\n2315 'xp' 2\n2316 'xr' 2\n2317 'xs' 2\n2318 'xt' 2\n2319 'xu' 2\n2320 'xx' 2\n2321 'xy' 2\n2322 'xz' 2\n2323 'ya' 2\n2324 'yb' 2\n2325 'yc' 2\n2326 'yd' 2\n2327 'ye' 2\n2328 'yg' 2\n2329 'yi' 2\n2330 'yk' 2\n2331 'yl' 2\n2332 'ym' 2\n2333 'yn' 2\n2334 'yo' 2\n2335 'yp' 2\n2336 'yr' 2\n2337 'ys' 2\n2338 'yt' 2\n2339 'yu' 2\n2340 'yw' 2\n2341 'yx' 2\n2342 'yy' 2\n2343 'yz' 2\n2344 'zA' 2\n2345 'za' 2\n2346 'zb' 2\n2347 'zc' 2\n2348 'zd' 2\n2349 'ze' 2\n2350 'zh' 2\n2351 'zi' 2\n2352 'zk' 2\n2353 'zl' 2\n2354 'zm' 2\n2355 'zn' 2\n2356 'zo' 2\n2357 'zr' 2\n2358 'zs' 2\n2359 'zt' 2\n2360 'zu' 2\n2361 'zw' 2\n2362 'zy' 2\n2363 'zz' 2\n2364 '{\"' 2\n2365 '{$' 2\n2366 '{%' 2\n2367 \"{'\" 2\n2368 '{(' 2\n2369 '{-' 2\n2370 '{:' 2\n2371 '{@' 2\n2372 '{\\\\' 2\n2373 '{{' 2\n2374 '{|' 2\n2375 '{}' 2\n2376 '|$' 2\n2377 '|(' 2\n2378 '|-' 2\n2379 '|.' 2\n2380 '|\\\\' 2\n2381 '|^' 2\n2382 '||' 2\n2383 '}\"' 2\n2384 '}$' 2\n2385 '}%' 2\n2386 '}&' 2\n2387 \"}'\" 2\n2388 '}(' 2\n2389 '})' 2\n2390 '}+' 2\n2391 '},' 2\n2392 '}-' 2\n2393 '}.' 2\n2394 '}/' 2\n2395 '}:' 2\n2396 '};' 2\n2397 '}<' 2\n2398 '}=' 2\n2399 '}>' 2\n2400 '}?' 2\n2401 '}[' 2\n2402 '}\\\\' 2\n2403 '}]' 2\n2404 '}_' 2\n2405 '}`' 2\n2406 '}{' 2\n2407 '}|' 2\n2408 '}}' 2\n2409 '~/' 2\n2410 '~\\\\' 2\n2411 '~~' 2\n2412 b'\\x82\\xac' 2\n2413 b'\\x83\\xbd' 2\n2414 b'\\x86\\x92' 2\n2415 b'\\x88\\x98' 2\n2416 b'\\x8c\\x80' 2\n2417 b'\\x99\\x82' 2\n2418 b'\\x9d\\xbc' 2\n2419 b'\\xa3\\xbc' 2\n2420 b'\\xa6\\x82' 2\n2421 b'\\xb7\\xb8' 2\n2422 b'\\xbf\\xbd' 2\n2423 '\\x80' 2\n2424 '\\x81' 2\n2425 '\\x91' 2\n2426 '\\x92' 2\n2427 '\\x93' 2\n2428 '\\x94' 2\n2429 '\\x97' 2\n2430 '\\xa0' 2\n2431 '¡' 2\n2432 '¢' 2\n2433 '£' 2\n2434 '¤' 2\n2435 '¥' 2\n2436 '¦' 2\n2437 '§' 2\n2438 '¨' 2\n2439 '©' 2\n2440 'ª' 2\n2441 '«' 2\n2442 '¬' 2\n2443 '\\xad' 2\n2444 '®' 2\n2445 '¯' 2\n2446 '°' 2\n2447 '±' 2\n2448 '²' 2\n2449 '³' 2\n2450 '´' 2\n2451 'µ' 2\n2452 '¶' 2\n2453 '·' 2\n2454 '¸' 2\n2455 '¹' 2\n2456 'º' 2\n2457 '»' 2\n2458 '¼' 2\n2459 '½' 2\n2460 '¾' 2\n2461 '¿' 2\n2462 'À' 2\n2463 'Á' 2\n2464 'Â' 2\n2465 'Ã' 2\n2466 'Ä' 2\n2467 'Å' 2\n2468 'Æ' 2\n2469 'Ç' 2\n2470 'È' 2\n2471 'É' 2\n2472 'Ê' 2\n2473 'Ë' 2\n2474 'Ì' 2\n2475 'Í' 2\n2476 'Î' 2\n2477 'Ï' 2\n2478 'Ð' 2\n2479 'Ñ' 2\n2480 'Ò' 2\n2481 'Ó' 2\n2482 'Ô' 2\n2483 'Õ' 2\n2484 'Ö' 2\n2485 '×' 2\n2486 'Ø' 2\n2487 'Ù' 2\n2488 'Ú' 2\n2489 'Û' 2\n2490 'Ü' 2\n2491 'Ý' 2\n2492 'Þ' 2\n2493 'ß' 2\n2494 'à' 2\n2495 'á' 2\n2496 'â' 2\n2497 'ã' 2\n2498 'ä' 2\n2499 'å' 2\n2500 'æ' 2\n2501 'ç' 2\n2502 'è' 2\n2503 'é' 2\n2504 'ê' 2\n2505 'ë' 2\n2506 'ì' 2\n2507 'í' 2\n2508 'î' 2\n2509 'ï' 2\n2510 'ð' 2\n2511 'ñ' 2\n2512 'ò' 2\n2513 'ó' 2\n2514 'ô' 2\n2515 'õ' 2\n2516 'ö' 2\n2517 '÷' 2\n2518 'ø' 2\n2519 'ù' 2\n2520 'ú' 2\n2521 'û' 2\n2522 'ü' 2\n2523 'ý' 2\n2524 'þ' 2\n2525 'ÿ' 2\n2526 'Ā' 2\n2527 'ā' 2\n2528 'Ă' 2\n2529 'ă' 2\n2530 'ą' 2\n2531 'Ć' 2\n2532 'ć' 2\n2533 'ĉ' 2\n2534 'ċ' 2\n2535 'Č' 2\n2536 'č' 2\n2537 'Ď' 2\n2538 'ď' 2\n2539 'Đ' 2\n2540 'đ' 2\n2541 'Ē' 2\n2542 'ē' 2\n2543 'ĕ' 2\n2544 'Ė' 2\n2545 'ė' 2\n2546 'ę' 2\n2547 'Ě' 2\n2548 'ě' 2\n2549 'ĝ' 2\n2550 'ğ' 2\n2551 'Ġ' 2\n2552 'ġ' 2\n2553 'Ħ' 2\n2554 'ħ' 2\n2555 'ĩ' 2\n2556 'Ī' 2\n2557 'ī' 2\n2558 'ĭ' 2\n2559 'į' 2\n2560 'İ' 2\n2561 'ı' 2\n2562 'ķ' 2\n2563 'ļ' 2\n2564 'Ľ' 2\n2565 'ľ' 2\n2566 'Ł' 2\n2567 'ł' 2\n2568 'ń' 2\n2569 'ņ' 2\n2570 'ň' 2\n2571 'ŋ' 2\n2572 'Ō' 2\n2573 'ō' 2\n2574 'ŏ' 2\n2575 'Ő' 2\n2576 'ő' 2\n2577 'Œ' 2\n2578 'œ' 2\n2579 'Ř' 2\n2580 'ř' 2\n2581 'Ś' 2\n2582 'ś' 2\n2583 'ŝ' 2\n2584 'Ş' 2\n2585 'ş' 2\n2586 'Š' 2\n2587 'š' 2\n2588 'Ţ' 2\n2589 'ţ' 2\n2590 'Ť' 2\n2591 'ť' 2\n2592 'ũ' 2\n2593 'ū' 2\n2594 'ŭ' 2\n2595 'ů' 2\n2596 'Ű' 2\n2597 'ű' 2\n2598 'ų' 2\n2599 'Ÿ' 2\n2600 'Ź' 2\n2601 'ź' 2\n2602 'Ż' 2\n2603 'ż' 2\n2604 'Ž' 2\n2605 'ž' 2\n2606 'ſ' 2\n2607 'Ə' 2\n2608 'ƒ' 2\n2609 'ơ' 2\n2610 'ư' 2\n2611 'ǎ' 2\n2612 'ǐ' 2\n2613 'ǒ' 2\n2614 'ǔ' 2\n2615 'ǚ' 2\n2616 'ǧ' 2\n2617 'ǫ' 2\n2618 'Ș' 2\n2619 'ș' 2\n2620 'Ț' 2\n2621 'ț' 2\n2622 'ɐ' 2\n2623 'ɑ' 2\n2624 'ɒ' 2\n2625 'ɔ' 2\n2626 'ɕ' 2\n2627 'ə' 2\n2628 'ɛ' 2\n2629 'ɡ' 2\n2630 'ɣ' 2\n2631 'ɨ' 2\n2632 'ɪ' 2\n2633 'ɫ' 2\n2634 'ɯ' 2\n2635 'ɲ' 2\n2636 'ɵ' 2\n2637 'ɹ' 2\n2638 'ɾ' 2\n2639 'ʀ' 2\n2640 'ʁ' 2\n2641 'ʂ' 2\n2642 'ʃ' 2\n2643 'ʊ' 2\n2644 'ʋ' 2\n2645 'ʌ' 2\n2646 'ʎ' 2\n2647 'ʐ' 2\n2648 'ʑ' 2\n2649 'ʒ' 2\n2650 'ʔ' 2\n2651 'ʰ' 2\n2652 'ʲ' 2\n2653 'ʷ' 2\n2654 'ʹ' 2\n2655 'ʻ' 2\n2656 'ʼ' 2\n2657 'ʾ' 2\n2658 'ʿ' 2\n2659 'ˆ' 2\n2660 'ˇ' 2\n2661 'ˈ' 2\n2662 'ˉ' 2\n2663 'ˊ' 2\n2664 'ˋ' 2\n2665 'ˌ' 2\n2666 'ː' 2\n2667 '˙' 2\n2668 '˚' 2\n2669 '˜' 2\n2670 'ˠ' 2\n2671 '̀' 2\n2672 '́' 2\n2673 '̂' 2\n2674 '̃' 2\n2675 '̄' 2\n2676 '̈' 2\n2677 '̌' 2\n2678 '̍' 2\n2679 '̣' 2\n2680 '̥' 2\n2681 '̩' 2\n2682 '̪' 2\n2683 '̯' 2\n2684 '̱' 2\n2685 '̲' 2\n2686 '̶' 2\n2687 '͒' 2\n2688 '͓' 2\n2689 '͘' 2\n2690 '͡' 2\n2691 'Ά' 2\n2692 'Έ' 2\n2693 'Α' 2\n2694 'Β' 2\n2695 'Γ' 2\n2696 'Δ' 2\n2697 'Ε' 2\n2698 'Ζ' 2\n2699 'Η' 2\n2700 'Θ' 2\n2701 'Ι' 2\n2702 'Κ' 2\n2703 'Λ' 2\n2704 'Μ' 2\n2705 'Ν' 2\n2706 'Ξ' 2\n2707 'Ο' 2\n2708 'Π' 2\n2709 'Ρ' 2\n2710 'Σ' 2\n2711 'Τ' 2\n2712 'Υ' 2\n2713 'Φ' 2\n2714 'Χ' 2\n2715 'Ψ' 2\n2716 'Ω' 2\n2717 'ά' 2\n2718 'έ' 2\n2719 'ή' 2\n2720 'ί' 2\n2721 'α' 2\n2722 'β' 2\n2723 'γ' 2\n2724 'δ' 2\n2725 'ε' 2\n2726 'ζ' 2\n2727 'η' 2\n2728 'θ' 2\n2729 'ι' 2\n2730 'κ' 2\n2731 'λ' 2\n2732 'μ' 2\n2733 'ν' 2\n2734 'ξ' 2\n2735 'ο' 2\n2736 'π' 2\n2737 'ρ' 2\n2738 'ς' 2\n2739 'σ' 2\n2740 'τ' 2\n2741 'υ' 2\n2742 'φ' 2\n2743 'χ' 2\n2744 'ψ' 2\n2745 'ω' 2\n2746 'ϊ' 2\n2747 'ό' 2\n2748 'ύ' 2\n2749 'ώ' 2\n2750 'ϕ' 2\n2751 'ϵ' 2\n2752 'Ё' 2\n2753 'Ђ' 2\n2754 'Є' 2\n2755 'І' 2\n2756 'Ї' 2\n2757 'Ј' 2\n2758 'Љ' 2\n2759 'Њ' 2\n2760 'Ћ' 2\n2761 'Џ' 2\n2762 'А' 2\n2763 'Б' 2\n2764 'В' 2\n2765 'Г' 2\n2766 'Д' 2\n2767 'Е' 2\n2768 'Ж' 2\n2769 'З' 2\n2770 'И' 2\n2771 'Й' 2\n2772 'К' 2\n2773 'Л' 2\n2774 'М' 2\n2775 'Н' 2\n2776 'О' 2\n2777 'П' 2\n2778 'Р' 2\n2779 'С' 2\n2780 'Т' 2\n2781 'У' 2\n2782 'Ф' 2\n2783 'Х' 2\n2784 'Ц' 2\n2785 'Ч' 2\n2786 'Ш' 2\n2787 'Щ' 2\n2788 'Ъ' 2\n2789 'Ы' 2\n2790 'Ь' 2\n2791 'Э' 2\n2792 'Ю' 2\n2793 'Я' 2\n2794 'а' 2\n2795 'б' 2\n2796 'в' 2\n2797 'г' 2\n2798 'д' 2\n2799 'е' 2\n2800 'ж' 2\n2801 'з' 2\n2802 'и' 2\n2803 'й' 2\n2804 'к' 2\n2805 'л' 2\n2806 'м' 2\n2807 'н' 2\n2808 'о' 2\n2809 'п' 2\n2810 'р' 2\n2811 'с' 2\n2812 'т' 2\n2813 'у' 2\n2814 'ф' 2\n2815 'х' 2\n2816 'ц' 2\n2817 'ч' 2\n2818 'ш' 2\n2819 'щ' 2\n2820 'ъ' 2\n2821 'ы' 2\n2822 'ь' 2\n2823 'э' 2\n2824 'ю' 2\n2825 'я' 2\n2826 'ѐ' 2\n2827 'ё' 2\n2828 'ђ' 2\n2829 'є' 2\n2830 'і' 2\n2831 'ї' 2\n2832 'ј' 2\n2833 'љ' 2\n2834 'њ' 2\n2835 'ћ' 2\n2836 'ѝ' 2\n2837 'ў' 2\n2838 'џ' 2\n2839 'ѣ' 2\n2840 'ѫ' 2\n2841 'Ґ' 2\n2842 'ґ' 2\n2843 'ғ' 2\n2844 'Қ' 2\n2845 'қ' 2\n2846 'ҡ' 2\n2847 'ң' 2\n2848 'ү' 2\n2849 'ұ' 2\n2850 'ӏ' 2\n2851 'ә' 2\n2852 'ө' 2\n2853 'Ա' 2\n2854 'Հ' 2\n2855 'Մ' 2\n2856 'Ս' 2\n2857 'ա' 2\n2858 'բ' 2\n2859 'գ' 2\n2860 'դ' 2\n2861 'ե' 2\n2862 'զ' 2\n2863 'թ' 2\n2864 'ի' 2\n2865 'լ' 2\n2866 'կ' 2\n2867 'հ' 2\n2868 'ղ' 2\n2869 'մ' 2\n2870 'յ' 2\n2871 'ն' 2\n2872 'շ' 2\n2873 'ո' 2\n2874 'պ' 2\n2875 'ս' 2\n2876 'վ' 2\n2877 'տ' 2\n2878 'ր' 2\n2879 'ց' 2\n2880 'ւ' 2\n2881 'ք' 2\n2882 'ְ' 2\n2883 'ִ' 2\n2884 'ֵ' 2\n2885 'ֶ' 2\n2886 'ַ' 2\n2887 'ָ' 2\n2888 'ֹ' 2\n2889 'ּ' 2\n2890 'ׁ' 2\n2891 'א' 2\n2892 'ב' 2\n2893 'ג' 2\n2894 'ד' 2\n2895 'ה' 2\n2896 'ו' 2\n2897 'ז' 2\n2898 'ח' 2\n2899 'ט' 2\n2900 'י' 2\n2901 'ך' 2\n2902 'כ' 2\n2903 'ל' 2\n2904 'ם' 2\n2905 'מ' 2\n2906 'ן' 2\n2907 'נ' 2\n2908 'ס' 2\n2909 'ע' 2\n2910 'ף' 2\n2911 'פ' 2\n2912 'ץ' 2\n2913 'צ' 2\n2914 'ק' 2\n2915 'ר' 2\n2916 'ש' 2\n2917 'ת' 2\n2918 '،' 2\n2919 'ء' 2\n2920 'آ' 2\n2921 'أ' 2\n2922 'إ' 2\n2923 'ئ' 2\n2924 'ا' 2\n2925 'ب' 2\n2926 'ة' 2\n2927 'ت' 2\n2928 'ث' 2\n2929 'ج' 2\n2930 'ح' 2\n2931 'خ' 2\n2932 'د' 2\n2933 'ذ' 2\n2934 'ر' 2\n2935 'ز' 2\n2936 'س' 2\n2937 'ش' 2\n2938 'ص' 2\n2939 'ض' 2\n2940 'ط' 2\n2941 'ظ' 2\n2942 'ع' 2\n2943 'غ' 2\n2944 'ـ' 2\n2945 'ف' 2\n2946 'ق' 2\n2947 'ك' 2\n2948 'ل' 2\n2949 'م' 2\n2950 'ن' 2\n2951 'ه' 2\n2952 'و' 2\n2953 'ى' 2\n2954 'ي' 2\n2955 'ً' 2\n2956 'َ' 2\n2957 'ُ' 2\n2958 'ِ' 2\n2959 'ّ' 2\n2960 'ْ' 2\n2961 'پ' 2\n2962 'چ' 2\n2963 'ک' 2\n2964 'گ' 2\n2965 'ھ' 2\n2966 'ہ' 2\n2967 'ی' 2\n2968 'ے' 2\n2969 'ە' 2\n2970 'ܐ' 2\n2971 'ܝ' 2\n2972 '߬' 2\n2973 b'\\xe0\\xa4' 2\n2974 b'\\xe0\\xa5' 2\n2975 b'\\xe0\\xa6' 2\n2976 b'\\xe0\\xa7' 2\n2977 b'\\xe0\\xa8' 2\n2978 b'\\xe0\\xa9' 2\n2979 b'\\xe0\\xaa' 2\n2980 b'\\xe0\\xab' 2\n2981 b'\\xe0\\xac' 2\n2982 b'\\xe0\\xae' 2\n2983 b'\\xe0\\xaf' 2\n2984 b'\\xe0\\xb0' 2\n2985 b'\\xe0\\xb1' 2\n2986 b'\\xe0\\xb2' 2\n2987 b'\\xe0\\xb3' 2\n2988 b'\\xe0\\xb4' 2\n2989 b'\\xe0\\xb5' 2\n2990 b'\\xe0\\xb6' 2\n2991 b'\\xe0\\xb7' 2\n2992 b'\\xe0\\xb8' 2\n2993 b'\\xe0\\xb9' 2\n2994 b'\\xe0\\xba' 2\n2995 b'\\xe0\\xbc' 2\n2996 b'\\xe0\\xbd' 2\n2997 b'\\xe1\\x80' 2\n2998 b'\\xe1\\x83' 2\n2999 b'\\xe1\\x9e' 2\n3000 b'\\xe1\\x9f' 2\n3001 b'\\xe1\\xb8' 2\n3002 b'\\xe1\\xb9' 2\n3003 b'\\xe1\\xba' 2\n3004 b'\\xe1\\xbb' 2\n3005 b'\\xe1\\xbd' 2\n3006 b'\\xe2\\x80' 2\n3007 b'\\xe2\\x81' 2\n3008 b'\\xe2\\x82' 2\n3009 b'\\xe2\\x84' 2\n3010 b'\\xe2\\x86' 2\n3011 b'\\xe2\\x88' 2\n3012 b'\\xe2\\x89' 2\n3013 b'\\xe2\\x94' 2\n3014 b'\\xe2\\x95' 2\n3015 b'\\xe2\\x96' 2\n3016 b'\\xe2\\x97' 2\n3017 b'\\xe2\\x98' 2\n3018 b'\\xe2\\x99' 2\n3019 b'\\xe2\\x9c' 2\n3020 b'\\xe2\\x9d' 2\n3021 b'\\xe3\\x80' 2\n3022 b'\\xe3\\x81' 2\n3023 b'\\xe3\\x82' 2\n3024 b'\\xe3\\x83' 2\n3025 b'\\xe4\\xb8' 2\n3026 b'\\xe4\\xb9' 2\n3027 b'\\xe4\\xba' 2\n3028 b'\\xe4\\xbb' 2\n3029 b'\\xe4\\xbc' 2\n3030 b'\\xe4\\xbd' 2\n3031 b'\\xe4\\xbe' 2\n3032 b'\\xe4\\xbf' 2\n3033 b'\\xe5\\x80' 2\n3034 b'\\xe5\\x81' 2\n3035 b'\\xe5\\x82' 2\n3036 b'\\xe5\\x83' 2\n3037 b'\\xe5\\x84' 2\n3038 b'\\xe5\\x85' 2\n3039 b'\\xe5\\x86' 2\n3040 b'\\xe5\\x87' 2\n3041 b'\\xe5\\x88' 2\n3042 b'\\xe5\\x89' 2\n3043 b'\\xe5\\x8a' 2\n3044 b'\\xe5\\x8b' 2\n3045 b'\\xe5\\x8c' 2\n3046 b'\\xe5\\x8d' 2\n3047 b'\\xe5\\x8e' 2\n3048 b'\\xe5\\x8f' 2\n3049 b'\\xe5\\x90' 2\n3050 b'\\xe5\\x91' 2\n3051 b'\\xe5\\x92' 2\n3052 b'\\xe5\\x93' 2\n3053 b'\\xe5\\x94' 2\n3054 b'\\xe5\\x95' 2\n3055 b'\\xe5\\x96' 2\n3056 b'\\xe5\\x99' 2\n3057 b'\\xe5\\x9b' 2\n3058 b'\\xe5\\x9c' 2\n3059 b'\\xe5\\x9d' 2\n3060 b'\\xe5\\x9e' 2\n3061 b'\\xe5\\x9f' 2\n3062 b'\\xe5\\xa0' 2\n3063 b'\\xe5\\xa1' 2\n3064 b'\\xe5\\xa2' 2\n3065 b'\\xe5\\xa3' 2\n3066 b'\\xe5\\xa4' 2\n3067 b'\\xe5\\xa5' 2\n3068 b'\\xe5\\xa6' 2\n3069 b'\\xe5\\xa7' 2\n3070 b'\\xe5\\xad' 2\n3071 b'\\xe5\\xae' 2\n3072 b'\\xe5\\xaf' 2\n3073 b'\\xe5\\xb0' 2\n3074 b'\\xe5\\xb1' 2\n3075 b'\\xe5\\xb2' 2\n3076 b'\\xe5\\xb7' 2\n3077 b'\\xe5\\xb8' 2\n3078 b'\\xe5\\xb9' 2\n3079 b'\\xe5\\xba' 2\n3080 b'\\xe5\\xbb' 2\n3081 b'\\xe5\\xbc' 2\n3082 b'\\xe5\\xbd' 2\n3083 b'\\xe5\\xbe' 2\n3084 b'\\xe5\\xbf' 2\n3085 b'\\xe6\\x80' 2\n3086 b'\\xe6\\x81' 2\n3087 b'\\xe6\\x82' 2\n3088 b'\\xe6\\x83' 2\n3089 b'\\xe6\\x84' 2\n3090 b'\\xe6\\x85' 2\n3091 b'\\xe6\\x88' 2\n3092 b'\\xe6\\x89' 2\n3093 b'\\xe6\\x8a' 2\n3094 b'\\xe6\\x8b' 2\n3095 b'\\xe6\\x8c' 2\n3096 b'\\xe6\\x8d' 2\n3097 b'\\xe6\\x8e' 2\n3098 b'\\xe6\\x8f' 2\n3099 b'\\xe6\\x91' 2\n3100 b'\\xe6\\x92' 2\n3101 b'\\xe6\\x93' 2\n3102 b'\\xe6\\x94' 2\n3103 b'\\xe6\\x95' 2\n3104 b'\\xe6\\x96' 2\n3105 b'\\xe6\\x97' 2\n3106 b'\\xe6\\x98' 2\n3107 b'\\xe6\\x99' 2\n3108 b'\\xe6\\x9a' 2\n3109 b'\\xe6\\x9b' 2\n3110 b'\\xe6\\x9c' 2\n3111 b'\\xe6\\x9d' 2\n3112 b'\\xe6\\x9e' 2\n3113 b'\\xe6\\x9f' 2\n3114 b'\\xe6\\xa0' 2\n3115 b'\\xe6\\xa1' 2\n3116 b'\\xe6\\xa2' 2\n3117 b'\\xe6\\xa3' 2\n3118 b'\\xe6\\xa5' 2\n3119 b'\\xe6\\xa7' 2\n3120 b'\\xe6\\xa8' 2\n3121 b'\\xe6\\xa9' 2\n3122 b'\\xe6\\xac' 2\n3123 b'\\xe6\\xad' 2\n3124 b'\\xe6\\xae' 2\n3125 b'\\xe6\\xaf' 2\n3126 b'\\xe6\\xb0' 2\n3127 b'\\xe6\\xb1' 2\n3128 b'\\xe6\\xb2' 2\n3129 b'\\xe6\\xb3' 2\n3130 b'\\xe6\\xb4' 2\n3131 b'\\xe6\\xb5' 2\n3132 b'\\xe6\\xb6' 2\n3133 b'\\xe6\\xb7' 2\n3134 b'\\xe6\\xb8' 2\n3135 b'\\xe6\\xb9' 2\n3136 b'\\xe6\\xba' 2\n3137 b'\\xe6\\xbb' 2\n3138 b'\\xe6\\xbc' 2\n3139 b'\\xe7\\x81' 2\n3140 b'\\xe7\\x82' 2\n3141 b'\\xe7\\x84' 2\n3142 b'\\xe7\\x88' 2\n3143 b'\\xe7\\x89' 2\n3144 b'\\xe7\\x8a' 2\n3145 b'\\xe7\\x8e' 2\n3146 b'\\xe7\\x8f' 2\n3147 b'\\xe7\\x90' 2\n3148 b'\\xe7\\x94' 2\n3149 b'\\xe7\\x95' 2\n3150 b'\\xe7\\x97' 2\n3151 b'\\xe7\\x99' 2\n3152 b'\\xe7\\x9a' 2\n3153 b'\\xe7\\x9b' 2\n3154 b'\\xe7\\x9c' 2\n3155 b'\\xe7\\x9d' 2\n3156 b'\\xe7\\x9f' 2\n3157 b'\\xe7\\xa0' 2\n3158 b'\\xe7\\xa1' 2\n3159 b'\\xe7\\xa2' 2\n3160 b'\\xe7\\xa4' 2\n3161 b'\\xe7\\xa5' 2\n3162 b'\\xe7\\xa6' 2\n3163 b'\\xe7\\xa7' 2\n3164 b'\\xe7\\xa8' 2\n3165 b'\\xe7\\xa9' 2\n3166 b'\\xe7\\xaa' 2\n3167 b'\\xe7\\xab' 2\n3168 b'\\xe7\\xac' 2\n3169 b'\\xe7\\xad' 2\n3170 b'\\xe7\\xae' 2\n3171 b'\\xe7\\xaf' 2\n3172 b'\\xe7\\xb1' 2\n3173 b'\\xe7\\xb2' 2\n3174 b'\\xe7\\xb3' 2\n3175 b'\\xe7\\xb4' 2\n3176 b'\\xe7\\xb5' 2\n3177 b'\\xe7\\xb6' 2\n3178 b'\\xe7\\xb7' 2\n3179 b'\\xe7\\xba' 2\n3180 b'\\xe7\\xbb' 2\n3181 b'\\xe7\\xbc' 2\n3182 b'\\xe7\\xbd' 2\n3183 b'\\xe7\\xbe' 2\n3184 b'\\xe7\\xbf' 2\n3185 b'\\xe8\\x80' 2\n3186 b'\\xe8\\x81' 2\n3187 b'\\xe8\\x82' 2\n3188 b'\\xe8\\x83' 2\n3189 b'\\xe8\\x84' 2\n3190 b'\\xe8\\x87' 2\n3191 b'\\xe8\\x88' 2\n3192 b'\\xe8\\x89' 2\n3193 b'\\xe8\\x8a' 2\n3194 b'\\xe8\\x8b' 2\n3195 b'\\xe8\\x8c' 2\n3196 b'\\xe8\\x8d' 2\n3197 b'\\xe8\\x8e' 2\n3198 b'\\xe8\\x90' 2\n3199 b'\\xe8\\x99' 2\n3200 b'\\xe8\\xa1' 2\n3201 b'\\xe8\\xa2' 2\n3202 b'\\xe8\\xa3' 2\n3203 b'\\xe8\\xa6' 2\n3204 b'\\xe8\\xa7' 2\n3205 b'\\xe8\\xa8' 2\n3206 b'\\xe8\\xa9' 2\n3207 b'\\xe8\\xaa' 2\n3208 b'\\xe8\\xab' 2\n3209 b'\\xe8\\xad' 2\n3210 b'\\xe8\\xae' 2\n3211 b'\\xe8\\xaf' 2\n3212 b'\\xe8\\xb0' 2\n3213 b'\\xe8\\xb1' 2\n3214 b'\\xe8\\xb2' 2\n3215 b'\\xe8\\xb3' 2\n3216 b'\\xe8\\xb4' 2\n3217 b'\\xe8\\xb5' 2\n3218 b'\\xe8\\xb6' 2\n3219 b'\\xe8\\xb7' 2\n3220 b'\\xe8\\xba' 2\n3221 b'\\xe8\\xbb' 2\n3222 b'\\xe8\\xbc' 2\n3223 b'\\xe8\\xbd' 2\n3224 b'\\xe8\\xbe' 2\n3225 b'\\xe8\\xbf' 2\n3226 b'\\xe9\\x80' 2\n3227 b'\\xe9\\x81' 2\n3228 b'\\xe9\\x82' 2\n3229 b'\\xe9\\x83' 2\n3230 b'\\xe9\\x85' 2\n3231 b'\\xe9\\x87' 2\n3232 b'\\xe9\\x8c' 2\n3233 b'\\xe9\\x92' 2\n3234 b'\\xe9\\x93' 2\n3235 b'\\xe9\\x94' 2\n3236 b'\\xe9\\x95' 2\n3237 b'\\xe9\\x96' 2\n3238 b'\\xe9\\x97' 2\n3239 b'\\xe9\\x98' 2\n3240 b'\\xe9\\x99' 2\n3241 b'\\xe9\\x9a' 2\n3242 b'\\xe9\\x9b' 2\n3243 b'\\xe9\\x9c' 2\n3244 b'\\xe9\\x9d' 2\n3245 b'\\xe9\\x9f' 2\n3246 b'\\xe9\\xa0' 2\n3247 b'\\xe9\\xa1' 2\n3248 b'\\xe9\\xa2' 2\n3249 b'\\xe9\\xa3' 2\n3250 b'\\xe9\\xa6' 2\n3251 b'\\xe9\\xa9' 2\n3252 b'\\xe9\\xaa' 2\n3253 b'\\xe9\\xab' 2\n3254 b'\\xe9\\xbb' 2\n3255 b'\\xe9\\xbe' 2\n3256 b'\\xea\\xb0' 2\n3257 b'\\xea\\xb1' 2\n3258 b'\\xea\\xb2' 2\n3259 b'\\xea\\xb3' 2\n3260 b'\\xea\\xb5' 2\n3261 b'\\xea\\xb7' 2\n3262 b'\\xea\\xb8' 2\n3263 b'\\xea\\xb9' 2\n3264 b'\\xeb\\x82' 2\n3265 b'\\xeb\\x84' 2\n3266 b'\\xeb\\x85' 2\n3267 b'\\xeb\\x8a' 2\n3268 b'\\xeb\\x8b' 2\n3269 b'\\xeb\\x8d' 2\n3270 b'\\xeb\\x8f' 2\n3271 b'\\xeb\\x90' 2\n3272 b'\\xeb\\x93' 2\n3273 b'\\xeb\\x9e' 2\n3274 b'\\xeb\\x9f' 2\n3275 b'\\xeb\\xa0' 2\n3276 b'\\xeb\\xa1' 2\n3277 b'\\xeb\\xa3' 2\n3278 b'\\xeb\\xa5' 2\n3279 b'\\xeb\\xa6' 2\n3280 b'\\xeb\\xa7' 2\n3281 b'\\xeb\\xa9' 2\n3282 b'\\xeb\\xaa' 2\n3283 b'\\xeb\\xb0' 2\n3284 b'\\xeb\\xb2' 2\n3285 b'\\xeb\\xb3' 2\n3286 b'\\xeb\\xb6' 2\n3287 b'\\xec\\x83' 2\n3288 b'\\xec\\x84' 2\n3289 b'\\xec\\x85' 2\n3290 b'\\xec\\x86' 2\n3291 b'\\xec\\x8a' 2\n3292 b'\\xec\\x8b' 2\n3293 b'\\xec\\x95' 2\n3294 b'\\xec\\x96' 2\n3295 b'\\xec\\x97' 2\n3296 b'\\xec\\x98' 2\n3297 b'\\xec\\x99' 2\n3298 b'\\xec\\x9a' 2\n3299 b'\\xec\\x9b' 2\n3300 b'\\xec\\x9c' 2\n3301 b'\\xec\\x9d' 2\n3302 b'\\xec\\x9e' 2\n3303 b'\\xec\\xa0' 2\n3304 b'\\xec\\xa7' 2\n3305 b'\\xec\\xb0' 2\n3306 b'\\xec\\xb2' 2\n3307 b'\\xec\\xb9' 2\n3308 b'\\xed\\x83' 2\n3309 b'\\xed\\x8a' 2\n3310 b'\\xed\\x8c' 2\n3311 b'\\xed\\x95' 2\n3312 b'\\xed\\x98' 2\n3313 b'\\xed\\x99' 2\n3314 b'\\xef\\xb8' 2\n3315 b'\\xef\\xbc' 2\n3316 b'\\xef\\xbd' 2\n3317 b'\\xef\\xbf' 2\n3318 b'\\xf0\\x9d' 2\n3319 b'\\xf0\\x9f' 2\n3320 '\\t\\t\\t' 3\n3321 '\\t\\t\\n' 3\n3322 '\\t\\t ' 3\n3323 '\\t  ' 3\n3324 '\\n\\t\\t' 3\n3325 '\\n\\t\\n' 3\n3326 '\\n\\t ' 3\n3327 '\\n\\n\\t' 3\n3328 '\\n\\n\\n' 3\n3329 '\\n\\n ' 3\n3330 '\\n \\n' 3\n3331 '\\n  ' 3\n3332 '\\r\\n\\t' 3\n3333 '\\r\\n ' 3\n3334 ' \\t\\t' 3\n3335 ' \\n\\t' 3\n3336 ' \\n\\n' 3\n3337 ' \\n ' 3\n3338 ' \\r\\n' 3\n3339 '  \\n' 3\n3340 '   ' 3\n3341 ' !!' 3\n3342 ' !(' 3\n3343 ' !=' 3\n3344 ' \"\"' 3\n3345 ' \"#' 3\n3346 ' \"$' 3\n3347 ' \"%' 3\n3348 ' \"&' 3\n3349 ' \"\\'' 3\n3350 ' \"(' 3\n3351 ' \")' 3\n3352 ' \"*' 3\n3353 ' \"+' 3\n3354 ' \",' 3\n3355 ' \"-' 3\n3356 ' \".' 3\n3357 ' \"/' 3\n3358 ' \":' 3\n3359 ' \";' 3\n3360 ' \"<' 3\n3361 ' \">' 3\n3362 ' \"@' 3\n3363 ' \"[' 3\n3364 ' \"\\\\' 3\n3365 ' \"]' 3\n3366 ' \"^' 3\n3367 ' \"_' 3\n3368 ' \"`' 3\n3369 ' \"{' 3\n3370 ' \"~' 3\n3371 ' #\"' 3\n3372 ' ##' 3\n3373 ' #(' 3\n3374 ' #:' 3\n3375 ' #[' 3\n3376 ' #{' 3\n3377 ' $$' 3\n3378 ' $(' 3\n3379 ' $,' 3\n3380 ' $.' 3\n3381 ' $\\\\' 3\n3382 ' $_' 3\n3383 ' ${' 3\n3384 ' %%' 3\n3385 ' %.' 3\n3386 ' %>' 3\n3387 ' %{' 3\n3388 ' %}' 3\n3389 ' &#' 3\n3390 ' &$' 3\n3391 ' &&' 3\n3392 ' &=' 3\n3393 ' \\'\"' 3\n3394 \" '#\" 3\n3395 \" '$\" 3\n3396 \" '%\" 3\n3397 \" '&\" 3\n3398 \" ''\" 3\n3399 \" ')\" 3\n3400 \" '*\" 3\n3401 \" '+\" 3\n3402 \" ',\" 3\n3403 \" '-\" 3\n3404 \" '.\" 3\n3405 \" '/\" 3\n3406 \" ':\" 3\n3407 \" ';\" 3\n3408 \" '<\" 3\n3409 \" '@\" 3\n3410 \" '[\" 3\n3411 \" '\\\\\" 3\n3412 \" '_\" 3\n3413 \" '{\" 3\n3414 ' (!' 3\n3415 ' (\"' 3\n3416 ' (#' 3\n3417 ' ($' 3\n3418 ' (%' 3\n3419 ' (&' 3\n3420 \" ('\" 3\n3421 ' ((' 3\n3422 ' ()' 3\n3423 ' (*' 3\n3424 ' (+' 3\n3425 ' (-' 3\n3426 ' (.' 3\n3427 ' (/' 3\n3428 ' (:' 3\n3429 ' (;' 3\n3430 ' (<' 3\n3431 ' (=' 3\n3432 ' (>' 3\n3433 ' (?' 3\n3434 ' (@' 3\n3435 ' ([' 3\n3436 ' (\\\\' 3\n3437 ' (_' 3\n3438 ' (`' 3\n3439 ' ({' 3\n3440 ' ))' 3\n3441 ' ),' 3\n3442 ' ).' 3\n3443 ' ):' 3\n3444 ' );' 3\n3445 ' ){' 3\n3446 ' *(' 3\n3447 ' *)' 3\n3448 ' **' 3\n3449 ' *,' 3\n3450 ' *.' 3\n3451 ' */' 3\n3452 ' *=' 3\n3453 ' *[' 3\n3454 ' +\"' 3\n3455 ' ++' 3\n3456 ' +=' 3\n3457 ' +\\\\' 3\n3458 ' ,\"' 3\n3459 ' -(' 3\n3460 ' --' 3\n3461 ' -.' 3\n3462 ' -=' 3\n3463 ' ->' 3\n3464 ' .\"' 3\n3465 ' ..' 3\n3466 ' ./' 3\n3467 ' .=' 3\n3468 ' /*' 3\n3469 ' //' 3\n3470 ' /=' 3\n3471 ' />' 3\n3472 ' /\\\\' 3\n3473 ' 00' 3\n3474 ' 01' 3\n3475 ' 02' 3\n3476 ' 03' 3\n3477 ' 04' 3\n3478 ' 05' 3\n3479 ' 06' 3\n3480 ' 07' 3\n3481 ' 08' 3\n3482 ' 09' 3\n3483 ' 10' 3\n3484 ' 11' 3\n3485 ' 12' 3\n3486 ' 13' 3\n3487 ' 14' 3\n3488 ' 15' 3\n3489 ' 16' 3\n3490 ' 17' 3\n3491 ' 18' 3\n3492 ' 19' 3\n3493 ' 20' 3\n3494 ' 21' 3\n3495 ' 22' 3\n3496 ' 23' 3\n3497 ' 24' 3\n3498 ' 25' 3\n3499 ' 26' 3\n3500 ' 27' 3\n3501 ' 28' 3\n3502 ' 29' 3\n3503 ' 30' 3\n3504 ' 31' 3\n3505 ' 32' 3\n3506 ' 33' 3\n3507 ' 34' 3\n3508 ' 35' 3\n3509 ' 36' 3\n3510 ' 37' 3\n3511 ' 38' 3\n3512 ' 39' 3\n3513 ' 40' 3\n3514 ' 41' 3\n3515 ' 42' 3\n3516 ' 43' 3\n3517 ' 44' 3\n3518 ' 45' 3\n3519 ' 46' 3\n3520 ' 47' 3\n3521 ' 48' 3\n3522 ' 49' 3\n3523 ' 50' 3\n3524 ' 51' 3\n3525 ' 52' 3\n3526 ' 53' 3\n3527 ' 54' 3\n3528 ' 55' 3\n3529 ' 56' 3\n3530 ' 57' 3\n3531 ' 58' 3\n3532 ' 59' 3\n3533 ' 60' 3\n3534 ' 61' 3\n3535 ' 62' 3\n3536 ' 63' 3\n3537 ' 64' 3\n3538 ' 65' 3\n3539 ' 66' 3\n3540 ' 67' 3\n3541 ' 68' 3\n3542 ' 69' 3\n3543 ' 70' 3\n3544 ' 71' 3\n3545 ' 72' 3\n3546 ' 73' 3\n3547 ' 74' 3\n3548 ' 75' 3\n3549 ' 76' 3\n3550 ' 77' 3\n3551 ' 78' 3\n3552 ' 79' 3\n3553 ' 80' 3\n3554 ' 81' 3\n3555 ' 82' 3\n3556 ' 83' 3\n3557 ' 84' 3\n3558 ' 85' 3\n3559 ' 86' 3\n3560 ' 87' 3\n3561 ' 88' 3\n3562 ' 89' 3\n3563 ' 90' 3\n3564 ' 91' 3\n3565 ' 92' 3\n3566 ' 93' 3\n3567 ' 94' 3\n3568 ' 95' 3\n3569 ' 96' 3\n3570 ' 97' 3\n3571 ' 98' 3\n3572 ' 99' 3\n3573 ' :\"' 3\n3574 ' :(' 3\n3575 ' :)' 3\n3576 ' :-' 3\n3577 ' ::' 3\n3578 ' :=' 3\n3579 ' ;)' 3\n3580 ' ;;' 3\n3581 ' <!' 3\n3582 ' <%' 3\n3583 ' <-' 3\n3584 ' </' 3\n3585 ' <<' 3\n3586 ' <=' 3\n3587 ' <>' 3\n3588 ' <?' 3\n3589 ' =\"' 3\n3590 ' ==' 3\n3591 ' =>' 3\n3592 ' =\\\\' 3\n3593 ' =~' 3\n3594 ' >=' 3\n3595 ' >>' 3\n3596 ' ?,' 3\n3597 ' ?>' 3\n3598 ' ??' 3\n3599 ' @\"' 3\n3600 ' @@' 3\n3601 ' AA' 3\n3602 ' AB' 3\n3603 ' AC' 3\n3604 ' AD' 3\n3605 ' AE' 3\n3606 ' AF' 3\n3607 ' AG' 3\n3608 ' AH' 3\n3609 ' AI' 3\n3610 ' AJ' 3\n3611 ' AK' 3\n3612 ' AL' 3\n3613 ' AM' 3\n3614 ' AN' 3\n3615 ' AO' 3\n3616 ' AP' 3\n3617 ' AQ' 3\n3618 ' AR' 3\n3619 ' AS' 3\n3620 ' AT' 3\n3621 ' AU' 3\n3622 ' AV' 3\n3623 ' AW' 3\n3624 ' AX' 3\n3625 ' AZ' 3\n3626 ' Ab' 3\n3627 ' Ac' 3\n3628 ' Ad' 3\n3629 ' Af' 3\n3630 ' Ag' 3\n3631 ' Ah' 3\n3632 ' Ai' 3\n3633 ' Aj' 3\n3634 ' Ak' 3\n3635 ' Al' 3\n3636 ' Am' 3\n3637 ' An' 3\n3638 ' Ao' 3\n3639 ' Ap' 3\n3640 ' Ar' 3\n3641 ' As' 3\n3642 ' At' 3\n3643 ' Au' 3\n3644 ' Av' 3\n3645 ' Aw' 3\n3646 ' Ax' 3\n3647 ' Ay' 3\n3648 ' Az' 3\n3649 ' BA' 3\n3650 ' BB' 3\n3651 ' BC' 3\n3652 ' BD' 3\n3653 ' BE' 3\n3654 ' BF' 3\n3655 ' BG' 3\n3656 ' BH' 3\n3657 ' BI' 3\n3658 ' BJ' 3\n3659 ' BL' 3\n3660 ' BM' 3\n3661 ' BN' 3\n3662 ' BO' 3\n3663 ' BP' 3\n3664 ' BR' 3\n3665 ' BS' 3\n3666 ' BT' 3\n3667 ' BU' 3\n3668 ' BV' 3\n3669 ' BW' 3\n3670 ' BY' 3\n3671 ' Ba' 3\n3672 ' Bd' 3\n3673 ' Be' 3\n3674 ' Bh' 3\n3675 ' Bi' 3\n3676 ' Bj' 3\n3677 ' Bl' 3\n3678 ' Bo' 3\n3679 ' Br' 3\n3680 ' Bu' 3\n3681 ' By' 3\n3682 ' CA' 3\n3683 ' CB' 3\n3684 ' CC' 3\n3685 ' CD' 3\n3686 ' CE' 3\n3687 ' CF' 3\n3688 ' CG' 3\n3689 ' CH' 3\n3690 ' CI' 3\n3691 ' CJ' 3\n3692 ' CK' 3\n3693 ' CL' 3\n3694 ' CM' 3\n3695 ' CN' 3\n3696 ' CO' 3\n3697 ' CP' 3\n3698 ' CR' 3\n3699 ' CS' 3\n3700 ' CT' 3\n3701 ' CU' 3\n3702 ' CV' 3\n3703 ' CW' 3\n3704 ' CX' 3\n3705 ' CY' 3\n3706 ' Ca' 3\n3707 ' Cd' 3\n3708 ' Ce' 3\n3709 ' Cf' 3\n3710 ' Ch' 3\n3711 ' Ci' 3\n3712 ' Cl' 3\n3713 ' Co' 3\n3714 ' Cp' 3\n3715 ' Cr' 3\n3716 ' Cs' 3\n3717 ' Ct' 3\n3718 ' Cu' 3\n3719 ' Cy' 3\n3720 ' Cz' 3\n3721 ' DA' 3\n3722 ' DB' 3\n3723 ' DC' 3\n3724 ' DD' 3\n3725 ' DE' 3\n3726 ' DF' 3\n3727 ' DG' 3\n3728 ' DH' 3\n3729 ' DI' 3\n3730 ' DJ' 3\n3731 ' DK' 3\n3732 ' DL' 3\n3733 ' DM' 3\n3734 ' DN' 3\n3735 ' DO' 3\n3736 ' DP' 3\n3737 ' DR' 3\n3738 ' DS' 3\n3739 ' DT' 3\n3740 ' DU' 3\n3741 ' DV' 3\n3742 ' DW' 3\n3743 ' DX' 3\n3744 ' Da' 3\n3745 ' Db' 3\n3746 ' De' 3\n3747 ' Dh' 3\n3748 ' Di' 3\n3749 ' Dj' 3\n3750 ' Do' 3\n3751 ' Dr' 3\n3752 ' Du' 3\n3753 ' Dw' 3\n3754 ' Dy' 3\n3755 ' EA' 3\n3756 ' EB' 3\n3757 ' EC' 3\n3758 ' ED' 3\n3759 ' EE' 3\n3760 ' EF' 3\n3761 ' EG' 3\n3762 ' EH' 3\n3763 ' EL' 3\n3764 ' EM' 3\n3765 ' EN' 3\n3766 ' EO' 3\n3767 ' EP' 3\n3768 ' EQ' 3\n3769 ' ER' 3\n3770 ' ES' 3\n3771 ' ET' 3\n3772 ' EU' 3\n3773 ' EV' 3\n3774 ' EW' 3\n3775 ' EX' 3\n3776 ' Eb' 3\n3777 ' Ec' 3\n3778 ' Ed' 3\n3779 ' Eg' 3\n3780 ' Eh' 3\n3781 ' Ej' 3\n3782 ' Ek' 3\n3783 ' El' 3\n3784 ' Em' 3\n3785 ' En' 3\n3786 ' Ep' 3\n3787 ' Eq' 3\n3788 ' Er' 3\n3789 ' Es' 3\n3790 ' Et' 3\n3791 ' Eu' 3\n3792 ' Ev' 3\n3793 ' Ex' 3\n3794 ' Ey' 3\n3795 ' Ez' 3\n3796 ' FA' 3\n3797 ' FB' 3\n3798 ' FC' 3\n3799 ' FD' 3\n3800 ' FE' 3\n3801 ' FF' 3\n3802 ' FG' 3\n3803 ' FH' 3\n3804 ' FI' 3\n3805 ' FK' 3\n3806 ' FL' 3\n3807 ' FM' 3\n3808 ' FN' 3\n3809 ' FO' 3\n3810 ' FP' 3\n3811 ' FR' 3\n3812 ' FS' 3\n3813 ' FT' 3\n3814 ' FW' 3\n3815 ' FX' 3\n3816 ' FY' 3\n3817 ' Fa' 3\n3818 ' Fe' 3\n3819 ' Fi' 3\n3820 ' Fl' 3\n3821 ' Fo' 3\n3822 ' Fr' 3\n3823 ' Ft' 3\n3824 ' Fu' 3\n3825 ' GA' 3\n3826 ' GB' 3\n3827 ' GC' 3\n3828 ' GD' 3\n3829 ' GE' 3\n3830 ' GF' 3\n3831 ' GG' 3\n3832 ' GH' 3\n3833 ' GI' 3\n3834 ' GL' 3\n3835 ' GM' 3\n3836 ' GN' 3\n3837 ' GO' 3\n3838 ' GP' 3\n3839 ' GR' 3\n3840 ' GS' 3\n3841 ' GT' 3\n3842 ' GU' 3\n3843 ' GV' 3\n3844 ' GW' 3\n3845 ' Ga' 3\n3846 ' Ge' 3\n3847 ' Gh' 3\n3848 ' Gi' 3\n3849 ' Gl' 3\n3850 ' Gn' 3\n3851 ' Go' 3\n3852 ' Gr' 3\n3853 ' Gu' 3\n3854 ' Gy' 3\n3855 ' HA' 3\n3856 ' HB' 3\n3857 ' HC' 3\n3858 ' HD' 3\n3859 ' HE' 3\n3860 ' HF' 3\n3861 ' HG' 3\n3862 ' HH' 3\n3863 ' HI' 3\n3864 ' HK' 3\n3865 ' HL' 3\n3866 ' HM' 3\n3867 ' HO' 3\n3868 ' HP' 3\n3869 ' HQ' 3\n3870 ' HR' 3\n3871 ' HS' 3\n3872 ' HT' 3\n3873 ' HU' 3\n3874 ' HV' 3\n3875 ' HW' 3\n3876 ' HY' 3\n3877 ' Ha' 3\n3878 ' He' 3\n3879 ' Hg' 3\n3880 ' Hi' 3\n3881 ' Ho' 3\n3882 ' Hu' 3\n3883 ' Hy' 3\n3884 ' Hz' 3\n3885 ' IA' 3\n3886 ' IB' 3\n3887 ' IC' 3\n3888 ' ID' 3\n3889 ' IE' 3\n3890 ' IF' 3\n3891 ' IG' 3\n3892 ' II' 3\n3893 ' IK' 3\n3894 ' IL' 3\n3895 ' IM' 3\n3896 ' IN' 3\n3897 ' IO' 3\n3898 ' IP' 3\n3899 ' IQ' 3\n3900 ' IR' 3\n3901 ' IS' 3\n3902 ' IT' 3\n3903 ' IU' 3\n3904 ' IV' 3\n3905 ' IX' 3\n3906 ' Ib' 3\n3907 ' Id' 3\n3908 ' If' 3\n3909 ' Ig' 3\n3910 ' Ik' 3\n3911 ' Il' 3\n3912 ' Im' 3\n3913 ' In' 3\n3914 ' Io' 3\n3915 ' Ip' 3\n3916 ' Ir' 3\n3917 ' Is' 3\n3918 ' It' 3\n3919 ' Iv' 3\n3920 ' Iz' 3\n3921 ' JA' 3\n3922 ' JC' 3\n3923 ' JD' 3\n3924 ' JE' 3\n3925 ' JJ' 3\n3926 ' JM' 3\n3927 ' JO' 3\n3928 ' JP' 3\n3929 ' JR' 3\n3930 ' JS' 3\n3931 ' JU' 3\n3932 ' Ja' 3\n3933 ' Je' 3\n3934 ' Ji' 3\n3935 ' Jo' 3\n3936 ' Jr' 3\n3937 ' Ju' 3\n3938 ' KA' 3\n3939 ' KB' 3\n3940 ' KC' 3\n3941 ' KD' 3\n3942 ' KE' 3\n3943 ' KG' 3\n3944 ' KH' 3\n3945 ' KK' 3\n3946 ' KL' 3\n3947 ' KM' 3\n3948 ' KN' 3\n3949 ' KO' 3\n3950 ' KP' 3\n3951 ' KR' 3\n3952 ' KS' 3\n3953 ' KT' 3\n3954 ' KY' 3\n3955 ' Ka' 3\n3956 ' Ke' 3\n3957 ' Kh' 3\n3958 ' Ki' 3\n3959 ' Kl' 3\n3960 ' Kn' 3\n3961 ' Ko' 3\n3962 ' Kr' 3\n3963 ' Ku' 3\n3964 ' Kw' 3\n3965 ' Ky' 3\n3966 ' LA' 3\n3967 ' LB' 3\n3968 ' LC' 3\n3969 ' LD' 3\n3970 ' LE' 3\n3971 ' LF' 3\n3972 ' LG' 3\n3973 ' LH' 3\n3974 ' LI' 3\n3975 ' LL' 3\n3976 ' LM' 3\n3977 ' LN' 3\n3978 ' LO' 3\n3979 ' LP' 3\n3980 ' LR' 3\n3981 ' LS' 3\n3982 ' LT' 3\n3983 ' LU' 3\n3984 ' LV' 3\n3985 ' LW' 3\n3986 ' LX' 3\n3987 ' La' 3\n3988 ' Le' 3\n3989 ' Li' 3\n3990 ' Ll' 3\n3991 ' Lo' 3\n3992 ' Lt' 3\n3993 ' Lu' 3\n3994 ' Lv' 3\n3995 ' Ly' 3\n3996 ' MA' 3\n3997 ' MB' 3\n3998 ' MC' 3\n3999 ' MD' 3\n4000 ' ME' 3\n4001 ' MF' 3\n4002 ' MG' 3\n4003 ' MH' 3\n4004 ' MI' 3\n4005 ' MJ' 3\n4006 ' MK' 3\n4007 ' ML' 3\n4008 ' MM' 3\n4009 ' MN' 3\n4010 ' MO' 3\n4011 ' MP' 3\n4012 ' MQ' 3\n4013 ' MR' 3\n4014 ' MS' 3\n4015 ' MT' 3\n4016 ' MU' 3\n4017 ' MV' 3\n4018 ' MW' 3\n4019 ' MX' 3\n4020 ' MY' 3\n4021 ' Ma' 3\n4022 ' Mb' 3\n4023 ' Mc' 3\n4024 ' Md' 3\n4025 ' Me' 3\n4026 ' Mg' 3\n4027 ' Mi' 3\n4028 ' Mk' 3\n4029 ' Mn' 3\n4030 ' Mo' 3\n4031 ' Mr' 3\n4032 ' Ms' 3\n4033 ' Mt' 3\n4034 ' Mu' 3\n4035 ' My' 3\n4036 ' NA' 3\n4037 ' NB' 3\n4038 ' NC' 3\n4039 ' ND' 3\n4040 ' NE' 3\n4041 ' NF' 3\n4042 ' NG' 3\n4043 ' NH' 3\n4044 ' NI' 3\n4045 ' NJ' 3\n4046 ' NK' 3\n4047 ' NL' 3\n4048 ' NM' 3\n4049 ' NN' 3\n4050 ' NO' 3\n4051 ' NP' 3\n4052 ' NR' 3\n4053 ' NS' 3\n4054 ' NT' 3\n4055 ' NU' 3\n4056 ' NV' 3\n4057 ' NW' 3\n4058 ' NY' 3\n4059 ' NZ' 3\n4060 ' Na' 3\n4061 ' Nb' 3\n4062 ' Nd' 3\n4063 ' Ne' 3\n4064 ' Ng' 3\n4065 ' Ni' 3\n4066 ' No' 3\n4067 ' Nr' 3\n4068 ' Nu' 3\n4069 ' Ny' 3\n4070 ' OA' 3\n4071 ' OB' 3\n4072 ' OC' 3\n4073 ' OD' 3\n4074 ' OF' 3\n4075 ' OH' 3\n4076 ' OK' 3\n4077 ' OL' 3\n4078 ' OM' 3\n4079 ' ON' 3\n4080 ' OP' 3\n4081 ' OR' 3\n4082 ' OS' 3\n4083 ' OT' 3\n4084 ' OU' 3\n4085 ' OV' 3\n4086 ' Ob' 3\n4087 ' Oc' 3\n4088 ' Od' 3\n4089 ' Of' 3\n4090 ' Og' 3\n4091 ' Oh' 3\n4092 ' Ok' 3\n4093 ' Ol' 3\n4094 ' Om' 3\n4095 ' On' 3\n4096 ' Op' 3\n4097 ' Or' 3\n4098 ' Os' 3\n4099 ' Ot' 3\n4100 ' Ou' 3\n4101 ' Ow' 3\n4102 ' Ox' 3\n4103 ' Oz' 3\n4104 ' PA' 3\n4105 ' PB' 3\n4106 ' PC' 3\n4107 ' PD' 3\n4108 ' PE' 3\n4109 ' PF' 3\n4110 ' PG' 3\n4111 ' PH' 3\n4112 ' PI' 3\n4113 ' PJ' 3\n4114 ' PK' 3\n4115 ' PL' 3\n4116 ' PM' 3\n4117 ' PN' 3\n4118 ' PO' 3\n4119 ' PP' 3\n4120 ' PR' 3\n4121 ' PS' 3\n4122 ' PT' 3\n4123 ' PU' 3\n4124 ' PV' 3\n4125 ' PW' 3\n4126 ' PY' 3\n4127 ' Pa' 3\n4128 ' Pb' 3\n4129 ' Pe' 3\n4130 ' Pf' 3\n4131 ' Ph' 3\n4132 ' Pi' 3\n4133 ' Pl' 3\n4134 ' Po' 3\n4135 ' Pr' 3\n4136 ' Ps' 3\n4137 ' Pt' 3\n4138 ' Pu' 3\n4139 ' Py' 3\n4140 ' QA' 3\n4141 ' QB' 3\n4142 ' QC' 3\n4143 ' QQ' 3\n4144 ' QR' 3\n4145 ' QS' 3\n4146 ' QT' 3\n4147 ' QU' 3\n4148 ' Qi' 3\n4149 ' Qt' 3\n4150 ' Qu' 3\n4151 ' RA' 3\n4152 ' RB' 3\n4153 ' RC' 3\n4154 ' RD' 3\n4155 ' RE' 3\n4156 ' RF' 3\n4157 ' RG' 3\n4158 ' RH' 3\n4159 ' RI' 3\n4160 ' RJ' 3\n4161 ' RL' 3\n4162 ' RM' 3\n4163 ' RN' 3\n4164 ' RO' 3\n4165 ' RP' 3\n4166 ' RR' 3\n4167 ' RS' 3\n4168 ' RT' 3\n4169 ' RU' 3\n4170 ' RV' 3\n4171 ' RW' 3\n4172 ' RX' 3\n4173 ' Ra' 3\n4174 ' Rd' 3\n4175 ' Re' 3\n4176 ' Rh' 3\n4177 ' Ri' 3\n4178 ' Ro' 3\n4179 ' Rs' 3\n4180 ' Ru' 3\n4181 ' Rx' 3\n4182 ' Ry' 3\n4183 ' SA' 3\n4184 ' SB' 3\n4185 ' SC' 3\n4186 ' SD' 3\n4187 ' SE' 3\n4188 ' SF' 3\n4189 ' SG' 3\n4190 ' SH' 3\n4191 ' SI' 3\n4192 ' SJ' 3\n4193 ' SK' 3\n4194 ' SL' 3\n4195 ' SM' 3\n4196 ' SN' 3\n4197 ' SO' 3\n4198 ' SP' 3\n4199 ' SQ' 3\n4200 ' SR' 3\n4201 ' SS' 3\n4202 ' ST' 3\n4203 ' SU' 3\n4204 ' SV' 3\n4205 ' SW' 3\n4206 ' SY' 3\n4207 ' SZ' 3\n4208 ' Sa' 3\n4209 ' Sc' 3\n4210 ' Se' 3\n4211 ' Sh' 3\n4212 ' Si' 3\n4213 ' Sk' 3\n4214 ' Sl' 3\n4215 ' Sm' 3\n4216 ' Sn' 3\n4217 ' So' 3\n4218 ' Sp' 3\n4219 ' Sr' 3\n4220 ' St' 3\n4221 ' Su' 3\n4222 ' Sv' 3\n4223 ' Sw' 3\n4224 ' Sy' 3\n4225 ' Sz' 3\n4226 ' TA' 3\n4227 ' TB' 3\n4228 ' TC' 3\n4229 ' TD' 3\n4230 ' TE' 3\n4231 ' TF' 3\n4232 ' TG' 3\n4233 ' TH' 3\n4234 ' TI' 3\n4235 ' TK' 3\n4236 ' TL' 3\n4237 ' TM' 3\n4238 ' TN' 3\n4239 ' TO' 3\n4240 ' TP' 3\n4241 ' TR' 3\n4242 ' TS' 3\n4243 ' TT' 3\n4244 ' TU' 3\n4245 ' TV' 3\n4246 ' TW' 3\n4247 ' TX' 3\n4248 ' TY' 3\n4249 ' Ta' 3\n4250 ' Tb' 3\n4251 ' Te' 3\n4252 ' Th' 3\n4253 ' Ti' 3\n4254 ' Tk' 3\n4255 ' To' 3\n4256 ' Tr' 3\n4257 ' Ts' 3\n4258 ' Tu' 3\n4259 ' Tw' 3\n4260 ' Tx' 3\n4261 ' Ty' 3\n4262 ' UA' 3\n4263 ' UC' 3\n4264 ' UD' 3\n4265 ' UE' 3\n4266 ' UI' 3\n4267 ' UK' 3\n4268 ' UL' 3\n4269 ' UM' 3\n4270 ' UN' 3\n4271 ' UP' 3\n4272 ' UR' 3\n4273 ' US' 3\n4274 ' UT' 3\n4275 ' UV' 3\n4276 ' UW' 3\n4277 ' UX' 3\n4278 ' Ub' 3\n4279 ' Ud' 3\n4280 ' Ug' 3\n4281 ' Uh' 3\n4282 ' Ui' 3\n4283 ' Uk' 3\n4284 ' Ul' 3\n4285 ' Um' 3\n4286 ' Un' 3\n4287 ' Up' 3\n4288 ' Ur' 3\n4289 ' Us' 3\n4290 ' Ut' 3\n4291 ' VA' 3\n4292 ' VB' 3\n4293 ' VC' 3\n4294 ' VE' 3\n4295 ' VG' 3\n4296 ' VI' 3\n4297 ' VK' 3\n4298 ' VL' 3\n4299 ' VM' 3\n4300 ' VO' 3\n4301 ' VP' 3\n4302 ' VR' 3\n4303 ' VS' 3\n4304 ' VT' 3\n4305 ' VW' 3\n4306 ' Va' 3\n4307 ' Ve' 3\n4308 ' Vi' 3\n4309 ' Vo' 3\n4310 ' Vs' 3\n4311 ' Vu' 3\n4312 ' Vy' 3\n4313 ' WA' 3\n4314 ' WB' 3\n4315 ' WC' 3\n4316 ' WD' 3\n4317 ' WE' 3\n4318 ' WF' 3\n4319 ' WG' 3\n4320 ' WH' 3\n4321 ' WI' 3\n4322 ' WL' 3\n4323 ' WM' 3\n4324 ' WO' 3\n4325 ' WP' 3\n4326 ' WR' 3\n4327 ' WS' 3\n4328 ' WT' 3\n4329 ' WW' 3\n4330 ' Wa' 3\n4331 ' We' 3\n4332 ' Wh' 3\n4333 ' Wi' 3\n4334 ' Wo' 3\n4335 ' Wr' 3\n4336 ' Wu' 3\n4337 ' Wy' 3\n4338 ' XI' 3\n4339 ' XL' 3\n4340 ' XP' 3\n4341 ' XS' 3\n4342 ' XV' 3\n4343 ' XX' 3\n4344 ' XY' 3\n4345 ' Xi' 3\n4346 ' Xu' 3\n4347 ' YA' 3\n4348 ' YE' 3\n4349 ' Ya' 3\n4350 ' Ye' 3\n4351 ' Yi' 3\n4352 ' Yo' 3\n4353 ' Yu' 3\n4354 ' ZZ' 3\n4355 ' Za' 3\n4356 ' Ze' 3\n4357 ' Zh' 3\n4358 ' Zi' 3\n4359 ' Zn' 3\n4360 ' Zo' 3\n4361 ' Zu' 3\n4362 ' Zw' 3\n4363 ' [\"' 3\n4364 ' [$' 3\n4365 \" ['\" 3\n4366 ' [(' 3\n4367 ' [*' 3\n4368 ' [-' 3\n4369 ' [:' 3\n4370 ' [<' 3\n4371 ' [[' 3\n4372 ' [\\\\' 3\n4373 ' []' 3\n4374 ' [_' 3\n4375 ' [`' 3\n4376 ' [{' 3\n4377 ' \\\\\"' 3\n4378 ' \\\\$' 3\n4379 \" \\\\'\" 3\n4380 ' \\\\(' 3\n4381 ' \\\\;' 3\n4382 ' \\\\<' 3\n4383 ' \\\\\\\\' 3\n4384 ' \\\\{' 3\n4385 ' \\\\|' 3\n4386 ' ],' 3\n4387 ' ];' 3\n4388 ' 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3\n4673 ' mu' 3\n4674 ' mv' 3\n4675 ' mw' 3\n4676 ' mx' 3\n4677 ' my' 3\n4678 ' na' 3\n4679 ' nb' 3\n4680 ' nc' 3\n4681 ' nd' 3\n4682 ' ne' 3\n4683 ' nf' 3\n4684 ' ng' 3\n4685 ' nh' 3\n4686 ' ni' 3\n4687 ' nj' 3\n4688 ' nk' 3\n4689 ' nl' 3\n4690 ' nm' 3\n4691 ' nn' 3\n4692 ' no' 3\n4693 ' np' 3\n4694 ' nr' 3\n4695 ' ns' 3\n4696 ' nt' 3\n4697 ' nu' 3\n4698 ' nv' 3\n4699 ' nw' 3\n4700 ' nx' 3\n4701 ' ny' 3\n4702 ' nz' 3\n4703 ' ob' 3\n4704 ' oc' 3\n4705 ' od' 3\n4706 ' of' 3\n4707 ' og' 3\n4708 ' oh' 3\n4709 ' ok' 3\n4710 ' ol' 3\n4711 ' om' 3\n4712 ' on' 3\n4713 ' oo' 3\n4714 ' op' 3\n4715 ' or' 3\n4716 ' os' 3\n4717 ' ot' 3\n4718 ' ou' 3\n4719 ' ov' 3\n4720 ' ow' 3\n4721 ' ox' 3\n4722 ' oy' 3\n4723 ' oz' 3\n4724 ' pH' 3\n4725 ' pa' 3\n4726 ' pb' 3\n4727 ' pc' 3\n4728 ' pd' 3\n4729 ' pe' 3\n4730 ' pf' 3\n4731 ' pg' 3\n4732 ' ph' 3\n4733 ' pi' 3\n4734 ' pk' 3\n4735 ' pl' 3\n4736 ' pm' 3\n4737 ' pn' 3\n4738 ' po' 3\n4739 ' pp' 3\n4740 ' pq' 3\n4741 ' pr' 3\n4742 ' ps' 3\n4743 ' pt' 3\n4744 ' pu' 3\n4745 ' pv' 3\n4746 ' pw' 3\n4747 ' px' 3\n4748 ' py' 3\n4749 ' qi' 3\n4750 ' qq' 3\n4751 ' qt' 3\n4752 ' qu' 3\n4753 ' ra' 3\n4754 ' rb' 3\n4755 ' rc' 3\n4756 ' rd' 3\n4757 ' re' 3\n4758 ' rf' 3\n4759 ' rg' 3\n4760 ' rh' 3\n4761 ' ri' 3\n4762 ' rm' 3\n4763 ' rn' 3\n4764 ' ro' 3\n4765 ' rp' 3\n4766 ' rr' 3\n4767 ' rs' 3\n4768 ' rt' 3\n4769 ' ru' 3\n4770 ' rv' 3\n4771 ' rw' 3\n4772 ' rx' 3\n4773 ' ry' 3\n4774 ' sa' 3\n4775 ' sb' 3\n4776 ' sc' 3\n4777 ' sd' 3\n4778 ' se' 3\n4779 ' sf' 3\n4780 ' sg' 3\n4781 ' sh' 3\n4782 ' si' 3\n4783 ' sj' 3\n4784 ' sk' 3\n4785 ' sl' 3\n4786 ' sm' 3\n4787 ' sn' 3\n4788 ' so' 3\n4789 ' sp' 3\n4790 ' sq' 3\n4791 ' sr' 3\n4792 ' ss' 3\n4793 ' st' 3\n4794 ' su' 3\n4795 ' sv' 3\n4796 ' sw' 3\n4797 ' sy' 3\n4798 ' sz' 3\n4799 ' ta' 3\n4800 ' tb' 3\n4801 ' tc' 3\n4802 ' td' 3\n4803 ' te' 3\n4804 ' tf' 3\n4805 ' th' 3\n4806 ' ti' 3\n4807 ' tk' 3\n4808 ' tl' 3\n4809 ' tm' 3\n4810 ' tn' 3\n4811 ' to' 3\n4812 ' tp' 3\n4813 ' tr' 3\n4814 ' ts' 3\n4815 ' tt' 3\n4816 ' tu' 3\n4817 ' tv' 3\n4818 ' tw' 3\n4819 ' tx' 3\n4820 ' ty' 3\n4821 ' tz' 3\n4822 ' ua' 3\n4823 ' ub' 3\n4824 ' uc' 3\n4825 ' ud' 3\n4826 ' ug' 3\n4827 ' uh' 3\n4828 ' ui' 3\n4829 ' uk' 3\n4830 ' ul' 3\n4831 ' um' 3\n4832 ' un' 3\n4833 ' up' 3\n4834 ' ur' 3\n4835 ' us' 3\n4836 ' ut' 3\n4837 ' uv' 3\n4838 ' uw' 3\n4839 ' uz' 3\n4840 ' va' 3\n4841 ' vb' 3\n4842 ' vc' 3\n4843 ' ve' 3\n4844 ' vi' 3\n4845 ' vl' 3\n4846 ' vm' 3\n4847 ' vn' 3\n4848 ' vo' 3\n4849 ' vp' 3\n4850 ' vr' 3\n4851 ' vs' 3\n4852 ' vt' 3\n4853 ' vu' 3\n4854 ' vy' 3\n4855 ' wa' 3\n4856 ' wb' 3\n4857 ' wc' 3\n4858 ' we' 3\n4859 ' wf' 3\n4860 ' wh' 3\n4861 ' wi' 3\n4862 ' wk' 3\n4863 ' wo' 3\n4864 ' wp' 3\n4865 ' wr' 3\n4866 ' ws' 3\n4867 ' wt' 3\n4868 ' ww' 3\n4869 ' wx' 3\n4870 ' wy' 3\n4871 ' xe' 3\n4872 ' xi' 3\n4873 ' xl' 3\n4874 ' xs' 3\n4875 ' xt' 3\n4876 ' xx' 3\n4877 ' xy' 3\n4878 ' ya' 3\n4879 ' ye' 3\n4880 ' yi' 3\n4881 ' yo' 3\n4882 ' yr' 3\n4883 ' ys' 3\n4884 ' yy' 3\n4885 ' za' 3\n4886 ' ze' 3\n4887 ' zh' 3\n4888 ' zi' 3\n4889 ' zo' 3\n4890 ' zu' 3\n4891 ' zw' 3\n4892 ' zz' 3\n4893 ' {\"' 3\n4894 ' {$' 3\n4895 ' {%' 3\n4896 \" {'\" 3\n4897 ' {(' 3\n4898 ' {-' 3\n4899 ' {:' 3\n4900 ' {@' 3\n4901 ' {\\\\' 3\n4902 ' {{' 3\n4903 ' {}' 3\n4904 ' |=' 3\n4905 ' |\\\\' 3\n4906 ' ||' 3\n4907 ' })' 3\n4908 ' },' 3\n4909 ' };' 3\n4910 ' }\\\\' 3\n4911 ' }]' 3\n4912 ' }{' 3\n4913 ' }}' 3\n4914 ' ~/' 3\n4915 ' \\xa0' 3\n4916 ' ¡' 3\n4917 ' ¢' 3\n4918 ' £' 3\n4919 ' ¤' 3\n4920 ' ¥' 3\n4921 ' ¦' 3\n4922 ' §' 3\n4923 ' ©' 3\n4924 ' «' 3\n4925 ' ¬' 3\n4926 ' \\xad' 3\n4927 ' ®' 3\n4928 ' °' 3\n4929 ' ±' 3\n4930 ' µ' 3\n4931 ' ¶' 3\n4932 ' ·' 3\n4933 ' »' 3\n4934 ' ¼' 3\n4935 ' ½' 3\n4936 ' ¿' 3\n4937 ' À' 3\n4938 ' Á' 3\n4939 ' Â' 3\n4940 ' Ã' 3\n4941 ' Ä' 3\n4942 ' Å' 3\n4943 ' Ç' 3\n4944 ' È' 3\n4945 ' É' 3\n4946 ' Ê' 3\n4947 ' Í' 3\n4948 ' Î' 3\n4949 ' Ð' 3\n4950 ' Ñ' 3\n4951 ' Ò' 3\n4952 ' Ó' 3\n4953 ' Ô' 3\n4954 ' Ö' 3\n4955 ' ×' 3\n4956 ' Ø' 3\n4957 ' Ú' 3\n4958 ' Ü' 3\n4959 ' Þ' 3\n4960 ' ß' 3\n4961 ' à' 3\n4962 ' á' 3\n4963 ' â' 3\n4964 ' ã' 3\n4965 ' ä' 3\n4966 ' å' 3\n4967 ' æ' 3\n4968 ' ç' 3\n4969 ' è' 3\n4970 ' é' 3\n4971 ' ê' 3\n4972 ' ë' 3\n4973 ' ì' 3\n4974 ' í' 3\n4975 ' î' 3\n4976 ' ð' 3\n4977 ' ñ' 3\n4978 ' ó' 3\n4979 ' ô' 3\n4980 ' ö' 3\n4981 ' ÷' 3\n4982 ' ø' 3\n4983 ' ú' 3\n4984 ' ü' 3\n4985 ' þ' 3\n4986 ' Ā' 3\n4987 ' ā' 3\n4988 ' ĉ' 3\n4989 ' Č' 3\n4990 ' č' 3\n4991 ' Đ' 3\n4992 ' đ' 3\n4993 ' İ' 3\n4994 ' Ł' 3\n4995 ' ł' 3\n4996 ' ő' 3\n4997 ' œ' 3\n4998 ' ř' 3\n4999 ' Ś' 3\n5000 ' ś' 3\n5001 ' ŝ' 3\n5002 ' Ş' 3\n5003 ' ş' 3\n5004 ' Š' 3\n5005 ' š' 3\n5006 ' ū' 3\n5007 ' Ż' 3\n5008 ' ż' 3\n5009 ' Ž' 3\n5010 ' ž' 3\n5011 ' ǫ' 3\n5012 ' ́' 3\n5013 ' ̃' 3\n5014 ' ̄' 3\n5015 ' ̇' 3\n5016 ' ̈' 3\n5017 ' ̊' 3\n5018 ' ̧' 3\n5019 ' Α' 3\n5020 ' Γ' 3\n5021 ' Δ' 3\n5022 ' Ε' 3\n5023 ' Θ' 3\n5024 ' Κ' 3\n5025 ' Λ' 3\n5026 ' Μ' 3\n5027 ' Π' 3\n5028 ' Σ' 3\n5029 ' Τ' 3\n5030 ' Φ' 3\n5031 ' Ψ' 3\n5032 ' Ω' 3\n5033 ' έ' 3\n5034 ' α' 3\n5035 ' β' 3\n5036 ' γ' 3\n5037 ' δ' 3\n5038 ' ε' 3\n5039 ' ζ' 3\n5040 ' η' 3\n5041 ' θ' 3\n5042 ' ι' 3\n5043 ' κ' 3\n5044 ' λ' 3\n5045 ' μ' 3\n5046 ' ν' 3\n5047 ' ξ' 3\n5048 ' ο' 3\n5049 ' π' 3\n5050 ' ρ' 3\n5051 ' σ' 3\n5052 ' τ' 3\n5053 ' υ' 3\n5054 ' φ' 3\n5055 ' χ' 3\n5056 ' ψ' 3\n5057 ' ω' 3\n5058 ' ό' 3\n5059 ' Є' 3\n5060 ' І' 3\n5061 ' Ј' 3\n5062 ' А' 3\n5063 ' Б' 3\n5064 ' В' 3\n5065 ' Г' 3\n5066 ' Д' 3\n5067 ' Е' 3\n5068 ' Ж' 3\n5069 ' З' 3\n5070 ' И' 3\n5071 ' Й' 3\n5072 ' К' 3\n5073 ' Л' 3\n5074 ' М' 3\n5075 ' Н' 3\n5076 ' О' 3\n5077 ' П' 3\n5078 ' Р' 3\n5079 ' С' 3\n5080 ' Т' 3\n5081 ' У' 3\n5082 ' Ф' 3\n5083 ' Х' 3\n5084 ' Ц' 3\n5085 ' Ч' 3\n5086 ' Ш' 3\n5087 ' Щ' 3\n5088 ' Э' 3\n5089 ' Ю' 3\n5090 ' Я' 3\n5091 ' а' 3\n5092 ' б' 3\n5093 ' в' 3\n5094 ' г' 3\n5095 ' д' 3\n5096 ' е' 3\n5097 ' ж' 3\n5098 ' з' 3\n5099 ' и' 3\n5100 ' й' 3\n5101 ' к' 3\n5102 ' л' 3\n5103 ' м' 3\n5104 ' н' 3\n5105 ' о' 3\n5106 ' п' 3\n5107 ' р' 3\n5108 ' с' 3\n5109 ' т' 3\n5110 ' у' 3\n5111 ' ф' 3\n5112 ' х' 3\n5113 ' ц' 3\n5114 ' ч' 3\n5115 ' ш' 3\n5116 ' щ' 3\n5117 ' э' 3\n5118 ' ю' 3\n5119 ' я' 3\n5120 ' є' 3\n5121 ' і' 3\n5122 ' ї' 3\n5123 ' ј' 3\n5124 ' א' 3\n5125 ' ב' 3\n5126 ' ה' 3\n5127 ' ו' 3\n5128 ' י' 3\n5129 ' כ' 3\n5130 ' ל' 3\n5131 ' מ' 3\n5132 ' נ' 3\n5133 ' ע' 3\n5134 ' ש' 3\n5135 ' آ' 3\n5136 ' أ' 3\n5137 ' إ' 3\n5138 ' ا' 3\n5139 ' ب' 3\n5140 ' ت' 3\n5141 ' ج' 3\n5142 ' ح' 3\n5143 ' خ' 3\n5144 ' د' 3\n5145 ' ر' 3\n5146 ' س' 3\n5147 ' ش' 3\n5148 ' ص' 3\n5149 ' ع' 3\n5150 ' ف' 3\n5151 ' ق' 3\n5152 ' ك' 3\n5153 ' ل' 3\n5154 ' م' 3\n5155 ' ن' 3\n5156 ' ه' 3\n5157 ' و' 3\n5158 ' ي' 3\n5159 ' پ' 3\n5160 ' ک' 3\n5161 ' گ' 3\n5162 ' ی' 3\n5163 '!!!' 3\n5164 '!\")' 3\n5165 '!\",' 3\n5166 \"!',\" 3\n5167 '!),' 3\n5168 '!).' 3\n5169 '!--' 3\n5170 '\"\"\"' 3\n5171 '\"\",' 3\n5172 '\"))' 3\n5173 '\"),' 3\n5174 '\").' 3\n5175 '\"):' 3\n5176 '\");' 3\n5177 '\")]' 3\n5178 '\",\"' 3\n5179 '\"--' 3\n5180 '\"/>' 3\n5181 '\":\"' 3\n5182 '\":[' 3\n5183 '\":{' 3\n5184 '\"</' 3\n5185 '\"=>' 3\n5186 '\">&' 3\n5187 '\">\\'' 3\n5188 '\"><' 3\n5189 '\"?>' 3\n5190 '\"])' 3\n5191 '\"],' 3\n5192 '\"].' 3\n5193 '\"]:' 3\n5194 '\"];' 3\n5195 '\"][' 3\n5196 '\"]]' 3\n5197 '\"]}' 3\n5198 '\"})' 3\n5199 '\"},' 3\n5200 '\"}}' 3\n5201 '###' 3\n5202 '%),' 3\n5203 '%).' 3\n5204 '\\'\",' 3\n5205 \"'''\" 3\n5206 \"')(\" 3\n5207 \"'))\" 3\n5208 \"'),\" 3\n5209 \"').\" 3\n5210 \"'):\" 3\n5211 \"');\" 3\n5212 \"')[\" 3\n5213 \"')]\" 3\n5214 \"','\" 3\n5215 \"':'\" 3\n5216 \"'</\" 3\n5217 \"'=>\" 3\n5218 \"'><\" 3\n5219 \"'])\" 3\n5220 \"']*\" 3\n5221 \"'],\" 3\n5222 \"'].\" 3\n5223 \"']:\" 3\n5224 \"'];\" 3\n5225 \"']=\" 3\n5226 \"'][\" 3\n5227 \"']]\" 3\n5228 \"']}\" 3\n5229 \"'ll\" 3\n5230 \"'re\" 3\n5231 \"'ve\" 3\n5232 \"'})\" 3\n5233 \"'},\" 3\n5234 '(\"\"' 3\n5235 '(\"#' 3\n5236 '(\"%' 3\n5237 '(\"+' 3\n5238 '(\",' 3\n5239 '(\"-' 3\n5240 '(\".' 3\n5241 '(\"/' 3\n5242 '(\":' 3\n5243 '(\"<' 3\n5244 '(\"@' 3\n5245 '(\"\\\\' 3\n5246 '($_' 3\n5247 \"('#\" 3\n5248 \"('$\" 3\n5249 \"(',\" 3\n5250 \"('-\" 3\n5251 \"('.\" 3\n5252 \"('/\" 3\n5253 \"(':\" 3\n5254 \"('<\" 3\n5255 \"('@\" 3\n5256 \"('[\" 3\n5257 \"('\\\\\" 3\n5258 \"('^\" 3\n5259 \"('_\" 3\n5260 \"(('\" 3\n5261 '(((' 3\n5262 '(()' 3\n5263 '()\"' 3\n5264 '()(' 3\n5265 '())' 3\n5266 '(),' 3\n5267 '().' 3\n5268 '():' 3\n5269 '();' 3\n5270 '()[' 3\n5271 '()]' 3\n5272 '()`' 3\n5273 '(){' 3\n5274 '()}' 3\n5275 '(*)' 3\n5276 '(**' 3\n5277 '(?:' 3\n5278 '(@\"' 3\n5279 '([\"' 3\n5280 \"(['\" 3\n5281 '([[' 3\n5282 '([\\\\' 3\n5283 '([^' 3\n5284 '(__' 3\n5285 \"({'\" 3\n5286 ')\")' 3\n5287 ')\",' 3\n5288 ')\".' 3\n5289 ')\">' 3\n5290 \")',\" 3\n5291 ')(?' 3\n5292 ')))' 3\n5293 '))*' 3\n5294 ')),' 3\n5295 ')).' 3\n5296 '))/' 3\n5297 ')):' 3\n5298 '));' 3\n5299 '))?' 3\n5300 '))\\\\' 3\n5301 '))]' 3\n5302 ')){' 3\n5303 ')*(' 3\n5304 ')**' 3\n5305 ')+(' 3\n5306 '),(' 3\n5307 '),\\\\' 3\n5308 ')--' 3\n5309 ')->' 3\n5310 ').\"' 3\n5311 ')..' 3\n5312 ').[' 3\n5313 ').\\\\' 3\n5314 ')/(' 3\n5315 ');\\\\' 3\n5316 ')</' 3\n5317 ')=(' 3\n5318 ')\\\\\\\\' 3\n5319 ')])' 3\n5320 ')],' 3\n5321 ')].' 3\n5322 ')];' 3\n5323 ')})' 3\n5324 ')},' 3\n5325 ')}\\\\' 3\n5326 ')}}' 3\n5327 '*((' 3\n5328 '**(' 3\n5329 '***' 3\n5330 '**/' 3\n5331 '**:' 3\n5332 '+\")' 3\n5333 '+\"/' 3\n5334 \"+'.\" 3\n5335 \"+'/\" 3\n5336 \"+'_\" 3\n5337 '++)' 3\n5338 '++,' 3\n5339 '++;' 3\n5340 '++]' 3\n5341 \",''\" 3\n5342 ',**' 3\n5343 '-\",' 3\n5344 '--\"' 3\n5345 '--+' 3\n5346 '---' 3\n5347 '--;' 3\n5348 '-->' 3\n5349 '->_' 3\n5350 '.\"\"' 3\n5351 '.\")' 3\n5352 '.\",' 3\n5353 '.\"[' 3\n5354 '.$$' 3\n5355 '.\\'\"' 3\n5356 \".''\" 3\n5357 \".')\" 3\n5358 \".',\" 3\n5359 '.),' 3\n5360 '.).' 3\n5361 '.--' 3\n5362 '...' 3\n5363 '../' 3\n5364 '.</' 3\n5365 '.__' 3\n5366 '.«' 3\n5367 '.»' 3\n5368 '/\")' 3\n5369 '/\",' 3\n5370 '/\">' 3\n5371 \"/')\" 3\n5372 \"/',\" 3\n5373 '/*!' 3\n5374 '/**' 3\n5375 '/*.' 3\n5376 '///' 3\n5377 '/>.' 3\n5378 '/__' 3\n5379 ':\")' 3\n5380 ':\",' 3\n5381 \":')\" 3\n5382 \":',\" 3\n5383 ':**' 3\n5384 ':--' 3\n5385 '://' 3\n5386 ':</' 3\n5387 ':@\"' 3\n5388 ':\\\\\\\\' 3\n5389 ':])' 3\n5390 ':],' 3\n5391 ':].' 3\n5392 ';\">' 3\n5393 ';</' 3\n5394 '=\"\"' 3\n5395 '=\"#' 3\n5396 '=\"$' 3\n5397 '=\"\\'' 3\n5398 '=\"+' 3\n5399 '=\",' 3\n5400 '=\"-' 3\n5401 '=\".' 3\n5402 '=\"/' 3\n5403 '=\"<' 3\n5404 '=\"@' 3\n5405 '=\"\\\\' 3\n5406 '=\"_' 3\n5407 '=\"{' 3\n5408 '=$(' 3\n5409 '=${' 3\n5410 '=\\'\"' 3\n5411 \"='#\" 3\n5412 \"=''\" 3\n5413 \"='+\" 3\n5414 \"=',\" 3\n5415 \"='/\" 3\n5416 '==\"' 3\n5417 \"=='\" 3\n5418 '===' 3\n5419 '=[\"' 3\n5420 \"=['\" 3\n5421 '=[[' 3\n5422 '=[]' 3\n5423 '=\\\\\"' 3\n5424 '=\\\\{' 3\n5425 '={\"' 3\n5426 \"={'\" 3\n5427 '={\\\\' 3\n5428 '={{' 3\n5429 '={}' 3\n5430 '>\")' 3\n5431 '>\",' 3\n5432 '>\";' 3\n5433 \">')\" 3\n5434 \">',\" 3\n5435 \">';\" 3\n5436 '>()' 3\n5437 '>).' 3\n5438 '>::' 3\n5439 '></' 3\n5440 '>>>' 3\n5441 '>{{' 3\n5442 '?\",' 3\n5443 \"?',\" 3\n5444 '?),' 3\n5445 '?).' 3\n5446 '???' 3\n5447 'AAA' 3\n5448 'ABA' 3\n5449 'ABC' 3\n5450 'ABI' 3\n5451 'ABS' 3\n5452 'ACA' 3\n5453 'ACC' 3\n5454 'ACE' 3\n5455 'ACH' 3\n5456 'ACK' 3\n5457 'ACP' 3\n5458 'ACS' 3\n5459 'ACT' 3\n5460 'ADA' 3\n5461 'ADC' 3\n5462 'ADD' 3\n5463 'ADE' 3\n5464 'ADO' 3\n5465 'ADS' 3\n5466 'AES' 3\n5467 'AFF' 3\n5468 'AFP' 3\n5469 'AGE' 3\n5470 'AGG' 3\n5471 'AIL' 3\n5472 'AIN' 3\n5473 'AIR' 3\n5474 'ALA' 3\n5475 'ALE' 3\n5476 'ALK' 3\n5477 'ALL' 3\n5478 'ALS' 3\n5479 'ALT' 3\n5480 'AMA' 3\n5481 'AMB' 3\n5482 'AMD' 3\n5483 'AME' 3\n5484 'AMI' 3\n5485 'AML' 3\n5486 'AMP' 3\n5487 'AMS' 3\n5488 'ANA' 3\n5489 'ANC' 3\n5490 'AND' 3\n5491 'ANE' 3\n5492 'ANG' 3\n5493 'ANI' 3\n5494 'ANK' 3\n5495 'ANN' 3\n5496 'ANO' 3\n5497 'ANS' 3\n5498 'ANT' 3\n5499 'ANY' 3\n5500 'APE' 3\n5501 'APH' 3\n5502 'API' 3\n5503 'APP' 3\n5504 'APS' 3\n5505 'ARA' 3\n5506 'ARB' 3\n5507 'ARC' 3\n5508 'ARD' 3\n5509 'ARE' 3\n5510 'ARG' 3\n5511 'ARI' 3\n5512 'ARK' 3\n5513 'ARM' 3\n5514 'ARN' 3\n5515 'ARP' 3\n5516 'ARR' 3\n5517 'ARS' 3\n5518 'ART' 3\n5519 'ARY' 3\n5520 'ASA' 3\n5521 'ASC' 3\n5522 'ASE' 3\n5523 'ASH' 3\n5524 'ASK' 3\n5525 'ASM' 3\n5526 'ASP' 3\n5527 'ASS' 3\n5528 'AST' 3\n5529 'ASY' 3\n5530 'ATA' 3\n5531 'ATE' 3\n5532 'ATH' 3\n5533 'ATI' 3\n5534 'ATO' 3\n5535 'ATS' 3\n5536 'ATT' 3\n5537 'AUD' 3\n5538 'AUT' 3\n5539 'AVA' 3\n5540 'AVE' 3\n5541 'AWS' 3\n5542 'Abs' 3\n5543 'Acc' 3\n5544 'Ack' 3\n5545 'Act' 3\n5546 'Ada' 3\n5547 'Add' 3\n5548 'Adj' 3\n5549 'Adv' 3\n5550 'Aff' 3\n5551 'Age' 3\n5552 'Agg' 3\n5553 'Air' 3\n5554 'Akt' 3\n5555 'Ald' 3\n5556 'Ale' 3\n5557 'Alg' 3\n5558 'Ali' 3\n5559 'All' 3\n5560 'Alt' 3\n5561 'Amb' 3\n5562 'Amy' 3\n5563 'And' 3\n5564 'Ang' 3\n5565 'Ann' 3\n5566 'Ans' 3\n5567 'Ant' 3\n5568 'Any' 3\n5569 'Api' 3\n5570 'App' 3\n5571 'Apr' 3\n5572 'Aqu' 3\n5573 'Arc' 3\n5574 'Are' 3\n5575 'Arg' 3\n5576 'Ari' 3\n5577 'Arm' 3\n5578 'Arn' 3\n5579 'Arr' 3\n5580 'Art' 3\n5581 'Asc' 3\n5582 'Ash' 3\n5583 'Ask' 3\n5584 'Asp' 3\n5585 'Ass' 3\n5586 'Ast' 3\n5587 'Ath' 3\n5588 'Atl' 3\n5589 'Att' 3\n5590 'Aud' 3\n5591 'Aug' 3\n5592 'Aut' 3\n5593 'Aux' 3\n5594 'Avg' 3\n5595 'Aws' 3\n5596 'BAD' 3\n5597 'BAL' 3\n5598 'BAR' 3\n5599 'BAS' 3\n5600 'BAT' 3\n5601 'BBC' 3\n5602 'BER' 3\n5603 'BIG' 3\n5604 'BIN' 3\n5605 'BIT' 3\n5606 'BLE' 3\n5607 'BMI' 3\n5608 'BOT' 3\n5609 'BOX' 3\n5610 'BRE' 3\n5611 'BSD' 3\n5612 'BUF' 3\n5613 'BUG' 3\n5614 'BUR' 3\n5615 'BUS' 3\n5616 'Bab' 3\n5617 'Bad' 3\n5618 'Bag' 3\n5619 'Bah' 3\n5620 'Bal' 3\n5621 'Ban' 3\n5622 'Bar' 3\n5623 'Bas' 3\n5624 'Bat' 3\n5625 'Bay' 3\n5626 'Bbb' 3\n5627 'Bed' 3\n5628 'Bel' 3\n5629 'Ben' 3\n5630 'Ber' 3\n5631 'Bes' 3\n5632 'Bet' 3\n5633 'Bib' 3\n5634 'Bid' 3\n5635 'Big' 3\n5636 'Bin' 3\n5637 'Bio' 3\n5638 'Bir' 3\n5639 'Bit' 3\n5640 'Blo' 3\n5641 'Bob' 3\n5642 'Bol' 3\n5643 'Bon' 3\n5644 'Bor' 3\n5645 'Bot' 3\n5646 'Bow' 3\n5647 'Box' 3\n5648 'Boy' 3\n5649 'Bra' 3\n5650 'Bre' 3\n5651 'Bro' 3\n5652 'Btn' 3\n5653 'Buf' 3\n5654 'Bug' 3\n5655 'Bul' 3\n5656 'Bur' 3\n5657 'Bus' 3\n5658 'But' 3\n5659 'Buy' 3\n5660 'CAC' 3\n5661 'CAD' 3\n5662 'CAL' 3\n5663 'CAM' 3\n5664 'CAN' 3\n5665 'CAP' 3\n5666 'CAR' 3\n5667 'CAS' 3\n5668 'CAT' 3\n5669 'CBC' 3\n5670 'CBS' 3\n5671 'CCA' 3\n5672 'CCC' 3\n5673 'CDC' 3\n5674 'CDF' 3\n5675 'CEL' 3\n5676 'CEO' 3\n5677 'CEP' 3\n5678 'CER' 3\n5679 'CES' 3\n5680 'CFG' 3\n5681 'CHA' 3\n5682 'CHE' 3\n5683 'CHO' 3\n5684 'CHR' 3\n5685 'CID' 3\n5686 'CLA' 3\n5687 'CLC' 3\n5688 'CLE' 3\n5689 'CLI' 3\n5690 'CLK' 3\n5691 'CLS' 3\n5692 'CLU' 3\n5693 'CMD' 3\n5694 'CMS' 3\n5695 'CNN' 3\n5696 'CNT' 3\n5697 'COD' 3\n5698 'COL' 3\n5699 'COM' 3\n5700 'CON' 3\n5701 'COR' 3\n5702 'COS' 3\n5703 'CPP' 3\n5704 'CPU' 3\n5705 'CRC' 3\n5706 'CRE' 3\n5707 'CSI' 3\n5708 'CSS' 3\n5709 'CSV' 3\n5710 'CTC' 3\n5711 'CTL' 3\n5712 'CTT' 3\n5713 'CTX' 3\n5714 'CUR' 3\n5715 'Cab' 3\n5716 'Cad' 3\n5717 'Cal' 3\n5718 'Cam' 3\n5719 'Can' 3\n5720 'Cap' 3\n5721 'Car' 3\n5722 'Cas' 3\n5723 'Cat' 3\n5724 'Cel' 3\n5725 'Cfg' 3\n5726 'Cha' 3\n5727 'Che' 3\n5728 'Chi' 3\n5729 'Cho' 3\n5730 'Cir' 3\n5731 'Cit' 3\n5732 'Cla' 3\n5733 'Cle' 3\n5734 'Cli' 3\n5735 'Clo' 3\n5736 'Cmd' 3\n5737 'Cnt' 3\n5738 'CoV' 3\n5739 'Cod' 3\n5740 'Cog' 3\n5741 'Col' 3\n5742 'Com' 3\n5743 'Con' 3\n5744 'Cop' 3\n5745 'Cor' 3\n5746 'Cos' 3\n5747 'Cov' 3\n5748 'Cre' 3\n5749 'Cro' 3\n5750 'Css' 3\n5751 'Csv' 3\n5752 'Ctr' 3\n5753 'Ctx' 3\n5754 'Cur' 3\n5755 'Cut' 3\n5756 'DAC' 3\n5757 'DAG' 3\n5758 'DAO' 3\n5759 'DAT' 3\n5760 'DAY' 3\n5761 'DBC' 3\n5762 'DEC' 3\n5763 'DED' 3\n5764 'DEF' 3\n5765 'DEL' 3\n5766 'DEM' 3\n5767 'DEN' 3\n5768 'DEP' 3\n5769 'DER' 3\n5770 'DES' 3\n5771 'DET' 3\n5772 'DEV' 3\n5773 'DEX' 3\n5774 'DIC' 3\n5775 'DIG' 3\n5776 'DIM' 3\n5777 'DIR' 3\n5778 'DIS' 3\n5779 'DIV' 3\n5780 'DLL' 3\n5781 'DNA' 3\n5782 'DNS' 3\n5783 'DOC' 3\n5784 'DOM' 3\n5785 'DON' 3\n5786 'DOT' 3\n5787 'DTD' 3\n5788 'DVD' 3\n5789 'Dal' 3\n5790 'Dam' 3\n5791 'Dan' 3\n5792 'Dao' 3\n5793 'Dar' 3\n5794 'Das' 3\n5795 'Dat' 3\n5796 'Dav' 3\n5797 'Day' 3\n5798 'Deb' 3\n5799 'Dec' 3\n5800 'Def' 3\n5801 'Deg' 3\n5802 'Del' 3\n5803 'Dem' 3\n5804 'Den' 3\n5805 'Dep' 3\n5806 'Der' 3\n5807 'Des' 3\n5808 'Det' 3\n5809 'Dev' 3\n5810 'Dic' 3\n5811 'Did' 3\n5812 'Die' 3\n5813 'Dig' 3\n5814 'Dim' 3\n5815 'Dir' 3\n5816 'Dis' 3\n5817 'Div' 3\n5818 'Dlg' 3\n5819 'Doc' 3\n5820 'Dog' 3\n5821 'Dom' 3\n5822 'Don' 3\n5823 'Dot' 3\n5824 'Dou' 3\n5825 'Dry' 3\n5826 'Dub' 3\n5827 'Due' 3\n5828 'Dup' 3\n5829 'Dur' 3\n5830 'Dyn' 3\n5831 'Dé' 3\n5832 'EAR' 3\n5833 'ECD' 3\n5834 'ECK' 3\n5835 'ECT' 3\n5836 'EEE' 3\n5837 'EEK' 3\n5838 'EFF' 3\n5839 'ELD' 3\n5840 'ELE' 3\n5841 'ELL' 3\n5842 'ELS' 3\n5843 'ELY' 3\n5844 'EMA' 3\n5845 'EMP' 3\n5846 'ENA' 3\n5847 'ENC' 3\n5848 'END' 3\n5849 'ENE' 3\n5850 'ENG' 3\n5851 'ENO' 3\n5852 'ENS' 3\n5853 'ENT' 3\n5854 'ENV' 3\n5855 'EOF' 3\n5856 'EPS' 3\n5857 'ERA' 3\n5858 'ERC' 3\n5859 'ERE' 3\n5860 'ERN' 3\n5861 'ERO' 3\n5862 'ERR' 3\n5863 'ERS' 3\n5864 'ERT' 3\n5865 'ERV' 3\n5866 'ERY' 3\n5867 'ESA' 3\n5868 'ESC' 3\n5869 'ESH' 3\n5870 'ESP' 3\n5871 'ESS' 3\n5872 'EST' 3\n5873 'ETA' 3\n5874 'ETH' 3\n5875 'ETS' 3\n5876 'EUR' 3\n5877 'EXP' 3\n5878 'EXT' 3\n5879 'Ear' 3\n5880 'Eff' 3\n5881 'Ele' 3\n5882 'Ell' 3\n5883 'Emb' 3\n5884 'Emp' 3\n5885 'Enc' 3\n5886 'End' 3\n5887 'Eng' 3\n5888 'Enh' 3\n5889 'Ent' 3\n5890 'Env' 3\n5891 'Equ' 3\n5892 'Err' 3\n5893 'Esc' 3\n5894 'Esp' 3\n5895 'Ess' 3\n5896 'Est' 3\n5897 'Eth' 3\n5898 'Exc' 3\n5899 'Exp' 3\n5900 'Ext' 3\n5901 'Eye' 3\n5902 'FER' 3\n5903 'FET' 3\n5904 'FFF' 3\n5905 'FFT' 3\n5906 'FIG' 3\n5907 'FIL' 3\n5908 'FIN' 3\n5909 'FIR' 3\n5910 'FIT' 3\n5911 'FIX' 3\n5912 'FLO' 3\n5913 'FOR' 3\n5914 'FUN' 3\n5915 'Fab' 3\n5916 'Fac' 3\n5917 'Fal' 3\n5918 'Fan' 3\n5919 'Far' 3\n5920 'Fat' 3\n5921 'Feb' 3\n5922 'Fed' 3\n5923 'Fel' 3\n5924 'Fer' 3\n5925 'Few' 3\n5926 'Fig' 3\n5927 'Fil' 3\n5928 'Fin' 3\n5929 'Fit' 3\n5930 'Fix' 3\n5931 'Flo' 3\n5932 'Flu' 3\n5933 'Fly' 3\n5934 'Fmt' 3\n5935 'Foo' 3\n5936 'For' 3\n5937 'Fox' 3\n5938 'Fra' 3\n5939 'Fre' 3\n5940 'Fri' 3\n5941 'Fun' 3\n5942 'GAL' 3\n5943 'GAN' 3\n5944 'GAT' 3\n5945 'GBT' 3\n5946 'GCC' 3\n5947 'GEN' 3\n5948 'GER' 3\n5949 'GES' 3\n5950 'GET' 3\n5951 'GHz' 3\n5952 'GIN' 3\n5953 'GIS' 3\n5954 'GIT' 3\n5955 'GLE' 3\n5956 'GMT' 3\n5957 'GNU' 3\n5958 'GPL' 3\n5959 'GPS' 3\n5960 'GPU' 3\n5961 'GRA' 3\n5962 'GRE' 3\n5963 'GRO' 3\n5964 'GRP' 3\n5965 'GUI' 3\n5966 'Gab' 3\n5967 'Gal' 3\n5968 'Gap' 3\n5969 'Gar' 3\n5970 'Gas' 3\n5971 'GeV' 3\n5972 'Gem' 3\n5973 'Gen' 3\n5974 'Geo' 3\n5975 'Ger' 3\n5976 'Get' 3\n5977 'Gib' 3\n5978 'Gil' 3\n5979 'Git' 3\n5980 'God' 3\n5981 'Got' 3\n5982 'Gra' 3\n5983 'Gre' 3\n5984 'Gro' 3\n5985 'Gui' 3\n5986 'Gun' 3\n5987 'Guy' 3\n5988 'HAL' 3\n5989 'HAS' 3\n5990 'HEL' 3\n5991 'HER' 3\n5992 'HIV' 3\n5993 'HOW' 3\n5994 'Had' 3\n5995 'Hal' 3\n5996 'Ham' 3\n5997 'Han' 3\n5998 'Har' 3\n5999 'Has' 3\n6000 'Haw' 3\n6001 'Hay' 3\n6002 'Haz' 3\n6003 'Hel' 3\n6004 'Hen' 3\n6005 'Her' 3\n6006 'Hex' 3\n6007 'Hey' 3\n6008 'Hig' 3\n6009 'Hip' 3\n6010 'His' 3\n6011 'Hit' 3\n6012 'Hol' 3\n6013 'Hom' 3\n6014 'Hon' 3\n6015 'Hop' 3\n6016 'Hor' 3\n6017 'Hot' 3\n6018 'How' 3\n6019 'Hub' 3\n6020 'Hum' 3\n6021 'IAL' 3\n6022 'IAN' 3\n6023 'IAS' 3\n6024 'IBM' 3\n6025 'ICA' 3\n6026 'ICC' 3\n6027 'ICE' 3\n6028 'ICH' 3\n6029 'ICI' 3\n6030 'ICK' 3\n6031 'ICO' 3\n6032 'ICS' 3\n6033 'ICT' 3\n6034 'IDA' 3\n6035 'IDD' 3\n6036 'IDE' 3\n6037 'IDI' 3\n6038 'IDS' 3\n6039 'IDs' 3\n6040 'IED' 3\n6041 'IER' 3\n6042 'IES' 3\n6043 'IEW' 3\n6044 'IFE' 3\n6045 'IFF' 3\n6046 'IFI' 3\n6047 'IFT' 3\n6048 'IFY' 3\n6049 'IGH' 3\n6050 'IGN' 3\n6051 'III' 3\n6052 'ILD' 3\n6053 'ILE' 3\n6054 'ILL' 3\n6055 'ILS' 3\n6056 'ILY' 3\n6057 'IMA' 3\n6058 'IME' 3\n6059 'IMG' 3\n6060 'IMO' 3\n6061 'IMP' 3\n6062 'IMS' 3\n6063 'INA' 3\n6064 'INC' 3\n6065 'IND' 3\n6066 'INE' 3\n6067 'INF' 3\n6068 'ING' 3\n6069 'INI' 3\n6070 'INK' 3\n6071 'INO' 3\n6072 'INS' 3\n6073 'INT' 3\n6074 'ION' 3\n6075 'IOR' 3\n6076 'IOS' 3\n6077 'IPA' 3\n6078 'IPP' 3\n6079 'IPS' 3\n6080 'IPT' 3\n6081 'IPV' 3\n6082 'IPv' 3\n6083 'IRA' 3\n6084 'IRC' 3\n6085 'IRD' 3\n6086 'IRE' 3\n6087 'IRS' 3\n6088 'IRT' 3\n6089 'ISA' 3\n6090 'ISC' 3\n6091 'ISE' 3\n6092 'ISH' 3\n6093 'ISM' 3\n6094 'ISO' 3\n6095 'ISP' 3\n6096 'ISS' 3\n6097 'IST' 3\n6098 'ITA' 3\n6099 'ITE' 3\n6100 'ITH' 3\n6101 'ITS' 3\n6102 'ITT' 3\n6103 'ITY' 3\n6104 'IUM' 3\n6105 'IVE' 3\n6106 'IZE' 3\n6107 'Ice' 3\n6108 'Ich' 3\n6109 'Ide' 3\n6110 'Ids' 3\n6111 'Idx' 3\n6112 'Ign' 3\n6113 'Ill' 3\n6114 'Img' 3\n6115 'Imm' 3\n6116 'Imp' 3\n6117 'Inc' 3\n6118 'Ind' 3\n6119 'Inf' 3\n6120 'Ing' 3\n6121 'Ini' 3\n6122 'Ins' 3\n6123 'Int' 3\n6124 'Inv' 3\n6125 'Ion' 3\n6126 'Isa' 3\n6127 'Isn' 3\n6128 'Iso' 3\n6129 'Iss' 3\n6130 'Its' 3\n6131 'JOB' 3\n6132 'JPG' 3\n6133 'Jac' 3\n6134 'Jam' 3\n6135 'Jan' 3\n6136 'Jar' 3\n6137 'Jay' 3\n6138 'Jen' 3\n6139 'Jer' 3\n6140 'Jet' 3\n6141 'Jim' 3\n6142 'Job' 3\n6143 'Joe' 3\n6144 'Joh' 3\n6145 'Jon' 3\n6146 'Jos' 3\n6147 'Joy' 3\n6148 'Jud' 3\n6149 'Jul' 3\n6150 'Jun' 3\n6151 'KEN' 3\n6152 'KER' 3\n6153 'KEY' 3\n6154 'Kal' 3\n6155 'Kam' 3\n6156 'Kar' 3\n6157 'Kat' 3\n6158 'Kay' 3\n6159 'Ken' 3\n6160 'Ker' 3\n6161 'Key' 3\n6162 'Kim' 3\n6163 'Kin' 3\n6164 'Kir' 3\n6165 'Kit' 3\n6166 'Kon' 3\n6167 'LAB' 3\n6168 'LAN' 3\n6169 'LAR' 3\n6170 'LAS' 3\n6171 'LAT' 3\n6172 'LAY' 3\n6173 'LED' 3\n6174 'LEN' 3\n6175 'LER' 3\n6176 'LES' 3\n6177 'LET' 3\n6178 'LEV' 3\n6179 'LEX' 3\n6180 'LEY' 3\n6181 'LIB' 3\n6182 'LIN' 3\n6183 'LOB' 3\n6184 'LOC' 3\n6185 'LOG' 3\n6186 'LOS' 3\n6187 'LOW' 3\n6188 'Lab' 3\n6189 'Lag' 3\n6190 'Lam' 3\n6191 'Lap' 3\n6192 'Lar' 3\n6193 'Las' 3\n6194 'Lat' 3\n6195 'Law' 3\n6196 'Lay' 3\n6197 'Lbl' 3\n6198 'Lee' 3\n6199 'Leg' 3\n6200 'Len' 3\n6201 'Les' 3\n6202 'Let' 3\n6203 'Lev' 3\n6204 'Lew' 3\n6205 'Lex' 3\n6206 'Lib' 3\n6207 'Lic' 3\n6208 'Lie' 3\n6209 'Lif' 3\n6210 'Lik' 3\n6211 'Lim' 3\n6212 'Lin' 3\n6213 'Lip' 3\n6214 'Lit' 3\n6215 'Lng' 3\n6216 'Loc' 3\n6217 'Log' 3\n6218 'Lon' 3\n6219 'Los' 3\n6220 'Lot' 3\n6221 'Lou' 3\n6222 'Low' 3\n6223 'Lua' 3\n6224 'Luc' 3\n6225 'Lux' 3\n6226 'MAC' 3\n6227 'MAG' 3\n6228 'MAL' 3\n6229 'MAN' 3\n6230 'MAP' 3\n6231 'MAR' 3\n6232 'MAS' 3\n6233 'MAT' 3\n6234 'MAX' 3\n6235 'MED' 3\n6236 'MEM' 3\n6237 'MEN' 3\n6238 'MER' 3\n6239 'MES' 3\n6240 'MET' 3\n6241 'MHz' 3\n6242 'MIC' 3\n6243 'MIN' 3\n6244 'MIS' 3\n6245 'MIT' 3\n6246 'MIX' 3\n6247 'MLE' 3\n6248 'MLP' 3\n6249 'MOD' 3\n6250 'MON' 3\n6251 'MOS' 3\n6252 'MOV' 3\n6253 'MPI' 3\n6254 'MPL' 3\n6255 'MRI' 3\n6256 'MSC' 3\n6257 'MSE' 3\n6258 'MSG' 3\n6259 'Mac' 3\n6260 'Mad' 3\n6261 'Mag' 3\n6262 'Mah' 3\n6263 'Mal' 3\n6264 'Man' 3\n6265 'Map' 3\n6266 'Mar' 3\n6267 'Mas' 3\n6268 'Mat' 3\n6269 'Max' 3\n6270 'May' 3\n6271 'McC' 3\n6272 'Med' 3\n6273 'Meg' 3\n6274 'Mel' 3\n6275 'Mem' 3\n6276 'Men' 3\n6277 'Mer' 3\n6278 'Mes' 3\n6279 'Met' 3\n6280 'Mex' 3\n6281 'Mgr' 3\n6282 'Mic' 3\n6283 'Mid' 3\n6284 'Mil' 3\n6285 'Min' 3\n6286 'Mir' 3\n6287 'Mis' 3\n6288 'Mit' 3\n6289 'Mix' 3\n6290 'Mob' 3\n6291 'Mod' 3\n6292 'Moh' 3\n6293 'Mol' 3\n6294 'Mom' 3\n6295 'Mon' 3\n6296 'Mor' 3\n6297 'Mot' 3\n6298 'Mov' 3\n6299 'Mrs' 3\n6300 'Msg' 3\n6301 'Mul' 3\n6302 'Mur' 3\n6303 'Mus' 3\n6304 'Mut' 3\n6305 'Mvc' 3\n6306 'NAL' 3\n6307 'NAM' 3\n6308 'NAS' 3\n6309 'NAT' 3\n6310 'NBC' 3\n6311 'NEL' 3\n6312 'NER' 3\n6313 'NES' 3\n6314 'NET' 3\n6315 'NEW' 3\n6316 'NON' 3\n6317 'NOR' 3\n6318 'NOT' 3\n6319 'NOW' 3\n6320 'NPC' 3\n6321 'NUM' 3\n6322 'NaN' 3\n6323 'Nam' 3\n6324 'Nan' 3\n6325 'Nat' 3\n6326 'Nav' 3\n6327 'Neg' 3\n6328 'Net' 3\n6329 'New' 3\n6330 'Nic' 3\n6331 'Nik' 3\n6332 'Nil' 3\n6333 'Nit' 3\n6334 'Nom' 3\n6335 'Non' 3\n6336 'Nor' 3\n6337 'Nos' 3\n6338 'Not' 3\n6339 'Nov' 3\n6340 'Now' 3\n6341 'Num' 3\n6342 'OBJ' 3\n6343 'OCI' 3\n6344 'OCK' 3\n6345 'OCT' 3\n6346 'ODE' 3\n6347 'ODO' 3\n6348 'ODY' 3\n6349 'OFF' 3\n6350 'OID' 3\n6351 'OLD' 3\n6352 'OME' 3\n6353 'ONA' 3\n6354 'OND' 3\n6355 'ONE' 3\n6356 'ONG' 3\n6357 'ONS' 3\n6358 'ONT' 3\n6359 'OPS' 3\n6360 'OPT' 3\n6361 'ORA' 3\n6362 'ORD' 3\n6363 'ORE' 3\n6364 'ORG' 3\n6365 'ORK' 3\n6366 'ORM' 3\n6367 'ORN' 3\n6368 'ORS' 3\n6369 'ORT' 3\n6370 'ORY' 3\n6371 'OSE' 3\n6372 'OSS' 3\n6373 'OST' 3\n6374 'OTA' 3\n6375 'OTE' 3\n6376 'OTH' 3\n6377 'OTO' 3\n6378 'OTP' 3\n6379 'OTS' 3\n6380 'OTT' 3\n6381 'OUR' 3\n6382 'OUS' 3\n6383 'OUT' 3\n6384 'OVA' 3\n6385 'OVE' 3\n6386 'OWN' 3\n6387 'Obj' 3\n6388 'Obs' 3\n6389 'Occ' 3\n6390 'Oct' 3\n6391 'Off' 3\n6392 'Old' 3\n6393 'One' 3\n6394 'Ont' 3\n6395 'Opp' 3\n6396 'Ops' 3\n6397 'Opt' 3\n6398 'Ord' 3\n6399 'Org' 3\n6400 'Ori' 3\n6401 'Our' 3\n6402 'Out' 3\n6403 'Own' 3\n6404 'PAD' 3\n6405 'PAN' 3\n6406 'PAR' 3\n6407 'PAS' 3\n6408 'PAT' 3\n6409 'PBS' 3\n6410 'PCA' 3\n6411 'PCI' 3\n6412 'PCM' 3\n6413 'PCR' 3\n6414 'PDF' 3\n6415 'PED' 3\n6416 'PEG' 3\n6417 'PER' 3\n6418 'PET' 3\n6419 'PHA' 3\n6420 'PHP' 3\n6421 'PIC' 3\n6422 'PID' 3\n6423 'PIN' 3\n6424 'PIO' 3\n6425 'PIP' 3\n6426 'PLA' 3\n6427 'PLC' 3\n6428 'PLE' 3\n6429 'PNG' 3\n6430 'POL' 3\n6431 'POP' 3\n6432 'POR' 3\n6433 'POS' 3\n6434 'PRE' 3\n6435 'PRI' 3\n6436 'PRO' 3\n6437 'PTR' 3\n6438 'PUT' 3\n6439 'PWM' 3\n6440 'Pac' 3\n6441 'Pad' 3\n6442 'Pag' 3\n6443 'Pak' 3\n6444 'Pal' 3\n6445 'Pan' 3\n6446 'Pap' 3\n6447 'Par' 3\n6448 'Pas' 3\n6449 'Pat' 3\n6450 'Pay' 3\n6451 'Pdf' 3\n6452 'Ped' 3\n6453 'Pen' 3\n6454 'Per' 3\n6455 'Pet' 3\n6456 'Phi' 3\n6457 'Pic' 3\n6458 'Pie' 3\n6459 'Pin' 3\n6460 'Pix' 3\n6461 'Pod' 3\n6462 'Pol' 3\n6463 'Pop' 3\n6464 'Por' 3\n6465 'Pos' 3\n6466 'Pot' 3\n6467 'Pow' 3\n6468 'Pre' 3\n6469 'Pri' 3\n6470 'Pro' 3\n6471 'Psi' 3\n6472 'Ptr' 3\n6473 'Pub' 3\n6474 'Pur' 3\n6475 'Put' 3\n6476 'QUE' 3\n6477 'Qty' 3\n6478 'Que' 3\n6479 'Qui' 3\n6480 'RAD' 3\n6481 'RAL' 3\n6482 'RAM' 3\n6483 'RAN' 3\n6484 'RAW' 3\n6485 'RAY' 3\n6486 'REC' 3\n6487 'RED' 3\n6488 'REE' 3\n6489 'REF' 3\n6490 'REG' 3\n6491 'REL' 3\n6492 'REM' 3\n6493 'REN' 3\n6494 'REP' 3\n6495 'REQ' 3\n6496 'RES' 3\n6497 'RET' 3\n6498 'RFC' 3\n6499 'RGB' 3\n6500 'RIC' 3\n6501 'RIX' 3\n6502 'RMS' 3\n6503 'RNA' 3\n6504 'RNN' 3\n6505 'ROC' 3\n6506 'ROI' 3\n6507 'ROL' 3\n6508 'ROM' 3\n6509 'RON' 3\n6510 'ROP' 3\n6511 'ROS' 3\n6512 'ROT' 3\n6513 'ROW' 3\n6514 'RPC' 3\n6515 'RSA' 3\n6516 'RSS' 3\n6517 'RTC' 3\n6518 'RUN' 3\n6519 'Rab' 3\n6520 'Rad' 3\n6521 'Ram' 3\n6522 'Rat' 3\n6523 'Raw' 3\n6524 'Ray' 3\n6525 'Rec' 3\n6526 'Red' 3\n6527 'Ref' 3\n6528 'Reg' 3\n6529 'Rel' 3\n6530 'Rem' 3\n6531 'Ren' 3\n6532 'Rep' 3\n6533 'Req' 3\n6534 'Res' 3\n6535 'Ret' 3\n6536 'Rev' 3\n6537 'Rew' 3\n6538 'Ric' 3\n6539 'Rob' 3\n6540 'Rod' 3\n6541 'Rol' 3\n6542 'Rom' 3\n6543 'Ron' 3\n6544 'Ros' 3\n6545 'Rot' 3\n6546 'Row' 3\n6547 'Roy' 3\n6548 'Rub' 3\n6549 'Run' 3\n6550 'Ré' 3\n6551 'SAM' 3\n6552 'SAN' 3\n6553 'SAT' 3\n6554 'SCH' 3\n6555 'SCI' 3\n6556 'SCO' 3\n6557 'SCR' 3\n6558 'SDK' 3\n6559 'SDL' 3\n6560 'SEC' 3\n6561 'SED' 3\n6562 'SEE' 3\n6563 'SEG' 3\n6564 'SEL' 3\n6565 'SEM' 3\n6566 'SEP' 3\n6567 'SEQ' 3\n6568 'SER' 3\n6569 'SET' 3\n6570 'SHA' 3\n6571 'SID' 3\n6572 'SIG' 3\n6573 'SIM' 3\n6574 'SMS' 3\n6575 'SNP' 3\n6576 'SOC' 3\n6577 'SOL' 3\n6578 'SON' 3\n6579 'SPE' 3\n6580 'SPI' 3\n6581 'SQL' 3\n6582 'SRC' 3\n6583 'SSH' 3\n6584 'SSL' 3\n6585 'STA' 3\n6586 'STD' 3\n6587 'STE' 3\n6588 'STM' 3\n6589 'STR' 3\n6590 'STS' 3\n6591 'SUB' 3\n6592 'SUM' 3\n6593 'SUP' 3\n6594 'SUR' 3\n6595 'SVG' 3\n6596 'SYS' 3\n6597 'Sab' 3\n6598 'Sac' 3\n6599 'Sad' 3\n6600 'Saf' 3\n6601 'Sal' 3\n6602 'Sam' 3\n6603 'San' 3\n6604 'Sar' 3\n6605 'Sat' 3\n6606 'Sav' 3\n6607 'Say' 3\n6608 'Sch' 3\n6609 'Sci' 3\n6610 'Sdk' 3\n6611 'Sea' 3\n6612 'Sec' 3\n6613 'See' 3\n6614 'Seg' 3\n6615 'Sel' 3\n6616 'Sem' 3\n6617 'Sen' 3\n6618 'Sep' 3\n6619 'Seq' 3\n6620 'Ser' 3\n6621 'Set' 3\n6622 'Sex' 3\n6623 'Sha' 3\n6624 'She' 3\n6625 'Sid' 3\n6626 'Sig' 3\n6627 'Sil' 3\n6628 'Sim' 3\n6629 'Sin' 3\n6630 'Sir' 3\n6631 'Sit' 3\n6632 'Six' 3\n6633 'Sky' 3\n6634 'Soc' 3\n6635 'Sol' 3\n6636 'Son' 3\n6637 'Sou' 3\n6638 'Spe' 3\n6639 'Spl' 3\n6640 'Spr' 3\n6641 'Spy' 3\n6642 'Sql' 3\n6643 'Squ' 3\n6644 'Src' 3\n6645 'Sta' 3\n6646 'Std' 3\n6647 'Ste' 3\n6648 'Sto' 3\n6649 'Str' 3\n6650 'Sty' 3\n6651 'Sub' 3\n6652 'Suc' 3\n6653 'Sud' 3\n6654 'Sum' 3\n6655 'Sun' 3\n6656 'Sup' 3\n6657 'Sur' 3\n6658 'Sus' 3\n6659 'Sym' 3\n6660 'Syn' 3\n6661 'Sys' 3\n6662 'TAB' 3\n6663 'TAG' 3\n6664 'TCP' 3\n6665 'TED' 3\n6666 'TEM' 3\n6667 'TER' 3\n6668 'TES' 3\n6669 'TEX' 3\n6670 'THE' 3\n6671 'TIM' 3\n6672 'TLS' 3\n6673 'TMP' 3\n6674 'TON' 3\n6675 'TOP' 3\n6676 'TOR' 3\n6677 'TRA' 3\n6678 'TRY' 3\n6679 'Tab' 3\n6680 'Tag' 3\n6681 'Tai' 3\n6682 'Tak' 3\n6683 'Tal' 3\n6684 'Tam' 3\n6685 'Tan' 3\n6686 'Tap' 3\n6687 'Tar' 3\n6688 'Tax' 3\n6689 'TeV' 3\n6690 'TeX' 3\n6691 'Ted' 3\n6692 'Tek' 3\n6693 'Tel' 3\n6694 'Tem' 3\n6695 'Ten' 3\n6696 'Ter' 3\n6697 'Tes' 3\n6698 'Tex' 3\n6699 'The' 3\n6700 'Thu' 3\n6701 'Tim' 3\n6702 'Tip' 3\n6703 'Tit' 3\n6704 'Tmp' 3\n6705 'Tok' 3\n6706 'Tom' 3\n6707 'Ton' 3\n6708 'Too' 3\n6709 'Top' 3\n6710 'Tor' 3\n6711 'Tot' 3\n6712 'Toy' 3\n6713 'Tra' 3\n6714 'Tre' 3\n6715 'Tri' 3\n6716 'Tro' 3\n6717 'Try' 3\n6718 'Tue' 3\n6719 'Tur' 3\n6720 'Two' 3\n6721 'Txt' 3\n6722 'Typ' 3\n6723 'UAL' 3\n6724 'UCK' 3\n6725 'UCT' 3\n6726 'UDP' 3\n6727 'UES' 3\n6728 'UFF' 3\n6729 'UGH' 3\n6730 'UID' 3\n6731 'UIT' 3\n6732 'ULD' 3\n6733 'ULE' 3\n6734 'ULL' 3\n6735 'ULT' 3\n6736 'UME' 3\n6737 'UMN' 3\n6738 'UMP' 3\n6739 'UNC' 3\n6740 'UND' 3\n6741 'UNE' 3\n6742 'UNK' 3\n6743 'UNT' 3\n6744 'URA' 3\n6745 'URE' 3\n6746 'URI' 3\n6747 'URL' 3\n6748 'URN' 3\n6749 'URS' 3\n6750 'USA' 3\n6751 'USB' 3\n6752 'USD' 3\n6753 'USE' 3\n6754 'USH' 3\n6755 'USS' 3\n6756 'UST' 3\n6757 'UTC' 3\n6758 'UTE' 3\n6759 'UTF' 3\n6760 'UTH' 3\n6761 'Uid' 3\n6762 'Ult' 3\n6763 'Und' 3\n6764 'Uni' 3\n6765 'Uns' 3\n6766 'Uri' 3\n6767 'Url' 3\n6768 'Use' 3\n6769 'Usu' 3\n6770 'VAL' 3\n6771 'VAR' 3\n6772 'VED' 3\n6773 'VEL' 3\n6774 'VEN' 3\n6775 'VER' 3\n6776 'VES' 3\n6777 'VIC' 3\n6778 'VID' 3\n6779 'VIE' 3\n6780 'VII' 3\n6781 'VIS' 3\n6782 'VOL' 3\n6783 'VPN' 3\n6784 'Vac' 3\n6785 'Val' 3\n6786 'Van' 3\n6787 'Var' 3\n6788 'Vec' 3\n6789 'Vel' 3\n6790 'Ven' 3\n6791 'Ver' 3\n6792 'Via' 3\n6793 'Vin' 3\n6794 'Vir' 3\n6795 'Vis' 3\n6796 'Vol' 3\n6797 'WAR' 3\n6798 'WAY' 3\n6799 'WEB' 3\n6800 'WER' 3\n6801 'WHO' 3\n6802 'WID' 3\n6803 'WIN' 3\n6804 'WOR' 3\n6805 'Wal' 3\n6806 'War' 3\n6807 'Was' 3\n6808 'Wat' 3\n6809 'Way' 3\n6810 'Web' 3\n6811 'Wed' 3\n6812 'Wel' 3\n6813 'Who' 3\n6814 'Why' 3\n6815 'Wik' 3\n6816 'Wil' 3\n6817 'Win' 3\n6818 'Wol' 3\n6819 'Won' 3\n6820 'Wow' 3\n6821 'XML' 3\n6822 'XXX' 3\n6823 'XYZ' 3\n6824 'Xiv' 3\n6825 'Xml' 3\n6826 'YES' 3\n6827 'YLE' 3\n6828 'YOU' 3\n6829 'YPE' 3\n6830 'YYY' 3\n6831 'Yes' 3\n6832 'Yet' 3\n6833 'You' 3\n6834 'ZIP' 3\n6835 'Zen' 3\n6836 'Zip' 3\n6837 \"['_\" 3\n6838 '[:,' 3\n6839 '[:-' 3\n6840 '[:]' 3\n6841 \"[['\" 3\n6842 '[])' 3\n6843 '[],' 3\n6844 '[]{' 3\n6845 '\\\\\"\"' 3\n6846 '\\\\\",' 3\n6847 '\\\\\":' 3\n6848 '\\\\\">' 3\n6849 '\\\\\\\\\\\\' 3\n6850 '\\\\}$' 3\n6851 ']\")' 3\n6852 ']\",' 3\n6853 \"]',\" 3\n6854 '](#' 3\n6855 ']))' 3\n6856 ']),' 3\n6857 ']).' 3\n6858 ']):' 3\n6859 ']);' 3\n6860 '],[' 3\n6861 ']->' 3\n6862 '].[' 3\n6863 ']=\"' 3\n6864 '][\"' 3\n6865 \"]['\" 3\n6866 ']\\\\\\\\' 3\n6867 ']])' 3\n6868 ']],' 3\n6869 ']];' 3\n6870 ']},' 3\n6871 '^{+' 3\n6872 '^{-' 3\n6873 '^{\\\\' 3\n6874 '_(\"' 3\n6875 \"_('\" 3\n6876 '_->' 3\n6877 '__(' 3\n6878 '__)' 3\n6879 '__,' 3\n6880 '__.' 3\n6881 '___' 3\n6882 '_{\\\\' 3\n6883 '`).' 3\n6884 '```' 3\n6885 'aaa' 3\n6886 'aab' 3\n6887 'aan' 3\n6888 'aar' 3\n6889 'aba' 3\n6890 'abb' 3\n6891 'abc' 3\n6892 'abd' 3\n6893 'abe' 3\n6894 'abi' 3\n6895 'abl' 3\n6896 'abo' 3\n6897 'abr' 3\n6898 'abs' 3\n6899 'aby' 3\n6900 'aca' 3\n6901 'acc' 3\n6902 'ace' 3\n6903 'ach' 3\n6904 'aci' 3\n6905 'ack' 3\n6906 'acl' 3\n6907 'aco' 3\n6908 'acs' 3\n6909 'act' 3\n6910 'acy' 3\n6911 'ada' 3\n6912 'adb' 3\n6913 'add' 3\n6914 'ade' 3\n6915 'adh' 3\n6916 'adi' 3\n6917 'adj' 3\n6918 'adm' 3\n6919 'ado' 3\n6920 'adr' 3\n6921 'ads' 3\n6922 'adt' 3\n6923 'adu' 3\n6924 'adv' 3\n6925 'ady' 3\n6926 'aea' 3\n6927 'ael' 3\n6928 'aes' 3\n6929 'afa' 3\n6930 'afe' 3\n6931 'aff' 3\n6932 'afi' 3\n6933 'aft' 3\n6934 'aga' 3\n6935 'age' 3\n6936 'agg' 3\n6937 'agh' 3\n6938 'agi' 3\n6939 'agn' 3\n6940 'ago' 3\n6941 'agr' 3\n6942 'ags' 3\n6943 'agt' 3\n6944 'agu' 3\n6945 'agy' 3\n6946 'aha' 3\n6947 'ahi' 3\n6948 'ahl' 3\n6949 'ahn' 3\n6950 'aho' 3\n6951 'ahr' 3\n6952 'ahu' 3\n6953 'aic' 3\n6954 'aid' 3\n6955 'ail' 3\n6956 'aim' 3\n6957 'ain' 3\n6958 'air' 3\n6959 'ais' 3\n6960 'ait' 3\n6961 'aja' 3\n6962 'aje' 3\n6963 'aji' 3\n6964 'ajo' 3\n6965 'aju' 3\n6966 'aka' 3\n6967 'ake' 3\n6968 'akh' 3\n6969 'aki' 3\n6970 'akk' 3\n6971 'ako' 3\n6972 'aks' 3\n6973 'akt' 3\n6974 'aku' 3\n6975 'aky' 3\n6976 'ala' 3\n6977 'alc' 3\n6978 'ald' 3\n6979 'ale' 3\n6980 'alf' 3\n6981 'alg' 3\n6982 'ali' 3\n6983 'alk' 3\n6984 'all' 3\n6985 'alm' 3\n6986 'alo' 3\n6987 'als' 3\n6988 'alt' 3\n6989 'alu' 3\n6990 'aly' 3\n6991 'ama' 3\n6992 'amb' 3\n6993 'amd' 3\n6994 'ame' 3\n6995 'ami' 3\n6996 'aml' 3\n6997 'amm' 3\n6998 'amo' 3\n6999 'amp' 3\n7000 'ams' 3\n7001 'amt' 3\n7002 'amy' 3\n7003 'ana' 3\n7004 'anc' 3\n7005 'and' 3\n7006 'ane' 3\n7007 'ang' 3\n7008 'anh' 3\n7009 'ani' 3\n7010 'anj' 3\n7011 'ank' 3\n7012 'ann' 3\n7013 'ano' 3\n7014 'ans' 3\n7015 'ant' 3\n7016 'anu' 3\n7017 'any' 3\n7018 'anz' 3\n7019 'aos' 3\n7020 'apa' 3\n7021 'ape' 3\n7022 'aph' 3\n7023 'api' 3\n7024 'apk' 3\n7025 'apo' 3\n7026 'app' 3\n7027 'apr' 3\n7028 'aps' 3\n7029 'apt' 3\n7030 'apy' 3\n7031 'aqu' 3\n7032 'ara' 3\n7033 'arb' 3\n7034 'arc' 3\n7035 'ard' 3\n7036 'are' 3\n7037 'arf' 3\n7038 'arg' 3\n7039 'ari' 3\n7040 'ark' 3\n7041 'arl' 3\n7042 'arm' 3\n7043 'arn' 3\n7044 'aro' 3\n7045 'arp' 3\n7046 'arr' 3\n7047 'ars' 3\n7048 'art' 3\n7049 'aru' 3\n7050 'ary' 3\n7051 'asa' 3\n7052 'asc' 3\n7053 'ase' 3\n7054 'ash' 3\n7055 'asi' 3\n7056 'ask' 3\n7057 'asm' 3\n7058 'aso' 3\n7059 'asp' 3\n7060 'ass' 3\n7061 'ast' 3\n7062 'asu' 3\n7063 'asy' 3\n7064 'asz' 3\n7065 'ata' 3\n7066 'ate' 3\n7067 'ath' 3\n7068 'ati' 3\n7069 'atl' 3\n7070 'ato' 3\n7071 'atr' 3\n7072 'ats' 3\n7073 'att' 3\n7074 'atu' 3\n7075 'aty' 3\n7076 'atz' 3\n7077 'auc' 3\n7078 'aud' 3\n7079 'auf' 3\n7080 'aug' 3\n7081 'aul' 3\n7082 'aur' 3\n7083 'aus' 3\n7084 'aut' 3\n7085 'aux' 3\n7086 'ava' 3\n7087 'ave' 3\n7088 'avg' 3\n7089 'avi' 3\n7090 'avo' 3\n7091 'avy' 3\n7092 'awa' 3\n7093 'awi' 3\n7094 'awk' 3\n7095 'awn' 3\n7096 'aws' 3\n7097 'awt' 3\n7098 'axe' 3\n7099 'axy' 3\n7100 'aya' 3\n7101 'aye' 3\n7102 'ays' 3\n7103 'aza' 3\n7104 'aze' 3\n7105 'azi' 3\n7106 'azo' 3\n7107 'azu' 3\n7108 'azy' 3\n7109 'azz' 3\n7110 'añ' 3\n7111 'ać' 3\n7112 'ał' 3\n7113 'aż' 3\n7114 'bab' 3\n7115 'bac' 3\n7116 'bad' 3\n7117 'bag' 3\n7118 'bah' 3\n7119 'bai' 3\n7120 'bak' 3\n7121 'bal' 3\n7122 'bam' 3\n7123 'ban' 3\n7124 'bar' 3\n7125 'bas' 3\n7126 'bat' 3\n7127 'bau' 3\n7128 'bay' 3\n7129 'baz' 3\n7130 'bbc' 3\n7131 'bbe' 3\n7132 'bdd' 3\n7133 'bec' 3\n7134 'bed' 3\n7135 'bee' 3\n7136 'bef' 3\n7137 'beg' 3\n7138 'beh' 3\n7139 'bei' 3\n7140 'bek' 3\n7141 'bel' 3\n7142 'ben' 3\n7143 'ber' 3\n7144 'bes' 3\n7145 'bet' 3\n7146 'bey' 3\n7147 'bfd' 3\n7148 'bia' 3\n7149 'bib' 3\n7150 'bic' 3\n7151 'bid' 3\n7152 'bie' 3\n7153 'big' 3\n7154 'bil' 3\n7155 'bin' 3\n7156 'bio' 3\n7157 'bir' 3\n7158 'bis' 3\n7159 'bit' 3\n7160 'biz' 3\n7161 'bla' 3\n7162 'ble' 3\n7163 'blk' 3\n7164 'blo' 3\n7165 'blr' 3\n7166 'bly' 3\n7167 'bmp' 3\n7168 'bnb' 3\n7169 'boa' 3\n7170 'bob' 3\n7171 'bol' 3\n7172 'bon' 3\n7173 'boo' 3\n7174 'bor' 3\n7175 'bos' 3\n7176 'bot' 3\n7177 'bow' 3\n7178 'box' 3\n7179 'boy' 3\n7180 'bps' 3\n7181 'bra' 3\n7182 'bre' 3\n7183 'bro' 3\n7184 'bru' 3\n7185 'bsd' 3\n7186 'bst' 3\n7187 'btn' 3\n7188 'bud' 3\n7189 'buf' 3\n7190 'bug' 3\n7191 'bul' 3\n7192 'bum' 3\n7193 'bur' 3\n7194 'bus' 3\n7195 'but' 3\n7196 'buy' 3\n7197 'bye' 3\n7198 'bys' 3\n7199 'bé' 3\n7200 'bü' 3\n7201 'bě' 3\n7202 'cab' 3\n7203 'cac' 3\n7204 'cad' 3\n7205 'cal' 3\n7206 'cam' 3\n7207 'can' 3\n7208 'cap' 3\n7209 'car' 3\n7210 'cas' 3\n7211 'cat' 3\n7212 'cca' 3\n7213 'ccc' 3\n7214 'cci' 3\n7215 'cco' 3\n7216 'cdf' 3\n7217 'cdn' 3\n7218 'cea' 3\n7219 'ced' 3\n7220 'cel' 3\n7221 'cem' 3\n7222 'cen' 3\n7223 'cep' 3\n7224 'cer' 3\n7225 'ces' 3\n7226 'ceu' 3\n7227 'cfg' 3\n7228 'cgi' 3\n7229 'cha' 3\n7230 'che' 3\n7231 'chi' 3\n7232 'chk' 3\n7233 'chl' 3\n7234 'chn' 3\n7235 'cho' 3\n7236 'chr' 3\n7237 'chs' 3\n7238 'cht' 3\n7239 'chu' 3\n7240 'chy' 3\n7241 'cia' 3\n7242 'cid' 3\n7243 'cie' 3\n7244 'cig' 3\n7245 'cii' 3\n7246 'cil' 3\n7247 'cin' 3\n7248 'cio' 3\n7249 'cip' 3\n7250 'cir' 3\n7251 'cis' 3\n7252 'cit' 3\n7253 'cke' 3\n7254 'cki' 3\n7255 'cko' 3\n7256 'cks' 3\n7257 'cla' 3\n7258 'cle' 3\n7259 'clf' 3\n7260 'cli' 3\n7261 'clk' 3\n7262 'clo' 3\n7263 'cls' 3\n7264 'cmb' 3\n7265 'cmd' 3\n7266 'cmp' 3\n7267 'cms' 3\n7268 'cnt' 3\n7269 'cod' 3\n7270 'coe' 3\n7271 'col' 3\n7272 'com' 3\n7273 'con' 3\n7274 'cop' 3\n7275 'cor' 3\n7276 'cos' 3\n7277 'cot' 3\n7278 'cou' 3\n7279 'cov' 3\n7280 'cow' 3\n7281 'cox' 3\n7282 'cpp' 3\n7283 'cpu' 3\n7284 'cpy' 3\n7285 'cra' 3\n7286 'crc' 3\n7287 'cre' 3\n7288 'cri' 3\n7289 'cro' 3\n7290 'cru' 3\n7291 'cry' 3\n7292 'csr' 3\n7293 'css' 3\n7294 'csv' 3\n7295 'cta' 3\n7296 'ctl' 3\n7297 'ctr' 3\n7298 'ctu' 3\n7299 'ctx' 3\n7300 'cub' 3\n7301 'cue' 3\n7302 'cul' 3\n7303 'cum' 3\n7304 'cup' 3\n7305 'cur' 3\n7306 'cus' 3\n7307 'cut' 3\n7308 'cwd' 3\n7309 'czy' 3\n7310 'cé' 3\n7311 'cí' 3\n7312 'dac' 3\n7313 'dad' 3\n7314 'dag' 3\n7315 'dal' 3\n7316 'dam' 3\n7317 'dan' 3\n7318 'dao' 3\n7319 'dap' 3\n7320 'dar' 3\n7321 'das' 3\n7322 'dat' 3\n7323 'dav' 3\n7324 'day' 3\n7325 'dbc' 3\n7326 'dbg' 3\n7327 'dbl' 3\n7328 'ddd' 3\n7329 'dea' 3\n7330 'deb' 3\n7331 'dec' 3\n7332 'ded' 3\n7333 'dee' 3\n7334 'def' 3\n7335 'deg' 3\n7336 'dek' 3\n7337 'del' 3\n7338 'dem' 3\n7339 'den' 3\n7340 'dep' 3\n7341 'der' 3\n7342 'des' 3\n7343 'det' 3\n7344 'dev' 3\n7345 'dex' 3\n7346 'dez' 3\n7347 'dfs' 3\n7348 'dia' 3\n7349 'dic' 3\n7350 'did' 3\n7351 'die' 3\n7352 'dif' 3\n7353 'dig' 3\n7354 'dil' 3\n7355 'dim' 3\n7356 'din' 3\n7357 'dio' 3\n7358 'dip' 3\n7359 'dir' 3\n7360 'dis' 3\n7361 'dit' 3\n7362 'div' 3\n7363 'dle' 3\n7364 'dll' 3\n7365 'dna' 3\n7366 'dob' 3\n7367 'doc' 3\n7368 'dof' 3\n7369 'dog' 3\n7370 'doi' 3\n7371 'dol' 3\n7372 'dom' 3\n7373 'don' 3\n7374 'dor' 3\n7375 'dos' 3\n7376 'dot' 3\n7377 'dou' 3\n7378 'dpi' 3\n7379 'dra' 3\n7380 'dre' 3\n7381 'dri' 3\n7382 'dro' 3\n7383 'drv' 3\n7384 'dry' 3\n7385 'dst' 3\n7386 'dtd' 3\n7387 'duc' 3\n7388 'due' 3\n7389 'dup' 3\n7390 'dur' 3\n7391 'dyn' 3\n7392 'ead' 3\n7393 'eah' 3\n7394 'ean' 3\n7395 'ear' 3\n7396 'eas' 3\n7397 'eat' 3\n7398 'eau' 3\n7399 'eba' 3\n7400 'ebb' 3\n7401 'eca' 3\n7402 'ecc' 3\n7403 'ecd' 3\n7404 'ece' 3\n7405 'ech' 3\n7406 'eck' 3\n7407 'ecl' 3\n7408 'eco' 3\n7409 'ecs' 3\n7410 'ect' 3\n7411 'eda' 3\n7412 'edd' 3\n7413 'ede' 3\n7414 'edi' 3\n7415 'edo' 3\n7416 'eds' 3\n7417 'edu' 3\n7418 'edy' 3\n7419 'eed' 3\n7420 'een' 3\n7421 'eer' 3\n7422 'ees' 3\n7423 'efe' 3\n7424 'eff' 3\n7425 'eft' 3\n7426 'ega' 3\n7427 'egg' 3\n7428 'ego' 3\n7429 'egr' 3\n7430 'egu' 3\n7431 'eil' 3\n7432 'ein' 3\n7433 'eka' 3\n7434 'eki' 3\n7435 'eks' 3\n7436 'ekt' 3\n7437 'ela' 3\n7438 'eld' 3\n7439 'ele' 3\n7440 'elf' 3\n7441 'eli' 3\n7442 'ell' 3\n7443 'elm' 3\n7444 'eln' 3\n7445 'elo' 3\n7446 'elp' 3\n7447 'els' 3\n7448 'elt' 3\n7449 'elu' 3\n7450 'ely' 3\n7451 'ema' 3\n7452 'emb' 3\n7453 'eme' 3\n7454 'emi' 3\n7455 'emn' 3\n7456 'emo' 3\n7457 'emp' 3\n7458 'ems' 3\n7459 'emu' 3\n7460 'emy' 3\n7461 'ena' 3\n7462 'enc' 3\n7463 'end' 3\n7464 'ene' 3\n7465 'enf' 3\n7466 'eng' 3\n7467 'enh' 3\n7468 'eni' 3\n7469 'enk' 3\n7470 'enn' 3\n7471 'eno' 3\n7472 'ens' 3\n7473 'ent' 3\n7474 'enu' 3\n7475 'env' 3\n7476 'eny' 3\n7477 'enz' 3\n7478 'eof' 3\n7479 'eon' 3\n7480 'eor' 3\n7481 'eph' 3\n7482 'epi' 3\n7483 'eps' 3\n7484 'ept' 3\n7485 'eqn' 3\n7486 'equ' 3\n7487 'era' 3\n7488 'erb' 3\n7489 'erc' 3\n7490 'erd' 3\n7491 'ere' 3\n7492 'erg' 3\n7493 'eri' 3\n7494 'erk' 3\n7495 'erm' 3\n7496 'ern' 3\n7497 'ero' 3\n7498 'erp' 3\n7499 'err' 3\n7500 'ers' 3\n7501 'ert' 3\n7502 'erv' 3\n7503 'ery' 3\n7504 'esa' 3\n7505 'esc' 3\n7506 'ese' 3\n7507 'esh' 3\n7508 'esi' 3\n7509 'esk' 3\n7510 'eso' 3\n7511 'esp' 3\n7512 'ess' 3\n7513 'est' 3\n7514 'esy' 3\n7515 'eta' 3\n7516 'etc' 3\n7517 'ete' 3\n7518 'eth' 3\n7519 'eti' 3\n7520 'eto' 3\n7521 'etr' 3\n7522 'ets' 3\n7523 'ett' 3\n7524 'etu' 3\n7525 'ety' 3\n7526 'etz' 3\n7527 'eur' 3\n7528 'eus' 3\n7529 'eva' 3\n7530 'eve' 3\n7531 'evt' 3\n7532 'ews' 3\n7533 'exc' 3\n7534 'exe' 3\n7535 'exp' 3\n7536 'ext' 3\n7537 'eye' 3\n7538 'fab' 3\n7539 'fac' 3\n7540 'fal' 3\n7541 'fan' 3\n7542 'far' 3\n7543 'fas' 3\n7544 'fat' 3\n7545 'fav' 3\n7546 'fax' 3\n7547 'feb' 3\n7548 'fed' 3\n7549 'fee' 3\n7550 'fel' 3\n7551 'fem' 3\n7552 'fen' 3\n7553 'fer' 3\n7554 'fet' 3\n7555 'few' 3\n7556 'ffe' 3\n7557 'fff' 3\n7558 'ffi' 3\n7559 'fft' 3\n7560 'fib' 3\n7561 'fic' 3\n7562 'fid' 3\n7563 'fif' 3\n7564 'fig' 3\n7565 'fil' 3\n7566 'fin' 3\n7567 'fir' 3\n7568 'fit' 3\n7569 'fix' 3\n7570 'fld' 3\n7571 'fle' 3\n7572 'flo' 3\n7573 'flu' 3\n7574 'fly' 3\n7575 'fmt' 3\n7576 'fol' 3\n7577 'fon' 3\n7578 'foo' 3\n7579 'for' 3\n7580 'fos' 3\n7581 'fox' 3\n7582 'fra' 3\n7583 'fre' 3\n7584 'fri' 3\n7585 'frm' 3\n7586 'fro' 3\n7587 'fst' 3\n7588 'fte' 3\n7589 'ftp' 3\n7590 'fts' 3\n7591 'fty' 3\n7592 'ful' 3\n7593 'fun' 3\n7594 'fur' 3\n7595 'fut' 3\n7596 'fé' 3\n7597 'fø' 3\n7598 'fü' 3\n7599 'gae' 3\n7600 'gal' 3\n7601 'gam' 3\n7602 'gan' 3\n7603 'gap' 3\n7604 'gar' 3\n7605 'gas' 3\n7606 'gat' 3\n7607 'gay' 3\n7608 'gca' 3\n7609 'gcc' 3\n7610 'gcd' 3\n7611 'geb' 3\n7612 'ged' 3\n7613 'geh' 3\n7614 'gel' 3\n7615 'gem' 3\n7616 'gen' 3\n7617 'geo' 3\n7618 'geq' 3\n7619 'ger' 3\n7620 'ges' 3\n7621 'get' 3\n7622 'gew' 3\n7623 'gex' 3\n7624 'ght' 3\n7625 'gia' 3\n7626 'gid' 3\n7627 'gie' 3\n7628 'gif' 3\n7629 'gil' 3\n7630 'gin' 3\n7631 'gio' 3\n7632 'gis' 3\n7633 'git' 3\n7634 'gle' 3\n7635 'gly' 3\n7636 'gmt' 3\n7637 'gnu' 3\n7638 'god' 3\n7639 'gol' 3\n7640 'gom' 3\n7641 'gon' 3\n7642 'gor' 3\n7643 'gos' 3\n7644 'got' 3\n7645 'gov' 3\n7646 'gow' 3\n7647 'gpu' 3\n7648 'gra' 3\n7649 'gre' 3\n7650 'gro' 3\n7651 'grp' 3\n7652 'gru' 3\n7653 'gte' 3\n7654 'gtk' 3\n7655 'gua' 3\n7656 'gue' 3\n7657 'gui' 3\n7658 'gun' 3\n7659 'gut' 3\n7660 'hab' 3\n7661 'had' 3\n7662 'hai' 3\n7663 'hal' 3\n7664 'ham' 3\n7665 'han' 3\n7666 'hao' 3\n7667 'hap' 3\n7668 'har' 3\n7669 'has' 3\n7670 'hat' 3\n7671 'hav' 3\n7672 'haw' 3\n7673 'hay' 3\n7674 'haz' 3\n7675 'hdr' 3\n7676 'hea' 3\n7677 'hed' 3\n7678 'hee' 3\n7679 'hei' 3\n7680 'hel' 3\n7681 'hem' 3\n7682 'hen' 3\n7683 'hep' 3\n7684 'her' 3\n7685 'hes' 3\n7686 'het' 3\n7687 'hev' 3\n7688 'hew' 3\n7689 'hex' 3\n7690 'hey' 3\n7691 'hib' 3\n7692 'hic' 3\n7693 'hid' 3\n7694 'hig' 3\n7695 'hil' 3\n7696 'him' 3\n7697 'hin' 3\n7698 'hip' 3\n7699 'hir' 3\n7700 'his' 3\n7701 'hit' 3\n7702 'hma' 3\n7703 'hoc' 3\n7704 'hod' 3\n7705 'hoe' 3\n7706 'hof' 3\n7707 'hog' 3\n7708 'hol' 3\n7709 'hom' 3\n7710 'hon' 3\n7711 'hop' 3\n7712 'hor' 3\n7713 'hos' 3\n7714 'hot' 3\n7715 'hou' 3\n7716 'hov' 3\n7717 'how' 3\n7718 'hpp' 3\n7719 'hra' 3\n7720 'hta' 3\n7721 'hti' 3\n7722 'htm' 3\n7723 'htt' 3\n7724 'hua' 3\n7725 'hub' 3\n7726 'hue' 3\n7727 'hui' 3\n7728 'hum' 3\n7729 'hur' 3\n7730 'hus' 3\n7731 'hyd' 3\n7732 'hyp' 3\n7733 'há' 3\n7734 'hã' 3\n7735 'hä' 3\n7736 'hé' 3\n7737 'hö' 3\n7738 'iOS' 3\n7739 'iac' 3\n7740 'iae' 3\n7741 'iah' 3\n7742 'iak' 3\n7743 'ial' 3\n7744 'iam' 3\n7745 'ian' 3\n7746 'iao' 3\n7747 'iar' 3\n7748 'ias' 3\n7749 'iat' 3\n7750 'iaz' 3\n7751 'iba' 3\n7752 'ibe' 3\n7753 'ibi' 3\n7754 'ibo' 3\n7755 'ibr' 3\n7756 'ibu' 3\n7757 'ica' 3\n7758 'icc' 3\n7759 'ice' 3\n7760 'ich' 3\n7761 'ici' 3\n7762 'ick' 3\n7763 'icl' 3\n7764 'ico' 3\n7765 'ics' 3\n7766 'ict' 3\n7767 'icy' 3\n7768 'icz' 3\n7769 'ida' 3\n7770 'idd' 3\n7771 'ide' 3\n7772 'idi' 3\n7773 'idl' 3\n7774 'ido' 3\n7775 'ids' 3\n7776 'idx' 3\n7777 'idy' 3\n7778 'iec' 3\n7779 'ied' 3\n7780 'ief' 3\n7781 'ieg' 3\n7782 'iei' 3\n7783 'iej' 3\n7784 'iek' 3\n7785 'iel' 3\n7786 'iem' 3\n7787 'ien' 3\n7788 'ier' 3\n7789 'ies' 3\n7790 'iet' 3\n7791 'ieu' 3\n7792 'iev' 3\n7793 'iew' 3\n7794 'iez' 3\n7795 'ifa' 3\n7796 'ife' 3\n7797 'iff' 3\n7798 'ifi' 3\n7799 'ifs' 3\n7800 'ift' 3\n7801 'ify' 3\n7802 'iga' 3\n7803 'ige' 3\n7804 'igg' 3\n7805 'igh' 3\n7806 'igi' 3\n7807 'igl' 3\n7808 'igm' 3\n7809 'ign' 3\n7810 'igo' 3\n7811 'igr' 3\n7812 'igs' 3\n7813 'igt' 3\n7814 'igu' 3\n7815 'iii' 3\n7816 'ija' 3\n7817 'ije' 3\n7818 'iji' 3\n7819 'ijk' 3\n7820 'ijn' 3\n7821 'ijo' 3\n7822 'iju' 3\n7823 'ika' 3\n7824 'ike' 3\n7825 'ikh' 3\n7826 'iki' 3\n7827 'ikk' 3\n7828 'iko' 3\n7829 'iks' 3\n7830 'ikt' 3\n7831 'iku' 3\n7832 'ila' 3\n7833 'ild' 3\n7834 'ile' 3\n7835 'ili' 3\n7836 'ilk' 3\n7837 'ill' 3\n7838 'ilo' 3\n7839 'ils' 3\n7840 'ilt' 3\n7841 'ily' 3\n7842 'ima' 3\n7843 'imb' 3\n7844 'ime' 3\n7845 'img' 3\n7846 'imi' 3\n7847 'imm' 3\n7848 'imo' 3\n7849 'imp' 3\n7850 'ims' 3\n7851 'ina' 3\n7852 'inc' 3\n7853 'ind' 3\n7854 'ine' 3\n7855 'inf' 3\n7856 'ing' 3\n7857 'inh' 3\n7858 'ini' 3\n7859 'inj' 3\n7860 'ink' 3\n7861 'inn' 3\n7862 'ino' 3\n7863 'inp' 3\n7864 'ins' 3\n7865 'int' 3\n7866 'inu' 3\n7867 'inv' 3\n7868 'inx' 3\n7869 'iny' 3\n7870 'inz' 3\n7871 'iod' 3\n7872 'iol' 3\n7873 'iom' 3\n7874 'ion' 3\n7875 'iop' 3\n7876 'ior' 3\n7877 'ios' 3\n7878 'iot' 3\n7879 'iou' 3\n7880 'iov' 3\n7881 'iox' 3\n7882 'ipa' 3\n7883 'ipe' 3\n7884 'iph' 3\n7885 'ipl' 3\n7886 'ipo' 3\n7887 'ipp' 3\n7888 'ips' 3\n7889 'ipt' 3\n7890 'ipv' 3\n7891 'ipy' 3\n7892 'iqu' 3\n7893 'ira' 3\n7894 'irc' 3\n7895 'ird' 3\n7896 'ire' 3\n7897 'iri' 3\n7898 'irk' 3\n7899 'irl' 3\n7900 'irm' 3\n7901 'iro' 3\n7902 'irq' 3\n7903 'irs' 3\n7904 'irt' 3\n7905 'iry' 3\n7906 'isa' 3\n7907 'isc' 3\n7908 'isd' 3\n7909 'ise' 3\n7910 'isf' 3\n7911 'ish' 3\n7912 'isi' 3\n7913 'isk' 3\n7914 'isl' 3\n7915 'ism' 3\n7916 'iso' 3\n7917 'isp' 3\n7918 'iss' 3\n7919 'ist' 3\n7920 'isu' 3\n7921 'isy' 3\n7922 'isz' 3\n7923 'ita' 3\n7924 'ite' 3\n7925 'ith' 3\n7926 'iti' 3\n7927 'itm' 3\n7928 'ito' 3\n7929 'itr' 3\n7930 'its' 3\n7931 'itt' 3\n7932 'itu' 3\n7933 'ity' 3\n7934 'itz' 3\n7935 'ium' 3\n7936 'ius' 3\n7937 'iva' 3\n7938 'ive' 3\n7939 'ivi' 3\n7940 'ivo' 3\n7941 'ivy' 3\n7942 'ixa' 3\n7943 'ixo' 3\n7944 'iya' 3\n7945 'iza' 3\n7946 'ize' 3\n7947 'izi' 3\n7948 'izo' 3\n7949 'izu' 3\n7950 'izz' 3\n7951 'iß' 3\n7952 'ié' 3\n7953 'ië' 3\n7954 'ió' 3\n7955 'ią' 3\n7956 'ić' 3\n7957 'ič' 3\n7958 'ię' 3\n7959 'ił' 3\n7960 'iş' 3\n7961 'iš' 3\n7962 'jab' 3\n7963 'jac' 3\n7964 'jad' 3\n7965 'jah' 3\n7966 'jak' 3\n7967 'jal' 3\n7968 'jam' 3\n7969 'jan' 3\n7970 'jar' 3\n7971 'jas' 3\n7972 'jav' 3\n7973 'jax' 3\n7974 'jay' 3\n7975 'jdk' 3\n7976 'jee' 3\n7977 'jel' 3\n7978 'jem' 3\n7979 'jen' 3\n7980 'jer' 3\n7981 'jes' 3\n7982 'jet' 3\n7983 'jid' 3\n7984 'jin' 3\n7985 'jis' 3\n7986 'jit' 3\n7987 'job' 3\n7988 'jon' 3\n7989 'jor' 3\n7990 'jos' 3\n7991 'jou' 3\n7992 'joy' 3\n7993 'jpg' 3\n7994 'jsp' 3\n7995 'jud' 3\n7996 'jug' 3\n7997 'jul' 3\n7998 'jun' 3\n7999 'jur' 3\n8000 'jà' 3\n8001 'jä' 3\n8002 'jö' 3\n8003 'jø' 3\n8004 'ją' 3\n8005 'ję' 3\n8006 'kal' 3\n8007 'kan' 3\n8008 'kap' 3\n8009 'kar' 3\n8010 'kas' 3\n8011 'kat' 3\n8012 'ked' 3\n8013 'kee' 3\n8014 'keh' 3\n8015 'kel' 3\n8016 'ken' 3\n8017 'ker' 3\n8018 'kes' 3\n8019 'ket' 3\n8020 'key' 3\n8021 'kid' 3\n8022 'kie' 3\n8023 'kil' 3\n8024 'kim' 3\n8025 'kin' 3\n8026 'kip' 3\n8027 'kir' 3\n8028 'kit' 3\n8029 'kle' 3\n8030 'kok' 3\n8031 'kol' 3\n8032 'kom' 3\n8033 'kon' 3\n8034 'kop' 3\n8035 'kor' 3\n8036 'kos' 3\n8037 'kov' 3\n8038 'kow' 3\n8039 'ksi' 3\n8040 'kte' 3\n8041 'kun' 3\n8042 'kur' 3\n8043 'kus' 3\n8044 'ká' 3\n8045 'kä' 3\n8046 'ké' 3\n8047 'kö' 3\n8048 'ką' 3\n8049 'kę' 3\n8050 'lab' 3\n8051 'lac' 3\n8052 'lad' 3\n8053 'lag' 3\n8054 'lah' 3\n8055 'lam' 3\n8056 'lan' 3\n8057 'lap' 3\n8058 'lar' 3\n8059 'las' 3\n8060 'lat' 3\n8061 'lav' 3\n8062 'law' 3\n8063 'lay' 3\n8064 'lbl' 3\n8065 'lea' 3\n8066 'lec' 3\n8067 'led' 3\n8068 'lee' 3\n8069 'lef' 3\n8070 'leg' 3\n8071 'lei' 3\n8072 'lek' 3\n8073 'lem' 3\n8074 'len' 3\n8075 'lep' 3\n8076 'leq' 3\n8077 'ler' 3\n8078 'les' 3\n8079 'let' 3\n8080 'lev' 3\n8081 'lew' 3\n8082 'lex' 3\n8083 'ley' 3\n8084 'lez' 3\n8085 'lia' 3\n8086 'lib' 3\n8087 'lic' 3\n8088 'lid' 3\n8089 'lie' 3\n8090 'lif' 3\n8091 'lig' 3\n8092 'lij' 3\n8093 'lik' 3\n8094 'lim' 3\n8095 'lin' 3\n8096 'lio' 3\n8097 'lip' 3\n8098 'lis' 3\n8099 'lit' 3\n8100 'liv' 3\n8101 'lla' 3\n8102 'lle' 3\n8103 'lli' 3\n8104 'llo' 3\n8105 'lng' 3\n8106 'lob' 3\n8107 'loc' 3\n8108 'lod' 3\n8109 'loe' 3\n8110 'log' 3\n8111 'lon' 3\n8112 'loo' 3\n8113 'lop' 3\n8114 'lor' 3\n8115 'los' 3\n8116 'lot' 3\n8117 'lou' 3\n8118 'lov' 3\n8119 'low' 3\n8120 'loy' 3\n8121 'lst' 3\n8122 'lua' 3\n8123 'luc' 3\n8124 'lum' 3\n8125 'lun' 3\n8126 'lus' 3\n8127 'lut' 3\n8128 'lux' 3\n8129 'lvl' 3\n8130 'lyn' 3\n8131 'lys' 3\n8132 'là' 3\n8133 'lá' 3\n8134 'lä' 3\n8135 'lé' 3\n8136 'ló' 3\n8137 'lö' 3\n8138 'lą' 3\n8139 'lı' 3\n8140 'mAh' 3\n8141 'mac' 3\n8142 'mad' 3\n8143 'mag' 3\n8144 'mai' 3\n8145 'maj' 3\n8146 'mak' 3\n8147 'mal' 3\n8148 'man' 3\n8149 'map' 3\n8150 'mar' 3\n8151 'mas' 3\n8152 'mat' 3\n8153 'max' 3\n8154 'may' 3\n8155 'maz' 3\n8156 'mbH' 3\n8157 'med' 3\n8158 'meg' 3\n8159 'mek' 3\n8160 'mel' 3\n8161 'mem' 3\n8162 'men' 3\n8163 'mer' 3\n8164 'mes' 3\n8165 'met' 3\n8166 'mez' 3\n8167 'mgr' 3\n8168 'mia' 3\n8169 'mic' 3\n8170 'mid' 3\n8171 'mie' 3\n8172 'mil' 3\n8173 'mim' 3\n8174 'min' 3\n8175 'mir' 3\n8176 'mis' 3\n8177 'mit' 3\n8178 'mix' 3\n8179 'mma' 3\n8180 'mmm' 3\n8181 'mob' 3\n8182 'mod' 3\n8183 'mol' 3\n8184 'mom' 3\n8185 'mon' 3\n8186 'mor' 3\n8187 'mos' 3\n8188 'mot' 3\n8189 'mov' 3\n8190 'moz' 3\n8191 'mph' 3\n8192 'mpi' 3\n8193 'mpl' 3\n8194 'mse' 3\n8195 'msg' 3\n8196 'mud' 3\n8197 'mul' 3\n8198 'mun' 3\n8199 'mur' 3\n8200 'mus' 3\n8201 'mut' 3\n8202 'mux' 3\n8203 'mys' 3\n8204 'mé' 3\n8205 'nad' 3\n8206 'nah' 3\n8207 'nai' 3\n8208 'nak' 3\n8209 'nal' 3\n8210 'nam' 3\n8211 'nan' 3\n8212 'nap' 3\n8213 'nar' 3\n8214 'nas' 3\n8215 'nat' 3\n8216 'nav' 3\n8217 'nbr' 3\n8218 'nce' 3\n8219 'nda' 3\n8220 'nds' 3\n8221 'nea' 3\n8222 'ned' 3\n8223 'nee' 3\n8224 'neg' 3\n8225 'neh' 3\n8226 'nej' 3\n8227 'nek' 3\n8228 'nel' 3\n8229 'nem' 3\n8230 'nen' 3\n8231 'neo' 3\n8232 'neq' 3\n8233 'ner' 3\n8234 'nes' 3\n8235 'net' 3\n8236 'neu' 3\n8237 'new' 3\n8238 'nex' 3\n8239 'ney' 3\n8240 'nez' 3\n8241 'nia' 3\n8242 'nic' 3\n8243 'nie' 3\n8244 'nih' 3\n8245 'nik' 3\n8246 'nil' 3\n8247 'nim' 3\n8248 'nin' 3\n8249 'nio' 3\n8250 'nis' 3\n8251 'nit' 3\n8252 'nob' 3\n8253 'noc' 3\n8254 'nod' 3\n8255 'nom' 3\n8256 'non' 3\n8257 'nop' 3\n8258 'nor' 3\n8259 'nos' 3\n8260 'not' 3\n8261 'nou' 3\n8262 'nov' 3\n8263 'now' 3\n8264 'nox' 3\n8265 'npc' 3\n8266 'npm' 3\n8267 'npy' 3\n8268 'nth' 3\n8269 'num' 3\n8270 'nut' 3\n8271 'nya' 3\n8272 'ná' 3\n8273 'né' 3\n8274 'ní' 3\n8275 'ný' 3\n8276 'ną' 3\n8277 'nę' 3\n8278 'ně' 3\n8279 'oad' 3\n8280 'oba' 3\n8281 'obb' 3\n8282 'obe' 3\n8283 'obi' 3\n8284 'obj' 3\n8285 'obl' 3\n8286 'obo' 3\n8287 'obs' 3\n8288 'oby' 3\n8289 'oca' 3\n8290 'occ' 3\n8291 'oce' 3\n8292 'och' 3\n8293 'oci' 3\n8294 'ock' 3\n8295 'ocl' 3\n8296 'oco' 3\n8297 'ocr' 3\n8298 'ocs' 3\n8299 'oct' 3\n8300 'ocy' 3\n8301 'oda' 3\n8302 'odb' 3\n8303 'odd' 3\n8304 'ode' 3\n8305 'odi' 3\n8306 'odo' 3\n8307 'ods' 3\n8308 'ody' 3\n8309 'oen' 3\n8310 'oes' 3\n8311 'off' 3\n8312 'ofs' 3\n8313 'oft' 3\n8314 'oga' 3\n8315 'oge' 3\n8316 'ogg' 3\n8317 'ogh' 3\n8318 'ogi' 3\n8319 'ogl' 3\n8320 'ogn' 3\n8321 'ogo' 3\n8322 'ogr' 3\n8323 'ogs' 3\n8324 'ogy' 3\n8325 'ohl' 3\n8326 'ohn' 3\n8327 'oho' 3\n8328 'oid' 3\n8329 'oil' 3\n8330 'oin' 3\n8331 'oir' 3\n8332 'ois' 3\n8333 'oit' 3\n8334 'oka' 3\n8335 'oke' 3\n8336 'oki' 3\n8337 'oko' 3\n8338 'oks' 3\n8339 'oku' 3\n8340 'oky' 3\n8341 'ola' 3\n8342 'old' 3\n8343 'ole' 3\n8344 'olf' 3\n8345 'oli' 3\n8346 'olk' 3\n8347 'oll' 3\n8348 'oln' 3\n8349 'olo' 3\n8350 'ols' 3\n8351 'olt' 3\n8352 'olu' 3\n8353 'oly' 3\n8354 'oma' 3\n8355 'omb' 3\n8356 'ome' 3\n8357 'omi' 3\n8358 'omm' 3\n8359 'omo' 3\n8360 'omp' 3\n8361 'oms' 3\n8362 'omy' 3\n8363 'ona' 3\n8364 'onc' 3\n8365 'ond' 3\n8366 'one' 3\n8367 'ong' 3\n8368 'oni' 3\n8369 'onn' 3\n8370 'ono' 3\n8371 'ons' 3\n8372 'ont' 3\n8373 'ony' 3\n8374 'onz' 3\n8375 'ood' 3\n8376 'ook' 3\n8377 'ool' 3\n8378 'oom' 3\n8379 'oon' 3\n8380 'ooo' 3\n8381 'oop' 3\n8382 'oor' 3\n8383 'oot' 3\n8384 'opa' 3\n8385 'ope' 3\n8386 'opf' 3\n8387 'oph' 3\n8388 'opi' 3\n8389 'opl' 3\n8390 'opo' 3\n8391 'opp' 3\n8392 'ops' 3\n8393 'opt' 3\n8394 'opy' 3\n8395 'ora' 3\n8396 'orb' 3\n8397 'orc' 3\n8398 'ord' 3\n8399 'ore' 3\n8400 'orf' 3\n8401 'org' 3\n8402 'ori' 3\n8403 'ork' 3\n8404 'orm' 3\n8405 'orn' 3\n8406 'oro' 3\n8407 'orp' 3\n8408 'orr' 3\n8409 'ors' 3\n8410 'ort' 3\n8411 'oru' 3\n8412 'ory' 3\n8413 'osa' 3\n8414 'osc' 3\n8415 'ose' 3\n8416 'osh' 3\n8417 'osi' 3\n8418 'oso' 3\n8419 'osp' 3\n8420 'oss' 3\n8421 'ost' 3\n8422 'ota' 3\n8423 'ote' 3\n8424 'oth' 3\n8425 'oti' 3\n8426 'oto' 3\n8427 'ots' 3\n8428 'ott' 3\n8429 'oty' 3\n8430 'oub' 3\n8431 'oud' 3\n8432 'oug' 3\n8433 'oui' 3\n8434 'ouk' 3\n8435 'oul' 3\n8436 'oun' 3\n8437 'oup' 3\n8438 'our' 3\n8439 'ous' 3\n8440 'out' 3\n8441 'ouv' 3\n8442 'oux' 3\n8443 'ova' 3\n8444 'ove' 3\n8445 'ovi' 3\n8446 'ovo' 3\n8447 'ovy' 3\n8448 'owa' 3\n8449 'owe' 3\n8450 'owi' 3\n8451 'owl' 3\n8452 'own' 3\n8453 'owo' 3\n8454 'ows' 3\n8455 'owy' 3\n8456 'oxy' 3\n8457 'oya' 3\n8458 'oyo' 3\n8459 'ozo' 3\n8460 'ozy' 3\n8461 'oł' 3\n8462 'pac' 3\n8463 'pad' 3\n8464 'pag' 3\n8465 'pak' 3\n8466 'pal' 3\n8467 'pan' 3\n8468 'pap' 3\n8469 'par' 3\n8470 'pas' 3\n8471 'pat' 3\n8472 'pay' 3\n8473 'pci' 3\n8474 'pdb' 3\n8475 'pdf' 3\n8476 'pec' 3\n8477 'ped' 3\n8478 'pee' 3\n8479 'peg' 3\n8480 'pei' 3\n8481 'pel' 3\n8482 'pem' 3\n8483 'pen' 3\n8484 'per' 3\n8485 'pes' 3\n8486 'pet' 3\n8487 'pex' 3\n8488 'pez' 3\n8489 'pha' 3\n8490 'phe' 3\n8491 'phi' 3\n8492 'php' 3\n8493 'phy' 3\n8494 'pic' 3\n8495 'pid' 3\n8496 'pie' 3\n8497 'pig' 3\n8498 'pin' 3\n8499 'pio' 3\n8500 'pip' 3\n8501 'pir' 3\n8502 'pis' 3\n8503 'pit' 3\n8504 'pix' 3\n8505 'pkg' 3\n8506 'pkl' 3\n8507 'pla' 3\n8508 'ple' 3\n8509 'plt' 3\n8510 'ply' 3\n8511 'png' 3\n8512 'pod' 3\n8513 'pol' 3\n8514 'pom' 3\n8515 'pon' 3\n8516 'pop' 3\n8517 'por' 3\n8518 'pos' 3\n8519 'pot' 3\n8520 'pow' 3\n8521 'ppa' 3\n8522 'ppe' 3\n8523 'ppo' 3\n8524 'pps' 3\n8525 'ppy' 3\n8526 'pra' 3\n8527 'pre' 3\n8528 'pri' 3\n8529 'pro' 3\n8530 'psi' 3\n8531 'psy' 3\n8532 'pta' 3\n8533 'pte' 3\n8534 'pth' 3\n8535 'pto' 3\n8536 'ptr' 3\n8537 'pts' 3\n8538 'pty' 3\n8539 'pub' 3\n8540 'pul' 3\n8541 'pun' 3\n8542 'pur' 3\n8543 'pus' 3\n8544 'put' 3\n8545 'pwd' 3\n8546 'qrt' 3\n8547 'qty' 3\n8548 'qua' 3\n8549 'que' 3\n8550 'qui' 3\n8551 'quo' 3\n8552 'rab' 3\n8553 'rac' 3\n8554 'rad' 3\n8555 'rae' 3\n8556 'raf' 3\n8557 'rag' 3\n8558 'rah' 3\n8559 'rai' 3\n8560 'raj' 3\n8561 'rak' 3\n8562 'ral' 3\n8563 'ram' 3\n8564 'ran' 3\n8565 'rap' 3\n8566 'raq' 3\n8567 'rar' 3\n8568 'ras' 3\n8569 'rat' 3\n8570 'rav' 3\n8571 'raw' 3\n8572 'rax' 3\n8573 'ray' 3\n8574 'raz' 3\n8575 'rdf' 3\n8576 'rea' 3\n8577 'reb' 3\n8578 'rec' 3\n8579 'red' 3\n8580 'ree' 3\n8581 'ref' 3\n8582 'reg' 3\n8583 'reh' 3\n8584 'rei' 3\n8585 'rek' 3\n8586 'rel' 3\n8587 'rem' 3\n8588 'ren' 3\n8589 'reo' 3\n8590 'rep' 3\n8591 'req' 3\n8592 'rer' 3\n8593 'res' 3\n8594 'ret' 3\n8595 'reu' 3\n8596 'rev' 3\n8597 'rew' 3\n8598 'rex' 3\n8599 'rey' 3\n8600 'rez' 3\n8601 'rgb' 3\n8602 'rho' 3\n8603 'rhs' 3\n8604 'ria' 3\n8605 'rib' 3\n8606 'ric' 3\n8607 'rid' 3\n8608 'rie' 3\n8609 'rif' 3\n8610 'rig' 3\n8611 'rij' 3\n8612 'rik' 3\n8613 'ril' 3\n8614 'rim' 3\n8615 'rin' 3\n8616 'rio' 3\n8617 'rip' 3\n8618 'rir' 3\n8619 'ris' 3\n8620 'rit' 3\n8621 'riv' 3\n8622 'rix' 3\n8623 'riz' 3\n8624 'rms' 3\n8625 'rna' 3\n8626 'rnd' 3\n8627 'rng' 3\n8628 'rnn' 3\n8629 'rob' 3\n8630 'roc' 3\n8631 'rod' 3\n8632 'roe' 3\n8633 'rog' 3\n8634 'roi' 3\n8635 'rok' 3\n8636 'rol' 3\n8637 'rom' 3\n8638 'ron' 3\n8639 'rop' 3\n8640 'ror' 3\n8641 'ros' 3\n8642 'rot' 3\n8643 'rou' 3\n8644 'rov' 3\n8645 'row' 3\n8646 'rox' 3\n8647 'roy' 3\n8648 'roz' 3\n8649 'rpc' 3\n8650 'rpm' 3\n8651 'rsa' 3\n8652 'rsp' 3\n8653 'rss' 3\n8654 'rst' 3\n8655 'rtl' 3\n8656 'rub' 3\n8657 'rud' 3\n8658 'rue' 3\n8659 'rug' 3\n8660 'rum' 3\n8661 'run' 3\n8662 'rup' 3\n8663 'rus' 3\n8664 'rut' 3\n8665 'ryn' 3\n8666 'rys' 3\n8667 'rà' 3\n8668 'rá' 3\n8669 'rä' 3\n8670 'rå' 3\n8671 'ré' 3\n8672 'rí' 3\n8673 'ró' 3\n8674 'rę' 3\n8675 'sac' 3\n8676 'sad' 3\n8677 'saf' 3\n8678 'sal' 3\n8679 'sam' 3\n8680 'san' 3\n8681 'sar' 3\n8682 'sas' 3\n8683 'sat' 3\n8684 'sav' 3\n8685 'saw' 3\n8686 'say' 3\n8687 'sce' 3\n8688 'sch' 3\n8689 'sci' 3\n8690 'scr' 3\n8691 'sdk' 3\n8692 'sea' 3\n8693 'sec' 3\n8694 'sed' 3\n8695 'see' 3\n8696 'seg' 3\n8697 'sei' 3\n8698 'sek' 3\n8699 'sel' 3\n8700 'sem' 3\n8701 'sen' 3\n8702 'sep' 3\n8703 'seq' 3\n8704 'ser' 3\n8705 'ses' 3\n8706 'set' 3\n8707 'sex' 3\n8708 'sey' 3\n8709 'sez' 3\n8710 'sha' 3\n8711 'she' 3\n8712 'shi' 3\n8713 'shr' 3\n8714 'sic' 3\n8715 'sid' 3\n8716 'sie' 3\n8717 'sig' 3\n8718 'sil' 3\n8719 'sim' 3\n8720 'sin' 3\n8721 'sis' 3\n8722 'sit' 3\n8723 'six' 3\n8724 'ska' 3\n8725 'ske' 3\n8726 'ski' 3\n8727 'sku' 3\n8728 'sky' 3\n8729 'snd' 3\n8730 'soc' 3\n8731 'sof' 3\n8732 'sol' 3\n8733 'som' 3\n8734 'son' 3\n8735 'sor' 3\n8736 'sov' 3\n8737 'spe' 3\n8738 'spi' 3\n8739 'spl' 3\n8740 'spo' 3\n8741 'spr' 3\n8742 'spy' 3\n8743 'sql' 3\n8744 'squ' 3\n8745 'src' 3\n8746 'ssa' 3\n8747 'ssh' 3\n8748 'ssl' 3\n8749 'sta' 3\n8750 'std' 3\n8751 'ste' 3\n8752 'sth' 3\n8753 'sti' 3\n8754 'stm' 3\n8755 'sto' 3\n8756 'str' 3\n8757 'sts' 3\n8758 'stu' 3\n8759 'sty' 3\n8760 'sub' 3\n8761 'suc' 3\n8762 'sum' 3\n8763 'sun' 3\n8764 'sup' 3\n8765 'sur' 3\n8766 'sus' 3\n8767 'svg' 3\n8768 'svn' 3\n8769 'swe' 3\n8770 'sym' 3\n8771 'syn' 3\n8772 'sys' 3\n8773 'tab' 3\n8774 'tag' 3\n8775 'tah' 3\n8776 'tal' 3\n8777 'tam' 3\n8778 'tan' 3\n8779 'tap' 3\n8780 'tar' 3\n8781 'tas' 3\n8782 'tat' 3\n8783 'tau' 3\n8784 'tax' 3\n8785 'tbl' 3\n8786 'tcp' 3\n8787 'tea' 3\n8788 'tec' 3\n8789 'ted' 3\n8790 'tee' 3\n8791 'tek' 3\n8792 'tel' 3\n8793 'tem' 3\n8794 'ten' 3\n8795 'ter' 3\n8796 'tes' 3\n8797 'tet' 3\n8798 'tex' 3\n8799 'tgt' 3\n8800 'tha' 3\n8801 'the' 3\n8802 'thi' 3\n8803 'thm' 3\n8804 'thr' 3\n8805 'ths' 3\n8806 'thy' 3\n8807 'tic' 3\n8808 'tid' 3\n8809 'tie' 3\n8810 'tif' 3\n8811 'tig' 3\n8812 'tik' 3\n8813 'til' 3\n8814 'tim' 3\n8815 'tin' 3\n8816 'tip' 3\n8817 'tis' 3\n8818 'tit' 3\n8819 'tle' 3\n8820 'tls' 3\n8821 'tml' 3\n8822 'tmp' 3\n8823 'toc' 3\n8824 'tod' 3\n8825 'tok' 3\n8826 'tol' 3\n8827 'tom' 3\n8828 'ton' 3\n8829 'too' 3\n8830 'top' 3\n8831 'tor' 3\n8832 'tos' 3\n8833 'tot' 3\n8834 'tow' 3\n8835 'tpl' 3\n8836 'tra' 3\n8837 'tre' 3\n8838 'tri' 3\n8839 'trl' 3\n8840 'tro' 3\n8841 'tru' 3\n8842 'try' 3\n8843 'tte' 3\n8844 'tti' 3\n8845 'ttl' 3\n8846 'ttp' 3\n8847 'tty' 3\n8848 'tum' 3\n8849 'tun' 3\n8850 'tur' 3\n8851 'two' 3\n8852 'txt' 3\n8853 'typ' 3\n8854 'té' 3\n8855 'tó' 3\n8856 'ual' 3\n8857 'uan' 3\n8858 'uar' 3\n8859 'uba' 3\n8860 'ubb' 3\n8861 'ube' 3\n8862 'ubi' 3\n8863 'ubl' 3\n8864 'ubs' 3\n8865 'uby' 3\n8866 'uca' 3\n8867 'ucc' 3\n8868 'uce' 3\n8869 'uch' 3\n8870 'uci' 3\n8871 'uck' 3\n8872 'uct' 3\n8873 'uda' 3\n8874 'udd' 3\n8875 'ude' 3\n8876 'udi' 3\n8877 'udo' 3\n8878 'uds' 3\n8879 'ued' 3\n8880 'uel' 3\n8881 'uen' 3\n8882 'uer' 3\n8883 'ues' 3\n8884 'uet' 3\n8885 'uez' 3\n8886 'ufe' 3\n8887 'uff' 3\n8888 'uga' 3\n8889 'uge' 3\n8890 'ugg' 3\n8891 'ugh' 3\n8892 'ugi' 3\n8893 'ugo' 3\n8894 'ugs' 3\n8895 'ugu' 3\n8896 'uid' 3\n8897 'uil' 3\n8898 'uin' 3\n8899 'uir' 3\n8900 'uis' 3\n8901 'uit' 3\n8902 'uje' 3\n8903 'uka' 3\n8904 'uke' 3\n8905 'uki' 3\n8906 'uko' 3\n8907 'uks' 3\n8908 'uku' 3\n8909 'ula' 3\n8910 'uld' 3\n8911 'ule' 3\n8912 'ulf' 3\n8913 'uli' 3\n8914 'ulk' 3\n8915 'ull' 3\n8916 'ulo' 3\n8917 'ulp' 3\n8918 'uls' 3\n8919 'ult' 3\n8920 'ulu' 3\n8921 'uly' 3\n8922 'uma' 3\n8923 'umb' 3\n8924 'ume' 3\n8925 'umi' 3\n8926 'uml' 3\n8927 'umm' 3\n8928 'umn' 3\n8929 'umo' 3\n8930 'ump' 3\n8931 'ums' 3\n8932 'umu' 3\n8933 'una' 3\n8934 'unc' 3\n8935 'und' 3\n8936 'une' 3\n8937 'ung' 3\n8938 'uni' 3\n8939 'unj' 3\n8940 'unk' 3\n8941 'unn' 3\n8942 'uno' 3\n8943 'uns' 3\n8944 'unt' 3\n8945 'upa' 3\n8946 'upe' 3\n8947 'upo' 3\n8948 'upp' 3\n8949 'ups' 3\n8950 'upt' 3\n8951 'ura' 3\n8952 'urb' 3\n8953 'urd' 3\n8954 'ure' 3\n8955 'urf' 3\n8956 'urg' 3\n8957 'uri' 3\n8958 'urk' 3\n8959 'url' 3\n8960 'urm' 3\n8961 'urn' 3\n8962 'uro' 3\n8963 'urr' 3\n8964 'urs' 3\n8965 'urt' 3\n8966 'uru' 3\n8967 'ury' 3\n8968 'usa' 3\n8969 'usb' 3\n8970 'usc' 3\n8971 'use' 3\n8972 'ush' 3\n8973 'usi' 3\n8974 'usk' 3\n8975 'uso' 3\n8976 'usp' 3\n8977 'usr' 3\n8978 'uss' 3\n8979 'ust' 3\n8980 'usu' 3\n8981 'usz' 3\n8982 'uta' 3\n8983 'utc' 3\n8984 'ute' 3\n8985 'utf' 3\n8986 'uth' 3\n8987 'uti' 3\n8988 'utm' 3\n8989 'uto' 3\n8990 'uts' 3\n8991 'utt' 3\n8992 'uty' 3\n8993 'utz' 3\n8994 'uum' 3\n8995 'uve' 3\n8996 'uvo' 3\n8997 'uxe' 3\n8998 'uya' 3\n8999 'uzz' 3\n9000 'uß' 3\n9001 'ué' 3\n9002 'uí' 3\n9003 'už' 3\n9004 'vac' 3\n9005 'vae' 3\n9006 'val' 3\n9007 'van' 3\n9008 'var' 3\n9009 'vas' 3\n9010 'vat' 3\n9011 'vec' 3\n9012 'ved' 3\n9013 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3\n9085 'wor' 3\n9086 'www' 3\n9087 'wyn' 3\n9088 'xFF' 3\n9089 'xcb' 3\n9090 'xed' 3\n9091 'xes' 3\n9092 'xfe' 3\n9093 'xff' 3\n9094 'xhr' 3\n9095 'xia' 3\n9096 'xic' 3\n9097 'xim' 3\n9098 'xin' 3\n9099 'xis' 3\n9100 'xit' 3\n9101 'xiv' 3\n9102 'xls' 3\n9103 'xml' 3\n9104 'xon' 3\n9105 'xor' 3\n9106 'xsd' 3\n9107 'xsl' 3\n9108 'xxx' 3\n9109 'xyz' 3\n9110 'yah' 3\n9111 'yal' 3\n9112 'yam' 3\n9113 'yan' 3\n9114 'yar' 3\n9115 'yaw' 3\n9116 'ych' 3\n9117 'ycl' 3\n9118 'yel' 3\n9119 'yen' 3\n9120 'yer' 3\n9121 'yes' 3\n9122 'yet' 3\n9123 'yla' 3\n9124 'yle' 3\n9125 'yll' 3\n9126 'yme' 3\n9127 'yml' 3\n9128 'yna' 3\n9129 'ync' 3\n9130 'yne' 3\n9131 'ynn' 3\n9132 'ynt' 3\n9133 'yon' 3\n9134 'yor' 3\n9135 'you' 3\n9136 'ype' 3\n9137 'yre' 3\n9138 'ysi' 3\n9139 'yst' 3\n9140 'ysz' 3\n9141 'yth' 3\n9142 'yun' 3\n9143 'yyy' 3\n9144 'yó' 3\n9145 'zag' 3\n9146 'zak' 3\n9147 'zan' 3\n9148 'zar' 3\n9149 'zas' 3\n9150 'zed' 3\n9151 'zee' 3\n9152 'zej' 3\n9153 'zek' 3\n9154 'zel' 3\n9155 'zem' 3\n9156 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'ês' 3\n9304 'êt' 3\n9305 'êu' 3\n9306 'ël' 3\n9307 'ën' 3\n9308 'ër' 3\n9309 'ës' 3\n9310 'ët' 3\n9311 'ía' 3\n9312 'íc' 3\n9313 'íd' 3\n9314 'íf' 3\n9315 'íg' 3\n9316 'ík' 3\n9317 'íl' 3\n9318 'ím' 3\n9319 'ín' 3\n9320 'ío' 3\n9321 'íp' 3\n9322 'ír' 3\n9323 'ís' 3\n9324 'ít' 3\n9325 'ív' 3\n9326 'íz' 3\n9327 'în' 3\n9328 'ît' 3\n9329 'ña' 3\n9330 'ño' 3\n9331 'òn' 3\n9332 'óa' 3\n9333 'ób' 3\n9334 'ód' 3\n9335 'óg' 3\n9336 'ój' 3\n9337 'ók' 3\n9338 'ól' 3\n9339 'óm' 3\n9340 'ón' 3\n9341 'óp' 3\n9342 'ór' 3\n9343 'ós' 3\n9344 'ót' 3\n9345 'ów' 3\n9346 'ôi' 3\n9347 'ôm' 3\n9348 'ôn' 3\n9349 'ôt' 3\n9350 'öd' 3\n9351 'ög' 3\n9352 'öh' 3\n9353 'ök' 3\n9354 'öl' 3\n9355 'öm' 3\n9356 'ön' 3\n9357 'ör' 3\n9358 'ös' 3\n9359 'öt' 3\n9360 'öv' 3\n9361 'öz' 3\n9362 'ød' 3\n9363 'øj' 3\n9364 'ør' 3\n9365 'øy' 3\n9366 'úa' 3\n9367 'úb' 3\n9368 'úc' 3\n9369 'úl' 3\n9370 'ún' 3\n9371 'ús' 3\n9372 'út' 3\n9373 'ût' 3\n9374 'üb' 3\n9375 'üd' 3\n9376 'üg' 3\n9377 'üh' 3\n9378 'ük' 3\n9379 'ül' 3\n9380 'üm' 3\n9381 'ün' 3\n9382 'ür' 3\n9383 'üs' 3\n9384 'üt' 3\n9385 'üz' 3\n9386 'ým' 3\n9387 'ýt' 3\n9388 'ād' 3\n9389 'āk' 3\n9390 'ām' 3\n9391 'ān' 3\n9392 'ār' 3\n9393 'ās' 3\n9394 'āt' 3\n9395 'ăm' 3\n9396 'ăn' 3\n9397 'ăr' 3\n9398 'ăt' 3\n9399 'ąc' 3\n9400 'ąd' 3\n9401 'ąg' 3\n9402 'ąz' 3\n9403 'će' 3\n9404 'ći' 3\n9405 'če' 3\n9406 'či' 3\n9407 'ēr' 3\n9408 'ēt' 3\n9409 'ęd' 3\n9410 'ęk' 3\n9411 'ęp' 3\n9412 'ěl' 3\n9413 'ět' 3\n9414 'ği' 3\n9415 'īt' 3\n9416 'ık' 3\n9417 'ıl' 3\n9418 'ım' 3\n9419 'ın' 3\n9420 'ır' 3\n9421 'ıs' 3\n9422 'ız' 3\n9423 'ła' 3\n9424 'łe' 3\n9425 'ło' 3\n9426 'łu' 3\n9427 'ły' 3\n9428 'őd' 3\n9429 'ők' 3\n9430 'ől' 3\n9431 'ős' 3\n9432 'ře' 3\n9433 'ři' 3\n9434 'śc' 3\n9435 'şt' 3\n9436 'ša' 3\n9437 'še' 3\n9438 'ši' 3\n9439 'št' 3\n9440 'ţi' 3\n9441 'ům' 3\n9442 'że' 3\n9443 'żs' 3\n9444 'ży' 3\n9445 'že' 3\n9446 'ơi' 3\n9447 'ơn' 3\n9448 'ưa' 3\n9449 'și' 3\n9450 'ța' 3\n9451 'ți' 3\n9452 'κB' 3\n9453 'μL' 3\n9454 'μM' 3\n9455 'μg' 3\n9456 'μl' 3\n9457 'μm' 3\n9458 'ं' 3\n9459 'अ' 3\n9460 'आ' 3\n9461 'क' 3\n9462 'ख' 3\n9463 'ग' 3\n9464 'च' 3\n9465 'ज' 3\n9466 'ट' 3\n9467 'ड' 3\n9468 'ण' 3\n9469 'त' 3\n9470 'थ' 3\n9471 'द' 3\n9472 'ध' 3\n9473 'न' 3\n9474 'प' 3\n9475 'ब' 3\n9476 'भ' 3\n9477 'म' 3\n9478 'य' 3\n9479 'र' 3\n9480 'ल' 3\n9481 'व' 3\n9482 'श' 3\n9483 'ष' 3\n9484 'स' 3\n9485 'ह' 3\n9486 '़' 3\n9487 'ा' 3\n9488 'ि' 3\n9489 'ी' 3\n9490 'ु' 3\n9491 'ू' 3\n9492 'े' 3\n9493 'ै' 3\n9494 'ो' 3\n9495 '्' 3\n9496 '।' 3\n9497 'ক' 3\n9498 'গ' 3\n9499 'জ' 3\n9500 'ত' 3\n9501 'দ' 3\n9502 'ন' 3\n9503 'প' 3\n9504 'ব' 3\n9505 'ম' 3\n9506 'য' 3\n9507 'র' 3\n9508 'ল' 3\n9509 'শ' 3\n9510 'স' 3\n9511 'হ' 3\n9512 '়' 3\n9513 'া' 3\n9514 'ি' 3\n9515 'ী' 3\n9516 'ু' 3\n9517 'ে' 3\n9518 'ো' 3\n9519 '্' 3\n9520 'ਂ' 3\n9521 'ਤ' 3\n9522 'ਨ' 3\n9523 'ਰ' 3\n9524 'ਲ' 3\n9525 'ਸ' 3\n9526 'ਾ' 3\n9527 'ਿ' 3\n9528 'ੀ' 3\n9529 'ੇ' 3\n9530 'ੋ' 3\n9531 'ੰ' 3\n9532 'ા' 3\n9533 'ે' 3\n9534 'க' 3\n9535 'ச' 3\n9536 'ட' 3\n9537 'த' 3\n9538 'ந' 3\n9539 'ன' 3\n9540 'ப' 3\n9541 'ம' 3\n9542 'ய' 3\n9543 'ர' 3\n9544 'ற' 3\n9545 'ல' 3\n9546 'ள' 3\n9547 'வ' 3\n9548 'ா' 3\n9549 'ி' 3\n9550 'ு' 3\n9551 'ை' 3\n9552 '்' 3\n9553 'ర' 3\n9554 'ా' 3\n9555 'ి' 3\n9556 'ు' 3\n9557 '్' 3\n9558 'ರ' 3\n9559 '್' 3\n9560 'ം' 3\n9561 'അ' 3\n9562 'എ' 3\n9563 'ക' 3\n9564 'ങ' 3\n9565 'ച' 3\n9566 'ഞ' 3\n9567 'ട' 3\n9568 'ണ' 3\n9569 'ത' 3\n9570 'ദ' 3\n9571 'ന' 3\n9572 'പ' 3\n9573 'മ' 3\n9574 'യ' 3\n9575 'ര' 3\n9576 'റ' 3\n9577 'ല' 3\n9578 'ള' 3\n9579 'വ' 3\n9580 'ശ' 3\n9581 'ഷ' 3\n9582 'സ' 3\n9583 'ാ' 3\n9584 'ി' 3\n9585 'ു' 3\n9586 'െ' 3\n9587 'േ' 3\n9588 '്' 3\n9589 'ൻ' 3\n9590 'ർ' 3\n9591 'ൽ' 3\n9592 'ൾ' 3\n9593 'ක' 3\n9594 'න' 3\n9595 'ම' 3\n9596 'ර' 3\n9597 'ව' 3\n9598 '්' 3\n9599 'ා' 3\n9600 'ි' 3\n9601 'ก' 3\n9602 'ข' 3\n9603 'ค' 3\n9604 'ง' 3\n9605 'จ' 3\n9606 'ช' 3\n9607 'ญ' 3\n9608 'ณ' 3\n9609 'ด' 3\n9610 'ต' 3\n9611 'ถ' 3\n9612 'ท' 3\n9613 'ธ' 3\n9614 'น' 3\n9615 'บ' 3\n9616 'ป' 3\n9617 'ผ' 3\n9618 'พ' 3\n9619 'ภ' 3\n9620 'ม' 3\n9621 'ย' 3\n9622 'ร' 3\n9623 'ล' 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3\n9868 'ℓ' 3\n9869 'ℕ' 3\n9870 '№' 3\n9871 'ℚ' 3\n9872 'ℝ' 3\n9873 '™' 3\n9874 'ℤ' 3\n9875 '⅓' 3\n9876 'Ⅰ' 3\n9877 'Ⅱ' 3\n9878 'Ⅲ' 3\n9879 'Ⅳ' 3\n9880 'Ⅴ' 3\n9881 'Ⅵ' 3\n9882 'Ⅶ' 3\n9883 'Ⅷ' 3\n9884 'Ⅸ' 3\n9885 'Ⅹ' 3\n9886 '←' 3\n9887 '↑' 3\n9888 '→' 3\n9889 '↓' 3\n9890 '↔' 3\n9891 '↖' 3\n9892 '↗' 3\n9893 '↘' 3\n9894 '↙' 3\n9895 '↲' 3\n9896 '↳' 3\n9897 '↵' 3\n9898 '⇒' 3\n9899 '⇔' 3\n9900 '∀' 3\n9901 '∂' 3\n9902 '∃' 3\n9903 '∅' 3\n9904 '∆' 3\n9905 '∇' 3\n9906 '∈' 3\n9907 '∉' 3\n9908 '∑' 3\n9909 '−' 3\n9910 '∕' 3\n9911 '∗' 3\n9912 '∘' 3\n9913 '∙' 3\n9914 '√' 3\n9915 '∞' 3\n9916 '∠' 3\n9917 '∣' 3\n9918 '∥' 3\n9919 '∧' 3\n9920 '∨' 3\n9921 '∩' 3\n9922 '∪' 3\n9923 '∫' 3\n9924 '∮' 3\n9925 '∴' 3\n9926 '∶' 3\n9927 '∷' 3\n9928 '∼' 3\n9929 '∽' 3\n9930 '≃' 3\n9931 '≈' 3\n9932 '≠' 3\n9933 '≡' 3\n9934 '≤' 3\n9935 '≥' 3\n9936 '≦' 3\n9937 '≧' 3\n9938 '≫' 3\n9939 '≯' 3\n9940 '⊂' 3\n9941 '⊆' 3\n9942 '⊕' 3\n9943 '⊗' 3\n9944 '⊙' 3\n9945 '⊢' 3\n9946 '⊤' 3\n9947 '⊥' 3\n9948 '⋅' 3\n9949 '⋯' 3\n9950 '⌒' 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3\n10339 '于' 3\n10340 '亏' 3\n10341 '云' 3\n10342 '互' 3\n10343 '亓' 3\n10344 '五' 3\n10345 '井' 3\n10346 '亘' 3\n10347 '亙' 3\n10348 '亚' 3\n10349 '些' 3\n10350 '亜' 3\n10351 '亞' 3\n10352 '亟' 3\n10353 '亡' 3\n10354 '亢' 3\n10355 '交' 3\n10356 '亥' 3\n10357 '亦' 3\n10358 '产' 3\n10359 '亨' 3\n10360 '亩' 3\n10361 '享' 3\n10362 '京' 3\n10363 '亭' 3\n10364 '亮' 3\n10365 '亰' 3\n10366 '亲' 3\n10367 '亳' 3\n10368 '亵' 3\n10369 '亶' 3\n10370 '人' 3\n10371 '亻' 3\n10372 '亿' 3\n10373 '什' 3\n10374 '仁' 3\n10375 '仃' 3\n10376 '仄' 3\n10377 '仅' 3\n10378 '仆' 3\n10379 '仇' 3\n10380 '仉' 3\n10381 '今' 3\n10382 '介' 3\n10383 '仍' 3\n10384 '从' 3\n10385 '仏' 3\n10386 '仑' 3\n10387 '仓' 3\n10388 '仔' 3\n10389 '仕' 3\n10390 '他' 3\n10391 '仗' 3\n10392 '付' 3\n10393 '仙' 3\n10394 '仝' 3\n10395 '仞' 3\n10396 '仟' 3\n10397 '代' 3\n10398 '令' 3\n10399 '以' 3\n10400 '仨' 3\n10401 '仪' 3\n10402 '们' 3\n10403 '仮' 3\n10404 '仰' 3\n10405 '仲' 3\n10406 '仵' 3\n10407 '件' 3\n10408 '价' 3\n10409 '任' 3\n10410 '份' 3\n10411 '仿' 3\n10412 '企' 3\n10413 '伉' 3\n10414 '伊' 3\n10415 '伍' 3\n10416 '伎' 3\n10417 '伏' 3\n10418 '伐' 3\n10419 '休' 3\n10420 '众' 3\n10421 '优' 3\n10422 '伙' 3\n10423 '会' 3\n10424 '伝' 3\n10425 '伞' 3\n10426 '伟' 3\n10427 '传' 3\n10428 '伢' 3\n10429 '伤' 3\n10430 '伥' 3\n10431 '伦' 3\n10432 '伪' 3\n10433 '伫' 3\n10434 '伯' 3\n10435 '估' 3\n10436 '伱' 3\n10437 '伴' 3\n10438 '伶' 3\n10439 '伸' 3\n10440 '伺' 3\n10441 '似' 3\n10442 '伽' 3\n10443 '佃' 3\n10444 '但' 3\n10445 '佇' 3\n10446 '佈' 3\n10447 '位' 3\n10448 '低' 3\n10449 '住' 3\n10450 '佐' 3\n10451 '佑' 3\n10452 '体' 3\n10453 '佔' 3\n10454 '何' 3\n10455 '佗' 3\n10456 '佘' 3\n10457 '余' 3\n10458 '佚' 3\n10459 '佛' 3\n10460 '作' 3\n10461 '佝' 3\n10462 '佞' 3\n10463 '佟' 3\n10464 '你' 3\n10465 '佢' 3\n10466 '佣' 3\n10467 '佤' 3\n10468 '佥' 3\n10469 '佧' 3\n10470 '佩' 3\n10471 '佬' 3\n10472 '佮' 3\n10473 '佯' 3\n10474 '佰' 3\n10475 '佳' 3\n10476 '併' 3\n10477 '佶' 3\n10478 '佺' 3\n10479 '佻' 3\n10480 '佼' 3\n10481 '佾' 3\n10482 '使' 3\n10483 '侃' 3\n10484 '侄' 3\n10485 '來' 3\n10486 '侈' 3\n10487 '例' 3\n10488 '侍' 3\n10489 '侏' 3\n10490 '侑' 3\n10491 '侖' 3\n10492 '侗' 3\n10493 '侘' 3\n10494 '供' 3\n10495 '依' 3\n10496 '侠' 3\n10497 '価' 3\n10498 '侣' 3\n10499 '侥' 3\n10500 '侦' 3\n10501 '侧' 3\n10502 '侨' 3\n10503 '侩' 3\n10504 '侬' 3\n10505 '侮' 3\n10506 '侯' 3\n10507 '侵' 3\n10508 '侶' 3\n10509 '侷' 3\n10510 '侽' 3\n10511 '便' 3\n10512 '係' 3\n10513 '促' 3\n10514 '俄' 3\n10515 '俅' 3\n10516 '俆' 3\n10517 '俊' 3\n10518 '俎' 3\n10519 '俏' 3\n10520 '俐' 3\n10521 '俑' 3\n10522 '俗' 3\n10523 '俘' 3\n10524 '俚' 3\n10525 '保' 3\n10526 '俞' 3\n10527 '俟' 3\n10528 '俠' 3\n10529 '信' 3\n10530 '俢' 3\n10531 '俣' 3\n10532 '俦' 3\n10533 '俨' 3\n10534 '俩' 3\n10535 '俪' 3\n10536 '俬' 3\n10537 '俭' 3\n10538 '修' 3\n10539 '俯' 3\n10540 '俱' 3\n10541 '俳' 3\n10542 '俵' 3\n10543 '俶' 3\n10544 '俷' 3\n10545 '俸' 3\n10546 '俺' 3\n10547 '俾' 3\n10548 '倆' 3\n10549 '倉' 3\n10550 '個' 3\n10551 '倌' 3\n10552 '倍' 3\n10553 '倏' 3\n10554 '們' 3\n10555 '倒' 3\n10556 '倓' 3\n10557 '倔' 3\n10558 '倖' 3\n10559 '倘' 3\n10560 '候' 3\n10561 '倚' 3\n10562 '倜' 3\n10563 '借' 3\n10564 '倡' 3\n10565 '倢' 3\n10566 '倣' 3\n10567 '値' 3\n10568 '倦' 3\n10569 '倨' 3\n10570 '倩' 3\n10571 '倪' 3\n10572 '倫' 3\n10573 '倬' 3\n10574 '倭' 3\n10575 '倶' 3\n10576 '债' 3\n10577 '值' 3\n10578 '倾' 3\n10579 '偃' 3\n10580 '假' 3\n10581 '偈' 3\n10582 '偉' 3\n10583 '偌' 3\n10584 '偎' 3\n10585 '偏' 3\n10586 '偓' 3\n10587 '偕' 3\n10588 '做' 3\n10589 '停' 3\n10590 '健' 3\n10591 '偲' 3\n10592 '側' 3\n10593 '偵' 3\n10594 '偶' 3\n10595 '偷' 3\n10596 '偻' 3\n10597 '偽' 3\n10598 '偿' 3\n10599 '傀' 3\n10600 '傅' 3\n10601 '傍' 3\n10602 '傑' 3\n10603 '傕' 3\n10604 '傘' 3\n10605 '備' 3\n10606 '傢' 3\n10607 '傣' 3\n10608 '傥' 3\n10609 '储' 3\n10610 '傩' 3\n10611 '催' 3\n10612 '傭' 3\n10613 '傲' 3\n10614 '傳' 3\n10615 '債' 3\n10616 '傷' 3\n10617 '傻' 3\n10618 '傾' 3\n10619 '僅' 3\n10620 '働' 3\n10621 '像' 3\n10622 '僑' 3\n10623 '僕' 3\n10624 '僖' 3\n10625 '僚' 3\n10626 '僞' 3\n10627 '僥' 3\n10628 '僧' 3\n10629 '僭' 3\n10630 '僮' 3\n10631 '僱' 3\n10632 '僵' 3\n10633 '價' 3\n10634 '僻' 3\n10635 '儀' 3\n10636 '儁' 3\n10637 '儂' 3\n10638 '億' 3\n10639 '儆' 3\n10640 '儉' 3\n10641 '儋' 3\n10642 '儒' 3\n10643 '儘' 3\n10644 '儚' 3\n10645 '償' 3\n10646 '儡' 3\n10647 '優' 3\n10648 '儲' 3\n10649 '儷' 3\n10650 '儿' 3\n10651 '兀' 3\n10652 '允' 3\n10653 '元' 3\n10654 '兄' 3\n10655 '充' 3\n10656 '兆' 3\n10657 '兇' 3\n10658 '先' 3\n10659 '光' 3\n10660 '克' 3\n10661 '兌' 3\n10662 '免' 3\n10663 '兎' 3\n10664 '児' 3\n10665 '兑' 3\n10666 '兒' 3\n10667 '兔' 3\n10668 '兕' 3\n10669 '兖' 3\n10670 '党' 3\n10671 '兜' 3\n10672 '兢' 3\n10673 '入' 3\n10674 '內' 3\n10675 '全' 3\n10676 '兩' 3\n10677 '八' 3\n10678 '公' 3\n10679 '六' 3\n10680 '兮' 3\n10681 '兰' 3\n10682 '共' 3\n10683 '兲' 3\n10684 '关' 3\n10685 '兴' 3\n10686 '兵' 3\n10687 '其' 3\n10688 '具' 3\n10689 '典' 3\n10690 '兹' 3\n10691 '养' 3\n10692 '兼' 3\n10693 '兽' 3\n10694 '冀' 3\n10695 '冂' 3\n10696 '内' 3\n10697 '円' 3\n10698 '冇' 3\n10699 '冈' 3\n10700 '冉' 3\n10701 '冊' 3\n10702 '册' 3\n10703 '再' 3\n10704 '冏' 3\n10705 '冒' 3\n10706 '冕' 3\n10707 '冗' 3\n10708 '写' 3\n10709 '军' 3\n10710 '农' 3\n10711 '冠' 3\n10712 '冢' 3\n10713 '冤' 3\n10714 '冥' 3\n10715 '冧' 3\n10716 '冨' 3\n10717 '冪' 3\n10718 '冬' 3\n10719 '冯' 3\n10720 '冰' 3\n10721 '冲' 3\n10722 '决' 3\n10723 '冴' 3\n10724 '况' 3\n10725 '冶' 3\n10726 '冷' 3\n10727 '冻' 3\n10728 '冼' 3\n10729 '冽' 3\n10730 '净' 3\n10731 '凃' 3\n10732 '凄' 3\n10733 '准' 3\n10734 '凈' 3\n10735 '凉' 3\n10736 '凋' 3\n10737 '凌' 3\n10738 '凍' 3\n10739 '减' 3\n10740 '凑' 3\n10741 '凖' 3\n10742 '凛' 3\n10743 '凜' 3\n10744 '凝' 3\n10745 '几' 3\n10746 '凡' 3\n10747 '凤' 3\n10748 '処' 3\n10749 '凧' 3\n10750 '凪' 3\n10751 '凫' 3\n10752 '凭' 3\n10753 '凯' 3\n10754 '凰' 3\n10755 '凱' 3\n10756 '凳' 3\n10757 '凶' 3\n10758 '凸' 3\n10759 '凹' 3\n10760 '出' 3\n10761 '击' 3\n10762 '函' 3\n10763 '凿' 3\n10764 '刀' 3\n10765 '刁' 3\n10766 '刃' 3\n10767 '刄' 3\n10768 '分' 3\n10769 '切' 3\n10770 '刈' 3\n10771 '刊' 3\n10772 '刍' 3\n10773 '刎' 3\n10774 '刑' 3\n10775 '划' 3\n10776 '刕' 3\n10777 '列' 3\n10778 '刘' 3\n10779 '则' 3\n10780 '刚' 3\n10781 '创' 3\n10782 '初' 3\n10783 '删' 3\n10784 '判' 3\n10785 '別' 3\n10786 '刧' 3\n10787 '刨' 3\n10788 '利' 3\n10789 '刪' 3\n10790 '别' 3\n10791 '刮' 3\n10792 '到' 3\n10793 '刳' 3\n10794 '制' 3\n10795 '刷' 3\n10796 '券' 3\n10797 '刹' 3\n10798 '刺' 3\n10799 '刻' 3\n10800 '刽' 3\n10801 '剁' 3\n10802 '剂' 3\n10803 '剃' 3\n10804 '則' 3\n10805 '削' 3\n10806 '剋' 3\n10807 '剌' 3\n10808 '前' 3\n10809 '剎' 3\n10810 '剐' 3\n10811 '剑' 3\n10812 '剔' 3\n10813 '剖' 3\n10814 '剛' 3\n10815 '剜' 3\n10816 '剝' 3\n10817 '剡' 3\n10818 '剣' 3\n10819 '剤' 3\n10820 '剥' 3\n10821 '剧' 3\n10822 '剩' 3\n10823 '剪' 3\n10824 '副' 3\n10825 '剰' 3\n10826 '割' 3\n10827 '創' 3\n10828 '剷' 3\n10829 '剽' 3\n10830 '剿' 3\n10831 '劃' 3\n10832 '劇' 3\n10833 '劈' 3\n10834 '劉' 3\n10835 '劍' 3\n10836 '劑' 3\n10837 '劔' 3\n10838 '力' 3\n10839 '劝' 3\n10840 '办' 3\n10841 '功' 3\n10842 '加' 3\n10843 '务' 3\n10844 '劢' 3\n10845 '劣' 3\n10846 '动' 3\n10847 '助' 3\n10848 '努' 3\n10849 '劫' 3\n10850 '劭' 3\n10851 '励' 3\n10852 '劲' 3\n10853 '劳' 3\n10854 '労' 3\n10855 '劵' 3\n10856 '効' 3\n10857 '劼' 3\n10858 '劾' 3\n10859 '势' 3\n10860 '勁' 3\n10861 '勃' 3\n10862 '勅' 3\n10863 '勇' 3\n10864 '勉' 3\n10865 '勋' 3\n10866 '勍' 3\n10867 '勐' 3\n10868 '勒' 3\n10869 '動' 3\n10870 '勖' 3\n10871 '勘' 3\n10872 '務' 3\n10873 '勛' 3\n10874 '勝' 3\n10875 '勞' 3\n10876 '募' 3\n10877 '勠' 3\n10878 '勢' 3\n10879 '勣' 3\n10880 '勤' 3\n10881 '勧' 3\n10882 '勰' 3\n10883 '勲' 3\n10884 '勳' 3\n10885 '勵' 3\n10886 '勸' 3\n10887 '勺' 3\n10888 '勻' 3\n10889 '勾' 3\n10890 '勿' 3\n10891 '匀' 3\n10892 '匁' 3\n10893 '匂' 3\n10894 '包' 3\n10895 '匆' 3\n10896 '匈' 3\n10897 '匍' 3\n10898 '匏' 3\n10899 '匐' 3\n10900 '匕' 3\n10901 '化' 3\n10902 '北' 3\n10903 '匙' 3\n10904 '匝' 3\n10905 '匠' 3\n10906 '匡' 3\n10907 '匣' 3\n10908 '匪' 3\n10909 '匮' 3\n10910 '匯' 3\n10911 '匹' 3\n10912 '区' 3\n10913 '医' 3\n10914 '匾' 3\n10915 '匿' 3\n10916 '區' 3\n10917 '十' 3\n10918 '千' 3\n10919 '卅' 3\n10920 '升' 3\n10921 '午' 3\n10922 '卉' 3\n10923 '半' 3\n10924 '卍' 3\n10925 '华' 3\n10926 '协' 3\n10927 '卐' 3\n10928 '卑' 3\n10929 '卒' 3\n10930 '卓' 3\n10931 '協' 3\n10932 '单' 3\n10933 '卖' 3\n10934 '南' 3\n10935 '単' 3\n10936 '博' 3\n10937 '卜' 3\n10938 '卞' 3\n10939 '卟' 3\n10940 '占' 3\n10941 '卡' 3\n10942 '卢' 3\n10943 '卣' 3\n10944 '卤' 3\n10945 '卦' 3\n10946 '卧' 3\n10947 '卫' 3\n10948 '卬' 3\n10949 '卮' 3\n10950 '卯' 3\n10951 '印' 3\n10952 '危' 3\n10953 '即' 3\n10954 '却' 3\n10955 '卵' 3\n10956 '卷' 3\n10957 '卸' 3\n10958 '卻' 3\n10959 '卽' 3\n10960 '卿' 3\n10961 '厂' 3\n10962 '厄' 3\n10963 '厅' 3\n10964 '历' 3\n10965 '厉' 3\n10966 '压' 3\n10967 '厌' 3\n10968 '厍' 3\n10969 '厓' 3\n10970 '厕' 3\n10971 '厘' 3\n10972 '厚' 3\n10973 '厝' 3\n10974 '原' 3\n10975 '厢' 3\n10976 '厥' 3\n10977 '厦' 3\n10978 '厨' 3\n10979 '厩' 3\n10980 '厭' 3\n10981 '厮' 3\n10982 '厲' 3\n10983 '厳' 3\n10984 '厶' 3\n10985 '去' 3\n10986 '县' 3\n10987 '叁' 3\n10988 '参' 3\n10989 '參' 3\n10990 '又' 3\n10991 '叉' 3\n10992 '及' 3\n10993 '友' 3\n10994 '双' 3\n10995 '反' 3\n10996 '収' 3\n10997 '发' 3\n10998 '叒' 3\n10999 '叔' 3\n11000 '叕' 3\n11001 '取' 3\n11002 '受' 3\n11003 '变' 3\n11004 '叙' 3\n11005 '叛' 3\n11006 '叟' 3\n11007 '叠' 3\n11008 '叡' 3\n11009 '叢' 3\n11010 '口' 3\n11011 '古' 3\n11012 '句' 3\n11013 '另' 3\n11014 '叨' 3\n11015 '叩' 3\n11016 '只' 3\n11017 '叫' 3\n11018 '召' 3\n11019 '叭' 3\n11020 '叮' 3\n11021 '可' 3\n11022 '台' 3\n11023 '叱' 3\n11024 '史' 3\n11025 '右' 3\n11026 '叵' 3\n11027 '叶' 3\n11028 '号' 3\n11029 '司' 3\n11030 '叹' 3\n11031 '叻' 3\n11032 '叼' 3\n11033 '叽' 3\n11034 '吁' 3\n11035 '吃' 3\n11036 '各' 3\n11037 '吆' 3\n11038 '合' 3\n11039 '吉' 3\n11040 '吊' 3\n11041 '吋' 3\n11042 '同' 3\n11043 '名' 3\n11044 '后' 3\n11045 '吏' 3\n11046 '吐' 3\n11047 '向' 3\n11048 '吒' 3\n11049 '吓' 3\n11050 '吔' 3\n11051 '吕' 3\n11052 '吖' 3\n11053 '吗' 3\n11054 '君' 3\n11055 '吝' 3\n11056 '吞' 3\n11057 '吟' 3\n11058 '吠' 3\n11059 '吡' 3\n11060 '否' 3\n11061 '吧' 3\n11062 '吨' 3\n11063 '吩' 3\n11064 '含' 3\n11065 '听' 3\n11066 '吭' 3\n11067 '吮' 3\n11068 '启' 3\n11069 '吱' 3\n11070 '吲' 3\n11071 '吳' 3\n11072 '吴' 3\n11073 '吵' 3\n11074 '吶' 3\n11075 '吸' 3\n11076 '吹' 3\n11077 '吻' 3\n11078 '吼' 3\n11079 '吽' 3\n11080 '吾' 3\n11081 '吿' 3\n11082 '呀' 3\n11083 '呂' 3\n11084 '呃' 3\n11085 '呆' 3\n11086 '呈' 3\n11087 '呉' 3\n11088 '告' 3\n11089 '呋' 3\n11090 '呎' 3\n11091 '呐' 3\n11092 '呑' 3\n11093 '呓' 3\n11094 '呔' 3\n11095 '呕' 3\n11096 '呖' 3\n11097 '呗' 3\n11098 '员' 3\n11099 '呛' 3\n11100 '呜' 3\n11101 '呡' 3\n11102 '呢' 3\n11103 '呤' 3\n11104 '呦' 3\n11105 '周' 3\n11106 '呪' 3\n11107 '呯' 3\n11108 '呱' 3\n11109 '呲' 3\n11110 '味' 3\n11111 '呵' 3\n11112 '呶' 3\n11113 '呷' 3\n11114 '呸' 3\n11115 '呻' 3\n11116 '呼' 3\n11117 '命' 3\n11118 '咀' 3\n11119 '咁' 3\n11120 '咂' 3\n11121 '咄' 3\n11122 '咆' 3\n11123 '咋' 3\n11124 '和' 3\n11125 '咎' 3\n11126 '咏' 3\n11127 '咐' 3\n11128 '咒' 3\n11129 '咔' 3\n11130 '咕' 3\n11131 '咖' 3\n11132 '咗' 3\n11133 '咘' 3\n11134 '咙' 3\n11135 '咚' 3\n11136 '咛' 3\n11137 '咝' 3\n11138 '咣' 3\n11139 '咤' 3\n11140 '咥' 3\n11141 '咦' 3\n11142 '咧' 3\n11143 '咨' 3\n11144 '咩' 3\n11145 '咪' 3\n11146 '咫' 3\n11147 '咬' 3\n11148 '咭' 3\n11149 '咯' 3\n11150 '咱' 3\n11151 '咲' 3\n11152 '咳' 3\n11153 '咸' 3\n11154 '咻' 3\n11155 '咽' 3\n11156 '咾' 3\n11157 '咿' 3\n11158 '哀' 3\n11159 '品' 3\n11160 '哂' 3\n11161 '哄' 3\n11162 '哆' 3\n11163 '哇' 3\n11164 '哈' 3\n11165 '哉' 3\n11166 '哋' 3\n11167 '哌' 3\n11168 '响' 3\n11169 '哎' 3\n11170 '哏' 3\n11171 '哐' 3\n11172 '哑' 3\n11173 '哒' 3\n11174 '哔' 3\n11175 '哗' 3\n11176 '哙' 3\n11177 '哚' 3\n11178 '哝' 3\n11179 '哞' 3\n11180 '哟' 3\n11181 '員' 3\n11182 '哥' 3\n11183 '哦' 3\n11184 '哧' 3\n11185 '哨' 3\n11186 '哩' 3\n11187 '哪' 3\n11188 '哭' 3\n11189 '哮' 3\n11190 '哲' 3\n11191 '哺' 3\n11192 '哼' 3\n11193 '哽' 3\n11194 '唁' 3\n11195 '唄' 3\n11196 '唆' 3\n11197 '唇' 3\n11198 '唉' 3\n11199 '唏' 3\n11200 '唐' 3\n11201 '唑' 3\n11202 '唔' 3\n11203 '唛' 3\n11204 '唠' 3\n11205 '唢' 3\n11206 '唤' 3\n11207 '唧' 3\n11208 '唬' 3\n11209 '售' 3\n11210 '唯' 3\n11211 '唰' 3\n11212 '唱' 3\n11213 '唳' 3\n11214 '唵' 3\n11215 '唷' 3\n11216 '唸' 3\n11217 '唾' 3\n11218 '唿' 3\n11219 '啃' 3\n11220 '啄' 3\n11221 '商' 3\n11222 '啉' 3\n11223 '啊' 3\n11224 '問' 3\n11225 '啐' 3\n11226 '啓' 3\n11227 '啕' 3\n11228 '啖' 3\n11229 '啜' 3\n11230 '啞' 3\n11231 '啟' 3\n11232 '啡' 3\n11233 '啤' 3\n11234 '啥' 3\n11235 '啦' 3\n11236 '啧' 3\n11237 '啪' 3\n11238 '啫' 3\n11239 '啬' 3\n11240 '啭' 3\n11241 '啮' 3\n11242 '啰' 3\n11243 '啱' 3\n11244 '啲' 3\n11245 '啵' 3\n11246 '啶' 3\n11247 '啷' 3\n11248 '啸' 3\n11249 '啻' 3\n11250 '啼' 3\n11251 '啾' 3\n11252 '喀' 3\n11253 '喂' 3\n11254 '喃' 3\n11255 '善' 3\n11256 '喆' 3\n11257 '喇' 3\n11258 '喉' 3\n11259 '喊' 3\n11260 '喋' 3\n11261 '喎' 3\n11262 '喏' 3\n11263 '喑' 3\n11264 '喔' 3\n11265 '喘' 3\n11266 '喙' 3\n11267 '喚' 3\n11268 '喜' 3\n11269 '喝' 3\n11270 '喟' 3\n11271 '喧' 3\n11272 '喪' 3\n11273 '喫' 3\n11274 '喬' 3\n11275 '單' 3\n11276 '喰' 3\n11277 '喱' 3\n11278 '喲' 3\n11279 '喳' 3\n11280 '喵' 3\n11281 '営' 3\n11282 '喷' 3\n11283 '喹' 3\n11284 '喺' 3\n11285 '喻' 3\n11286 '喽' 3\n11287 '喾' 3\n11288 '嗄' 3\n11289 '嗅' 3\n11290 '嗆' 3\n11291 '嗇' 3\n11292 '嗌' 3\n11293 '嗎' 3\n11294 '嗐' 3\n11295 '嗑' 3\n11296 '嗒' 3\n11297 '嗓' 3\n11298 '嗔' 3\n11299 '嗖' 3\n11300 '嗚' 3\n11301 '嗜' 3\n11302 '嗝' 3\n11303 '嗞' 3\n11304 '嗟' 3\n11305 '嗡' 3\n11306 '嗣' 3\n11307 '嗤' 3\n11308 '嗥' 3\n11309 '嗦' 3\n11310 '嗨' 3\n11311 '嗪' 3\n11312 '嗫' 3\n11313 '嗬' 3\n11314 '嗮' 3\n11315 '嗯' 3\n11316 '嗲' 3\n11317 '嗳' 3\n11318 '嗵' 3\n11319 '嗶' 3\n11320 '嗷' 3\n11321 '嗽' 3\n11322 '嘀' 3\n11323 '嘁' 3\n11324 '嘅' 3\n11325 '嘆' 3\n11326 '嘈' 3\n11327 '嘉' 3\n11328 '嘍' 3\n11329 '嘎' 3\n11330 '嘏' 3\n11331 '嘔' 3\n11332 '嘖' 3\n11333 '嘗' 3\n11334 '嘘' 3\n11335 '嘚' 3\n11336 '嘛' 3\n11337 '嘞' 3\n11338 '嘟' 3\n11339 '嘢' 3\n11340 '嘣' 3\n11341 '嘤' 3\n11342 '嘩' 3\n11343 '嘬' 3\n11344 '嘭' 3\n11345 '嘯' 3\n11346 '嘰' 3\n11347 '嘱' 3\n11348 '嘲' 3\n11349 '嘴' 3\n11350 '嘶' 3\n11351 '嘸' 3\n11352 '嘹' 3\n11353 '嘻' 3\n11354 '嘿' 3\n11355 '噁' 3\n11356 '噂' 3\n11357 '噌' 3\n11358 '噎' 3\n11359 '噓' 3\n11360 '噔' 3\n11361 '噗' 3\n11362 '噘' 3\n11363 '噙' 3\n11364 '噛' 3\n11365 '噜' 3\n11366 '噠' 3\n11367 '噢' 3\n11368 '噤' 3\n11369 '器' 3\n11370 '噩' 3\n11371 '噪' 3\n11372 '噫' 3\n11373 '噬' 3\n11374 '噱' 3\n11375 '噴' 3\n11376 '噶' 3\n11377 '噸' 3\n11378 '噹' 3\n11379 '噺' 3\n11380 '噻' 3\n11381 '噼' 3\n11382 '嚀' 3\n11383 '嚅' 3\n11384 '嚇' 3\n11385 '嚎' 3\n11386 '嚏' 3\n11387 '嚐' 3\n11388 '嚓' 3\n11389 '嚕' 3\n11390 '嚜' 3\n11391 '嚟' 3\n11392 '嚢' 3\n11393 '嚣' 3\n11394 '嚥' 3\n11395 '嚭' 3\n11396 '嚮' 3\n11397 '嚯' 3\n11398 '嚴' 3\n11399 '嚶' 3\n11400 '嚷' 3\n11401 '嚼' 3\n11402 '囁' 3\n11403 '囂' 3\n11404 '囉' 3\n11405 '囊' 3\n11406 '囍' 3\n11407 '囑' 3\n11408 '囔' 3\n11409 '囗' 3\n11410 '囘' 3\n11411 '囚' 3\n11412 '四' 3\n11413 '囝' 3\n11414 '回' 3\n11415 '囟' 3\n11416 '因' 3\n11417 '囡' 3\n11418 '团' 3\n11419 '団' 3\n11420 '囤' 3\n11421 '囧' 3\n11422 '囫' 3\n11423 '园' 3\n11424 '囮' 3\n11425 '囯' 3\n11426 '困' 3\n11427 '囱' 3\n11428 '囲' 3\n11429 '図' 3\n11430 '围' 3\n11431 '囵' 3\n11432 '囷' 3\n11433 '囹' 3\n11434 '固' 3\n11435 '国' 3\n11436 '图' 3\n11437 '囿' 3\n11438 '圃' 3\n11439 '圄' 3\n11440 '圆' 3\n11441 '圈' 3\n11442 '圉' 3\n11443 '國' 3\n11444 '圍' 3\n11445 '圏' 3\n11446 '園' 3\n11447 '圓' 3\n11448 '圖' 3\n11449 '團' 3\n11450 '圜' 3\n11451 '土' 3\n11452 '圣' 3\n11453 '圧' 3\n11454 '在' 3\n11455 '圩' 3\n11456 '圪' 3\n11457 '圭' 3\n11458 '圮' 3\n11459 '地' 3\n11460 '圳' 3\n11461 '场' 3\n11462 '圻' 3\n11463 '圾' 3\n11464 '址' 3\n11465 '坂' 3\n11466 '均' 3\n11467 '坊' 3\n11468 '坍' 3\n11469 '坎' 3\n11470 '坏' 3\n11471 '坐' 3\n11472 '坑' 3\n11473 '块' 3\n11474 '坚' 3\n11475 '坛' 3\n11476 '坜' 3\n11477 '坝' 3\n11478 '坞' 3\n11479 '坟' 3\n11480 '坠' 3\n11481 '坡' 3\n11482 '坤' 3\n11483 '坦' 3\n11484 '坨' 3\n11485 '坪' 3\n11486 '坭' 3\n11487 '坯' 3\n11488 '坳' 3\n11489 '坵' 3\n11490 '坶' 3\n11491 '坷' 3\n11492 '垂' 3\n11493 '垃' 3\n11494 '垄' 3\n11495 '垅' 3\n11496 '型' 3\n11497 '垌' 3\n11498 '垒' 3\n11499 '垓' 3\n11500 '垚' 3\n11501 '垛' 3\n11502 '垟' 3\n11503 '垠' 3\n11504 '垡' 3\n11505 '垢' 3\n11506 '垣' 3\n11507 '垦' 3\n11508 '垩' 3\n11509 '垫' 3\n11510 '垭' 3\n11511 '垮' 3\n11512 '垵' 3\n11513 '埂' 3\n11514 '埃' 3\n11515 '埋' 3\n11516 '埌' 3\n11517 '城' 3\n11518 '埒' 3\n11519 '埔' 3\n11520 '埕' 3\n11521 '埗' 3\n11522 '埙' 3\n11523 '埜' 3\n11524 '域' 3\n11525 '埠' 3\n11526 '埤' 3\n11527 '埭' 3\n11528 '埴' 3\n11529 '埵' 3\n11530 '執' 3\n11531 '埸' 3\n11532 '培' 3\n11533 '基' 3\n11534 '埼' 3\n11535 '堀' 3\n11536 '堂' 3\n11537 '堃' 3\n11538 '堅' 3\n11539 '堆' 3\n11540 '堇' 3\n11541 '堑' 3\n11542 '堔' 3\n11543 '堕' 3\n11544 '堡' 3\n11545 '堤' 3\n11546 '堪' 3\n11547 '堯' 3\n11548 '堰' 3\n11549 '報' 3\n11550 '場' 3\n11551 '堵' 3\n11552 '堺' 3\n11553 '塀' 3\n11554 '塁' 3\n11555 '塊' 3\n11556 '塌' 3\n11557 '塍' 3\n11558 '塑' 3\n11559 '塔' 3\n11560 '塗' 3\n11561 '塘' 3\n11562 '塙' 3\n11563 '塚' 3\n11564 '塞' 3\n11565 '塢' 3\n11566 '塩' 3\n11567 '填' 3\n11568 '塬' 3\n11569 '塭' 3\n11570 '塱' 3\n11571 '塵' 3\n11572 '塾' 3\n11573 '墀' 3\n11574 '境' 3\n11575 '墅' 3\n11576 '墉' 3\n11577 '墊' 3\n11578 '墒' 3\n11579 '墓' 3\n11580 '増' 3\n11581 '墘' 3\n11582 '墙' 3\n11583 '墜' 3\n11584 '增' 3\n11585 '墟' 3\n11586 '墨' 3\n11587 '墩' 3\n11588 '墮' 3\n11589 '墳' 3\n11590 '墻' 3\n11591 '墾' 3\n11592 '壁' 3\n11593 '壅' 3\n11594 '壇' 3\n11595 '壊' 3\n11596 '壌' 3\n11597 '壑' 3\n11598 '壓' 3\n11599 '壕' 3\n11600 '壘' 3\n11601 '壞' 3\n11602 '壟' 3\n11603 '壢' 3\n11604 '壤' 3\n11605 '壩' 3\n11606 '士' 3\n11607 '壬' 3\n11608 '壮' 3\n11609 '壯' 3\n11610 '声' 3\n11611 '壱' 3\n11612 '売' 3\n11613 '壳' 3\n11614 '壶' 3\n11615 '壷' 3\n11616 '壹' 3\n11617 '壺' 3\n11618 '壼' 3\n11619 '壽' 3\n11620 '夂' 3\n11621 '处' 3\n11622 '备' 3\n11623 '変' 3\n11624 '夋' 3\n11625 '夌' 3\n11626 '复' 3\n11627 '夏' 3\n11628 '夔' 3\n11629 '夕' 3\n11630 '外' 3\n11631 '夙' 3\n11632 '多' 3\n11633 '夜' 3\n11634 '够' 3\n11635 '夠' 3\n11636 '夢' 3\n11637 '夥' 3\n11638 '大' 3\n11639 '天' 3\n11640 '太' 3\n11641 '夫' 3\n11642 '夭' 3\n11643 '央' 3\n11644 '夯' 3\n11645 '失' 3\n11646 '夲' 3\n11647 '头' 3\n11648 '夷' 3\n11649 '夸' 3\n11650 '夹' 3\n11651 '夺' 3\n11652 '夾' 3\n11653 '奁' 3\n11654 '奂' 3\n11655 '奄' 3\n11656 '奇' 3\n11657 '奈' 3\n11658 '奉' 3\n11659 '奋' 3\n11660 '奎' 3\n11661 '奏' 3\n11662 '契' 3\n11663 '奔' 3\n11664 '奕' 3\n11665 '奖' 3\n11666 '套' 3\n11667 '奘' 3\n11668 '奚' 3\n11669 '奠' 3\n11670 '奡' 3\n11671 '奢' 3\n11672 '奥' 3\n11673 '奧' 3\n11674 '奨' 3\n11675 '奪' 3\n11676 '奬' 3\n11677 '奭' 3\n11678 '奮' 3\n11679 '女' 3\n11680 '奴' 3\n11681 '奶' 3\n11682 '奷' 3\n11683 '奸' 3\n11684 '她' 3\n11685 '好' 3\n11686 '妁' 3\n11687 '如' 3\n11688 '妃' 3\n11689 '妄' 3\n11690 '妆' 3\n11691 '妇' 3\n11692 '妈' 3\n11693 '妊' 3\n11694 '妍' 3\n11695 '妏' 3\n11696 '妒' 3\n11697 '妓' 3\n11698 '妖' 3\n11699 '妗' 3\n11700 '妘' 3\n11701 '妙' 3\n11702 '妝' 3\n11703 '妞' 3\n11704 '妡' 3\n11705 '妣' 3\n11706 '妤' 3\n11707 '妥' 3\n11708 '妧' 3\n11709 '妨' 3\n11710 '妩' 3\n11711 '妪' 3\n11712 '妫' 3\n11713 '妬' 3\n11714 '妮' 3\n11715 '妯' 3\n11716 '妲' 3\n11717 '妳' 3\n11718 '妹' 3\n11719 '妺' 3\n11720 '妻' 3\n11721 '妾' 3\n11722 '姀' 3\n11723 '姆' 3\n11724 '姉' 3\n11725 '姊' 3\n11726 '始' 3\n11727 '姌' 3\n11728 '姍' 3\n11729 '姐' 3\n11730 '姑' 3\n11731 '姒' 3\n11732 '姓' 3\n11733 '委' 3\n11734 '姗' 3\n11735 '姘' 3\n11736 '姚' 3\n11737 '姜' 3\n11738 '姝' 3\n11739 '姣' 3\n11740 '姥' 3\n11741 '姦' 3\n11742 '姨' 3\n11743 '姪' 3\n11744 '姫' 3\n11745 '姬' 3\n11746 '姮' 3\n11747 '姳' 3\n11748 '姵' 3\n11749 '姹' 3\n11750 '姻' 3\n11751 '姽' 3\n11752 '姿' 3\n11753 '威' 3\n11754 '娃' 3\n11755 '娄' 3\n11756 '娅' 3\n11757 '娆' 3\n11758 '娇' 3\n11759 '娈' 3\n11760 '娉' 3\n11761 '娌' 3\n11762 '娑' 3\n11763 '娓' 3\n11764 '娘' 3\n11765 '娛' 3\n11766 '娜' 3\n11767 '娟' 3\n11768 '娠' 3\n11769 '娣' 3\n11770 '娥' 3\n11771 '娩' 3\n11772 '娪' 3\n11773 '娰' 3\n11774 '娱' 3\n11775 '娲' 3\n11776 '娴' 3\n11777 '娶' 3\n11778 '娼' 3\n11779 '婀' 3\n11780 '婁' 3\n11781 '婆' 3\n11782 '婉' 3\n11783 '婊' 3\n11784 '婕' 3\n11785 '婚' 3\n11786 '婠' 3\n11787 '婢' 3\n11788 '婥' 3\n11789 '婦' 3\n11790 '婧' 3\n11791 '婪' 3\n11792 '婬' 3\n11793 '婭' 3\n11794 '婳' 3\n11795 '婴' 3\n11796 '婵' 3\n11797 '婶' 3\n11798 '婷' 3\n11799 '婺' 3\n11800 '婻' 3\n11801 '婼' 3\n11802 '婿' 3\n11803 '媃' 3\n11804 '媄' 3\n11805 '媒' 3\n11806 '媓' 3\n11807 '媗' 3\n11808 '媚' 3\n11809 '媛' 3\n11810 '媞' 3\n11811 '媪' 3\n11812 '媱' 3\n11813 '媲' 3\n11814 '媳' 3\n11815 '媽' 3\n11816 '媾' 3\n11817 '嫁' 3\n11818 '嫂' 3\n11819 '嫃' 3\n11820 '嫆' 3\n11821 '嫉' 3\n11822 '嫌' 3\n11823 '嫒' 3\n11824 '嫔' 3\n11825 '嫖' 3\n11826 '嫚' 3\n11827 '嫡' 3\n11828 '嫣' 3\n11829 '嫤' 3\n11830 '嫦' 3\n11831 '嫩' 3\n11832 '嫪' 3\n11833 '嫮' 3\n11834 '嫰' 3\n11835 '嫱' 3\n11836 '嫲' 3\n11837 '嫻' 3\n11838 '嬅' 3\n11839 '嬉' 3\n11840 '嬌' 3\n11841 '嬗' 3\n11842 '嬛' 3\n11843 '嬢' 3\n11844 '嬤' 3\n11845 '嬪' 3\n11846 '嬬' 3\n11847 '嬰' 3\n11848 '嬲' 3\n11849 '嬴' 3\n11850 '嬷' 3\n11851 '嬸' 3\n11852 '嬿' 3\n11853 '孀' 3\n11854 '孃' 3\n11855 '子' 3\n11856 '孑' 3\n11857 '孔' 3\n11858 '孕' 3\n11859 '孖' 3\n11860 '字' 3\n11861 '存' 3\n11862 '孙' 3\n11863 '孚' 3\n11864 '孛' 3\n11865 '孜' 3\n11866 '孝' 3\n11867 '孟' 3\n11868 '孢' 3\n11869 '季' 3\n11870 '孤' 3\n11871 '学' 3\n11872 '孩' 3\n11873 '孪' 3\n11874 '孫' 3\n11875 '孬' 3\n11876 '孰' 3\n11877 '孱' 3\n11878 '孳' 3\n11879 '孵' 3\n11880 '學' 3\n11881 '孺' 3\n11882 '孽' 3\n11883 '宀' 3\n11884 '宁' 3\n11885 '它' 3\n11886 '宅' 3\n11887 '宇' 3\n11888 '守' 3\n11889 '安' 3\n11890 '宋' 3\n11891 '完' 3\n11892 '宍' 3\n11893 '宏' 3\n11894 '宓' 3\n11895 '宕' 3\n11896 '宗' 3\n11897 '官' 3\n11898 '宙' 3\n11899 '定' 3\n11900 '宛' 3\n11901 '宜' 3\n11902 '宝' 3\n11903 '实' 3\n11904 '実' 3\n11905 '宠' 3\n11906 '审' 3\n11907 '客' 3\n11908 '宣' 3\n11909 '室' 3\n11910 '宥' 3\n11911 '宦' 3\n11912 '宪' 3\n11913 '宫' 3\n11914 '宬' 3\n11915 '宮' 3\n11916 '宰' 3\n11917 '害' 3\n11918 '宴' 3\n11919 '宵' 3\n11920 '家' 3\n11921 '宸' 3\n11922 '容' 3\n11923 '宽' 3\n11924 '宾' 3\n11925 '宿' 3\n11926 '寀' 3\n11927 '寂' 3\n11928 '寄' 3\n11929 '寅' 3\n11930 '密' 3\n11931 '寇' 3\n11932 '富' 3\n11933 '寐' 3\n11934 '寒' 3\n11935 '寓' 3\n11936 '寔' 3\n11937 '寛' 3\n11938 '寝' 3\n11939 '寞' 3\n11940 '察' 3\n11941 '寡' 3\n11942 '寢' 3\n11943 '寤' 3\n11944 '寥' 3\n11945 '實' 3\n11946 '寧' 3\n11947 '寨' 3\n11948 '審' 3\n11949 '寫' 3\n11950 '寬' 3\n11951 '寮' 3\n11952 '寰' 3\n11953 '寳' 3\n11954 '寵' 3\n11955 '寶' 3\n11956 '寸' 3\n11957 '对' 3\n11958 '寺' 3\n11959 '寻' 3\n11960 '导' 3\n11961 '対' 3\n11962 '寿' 3\n11963 '封' 3\n11964 '専' 3\n11965 '射' 3\n11966 '尅' 3\n11967 '将' 3\n11968 '將' 3\n11969 '專' 3\n11970 '尉' 3\n11971 '尊' 3\n11972 '尋' 3\n11973 '對' 3\n11974 '導' 3\n11975 '小' 3\n11976 '尐' 3\n11977 '少' 3\n11978 '尓' 3\n11979 '尔' 3\n11980 '尕' 3\n11981 '尖' 3\n11982 '尘' 3\n11983 '尙' 3\n11984 '尚' 3\n11985 '尛' 3\n11986 '尝' 3\n11987 '尢' 3\n11988 '尤' 3\n11989 '尧' 3\n11990 '尨' 3\n11991 '尪' 3\n11992 '尬' 3\n11993 '尭' 3\n11994 '就' 3\n11995 '尴' 3\n11996 '尷' 3\n11997 '尸' 3\n11998 '尹' 3\n11999 '尺' 3\n12000 '尻' 3\n12001 '尼' 3\n12002 '尽' 3\n12003 '尾' 3\n12004 '尿' 3\n12005 '局' 3\n12006 '屁' 3\n12007 '层' 3\n12008 '屃' 3\n12009 '屄' 3\n12010 '居' 3\n12011 '屆' 3\n12012 '屈' 3\n12013 '屉' 3\n12014 '届' 3\n12015 '屋' 3\n12016 '屌' 3\n12017 '屍' 3\n12018 '屎' 3\n12019 '屏' 3\n12020 '屐' 3\n12021 '屑' 3\n12022 '展' 3\n12023 '屙' 3\n12024 '屜' 3\n12025 '属' 3\n12026 '屠' 3\n12027 '屡' 3\n12028 '屢' 3\n12029 '層' 3\n12030 '履' 3\n12031 '屬' 3\n12032 '屮' 3\n12033 '屯' 3\n12034 '山' 3\n12035 '屹' 3\n12036 '屾' 3\n12037 '屿' 3\n12038 '岀' 3\n12039 '岁' 3\n12040 '岂' 3\n12041 '岄' 3\n12042 '岌' 3\n12043 '岐' 3\n12044 '岑' 3\n12045 '岔' 3\n12046 '岖' 3\n12047 '岗' 3\n12048 '岘' 3\n12049 '岙' 3\n12050 '岚' 3\n12051 '岛' 3\n12052 '岡' 3\n12053 '岢' 3\n12054 '岩' 3\n12055 '岫' 3\n12056 '岬' 3\n12057 '岭' 3\n12058 '岱' 3\n12059 '岳' 3\n12060 '岷' 3\n12061 '岸' 3\n12062 '岿' 3\n12063 '峁' 3\n12064 '峄' 3\n12065 '峇' 3\n12066 '峋' 3\n12067 '峒' 3\n12068 '峙' 3\n12069 '峠' 3\n12070 '峡' 3\n12071 '峤' 3\n12072 '峥' 3\n12073 '峦' 3\n12074 '峨' 3\n12075 '峪' 3\n12076 '峭' 3\n12077 '峮' 3\n12078 '峯' 3\n12079 '峰' 3\n12080 '峴' 3\n12081 '島' 3\n12082 '峻' 3\n12083 '峽' 3\n12084 '崁' 3\n12085 '崂' 3\n12086 '崆' 3\n12087 '崇' 3\n12088 '崎' 3\n12089 '崑' 3\n12090 '崔' 3\n12091 '崖' 3\n12092 '崗' 3\n12093 '崙' 3\n12094 '崚' 3\n12095 '崛' 3\n12096 '崟' 3\n12097 '崢' 3\n12098 '崤' 3\n12099 '崧' 3\n12100 '崩' 3\n12101 '崭' 3\n12102 '崮' 3\n12103 '崴' 3\n12104 '崽' 3\n12105 '嵇' 3\n12106 '嵊' 3\n12107 '嵋' 3\n12108 '嵌' 3\n12109 '嵐' 3\n12110 '嵘' 3\n12111 '嵛' 3\n12112 '嵜' 3\n12113 '嵩' 3\n12114 '嵬' 3\n12115 '嵴' 3\n12116 '嶂' 3\n12117 '嶋' 3\n12118 '嶌' 3\n12119 '嶙' 3\n12120 '嶝' 3\n12121 '嶷' 3\n12122 '嶸' 3\n12123 '嶺' 3\n12124 '嶼' 3\n12125 '嶽' 3\n12126 '巅' 3\n12127 '巌' 3\n12128 '巍' 3\n12129 '巒' 3\n12130 '巔' 3\n12131 '巖' 3\n12132 '川' 3\n12133 '州' 3\n12134 '巡' 3\n12135 '巢' 3\n12136 '巣' 3\n12137 '工' 3\n12138 '左' 3\n12139 '巧' 3\n12140 '巨' 3\n12141 '巩' 3\n12142 '巫' 3\n12143 '差' 3\n12144 '己' 3\n12145 '已' 3\n12146 '巳' 3\n12147 '巴' 3\n12148 '巷' 3\n12149 '巻' 3\n12150 '巽' 3\n12151 '巾' 3\n12152 '巿' 3\n12153 '币' 3\n12154 '市' 3\n12155 '布' 3\n12156 '帅' 3\n12157 '帆' 3\n12158 '师' 3\n12159 '希' 3\n12160 '帏' 3\n12161 '帐' 3\n12162 '帔' 3\n12163 '帕' 3\n12164 '帖' 3\n12165 '帘' 3\n12166 '帙' 3\n12167 '帚' 3\n12168 '帛' 3\n12169 '帜' 3\n12170 '帝' 3\n12171 '帥' 3\n12172 '带' 3\n12173 '帧' 3\n12174 '師' 3\n12175 '席' 3\n12176 '帮' 3\n12177 '帯' 3\n12178 '帰' 3\n12179 '帳' 3\n12180 '帶' 3\n12181 '帷' 3\n12182 '常' 3\n12183 '帼' 3\n12184 '帽' 3\n12185 '幀' 3\n12186 '幂' 3\n12187 '幄' 3\n12188 '幅' 3\n12189 '幇' 3\n12190 '幌' 3\n12191 '幔' 3\n12192 '幕' 3\n12193 '幟' 3\n12194 '幡' 3\n12195 '幢' 3\n12196 '幣' 3\n12197 '幪' 3\n12198 '幫' 3\n12199 '干' 3\n12200 '平' 3\n12201 '年' 3\n12202 '并' 3\n12203 '幸' 3\n12204 '幹' 3\n12205 '幺' 3\n12206 '幻' 3\n12207 '幼' 3\n12208 '幽' 3\n12209 '幾' 3\n12210 '广' 3\n12211 '庁' 3\n12212 '広' 3\n12213 '庄' 3\n12214 '庆' 3\n12215 '庇' 3\n12216 '床' 3\n12217 '序' 3\n12218 '庐' 3\n12219 '库' 3\n12220 '应' 3\n12221 '底' 3\n12222 '庖' 3\n12223 '店' 3\n12224 '庙' 3\n12225 '庚' 3\n12226 '府' 3\n12227 '庞' 3\n12228 '废' 3\n12229 '庠' 3\n12230 '庥' 3\n12231 '度' 3\n12232 '座' 3\n12233 '庫' 3\n12234 '庭' 3\n12235 '庵' 3\n12236 '庶' 3\n12237 '康' 3\n12238 '庸' 3\n12239 '庾' 3\n12240 '廁' 3\n12241 '廂' 3\n12242 '廃' 3\n12243 '廈' 3\n12244 '廉' 3\n12245 '廊' 3\n12246 '廋' 3\n12247 '廓' 3\n12248 '廖' 3\n12249 '廚' 3\n12250 '廝' 3\n12251 '廟' 3\n12252 '廠' 3\n12253 '廢' 3\n12254 '廣' 3\n12255 '廪' 3\n12256 '廬' 3\n12257 '廳' 3\n12258 '延' 3\n12259 '廷' 3\n12260 '廸' 3\n12261 '建' 3\n12262 '廻' 3\n12263 '廼' 3\n12264 '廾' 3\n12265 '廿' 3\n12266 '开' 3\n12267 '弁' 3\n12268 '异' 3\n12269 '弃' 3\n12270 '弄' 3\n12271 '弈' 3\n12272 '弊' 3\n12273 '弋' 3\n12274 '弌' 3\n12275 '弍' 3\n12276 '式' 3\n12277 '弐' 3\n12278 '弑' 3\n12279 '弒' 3\n12280 '弓' 3\n12281 '弔' 3\n12282 '引' 3\n12283 '弗' 3\n12284 '弘' 3\n12285 '弛' 3\n12286 '弟' 3\n12287 '张' 3\n12288 '弢' 3\n12289 '弥' 3\n12290 '弦' 3\n12291 '弧' 3\n12292 '弩' 3\n12293 '弭' 3\n12294 '弯' 3\n12295 '弱' 3\n12296 '張' 3\n12297 '強' 3\n12298 '弹' 3\n12299 '强' 3\n12300 '弼' 3\n12301 '弾' 3\n12302 '彈' 3\n12303 '彊' 3\n12304 '彌' 3\n12305 '彎' 3\n12306 '归' 3\n12307 '当' 3\n12308 '录' 3\n12309 '彗' 3\n12310 '彘' 3\n12311 '彙' 3\n12312 '彝' 3\n12313 '彡' 3\n12314 '形' 3\n12315 '彤' 3\n12316 '彥' 3\n12317 '彦' 3\n12318 '彧' 3\n12319 '彩' 3\n12320 '彪' 3\n12321 '彫' 3\n12322 '彬' 3\n12323 '彭' 3\n12324 '彰' 3\n12325 '影' 3\n12326 '彳' 3\n12327 '彷' 3\n12328 '役' 3\n12329 '彻' 3\n12330 '彼' 3\n12331 '彿' 3\n12332 '往' 3\n12333 '征' 3\n12334 '径' 3\n12335 '待' 3\n12336 '徇' 3\n12337 '很' 3\n12338 '徉' 3\n12339 '徊' 3\n12340 '律' 3\n12341 '後' 3\n12342 '徍' 3\n12343 '徐' 3\n12344 '徑' 3\n12345 '徒' 3\n12346 '従' 3\n12347 '徕' 3\n12348 '得' 3\n12349 '徘' 3\n12350 '徙' 3\n12351 '徜' 3\n12352 '從' 3\n12353 '徠' 3\n12354 '御' 3\n12355 '徨' 3\n12356 '復' 3\n12357 '循' 3\n12358 '徭' 3\n12359 '微' 3\n12360 '徳' 3\n12361 '徴' 3\n12362 '徵' 3\n12363 '德' 3\n12364 '徹' 3\n12365 '徽' 3\n12366 '心' 3\n12367 '忄' 3\n12368 '必' 3\n12369 '忆' 3\n12370 '忌' 3\n12371 '忍' 3\n12372 '忏' 3\n12373 '忐' 3\n12374 '忑' 3\n12375 '忒' 3\n12376 '忖' 3\n12377 '志' 3\n12378 '忘' 3\n12379 '忙' 3\n12380 '応' 3\n12381 '忝' 3\n12382 '忠' 3\n12383 '忡' 3\n12384 '忤' 3\n12385 '忧' 3\n12386 '忪' 3\n12387 '快' 3\n12388 '忱' 3\n12389 '念' 3\n12390 '忸' 3\n12391 '忻' 3\n12392 '忽' 3\n12393 '忾' 3\n12394 '忿' 3\n12395 '怀' 3\n12396 '态' 3\n12397 '怂' 3\n12398 '怄' 3\n12399 '怅' 3\n12400 '怆' 3\n12401 '怎' 3\n12402 '怏' 3\n12403 '怒' 3\n12404 '怔' 3\n12405 '怕' 3\n12406 '怖' 3\n12407 '怙' 3\n12408 '怛' 3\n12409 '怜' 3\n12410 '思' 3\n12411 '怠' 3\n12412 '怡' 3\n12413 '急' 3\n12414 '怦' 3\n12415 '性' 3\n12416 '怨' 3\n12417 '怩' 3\n12418 '怪' 3\n12419 '怯' 3\n12420 '怵' 3\n12421 '总' 3\n12422 '怼' 3\n12423 '怿' 3\n12424 '恁' 3\n12425 '恂' 3\n12426 '恃' 3\n12427 '恆' 3\n12428 '恋' 3\n12429 '恍' 3\n12430 '恐' 3\n12431 '恒' 3\n12432 '恕' 3\n12433 '恙' 3\n12434 '恚' 3\n12435 '恢' 3\n12436 '恣' 3\n12437 '恤' 3\n12438 '恥' 3\n12439 '恨' 3\n12440 '恩' 3\n12441 '恪' 3\n12442 '恫' 3\n12443 '恬' 3\n12444 '恭' 3\n12445 '息' 3\n12446 '恰' 3\n12447 '恳' 3\n12448 '恵' 3\n12449 '恶' 3\n12450 '恸' 3\n12451 '恹' 3\n12452 '恺' 3\n12453 '恻' 3\n12454 '恼' 3\n12455 '恽' 3\n12456 '恿' 3\n12457 '悄' 3\n12458 '悅' 3\n12459 '悉' 3\n12460 '悌' 3\n12461 '悍' 3\n12462 '悔' 3\n12463 '悖' 3\n12464 '悚' 3\n12465 '悟' 3\n12466 '悠' 3\n12467 '患' 3\n12468 '悦' 3\n12469 '您' 3\n12470 '悩' 3\n12471 '悪' 3\n12472 '悬' 3\n12473 '悭' 3\n12474 '悯' 3\n12475 '悱' 3\n12476 '悲' 3\n12477 '悴' 3\n12478 '悵' 3\n12479 '悶' 3\n12480 '悸' 3\n12481 '悻' 3\n12482 '悼' 3\n12483 '悽' 3\n12484 '情' 3\n12485 '惆' 3\n12486 '惇' 3\n12487 '惊' 3\n12488 '惋' 3\n12489 '惑' 3\n12490 '惕' 3\n12491 '惘' 3\n12492 '惚' 3\n12493 '惜' 3\n12494 '惟' 3\n12495 '惠' 3\n12496 '惡' 3\n12497 '惣' 3\n12498 '惦' 3\n12499 '惧' 3\n12500 '惨' 3\n12501 '惩' 3\n12502 '惫' 3\n12503 '惬' 3\n12504 '惭' 3\n12505 '惮' 3\n12506 '惯' 3\n12507 '惰' 3\n12508 '惱' 3\n12509 '想' 3\n12510 '惴' 3\n12511 '惶' 3\n12512 '惹' 3\n12513 '惺' 3\n12514 '惻' 3\n12515 '愀' 3\n12516 '愁' 3\n12517 '愆' 3\n12518 '愈' 3\n12519 '愉' 3\n12520 '愍' 3\n12521 '愎' 3\n12522 '意' 3\n12523 '愔' 3\n12524 '愕' 3\n12525 '愚' 3\n12526 '愛' 3\n12527 '感' 3\n12528 '愠' 3\n12529 '愣' 3\n12530 '愤' 3\n12531 '愧' 3\n12532 '愫' 3\n12533 '愬' 3\n12534 '愰' 3\n12535 '愷' 3\n12536 '愽' 3\n12537 '愿' 3\n12538 '慄' 3\n12539 '慈' 3\n12540 '態' 3\n12541 '慌' 3\n12542 '慎' 3\n12543 '慑' 3\n12544 '慕' 3\n12545 '慘' 3\n12546 '慚' 3\n12547 '慜' 3\n12548 '慟' 3\n12549 '慢' 3\n12550 '慣' 3\n12551 '慧' 3\n12552 '慨' 3\n12553 '慫' 3\n12554 '慬' 3\n12555 '慮' 3\n12556 '慰' 3\n12557 '慳' 3\n12558 '慵' 3\n12559 '慶' 3\n12560 '慷' 3\n12561 '慾' 3\n12562 '憂' 3\n12563 '憋' 3\n12564 '憎' 3\n12565 '憐' 3\n12566 '憑' 3\n12567 '憔' 3\n12568 '憚' 3\n12569 '憤' 3\n12570 '憧' 3\n12571 '憨' 3\n12572 '憩' 3\n12573 '憬' 3\n12574 '憲' 3\n12575 '憶' 3\n12576 '憷' 3\n12577 '憾' 3\n12578 '懂' 3\n12579 '懇' 3\n12580 '懈' 3\n12581 '應' 3\n12582 '懊' 3\n12583 '懋' 3\n12584 '懐' 3\n12585 '懑' 3\n12586 '懒' 3\n12587 '懟' 3\n12588 '懦' 3\n12589 '懲' 3\n12590 '懵' 3\n12591 '懶' 3\n12592 '懷' 3\n12593 '懸' 3\n12594 '懺' 3\n12595 '懼' 3\n12596 '懿' 3\n12597 '戀' 3\n12598 '戈' 3\n12599 '戊' 3\n12600 '戌' 3\n12601 '戍' 3\n12602 '戎' 3\n12603 '戏' 3\n12604 '成' 3\n12605 '我' 3\n12606 '戒' 3\n12607 '戔' 3\n12608 '戕' 3\n12609 '或' 3\n12610 '战' 3\n12611 '戚' 3\n12612 '戛' 3\n12613 '戟' 3\n12614 '戡' 3\n12615 '戢' 3\n12616 '戦' 3\n12617 '截' 3\n12618 '戬' 3\n12619 '戮' 3\n12620 '戯' 3\n12621 '戰' 3\n12622 '戲' 3\n12623 '戳' 3\n12624 '戴' 3\n12625 '戶' 3\n12626 '户' 3\n12627 '戸' 3\n12628 '戻' 3\n12629 '戾' 3\n12630 '房' 3\n12631 '所' 3\n12632 '扁' 3\n12633 '扇' 3\n12634 '扈' 3\n12635 '扉' 3\n12636 '手' 3\n12637 '扌' 3\n12638 '才' 3\n12639 '扎' 3\n12640 '扑' 3\n12641 '扒' 3\n12642 '打' 3\n12643 '扔' 3\n12644 '払' 3\n12645 '托' 3\n12646 '扛' 3\n12647 '扣' 3\n12648 '扥' 3\n12649 '扦' 3\n12650 '执' 3\n12651 '扩' 3\n12652 '扪' 3\n12653 '扫' 3\n12654 '扬' 3\n12655 '扭' 3\n12656 '扮' 3\n12657 '扯' 3\n12658 '扰' 3\n12659 '扱' 3\n12660 '扳' 3\n12661 '扶' 3\n12662 '批' 3\n12663 '扼' 3\n12664 '找' 3\n12665 '承' 3\n12666 '技' 3\n12667 '抄' 3\n12668 '抉' 3\n12669 '把' 3\n12670 '抑' 3\n12671 '抒' 3\n12672 '抓' 3\n12673 '抔' 3\n12674 '投' 3\n12675 '抖' 3\n12676 '抗' 3\n12677 '折' 3\n12678 '抚' 3\n12679 '抛' 3\n12680 '抜' 3\n12681 '択' 3\n12682 '抟' 3\n12683 '抠' 3\n12684 '抡' 3\n12685 '抢' 3\n12686 '护' 3\n12687 '报' 3\n12688 '抨' 3\n12689 '披' 3\n12690 '抬' 3\n12691 '抱' 3\n12692 '抵' 3\n12693 '抹' 3\n12694 '抺' 3\n12695 '抻' 3\n12696 '押' 3\n12697 '抽' 3\n12698 '抿' 3\n12699 '拂' 3\n12700 '拄' 3\n12701 '担' 3\n12702 '拆' 3\n12703 '拇' 3\n12704 '拈' 3\n12705 '拉' 3\n12706 '拋' 3\n12707 '拌' 3\n12708 '拍' 3\n12709 '拎' 3\n12710 '拐' 3\n12711 '拒' 3\n12712 '拓' 3\n12713 '拔' 3\n12714 '拖' 3\n12715 '拗' 3\n12716 '拘' 3\n12717 '拙' 3\n12718 '拚' 3\n12719 '招' 3\n12720 '拜' 3\n12721 '拝' 3\n12722 '拟' 3\n12723 '拠' 3\n12724 '拡' 3\n12725 '拢' 3\n12726 '拣' 3\n12727 '拥' 3\n12728 '拦' 3\n12729 '拧' 3\n12730 '拨' 3\n12731 '择' 3\n12732 '括' 3\n12733 '拭' 3\n12734 '拮' 3\n12735 '拯' 3\n12736 '拱' 3\n12737 '拳' 3\n12738 '拴' 3\n12739 '拵' 3\n12740 '拶' 3\n12741 '拷' 3\n12742 '拼' 3\n12743 '拽' 3\n12744 '拾' 3\n12745 '拿' 3\n12746 '持' 3\n12747 '挂' 3\n12748 '指' 3\n12749 '挈' 3\n12750 '按' 3\n12751 '挎' 3\n12752 '挑' 3\n12753 '挖' 3\n12754 '挙' 3\n12755 '挚' 3\n12756 '挛' 3\n12757 '挝' 3\n12758 '挞' 3\n12759 '挟' 3\n12760 '挠' 3\n12761 '挡' 3\n12762 '挣' 3\n12763 '挤' 3\n12764 '挥' 3\n12765 '挨' 3\n12766 '挪' 3\n12767 '挫' 3\n12768 '振' 3\n12769 '挲' 3\n12770 '挹' 3\n12771 '挺' 3\n12772 '挽' 3\n12773 '挾' 3\n12774 '挿' 3\n12775 '捂' 3\n12776 '捅' 3\n12777 '捆' 3\n12778 '捉' 3\n12779 '捋' 3\n12780 '捌' 3\n12781 '捍' 3\n12782 '捎' 3\n12783 '捏' 3\n12784 '捐' 3\n12785 '捕' 3\n12786 '捗' 3\n12787 '捜' 3\n12788 '捞' 3\n12789 '损' 3\n12790 '捡' 3\n12791 '换' 3\n12792 '捣' 3\n12793 '捧' 3\n12794 '捨' 3\n12795 '捩' 3\n12796 '捭' 3\n12797 '据' 3\n12798 '捯' 3\n12799 '捱' 3\n12800 '捲' 3\n12801 '捶' 3\n12802 '捷' 3\n12803 '捺' 3\n12804 '捻' 3\n12805 '掀' 3\n12806 '掂' 3\n12807 '掃' 3\n12808 '掇' 3\n12809 '授' 3\n12810 '掉' 3\n12811 '掌' 3\n12812 '掏' 3\n12813 '掐' 3\n12814 '排' 3\n12815 '掖' 3\n12816 '掘' 3\n12817 '掙' 3\n12818 '掛' 3\n12819 '掟' 3\n12820 '掠' 3\n12821 '採' 3\n12822 '探' 3\n12823 '掣' 3\n12824 '接' 3\n12825 '控' 3\n12826 '推' 3\n12827 '掩' 3\n12828 '措' 3\n12829 '掬' 3\n12830 '掮' 3\n12831 '掰' 3\n12832 '掲' 3\n12833 '掳' 3\n12834 '掴' 3\n12835 '掷' 3\n12836 '掸' 3\n12837 '掺' 3\n12838 '掻' 3\n12839 '掼' 3\n12840 '掾' 3\n12841 '揀' 3\n12842 '揃' 3\n12843 '揄' 3\n12844 '揆' 3\n12845 '揉' 3\n12846 '揍' 3\n12847 '描' 3\n12848 '提' 3\n12849 '插' 3\n12850 '揖' 3\n12851 '揚' 3\n12852 '換' 3\n12853 '握' 3\n12854 '揣' 3\n12855 '揩' 3\n12856 '揪' 3\n12857 '揭' 3\n12858 '揮' 3\n12859 '援' 3\n12860 '揶' 3\n12861 '揸' 3\n12862 '揹' 3\n12863 '揺' 3\n12864 '揽' 3\n12865 '揾' 3\n12866 '搀' 3\n12867 '搁' 3\n12868 '搂' 3\n12869 '搅' 3\n12870 '損' 3\n12871 '搏' 3\n12872 '搐' 3\n12873 '搓' 3\n12874 '搔' 3\n12875 '搖' 3\n12876 '搗' 3\n12877 '搜' 3\n12878 '搞' 3\n12879 '搡' 3\n12880 '搧' 3\n12881 '搪' 3\n12882 '搬' 3\n12883 '搭' 3\n12884 '搴' 3\n12885 '搵' 3\n12886 '搶' 3\n12887 '携' 3\n12888 '搽' 3\n12889 '搾' 3\n12890 '摁' 3\n12891 '摂' 3\n12892 '摄' 3\n12893 '摆' 3\n12894 '摇' 3\n12895 '摊' 3\n12896 '摒' 3\n12897 '摔' 3\n12898 '摘' 3\n12899 '摞' 3\n12900 '摟' 3\n12901 '摧' 3\n12902 '摩' 3\n12903 '摯' 3\n12904 '摸' 3\n12905 '摹' 3\n12906 '摺' 3\n12907 '摻' 3\n12908 '撂' 3\n12909 '撃' 3\n12910 '撅' 3\n12911 '撇' 3\n12912 '撈' 3\n12913 '撐' 3\n12914 '撑' 3\n12915 '撒' 3\n12916 '撓' 3\n12917 '撕' 3\n12918 '撚' 3\n12919 '撞' 3\n12920 '撤' 3\n12921 '撥' 3\n12922 '撩' 3\n12923 '撫' 3\n12924 '撬' 3\n12925 '播' 3\n12926 '撮' 3\n12927 '撰' 3\n12928 '撲' 3\n12929 '撳' 3\n12930 '撵' 3\n12931 '撷' 3\n12932 '撸' 3\n12933 '撹' 3\n12934 '撺' 3\n12935 '撻' 3\n12936 '撼' 3\n12937 '撿' 3\n12938 '擀' 3\n12939 '擁' 3\n12940 '擂' 3\n12941 '擅' 3\n12942 '擇' 3\n12943 '擊' 3\n12944 '擋' 3\n12945 '操' 3\n12946 '擎' 3\n12947 '擒' 3\n12948 '擔' 3\n12949 '擘' 3\n12950 '據' 3\n12951 '擞' 3\n12952 '擠' 3\n12953 '擢' 3\n12954 '擤' 3\n12955 '擦' 3\n12956 '擧' 3\n12957 '擬' 3\n12958 '擰' 3\n12959 '擱' 3\n12960 '擲' 3\n12961 '擴' 3\n12962 '擺' 3\n12963 '擾' 3\n12964 '攀' 3\n12965 '攏' 3\n12966 '攒' 3\n12967 '攔' 3\n12968 '攘' 3\n12969 '攜' 3\n12970 '攝' 3\n12971 '攢' 3\n12972 '攣' 3\n12973 '攤' 3\n12974 '攥' 3\n12975 '攪' 3\n12976 '攫' 3\n12977 '攬' 3\n12978 '支' 3\n12979 '收' 3\n12980 '攸' 3\n12981 '改' 3\n12982 '攻' 3\n12983 '放' 3\n12984 '政' 3\n12985 '故' 3\n12986 '效' 3\n12987 '敌' 3\n12988 '敍' 3\n12989 '敎' 3\n12990 '敏' 3\n12991 '救' 3\n12992 '敕' 3\n12993 '敖' 3\n12994 '敗' 3\n12995 '敘' 3\n12996 '教' 3\n12997 '敛' 3\n12998 '敝' 3\n12999 '敞' 3\n13000 '敢' 3\n13001 '散' 3\n13002 '敦' 3\n13003 '敬' 3\n13004 '数' 3\n13005 '敲' 3\n13006 '整' 3\n13007 '敵' 3\n13008 '敷' 3\n13009 '數' 3\n13010 '斂' 3\n13011 '斃' 3\n13012 '文' 3\n13013 '斉' 3\n13014 '斋' 3\n13015 '斌' 3\n13016 '斎' 3\n13017 '斐' 3\n13018 '斑' 3\n13019 '斓' 3\n13020 '斗' 3\n13021 '料' 3\n13022 '斛' 3\n13023 '斜' 3\n13024 '斟' 3\n13025 '斡' 3\n13026 '斤' 3\n13027 '斥' 3\n13028 '斧' 3\n13029 '斩' 3\n13030 '斫' 3\n13031 '斬' 3\n13032 '断' 3\n13033 '斯' 3\n13034 '新' 3\n13035 '斷' 3\n13036 '方' 3\n13037 '於' 3\n13038 '施' 3\n13039 '旁' 3\n13040 '旂' 3\n13041 '旃' 3\n13042 '旅' 3\n13043 '旋' 3\n13044 '旌' 3\n13045 '旎' 3\n13046 '族' 3\n13047 '旒' 3\n13048 '旖' 3\n13049 '旗' 3\n13050 '旛' 3\n13051 '无' 3\n13052 '既' 3\n13053 '日' 3\n13054 '旦' 3\n13055 '旧' 3\n13056 '旨' 3\n13057 '早' 3\n13058 '旬' 3\n13059 '旭' 3\n13060 '旮' 3\n13061 '旯' 3\n13062 '旱' 3\n13063 '旳' 3\n13064 '时' 3\n13065 '旷' 3\n13066 '旸' 3\n13067 '旺' 3\n13068 '旻' 3\n13069 '旼' 3\n13070 '昀' 3\n13071 '昂' 3\n13072 '昃' 3\n13073 '昆' 3\n13074 '昇' 3\n13075 '昉' 3\n13076 '昊' 3\n13077 '昌' 3\n13078 '明' 3\n13079 '昏' 3\n13080 '易' 3\n13081 '昔' 3\n13082 '昕' 3\n13083 '昙' 3\n13084 '昝' 3\n13085 '星' 3\n13086 '映' 3\n13087 '春' 3\n13088 '昧' 3\n13089 '昨' 3\n13090 '昭' 3\n13091 '是' 3\n13092 '昱' 3\n13093 '昳' 3\n13094 '昴' 3\n13095 '昵' 3\n13096 '昶' 3\n13097 '昼' 3\n13098 '显' 3\n13099 '晁' 3\n13100 '時' 3\n13101 '晃' 3\n13102 '晄' 3\n13103 '晅' 3\n13104 '晉' 3\n13105 '晋' 3\n13106 '晌' 3\n13107 '晏' 3\n13108 '晒' 3\n13109 '晓' 3\n13110 '晔' 3\n13111 '晕' 3\n13112 '晖' 3\n13113 '晗' 3\n13114 '晙' 3\n13115 '晚' 3\n13116 '晝' 3\n13117 '晞' 3\n13118 '晟' 3\n13119 '晢' 3\n13120 '晤' 3\n13121 '晦' 3\n13122 '晧' 3\n13123 '晨' 3\n13124 '晩' 3\n13125 '普' 3\n13126 '景' 3\n13127 '晰' 3\n13128 '晳' 3\n13129 '晴' 3\n13130 '晶' 3\n13131 '晷' 3\n13132 '晸' 3\n13133 '智' 3\n13134 '晼' 3\n13135 '晾' 3\n13136 '暁' 3\n13137 '暂' 3\n13138 '暄' 3\n13139 '暇' 3\n13140 '暈' 3\n13141 '暉' 3\n13142 '暎' 3\n13143 '暐' 3\n13144 '暑' 3\n13145 '暖' 3\n13146 '暗' 3\n13147 '暘' 3\n13148 '暝' 3\n13149 '暢' 3\n13150 '暦' 3\n13151 '暧' 3\n13152 '暨' 3\n13153 '暫' 3\n13154 '暮' 3\n13155 '暱' 3\n13156 '暴' 3\n13157 '暹' 3\n13158 '暻' 3\n13159 '暼' 3\n13160 '暾' 3\n13161 '曄' 3\n13162 '曆' 3\n13163 '曇' 3\n13164 '曈' 3\n13165 '曉' 3\n13166 '曌' 3\n13167 '曖' 3\n13168 '曙' 3\n13169 '曛' 3\n13170 '曜' 3\n13171 '曝' 3\n13172 '曠' 3\n13173 '曦' 3\n13174 '曩' 3\n13175 '曬' 3\n13176 '曰' 3\n13177 '曲' 3\n13178 '曳' 3\n13179 '更' 3\n13180 '曷' 3\n13181 '書' 3\n13182 '曹' 3\n13183 '曺' 3\n13184 '曼' 3\n13185 '曽' 3\n13186 '曾' 3\n13187 '替' 3\n13188 '最' 3\n13189 '會' 3\n13190 '月' 3\n13191 '有' 3\n13192 '朋' 3\n13193 '服' 3\n13194 '朔' 3\n13195 '朕' 3\n13196 '朗' 3\n13197 '望' 3\n13198 '朝' 3\n13199 '期' 3\n13200 '朦' 3\n13201 '朧' 3\n13202 '木' 3\n13203 '未' 3\n13204 '末' 3\n13205 '本' 3\n13206 '札' 3\n13207 '朮' 3\n13208 '术' 3\n13209 '朱' 3\n13210 '朴' 3\n13211 '朵' 3\n13212 '机' 3\n13213 '朽' 3\n13214 '杀' 3\n13215 '杂' 3\n13216 '权' 3\n13217 '杆' 3\n13218 '杈' 3\n13219 '杉' 3\n13220 '杌' 3\n13221 '李' 3\n13222 '杏' 3\n13223 '材' 3\n13224 '村' 3\n13225 '杓' 3\n13226 '杖' 3\n13227 '杜' 3\n13228 '杞' 3\n13229 '束' 3\n13230 '杠' 3\n13231 '条' 3\n13232 '杢' 3\n13233 '杣' 3\n13234 '来' 3\n13235 '杨' 3\n13236 '杩' 3\n13237 '杪' 3\n13238 '杭' 3\n13239 '杯' 3\n13240 '杰' 3\n13241 '東' 3\n13242 '杲' 3\n13243 '杳' 3\n13244 '杵' 3\n13245 '杷' 3\n13246 '杼' 3\n13247 '松' 3\n13248 '板' 3\n13249 '极' 3\n13250 '构' 3\n13251 '枇' 3\n13252 '枉' 3\n13253 '枋' 3\n13254 '析' 3\n13255 '枕' 3\n13256 '林' 3\n13257 '枚' 3\n13258 '果' 3\n13259 '枝' 3\n13260 '枞' 3\n13261 '枠' 3\n13262 '枡' 3\n13263 '枢' 3\n13264 '枣' 3\n13265 '枧' 3\n13266 '枪' 3\n13267 '枫' 3\n13268 '枭' 3\n13269 '枯' 3\n13270 '枰' 3\n13271 '枱' 3\n13272 '枳' 3\n13273 '架' 3\n13274 '枷' 3\n13275 '枸' 3\n13276 '柄' 3\n13277 '柊' 3\n13278 '柏' 3\n13279 '某' 3\n13280 '柑' 3\n13281 '柒' 3\n13282 '染' 3\n13283 '柔' 3\n13284 '柘' 3\n13285 '柚' 3\n13286 '柜' 3\n13287 '柞' 3\n13288 '柠' 3\n13289 '柢' 3\n13290 '查' 3\n13291 '柩' 3\n13292 '柬' 3\n13293 '柯' 3\n13294 '柰' 3\n13295 '柱' 3\n13296 '柳' 3\n13297 '柴' 3\n13298 '柵' 3\n13299 '査' 3\n13300 '柽' 3\n13301 '柾' 3\n13302 '柿' 3\n13303 '栀' 3\n13304 '栂' 3\n13305 '栃' 3\n13306 '栄' 3\n13307 '栅' 3\n13308 '标' 3\n13309 '栈' 3\n13310 '栉' 3\n13311 '栊' 3\n13312 '栋' 3\n13313 '栎' 3\n13314 '栏' 3\n13315 '树' 3\n13316 '栓' 3\n13317 '栖' 3\n13318 '栗' 3\n13319 '栞' 3\n13320 '校' 3\n13321 '栢' 3\n13322 '栩' 3\n13323 '株' 3\n13324 '样' 3\n13325 '核' 3\n13326 '根' 3\n13327 '格' 3\n13328 '栽' 3\n13329 '栾' 3\n13330 '桀' 3\n13331 '桁' 3\n13332 '桂' 3\n13333 '桃' 3\n13334 '桅' 3\n13335 '框' 3\n13336 '案' 3\n13337 '桉' 3\n13338 '桌' 3\n13339 '桎' 3\n13340 '桐' 3\n13341 '桑' 3\n13342 '桓' 3\n13343 '桔' 3\n13344 '桖' 3\n13345 '桜' 3\n13346 '桝' 3\n13347 '桟' 3\n13348 '桠' 3\n13349 '桡' 3\n13350 '桢' 3\n13351 '档' 3\n13352 '桥' 3\n13353 '桦' 3\n13354 '桧' 3\n13355 '桨' 3\n13356 '桩' 3\n13357 '桶' 3\n13358 '桿' 3\n13359 '梁' 3\n13360 '梃' 3\n13361 '梅' 3\n13362 '梆' 3\n13363 '梏' 3\n13364 '梓' 3\n13365 '梗' 3\n13366 '梚' 3\n13367 '條' 3\n13368 '梟' 3\n13369 '梢' 3\n13370 '梦' 3\n13371 '梧' 3\n13372 '梨' 3\n13373 '梭' 3\n13374 '梯' 3\n13375 '械' 3\n13376 '梱' 3\n13377 '梳' 3\n13378 '梵' 3\n13379 '梶' 3\n13380 '梼' 3\n13381 '检' 3\n13382 '棂' 3\n13383 '棄' 3\n13384 '棉' 3\n13385 '棋' 3\n13386 '棍' 3\n13387 '棒' 3\n13388 '棕' 3\n13389 '棗' 3\n13390 '棘' 3\n13391 '棚' 3\n13392 '棟' 3\n13393 '棠' 3\n13394 '棣' 3\n13395 '棧' 3\n13396 '森' 3\n13397 '棰' 3\n13398 '棱' 3\n13399 '棲' 3\n13400 '棵' 3\n13401 '棹' 3\n13402 '棺' 3\n13403 '椀' 3\n13404 '椁' 3\n13405 '椅' 3\n13406 '椋' 3\n13407 '植' 3\n13408 '椎' 3\n13409 '椒' 3\n13410 '椚' 3\n13411 '椛' 3\n13412 '検' 3\n13413 '椤' 3\n13414 '椪' 3\n13415 '椭' 3\n13416 '椰' 3\n13417 '椴' 3\n13418 '椹' 3\n13419 '椽' 3\n13420 '椿' 3\n13421 '楂' 3\n13422 '楊' 3\n13423 '楓' 3\n13424 '楔' 3\n13425 '楚' 3\n13426 '楝' 3\n13427 '楞' 3\n13428 '楠' 3\n13429 '楡' 3\n13430 '楢' 3\n13431 '楣' 3\n13432 '楦' 3\n13433 '楨' 3\n13434 '楪' 3\n13435 '楫' 3\n13436 '業' 3\n13437 '楮' 3\n13438 '楯' 3\n13439 '極' 3\n13440 '楷' 3\n13441 '楸' 3\n13442 '楹' 3\n13443 '楼' 3\n13444 '楽' 3\n13445 '概' 3\n13446 '榄' 3\n13447 '榆' 3\n13448 '榈' 3\n13449 '榉' 3\n13450 '榊' 3\n13451 '榎' 3\n13452 '榔' 3\n13453 '榕' 3\n13454 '榖' 3\n13455 '榛' 3\n13456 '榜' 3\n13457 '榧' 3\n13458 '榨' 3\n13459 '榫' 3\n13460 '榭' 3\n13461 '榮' 3\n13462 '榴' 3\n13463 '榷' 3\n13464 '榻' 3\n13465 '槁' 3\n13466 '槃' 3\n13467 '槇' 3\n13468 '槊' 3\n13469 '構' 3\n13470 '槌' 3\n13471 '槍' 3\n13472 '槎' 3\n13473 '槐' 3\n13474 '槑' 3\n13475 '槓' 3\n13476 '様' 3\n13477 '槙' 3\n13478 '槛' 3\n13479 '槟' 3\n13480 '槡' 3\n13481 '槭' 3\n13482 '槲' 3\n13483 '槳' 3\n13484 '槻' 3\n13485 '槽' 3\n13486 '槿' 3\n13487 '樁' 3\n13488 '樂' 3\n13489 '樅' 3\n13490 '樊' 3\n13491 '樋' 3\n13492 '樑' 3\n13493 '樓' 3\n13494 '樗' 3\n13495 '樘' 3\n13496 '標' 3\n13497 '樞' 3\n13498 '樟' 3\n13499 '模' 3\n13500 '樣' 3\n13501 '樨' 3\n13502 '権' 3\n13503 '横' 3\n13504 '樫' 3\n13505 '樯' 3\n13506 '樰' 3\n13507 '樱' 3\n13508 '樵' 3\n13509 '樸' 3\n13510 '樹' 3\n13511 '樺' 3\n13512 '樽' 3\n13513 '樾' 3\n13514 '橄' 3\n13515 '橇' 3\n13516 '橈' 3\n13517 '橋' 3\n13518 '橐' 3\n13519 '橘' 3\n13520 '橙' 3\n13521 '機' 3\n13522 '橡' 3\n13523 '橦' 3\n13524 '橫' 3\n13525 '橱' 3\n13526 '橹' 3\n13527 '橼' 3\n13528 '檀' 3\n13529 '檄' 3\n13530 '檐' 3\n13531 '檔' 3\n13532 '檗' 3\n13533 '檜' 3\n13534 '檢' 3\n13535 '檩' 3\n13536 '檫' 3\n13537 '檬' 3\n13538 '檯' 3\n13539 '檳' 3\n13540 '檸' 3\n13541 '檻' 3\n13542 '櫂' 3\n13543 '櫃' 3\n13544 '櫈' 3\n13545 '櫓' 3\n13546 '櫛' 3\n13547 '櫟' 3\n13548 '櫥' 3\n13549 '櫨' 3\n13550 '櫻' 3\n13551 '欄' 3\n13552 '欅' 3\n13553 '權' 3\n13554 '欒' 3\n13555 '欖' 3\n13556 '欠' 3\n13557 '次' 3\n13558 '欢' 3\n13559 '欣' 3\n13560 '欤' 3\n13561 '欧' 3\n13562 '欲' 3\n13563 '欸' 3\n13564 '欹' 3\n13565 '欺' 3\n13566 '欽' 3\n13567 '款' 3\n13568 '歃' 3\n13569 '歆' 3\n13570 '歇' 3\n13571 '歉' 3\n13572 '歌' 3\n13573 '歎' 3\n13574 '歐' 3\n13575 '歓' 3\n13576 '歙' 3\n13577 '歛' 3\n13578 '歡' 3\n13579 '止' 3\n13580 '正' 3\n13581 '此' 3\n13582 '步' 3\n13583 '武' 3\n13584 '歧' 3\n13585 '歩' 3\n13586 '歪' 3\n13587 '歯' 3\n13588 '歲' 3\n13589 '歳' 3\n13590 '歴' 3\n13591 '歷' 3\n13592 '歸' 3\n13593 '歹' 3\n13594 '死' 3\n13595 '歼' 3\n13596 '歿' 3\n13597 '殁' 3\n13598 '殃' 3\n13599 '殄' 3\n13600 '殆' 3\n13601 '殇' 3\n13602 '殉' 3\n13603 '殊' 3\n13604 '残' 3\n13605 '殑' 3\n13606 '殒' 3\n13607 '殓' 3\n13608 '殖' 3\n13609 '殘' 3\n13610 '殚' 3\n13611 '殛' 3\n13612 '殞' 3\n13613 '殡' 3\n13614 '殤' 3\n13615 '殯' 3\n13616 '殲' 3\n13617 '殳' 3\n13618 '殴' 3\n13619 '段' 3\n13620 '殷' 3\n13621 '殺' 3\n13622 '殻' 3\n13623 '殼' 3\n13624 '殿' 3\n13625 '毀' 3\n13626 '毁' 3\n13627 '毂' 3\n13628 '毅' 3\n13629 '毆' 3\n13630 '毋' 3\n13631 '母' 3\n13632 '毎' 3\n13633 '每' 3\n13634 '毐' 3\n13635 '毒' 3\n13636 '毓' 3\n13637 '比' 3\n13638 '毕' 3\n13639 '毗' 3\n13640 '毘' 3\n13641 '毙' 3\n13642 '毛' 3\n13643 '毡' 3\n13644 '毫' 3\n13645 '毬' 3\n13646 '毯' 3\n13647 '毳' 3\n13648 '毽' 3\n13649 '氅' 3\n13650 '氈' 3\n13651 '氏' 3\n13652 '氐' 3\n13653 '民' 3\n13654 '氓' 3\n13655 '气' 3\n13656 '氖' 3\n13657 '気' 3\n13658 '氘' 3\n13659 '氚' 3\n13660 '氛' 3\n13661 '氟' 3\n13662 '氡' 3\n13663 '氢' 3\n13664 '氣' 3\n13665 '氤' 3\n13666 '氦' 3\n13667 '氧' 3\n13668 '氨' 3\n13669 '氩' 3\n13670 '氪' 3\n13671 '氫' 3\n13672 '氮' 3\n13673 '氯' 3\n13674 '氰' 3\n13675 '氲' 3\n13676 '水' 3\n13677 '氵' 3\n13678 '氷' 3\n13679 '永' 3\n13680 '氹' 3\n13681 '氾' 3\n13682 '氿' 3\n13683 '汀' 3\n13684 '汁' 3\n13685 '求' 3\n13686 '汆' 3\n13687 '汇' 3\n13688 '汉' 3\n13689 '汊' 3\n13690 '汎' 3\n13691 '汐' 3\n13692 '汕' 3\n13693 '汗' 3\n13694 '汙' 3\n13695 '汚' 3\n13696 '汛' 3\n13697 '汜' 3\n13698 '汝' 3\n13699 '汞' 3\n13700 '江' 3\n13701 '池' 3\n13702 '污' 3\n13703 '汤' 3\n13704 '汨' 3\n13705 '汩' 3\n13706 '汪' 3\n13707 '汰' 3\n13708 '汲' 3\n13709 '汴' 3\n13710 '汶' 3\n13711 '汹' 3\n13712 '決' 3\n13713 '汽' 3\n13714 '汾' 3\n13715 '沁' 3\n13716 '沂' 3\n13717 '沃' 3\n13718 '沄' 3\n13719 '沅' 3\n13720 '沆' 3\n13721 '沈' 3\n13722 '沉' 3\n13723 '沌' 3\n13724 '沏' 3\n13725 '沐' 3\n13726 '沒' 3\n13727 '沓' 3\n13728 '沔' 3\n13729 '沖' 3\n13730 '沙' 3\n13731 '沚' 3\n13732 '沛' 3\n13733 '沟' 3\n13734 '没' 3\n13735 '沢' 3\n13736 '沣' 3\n13737 '沤' 3\n13738 '沥' 3\n13739 '沦' 3\n13740 '沧' 3\n13741 '沨' 3\n13742 '沪' 3\n13743 '沫' 3\n13744 '沬' 3\n13745 '沭' 3\n13746 '沮' 3\n13747 '沱' 3\n13748 '河' 3\n13749 '沸' 3\n13750 '油' 3\n13751 '治' 3\n13752 '沼' 3\n13753 '沽' 3\n13754 '沾' 3\n13755 '沿' 3\n13756 '況' 3\n13757 '泄' 3\n13758 '泅' 3\n13759 '泉' 3\n13760 '泊' 3\n13761 '泌' 3\n13762 '泓' 3\n13763 '泔' 3\n13764 '法' 3\n13765 '泗' 3\n13766 '泛' 3\n13767 '泞' 3\n13768 '泠' 3\n13769 '泡' 3\n13770 '波' 3\n13771 '泣' 3\n13772 '泥' 3\n13773 '注' 3\n13774 '泪' 3\n13775 '泫' 3\n13776 '泮' 3\n13777 '泯' 3\n13778 '泰' 3\n13779 '泱' 3\n13780 '泳' 3\n13781 '泵' 3\n13782 '泷' 3\n13783 '泸' 3\n13784 '泺' 3\n13785 '泻' 3\n13786 '泼' 3\n13787 '泽' 3\n13788 '泾' 3\n13789 '洁' 3\n13790 '洄' 3\n13791 '洆' 3\n13792 '洇' 3\n13793 '洋' 3\n13794 '洌' 3\n13795 '洐' 3\n13796 '洒' 3\n13797 '洗' 3\n13798 '洙' 3\n13799 '洛' 3\n13800 '洞' 3\n13801 '洢' 3\n13802 '津' 3\n13803 '洧' 3\n13804 '洨' 3\n13805 '洩' 3\n13806 '洪' 3\n13807 '洮' 3\n13808 '洱' 3\n13809 '洲' 3\n13810 '洳' 3\n13811 '洵' 3\n13812 '洸' 3\n13813 '洹' 3\n13814 '洺' 3\n13815 '活' 3\n13816 '洼' 3\n13817 '洽' 3\n13818 '派' 3\n13819 '流' 3\n13820 '浃' 3\n13821 '浄' 3\n13822 '浅' 3\n13823 '浆' 3\n13824 '浇' 3\n13825 '浈' 3\n13826 '浊' 3\n13827 '测' 3\n13828 '济' 3\n13829 '浏' 3\n13830 '浐' 3\n13831 '浑' 3\n13832 '浒' 3\n13833 '浓' 3\n13834 '浔' 3\n13835 '浙' 3\n13836 '浚' 3\n13837 '浜' 3\n13838 '浠' 3\n13839 '浣' 3\n13840 '浤' 3\n13841 '浥' 3\n13842 '浦' 3\n13843 '浩' 3\n13844 '浪' 3\n13845 '浬' 3\n13846 '浮' 3\n13847 '浯' 3\n13848 '浴' 3\n13849 '海' 3\n13850 '浸' 3\n13851 '浼' 3\n13852 '涂' 3\n13853 '涅' 3\n13854 '涇' 3\n13855 '消' 3\n13856 '涉' 3\n13857 '涌' 3\n13858 '涎' 3\n13859 '涑' 3\n13860 '涒' 3\n13861 '涓' 3\n13862 '涔' 3\n13863 '涕' 3\n13864 '涙' 3\n13865 '涛' 3\n13866 '涜' 3\n13867 '涝' 3\n13868 '涞' 3\n13869 '涟' 3\n13870 '涠' 3\n13871 '涡' 3\n13872 '涣' 3\n13873 '涤' 3\n13874 '涥' 3\n13875 '润' 3\n13876 '涧' 3\n13877 '涨' 3\n13878 '涩' 3\n13879 '涪' 3\n13880 '涮' 3\n13881 '涯' 3\n13882 '液' 3\n13883 '涵' 3\n13884 '涸' 3\n13885 '涼' 3\n13886 '涿' 3\n13887 '淀' 3\n13888 '淄' 3\n13889 '淅' 3\n13890 '淆' 3\n13891 '淇' 3\n13892 '淋' 3\n13893 '淌' 3\n13894 '淏' 3\n13895 '淑' 3\n13896 '淒' 3\n13897 '淖' 3\n13898 '淘' 3\n13899 '淙' 3\n13900 '淚' 3\n13901 '淝' 3\n13902 '淞' 3\n13903 '淡' 3\n13904 '淤' 3\n13905 '淦' 3\n13906 '淨' 3\n13907 '淩' 3\n13908 '淪' 3\n13909 '淫' 3\n13910 '淬' 3\n13911 '淮' 3\n13912 '淯' 3\n13913 '深' 3\n13914 '淳' 3\n13915 '淵' 3\n13916 '混' 3\n13917 '淸' 3\n13918 '淹' 3\n13919 '淺' 3\n13920 '添' 3\n13921 '淼' 3\n13922 '渃' 3\n13923 '清' 3\n13924 '渇' 3\n13925 '済' 3\n13926 '渉' 3\n13927 '渊' 3\n13928 '渋' 3\n13929 '渌' 3\n13930 '渍' 3\n13931 '渎' 3\n13932 '渐' 3\n13933 '渓' 3\n13934 '渔' 3\n13935 '渕' 3\n13936 '渗' 3\n13937 '渚' 3\n13938 '減' 3\n13939 '渝' 3\n13940 '渟' 3\n13941 '渠' 3\n13942 '渡' 3\n13943 '渣' 3\n13944 '渤' 3\n13945 '渥' 3\n13946 '渦' 3\n13947 '温' 3\n13948 '測' 3\n13949 '渭' 3\n13950 '港' 3\n13951 '渲' 3\n13952 '渴' 3\n13953 '游' 3\n13954 '渺' 3\n13955 '渼' 3\n13956 '渾' 3\n13957 '湃' 3\n13958 '湄' 3\n13959 '湉' 3\n13960 '湊' 3\n13961 '湍' 3\n13962 '湎' 3\n13963 '湖' 3\n13964 '湘' 3\n13965 '湛' 3\n13966 '湜' 3\n13967 '湟' 3\n13968 '湧' 3\n13969 '湫' 3\n13970 '湮' 3\n13971 '湯' 3\n13972 '湲' 3\n13973 '湳' 3\n13974 '湾' 3\n13975 '湿' 3\n13976 '満' 3\n13977 '溃' 3\n13978 '溅' 3\n13979 '溉' 3\n13980 '溏' 3\n13981 '源' 3\n13982 '準' 3\n13983 '溜' 3\n13984 '溝' 3\n13985 '溟' 3\n13986 '溢' 3\n13987 '溥' 3\n13988 '溦' 3\n13989 '溧' 3\n13990 '溪' 3\n13991 '溫' 3\n13992 '溯' 3\n13993 '溱' 3\n13994 '溴' 3\n13995 '溶' 3\n13996 '溺' 3\n13997 '滁' 3\n13998 '滂' 3\n13999 '滄' 3\n14000 '滅' 3\n14001 '滇' 3\n14002 '滉' 3\n14003 '滋' 3\n14004 '滌' 3\n14005 '滑' 3\n14006 '滓' 3\n14007 '滔' 3\n14008 '滕' 3\n14009 '滘' 3\n14010 '滚' 3\n14011 '滝' 3\n14012 '滞' 3\n14013 '滟' 3\n14014 '滠' 3\n14015 '满' 3\n14016 '滢' 3\n14017 '滤' 3\n14018 '滥' 3\n14019 '滦' 3\n14020 '滨' 3\n14021 '滩' 3\n14022 '滬' 3\n14023 '滯' 3\n14024 '滲' 3\n14025 '滴' 3\n14026 '滸' 3\n14027 '滾' 3\n14028 '滿' 3\n14029 '漁' 3\n14030 '漂' 3\n14031 '漆' 3\n14032 '漉' 3\n14033 '漏' 3\n14034 '漓' 3\n14035 '演' 3\n14036 '漕' 3\n14037 '漠' 3\n14038 '漢' 3\n14039 '漣' 3\n14040 '漩' 3\n14041 '漪' 3\n14042 '漫' 3\n14043 '漬' 3\n14044 '漯' 3\n14045 '漱' 3\n14046 '漲' 3\n14047 '漳' 3\n14048 '漸' 3\n14049 '漾' 3\n14050 '漿' 3\n14051 '潆' 3\n14052 '潇' 3\n14053 '潋' 3\n14054 '潍' 3\n14055 '潑' 3\n14056 '潔' 3\n14057 '潘' 3\n14058 '潛' 3\n14059 '潜' 3\n14060 '潞' 3\n14061 '潟' 3\n14062 '潢' 3\n14063 '潤' 3\n14064 '潦' 3\n14065 '潭' 3\n14066 '潮' 3\n14067 '潰' 3\n14068 '潴' 3\n14069 '潸' 3\n14070 '潺' 3\n14071 '潼' 3\n14072 '澀' 3\n14073 '澂' 3\n14074 '澄' 3\n14075 '澆' 3\n14076 '澈' 3\n14077 '澍' 3\n14078 '澎' 3\n14079 '澐' 3\n14080 '澔' 3\n14081 '澗' 3\n14082 '澜' 3\n14083 '澡' 3\n14084 '澤' 3\n14085 '澧' 3\n14086 '澪' 3\n14087 '澱' 3\n14088 '澳' 3\n14089 '澶' 3\n14090 '澹' 3\n14091 '激' 3\n14092 '濁' 3\n14093 '濂' 3\n14094 '濃' 3\n14095 '濆' 3\n14096 '濑' 3\n14097 '濒' 3\n14098 '濕' 3\n14099 '濛' 3\n14100 '濟' 3\n14101 '濠' 3\n14102 '濡' 3\n14103 '濤' 3\n14104 '濫' 3\n14105 '濬' 3\n14106 '濮' 3\n14107 '濯' 3\n14108 '濱' 3\n14109 '濶' 3\n14110 '濺' 3\n14111 '濾' 3\n14112 '瀅' 3\n14113 '瀉' 3\n14114 '瀋' 3\n14115 '瀏' 3\n14116 '瀑' 3\n14117 '瀕' 3\n14118 '瀘' 3\n14119 '瀚' 3\n14120 '瀛' 3\n14121 '瀝' 3\n14122 '瀞' 3\n14123 '瀟' 3\n14124 '瀣' 3\n14125 '瀧' 3\n14126 '瀬' 3\n14127 '瀰' 3\n14128 '瀾' 3\n14129 '灌' 3\n14130 '灏' 3\n14131 '灑' 3\n14132 '灘' 3\n14133 '灝' 3\n14134 '灞' 3\n14135 '灣' 3\n14136 '火' 3\n14137 '灬' 3\n14138 '灭' 3\n14139 '灯' 3\n14140 '灰' 3\n14141 '灵' 3\n14142 '灶' 3\n14143 '灸' 3\n14144 '灼' 3\n14145 '災' 3\n14146 '灾' 3\n14147 '灿' 3\n14148 '炀' 3\n14149 '炁' 3\n14150 '炅' 3\n14151 '炆' 3\n14152 '炉' 3\n14153 '炊' 3\n14154 '炎' 3\n14155 '炒' 3\n14156 '炔' 3\n14157 '炕' 3\n14158 '炖' 3\n14159 '炘' 3\n14160 '炙' 3\n14161 '炜' 3\n14162 '炝' 3\n14163 '炤' 3\n14164 '炫' 3\n14165 '炬' 3\n14166 '炭' 3\n14167 '炮' 3\n14168 '炯' 3\n14169 '炳' 3\n14170 '炷' 3\n14171 '炸' 3\n14172 '点' 3\n14173 '為' 3\n14174 '炼' 3\n14175 '炽' 3\n14176 '烁' 3\n14177 '烂' 3\n14178 '烃' 3\n14179 '烈' 3\n14180 '烊' 3\n14181 '烏' 3\n14182 '烘' 3\n14183 '烙' 3\n14184 '烛' 3\n14185 '烜' 3\n14186 '烝' 3\n14187 '烟' 3\n14188 '烤' 3\n14189 '烦' 3\n14190 '烧' 3\n14191 '烨' 3\n14192 '烩' 3\n14193 '烫' 3\n14194 '烬' 3\n14195 '热' 3\n14196 '烮' 3\n14197 '烯' 3\n14198 '烷' 3\n14199 '烹' 3\n14200 '烺' 3\n14201 '烽' 3\n14202 '焄' 3\n14203 '焉' 3\n14204 '焊' 3\n14205 '焐' 3\n14206 '焓' 3\n14207 '焔' 3\n14208 '焕' 3\n14209 '焖' 3\n14210 '焗' 3\n14211 '焘' 3\n14212 '焙' 3\n14213 '焚' 3\n14214 '焜' 3\n14215 '無' 3\n14216 '焦' 3\n14217 '焯' 3\n14218 '焰' 3\n14219 '焱' 3\n14220 '焲' 3\n14221 '然' 3\n14222 '焼' 3\n14223 '煅' 3\n14224 '煇' 3\n14225 '煉' 3\n14226 '煊' 3\n14227 '煋' 3\n14228 '煌' 3\n14229 '煎' 3\n14230 '煐' 3\n14231 '煒' 3\n14232 '煕' 3\n14233 '煖' 3\n14234 '煙' 3\n14235 '煜' 3\n14236 '煞' 3\n14237 '煤' 3\n14238 '煥' 3\n14239 '煦' 3\n14240 '照' 3\n14241 '煨' 3\n14242 '煩' 3\n14243 '煬' 3\n14244 '煮' 3\n14245 '煲' 3\n14246 '煸' 3\n14247 '煽' 3\n14248 '熄' 3\n14249 '熊' 3\n14250 '熏' 3\n14251 '熒' 3\n14252 '熔' 3\n14253 '熘' 3\n14254 '熙' 3\n14255 '熜' 3\n14256 '熟' 3\n14257 '熠' 3\n14258 '熥' 3\n14259 '熨' 3\n14260 '熬' 3\n14261 '熯' 3\n14262 '熱' 3\n14263 '熵' 3\n14264 '熹' 3\n14265 '熾' 3\n14266 '燁' 3\n14267 '燃' 3\n14268 '燄' 3\n14269 '燈' 3\n14270 '燉' 3\n14271 '燊' 3\n14272 '燎' 3\n14273 '燐' 3\n14274 '燒' 3\n14275 '燔' 3\n14276 '燕' 3\n14277 '燙' 3\n14278 '燚' 3\n14279 '營' 3\n14280 '燥' 3\n14281 '燦' 3\n14282 '燧' 3\n14283 '燭' 3\n14284 '燮' 3\n14285 '燻' 3\n14286 '燼' 3\n14287 '燿' 3\n14288 '爆' 3\n14289 '爌' 3\n14290 '爍' 3\n14291 '爐' 3\n14292 '爛' 3\n14293 '爝' 3\n14294 '爨' 3\n14295 '爪' 3\n14296 '爬' 3\n14297 '爭' 3\n14298 '爰' 3\n14299 '爱' 3\n14300 '爲' 3\n14301 '爵' 3\n14302 '父' 3\n14303 '爷' 3\n14304 '爸' 3\n14305 '爹' 3\n14306 '爺' 3\n14307 '爻' 3\n14308 '爽' 3\n14309 '爾' 3\n14310 '爿' 3\n14311 '牀' 3\n14312 '牆' 3\n14313 '片' 3\n14314 '版' 3\n14315 '牌' 3\n14316 '牍' 3\n14317 '牒' 3\n14318 '牖' 3\n14319 '牙' 3\n14320 '牛' 3\n14321 '牝' 3\n14322 '牟' 3\n14323 '牠' 3\n14324 '牡' 3\n14325 '牢' 3\n14326 '牦' 3\n14327 '牧' 3\n14328 '物' 3\n14329 '牯' 3\n14330 '牲' 3\n14331 '牵' 3\n14332 '特' 3\n14333 '牺' 3\n14334 '牽' 3\n14335 '犀' 3\n14336 '犁' 3\n14337 '犄' 3\n14338 '犇' 3\n14339 '犊' 3\n14340 '犍' 3\n14341 '犒' 3\n14342 '犟' 3\n14343 '犢' 3\n14344 '犧' 3\n14345 '犬' 3\n14346 '犭' 3\n14347 '犯' 3\n14348 '犴' 3\n14349 '状' 3\n14350 '犷' 3\n14351 '犸' 3\n14352 '犹' 3\n14353 '犼' 3\n14354 '犽' 3\n14355 '狀' 3\n14356 '狂' 3\n14357 '狄' 3\n14358 '狈' 3\n14359 '狍' 3\n14360 '狎' 3\n14361 '狐' 3\n14362 '狒' 3\n14363 '狗' 3\n14364 '狙' 3\n14365 '狛' 3\n14366 '狞' 3\n14367 '狠' 3\n14368 '狡' 3\n14369 '狩' 3\n14370 '独' 3\n14371 '狭' 3\n14372 '狮' 3\n14373 '狰' 3\n14374 '狱' 3\n14375 '狲' 3\n14376 '狴' 3\n14377 '狷' 3\n14378 '狸' 3\n14379 '狹' 3\n14380 '狻' 3\n14381 '狼' 3\n14382 '猁' 3\n14383 '猊' 3\n14384 '猎' 3\n14385 '猕' 3\n14386 '猖' 3\n14387 '猗' 3\n14388 '猛' 3\n14389 '猜' 3\n14390 '猝' 3\n14391 '猞' 3\n14392 '猟' 3\n14393 '猡' 3\n14394 '猢' 3\n14395 '猥' 3\n14396 '猩' 3\n14397 '猪' 3\n14398 '猫' 3\n14399 '猬' 3\n14400 '献' 3\n14401 '猴' 3\n14402 '猶' 3\n14403 '猷' 3\n14404 '猹' 3\n14405 '猾' 3\n14406 '猿' 3\n14407 '獄' 3\n14408 '獅' 3\n14409 '獎' 3\n14410 '獏' 3\n14411 '獐' 3\n14412 '獒' 3\n14413 '獗' 3\n14414 '獠' 3\n14415 '獣' 3\n14416 '獨' 3\n14417 '獬' 3\n14418 '獭' 3\n14419 '獲' 3\n14420 '獵' 3\n14421 '獸' 3\n14422 '獺' 3\n14423 '獻' 3\n14424 '獾' 3\n14425 '玄' 3\n14426 '率' 3\n14427 '玉' 3\n14428 '王' 3\n14429 '玎' 3\n14430 '玏' 3\n14431 '玑' 3\n14432 '玖' 3\n14433 '玘' 3\n14434 '玛' 3\n14435 '玟' 3\n14436 '玠' 3\n14437 '玢' 3\n14438 '玥' 3\n14439 '玦' 3\n14440 '玧' 3\n14441 '玨' 3\n14442 '玩' 3\n14443 '玫' 3\n14444 '玮' 3\n14445 '环' 3\n14446 '现' 3\n14447 '玲' 3\n14448 '玳' 3\n14449 '玷' 3\n14450 '玹' 3\n14451 '玺' 3\n14452 '玻' 3\n14453 '珀' 3\n14454 '珂' 3\n14455 '珃' 3\n14456 '珅' 3\n14457 '珈' 3\n14458 '珉' 3\n14459 '珊' 3\n14460 '珍' 3\n14461 '珏' 3\n14462 '珐' 3\n14463 '珑' 3\n14464 '珒' 3\n14465 '珙' 3\n14466 '珝' 3\n14467 '珞' 3\n14468 '珠' 3\n14469 '珣' 3\n14470 '珥' 3\n14471 '珧' 3\n14472 '珩' 3\n14473 '珪' 3\n14474 '班' 3\n14475 '珮' 3\n14476 '珰' 3\n14477 '珲' 3\n14478 '珵' 3\n14479 '珹' 3\n14480 '珺' 3\n14481 '珽' 3\n14482 '現' 3\n14483 '琀' 3\n14484 '球' 3\n14485 '琅' 3\n14486 '理' 3\n14487 '琇' 3\n14488 '琉' 3\n14489 '琊' 3\n14490 '琋' 3\n14491 '琍' 3\n14492 '琏' 3\n14493 '琐' 3\n14494 '琚' 3\n14495 '琛' 3\n14496 '琢' 3\n14497 '琤' 3\n14498 '琥' 3\n14499 '琦' 3\n14500 '琨' 3\n14501 '琪' 3\n14502 '琬' 3\n14503 '琮' 3\n14504 '琯' 3\n14505 '琰' 3\n14506 '琲' 3\n14507 '琳' 3\n14508 '琴' 3\n14509 '琵' 3\n14510 '琶' 3\n14511 '琼' 3\n14512 '瑀' 3\n14513 '瑁' 3\n14514 '瑄' 3\n14515 '瑆' 3\n14516 '瑋' 3\n14517 '瑕' 3\n14518 '瑗' 3\n14519 '瑙' 3\n14520 '瑚' 3\n14521 '瑛' 3\n14522 '瑜' 3\n14523 '瑞' 3\n14524 '瑟' 3\n14525 '瑠' 3\n14526 '瑢' 3\n14527 '瑣' 3\n14528 '瑤' 3\n14529 '瑥' 3\n14530 '瑧' 3\n14531 '瑨' 3\n14532 '瑩' 3\n14533 '瑪' 3\n14534 '瑭' 3\n14535 '瑯' 3\n14536 '瑰' 3\n14537 '瑱' 3\n14538 '瑶' 3\n14539 '瑷' 3\n14540 '瑾' 3\n14541 '璀' 3\n14542 '璁' 3\n14543 '璃' 3\n14544 '璇' 3\n14545 '璋' 3\n14546 '璎' 3\n14547 '璐' 3\n14548 '璘' 3\n14549 '璜' 3\n14550 '璞' 3\n14551 '璟' 3\n14552 '璠' 3\n14553 '璧' 3\n14554 '璨' 3\n14555 '璩' 3\n14556 '璫' 3\n14557 '環' 3\n14558 '璺' 3\n14559 '璽' 3\n14560 '璿' 3\n14561 '瓊' 3\n14562 '瓏' 3\n14563 '瓒' 3\n14564 '瓜' 3\n14565 '瓠' 3\n14566 '瓢' 3\n14567 '瓣' 3\n14568 '瓤' 3\n14569 '瓦' 3\n14570 '瓮' 3\n14571 '瓯' 3\n14572 '瓴' 3\n14573 '瓶' 3\n14574 '瓷' 3\n14575 '甄' 3\n14576 '甍' 3\n14577 '甑' 3\n14578 '甕' 3\n14579 '甘' 3\n14580 '甙' 3\n14581 '甚' 3\n14582 '甜' 3\n14583 '生' 3\n14584 '產' 3\n14585 '産' 3\n14586 '甤' 3\n14587 '甥' 3\n14588 '甦' 3\n14589 '用' 3\n14590 '甩' 3\n14591 '甪' 3\n14592 '甫' 3\n14593 '甬' 3\n14594 '甭' 3\n14595 '甯' 3\n14596 '田' 3\n14597 '由' 3\n14598 '甲' 3\n14599 '申' 3\n14600 '电' 3\n14601 '男' 3\n14602 '甸' 3\n14603 '町' 3\n14604 '画' 3\n14605 '甾' 3\n14606 '畀' 3\n14607 '畅' 3\n14608 '畈' 3\n14609 '畋' 3\n14610 '界' 3\n14611 '畏' 3\n14612 '畑' 3\n14613 '畔' 3\n14614 '留' 3\n14615 '畜' 3\n14616 '畝' 3\n14617 '畠' 3\n14618 '畢' 3\n14619 '略' 3\n14620 '畦' 3\n14621 '番' 3\n14622 '畫' 3\n14623 '異' 3\n14624 '畲' 3\n14625 '畳' 3\n14626 '畴' 3\n14627 '當' 3\n14628 '畸' 3\n14629 '畹' 3\n14630 '畿' 3\n14631 '疃' 3\n14632 '疆' 3\n14633 '疇' 3\n14634 '疊' 3\n14635 '疋' 3\n14636 '疎' 3\n14637 '疏' 3\n14638 '疑' 3\n14639 '疔' 3\n14640 '疖' 3\n14641 '疗' 3\n14642 '疙' 3\n14643 '疚' 3\n14644 '疝' 3\n14645 '疟' 3\n14646 '疡' 3\n14647 '疣' 3\n14648 '疤' 3\n14649 '疥' 3\n14650 '疫' 3\n14651 '疮' 3\n14652 '疯' 3\n14653 '疱' 3\n14654 '疲' 3\n14655 '疳' 3\n14656 '疵' 3\n14657 '疹' 3\n14658 '疼' 3\n14659 '疽' 3\n14660 '疾' 3\n14661 '痂' 3\n14662 '病' 3\n14663 '症' 3\n14664 '痈' 3\n14665 '痉' 3\n14666 '痊' 3\n14667 '痍' 3\n14668 '痒' 3\n14669 '痔' 3\n14670 '痕' 3\n14671 '痘' 3\n14672 '痙' 3\n14673 '痛' 3\n14674 '痞' 3\n14675 '痠' 3\n14676 '痢' 3\n14677 '痣' 3\n14678 '痧' 3\n14679 '痨' 3\n14680 '痩' 3\n14681 '痪' 3\n14682 '痫' 3\n14683 '痰' 3\n14684 '痱' 3\n14685 '痲' 3\n14686 '痴' 3\n14687 '痹' 3\n14688 '痺' 3\n14689 '痿' 3\n14690 '瘀' 3\n14691 '瘁' 3\n14692 '瘆' 3\n14693 '瘋' 3\n14694 '瘌' 3\n14695 '瘍' 3\n14696 '瘘' 3\n14697 '瘙' 3\n14698 '瘟' 3\n14699 '瘠' 3\n14700 '瘡' 3\n14701 '瘤' 3\n14702 '瘦' 3\n14703 '瘩' 3\n14704 '瘪' 3\n14705 '瘫' 3\n14706 '瘴' 3\n14707 '瘸' 3\n14708 '瘾' 3\n14709 '療' 3\n14710 '癇' 3\n14711 '癌' 3\n14712 '癒' 3\n14713 '癔' 3\n14714 '癖' 3\n14715 '癞' 3\n14716 '癟' 3\n14717 '癡' 3\n14718 '癢' 3\n14719 '癣' 3\n14720 '癥' 3\n14721 '癩' 3\n14722 '癫' 3\n14723 '癬' 3\n14724 '癮' 3\n14725 '癱' 3\n14726 '癲' 3\n14727 '癸' 3\n14728 '発' 3\n14729 '登' 3\n14730 '發' 3\n14731 '白' 3\n14732 '百' 3\n14733 '皂' 3\n14734 '的' 3\n14735 '皆' 3\n14736 '皇' 3\n14737 '皈' 3\n14738 '皋' 3\n14739 '皎' 3\n14740 '皐' 3\n14741 '皑' 3\n14742 '皓' 3\n14743 '皖' 3\n14744 '皙' 3\n14745 '皛' 3\n14746 '皮' 3\n14747 '皱' 3\n14748 '皲' 3\n14749 '皴' 3\n14750 '皺' 3\n14751 '皿' 3\n14752 '盂' 3\n14753 '盃' 3\n14754 '盅' 3\n14755 '盆' 3\n14756 '盈' 3\n14757 '益' 3\n14758 '盍' 3\n14759 '盎' 3\n14760 '盏' 3\n14761 '盐' 3\n14762 '监' 3\n14763 '盒' 3\n14764 '盔' 3\n14765 '盖' 3\n14766 '盗' 3\n14767 '盘' 3\n14768 '盛' 3\n14769 '盜' 3\n14770 '盞' 3\n14771 '盟' 3\n14772 '盡' 3\n14773 '監' 3\n14774 '盤' 3\n14775 '盥' 3\n14776 '盧' 3\n14777 '盪' 3\n14778 '目' 3\n14779 '盯' 3\n14780 '盲' 3\n14781 '直' 3\n14782 '相' 3\n14783 '盹' 3\n14784 '盼' 3\n14785 '盾' 3\n14786 '眀' 3\n14787 '省' 3\n14788 '眇' 3\n14789 '眈' 3\n14790 '眉' 3\n14791 '看' 3\n14792 '県' 3\n14793 '眞' 3\n14794 '真' 3\n14795 '眠' 3\n14796 '眦' 3\n14797 '眨' 3\n14798 '眩' 3\n14799 '眬' 3\n14800 '眭' 3\n14801 '眯' 3\n14802 '眶' 3\n14803 '眷' 3\n14804 '眸' 3\n14805 '眺' 3\n14806 '眼' 3\n14807 '眾' 3\n14808 '着' 3\n14809 '睁' 3\n14810 '睇' 3\n14811 '睏' 3\n14812 '睐' 3\n14813 '睑' 3\n14814 '睚' 3\n14815 '睛' 3\n14816 '睜' 3\n14817 '睡' 3\n14818 '睢' 3\n14819 '督' 3\n14820 '睥' 3\n14821 '睦' 3\n14822 '睨' 3\n14823 '睫' 3\n14824 '睬' 3\n14825 '睹' 3\n14826 '睺' 3\n14827 '睽' 3\n14828 '睾' 3\n14829 '睿' 3\n14830 '瞄' 3\n14831 '瞅' 3\n14832 '瞇' 3\n14833 '瞋' 3\n14834 '瞌' 3\n14835 '瞎' 3\n14836 '瞑' 3\n14837 '瞒' 3\n14838 '瞞' 3\n14839 '瞟' 3\n14840 '瞠' 3\n14841 '瞥' 3\n14842 '瞧' 3\n14843 '瞩' 3\n14844 '瞪' 3\n14845 '瞬' 3\n14846 '瞭' 3\n14847 '瞰' 3\n14848 '瞳' 3\n14849 '瞻' 3\n14850 '瞼' 3\n14851 '瞽' 3\n14852 '瞿' 3\n14853 '矅' 3\n14854 '矇' 3\n14855 '矍' 3\n14856 '矗' 3\n14857 '矚' 3\n14858 '矛' 3\n14859 '矜' 3\n14860 '矢' 3\n14861 '矣' 3\n14862 '知' 3\n14863 '矩' 3\n14864 '矫' 3\n14865 '矬' 3\n14866 '短' 3\n14867 '矮' 3\n14868 '矯' 3\n14869 '石' 3\n14870 '矶' 3\n14871 '矽' 3\n14872 '矾' 3\n14873 '矿' 3\n14874 '砀' 3\n14875 '码' 3\n14876 '砂' 3\n14877 '砌' 3\n14878 '砍' 3\n14879 '砒' 3\n14880 '研' 3\n14881 '砕' 3\n14882 '砖' 3\n14883 '砚' 3\n14884 '砜' 3\n14885 '砝' 3\n14886 '砟' 3\n14887 '砣' 3\n14888 '砥' 3\n14889 '砦' 3\n14890 '砧' 3\n14891 '砭' 3\n14892 '砰' 3\n14893 '砲' 3\n14894 '破' 3\n14895 '砵' 3\n14896 '砷' 3\n14897 '砸' 3\n14898 '砺' 3\n14899 '砻' 3\n14900 '砼' 3\n14901 '砾' 3\n14902 '础' 3\n14903 '硅' 3\n14904 '硌' 3\n14905 '硏' 3\n14906 '硐' 3\n14907 '硒' 3\n14908 '硕' 3\n14909 '硖' 3\n14910 '硚' 3\n14911 '硝' 3\n14912 '硫' 3\n14913 '硬' 3\n14914 '确' 3\n14915 '硯' 3\n14916 '硷' 3\n14917 '硼' 3\n14918 '硿' 3\n14919 '碁' 3\n14920 '碇' 3\n14921 '碉' 3\n14922 '碌' 3\n14923 '碍' 3\n14924 '碎' 3\n14925 '碑' 3\n14926 '碓' 3\n14927 '碗' 3\n14928 '碘' 3\n14929 '碛' 3\n14930 '碜' 3\n14931 '碟' 3\n14932 '碣' 3\n14933 '碧' 3\n14934 '碩' 3\n14935 '碰' 3\n14936 '碱' 3\n14937 '碲' 3\n14938 '碳' 3\n14939 '碴' 3\n14940 '確' 3\n14941 '碼' 3\n14942 '碾' 3\n14943 '磁' 3\n14944 '磅' 3\n14945 '磊' 3\n14946 '磋' 3\n14947 '磐' 3\n14948 '磔' 3\n14949 '磕' 3\n14950 '磚' 3\n14951 '磡' 3\n14952 '磨' 3\n14953 '磬' 3\n14954 '磯' 3\n14955 '磴' 3\n14956 '磷' 3\n14957 '磺' 3\n14958 '礁' 3\n14959 '礎' 3\n14960 '礒' 3\n14961 '礙' 3\n14962 '礦' 3\n14963 '礪' 3\n14964 '礫' 3\n14965 '礴' 3\n14966 '示' 3\n14967 '礻' 3\n14968 '礼' 3\n14969 '礽' 3\n14970 '社' 3\n14971 '祀' 3\n14972 '祁' 3\n14973 '祂' 3\n14974 '祇' 3\n14975 '祈' 3\n14976 '祉' 3\n14977 '祎' 3\n14978 '祐' 3\n14979 '祓' 3\n14980 '祕' 3\n14981 '祖' 3\n14982 '祗' 3\n14983 '祚' 3\n14984 '祛' 3\n14985 '祜' 3\n14986 '祝' 3\n14987 '神' 3\n14988 '祟' 3\n14989 '祠' 3\n14990 '祢' 3\n14991 '祤' 3\n14992 '祥' 3\n14993 '票' 3\n14994 '祭' 3\n14995 '祯' 3\n14996 '祷' 3\n14997 '祸' 3\n14998 '祺' 3\n14999 '祼' 3\n15000 '祿' 3\n15001 '禀' 3\n15002 '禁' 3\n15003 '禄' 3\n15004 '禅' 3\n15005 '禇' 3\n15006 '禊' 3\n15007 '禍' 3\n15008 '禎' 3\n15009 '福' 3\n15010 '禑' 3\n15011 '禛' 3\n15012 '禟' 3\n15013 '禦' 3\n15014 '禧' 3\n15015 '禩' 3\n15016 '禪' 3\n15017 '禮' 3\n15018 '禰' 3\n15019 '禱' 3\n15020 '禳' 3\n15021 '禹' 3\n15022 '禺' 3\n15023 '离' 3\n15024 '禽' 3\n15025 '禾' 3\n15026 '禿' 3\n15027 '秀' 3\n15028 '私' 3\n15029 '秃' 3\n15030 '秆' 3\n15031 '秉' 3\n15032 '秋' 3\n15033 '种' 3\n15034 '科' 3\n15035 '秒' 3\n15036 '秘' 3\n15037 '租' 3\n15038 '秣' 3\n15039 '秤' 3\n15040 '秦' 3\n15041 '秧' 3\n15042 '秩' 3\n15043 '积' 3\n15044 '称' 3\n15045 '秸' 3\n15046 '移' 3\n15047 '秽' 3\n15048 '秾' 3\n15049 '稀' 3\n15050 '稅' 3\n15051 '稈' 3\n15052 '程' 3\n15053 '稍' 3\n15054 '税' 3\n15055 '稔' 3\n15056 '稗' 3\n15057 '稚' 3\n15058 '稜' 3\n15059 '稞' 3\n15060 '稟' 3\n15061 '稠' 3\n15062 '稣' 3\n15063 '種' 3\n15064 '稱' 3\n15065 '稲' 3\n15066 '稳' 3\n15067 '稷' 3\n15068 '稹' 3\n15069 '稻' 3\n15070 '稼' 3\n15071 '稽' 3\n15072 '稿' 3\n15073 '穀' 3\n15074 '穂' 3\n15075 '穆' 3\n15076 '穌' 3\n15077 '積' 3\n15078 '穎' 3\n15079 '穏' 3\n15080 '穗' 3\n15081 '穢' 3\n15082 '穣' 3\n15083 '穩' 3\n15084 '穫' 3\n15085 '穰' 3\n15086 '穴' 3\n15087 '究' 3\n15088 '穷' 3\n15089 '穹' 3\n15090 '空' 3\n15091 '穿' 3\n15092 '突' 3\n15093 '窃' 3\n15094 '窄' 3\n15095 '窈' 3\n15096 '窍' 3\n15097 '窑' 3\n15098 '窒' 3\n15099 '窓' 3\n15100 '窕' 3\n15101 '窖' 3\n15102 '窗' 3\n15103 '窘' 3\n15104 '窜' 3\n15105 '窝' 3\n15106 '窟' 3\n15107 '窠' 3\n15108 '窣' 3\n15109 '窥' 3\n15110 '窦' 3\n15111 '窩' 3\n15112 '窪' 3\n15113 '窮' 3\n15114 '窯' 3\n15115 '窸' 3\n15116 '窺' 3\n15117 '窿' 3\n15118 '竄' 3\n15119 '竅' 3\n15120 '竇' 3\n15121 '竈' 3\n15122 '竊' 3\n15123 '立' 3\n15124 '竑' 3\n15125 '竖' 3\n15126 '站' 3\n15127 '竜' 3\n15128 '竝' 3\n15129 '竞' 3\n15130 '竟' 3\n15131 '章' 3\n15132 '竣' 3\n15133 '童' 3\n15134 '竦' 3\n15135 '竪' 3\n15136 '竭' 3\n15137 '端' 3\n15138 '競' 3\n15139 '竹' 3\n15140 '竺' 3\n15141 '竽' 3\n15142 '竿' 3\n15143 '笃' 3\n15144 '笄' 3\n15145 '笆' 3\n15146 '笈' 3\n15147 '笋' 3\n15148 '笏' 3\n15149 '笑' 3\n15150 '笔' 3\n15151 '笕' 3\n15152 '笙' 3\n15153 '笛' 3\n15154 '笞' 3\n15155 '笠' 3\n15156 '笤' 3\n15157 '笥' 3\n15158 '符' 3\n15159 '笨' 3\n15160 '笪' 3\n15161 '笫' 3\n15162 '第' 3\n15163 '笳' 3\n15164 '笹' 3\n15165 '笺' 3\n15166 '笼' 3\n15167 '筆' 3\n15168 '筈' 3\n15169 '等' 3\n15170 '筊' 3\n15171 '筋' 3\n15172 '筌' 3\n15173 '筍' 3\n15174 '筏' 3\n15175 '筐' 3\n15176 '筑' 3\n15177 '筒' 3\n15178 '答' 3\n15179 '策' 3\n15180 '筛' 3\n15181 '筝' 3\n15182 '筠' 3\n15183 '筧' 3\n15184 '筮' 3\n15185 '筱' 3\n15186 '筵' 3\n15187 '筷' 3\n15188 '筹' 3\n15189 '签' 3\n15190 '简' 3\n15191 '箇' 3\n15192 '箋' 3\n15193 '箍' 3\n15194 '箏' 3\n15195 '箐' 3\n15196 '箒' 3\n15197 '箓' 3\n15198 '箔' 3\n15199 '箕' 3\n15200 '算' 3\n15201 '箜' 3\n15202 '管' 3\n15203 '箧' 3\n15204 '箩' 3\n15205 '箪' 3\n15206 '箫' 3\n15207 '箬' 3\n15208 '箭' 3\n15209 '箱' 3\n15210 '箴' 3\n15211 '箸' 3\n15212 '節' 3\n15213 '篁' 3\n15214 '範' 3\n15215 '篆' 3\n15216 '篇' 3\n15217 '築' 3\n15218 '篋' 3\n15219 '篌' 3\n15220 '篑' 3\n15221 '篓' 3\n15222 '篙' 3\n15223 '篝' 3\n15224 '篠' 3\n15225 '篡' 3\n15226 '篤' 3\n15227 '篦' 3\n15228 '篩' 3\n15229 '篭' 3\n15230 '篮' 3\n15231 '篱' 3\n15232 '篷' 3\n15233 '篾' 3\n15234 '簇' 3\n15235 '簋' 3\n15236 '簌' 3\n15237 '簍' 3\n15238 '簑' 3\n15239 '簟' 3\n15240 '簡' 3\n15241 '簧' 3\n15242 '簪' 3\n15243 '簫' 3\n15244 '簷' 3\n15245 '簸' 3\n15246 '簽' 3\n15247 '簾' 3\n15248 '簿' 3\n15249 '籁' 3\n15250 '籃' 3\n15251 '籌' 3\n15252 '籍' 3\n15253 '籐' 3\n15254 '籔' 3\n15255 '籟' 3\n15256 '籠' 3\n15257 '籤' 3\n15258 '籬' 3\n15259 '籲' 3\n15260 '米' 3\n15261 '类' 3\n15262 '籽' 3\n15263 '籾' 3\n15264 '粉' 3\n15265 '粋' 3\n15266 '粑' 3\n15267 '粒' 3\n15268 '粕' 3\n15269 '粗' 3\n15270 '粘' 3\n15271 '粛' 3\n15272 '粝' 3\n15273 '粟' 3\n15274 '粢' 3\n15275 '粤' 3\n15276 '粥' 3\n15277 '粧' 3\n15278 '粪' 3\n15279 '粮' 3\n15280 '粱' 3\n15281 '粲' 3\n15282 '粳' 3\n15283 '粵' 3\n15284 '粹' 3\n15285 '粼' 3\n15286 '粽' 3\n15287 '精' 3\n15288 '粿' 3\n15289 '糀' 3\n15290 '糅' 3\n15291 '糊' 3\n15292 '糍' 3\n15293 '糕' 3\n15294 '糖' 3\n15295 '糗' 3\n15296 '糙' 3\n15297 '糜' 3\n15298 '糞' 3\n15299 '糟' 3\n15300 '糠' 3\n15301 '糧' 3\n15302 '糯' 3\n15303 '糸' 3\n15304 '系' 3\n15305 '糾' 3\n15306 '紀' 3\n15307 '紂' 3\n15308 '約' 3\n15309 '紅' 3\n15310 '紈' 3\n15311 '紊' 3\n15312 '紋' 3\n15313 '納' 3\n15314 '紐' 3\n15315 '紓' 3\n15316 '純' 3\n15317 '紕' 3\n15318 '紗' 3\n15319 '紘' 3\n15320 '紙' 3\n15321 '級' 3\n15322 '紛' 3\n15323 '素' 3\n15324 '紡' 3\n15325 '索' 3\n15326 '紧' 3\n15327 '紫' 3\n15328 '紬' 3\n15329 '紮' 3\n15330 '累' 3\n15331 '細' 3\n15332 '紳' 3\n15333 '紹' 3\n15334 '紺' 3\n15335 '終' 3\n15336 '絃' 3\n15337 '組' 3\n15338 '絆' 3\n15339 '経' 3\n15340 '結' 3\n15341 '絔' 3\n15342 '絕' 3\n15343 '絜' 3\n15344 '絞' 3\n15345 '絡' 3\n15346 '絢' 3\n15347 '絣' 3\n15348 '給' 3\n15349 '絨' 3\n15350 '絮' 3\n15351 '統' 3\n15352 '絲' 3\n15353 '絳' 3\n15354 '絵' 3\n15355 '絶' 3\n15356 '絹' 3\n15357 '綁' 3\n15358 '綉' 3\n15359 '綏' 3\n15360 '綑' 3\n15361 '經' 3\n15362 '継' 3\n15363 '続' 3\n15364 '綜' 3\n15365 '綠' 3\n15366 '綢' 3\n15367 '綣' 3\n15368 '綦' 3\n15369 '綩' 3\n15370 '綫' 3\n15371 '綬' 3\n15372 '維' 3\n15373 '綱' 3\n15374 '網' 3\n15375 '綴' 3\n15376 '綵' 3\n15377 '綸' 3\n15378 '綺' 3\n15379 '綻' 3\n15380 '綽' 3\n15381 '綾' 3\n15382 '綿' 3\n15383 '緊' 3\n15384 '緋' 3\n15385 '総' 3\n15386 '緑' 3\n15387 '緒' 3\n15388 '緖' 3\n15389 '線' 3\n15390 '緝' 3\n15391 '緞' 3\n15392 '締' 3\n15393 '緣' 3\n15394 '編' 3\n15395 '緩' 3\n15396 '緬' 3\n15397 '緯' 3\n15398 '練' 3\n15399 '緻' 3\n15400 '縁' 3\n15401 '縄' 3\n15402 '縈' 3\n15403 '縛' 3\n15404 '縞' 3\n15405 '縣' 3\n15406 '縦' 3\n15407 '縫' 3\n15408 '縮' 3\n15409 '縱' 3\n15410 '縷' 3\n15411 '縹' 3\n15412 '總' 3\n15413 '績' 3\n15414 '繁' 3\n15415 '繃' 3\n15416 '繆' 3\n15417 '繇' 3\n15418 '繊' 3\n15419 '繋' 3\n15420 '繍' 3\n15421 '織' 3\n15422 '繕' 3\n15423 '繚' 3\n15424 '繞' 3\n15425 '繡' 3\n15426 '繩' 3\n15427 '繪' 3\n15428 '繫' 3\n15429 '繭' 3\n15430 '繰' 3\n15431 '繳' 3\n15432 '繹' 3\n15433 '繼' 3\n15434 '繽' 3\n15435 '纂' 3\n15436 '續' 3\n15437 '纍' 3\n15438 '纏' 3\n15439 '纓' 3\n15440 '纔' 3\n15441 '纖' 3\n15442 '纛' 3\n15443 '纜' 3\n15444 '纠' 3\n15445 '纡' 3\n15446 '红' 3\n15447 '纣' 3\n15448 '纤' 3\n15449 '纥' 3\n15450 '约' 3\n15451 '级' 3\n15452 '纨' 3\n15453 '纪' 3\n15454 '纫' 3\n15455 '纬' 3\n15456 '纭' 3\n15457 '纮' 3\n15458 '纯' 3\n15459 '纰' 3\n15460 '纱' 3\n15461 '纲' 3\n15462 '纳' 3\n15463 '纵' 3\n15464 '纶' 3\n15465 '纷' 3\n15466 '纸' 3\n15467 '纹' 3\n15468 '纺' 3\n15469 '纽' 3\n15470 '纾' 3\n15471 '线' 3\n15472 '绀' 3\n15473 '绁' 3\n15474 '绂' 3\n15475 '练' 3\n15476 '组' 3\n15477 '绅' 3\n15478 '细' 3\n15479 '织' 3\n15480 '终' 3\n15481 '绉' 3\n15482 '绊' 3\n15483 '绌' 3\n15484 '绍' 3\n15485 '绎' 3\n15486 '经' 3\n15487 '绑' 3\n15488 '绒' 3\n15489 '结' 3\n15490 '绔' 3\n15491 '绕' 3\n15492 '绗' 3\n15493 '绘' 3\n15494 '给' 3\n15495 '绚' 3\n15496 '绛' 3\n15497 '络' 3\n15498 '绝' 3\n15499 '绞' 3\n15500 '统' 3\n15501 '绠' 3\n15502 '绡' 3\n15503 '绢' 3\n15504 '绣' 3\n15505 '绥' 3\n15506 '绦' 3\n15507 '继' 3\n15508 '绩' 3\n15509 '绪' 3\n15510 '绫' 3\n15511 '续' 3\n15512 '绮' 3\n15513 '绯' 3\n15514 '绰' 3\n15515 '绳' 3\n15516 '维' 3\n15517 '绵' 3\n15518 '绶' 3\n15519 '绷' 3\n15520 '绸' 3\n15521 '绺' 3\n15522 '绻' 3\n15523 '综' 3\n15524 '绽' 3\n15525 '绾' 3\n15526 '绿' 3\n15527 '缀' 3\n15528 '缁' 3\n15529 '缂' 3\n15530 '缃' 3\n15531 '缄' 3\n15532 '缅' 3\n15533 '缆' 3\n15534 '缇' 3\n15535 '缈' 3\n15536 '缉' 3\n15537 '缎' 3\n15538 '缐' 3\n15539 '缑' 3\n15540 '缓' 3\n15541 '缔' 3\n15542 '缕' 3\n15543 '编' 3\n15544 '缗' 3\n15545 '缘' 3\n15546 '缙' 3\n15547 '缚' 3\n15548 '缛' 3\n15549 '缜' 3\n15550 '缝' 3\n15551 '缟' 3\n15552 '缠' 3\n15553 '缢' 3\n15554 '缤' 3\n15555 '缥' 3\n15556 '缦' 3\n15557 '缨' 3\n15558 '缩' 3\n15559 '缪' 3\n15560 '缬' 3\n15561 '缭' 3\n15562 '缮' 3\n15563 '缰' 3\n15564 '缱' 3\n15565 '缴' 3\n15566 '缶' 3\n15567 '缸' 3\n15568 '缺' 3\n15569 '罂' 3\n15570 '罄' 3\n15571 '罅' 3\n15572 '罐' 3\n15573 '网' 3\n15574 '罒' 3\n15575 '罔' 3\n15576 '罕' 3\n15577 '罗' 3\n15578 '罚' 3\n15579 '罟' 3\n15580 '罠' 3\n15581 '罡' 3\n15582 '罢' 3\n15583 '罩' 3\n15584 '罪' 3\n15585 '罫' 3\n15586 '置' 3\n15587 '罰' 3\n15588 '署' 3\n15589 '罴' 3\n15590 '罵' 3\n15591 '罷' 3\n15592 '罹' 3\n15593 '羁' 3\n15594 '羅' 3\n15595 '羊' 3\n15596 '羌' 3\n15597 '美' 3\n15598 '羔' 3\n15599 '羚' 3\n15600 '羞' 3\n15601 '羟' 3\n15602 '羡' 3\n15603 '羣' 3\n15604 '群' 3\n15605 '羥' 3\n15606 '羧' 3\n15607 '羨' 3\n15608 '義' 3\n15609 '羯' 3\n15610 '羲' 3\n15611 '羸' 3\n15612 '羹' 3\n15613 '羽' 3\n15614 '羿' 3\n15615 '翀' 3\n15616 '翁' 3\n15617 '翅' 3\n15618 '翊' 3\n15619 '翌' 3\n15620 '翎' 3\n15621 '習' 3\n15622 '翔' 3\n15623 '翕' 3\n15624 '翘' 3\n15625 '翟' 3\n15626 '翠' 3\n15627 '翡' 3\n15628 '翥' 3\n15629 '翦' 3\n15630 '翩' 3\n15631 '翮' 3\n15632 '翰' 3\n15633 '翱' 3\n15634 '翳' 3\n15635 '翹' 3\n15636 '翻' 3\n15637 '翼' 3\n15638 '翾' 3\n15639 '耀' 3\n15640 '老' 3\n15641 '考' 3\n15642 '耄' 3\n15643 '者' 3\n15644 '耆' 3\n15645 '耋' 3\n15646 '而' 3\n15647 '耍' 3\n15648 '耐' 3\n15649 '耒' 3\n15650 '耕' 3\n15651 '耗' 3\n15652 '耘' 3\n15653 '耙' 3\n15654 '耦' 3\n15655 '耨' 3\n15656 '耪' 3\n15657 '耳' 3\n15658 '耶' 3\n15659 '耷' 3\n15660 '耸' 3\n15661 '耻' 3\n15662 '耽' 3\n15663 '耿' 3\n15664 '聂' 3\n15665 '聃' 3\n15666 '聆' 3\n15667 '聊' 3\n15668 '聋' 3\n15669 '职' 3\n15670 '聒' 3\n15671 '联' 3\n15672 '聖' 3\n15673 '聘' 3\n15674 '聚' 3\n15675 '聞' 3\n15676 '聡' 3\n15677 '聩' 3\n15678 '聪' 3\n15679 '聯' 3\n15680 '聰' 3\n15681 '聲' 3\n15682 '聳' 3\n15683 '聴' 3\n15684 '聶' 3\n15685 '職' 3\n15686 '聽' 3\n15687 '聾' 3\n15688 '聿' 3\n15689 '肃' 3\n15690 '肄' 3\n15691 '肅' 3\n15692 '肆' 3\n15693 '肇' 3\n15694 '肉' 3\n15695 '肋' 3\n15696 '肌' 3\n15697 '肏' 3\n15698 '肓' 3\n15699 '肖' 3\n15700 '肘' 3\n15701 '肚' 3\n15702 '肛' 3\n15703 '肝' 3\n15704 '肟' 3\n15705 '肠' 3\n15706 '股' 3\n15707 '肢' 3\n15708 '肤' 3\n15709 '肥' 3\n15710 '肩' 3\n15711 '肪' 3\n15712 '肮' 3\n15713 '肯' 3\n15714 '肱' 3\n15715 '育' 3\n15716 '肴' 3\n15717 '肺' 3\n15718 '肼' 3\n15719 '肽' 3\n15720 '肾' 3\n15721 '肿' 3\n15722 '胀' 3\n15723 '胁' 3\n15724 '胃' 3\n15725 '胄' 3\n15726 '胆' 3\n15727 '背' 3\n15728 '胍' 3\n15729 '胎' 3\n15730 '胏' 3\n15731 '胖' 3\n15732 '胗' 3\n15733 '胚' 3\n15734 '胛' 3\n15735 '胜' 3\n15736 '胞' 3\n15737 '胡' 3\n15738 '胤' 3\n15739 '胥' 3\n15740 '胧' 3\n15741 '胪' 3\n15742 '胫' 3\n15743 '胭' 3\n15744 '胯' 3\n15745 '胰' 3\n15746 '胱' 3\n15747 '胳' 3\n15748 '胴' 3\n15749 '胶' 3\n15750 '胸' 3\n15751 '胺' 3\n15752 '能' 3\n15753 '脂' 3\n15754 '脅' 3\n15755 '脆' 3\n15756 '脇' 3\n15757 '脈' 3\n15758 '脉' 3\n15759 '脊' 3\n15760 '脍' 3\n15761 '脏' 3\n15762 '脐' 3\n15763 '脑' 3\n15764 '脓' 3\n15765 '脔' 3\n15766 '脖' 3\n15767 '脘' 3\n15768 '脚' 3\n15769 '脛' 3\n15770 '脣' 3\n15771 '脩' 3\n15772 '脫' 3\n15773 '脯' 3\n15774 '脱' 3\n15775 '脲' 3\n15776 '脳' 3\n15777 '脷' 3\n15778 '脸' 3\n15779 '脹' 3\n15780 '脾' 3\n15781 '腆' 3\n15782 '腈' 3\n15783 '腊' 3\n15784 '腋' 3\n15785 '腌' 3\n15786 '腎' 3\n15787 '腐' 3\n15788 '腑' 3\n15789 '腓' 3\n15790 '腔' 3\n15791 '腕' 3\n15792 '腚' 3\n15793 '腥' 3\n15794 '腦' 3\n15795 '腩' 3\n15796 '腫' 3\n15797 '腭' 3\n15798 '腮' 3\n15799 '腰' 3\n15800 '腱' 3\n15801 '腳' 3\n15802 '腴' 3\n15803 '腸' 3\n15804 '腹' 3\n15805 '腺' 3\n15806 '腻' 3\n15807 '腼' 3\n15808 '腾' 3\n15809 '腿' 3\n15810 '膀' 3\n15811 '膈' 3\n15812 '膊' 3\n15813 '膏' 3\n15814 '膑' 3\n15815 '膘' 3\n15816 '膚' 3\n15817 '膛' 3\n15818 '膜' 3\n15819 '膝' 3\n15820 '膠' 3\n15821 '膣' 3\n15822 '膦' 3\n15823 '膨' 3\n15824 '膩' 3\n15825 '膳' 3\n15826 '膵' 3\n15827 '膺' 3\n15828 '膻' 3\n15829 '膽' 3\n15830 '膾' 3\n15831 '膿' 3\n15832 '臀' 3\n15833 '臂' 3\n15834 '臃' 3\n15835 '臆' 3\n15836 '臉' 3\n15837 '臊' 3\n15838 '臍' 3\n15839 '臓' 3\n15840 '臘' 3\n15841 '臜' 3\n15842 '臟' 3\n15843 '臣' 3\n15844 '臥' 3\n15845 '臧' 3\n15846 '臨' 3\n15847 '自' 3\n15848 '臭' 3\n15849 '至' 3\n15850 '致' 3\n15851 '臺' 3\n15852 '臻' 3\n15853 '臼' 3\n15854 '臾' 3\n15855 '舀' 3\n15856 '舂' 3\n15857 '舅' 3\n15858 '舆' 3\n15859 '與' 3\n15860 '興' 3\n15861 '舉' 3\n15862 '舊' 3\n15863 '舌' 3\n15864 '舍' 3\n15865 '舎' 3\n15866 '舐' 3\n15867 '舒' 3\n15868 '舔' 3\n15869 '舖' 3\n15870 '舗' 3\n15871 '舘' 3\n15872 '舛' 3\n15873 '舜' 3\n15874 '舞' 3\n15875 '舟' 3\n15876 '舢' 3\n15877 '舩' 3\n15878 '航' 3\n15879 '舫' 3\n15880 '般' 3\n15881 '舰' 3\n15882 '舱' 3\n15883 '舵' 3\n15884 '舶' 3\n15885 '舷' 3\n15886 '舸' 3\n15887 '船' 3\n15888 '艇' 3\n15889 '艋' 3\n15890 '艏' 3\n15891 '艘' 3\n15892 '艙' 3\n15893 '艦' 3\n15894 '艮' 3\n15895 '良' 3\n15896 '艰' 3\n15897 '艱' 3\n15898 '色' 3\n15899 '艳' 3\n15900 '艶' 3\n15901 '艷' 3\n15902 '艸' 3\n15903 '艹' 3\n15904 '艺' 3\n15905 '艽' 3\n15906 '艾' 3\n15907 '节' 3\n15908 '芃' 3\n15909 '芈' 3\n15910 '芊' 3\n15911 '芋' 3\n15912 '芍' 3\n15913 '芎' 3\n15914 '芒' 3\n15915 '芗' 3\n15916 '芘' 3\n15917 '芙' 3\n15918 '芜' 3\n15919 '芝' 3\n15920 '芡' 3\n15921 '芥' 3\n15922 '芦' 3\n15923 '芨' 3\n15924 '芩' 3\n15925 '芪' 3\n15926 '芫' 3\n15927 '芬' 3\n15928 '芭' 3\n15929 '芮' 3\n15930 '芯' 3\n15931 '花' 3\n15932 '芳' 3\n15933 '芷' 3\n15934 '芸' 3\n15935 '芹' 3\n15936 '芽' 3\n15937 '芾' 3\n15938 '苄' 3\n15939 '苅' 3\n15940 '苇' 3\n15941 '苋' 3\n15942 '苌' 3\n15943 '苍' 3\n15944 '苏' 3\n15945 '苑' 3\n15946 '苒' 3\n15947 '苓' 3\n15948 '苔' 3\n15949 '苕' 3\n15950 '苗' 3\n15951 '苛' 3\n15952 '苜' 3\n15953 '苞' 3\n15954 '苟' 3\n15955 '苡' 3\n15956 '苣' 3\n15957 '若' 3\n15958 '苦' 3\n15959 '苧' 3\n15960 '苪' 3\n15961 '苫' 3\n15962 '苯' 3\n15963 '英' 3\n15964 '苴' 3\n15965 '苷' 3\n15966 '苹' 3\n15967 '苺' 3\n15968 '苻' 3\n15969 '苼' 3\n15970 '苾' 3\n15971 '茁' 3\n15972 '茂' 3\n15973 '范' 3\n15974 '茄' 3\n15975 '茅' 3\n15976 '茆' 3\n15977 '茉' 3\n15978 '茎' 3\n15979 '茏' 3\n15980 '茔' 3\n15981 '茕' 3\n15982 '茗' 3\n15983 '茜' 3\n15984 '茣' 3\n15985 '茧' 3\n15986 '茨' 3\n15987 '茫' 3\n15988 '茬' 3\n15989 '茭' 3\n15990 '茯' 3\n15991 '茱' 3\n15992 '茲' 3\n15993 '茴' 3\n15994 '茵' 3\n15995 '茶' 3\n15996 '茸' 3\n15997 '茹' 3\n15998 '荀' 3\n15999 '荃' 3\n16000 '荆' 3\n16001 '荇' 3\n16002 '草' 3\n16003 '荊' 3\n16004 '荌' 3\n16005 '荍' 3\n16006 '荏' 3\n16007 '荐' 3\n16008 '荑' 3\n16009 '荒' 3\n16010 '荔' 3\n16011 '荖' 3\n16012 '荘' 3\n16013 '荚' 3\n16014 '荛' 3\n16015 '荜' 3\n16016 '荞' 3\n16017 '荟' 3\n16018 '荠' 3\n16019 '荡' 3\n16020 '荣' 3\n16021 '荤' 3\n16022 '荥' 3\n16023 '荦' 3\n16024 '荧' 3\n16025 '荨' 3\n16026 '荩' 3\n16027 '荪' 3\n16028 '荫' 3\n16029 '荭' 3\n16030 '药' 3\n16031 '荳' 3\n16032 '荷' 3\n16033 '荻' 3\n16034 '荼' 3\n16035 '莅' 3\n16036 '莆' 3\n16037 '莉' 3\n16038 '莊' 3\n16039 '莎' 3\n16040 '莒' 3\n16041 '莓' 3\n16042 '莖' 3\n16043 '莘' 3\n16044 '莜' 3\n16045 '莞' 3\n16046 '莠' 3\n16047 '莢' 3\n16048 '莨' 3\n16049 '莪' 3\n16050 '莫' 3\n16051 '莯' 3\n16052 '莱' 3\n16053 '莲' 3\n16054 '莳' 3\n16055 '莴' 3\n16056 '获' 3\n16057 '莹' 3\n16058 '莺' 3\n16059 '莼' 3\n16060 '莽' 3\n16061 '菀' 3\n16062 '菁' 3\n16063 '菅' 3\n16064 '菇' 3\n16065 '菈' 3\n16066 '菊' 3\n16067 '菌' 3\n16068 '菏' 3\n16069 '菓' 3\n16070 '菖' 3\n16071 '菘' 3\n16072 '菜' 3\n16073 '菟' 3\n16074 '菠' 3\n16075 '菡' 3\n16076 '菩' 3\n16077 '菫' 3\n16078 '華' 3\n16079 '菰' 3\n16080 '菱' 3\n16081 '菲' 3\n16082 '菴' 3\n16083 '菸' 3\n16084 '菽' 3\n16085 '萁' 3\n16086 '萃' 3\n16087 '萄' 3\n16088 '萊' 3\n16089 '萋' 3\n16090 '萌' 3\n16091 '萍' 3\n16092 '萎' 3\n16093 '萏' 3\n16094 '萘' 3\n16095 '萜' 3\n16096 '萝' 3\n16097 '萠' 3\n16098 '萤' 3\n16099 '营' 3\n16100 '萦' 3\n16101 '萧' 3\n16102 '萨' 3\n16103 '萩' 3\n16104 '萬' 3\n16105 '萱' 3\n16106 '萸' 3\n16107 '萻' 3\n16108 '萼' 3\n16109 '落' 3\n16110 '葆' 3\n16111 '葉' 3\n16112 '葎' 3\n16113 '葑' 3\n16114 '著' 3\n16115 '葚' 3\n16116 '葛' 3\n16117 '葡' 3\n16118 '董' 3\n16119 '葦' 3\n16120 '葩' 3\n16121 '葫' 3\n16122 '葬' 3\n16123 '葭' 3\n16124 '葯' 3\n16125 '葱' 3\n16126 '葳' 3\n16127 '葵' 3\n16128 '葶' 3\n16129 '葺' 3\n16130 '蒂' 3\n16131 '蒋' 3\n16132 '蒌' 3\n16133 '蒐' 3\n16134 '蒔' 3\n16135 '蒖' 3\n16136 '蒙' 3\n16137 '蒜' 3\n16138 '蒟' 3\n16139 '蒨' 3\n16140 '蒯' 3\n16141 '蒲' 3\n16142 '蒸' 3\n16143 '蒹' 3\n16144 '蒺' 3\n16145 '蒼' 3\n16146 '蒽' 3\n16147 '蒿' 3\n16148 '蓁' 3\n16149 '蓄' 3\n16150 '蓉' 3\n16151 '蓋' 3\n16152 '蓑' 3\n16153 '蓓' 3\n16154 '蓖' 3\n16155 '蓝' 3\n16156 '蓟' 3\n16157 '蓠' 3\n16158 '蓦' 3\n16159 '蓬' 3\n16160 '蓮' 3\n16161 '蓼' 3\n16162 '蓿' 3\n16163 '蔑' 3\n16164 '蔓' 3\n16165 '蔔' 3\n16166 '蔗' 3\n16167 '蔘' 3\n16168 '蔚' 3\n16169 '蔡' 3\n16170 '蔣' 3\n16171 '蔥' 3\n16172 '蔦' 3\n16173 '蔫' 3\n16174 '蔬' 3\n16175 '蔭' 3\n16176 '蔵' 3\n16177 '蔷' 3\n16178 '蔺' 3\n16179 '蔻' 3\n16180 '蔼' 3\n16181 '蔽' 3\n16182 '蕃' 3\n16183 '蕈' 3\n16184 '蕉' 3\n16185 '蕊' 3\n16186 '蕎' 3\n16187 '蕖' 3\n16188 '蕗' 3\n16189 '蕙' 3\n16190 '蕞' 3\n16191 '蕤' 3\n16192 '蕨' 3\n16193 '蕩' 3\n16194 '蕪' 3\n16195 '蕭' 3\n16196 '蕲' 3\n16197 '蕴' 3\n16198 '蕾' 3\n16199 '薄' 3\n16200 '薅' 3\n16201 '薇' 3\n16202 '薊' 3\n16203 '薏' 3\n16204 '薑' 3\n16205 '薔' 3\n16206 '薗' 3\n16207 '薙' 3\n16208 '薛' 3\n16209 '薜' 3\n16210 '薦' 3\n16211 '薨' 3\n16212 '薩' 3\n16213 '薪' 3\n16214 '薫' 3\n16215 '薬' 3\n16216 '薮' 3\n16217 '薯' 3\n16218 '薰' 3\n16219 '薹' 3\n16220 '藁' 3\n16221 '藉' 3\n16222 '藍' 3\n16223 '藏' 3\n16224 '藐' 3\n16225 '藓' 3\n16226 '藕' 3\n16227 '藜' 3\n16228 '藝' 3\n16229 '藤' 3\n16230 '藥' 3\n16231 '藩' 3\n16232 '藪' 3\n16233 '藺' 3\n16234 '藻' 3\n16235 '藿' 3\n16236 '蘂' 3\n16237 '蘅' 3\n16238 '蘆' 3\n16239 '蘇' 3\n16240 '蘊' 3\n16241 '蘋' 3\n16242 '蘑' 3\n16243 '蘖' 3\n16244 '蘚' 3\n16245 '蘩' 3\n16246 '蘭' 3\n16247 '蘸' 3\n16248 '蘼' 3\n16249 '蘿' 3\n16250 '虎' 3\n16251 '虏' 3\n16252 '虐' 3\n16253 '虑' 3\n16254 '虔' 3\n16255 '處' 3\n16256 '虚' 3\n16257 '虛' 3\n16258 '虜' 3\n16259 '虞' 3\n16260 '號' 3\n16261 '虢' 3\n16262 '虧' 3\n16263 '虫' 3\n16264 '虬' 3\n16265 '虱' 3\n16266 '虹' 3\n16267 '虺' 3\n16268 '虻' 3\n16269 '虽' 3\n16270 '虾' 3\n16271 '蚀' 3\n16272 '蚁' 3\n16273 '蚂' 3\n16274 '蚊' 3\n16275 '蚋' 3\n16276 '蚌' 3\n16277 '蚍' 3\n16278 '蚓' 3\n16279 '蚕' 3\n16280 '蚜' 3\n16281 '蚝' 3\n16282 '蚣' 3\n16283 '蚤' 3\n16284 '蚩' 3\n16285 '蚪' 3\n16286 '蚬' 3\n16287 '蚯' 3\n16288 '蚱' 3\n16289 '蚵' 3\n16290 '蚺' 3\n16291 '蛀' 3\n16292 '蛆' 3\n16293 '蛇' 3\n16294 '蛊' 3\n16295 '蛋' 3\n16296 '蛍' 3\n16297 '蛎' 3\n16298 '蛐' 3\n16299 '蛔' 3\n16300 '蛙' 3\n16301 '蛛' 3\n16302 '蛞' 3\n16303 '蛟' 3\n16304 '蛤' 3\n16305 '蛭' 3\n16306 '蛮' 3\n16307 '蛰' 3\n16308 '蛳' 3\n16309 '蛸' 3\n16310 '蛹' 3\n16311 '蛻' 3\n16312 '蛾' 3\n16313 '蜀' 3\n16314 '蜂' 3\n16315 '蜃' 3\n16316 '蜇' 3\n16317 '蜈' 3\n16318 '蜉' 3\n16319 '蜊' 3\n16320 '蜍' 3\n16321 '蜒' 3\n16322 '蜓' 3\n16323 '蜕' 3\n16324 '蜗' 3\n16325 '蜘' 3\n16326 '蜚' 3\n16327 '蜜' 3\n16328 '蜡' 3\n16329 '蜢' 3\n16330 '蜥' 3\n16331 '蜩' 3\n16332 '蜮' 3\n16333 '蜱' 3\n16334 '蜴' 3\n16335 '蜷' 3\n16336 '蜻' 3\n16337 '蜿' 3\n16338 '蝇' 3\n16339 '蝈' 3\n16340 '蝉' 3\n16341 '蝋' 3\n16342 '蝌' 3\n16343 '蝎' 3\n16344 '蝓' 3\n16345 '蝕' 3\n16346 '蝗' 3\n16347 '蝙' 3\n16348 '蝠' 3\n16349 '蝣' 3\n16350 '蝦' 3\n16351 '蝮' 3\n16352 '蝰' 3\n16353 '蝴' 3\n16354 '蝶' 3\n16355 '蝸' 3\n16356 '蝼' 3\n16357 '蝾' 3\n16358 '蝿' 3\n16359 '螂' 3\n16360 '螃' 3\n16361 '螈' 3\n16362 '融' 3\n16363 '螓' 3\n16364 '螞' 3\n16365 '螟' 3\n16366 '螢' 3\n16367 '螣' 3\n16368 '螨' 3\n16369 '螫' 3\n16370 '螭' 3\n16371 '螯' 3\n16372 '螳' 3\n16373 '螺' 3\n16374 '蟀' 3\n16375 '蟆' 3\n16376 '蟊' 3\n16377 '蟋' 3\n16378 '蟑' 3\n16379 '蟒' 3\n16380 '蟠' 3\n16381 '蟥' 3\n16382 '蟬' 3\n16383 '蟲' 3\n16384 '蟹' 3\n16385 '蟻' 3\n16386 '蟾' 3\n16387 '蠅' 3\n16388 '蠍' 3\n16389 '蠔' 3\n16390 '蠕' 3\n16391 '蠟' 3\n16392 '蠡' 3\n16393 '蠢' 3\n16394 '蠣' 3\n16395 '蠱' 3\n16396 '蠶' 3\n16397 '蠹' 3\n16398 '蠻' 3\n16399 '血' 3\n16400 '衄' 3\n16401 '衅' 3\n16402 '衆' 3\n16403 '行' 3\n16404 '衍' 3\n16405 '術' 3\n16406 '衔' 3\n16407 '街' 3\n16408 '衙' 3\n16409 '衛' 3\n16410 '衝' 3\n16411 '衞' 3\n16412 '衡' 3\n16413 '衢' 3\n16414 '衣' 3\n16415 '衤' 3\n16416 '补' 3\n16417 '表' 3\n16418 '衩' 3\n16419 '衫' 3\n16420 '衬' 3\n16421 '衮' 3\n16422 '衰' 3\n16423 '衲' 3\n16424 '衷' 3\n16425 '衹' 3\n16426 '衽' 3\n16427 '衾' 3\n16428 '衿' 3\n16429 '袁' 3\n16430 '袂' 3\n16431 '袄' 3\n16432 '袅' 3\n16433 '袈' 3\n16434 '袋' 3\n16435 '袍' 3\n16436 '袒' 3\n16437 '袖' 3\n16438 '袛' 3\n16439 '袜' 3\n16440 '袢' 3\n16441 '袤' 3\n16442 '袪' 3\n16443 '被' 3\n16444 '袭' 3\n16445 '袱' 3\n16446 '袴' 3\n16447 '袷' 3\n16448 '裁' 3\n16449 '裂' 3\n16450 '裄' 3\n16451 '装' 3\n16452 '裆' 3\n16453 '裏' 3\n16454 '裔' 3\n16455 '裕' 3\n16456 '裘' 3\n16457 '裙' 3\n16458 '補' 3\n16459 '裝' 3\n16460 '裟' 3\n16461 '裡' 3\n16462 '裤' 3\n16463 '裨' 3\n16464 '裱' 3\n16465 '裳' 3\n16466 '裴' 3\n16467 '裸' 3\n16468 '裹' 3\n16469 '製' 3\n16470 '裾' 3\n16471 '褂' 3\n16472 '複' 3\n16473 '褌' 3\n16474 '褐' 3\n16475 '褒' 3\n16476 '褓' 3\n16477 '褔' 3\n16478 '褙' 3\n16479 '褚' 3\n16480 '褛' 3\n16481 '褥' 3\n16482 '褪' 3\n16483 '褫' 3\n16484 '褰' 3\n16485 '褲' 3\n16486 '褴' 3\n16487 '褶' 3\n16488 '褸' 3\n16489 '褻' 3\n16490 '襁' 3\n16491 '襄' 3\n16492 '襖' 3\n16493 '襞' 3\n16494 '襟' 3\n16495 '襦' 3\n16496 '襪' 3\n16497 '襬' 3\n16498 '襯' 3\n16499 '襲' 3\n16500 '襷' 3\n16501 '西' 3\n16502 '覀' 3\n16503 '要' 3\n16504 '覃' 3\n16505 '覆' 3\n16506 '覇' 3\n16507 '見' 3\n16508 '規' 3\n16509 '覓' 3\n16510 '視' 3\n16511 '覗' 3\n16512 '覚' 3\n16513 '覧' 3\n16514 '親' 3\n16515 '観' 3\n16516 '覺' 3\n16517 '覽' 3\n16518 '觀' 3\n16519 '见' 3\n16520 '观' 3\n16521 '规' 3\n16522 '觅' 3\n16523 '视' 3\n16524 '览' 3\n16525 '觉' 3\n16526 '觊' 3\n16527 '觎' 3\n16528 '觐' 3\n16529 '觑' 3\n16530 '角' 3\n16531 '觚' 3\n16532 '觞' 3\n16533 '解' 3\n16534 '觥' 3\n16535 '触' 3\n16536 '觸' 3\n16537 '言' 3\n16538 '訂' 3\n16539 '訃' 3\n16540 '計' 3\n16541 '訊' 3\n16542 '討' 3\n16543 '訓' 3\n16544 '託' 3\n16545 '記' 3\n16546 '訛' 3\n16547 '訝' 3\n16548 '訟' 3\n16549 '訣' 3\n16550 '訥' 3\n16551 '訪' 3\n16552 '設' 3\n16553 '許' 3\n16554 '訳' 3\n16555 '訴' 3\n16556 '訶' 3\n16557 '診' 3\n16558 '註' 3\n16559 '証' 3\n16560 '訾' 3\n16561 '詈' 3\n16562 '詐' 3\n16563 '詔' 3\n16564 '評' 3\n16565 '詗' 3\n16566 '詛' 3\n16567 '詞' 3\n16568 '詠' 3\n16569 '詡' 3\n16570 '詢' 3\n16571 '詣' 3\n16572 '試' 3\n16573 '詩' 3\n16574 '詫' 3\n16575 '詭' 3\n16576 '詮' 3\n16577 '詰' 3\n16578 '話' 3\n16579 '該' 3\n16580 '詳' 3\n16581 '詹' 3\n16582 '誅' 3\n16583 '誇' 3\n16584 '誉' 3\n16585 '誊' 3\n16586 '誌' 3\n16587 '認' 3\n16588 '誒' 3\n16589 '誓' 3\n16590 '誕' 3\n16591 '誘' 3\n16592 '語' 3\n16593 '誠' 3\n16594 '誡' 3\n16595 '誣' 3\n16596 '誤' 3\n16597 '誦' 3\n16598 '說' 3\n16599 '説' 3\n16600 '読' 3\n16601 '誰' 3\n16602 '課' 3\n16603 '誹' 3\n16604 '誼' 3\n16605 '調' 3\n16606 '談' 3\n16607 '請' 3\n16608 '諍' 3\n16609 '諏' 3\n16610 '諒' 3\n16611 '論' 3\n16612 '諛' 3\n16613 '諜' 3\n16614 '諡' 3\n16615 '諦' 3\n16616 '諧' 3\n16617 '諫' 3\n16618 '諭' 3\n16619 '諮' 3\n16620 '諱' 3\n16621 '諳' 3\n16622 '諷' 3\n16623 '諸' 3\n16624 '諺' 3\n16625 '諾' 3\n16626 '謀' 3\n16627 '謁' 3\n16628 '謂' 3\n16629 '謄' 3\n16630 '謇' 3\n16631 '謊' 3\n16632 '謎' 3\n16633 '謔' 3\n16634 '謗' 3\n16635 '謙' 3\n16636 '講' 3\n16637 '謝' 3\n16638 '謠' 3\n16639 '謡' 3\n16640 '謨' 3\n16641 '謬' 3\n16642 '謳' 3\n16643 '謹' 3\n16644 '謾' 3\n16645 '證' 3\n16646 '譏' 3\n16647 '識' 3\n16648 '譚' 3\n16649 '譜' 3\n16650 '警' 3\n16651 '譬' 3\n16652 '譯' 3\n16653 '議' 3\n16654 '譲' 3\n16655 '譴' 3\n16656 '護' 3\n16657 '譽' 3\n16658 '讀' 3\n16659 '讃' 3\n16660 '變' 3\n16661 '讐' 3\n16662 '讓' 3\n16663 '讚' 3\n16664 '计' 3\n16665 '订' 3\n16666 '讣' 3\n16667 '认' 3\n16668 '讥' 3\n16669 '讦' 3\n16670 '讧' 3\n16671 '讨' 3\n16672 '让' 3\n16673 '讪' 3\n16674 '讫' 3\n16675 '训' 3\n16676 '议' 3\n16677 '讯' 3\n16678 '记' 3\n16679 '讲' 3\n16680 '讳' 3\n16681 '讴' 3\n16682 '讶' 3\n16683 '讷' 3\n16684 '许' 3\n16685 '讹' 3\n16686 '论' 3\n16687 '讼' 3\n16688 '讽' 3\n16689 '设' 3\n16690 '访' 3\n16691 '诀' 3\n16692 '证' 3\n16693 '诃' 3\n16694 '评' 3\n16695 '诅' 3\n16696 '识' 3\n16697 '诈' 3\n16698 '诉' 3\n16699 '诊' 3\n16700 '诋' 3\n16701 '诌' 3\n16702 '词' 3\n16703 '诏' 3\n16704 '译' 3\n16705 '诒' 3\n16706 '诓' 3\n16707 '试' 3\n16708 '诗' 3\n16709 '诘' 3\n16710 '诙' 3\n16711 '诚' 3\n16712 '诛' 3\n16713 '话' 3\n16714 '诞' 3\n16715 '诟' 3\n16716 '诠' 3\n16717 '诡' 3\n16718 '询' 3\n16719 '诣' 3\n16720 '诤' 3\n16721 '该' 3\n16722 '详' 3\n16723 '诧' 3\n16724 '诨' 3\n16725 '诩' 3\n16726 '诫' 3\n16727 '诬' 3\n16728 '语' 3\n16729 '诮' 3\n16730 '误' 3\n16731 '诰' 3\n16732 '诱' 3\n16733 '诲' 3\n16734 '诳' 3\n16735 '说' 3\n16736 '诵' 3\n16737 '诶' 3\n16738 '请' 3\n16739 '诸' 3\n16740 '诹' 3\n16741 '诺' 3\n16742 '读' 3\n16743 '诽' 3\n16744 '课' 3\n16745 '诿' 3\n16746 '谀' 3\n16747 '谁' 3\n16748 '谂' 3\n16749 '调' 3\n16750 '谄' 3\n16751 '谅' 3\n16752 '谆' 3\n16753 '谈' 3\n16754 '谊' 3\n16755 '谋' 3\n16756 '谌' 3\n16757 '谍' 3\n16758 '谎' 3\n16759 '谏' 3\n16760 '谐' 3\n16761 '谑' 3\n16762 '谒' 3\n16763 '谓' 3\n16764 '谔' 3\n16765 '谕' 3\n16766 '谗' 3\n16767 '谘' 3\n16768 '谙' 3\n16769 '谚' 3\n16770 '谛' 3\n16771 '谜' 3\n16772 '谟' 3\n16773 '谡' 3\n16774 '谢' 3\n16775 '谣' 3\n16776 '谤' 3\n16777 '谥' 3\n16778 '谦' 3\n16779 '谧' 3\n16780 '谨' 3\n16781 '谩' 3\n16782 '谪' 3\n16783 '谬' 3\n16784 '谭' 3\n16785 '谯' 3\n16786 '谱' 3\n16787 '谲' 3\n16788 '谴' 3\n16789 '谶' 3\n16790 '谷' 3\n16791 '谿' 3\n16792 '豁' 3\n16793 '豆' 3\n16794 '豈' 3\n16795 '豉' 3\n16796 '豊' 3\n16797 '豌' 3\n16798 '豎' 3\n16799 '豐' 3\n16800 '豔' 3\n16801 '豕' 3\n16802 '豚' 3\n16803 '象' 3\n16804 '豢' 3\n16805 '豪' 3\n16806 '豫' 3\n16807 '豬' 3\n16808 '豸' 3\n16809 '豹' 3\n16810 '豺' 3\n16811 '貂' 3\n16812 '貅' 3\n16813 '貉' 3\n16814 '貊' 3\n16815 '貌' 3\n16816 '貓' 3\n16817 '貔' 3\n16818 '貘' 3\n16819 '貝' 3\n16820 '貞' 3\n16821 '負' 3\n16822 '財' 3\n16823 '貢' 3\n16824 '貧' 3\n16825 '貨' 3\n16826 '販' 3\n16827 '貪' 3\n16828 '貫' 3\n16829 '責' 3\n16830 '貯' 3\n16831 '貰' 3\n16832 '貳' 3\n16833 '貴' 3\n16834 '貶' 3\n16835 '買' 3\n16836 '貸' 3\n16837 '費' 3\n16838 '貼' 3\n16839 '貽' 3\n16840 '貿' 3\n16841 '賀' 3\n16842 '賂' 3\n16843 '賃' 3\n16844 '賄' 3\n16845 '資' 3\n16846 '賈' 3\n16847 '賊' 3\n16848 '賑' 3\n16849 '賓' 3\n16850 '賛' 3\n16851 '賜' 3\n16852 '賞' 3\n16853 '賠' 3\n16854 '賢' 3\n16855 '賣' 3\n16856 '賤' 3\n16857 '賦' 3\n16858 '質' 3\n16859 '賬' 3\n16860 '賭' 3\n16861 '賴' 3\n16862 '賺' 3\n16863 '購' 3\n16864 '賽' 3\n16865 '贄' 3\n16866 '贅' 3\n16867 '贈' 3\n16868 '贊' 3\n16869 '贋' 3\n16870 '贏' 3\n16871 '贖' 3\n16872 '贛' 3\n16873 '贝' 3\n16874 '贞' 3\n16875 '负' 3\n16876 '贠' 3\n16877 '贡' 3\n16878 '财' 3\n16879 '责' 3\n16880 '贤' 3\n16881 '败' 3\n16882 '账' 3\n16883 '货' 3\n16884 '质' 3\n16885 '贩' 3\n16886 '贪' 3\n16887 '贫' 3\n16888 '贬' 3\n16889 '购' 3\n16890 '贮' 3\n16891 '贯' 3\n16892 '贰' 3\n16893 '贱' 3\n16894 '贲' 3\n16895 '贴' 3\n16896 '贵' 3\n16897 '贷' 3\n16898 '贸' 3\n16899 '费' 3\n16900 '贺' 3\n16901 '贻' 3\n16902 '贼' 3\n16903 '贽' 3\n16904 '贾' 3\n16905 '贿' 3\n16906 '赁' 3\n16907 '赂' 3\n16908 '赃' 3\n16909 '资' 3\n16910 '赅' 3\n16911 '赈' 3\n16912 '赉' 3\n16913 '赊' 3\n16914 '赋' 3\n16915 '赌' 3\n16916 '赎' 3\n16917 '赏' 3\n16918 '赐' 3\n16919 '赑' 3\n16920 '赓' 3\n16921 '赔' 3\n16922 '赖' 3\n16923 '赘' 3\n16924 '赚' 3\n16925 '赛' 3\n16926 '赜' 3\n16927 '赝' 3\n16928 '赞' 3\n16929 '赟' 3\n16930 '赠' 3\n16931 '赡' 3\n16932 '赢' 3\n16933 '赣' 3\n16934 '赤' 3\n16935 '赦' 3\n16936 '赧' 3\n16937 '赫' 3\n16938 '赭' 3\n16939 '走' 3\n16940 '赳' 3\n16941 '赴' 3\n16942 '赵' 3\n16943 '赶' 3\n16944 '起' 3\n16945 '趁' 3\n16946 '趄' 3\n16947 '超' 3\n16948 '越' 3\n16949 '趋' 3\n16950 '趔' 3\n16951 '趕' 3\n16952 '趙' 3\n16953 '趟' 3\n16954 '趣' 3\n16955 '趨' 3\n16956 '足' 3\n16957 '趴' 3\n16958 '趸' 3\n16959 '趺' 3\n16960 '趾' 3\n16961 '趿' 3\n16962 '跃' 3\n16963 '跄' 3\n16964 '跆' 3\n16965 '跋' 3\n16966 '跌' 3\n16967 '跎' 3\n16968 '跑' 3\n16969 '跖' 3\n16970 '跗' 3\n16971 '跚' 3\n16972 '跛' 3\n16973 '距' 3\n16974 '跟' 3\n16975 '跡' 3\n16976 '跣' 3\n16977 '跤' 3\n16978 '跨' 3\n16979 '跩' 3\n16980 '跪' 3\n16981 '路' 3\n16982 '跳' 3\n16983 '践' 3\n16984 '跶' 3\n16985 '跷' 3\n16986 '跹' 3\n16987 '跺' 3\n16988 '跻' 3\n16989 '踅' 3\n16990 '踉' 3\n16991 '踊' 3\n16992 '踌' 3\n16993 '踏' 3\n16994 '踐' 3\n16995 '踔' 3\n16996 '踝' 3\n16997 '踞' 3\n16998 '踟' 3\n16999 '踢' 3\n17000 '踩' 3\n17001 '踪' 3\n17002 '踮' 3\n17003 '踰' 3\n17004 '踱' 3\n17005 '踴' 3\n17006 '踵' 3\n17007 '踹' 3\n17008 '踽' 3\n17009 '蹂' 3\n17010 '蹄' 3\n17011 '蹇' 3\n17012 '蹈' 3\n17013 '蹉' 3\n17014 '蹊' 3\n17015 '蹋' 3\n17016 '蹑' 3\n17017 '蹒' 3\n17018 '蹙' 3\n17019 '蹚' 3\n17020 '蹟' 3\n17021 '蹤' 3\n17022 '蹦' 3\n17023 '蹩' 3\n17024 '蹬' 3\n17025 '蹭' 3\n17026 '蹰' 3\n17027 '蹲' 3\n17028 '蹴' 3\n17029 '蹶' 3\n17030 '蹺' 3\n17031 '蹼' 3\n17032 '蹿' 3\n17033 '躁' 3\n17034 '躇' 3\n17035 '躉' 3\n17036 '躍' 3\n17037 '躏' 3\n17038 '身' 3\n17039 '躬' 3\n17040 '躯' 3\n17041 '躰' 3\n17042 '躲' 3\n17043 '躺' 3\n17044 '躾' 3\n17045 '軀' 3\n17046 '車' 3\n17047 '軋' 3\n17048 '軌' 3\n17049 '軍' 3\n17050 '軒' 3\n17051 '軟' 3\n17052 '転' 3\n17053 '軸' 3\n17054 '軼' 3\n17055 '軽' 3\n17056 '軾' 3\n17057 '較' 3\n17058 '載' 3\n17059 '輌' 3\n17060 '輒' 3\n17061 '輔' 3\n17062 '輕' 3\n17063 '輛' 3\n17064 '輝' 3\n17065 '輩' 3\n17066 '輪' 3\n17067 '輯' 3\n17068 '輸' 3\n17069 '輻' 3\n17070 '輾' 3\n17071 '輿' 3\n17072 '轄' 3\n17073 '轅' 3\n17074 '轆' 3\n17075 '轉' 3\n17076 '轍' 3\n17077 '轎' 3\n17078 '轟' 3\n17079 '车' 3\n17080 '轧' 3\n17081 '轨' 3\n17082 '轩' 3\n17083 '转' 3\n17084 '轭' 3\n17085 '轮' 3\n17086 '软' 3\n17087 '轰' 3\n17088 '轱' 3\n17089 '轲' 3\n17090 '轴' 3\n17091 '轶' 3\n17092 '轸' 3\n17093 '轻' 3\n17094 '轼' 3\n17095 '载' 3\n17096 '轿' 3\n17097 '较' 3\n17098 '辄' 3\n17099 '辅' 3\n17100 '辆' 3\n17101 '辇' 3\n17102 '辈' 3\n17103 '辉' 3\n17104 '辊' 3\n17105 '辍' 3\n17106 '辎' 3\n17107 '辐' 3\n17108 '辑' 3\n17109 '输' 3\n17110 '辔' 3\n17111 '辕' 3\n17112 '辖' 3\n17113 '辗' 3\n17114 '辘' 3\n17115 '辙' 3\n17116 '辛' 3\n17117 '辜' 3\n17118 '辞' 3\n17119 '辟' 3\n17120 '辣' 3\n17121 '辦' 3\n17122 '辨' 3\n17123 '辩' 3\n17124 '辫' 3\n17125 '辭' 3\n17126 '辮' 3\n17127 '辯' 3\n17128 '辰' 3\n17129 '辱' 3\n17130 '農' 3\n17131 '边' 3\n17132 '辺' 3\n17133 '辻' 3\n17134 '込' 3\n17135 '辽' 3\n17136 '达' 3\n17137 '迁' 3\n17138 '迂' 3\n17139 '迄' 3\n17140 '迅' 3\n17141 '过' 3\n17142 '迈' 3\n17143 '迎' 3\n17144 '运' 3\n17145 '近' 3\n17146 '返' 3\n17147 '还' 3\n17148 '这' 3\n17149 '进' 3\n17150 '远' 3\n17151 '违' 3\n17152 '连' 3\n17153 '迟' 3\n17154 '迢' 3\n17155 '迤' 3\n17156 '迥' 3\n17157 '迦' 3\n17158 '迩' 3\n17159 '迪' 3\n17160 '迫' 3\n17161 '迭' 3\n17162 '述' 3\n17163 '迳' 3\n17164 '迴' 3\n17165 '迷' 3\n17166 '迸' 3\n17167 '迹' 3\n17168 '迺' 3\n17169 '追' 3\n17170 '退' 3\n17171 '送' 3\n17172 '适' 3\n17173 '逃' 3\n17174 '逄' 3\n17175 '逅' 3\n17176 '逆' 3\n17177 '选' 3\n17178 '逊' 3\n17179 '逋' 3\n17180 '逍' 3\n17181 '透' 3\n17182 '逐' 3\n17183 '逑' 3\n17184 '递' 3\n17185 '途' 3\n17186 '逕' 3\n17187 '逗' 3\n17188 '這' 3\n17189 '通' 3\n17190 '逛' 3\n17191 '逝' 3\n17192 '逞' 3\n17193 '速' 3\n17194 '造' 3\n17195 '逡' 3\n17196 '逢' 3\n17197 '連' 3\n17198 '逦' 3\n17199 '逮' 3\n17200 '逯' 3\n17201 '週' 3\n17202 '進' 3\n17203 '逵' 3\n17204 '逶' 3\n17205 '逸' 3\n17206 '逹' 3\n17207 '逻' 3\n17208 '逼' 3\n17209 '逾' 3\n17210 '遁' 3\n17211 '遂' 3\n17212 '遅' 3\n17213 '遇' 3\n17214 '遊' 3\n17215 '運' 3\n17216 '遍' 3\n17217 '過' 3\n17218 '遏' 3\n17219 '遐' 3\n17220 '遑' 3\n17221 '遒' 3\n17222 '道' 3\n17223 '達' 3\n17224 '違' 3\n17225 '遗' 3\n17226 '遙' 3\n17227 '遛' 3\n17228 '遜' 3\n17229 '遞' 3\n17230 '遠' 3\n17231 '遡' 3\n17232 '遢' 3\n17233 '遣' 3\n17234 '遥' 3\n17235 '遨' 3\n17236 '適' 3\n17237 '遭' 3\n17238 '遮' 3\n17239 '遲' 3\n17240 '遴' 3\n17241 '遵' 3\n17242 '遶' 3\n17243 '遷' 3\n17244 '選' 3\n17245 '遺' 3\n17246 '遼' 3\n17247 '遽' 3\n17248 '避' 3\n17249 '邀' 3\n17250 '邁' 3\n17251 '邂' 3\n17252 '邃' 3\n17253 '還' 3\n17254 '邇' 3\n17255 '邈' 3\n17256 '邉' 3\n17257 '邊' 3\n17258 '邋' 3\n17259 '邏' 3\n17260 '邑' 3\n17261 '邓' 3\n17262 '邕' 3\n17263 '邗' 3\n17264 '邙' 3\n17265 '邛' 3\n17266 '邝' 3\n17267 '邢' 3\n17268 '那' 3\n17269 '邦' 3\n17270 '邨' 3\n17271 '邪' 3\n17272 '邬' 3\n17273 '邮' 3\n17274 '邯' 3\n17275 '邰' 3\n17276 '邱' 3\n17277 '邳' 3\n17278 '邴' 3\n17279 '邵' 3\n17280 '邶' 3\n17281 '邸' 3\n17282 '邹' 3\n17283 '邺' 3\n17284 '邻' 3\n17285 '郁' 3\n17286 '郃' 3\n17287 '郄' 3\n17288 '郅' 3\n17289 '郇' 3\n17290 '郊' 3\n17291 '郎' 3\n17292 '郏' 3\n17293 '郑' 3\n17294 '郓' 3\n17295 '郗' 3\n17296 '郜' 3\n17297 '郝' 3\n17298 '郞' 3\n17299 '郡' 3\n17300 '郢' 3\n17301 '郦' 3\n17302 '郧' 3\n17303 '部' 3\n17304 '郫' 3\n17305 '郭' 3\n17306 '郯' 3\n17307 '郴' 3\n17308 '郵' 3\n17309 '郷' 3\n17310 '郸' 3\n17311 '都' 3\n17312 '鄂' 3\n17313 '鄄' 3\n17314 '鄉' 3\n17315 '鄒' 3\n17316 '鄕' 3\n17317 '鄙' 3\n17318 '鄞' 3\n17319 '鄠' 3\n17320 '鄢' 3\n17321 '鄧' 3\n17322 '鄭' 3\n17323 '鄯' 3\n17324 '鄰' 3\n17325 '鄱' 3\n17326 '鄺' 3\n17327 '酆' 3\n17328 '酉' 3\n17329 '酊' 3\n17330 '酋' 3\n17331 '酌' 3\n17332 '配' 3\n17333 '酎' 3\n17334 '酐' 3\n17335 '酒' 3\n17336 '酔' 3\n17337 '酗' 3\n17338 '酚' 3\n17339 '酝' 3\n17340 '酞' 3\n17341 '酡' 3\n17342 '酢' 3\n17343 '酣' 3\n17344 '酥' 3\n17345 '酩' 3\n17346 '酪' 3\n17347 '酬' 3\n17348 '酮' 3\n17349 '酯' 3\n17350 '酰' 3\n17351 '酱' 3\n17352 '酵' 3\n17353 '酶' 3\n17354 '酷' 3\n17355 '酸' 3\n17356 '酿' 3\n17357 '醇' 3\n17358 '醉' 3\n17359 '醋' 3\n17360 '醌' 3\n17361 '醍' 3\n17362 '醐' 3\n17363 '醒' 3\n17364 '醚' 3\n17365 '醛' 3\n17366 '醜' 3\n17367 '醤' 3\n17368 '醪' 3\n17369 '醫' 3\n17370 '醬' 3\n17371 '醮' 3\n17372 '醯' 3\n17373 '醴' 3\n17374 '醸' 3\n17375 '醺' 3\n17376 '釀' 3\n17377 '釁' 3\n17378 '釆' 3\n17379 '采' 3\n17380 '釈' 3\n17381 '釉' 3\n17382 '释' 3\n17383 '釋' 3\n17384 '里' 3\n17385 '重' 3\n17386 '野' 3\n17387 '量' 3\n17388 '釐' 3\n17389 '金' 3\n17390 '釘' 3\n17391 '釜' 3\n17392 '針' 3\n17393 '釣' 3\n17394 '釧' 3\n17395 '釵' 3\n17396 '鈉' 3\n17397 '鈍' 3\n17398 '鈎' 3\n17399 '鈑' 3\n17400 '鈔' 3\n17401 '鈕' 3\n17402 '鈞' 3\n17403 '鈣' 3\n17404 '鈦' 3\n17405 '鈴' 3\n17406 '鈷' 3\n17407 '鈺' 3\n17408 '鈿' 3\n17409 '鉀' 3\n17410 '鉄' 3\n17411 '鉅' 3\n17412 '鉆' 3\n17413 '鉈' 3\n17414 '鉉' 3\n17415 '鉋' 3\n17416 '鉗' 3\n17417 '鉛' 3\n17418 '鉞' 3\n17419 '鉢' 3\n17420 '鉤' 3\n17421 '鉦' 3\n17422 '鉱' 3\n17423 '鉴' 3\n17424 '鉸' 3\n17425 '鉾' 3\n17426 '銀' 3\n17427 '銃' 3\n17428 '銅' 3\n17429 '銑' 3\n17430 '銘' 3\n17431 '銛' 3\n17432 '銜' 3\n17433 '銭' 3\n17434 '銮' 3\n17435 '銳' 3\n17436 '銷' 3\n17437 '銹' 3\n17438 '鋁' 3\n17439 '鋅' 3\n17440 '鋆' 3\n17441 '鋏' 3\n17442 '鋐' 3\n17443 '鋒' 3\n17444 '鋤' 3\n17445 '鋪' 3\n17446 '鋭' 3\n17447 '鋰' 3\n17448 '鋲' 3\n17449 '鋳' 3\n17450 '鋸' 3\n17451 '鋼' 3\n17452 '錄' 3\n17453 '錆' 3\n17454 '錐' 3\n17455 '錘' 3\n17456 '錚' 3\n17457 '錠' 3\n17458 '錡' 3\n17459 '錢' 3\n17460 '錦' 3\n17461 '錨' 3\n17462 '錫' 3\n17463 '錬' 3\n17464 '錯' 3\n17465 '録' 3\n17466 '錳' 3\n17467 '錵' 3\n17468 '錶' 3\n17469 '錾' 3\n17470 '鍊' 3\n17471 '鍋' 3\n17472 '鍍' 3\n17473 '鍔' 3\n17474 '鍘' 3\n17475 '鍛' 3\n17476 '鍠' 3\n17477 '鍥' 3\n17478 '鍬' 3\n17479 '鍮' 3\n17480 '鍵' 3\n17481 '鍼' 3\n17482 '鍾' 3\n17483 '鎊' 3\n17484 '鎌' 3\n17485 '鎏' 3\n17486 '鎔' 3\n17487 '鎖' 3\n17488 '鎗' 3\n17489 '鎚' 3\n17490 '鎢' 3\n17491 '鎧' 3\n17492 '鎬' 3\n17493 '鎭' 3\n17494 '鎮' 3\n17495 '鎳' 3\n17496 '鏃' 3\n17497 '鏈' 3\n17498 '鏑' 3\n17499 '鏖' 3\n17500 '鏗' 3\n17501 '鏘' 3\n17502 '鏞' 3\n17503 '鏟' 3\n17504 '鏡' 3\n17505 '鏢' 3\n17506 '鐐' 3\n17507 '鐘' 3\n17508 '鐙' 3\n17509 '鐡' 3\n17510 '鐩' 3\n17511 '鐫' 3\n17512 '鐭' 3\n17513 '鐮' 3\n17514 '鐵' 3\n17515 '鐸' 3\n17516 '鑄' 3\n17517 '鑊' 3\n17518 '鑑' 3\n17519 '鑒' 3\n17520 '鑛' 3\n17521 '鑫' 3\n17522 '鑰' 3\n17523 '鑲' 3\n17524 '鑼' 3\n17525 '鑽' 3\n17526 '鑿' 3\n17527 '钇' 3\n17528 '针' 3\n17529 '钉' 3\n17530 '钊' 3\n17531 '钌' 3\n17532 '钎' 3\n17533 '钏' 3\n17534 '钒' 3\n17535 '钓' 3\n17536 '钕' 3\n17537 '钗' 3\n17538 '钙' 3\n17539 '钚' 3\n17540 '钛' 3\n17541 '钜' 3\n17542 '钝' 3\n17543 '钞' 3\n17544 '钟' 3\n17545 '钠' 3\n17546 '钡' 3\n17547 '钢' 3\n17548 '钣' 3\n17549 '钤' 3\n17550 '钥' 3\n17551 '钦' 3\n17552 '钧' 3\n17553 '钨' 3\n17554 '钩' 3\n17555 '钮' 3\n17556 '钯' 3\n17557 '钰' 3\n17558 '钱' 3\n17559 '钲' 3\n17560 '钳' 3\n17561 '钴' 3\n17562 '钵' 3\n17563 '钹' 3\n17564 '钺' 3\n17565 '钻' 3\n17566 '钼' 3\n17567 '钽' 3\n17568 '钾' 3\n17569 '钿' 3\n17570 '铀' 3\n17571 '铁' 3\n17572 '铂' 3\n17573 '铃' 3\n17574 '铄' 3\n17575 '铅' 3\n17576 '铆' 3\n17577 '铉' 3\n17578 '铊' 3\n17579 '铋' 3\n17580 '铌' 3\n17581 '铍' 3\n17582 '铎' 3\n17583 '铐' 3\n17584 '铑' 3\n17585 '铖' 3\n17586 '铛' 3\n17587 '铜' 3\n17588 '铝' 3\n17589 '铟' 3\n17590 '铠' 3\n17591 '铡' 3\n17592 '铢' 3\n17593 '铣' 3\n17594 '铤' 3\n17595 '铧' 3\n17596 '铨' 3\n17597 '铩' 3\n17598 '铬' 3\n17599 '铭' 3\n17600 '铮' 3\n17601 '铯' 3\n17602 '铰' 3\n17603 '铱' 3\n17604 '铲' 3\n17605 '铳' 3\n17606 '铵' 3\n17607 '银' 3\n17608 '铸' 3\n17609 '铺' 3\n17610 '铼' 3\n17611 '链' 3\n17612 '铿' 3\n17613 '销' 3\n17614 '锁' 3\n17615 '锂' 3\n17616 '锃' 3\n17617 '锄' 3\n17618 '锅' 3\n17619 '锆' 3\n17620 '锈' 3\n17621 '锉' 3\n17622 '锋' 3\n17623 '锌' 3\n17624 '锏' 3\n17625 '锐' 3\n17626 '锑' 3\n17627 '锒' 3\n17628 '锕' 3\n17629 '锗' 3\n17630 '锘' 3\n17631 '错' 3\n17632 '锚' 3\n17633 '锛' 3\n17634 '锝' 3\n17635 '锟' 3\n17636 '锡' 3\n17637 '锢' 3\n17638 '锣' 3\n17639 '锤' 3\n17640 '锥' 3\n17641 '锦' 3\n17642 '锨' 3\n17643 '锭' 3\n17644 '键' 3\n17645 '锯' 3\n17646 '锰' 3\n17647 '锱' 3\n17648 '锲' 3\n17649 '锴' 3\n17650 '锵' 3\n17651 '锶' 3\n17652 '锷' 3\n17653 '锹' 3\n17654 '锺' 3\n17655 '锻' 3\n17656 '镀' 3\n17657 '镁' 3\n17658 '镂' 3\n17659 '镇' 3\n17660 '镉' 3\n17661 '镊' 3\n17662 '镌' 3\n17663 '镍' 3\n17664 '镐' 3\n17665 '镑' 3\n17666 '镒' 3\n17667 '镓' 3\n17668 '镔' 3\n17669 '镕' 3\n17670 '镖' 3\n17671 '镗' 3\n17672 '镚' 3\n17673 '镛' 3\n17674 '镜' 3\n17675 '镝' 3\n17676 '镞' 3\n17677 '镣' 3\n17678 '镧' 3\n17679 '镪' 3\n17680 '镫' 3\n17681 '镬' 3\n17682 '镭' 3\n17683 '镯' 3\n17684 '镰' 3\n17685 '镳' 3\n17686 '镶' 3\n17687 '長' 3\n17688 '长' 3\n17689 '門' 3\n17690 '閂' 3\n17691 '閃' 3\n17692 '閉' 3\n17693 '開' 3\n17694 '閏' 3\n17695 '閑' 3\n17696 '閒' 3\n17697 '間' 3\n17698 '閔' 3\n17699 '閘' 3\n17700 '関' 3\n17701 '閣' 3\n17702 '閤' 3\n17703 '閥' 3\n17704 '閨' 3\n17705 '閩' 3\n17706 '閭' 3\n17707 '閱' 3\n17708 '閲' 3\n17709 '閹' 3\n17710 '閻' 3\n17711 '閾' 3\n17712 '闆' 3\n17713 '闇' 3\n17714 '闊' 3\n17715 '闌' 3\n17716 '闔' 3\n17717 '闕' 3\n17718 '闖' 3\n17719 '闘' 3\n17720 '關' 3\n17721 '闡' 3\n17722 '闢' 3\n17723 '门' 3\n17724 '闩' 3\n17725 '闪' 3\n17726 '闫' 3\n17727 '闭' 3\n17728 '问' 3\n17729 '闯' 3\n17730 '闰' 3\n17731 '闱' 3\n17732 '闲' 3\n17733 '闳' 3\n17734 '间' 3\n17735 '闵' 3\n17736 '闷' 3\n17737 '闸' 3\n17738 '闹' 3\n17739 '闺' 3\n17740 '闻' 3\n17741 '闼' 3\n17742 '闽' 3\n17743 '闾' 3\n17744 '闿' 3\n17745 '阀' 3\n17746 '阁' 3\n17747 '阂' 3\n17748 '阄' 3\n17749 '阅' 3\n17750 '阆' 3\n17751 '阈' 3\n17752 '阉' 3\n17753 '阊' 3\n17754 '阎' 3\n17755 '阏' 3\n17756 '阐' 3\n17757 '阑' 3\n17758 '阔' 3\n17759 '阕' 3\n17760 '阖' 3\n17761 '阗' 3\n17762 '阙' 3\n17763 '阚' 3\n17764 '阜' 3\n17765 '阝' 3\n17766 '队' 3\n17767 '阡' 3\n17768 '阪' 3\n17769 '阮' 3\n17770 '阱' 3\n17771 '防' 3\n17772 '阳' 3\n17773 '阴' 3\n17774 '阵' 3\n17775 '阶' 3\n17776 '阻' 3\n17777 '阿' 3\n17778 '陀' 3\n17779 '陂' 3\n17780 '附' 3\n17781 '际' 3\n17782 '陆' 3\n17783 '陇' 3\n17784 '陈' 3\n17785 '陉' 3\n17786 '陋' 3\n17787 '陌' 3\n17788 '降' 3\n17789 '限' 3\n17790 '陕' 3\n17791 '陛' 3\n17792 '陝' 3\n17793 '陞' 3\n17794 '陟' 3\n17795 '陡' 3\n17796 '院' 3\n17797 '陣' 3\n17798 '除' 3\n17799 '陥' 3\n17800 '陨' 3\n17801 '险' 3\n17802 '陪' 3\n17803 '陰' 3\n17804 '陲' 3\n17805 '陳' 3\n17806 '陵' 3\n17807 '陶' 3\n17808 '陷' 3\n17809 '陸' 3\n17810 '険' 3\n17811 '陽' 3\n17812 '隅' 3\n17813 '隆' 3\n17814 '隈' 3\n17815 '隊' 3\n17816 '隋' 3\n17817 '隍' 3\n17818 '階' 3\n17819 '随' 3\n17820 '隐' 3\n17821 '隔' 3\n17822 '隕' 3\n17823 '隗' 3\n17824 '隘' 3\n17825 '隙' 3\n17826 '際' 3\n17827 '障' 3\n17828 '隠' 3\n17829 '隣' 3\n17830 '隧' 3\n17831 '隨' 3\n17832 '險' 3\n17833 '隰' 3\n17834 '隱' 3\n17835 '隴' 3\n17836 '隶' 3\n17837 '隷' 3\n17838 '隸' 3\n17839 '隹' 3\n17840 '隻' 3\n17841 '隼' 3\n17842 '隽' 3\n17843 '难' 3\n17844 '雀' 3\n17845 '雁' 3\n17846 '雄' 3\n17847 '雅' 3\n17848 '集' 3\n17849 '雇' 3\n17850 '雉' 3\n17851 '雌' 3\n17852 '雍' 3\n17853 '雎' 3\n17854 '雏' 3\n17855 '雑' 3\n17856 '雒' 3\n17857 '雕' 3\n17858 '雖' 3\n17859 '雙' 3\n17860 '雛' 3\n17861 '雜' 3\n17862 '雞' 3\n17863 '離' 3\n17864 '難' 3\n17865 '雨' 3\n17866 '雩' 3\n17867 '雪' 3\n17868 '雫' 3\n17869 '雯' 3\n17870 '雰' 3\n17871 '雱' 3\n17872 '雲' 3\n17873 '雳' 3\n17874 '零' 3\n17875 '雷' 3\n17876 '雹' 3\n17877 '電' 3\n17878 '雾' 3\n17879 '需' 3\n17880 '霁' 3\n17881 '霂' 3\n17882 '霄' 3\n17883 '霆' 3\n17884 '震' 3\n17885 '霈' 3\n17886 '霉' 3\n17887 '霊' 3\n17888 '霍' 3\n17889 '霎' 3\n17890 '霏' 3\n17891 '霑' 3\n17892 '霓' 3\n17893 '霖' 3\n17894 '霙' 3\n17895 '霜' 3\n17896 '霞' 3\n17897 '霧' 3\n17898 '霭' 3\n17899 '霰' 3\n17900 '露' 3\n17901 '霸' 3\n17902 '霹' 3\n17903 '霽' 3\n17904 '霾' 3\n17905 '靂' 3\n17906 '靄' 3\n17907 '靈' 3\n17908 '靑' 3\n17909 '青' 3\n17910 '靓' 3\n17911 '靖' 3\n17912 '静' 3\n17913 '靚' 3\n17914 '靛' 3\n17915 '靜' 3\n17916 '非' 3\n17917 '靠' 3\n17918 '靡' 3\n17919 '面' 3\n17920 '靥' 3\n17921 '靨' 3\n17922 '革' 3\n17923 '靭' 3\n17924 '靳' 3\n17925 '靴' 3\n17926 '靶' 3\n17927 '靺' 3\n17928 '靼' 3\n17929 '鞄' 3\n17930 '鞅' 3\n17931 '鞆' 3\n17932 '鞋' 3\n17933 '鞍' 3\n17934 '鞏' 3\n17935 '鞑' 3\n17936 '鞘' 3\n17937 '鞠' 3\n17938 '鞣' 3\n17939 '鞥' 3\n17940 '鞭' 3\n17941 '韋' 3\n17942 '韌' 3\n17943 '韓' 3\n17944 '韦' 3\n17945 '韧' 3\n17946 '韩' 3\n17947 '韪' 3\n17948 '韫' 3\n17949 '韬' 3\n17950 '韭' 3\n17951 '韮' 3\n17952 '音' 3\n17953 '韵' 3\n17954 '韶' 3\n17955 '韻' 3\n17956 '響' 3\n17957 '頁' 3\n17958 '頂' 3\n17959 '頃' 3\n17960 '項' 3\n17961 '順' 3\n17962 '須' 3\n17963 '頌' 3\n17964 '預' 3\n17965 '頑' 3\n17966 '頒' 3\n17967 '頓' 3\n17968 '頔' 3\n17969 '頗' 3\n17970 '領' 3\n17971 '頚' 3\n17972 '頡' 3\n17973 '頤' 3\n17974 '頬' 3\n17975 '頭' 3\n17976 '頰' 3\n17977 '頸' 3\n17978 '頹' 3\n17979 '頻' 3\n17980 '頼' 3\n17981 '顆' 3\n17982 '題' 3\n17983 '額' 3\n17984 '顎' 3\n17985 '顏' 3\n17986 '顔' 3\n17987 '顕' 3\n17988 '願' 3\n17989 '顛' 3\n17990 '類' 3\n17991 '顥' 3\n17992 '顧' 3\n17993 '顫' 3\n17994 '顯' 3\n17995 '顱' 3\n17996 '页' 3\n17997 '顶' 3\n17998 '顷' 3\n17999 '项' 3\n18000 '顺' 3\n18001 '须' 3\n18002 '顼' 3\n18003 '顽' 3\n18004 '顾' 3\n18005 '顿' 3\n18006 '颀' 3\n18007 '颁' 3\n18008 '颂' 3\n18009 '预' 3\n18010 '颅' 3\n18011 '领' 3\n18012 '颇' 3\n18013 '颈' 3\n18014 '颉' 3\n18015 '颊' 3\n18016 '颌' 3\n18017 '颍' 3\n18018 '颏' 3\n18019 '颐' 3\n18020 '频' 3\n18021 '颓' 3\n18022 '颔' 3\n18023 '颖' 3\n18024 '颗' 3\n18025 '题' 3\n18026 '颙' 3\n18027 '颚' 3\n18028 '颛' 3\n18029 '颜' 3\n18030 '额' 3\n18031 '颞' 3\n18032 '颠' 3\n18033 '颢' 3\n18034 '颤' 3\n18035 '颦' 3\n18036 '颧' 3\n18037 '風' 3\n18038 '颯' 3\n18039 '颱' 3\n18040 '颳' 3\n18041 '飄' 3\n18042 '飆' 3\n18043 '风' 3\n18044 '飏' 3\n18045 '飒' 3\n18046 '飓' 3\n18047 '飕' 3\n18048 '飘' 3\n18049 '飙' 3\n18050 '飚' 3\n18051 '飛' 3\n18052 '飞' 3\n18053 '食' 3\n18054 '飢' 3\n18055 '飧' 3\n18056 '飨' 3\n18057 '飯' 3\n18058 '飲' 3\n18059 '飴' 3\n18060 '飼' 3\n18061 '飽' 3\n18062 '飾' 3\n18063 '餃' 3\n18064 '餅' 3\n18065 '餉' 3\n18066 '養' 3\n18067 '餌' 3\n18068 '餍' 3\n18069 '餐' 3\n18070 '餒' 3\n18071 '餓' 3\n18072 '餘' 3\n18073 '餡' 3\n18074 '館' 3\n18075 '餮' 3\n18076 '餵' 3\n18077 '饅' 3\n18078 '饋' 3\n18079 '饌' 3\n18080 '饑' 3\n18081 '饒' 3\n18082 '饕' 3\n18083 '饗' 3\n18084 '饞' 3\n18085 '饥' 3\n18086 '饨' 3\n18087 '饪' 3\n18088 '饬' 3\n18089 '饭' 3\n18090 '饮' 3\n18091 '饯' 3\n18092 '饰' 3\n18093 '饱' 3\n18094 '饲' 3\n18095 '饴' 3\n18096 '饵' 3\n18097 '饶' 3\n18098 '饷' 3\n18099 '饺' 3\n18100 '饼' 3\n18101 '饽' 3\n18102 '饿' 3\n18103 '馀' 3\n18104 '馁' 3\n18105 '馄' 3\n18106 '馅' 3\n18107 '馆' 3\n18108 '馈' 3\n18109 '馊' 3\n18110 '馋' 3\n18111 '馍' 3\n18112 '馏' 3\n18113 '馐' 3\n18114 '馒' 3\n18115 '馔' 3\n18116 '馕' 3\n18117 '首' 3\n18118 '馗' 3\n18119 '香' 3\n18120 '馥' 3\n18121 '馨' 3\n18122 '馬' 3\n18123 '馭' 3\n18124 '馮' 3\n18125 '馱' 3\n18126 '馳' 3\n18127 '馴' 3\n18128 '駁' 3\n18129 '駄' 3\n18130 '駅' 3\n18131 '駆' 3\n18132 '駐' 3\n18133 '駒' 3\n18134 '駕' 3\n18135 '駛' 3\n18136 '駝' 3\n18137 '駭' 3\n18138 '駱' 3\n18139 '駿' 3\n18140 '騎' 3\n18141 '騒' 3\n18142 '験' 3\n18143 '騙' 3\n18144 '騰' 3\n18145 '騷' 3\n18146 '驅' 3\n18147 '驊' 3\n18148 '驍' 3\n18149 '驕' 3\n18150 '驗' 3\n18151 '驚' 3\n18152 '驛' 3\n18153 '驟' 3\n18154 '驢' 3\n18155 '驥' 3\n18156 '驪' 3\n18157 '马' 3\n18158 '驭' 3\n18159 '驮' 3\n18160 '驯' 3\n18161 '驰' 3\n18162 '驱' 3\n18163 '驳' 3\n18164 '驴' 3\n18165 '驶' 3\n18166 '驷' 3\n18167 '驸' 3\n18168 '驹' 3\n18169 '驻' 3\n18170 '驼' 3\n18171 '驽' 3\n18172 '驾' 3\n18173 '驿' 3\n18174 '骁' 3\n18175 '骂' 3\n18176 '骄' 3\n18177 '骅' 3\n18178 '骆' 3\n18179 '骇' 3\n18180 '骈' 3\n18181 '骊' 3\n18182 '骋' 3\n18183 '验' 3\n18184 '骏' 3\n18185 '骐' 3\n18186 '骑' 3\n18187 '骓' 3\n18188 '骗' 3\n18189 '骘' 3\n18190 '骚' 3\n18191 '骛' 3\n18192 '骜' 3\n18193 '骞' 3\n18194 '骠' 3\n18195 '骡' 3\n18196 '骢' 3\n18197 '骤' 3\n18198 '骥' 3\n18199 '骧' 3\n18200 '骨' 3\n18201 '骰' 3\n18202 '骶' 3\n18203 '骷' 3\n18204 '骸' 3\n18205 '骼' 3\n18206 '髀' 3\n18207 '髁' 3\n18208 '髂' 3\n18209 '髄' 3\n18210 '髅' 3\n18211 '髋' 3\n18212 '髏' 3\n18213 '髒' 3\n18214 '髓' 3\n18215 '體' 3\n18216 '高' 3\n18217 '髙' 3\n18218 '髦' 3\n18219 '髪' 3\n18220 '髭' 3\n18221 '髮' 3\n18222 '髯' 3\n18223 '髷' 3\n18224 '髻' 3\n18225 '鬃' 3\n18226 '鬄' 3\n18227 '鬆' 3\n18228 '鬍' 3\n18229 '鬓' 3\n18230 '鬘' 3\n18231 '鬚' 3\n18232 '鬟' 3\n18233 '鬢' 3\n18234 '鬣' 3\n18235 '鬥' 3\n18236 '鬧' 3\n18237 '鬨' 3\n18238 '鬪' 3\n18239 '鬯' 3\n18240 '鬱' 3\n18241 '鬲' 3\n18242 '鬻' 3\n18243 '鬼' 3\n18244 '魁' 3\n18245 '魂' 3\n18246 '魃' 3\n18247 '魄' 3\n18248 '魅' 3\n18249 '魆' 3\n18250 '魇' 3\n18251 '魈' 3\n18252 '魉' 3\n18253 '魍' 3\n18254 '魏' 3\n18255 '魑' 3\n18256 '魔' 3\n18257 '魘' 3\n18258 '魚' 3\n18259 '魟' 3\n18260 '魯' 3\n18261 '魷' 3\n18262 '鮎' 3\n18263 '鮑' 3\n18264 '鮒' 3\n18265 '鮨' 3\n18266 '鮫' 3\n18267 '鮭' 3\n18268 '鮮' 3\n18269 '鯉' 3\n18270 '鯊' 3\n18271 '鯖' 3\n18272 '鯛' 3\n18273 '鯨' 3\n18274 '鯰' 3\n18275 '鯱' 3\n18276 '鯵' 3\n18277 '鰍' 3\n18278 '鰐' 3\n18279 '鰓' 3\n18280 '鰤' 3\n18281 '鰭' 3\n18282 '鰯' 3\n18283 '鰱' 3\n18284 '鰹' 3\n18285 '鰺' 3\n18286 '鰻' 3\n18287 '鱈' 3\n18288 '鱉' 3\n18289 '鱒' 3\n18290 '鱗' 3\n18291 '鱷' 3\n18292 '鱻' 3\n18293 '鱼' 3\n18294 '鱿' 3\n18295 '鲁' 3\n18296 '鲇' 3\n18297 '鲈' 3\n18298 '鲍' 3\n18299 '鲎' 3\n18300 '鲑' 3\n18301 '鲛' 3\n18302 '鲜' 3\n18303 '鲟' 3\n18304 '鲠' 3\n18305 '鲢' 3\n18306 '鲣' 3\n18307 '鲤' 3\n18308 '鲨' 3\n18309 '鲫' 3\n18310 '鲲' 3\n18311 '鲵' 3\n18312 '鲶' 3\n18313 '鲷' 3\n18314 '鲸' 3\n18315 '鳃' 3\n18316 '鳄' 3\n18317 '鳅' 3\n18318 '鳌' 3\n18319 '鳍' 3\n18320 '鳏' 3\n18321 '鳐' 3\n18322 '鳕' 3\n18323 '鳖' 3\n18324 '鳗' 3\n18325 '鳙' 3\n18326 '鳝' 3\n18327 '鳞' 3\n18328 '鳥' 3\n18329 '鳩' 3\n18330 '鳯' 3\n18331 '鳳' 3\n18332 '鳴' 3\n18333 '鳶' 3\n18334 '鴇' 3\n18335 '鴈' 3\n18336 '鴉' 3\n18337 '鴎' 3\n18338 '鴛' 3\n18339 '鴦' 3\n18340 '鴨' 3\n18341 '鴻' 3\n18342 '鴿' 3\n18343 '鵜' 3\n18344 '鵝' 3\n18345 '鵠' 3\n18346 '鵬' 3\n18347 '鵰' 3\n18348 '鵲' 3\n18349 '鵺' 3\n18350 '鶉' 3\n18351 '鶏' 3\n18352 '鶯' 3\n18353 '鶴' 3\n18354 '鷄' 3\n18355 '鷗' 3\n18356 '鷲' 3\n18357 '鷹' 3\n18358 '鷺' 3\n18359 '鸚' 3\n18360 '鸞' 3\n18361 '鸟' 3\n18362 '鸠' 3\n18363 '鸡' 3\n18364 '鸢' 3\n18365 '鸣' 3\n18366 '鸥' 3\n18367 '鸦' 3\n18368 '鸨' 3\n18369 '鸩' 3\n18370 '鸪' 3\n18371 '鸫' 3\n18372 '鸭' 3\n18373 '鸮' 3\n18374 '鸯' 3\n18375 '鸱' 3\n18376 '鸳' 3\n18377 '鸵' 3\n18378 '鸷' 3\n18379 '鸽' 3\n18380 '鸾' 3\n18381 '鸿' 3\n18382 '鹂' 3\n18383 '鹃' 3\n18384 '鹄' 3\n18385 '鹅' 3\n18386 '鹈' 3\n18387 '鹉' 3\n18388 '鹊' 3\n18389 '鹌' 3\n18390 '鹏' 3\n18391 '鹑' 3\n18392 '鹕' 3\n18393 '鹗' 3\n18394 '鹘' 3\n18395 '鹜' 3\n18396 '鹞' 3\n18397 '鹤' 3\n18398 '鹦' 3\n18399 '鹫' 3\n18400 '鹬' 3\n18401 '鹭' 3\n18402 '鹰' 3\n18403 '鹳' 3\n18404 '鹵' 3\n18405 '鹹' 3\n18406 '鹼' 3\n18407 '鹽' 3\n18408 '鹿' 3\n18409 '麂' 3\n18410 '麈' 3\n18411 '麋' 3\n18412 '麒' 3\n18413 '麓' 3\n18414 '麗' 3\n18415 '麝' 3\n18416 '麟' 3\n18417 '麥' 3\n18418 '麦' 3\n18419 '麩' 3\n18420 '麴' 3\n18421 '麵' 3\n18422 '麸' 3\n18423 '麹' 3\n18424 '麺' 3\n18425 '麻' 3\n18426 '麼' 3\n18427 '麽' 3\n18428 '麾' 3\n18429 '麿' 3\n18430 '黃' 3\n18431 '黄' 3\n18432 '黉' 3\n18433 '黌' 3\n18434 '黍' 3\n18435 '黎' 3\n18436 '黏' 3\n18437 '黐' 3\n18438 '黑' 3\n18439 '黒' 3\n18440 '黔' 3\n18441 '默' 3\n18442 '黙' 3\n18443 '黛' 3\n18444 '黜' 3\n18445 '黝' 3\n18446 '點' 3\n18447 '黠' 3\n18448 '黢' 3\n18449 '黨' 3\n18450 '黩' 3\n18451 '黯' 3\n18452 '黼' 3\n18453 '黾' 3\n18454 '鼋' 3\n18455 '鼍' 3\n18456 '鼎' 3\n18457 '鼐' 3\n18458 '鼓' 3\n18459 '鼠' 3\n18460 '鼬' 3\n18461 '鼯' 3\n18462 '鼹' 3\n18463 '鼻' 3\n18464 '鼾' 3\n18465 '齁' 3\n18466 '齊' 3\n18467 '齋' 3\n18468 '齐' 3\n18469 '齑' 3\n18470 '齒' 3\n18471 '齡' 3\n18472 '齢' 3\n18473 '齣' 3\n18474 '齿' 3\n18475 '龃' 3\n18476 '龄' 3\n18477 '龅' 3\n18478 '龇' 3\n18479 '龈' 3\n18480 '龉' 3\n18481 '龊' 3\n18482 '龋' 3\n18483 '龌' 3\n18484 '龍' 3\n18485 '龐' 3\n18486 '龔' 3\n18487 '龕' 3\n18488 '龙' 3\n18489 '龚' 3\n18490 '龛' 3\n18491 '龜' 3\n18492 '龟' 3\n18493 '龠' 3\n18494 '꒪' 3\n18495 '가' 3\n18496 '각' 3\n18497 '간' 3\n18498 '갈' 3\n18499 '감' 3\n18500 '갑' 3\n18501 '갔' 3\n18502 '강' 3\n18503 '갖' 3\n18504 '같' 3\n18505 '개' 3\n18506 '객' 3\n18507 '거' 3\n18508 '건' 3\n18509 '걸' 3\n18510 '검' 3\n18511 '것' 3\n18512 '게' 3\n18513 '겠' 3\n18514 '겨' 3\n18515 '격' 3\n18516 '견' 3\n18517 '결' 3\n18518 '경' 3\n18519 '계' 3\n18520 '고' 3\n18521 '곡' 3\n18522 '곤' 3\n18523 '골' 3\n18524 '곳' 3\n18525 '공' 3\n18526 '과' 3\n18527 '관' 3\n18528 '광' 3\n18529 '괴' 3\n18530 '교' 3\n18531 '구' 3\n18532 '국' 3\n18533 '군' 3\n18534 '굴' 3\n18535 '궁' 3\n18536 '권' 3\n18537 '귀' 3\n18538 '규' 3\n18539 '균' 3\n18540 '그' 3\n18541 '극' 3\n18542 '근' 3\n18543 '글' 3\n18544 '금' 3\n18545 '급' 3\n18546 '기' 3\n18547 '긴' 3\n18548 '길' 3\n18549 '김' 3\n18550 '까' 3\n18551 '깨' 3\n18552 '께' 3\n18553 '꾸' 3\n18554 '끌' 3\n18555 '끝' 3\n18556 '끼' 3\n18557 '나' 3\n18558 '난' 3\n18559 '날' 3\n18560 '남' 3\n18561 '났' 3\n18562 '내' 3\n18563 '낸' 3\n18564 '냈' 3\n18565 '냐' 3\n18566 '너' 3\n18567 '널' 3\n18568 '넘' 3\n18569 '네' 3\n18570 '넷' 3\n18571 '녀' 3\n18572 '년' 3\n18573 '념' 3\n18574 '노' 3\n18575 '녹' 3\n18576 '논' 3\n18577 '놀' 3\n18578 '농' 3\n18579 '높' 3\n18580 '놓' 3\n18581 '누' 3\n18582 '눈' 3\n18583 '뉴' 3\n18584 '느' 3\n18585 '는' 3\n18586 '늘' 3\n18587 '능' 3\n18588 '니' 3\n18589 '닌' 3\n18590 '님' 3\n18591 '다' 3\n18592 '단' 3\n18593 '달' 3\n18594 '담' 3\n18595 '답' 3\n18596 '당' 3\n18597 '대' 3\n18598 '댓' 3\n18599 '더' 3\n18600 '덕' 3\n18601 '던' 3\n18602 '덤' 3\n18603 '데' 3\n18604 '덴' 3\n18605 '델' 3\n18606 '도' 3\n18607 '독' 3\n18608 '돈' 3\n18609 '돌' 3\n18610 '동' 3\n18611 '돼' 3\n18612 '됐' 3\n18613 '되' 3\n18614 '된' 3\n18615 '될' 3\n18616 '됩' 3\n18617 '두' 3\n18618 '둘' 3\n18619 '뒤' 3\n18620 '드' 3\n18621 '득' 3\n18622 '든' 3\n18623 '들' 3\n18624 '듯' 3\n18625 '등' 3\n18626 '디' 3\n18627 '따' 3\n18628 '딸' 3\n18629 '때' 3\n18630 '떠' 3\n18631 '떤' 3\n18632 '떨' 3\n18633 '떻' 3\n18634 '또' 3\n18635 '뜻' 3\n18636 '라' 3\n18637 '락' 3\n18638 '란' 3\n18639 '람' 3\n18640 '랑' 3\n18641 '래' 3\n18642 '랜' 3\n18643 '램' 3\n18644 '략' 3\n18645 '량' 3\n18646 '러' 3\n18647 '런' 3\n18648 '럼' 3\n18649 '럽' 3\n18650 '렇' 3\n18651 '레' 3\n18652 '렉' 3\n18653 '렌' 3\n18654 '려' 3\n18655 '력' 3\n18656 '련' 3\n18657 '렸' 3\n18658 '령' 3\n18659 '례' 3\n18660 '로' 3\n18661 '록' 3\n18662 '론' 3\n18663 '롯' 3\n18664 '료' 3\n18665 '루' 3\n18666 '룹' 3\n18667 '류' 3\n18668 '률' 3\n18669 '르' 3\n18670 '른' 3\n18671 '를' 3\n18672 '름' 3\n18673 '리' 3\n18674 '릭' 3\n18675 '린' 3\n18676 '릴' 3\n18677 '림' 3\n18678 '립' 3\n18679 '링' 3\n18680 '마' 3\n18681 '막' 3\n18682 '만' 3\n18683 '많' 3\n18684 '말' 3\n18685 '맛' 3\n18686 '망' 3\n18687 '맞' 3\n18688 '맡' 3\n18689 '매' 3\n18690 '맥' 3\n18691 '맨' 3\n18692 '맹' 3\n18693 '머' 3\n18694 '먹' 3\n18695 '먼' 3\n18696 '메' 3\n18697 '며' 3\n18698 '면' 3\n18699 '명' 3\n18700 '몇' 3\n18701 '모' 3\n18702 '목' 3\n18703 '몬' 3\n18704 '몰' 3\n18705 '몸' 3\n18706 '못' 3\n18707 '몽' 3\n18708 '묘' 3\n18709 '무' 3\n18710 '문' 3\n18711 '물' 3\n18712 '뮤' 3\n18713 '므' 3\n18714 '미' 3\n18715 '민' 3\n18716 '밀' 3\n18717 '및' 3\n18718 '바' 3\n18719 '박' 3\n18720 '밖' 3\n18721 '반' 3\n18722 '받' 3\n18723 '발' 3\n18724 '밝' 3\n18725 '방' 3\n18726 '배' 3\n18727 '백' 3\n18728 '버' 3\n18729 '번' 3\n18730 '벌' 3\n18731 '범' 3\n18732 '법' 3\n18733 '베' 3\n18734 '벤' 3\n18735 '벨' 3\n18736 '벽' 3\n18737 '변' 3\n18738 '별' 3\n18739 '병' 3\n18740 '보' 3\n18741 '복' 3\n18742 '본' 3\n18743 '볼' 3\n18744 '봉' 3\n18745 '부' 3\n18746 '북' 3\n18747 '분' 3\n18748 '불' 3\n18749 '붙' 3\n18750 '뷔' 3\n18751 '뷰' 3\n18752 '브' 3\n18753 '블' 3\n18754 '비' 3\n18755 '빈' 3\n18756 '빌' 3\n18757 '빛' 3\n18758 '빠' 3\n18759 '뿐' 3\n18760 '사' 3\n18761 '삭' 3\n18762 '산' 3\n18763 '살' 3\n18764 '삼' 3\n18765 '상' 3\n18766 '새' 3\n18767 '색' 3\n18768 '생' 3\n18769 '샤' 3\n18770 '샵' 3\n18771 '서' 3\n18772 '석' 3\n18773 '선' 3\n18774 '설' 3\n18775 '섬' 3\n18776 '성' 3\n18777 '세' 3\n18778 '센' 3\n18779 '셀' 3\n18780 '셔' 3\n18781 '션' 3\n18782 '소' 3\n18783 '속' 3\n18784 '손' 3\n18785 '솔' 3\n18786 '송' 3\n18787 '쇼' 3\n18788 '수' 3\n18789 '숙' 3\n18790 '순' 3\n18791 '술' 3\n18792 '숨' 3\n18793 '쉬' 3\n18794 '쉽' 3\n18795 '슈' 3\n18796 '스' 3\n18797 '슨' 3\n18798 '슬' 3\n18799 '습' 3\n18800 '승' 3\n18801 '시' 3\n18802 '식' 3\n18803 '신' 3\n18804 '실' 3\n18805 '심' 3\n18806 '십' 3\n18807 '싱' 3\n18808 '싶' 3\n18809 '싸' 3\n18810 '써' 3\n18811 '쓰' 3\n18812 '씨' 3\n18813 '아' 3\n18814 '악' 3\n18815 '안' 3\n18816 '않' 3\n18817 '알' 3\n18818 '암' 3\n18819 '압' 3\n18820 '았' 3\n18821 '앙' 3\n18822 '앞' 3\n18823 '애' 3\n18824 '액' 3\n18825 '앤' 3\n18826 '앨' 3\n18827 '야' 3\n18828 '약' 3\n18829 '양' 3\n18830 '어' 3\n18831 '억' 3\n18832 '언' 3\n18833 '얻' 3\n18834 '얼' 3\n18835 '엄' 3\n18836 '업' 3\n18837 '없' 3\n18838 '엇' 3\n18839 '었' 3\n18840 '에' 3\n18841 '엔' 3\n18842 '엘' 3\n18843 '여' 3\n18844 '역' 3\n18845 '연' 3\n18846 '열' 3\n18847 '염' 3\n18848 '였' 3\n18849 '영' 3\n18850 '예' 3\n18851 '오' 3\n18852 '옥' 3\n18853 '온' 3\n18854 '올' 3\n18855 '와' 3\n18856 '왁' 3\n18857 '완' 3\n18858 '왔' 3\n18859 '왕' 3\n18860 '왜' 3\n18861 '외' 3\n18862 '요' 3\n18863 '욕' 3\n18864 '용' 3\n18865 '우' 3\n18866 '욱' 3\n18867 '운' 3\n18868 '울' 3\n18869 '움' 3\n18870 '웃' 3\n18871 '워' 3\n18872 '원' 3\n18873 '월' 3\n18874 '웨' 3\n18875 '웹' 3\n18876 '위' 3\n18877 '유' 3\n18878 '육' 3\n18879 '윤' 3\n18880 '율' 3\n18881 '융' 3\n18882 '으' 3\n18883 '은' 3\n18884 '을' 3\n18885 '음' 3\n18886 '응' 3\n18887 '의' 3\n18888 '이' 3\n18889 '익' 3\n18890 '인' 3\n18891 '일' 3\n18892 '임' 3\n18893 '입' 3\n18894 '있' 3\n18895 '잉' 3\n18896 '자' 3\n18897 '작' 3\n18898 '잔' 3\n18899 '잘' 3\n18900 '잠' 3\n18901 '잡' 3\n18902 '장' 3\n18903 '재' 3\n18904 '쟁' 3\n18905 '저' 3\n18906 '적' 3\n18907 '전' 3\n18908 '절' 3\n18909 '점' 3\n18910 '접' 3\n18911 '정' 3\n18912 '제' 3\n18913 '져' 3\n18914 '졌' 3\n18915 '조' 3\n18916 '족' 3\n18917 '존' 3\n18918 '졸' 3\n18919 '종' 3\n18920 '좋' 3\n18921 '좌' 3\n18922 '죄' 3\n18923 '죠' 3\n18924 '주' 3\n18925 '죽' 3\n18926 '준' 3\n18927 '줄' 3\n18928 '중' 3\n18929 '즈' 3\n18930 '즉' 3\n18931 '즌' 3\n18932 '즐' 3\n18933 '증' 3\n18934 '지' 3\n18935 '직' 3\n18936 '진' 3\n18937 '질' 3\n18938 '집' 3\n18939 '징' 3\n18940 '짜' 3\n18941 '째' 3\n18942 '쪽' 3\n18943 '차' 3\n18944 '착' 3\n18945 '찬' 3\n18946 '찰' 3\n18947 '참' 3\n18948 '창' 3\n18949 '찾' 3\n18950 '채' 3\n18951 '책' 3\n18952 '처' 3\n18953 '척' 3\n18954 '천' 3\n18955 '철' 3\n18956 '첫' 3\n18957 '청' 3\n18958 '체' 3\n18959 '쳐' 3\n18960 '초' 3\n18961 '촌' 3\n18962 '총' 3\n18963 '최' 3\n18964 '추' 3\n18965 '축' 3\n18966 '춘' 3\n18967 '출' 3\n18968 '충' 3\n18969 '취' 3\n18970 '츠' 3\n18971 '측' 3\n18972 '층' 3\n18973 '치' 3\n18974 '칙' 3\n18975 '친' 3\n18976 '침' 3\n18977 '칭' 3\n18978 '카' 3\n18979 '칸' 3\n18980 '칼' 3\n18981 '캐' 3\n18982 '커' 3\n18983 '컨' 3\n18984 '컬' 3\n18985 '컴' 3\n18986 '컵' 3\n18987 '케' 3\n18988 '켜' 3\n18989 '켰' 3\n18990 '코' 3\n18991 '콘' 3\n18992 '콜' 3\n18993 '쿄' 3\n18994 '쿠' 3\n18995 '크' 3\n18996 '큰' 3\n18997 '클' 3\n18998 '큼' 3\n18999 '키' 3\n19000 '킨' 3\n19001 '타' 3\n19002 '탁' 3\n19003 '탄' 3\n19004 '탈' 3\n19005 '탐' 3\n19006 '탑' 3\n19007 '태' 3\n19008 '택' 3\n19009 '터' 3\n19010 '턴' 3\n19011 '털' 3\n19012 '테' 3\n19013 '텐' 3\n19014 '텔' 3\n19015 '템' 3\n19016 '토' 3\n19017 '통' 3\n19018 '퇴' 3\n19019 '투' 3\n19020 '트' 3\n19021 '특' 3\n19022 '틀' 3\n19023 '티' 3\n19024 '틴' 3\n19025 '팀' 3\n19026 '팅' 3\n19027 '파' 3\n19028 '판' 3\n19029 '팔' 3\n19030 '패' 3\n19031 '퍼' 3\n19032 '페' 3\n19033 '편' 3\n19034 '평' 3\n19035 '폐' 3\n19036 '포' 3\n19037 '폭' 3\n19038 '폰' 3\n19039 '폴' 3\n19040 '표' 3\n19041 '푸' 3\n19042 '풀' 3\n19043 '품' 3\n19044 '풍' 3\n19045 '프' 3\n19046 '플' 3\n19047 '피' 3\n19048 '픽' 3\n19049 '핀' 3\n19050 '필' 3\n19051 '핑' 3\n19052 '하' 3\n19053 '학' 3\n19054 '한' 3\n19055 '할' 3\n19056 '함' 3\n19057 '합' 3\n19058 '항' 3\n19059 '해' 3\n19060 '핵' 3\n19061 '했' 3\n19062 '행' 3\n19063 '향' 3\n19064 '허' 3\n19065 '헌' 3\n19066 '험' 3\n19067 '헤' 3\n19068 '혀' 3\n19069 '혁' 3\n19070 '현' 3\n19071 '혈' 3\n19072 '협' 3\n19073 '혔' 3\n19074 '형' 3\n19075 '혜' 3\n19076 '호' 3\n19077 '혹' 3\n19078 '혼' 3\n19079 '홀' 3\n19080 '홈' 3\n19081 '홍' 3\n19082 '화' 3\n19083 '확' 3\n19084 '환' 3\n19085 '활' 3\n19086 '황' 3\n19087 '회' 3\n19088 '획' 3\n19089 '효' 3\n19090 '후' 3\n19091 '훈' 3\n19092 '휘' 3\n19093 '휴' 3\n19094 '흐' 3\n19095 '흥' 3\n19096 '희' 3\n19097 '히' 3\n19098 '힘' 3\n19099 '郎' 3\n19100 '凉' 3\n19101 '兀' 3\n19102 'fi' 3\n19103 '️' 3\n19104 '︰' 3\n19105 '︴' 3\n19106 '︵' 3\n19107 '︶' 3\n19108 '︾' 3\n19109 '︿' 3\n19110 '﹀' 3\n19111 '﹁' 3\n19112 '﹃' 3\n19113 '﹉' 3\n19114 '﹍' 3\n19115 '﹏' 3\n19116 '﹐' 3\n19117 '﹑' 3\n19118 '﹒' 3\n19119 '﹔' 3\n19120 '﹕' 3\n19121 '﹖' 3\n19122 '﹝' 3\n19123 '﹞' 3\n19124 '﹡' 3\n19125 '\\ufeff' 3\n19126 '！' 3\n19127 '＂' 3\n19128 '＃' 3\n19129 '＄' 3\n19130 '％' 3\n19131 '＆' 3\n19132 '＇' 3\n19133 '（' 3\n19134 '）' 3\n19135 '＊' 3\n19136 '＋' 3\n19137 '，' 3\n19138 '－' 3\n19139 '．' 3\n19140 '／' 3\n19141 '０' 3\n19142 '１' 3\n19143 '２' 3\n19144 '３' 3\n19145 '４' 3\n19146 '５' 3\n19147 '６' 3\n19148 '７' 3\n19149 '８' 3\n19150 '９' 3\n19151 '：' 3\n19152 '；' 3\n19153 '＜' 3\n19154 '＝' 3\n19155 '＞' 3\n19156 '？' 3\n19157 '＠' 3\n19158 'Ａ' 3\n19159 'Ｂ' 3\n19160 'Ｃ' 3\n19161 'Ｄ' 3\n19162 'Ｅ' 3\n19163 'Ｆ' 3\n19164 'Ｇ' 3\n19165 'Ｈ' 3\n19166 'Ｉ' 3\n19167 'Ｊ' 3\n19168 'Ｋ' 3\n19169 'Ｌ' 3\n19170 'Ｍ' 3\n19171 'Ｎ' 3\n19172 'Ｏ' 3\n19173 'Ｐ' 3\n19174 'Ｑ' 3\n19175 'Ｒ' 3\n19176 'Ｓ' 3\n19177 'Ｔ' 3\n19178 'Ｕ' 3\n19179 'Ｖ' 3\n19180 'Ｗ' 3\n19181 'Ｘ' 3\n19182 'Ｙ' 3\n19183 'Ｚ' 3\n19184 '［' 3\n19185 '＼' 3\n19186 '］' 3\n19187 '＾' 3\n19188 '＿' 3\n19189 '｀' 3\n19190 'ａ' 3\n19191 'ｂ' 3\n19192 'ｃ' 3\n19193 'ｄ' 3\n19194 'ｅ' 3\n19195 'ｆ' 3\n19196 'ｇ' 3\n19197 'ｈ' 3\n19198 'ｉ' 3\n19199 'ｊ' 3\n19200 'ｋ' 3\n19201 'ｌ' 3\n19202 'ｍ' 3\n19203 'ｎ' 3\n19204 'ｏ' 3\n19205 'ｐ' 3\n19206 'ｑ' 3\n19207 'ｒ' 3\n19208 'ｓ' 3\n19209 'ｔ' 3\n19210 'ｕ' 3\n19211 'ｖ' 3\n19212 'ｗ' 3\n19213 'ｘ' 3\n19214 'ｙ' 3\n19215 'ｚ' 3\n19216 '｛' 3\n19217 '｜' 3\n19218 '｝' 3\n19219 '～' 3\n19220 '｡' 3\n19221 '｢' 3\n19222 '｣' 3\n19223 '･' 3\n19224 'ﾉ' 3\n19225 'ﾟ' 3\n19226 '￠' 3\n19227 '￡' 3\n19228 '￢' 3\n19229 '￣' 3\n19230 '￥' 3\n19231 '' 3\n19232 '�' 3\n19233 '\\t\\t\\t\\t' 4\n19234 '\\t   ' 4\n19235 '\\n\\t\\t\\t' 4\n19236 '\\n\\t\\t ' 4\n19237 '\\n\\t  ' 4\n19238 '\\n\\n\\t\\t' 4\n19239 '\\n\\n\\n\\n' 4\n19240 '\\n\\n\\n ' 4\n19241 '\\n\\n  ' 4\n19242 '\\n   ' 4\n19243 '\\r\\n\\t\\t' 4\n19244 '\\r\\n\\r\\n' 4\n19245 '\\r\\n  ' 4\n19246 ' \\t\\t\\t' 4\n19247 ' \\n  ' 4\n19248 '  \\n ' 4\n19249 '   \\n' 4\n19250 '    ' 4\n19251 ' !!!' 4\n19252 ' !==' 4\n19253 ' \"\"\"' 4\n19254 ' \"\")' 4\n19255 ' \"\",' 4\n19256 ' \"\";' 4\n19257 ' \"${' 4\n19258 ' \"\\'\"' 4\n19259 ' \");' 4\n19260 ' \"*\"' 4\n19261 ' \",\"' 4\n19262 ' \"-\"' 4\n19263 ' \"--' 4\n19264 ' \".\"' 4\n19265 ' \"./' 4\n19266 ' \"/\"' 4\n19267 ' \":\"' 4\n19268 ' \"</' 4\n19269 ' \"=\"' 4\n19270 ' \"\\\\\"' 4\n19271 ' \"\\\\\\\\' 4\n19272 ' \"_\"' 4\n19273 ' ###' 4\n19274 \" $('\" 4\n19275 ' $\\\\{' 4\n19276 ' %>%' 4\n19277 ' \\'\"\\'' 4\n19278 \" '#'\" 4\n19279 \" '''\" 4\n19280 \" '')\" 4\n19281 \" '',\" 4\n19282 \" '';\" 4\n19283 \" '*'\" 4\n19284 \" '-'\" 4\n19285 \" '--\" 4\n19286 \" './\" 4\n19287 \" '/'\" 4\n19288 \" ':'\" 4\n19289 \" '</\" 4\n19290 \" '='\" 4\n19291 \" '_'\" 4\n19292 \" '__\" 4\n19293 ' (!(' 4\n19294 ' (%)' 4\n19295 ' (((' 4\n19296 ' ())' 4\n19297 ' (),' 4\n19298 ' ().' 4\n19299 ' ();' 4\n19300 ' (**' 4\n19301 ' (\\\\<' 4\n19302 ' (__' 4\n19303 ' (£' 4\n19304 ' («' 4\n19305 ' (±' 4\n19306 ' ***' 4\n19307 ' */,' 4\n19308 ' +/-' 4\n19309 ' -*-' 4\n19310 ' ---' 4\n19311 ' -->' 4\n19312 ' ...' 4\n19313 ' ../' 4\n19314 ' /**' 4\n19315 ' ///' 4\n19316 ' /><' 4\n19317 ' :-)' 4\n19318 ' <%=' 4\n19319 ' <--' 4\n19320 ' ===' 4\n19321 ' ==>' 4\n19322 ' >>>' 4\n19323 ' ???' 4\n19324 ' AAA' 4\n19325 ' AAP' 4\n19326 ' ABC' 4\n19327 ' ABI' 4\n19328 ' ABS' 4\n19329 ' ACC' 4\n19330 ' ACE' 4\n19331 ' ACK' 4\n19332 ' ACL' 4\n19333 ' ACS' 4\n19334 ' ACT' 4\n19335 ' ADA' 4\n19336 ' ADC' 4\n19337 ' ADD' 4\n19338 ' AES' 4\n19339 ' AFC' 4\n19340 ' AFL' 4\n19341 ' AFP' 4\n19342 ' AIR' 4\n19343 ' ALL' 4\n19344 ' ALS' 4\n19345 ' ALT' 4\n19346 ' AMD' 4\n19347 ' AMP' 4\n19348 ' ANC' 4\n19349 ' AND' 4\n19350 ' ANN' 4\n19351 ' ANY' 4\n19352 ' APC' 4\n19353 ' API' 4\n19354 ' APP' 4\n19355 ' APR' 4\n19356 ' ARE' 4\n19357 ' ARG' 4\n19358 ' ARM' 4\n19359 ' ART' 4\n19360 ' ASC' 4\n19361 ' ASD' 4\n19362 ' ASE' 4\n19363 ' ASF' 4\n19364 ' ASP' 4\n19365 ' ASS' 4\n19366 ' AST' 4\n19367 ' ATM' 4\n19368 ' ATP' 4\n19369 ' ATT' 4\n19370 ' AUT' 4\n19371 ' AWS' 4\n19372 ' Abb' 4\n19373 ' Abd' 4\n19374 ' Abe' 4\n19375 ' Abl' 4\n19376 ' Abr' 4\n19377 ' Abs' 4\n19378 ' Abu' 4\n19379 ' Acc' 4\n19380 ' Ace' 4\n19381 ' Ach' 4\n19382 ' Act' 4\n19383 ' Ada' 4\n19384 ' Add' 4\n19385 ' Ade' 4\n19386 ' Adv' 4\n19387 ' Aer' 4\n19388 ' Aff' 4\n19389 ' Afr' 4\n19390 ' Age' 4\n19391 ' Agg' 4\n19392 ' Agr' 4\n19393 ' Agu' 4\n19394 ' Aid' 4\n19395 ' Aim' 4\n19396 ' Ain' 4\n19397 ' Air' 4\n19398 ' Akt' 4\n19399 ' Ala' 4\n19400 ' Alb' 4\n19401 ' Alc' 4\n19402 ' Ald' 4\n19403 ' Ale' 4\n19404 ' Alf' 4\n19405 ' Alg' 4\n19406 ' Ali' 4\n19407 ' All' 4\n19408 ' Alo' 4\n19409 ' Als' 4\n19410 ' Alt' 4\n19411 ' Ama' 4\n19412 ' Amb' 4\n19413 ' Amp' 4\n19414 ' Amy' 4\n19415 ' Ana' 4\n19416 ' Anc' 4\n19417 ' And' 4\n19418 ' Ang' 4\n19419 ' Ank' 4\n19420 ' Ann' 4\n19421 ' Ans' 4\n19422 ' Ant' 4\n19423 ' Any' 4\n19424 ' Aph' 4\n19425 ' Api' 4\n19426 ' App' 4\n19427 ' Apr' 4\n19428 ' Aqu' 4\n19429 ' Ara' 4\n19430 ' Arc' 4\n19431 ' Are' 4\n19432 ' Arg' 4\n19433 ' Ari' 4\n19434 ' Ark' 4\n19435 ' Arm' 4\n19436 ' Arn' 4\n19437 ' Arr' 4\n19438 ' Ars' 4\n19439 ' Art' 4\n19440 ' Asc' 4\n19441 ' Ash' 4\n19442 ' Ask' 4\n19443 ' Asp' 4\n19444 ' Ass' 4\n19445 ' Ast' 4\n19446 ' Ath' 4\n19447 ' Atl' 4\n19448 ' Att' 4\n19449 ' Aub' 4\n19450 ' Aud' 4\n19451 ' Auf' 4\n19452 ' Aug' 4\n19453 ' Aur' 4\n19454 ' Aus' 4\n19455 ' Aut' 4\n19456 ' Aux' 4\n19457 ' Ave' 4\n19458 ' Aβ' 4\n19459 ' BAL' 4\n19460 ' BAR' 4\n19461 ' BAS' 4\n19462 ' BAT' 4\n19463 ' BBB' 4\n19464 ' BBC' 4\n19465 ' BCE' 4\n19466 ' BEL' 4\n19467 ' BET' 4\n19468 ' BIG' 4\n19469 ' BIN' 4\n19470 ' BIT' 4\n19471 ' BJP' 4\n19472 ' BMC' 4\n19473 ' BMI' 4\n19474 ' BMP' 4\n19475 ' BMW' 4\n19476 ' BRE' 4\n19477 ' BSD' 4\n19478 ' BTC' 4\n19479 ' BUS' 4\n19480 ' BUT' 4\n19481 ' Bab' 4\n19482 ' Bac' 4\n19483 ' Bad' 4\n19484 ' Bag' 4\n19485 ' Bah' 4\n19486 ' Bai' 4\n19487 ' Bak' 4\n19488 ' Bal' 4\n19489 ' Bam' 4\n19490 ' Ban' 4\n19491 ' Bar' 4\n19492 ' Bas' 4\n19493 ' Bat' 4\n19494 ' Bau' 4\n19495 ' Bav' 4\n19496 ' Bay' 4\n19497 ' Baz' 4\n19498 ' Bea' 4\n19499 ' Bec' 4\n19500 ' Bed' 4\n19501 ' Bee' 4\n19502 ' Beg' 4\n19503 ' Beh' 4\n19504 ' Bei' 4\n19505 ' Bek' 4\n19506 ' Bel' 4\n19507 ' Ben' 4\n19508 ' Ber' 4\n19509 ' Bes' 4\n19510 ' Bet' 4\n19511 ' Bew' 4\n19512 ' Bey' 4\n19513 ' Bez' 4\n19514 ' Bib' 4\n19515 ' Bid' 4\n19516 ' Big' 4\n19517 ' Bij' 4\n19518 ' Bil' 4\n19519 ' Bin' 4\n19520 ' Bio' 4\n19521 ' Bir' 4\n19522 ' Bis' 4\n19523 ' Bit' 4\n19524 ' Ble' 4\n19525 ' Blo' 4\n19526 ' Blu' 4\n19527 ' Bob' 4\n19528 ' Bod' 4\n19529 ' Bog' 4\n19530 ' Boh' 4\n19531 ' Bol' 4\n19532 ' Bom' 4\n19533 ' Bon' 4\n19534 ' Bor' 4\n19535 ' Bos' 4\n19536 ' Bot' 4\n19537 ' Bou' 4\n19538 ' Bow' 4\n19539 ' Box' 4\n19540 ' Boy' 4\n19541 ' Bra' 4\n19542 ' Bre' 4\n19543 ' Bri' 4\n19544 ' Bro' 4\n19545 ' Bru' 4\n19546 ' Bry' 4\n19547 ' Buc' 4\n19548 ' Bud' 4\n19549 ' Bug' 4\n19550 ' Buk' 4\n19551 ' Bul' 4\n19552 ' Bun' 4\n19553 ' Bur' 4\n19554 ' Bus' 4\n19555 ' But' 4\n19556 ' Buy' 4\n19557 ' Byr' 4\n19558 ' Byz' 4\n19559 ' Bé' 4\n19560 ' Bö' 4\n19561 ' Bü' 4\n19562 ' CAB' 4\n19563 ' CAD' 4\n19564 ' CAL' 4\n19565 ' CAM' 4\n19566 ' CAN' 4\n19567 ' CAP' 4\n19568 ' CAR' 4\n19569 ' CAS' 4\n19570 ' CAT' 4\n19571 ' CBC' 4\n19572 ' CBD' 4\n19573 ' CBS' 4\n19574 ' CCC' 4\n19575 ' CCD' 4\n19576 ' CCT' 4\n19577 ' CDC' 4\n19578 ' CDs' 4\n19579 ' CEO' 4\n19580 ' CES' 4\n19581 ' CGI' 4\n19582 ' CHE' 4\n19583 ' CHO' 4\n19584 ' CIA' 4\n19585 ' CID' 4\n19586 ' CIF' 4\n19587 ' CIS' 4\n19588 ' CIT' 4\n19589 ' CLA' 4\n19590 ' CLI' 4\n19591 ' CMD' 4\n19592 ' CMS' 4\n19593 ' CNN' 4\n19594 ' CNS' 4\n19595 ' COL' 4\n19596 ' COM' 4\n19597 ' CON' 4\n19598 ' COP' 4\n19599 ' COR' 4\n19600 ' COS' 4\n19601 ' CPR' 4\n19602 ' CPU' 4\n19603 ' CRC' 4\n19604 ' CRE' 4\n19605 ' CRM' 4\n19606 ' CSR' 4\n19607 ' CSS' 4\n19608 ' CST' 4\n19609 ' CSV' 4\n19610 ' CTR' 4\n19611 ' CUR' 4\n19612 ' Cab' 4\n19613 ' Cad' 4\n19614 ' Caf' 4\n19615 ' Cal' 4\n19616 ' Cam' 4\n19617 ' Can' 4\n19618 ' Cap' 4\n19619 ' Car' 4\n19620 ' Cas' 4\n19621 ' Cat' 4\n19622 ' Cav' 4\n19623 ' Cay' 4\n19624 ' Cec' 4\n19625 ' Ced' 4\n19626 ' Cel' 4\n19627 ' Cer' 4\n19628 ' Ces' 4\n19629 ' Cet' 4\n19630 ' Cha' 4\n19631 ' Che' 4\n19632 ' Chi' 4\n19633 ' Cho' 4\n19634 ' Chr' 4\n19635 ' Chu' 4\n19636 ' Cic' 4\n19637 ' Cin' 4\n19638 ' Cir' 4\n19639 ' Cit' 4\n19640 ' Civ' 4\n19641 ' Cla' 4\n19642 ' Cle' 4\n19643 ' Cli' 4\n19644 ' Clo' 4\n19645 ' Cly' 4\n19646 ' Cob' 4\n19647 ' Coc' 4\n19648 ' Cod' 4\n19649 ' Coh' 4\n19650 ' Col' 4\n19651 ' Com' 4\n19652 ' Con' 4\n19653 ' Cop' 4\n19654 ' Cor' 4\n19655 ' Cos' 4\n19656 ' Cot' 4\n19657 ' Cou' 4\n19658 ' Cov' 4\n19659 ' Cow' 4\n19660 ' Cox' 4\n19661 ' Coy' 4\n19662 ' Cra' 4\n19663 ' Cre' 4\n19664 ' Cri' 4\n19665 ' Cro' 4\n19666 ' Cru' 4\n19667 ' Cry' 4\n19668 ' Cub' 4\n19669 ' Cul' 4\n19670 ' Cum' 4\n19671 ' Cup' 4\n19672 ' Cur' 4\n19673 ' Cut' 4\n19674 ' Cyr' 4\n19675 ' DAC' 4\n19676 ' DAG' 4\n19677 ' DAM' 4\n19678 ' DAR' 4\n19679 ' DAT' 4\n19680 ' DAY' 4\n19681 ' DDR' 4\n19682 ' DEA' 4\n19683 ' DEC' 4\n19684 ' DEF' 4\n19685 ' DEL' 4\n19686 ' DEM' 4\n19687 ' DEN' 4\n19688 ' DEP' 4\n19689 ' DES' 4\n19690 ' DET' 4\n19691 ' DEV' 4\n19692 ' DFS' 4\n19693 ' DHS' 4\n19694 ' DID' 4\n19695 ' DIG' 4\n19696 ' DIR' 4\n19697 ' DIS' 4\n19698 ' DIV' 4\n19699 ' DIY' 4\n19700 ' DLL' 4\n19701 ' DNA' 4\n19702 ' DNS' 4\n19703 ' DOC' 4\n19704 ' DOI' 4\n19705 ' DOM' 4\n19706 ' DON' 4\n19707 ' DOS' 4\n19708 ' DOT' 4\n19709 ' DSL' 4\n19710 ' DSM' 4\n19711 ' DVD' 4\n19712 ' Dad' 4\n19713 ' Dag' 4\n19714 ' Dah' 4\n19715 ' Dai' 4\n19716 ' Dak' 4\n19717 ' Dal' 4\n19718 ' Dam' 4\n19719 ' Dan' 4\n19720 ' Dar' 4\n19721 ' Das' 4\n19722 ' Dat' 4\n19723 ' Dav' 4\n19724 ' Daw' 4\n19725 ' Day' 4\n19726 ' Deb' 4\n19727 ' Dec' 4\n19728 ' Ded' 4\n19729 ' Dee' 4\n19730 ' Def' 4\n19731 ' Deg' 4\n19732 ' Dek' 4\n19733 ' Del' 4\n19734 ' Dem' 4\n19735 ' Den' 4\n19736 ' Dep' 4\n19737 ' Der' 4\n19738 ' Des' 4\n19739 ' Det' 4\n19740 ' Dev' 4\n19741 ' Dew' 4\n19742 ' Dex' 4\n19743 ' Dez' 4\n19744 ' Dia' 4\n19745 ' Did' 4\n19746 ' Die' 4\n19747 ' Dig' 4\n19748 ' Dil' 4\n19749 ' Dim' 4\n19750 ' Din' 4\n19751 ' Dip' 4\n19752 ' Dir' 4\n19753 ' Dis' 4\n19754 ' Dit' 4\n19755 ' Div' 4\n19756 ' Dix' 4\n19757 ' Dob' 4\n19758 ' Doc' 4\n19759 ' Dod' 4\n19760 ' Doe' 4\n19761 ' Dog' 4\n19762 ' Dok' 4\n19763 ' Dol' 4\n19764 ' Dom' 4\n19765 ' Don' 4\n19766 ' Dop' 4\n19767 ' Dor' 4\n19768 ' Dos' 4\n19769 ' Dot' 4\n19770 ' Dou' 4\n19771 ' Dow' 4\n19772 ' Dra' 4\n19773 ' Dre' 4\n19774 ' Dro' 4\n19775 ' Dru' 4\n19776 ' Dry' 4\n19777 ' Dub' 4\n19778 ' Duc' 4\n19779 ' Dud' 4\n19780 ' Due' 4\n19781 ' Dul' 4\n19782 ' Dum' 4\n19783 ' Dun' 4\n19784 ' Duo' 4\n19785 ' Dup' 4\n19786 ' Dur' 4\n19787 ' Dyn' 4\n19788 ' Dé' 4\n19789 ' Dí' 4\n19790 ' ECM' 4\n19791 ' EEG' 4\n19792 ' EMP' 4\n19793 ' EMS' 4\n19794 ' END' 4\n19795 ' ENG' 4\n19796 ' EOF' 4\n19797 ' EOS' 4\n19798 ' EPA' 4\n19799 ' EPS' 4\n19800 ' ERA' 4\n19801 ' ERR' 4\n19802 ' ESA' 4\n19803 ' ESC' 4\n19804 ' ESP' 4\n19805 ' EST' 4\n19806 ' ETH' 4\n19807 ' EUR' 4\n19808 ' EXP' 4\n19809 ' EXT' 4\n19810 ' Ear' 4\n19811 ' Eat' 4\n19812 ' Eck' 4\n19813 ' Eco' 4\n19814 ' Edd' 4\n19815 ' Edu' 4\n19816 ' Eff' 4\n19817 ' Egg' 4\n19818 ' Ein' 4\n19819 ' Eld' 4\n19820 ' Ele' 4\n19821 ' Eli' 4\n19822 ' Ell' 4\n19823 ' Emb' 4\n19824 ' Emp' 4\n19825 ' Enc' 4\n19826 ' End' 4\n19827 ' Eng' 4\n19828 ' Enh' 4\n19829 ' Ens' 4\n19830 ' Ent' 4\n19831 ' Env' 4\n19832 ' Eph' 4\n19833 ' Equ' 4\n19834 ' Era' 4\n19835 ' Erd' 4\n19836 ' Ern' 4\n19837 ' Err' 4\n19838 ' Esc' 4\n19839 ' Esp' 4\n19840 ' Ess' 4\n19841 ' Est' 4\n19842 ' Eth' 4\n19843 ' Eug' 4\n19844 ' Eur' 4\n19845 ' Eva' 4\n19846 ' Eve' 4\n19847 ' Exc' 4\n19848 ' Exp' 4\n19849 ' Ext' 4\n19850 ' Eye' 4\n19851 ' FAA' 4\n19852 ' FAC' 4\n19853 ' FAQ' 4\n19854 ' FAR' 4\n19855 ' FAT' 4\n19856 ' FBI' 4\n19857 ' FCC' 4\n19858 ' FDA' 4\n19859 ' FFT' 4\n19860 ' FIF' 4\n19861 ' FIG' 4\n19862 ' FIL' 4\n19863 ' FIN' 4\n19864 ' FIR' 4\n19865 ' FIT' 4\n19866 ' FIX' 4\n19867 ' FOR' 4\n19868 ' FOX' 4\n19869 ' FPS' 4\n19870 ' FTP' 4\n19871 ' FUN' 4\n19872 ' Fab' 4\n19873 ' Fac' 4\n19874 ' Fah' 4\n19875 ' Fal' 4\n19876 ' Fam' 4\n19877 ' Fan' 4\n19878 ' Far' 4\n19879 ' Fas' 4\n19880 ' Fat' 4\n19881 ' Fay' 4\n19882 ' Feb' 4\n19883 ' Fed' 4\n19884 ' Fel' 4\n19885 ' Fem' 4\n19886 ' Fen' 4\n19887 ' Fer' 4\n19888 ' Fet' 4\n19889 ' Few' 4\n19890 ' Fib' 4\n19891 ' Fif' 4\n19892 ' Fig' 4\n19893 ' Fil' 4\n19894 ' Fin' 4\n19895 ' Fir' 4\n19896 ' Fit' 4\n19897 ' Fix' 4\n19898 ' Fla' 4\n19899 ' Fle' 4\n19900 ' Flo' 4\n19901 ' Flu' 4\n19902 ' Fly' 4\n19903 ' Fog' 4\n19904 ' Fol' 4\n19905 ' Fon' 4\n19906 ' Foo' 4\n19907 ' For' 4\n19908 ' Fot' 4\n19909 ' Fou' 4\n19910 ' Fox' 4\n19911 ' Fra' 4\n19912 ' Fre' 4\n19913 ' Fri' 4\n19914 ' Fro' 4\n19915 ' Fry' 4\n19916 ' Fuj' 4\n19917 ' Fuk' 4\n19918 ' Ful' 4\n19919 ' Fun' 4\n19920 ' Fur' 4\n19921 ' Fut' 4\n19922 ' Fé' 4\n19923 ' GAM' 4\n19924 ' GCC' 4\n19925 ' GDP' 4\n19926 ' GEN' 4\n19927 ' GET' 4\n19928 ' GFP' 4\n19929 ' GHz' 4\n19930 ' GMT' 4\n19931 ' GNU' 4\n19932 ' GOD' 4\n19933 ' GOP' 4\n19934 ' GPL' 4\n19935 ' GPS' 4\n19936 ' GPU' 4\n19937 ' GRE' 4\n19938 ' GRO' 4\n19939 ' GSM' 4\n19940 ' GST' 4\n19941 ' GUI' 4\n19942 ' Gab' 4\n19943 ' Gad' 4\n19944 ' Gal' 4\n19945 ' Gam' 4\n19946 ' Gan' 4\n19947 ' Gap' 4\n19948 ' Gar' 4\n19949 ' Gas' 4\n19950 ' Gat' 4\n19951 ' Gay' 4\n19952 ' Gaz' 4\n19953 ' GeV' 4\n19954 ' Geb' 4\n19955 ' Ged' 4\n19956 ' Geg' 4\n19957 ' Gel' 4\n19958 ' Gem' 4\n19959 ' Gen' 4\n19960 ' Geo' 4\n19961 ' Ger' 4\n19962 ' Ges' 4\n19963 ' Get' 4\n19964 ' Gew' 4\n19965 ' Gib' 4\n19966 ' Gig' 4\n19967 ' Gil' 4\n19968 ' Gin' 4\n19969 ' Gir' 4\n19970 ' Git' 4\n19971 ' Gle' 4\n19972 ' Gly' 4\n19973 ' Gob' 4\n19974 ' God' 4\n19975 ' Gol' 4\n19976 ' Gon' 4\n19977 ' Gor' 4\n19978 ' Gos' 4\n19979 ' Got' 4\n19980 ' Gov' 4\n19981 ' Gow' 4\n19982 ' Gra' 4\n19983 ' Gre' 4\n19984 ' Gri' 4\n19985 ' Gro' 4\n19986 ' Gru' 4\n19987 ' Gtk' 4\n19988 ' Gul' 4\n19989 ' Gum' 4\n19990 ' Gun' 4\n19991 ' Gur' 4\n19992 ' Gus' 4\n19993 ' Gut' 4\n19994 ' Guy' 4\n19995 ' Gym' 4\n19996 ' Gä' 4\n19997 ' Gé' 4\n19998 ' Gó' 4\n19999 ' Gö' 4\n20000 ' Gü' 4\n20001 ' HAL' 4\n20002 ' HAR' 4\n20003 ' HAS' 4\n20004 ' HBO' 4\n20005 ' HEL' 4\n20006 ' HER' 4\n20007 ' HIS' 4\n20008 ' HIV' 4\n20009 ' HMS' 4\n20010 ' HOW' 4\n20011 ' HPV' 4\n20012 ' HTC' 4\n20013 ' Hab' 4\n20014 ' Had' 4\n20015 ' Hag' 4\n20016 ' Hai' 4\n20017 ' Haj' 4\n20018 ' Hak' 4\n20019 ' Hal' 4\n20020 ' Ham' 4\n20021 ' Han' 4\n20022 ' Har' 4\n20023 ' Has' 4\n20024 ' Hat' 4\n20025 ' Hav' 4\n20026 ' Haw' 4\n20027 ' Hay' 4\n20028 ' Haz' 4\n20029 ' Heb' 4\n20030 ' Hed' 4\n20031 ' Hel' 4\n20032 ' Hem' 4\n20033 ' Hen' 4\n20034 ' Hep' 4\n20035 ' Her' 4\n20036 ' Het' 4\n20037 ' Hew' 4\n20038 ' Hex' 4\n20039 ' Hey' 4\n20040 ' Hib' 4\n20041 ' Hig' 4\n20042 ' Hij' 4\n20043 ' Hil' 4\n20044 ' Him' 4\n20045 ' Hin' 4\n20046 ' Hip' 4\n20047 ' Hir' 4\n20048 ' His' 4\n20049 ' Hit' 4\n20050 ' Hmm' 4\n20051 ' Hob' 4\n20052 ' Hod' 4\n20053 ' Hof' 4\n20054 ' Hog' 4\n20055 ' Hol' 4\n20056 ' Hom' 4\n20057 ' Hon' 4\n20058 ' Hop' 4\n20059 ' Hor' 4\n20060 ' Hos' 4\n20061 ' Hot' 4\n20062 ' Hou' 4\n20063 ' How' 4\n20064 ' Hoy' 4\n20065 ' Hua' 4\n20066 ' Hub' 4\n20067 ' Hud' 4\n20068 ' Hug' 4\n20069 ' Hum' 4\n20070 ' Hun' 4\n20071 ' Hur' 4\n20072 ' Hus' 4\n20073 ' Hut' 4\n20074 ' Hyp' 4\n20075 ' Hä' 4\n20076 ' Hö' 4\n20077 ' IBM' 4\n20078 ' ICC' 4\n20079 ' ICE' 4\n20080 ' ICO' 4\n20081 ' ICT' 4\n20082 ' ICU' 4\n20083 ' IDE' 4\n20084 ' IDs' 4\n20085 ' III' 4\n20086 ' IIS' 4\n20087 ' IMF' 4\n20088 ' IMP' 4\n20089 ' INC' 4\n20090 ' IND' 4\n20091 ' INF' 4\n20092 ' INS' 4\n20093 ' INT' 4\n20094 ' IPA' 4\n20095 ' IPO' 4\n20096 ' IPS' 4\n20097 ' IPv' 4\n20098 ' IRA' 4\n20099 ' IRC' 4\n20100 ' IRS' 4\n20101 ' ISO' 4\n20102 ' ISP' 4\n20103 ' ISS' 4\n20104 ' ITE' 4\n20105 ' ITS' 4\n20106 ' Ian' 4\n20107 ' Ice' 4\n20108 ' Ich' 4\n20109 ' Ide' 4\n20110 ' Ign' 4\n20111 ' Ill' 4\n20112 ' Ils' 4\n20113 ' Imm' 4\n20114 ' Imp' 4\n20115 ' Inc' 4\n20116 ' Ind' 4\n20117 ' Inf' 4\n20118 ' Ing' 4\n20119 ' Ink' 4\n20120 ' Inn' 4\n20121 ' Ins' 4\n20122 ' Int' 4\n20123 ' Inv' 4\n20124 ' IoT' 4\n20125 ' Ion' 4\n20126 ' Ips' 4\n20127 ' Ira' 4\n20128 ' Isa' 4\n20129 ' Ish' 4\n20130 ' Isl' 4\n20131 ' Isn' 4\n20132 ' Iss' 4\n20133 ' Ist' 4\n20134 ' Its' 4\n20135 ' Ivy' 4\n20136 ' JVM' 4\n20137 ' Jab' 4\n20138 ' Jac' 4\n20139 ' Jag' 4\n20140 ' Jah' 4\n20141 ' Jak' 4\n20142 ' Jal' 4\n20143 ' Jam' 4\n20144 ' Jan' 4\n20145 ' Jar' 4\n20146 ' Jas' 4\n20147 ' Jaw' 4\n20148 ' Jay' 4\n20149 ' Jed' 4\n20150 ' Jen' 4\n20151 ' Jer' 4\n20152 ' Jes' 4\n20153 ' Jet' 4\n20154 ' Jew' 4\n20155 ' Jim' 4\n20156 ' Jin' 4\n20157 ' Job' 4\n20158 ' Joe' 4\n20159 ' Joh' 4\n20160 ' Jon' 4\n20161 ' Jos' 4\n20162 ' Joy' 4\n20163 ' Jub' 4\n20164 ' Jud' 4\n20165 ' Jug' 4\n20166 ' Jul' 4\n20167 ' Jun' 4\n20168 ' Jur' 4\n20169 ' Já' 4\n20170 ' Jó' 4\n20171 ' KDE' 4\n20172 ' KEY' 4\n20173 ' Kab' 4\n20174 ' Kad' 4\n20175 ' Kag' 4\n20176 ' Kah' 4\n20177 ' Kai' 4\n20178 ' Kak' 4\n20179 ' Kal' 4\n20180 ' Kam' 4\n20181 ' Kan' 4\n20182 ' Kap' 4\n20183 ' Kar' 4\n20184 ' Kas' 4\n20185 ' Kat' 4\n20186 ' Kaw' 4\n20187 ' Kay' 4\n20188 ' Kaz' 4\n20189 ' Kel' 4\n20190 ' Kem' 4\n20191 ' Ken' 4\n20192 ' Ker' 4\n20193 ' Kes' 4\n20194 ' Ket' 4\n20195 ' Key' 4\n20196 ' Kid' 4\n20197 ' Kil' 4\n20198 ' Kim' 4\n20199 ' Kin' 4\n20200 ' Kir' 4\n20201 ' Kit' 4\n20202 ' Kle' 4\n20203 ' Kob' 4\n20204 ' Kod' 4\n20205 ' Koh' 4\n20206 ' Kok' 4\n20207 ' Kol' 4\n20208 ' Kom' 4\n20209 ' Kon' 4\n20210 ' Kop' 4\n20211 ' Kor' 4\n20212 ' Kos' 4\n20213 ' Kot' 4\n20214 ' Kou' 4\n20215 ' Kov' 4\n20216 ' Kra' 4\n20217 ' Kre' 4\n20218 ' Kro' 4\n20219 ' Kub' 4\n20220 ' Kul' 4\n20221 ' Kum' 4\n20222 ' Kun' 4\n20223 ' Kur' 4\n20224 ' Kut' 4\n20225 ' Kö' 4\n20226 ' Kü' 4\n20227 ' LAB' 4\n20228 ' LAN' 4\n20229 ' LAP' 4\n20230 ' LAS' 4\n20231 ' LAT' 4\n20232 ' LAW' 4\n20233 ' LCD' 4\n20234 ' LDL' 4\n20235 ' LED' 4\n20236 ' LEG' 4\n20237 ' LET' 4\n20238 ' LIB' 4\n20239 ' LIM' 4\n20240 ' LIN' 4\n20241 ' LLC' 4\n20242 ' LLP' 4\n20243 ' LOC' 4\n20244 ' LOG' 4\n20245 ' LOL' 4\n20246 ' LOS' 4\n20247 ' LOT' 4\n20248 ' LPS' 4\n20249 ' LSD' 4\n20250 ' LTE' 4\n20251 ' Lab' 4\n20252 ' Lac' 4\n20253 ' Lad' 4\n20254 ' Laf' 4\n20255 ' Lag' 4\n20256 ' Lah' 4\n20257 ' Lak' 4\n20258 ' Lal' 4\n20259 ' Lam' 4\n20260 ' Lan' 4\n20261 ' Lap' 4\n20262 ' Lar' 4\n20263 ' Las' 4\n20264 ' Lat' 4\n20265 ' Lau' 4\n20266 ' Lav' 4\n20267 ' Law' 4\n20268 ' Lay' 4\n20269 ' Laz' 4\n20270 ' Leb' 4\n20271 ' Lec' 4\n20272 ' Led' 4\n20273 ' Lee' 4\n20274 ' Leg' 4\n20275 ' Leh' 4\n20276 ' Lei' 4\n20277 ' Lem' 4\n20278 ' Len' 4\n20279 ' Leo' 4\n20280 ' Ler' 4\n20281 ' Les' 4\n20282 ' Let' 4\n20283 ' Lev' 4\n20284 ' Lew' 4\n20285 ' Lex' 4\n20286 ' Ley' 4\n20287 ' Lia' 4\n20288 ' Lib' 4\n20289 ' Lic' 4\n20290 ' Lid' 4\n20291 ' Lie' 4\n20292 ' Lif' 4\n20293 ' Lig' 4\n20294 ' Lik' 4\n20295 ' Lil' 4\n20296 ' Lim' 4\n20297 ' Lin' 4\n20298 ' Lip' 4\n20299 ' Lis' 4\n20300 ' Lit' 4\n20301 ' Liu' 4\n20302 ' Liv' 4\n20303 ' Liz' 4\n20304 ' Lob' 4\n20305 ' Loc' 4\n20306 ' Log' 4\n20307 ' Lok' 4\n20308 ' Lon' 4\n20309 ' Lor' 4\n20310 ' Los' 4\n20311 ' Lot' 4\n20312 ' Lou' 4\n20313 ' Lov' 4\n20314 ' Low' 4\n20315 ' Ltd' 4\n20316 ' Lua' 4\n20317 ' Lub' 4\n20318 ' Luc' 4\n20319 ' Lud' 4\n20320 ' Lug' 4\n20321 ' Luk' 4\n20322 ' Lum' 4\n20323 ' Lun' 4\n20324 ' Lup' 4\n20325 ' Lux' 4\n20326 ' Lyn' 4\n20327 ' Lys' 4\n20328 ' Lé' 4\n20329 ' Lö' 4\n20330 ' Lü' 4\n20331 ' MAC' 4\n20332 ' MAG' 4\n20333 ' MAL' 4\n20334 ' MAN' 4\n20335 ' MAP' 4\n20336 ' MAR' 4\n20337 ' MAS' 4\n20338 ' MAT' 4\n20339 ' MAX' 4\n20340 ' MAY' 4\n20341 ' MBA' 4\n20342 ' MED' 4\n20343 ' MEM' 4\n20344 ' MEN' 4\n20345 ' MEP' 4\n20346 ' MER' 4\n20347 ' MET' 4\n20348 ' MHz' 4\n20349 ' MIC' 4\n20350 ' MID' 4\n20351 ' MIL' 4\n20352 ' MIN' 4\n20353 ' MIS' 4\n20354 ' MIT' 4\n20355 ' MLB' 4\n20356 ' MLP' 4\n20357 ' MLS' 4\n20358 ' MMA' 4\n20359 ' MMP' 4\n20360 ' MOD' 4\n20361 ' MON' 4\n20362 ' MOR' 4\n20363 ' MOS' 4\n20364 ' MOT' 4\n20365 ' MPI' 4\n20366 ' MPs' 4\n20367 ' MRI' 4\n20368 ' MSC' 4\n20369 ' MSE' 4\n20370 ' MSG' 4\n20371 ' MSM' 4\n20372 ' MTV' 4\n20373 ' MUS' 4\n20374 ' MVC' 4\n20375 ' MVP' 4\n20376 ' Mac' 4\n20377 ' Mad' 4\n20378 ' Mae' 4\n20379 ' Mag' 4\n20380 ' Mah' 4\n20381 ' Mai' 4\n20382 ' Maj' 4\n20383 ' Mak' 4\n20384 ' Mal' 4\n20385 ' Mam' 4\n20386 ' Man' 4\n20387 ' Mao' 4\n20388 ' Map' 4\n20389 ' Mar' 4\n20390 ' Mas' 4\n20391 ' Mat' 4\n20392 ' Mau' 4\n20393 ' Max' 4\n20394 ' May' 4\n20395 ' Maz' 4\n20396 ' McC' 4\n20397 ' McD' 4\n20398 ' McG' 4\n20399 ' McK' 4\n20400 ' McL' 4\n20401 ' McN' 4\n20402 ' MeV' 4\n20403 ' Med' 4\n20404 ' Meg' 4\n20405 ' Meh' 4\n20406 ' Mei' 4\n20407 ' Mel' 4\n20408 ' Mem' 4\n20409 ' Men' 4\n20410 ' Mer' 4\n20411 ' Mes' 4\n20412 ' Met' 4\n20413 ' Mex' 4\n20414 ' Mey' 4\n20415 ' Mia' 4\n20416 ' Mic' 4\n20417 ' Mid' 4\n20418 ' Mig' 4\n20419 ' Mik' 4\n20420 ' Mil' 4\n20421 ' Mim' 4\n20422 ' Min' 4\n20423 ' Mir' 4\n20424 ' Mis' 4\n20425 ' Mit' 4\n20426 ' Mix' 4\n20427 ' Miy' 4\n20428 ' Miz' 4\n20429 ' Mob' 4\n20430 ' Mod' 4\n20431 ' Mog' 4\n20432 ' Moh' 4\n20433 ' Mol' 4\n20434 ' Mom' 4\n20435 ' Mon' 4\n20436 ' Mor' 4\n20437 ' Mos' 4\n20438 ' Mot' 4\n20439 ' Mou' 4\n20440 ' Mov' 4\n20441 ' Moy' 4\n20442 ' Moz' 4\n20443 ' Mrs' 4\n20444 ' Msg' 4\n20445 ' Mud' 4\n20446 ' Mug' 4\n20447 ' Muk' 4\n20448 ' Mul' 4\n20449 ' Mum' 4\n20450 ' Mun' 4\n20451 ' Mur' 4\n20452 ' Mus' 4\n20453 ' Mut' 4\n20454 ' Mys' 4\n20455 ' Mé' 4\n20456 ' Mö' 4\n20457 ' Mü' 4\n20458 ' NAD' 4\n20459 ' NAS' 4\n20460 ' NAT' 4\n20461 ' NBA' 4\n20462 ' NBC' 4\n20463 ' NEC' 4\n20464 ' NET' 4\n20465 ' NEW' 4\n20466 ' NFC' 4\n20467 ' NFL' 4\n20468 ' NGC' 4\n20469 ' NGO' 4\n20470 ' NHL' 4\n20471 ' NHS' 4\n20472 ' NIC' 4\n20473 ' NIH' 4\n20474 ' NON' 4\n20475 ' NOR' 4\n20476 ' NOT' 4\n20477 ' NOW' 4\n20478 ' NPC' 4\n20479 ' NPR' 4\n20480 ' NRA' 4\n20481 ' NSA' 4\n20482 ' NSW' 4\n20483 ' NUM' 4\n20484 ' NYC' 4\n20485 ' NaN' 4\n20486 ' Nab' 4\n20487 ' Nad' 4\n20488 ' Nag' 4\n20489 ' Nah' 4\n20490 ' Naj' 4\n20491 ' Nak' 4\n20492 ' Nam' 4\n20493 ' Nan' 4\n20494 ' Nap' 4\n20495 ' Nar' 4\n20496 ' Nas' 4\n20497 ' Nat' 4\n20498 ' Nav' 4\n20499 ' Naz' 4\n20500 ' Neb' 4\n20501 ' Nec' 4\n20502 ' Ned' 4\n20503 ' Neg' 4\n20504 ' Nel' 4\n20505 ' Nem' 4\n20506 ' Neo' 4\n20507 ' Nep' 4\n20508 ' Ner' 4\n20509 ' Net' 4\n20510 ' Neu' 4\n20511 ' Nev' 4\n20512 ' New' 4\n20513 ' Nex' 4\n20514 ' Nic' 4\n20515 ' Nie' 4\n20516 ' Nig' 4\n20517 ' Nik' 4\n20518 ' Nil' 4\n20519 ' Nim' 4\n20520 ' Nin' 4\n20521 ' Nit' 4\n20522 ' Nob' 4\n20523 ' Nom' 4\n20524 ' Non' 4\n20525 ' Nor' 4\n20526 ' Nos' 4\n20527 ' Not' 4\n20528 ' Nou' 4\n20529 ' Nov' 4\n20530 ' Now' 4\n20531 ' Nug' 4\n20532 ' Num' 4\n20533 ' Nun' 4\n20534 ' Nur' 4\n20535 ' Nut' 4\n20536 ' Nä' 4\n20537 ' Né' 4\n20538 ' OCD' 4\n20539 ' OCT' 4\n20540 ' OFF' 4\n20541 ' ONE' 4\n20542 ' OPT' 4\n20543 ' OUR' 4\n20544 ' OUT' 4\n20545 ' Oak' 4\n20546 ' Obj' 4\n20547 ' Obl' 4\n20548 ' Obs' 4\n20549 ' Occ' 4\n20550 ' Oct' 4\n20551 ' Odd' 4\n20552 ' Off' 4\n20553 ' Oil' 4\n20554 ' Old' 4\n20555 ' Ole' 4\n20556 ' One' 4\n20557 ' Ont' 4\n20558 ' Opp' 4\n20559 ' Ops' 4\n20560 ' Opt' 4\n20561 ' Orb' 4\n20562 ' Ord' 4\n20563 ' Ore' 4\n20564 ' Org' 4\n20565 ' Ori' 4\n20566 ' Orn' 4\n20567 ' Ort' 4\n20568 ' Osc' 4\n20569 ' Ost' 4\n20570 ' Ott' 4\n20571 ' Our' 4\n20572 ' Out' 4\n20573 ' Own' 4\n20574 ' PAC' 4\n20575 ' PAD' 4\n20576 ' PAL' 4\n20577 ' PAN' 4\n20578 ' PAR' 4\n20579 ' PAS' 4\n20580 ' PAT' 4\n20581 ' PAY' 4\n20582 ' PBS' 4\n20583 ' PCA' 4\n20584 ' PCB' 4\n20585 ' PCI' 4\n20586 ' PCR' 4\n20587 ' PCs' 4\n20588 ' PDB' 4\n20589 ' PDF' 4\n20590 ' PDO' 4\n20591 ' PDT' 4\n20592 ' PEM' 4\n20593 ' PER' 4\n20594 ' PET' 4\n20595 ' PHP' 4\n20596 ' PHY' 4\n20597 ' PID' 4\n20598 ' PIL' 4\n20599 ' PIN' 4\n20600 ' PLA' 4\n20601 ' PLC' 4\n20602 ' PLL' 4\n20603 ' PMC' 4\n20604 ' PNG' 4\n20605 ' POL' 4\n20606 ' POP' 4\n20607 ' POS' 4\n20608 ' PPP' 4\n20609 ' PRE' 4\n20610 ' PRI' 4\n20611 ' PRO' 4\n20612 ' PSA' 4\n20613 ' PSD' 4\n20614 ' PST' 4\n20615 ' PUR' 4\n20616 ' PUT' 4\n20617 ' PVC' 4\n20618 ' Pac' 4\n20619 ' Pad' 4\n20620 ' Pag' 4\n20621 ' Pak' 4\n20622 ' Pal' 4\n20623 ' Pam' 4\n20624 ' Pan' 4\n20625 ' Pap' 4\n20626 ' Par' 4\n20627 ' Pas' 4\n20628 ' Pat' 4\n20629 ' Pav' 4\n20630 ' Paw' 4\n20631 ' Pay' 4\n20632 ' Paz' 4\n20633 ' Pdf' 4\n20634 ' Pec' 4\n20635 ' Ped' 4\n20636 ' Peg' 4\n20637 ' Pel' 4\n20638 ' Pen' 4\n20639 ' Pep' 4\n20640 ' Per' 4\n20641 ' Pes' 4\n20642 ' Pet' 4\n20643 ' PhD' 4\n20644 ' Phi' 4\n20645 ' Pho' 4\n20646 ' Pic' 4\n20647 ' Pie' 4\n20648 ' Pig' 4\n20649 ' Pik' 4\n20650 ' Pil' 4\n20651 ' Pin' 4\n20652 ' Pip' 4\n20653 ' Pir' 4\n20654 ' Pis' 4\n20655 ' Pit' 4\n20656 ' Pix' 4\n20657 ' Ple' 4\n20658 ' Ply' 4\n20659 ' Pod' 4\n20660 ' Pok' 4\n20661 ' Pol' 4\n20662 ' Pom' 4\n20663 ' Pon' 4\n20664 ' Pop' 4\n20665 ' Por' 4\n20666 ' Pos' 4\n20667 ' Pot' 4\n20668 ' Pow' 4\n20669 ' Poz' 4\n20670 ' Pra' 4\n20671 ' Pre' 4\n20672 ' Pri' 4\n20673 ' Pro' 4\n20674 ' Psy' 4\n20675 ' Pub' 4\n20676 ' Pul' 4\n20677 ' Pun' 4\n20678 ' Pur' 4\n20679 ' Put' 4\n20680 ' Pé' 4\n20681 ' QUE' 4\n20682 ' Que' 4\n20683 ' Qui' 4\n20684 ' RAD' 4\n20685 ' RAF' 4\n20686 ' RAM' 4\n20687 ' RAW' 4\n20688 ' RBI' 4\n20689 ' REC' 4\n20690 ' RED' 4\n20691 ' REF' 4\n20692 ' REG' 4\n20693 ' REL' 4\n20694 ' REM' 4\n20695 ' RES' 4\n20696 ' RET' 4\n20697 ' RFC' 4\n20698 ' RGB' 4\n20699 ' RIP' 4\n20700 ' RMS' 4\n20701 ' RNA' 4\n20702 ' ROC' 4\n20703 ' ROI' 4\n20704 ' ROM' 4\n20705 ' ROS' 4\n20706 ' ROT' 4\n20707 ' RPC' 4\n20708 ' RPG' 4\n20709 ' RPM' 4\n20710 ' RSA' 4\n20711 ' RSS' 4\n20712 ' RUN' 4\n20713 ' Rab' 4\n20714 ' Rac' 4\n20715 ' Rad' 4\n20716 ' Raf' 4\n20717 ' Rag' 4\n20718 ' Rah' 4\n20719 ' Raj' 4\n20720 ' Rak' 4\n20721 ' Ram' 4\n20722 ' Ran' 4\n20723 ' Rao' 4\n20724 ' Rap' 4\n20725 ' Ras' 4\n20726 ' Rat' 4\n20727 ' Rav' 4\n20728 ' Raw' 4\n20729 ' Ray' 4\n20730 ' Raz' 4\n20731 ' Reb' 4\n20732 ' Rec' 4\n20733 ' Red' 4\n20734 ' Ref' 4\n20735 ' Reg' 4\n20736 ' Rei' 4\n20737 ' Rel' 4\n20738 ' Rem' 4\n20739 ' Ren' 4\n20740 ' Rep' 4\n20741 ' Res' 4\n20742 ' Ret' 4\n20743 ' Rev' 4\n20744 ' Rew' 4\n20745 ' Rex' 4\n20746 ' Rey' 4\n20747 ' Rhe' 4\n20748 ' Rib' 4\n20749 ' Ric' 4\n20750 ' Rid' 4\n20751 ' Rif' 4\n20752 ' Rig' 4\n20753 ' Rim' 4\n20754 ' Rin' 4\n20755 ' Rio' 4\n20756 ' Rip' 4\n20757 ' Ris' 4\n20758 ' Rit' 4\n20759 ' Riv' 4\n20760 ' Rob' 4\n20761 ' Roc' 4\n20762 ' Rod' 4\n20763 ' Rog' 4\n20764 ' Roh' 4\n20765 ' Rol' 4\n20766 ' Rom' 4\n20767 ' Ron' 4\n20768 ' Ros' 4\n20769 ' Rot' 4\n20770 ' Rou' 4\n20771 ' Row' 4\n20772 ' Rox' 4\n20773 ' Roy' 4\n20774 ' Rub' 4\n20775 ' Rud' 4\n20776 ' Rue' 4\n20777 ' Rug' 4\n20778 ' Rum' 4\n20779 ' Run' 4\n20780 ' Rus' 4\n20781 ' Rut' 4\n20782 ' Ré' 4\n20783 ' Rö' 4\n20784 ' SAF' 4\n20785 ' SAL' 4\n20786 ' SAM' 4\n20787 ' SAN' 4\n20788 ' SAP' 4\n20789 ' SAR' 4\n20790 ' SAS' 4\n20791 ' SAT' 4\n20792 ' SCH' 4\n20793 ' SCI' 4\n20794 ' SCM' 4\n20795 ' SCO' 4\n20796 ' SDK' 4\n20797 ' SDL' 4\n20798 ' SDS' 4\n20799 ' SEC' 4\n20800 ' SEE' 4\n20801 ' SEL' 4\n20802 ' SEM' 4\n20803 ' SEO' 4\n20804 ' SER' 4\n20805 ' SES' 4\n20806 ' SET' 4\n20807 ' SGD' 4\n20808 ' SHA' 4\n20809 ' SHE' 4\n20810 ' SHO' 4\n20811 ' SIG' 4\n20812 ' SIL' 4\n20813 ' SIM' 4\n20814 ' SIP' 4\n20815 ' SMB' 4\n20816 ' SMS' 4\n20817 ' SNP' 4\n20818 ' SOC' 4\n20819 ' SOL' 4\n20820 ' SOM' 4\n20821 ' SOS' 4\n20822 ' SPD' 4\n20823 ' SPE' 4\n20824 ' SPI' 4\n20825 ' SPR' 4\n20826 ' SQL' 4\n20827 ' SSD' 4\n20828 ' SSH' 4\n20829 ' SSL' 4\n20830 ' STD' 4\n20831 ' STE' 4\n20832 ' STR' 4\n20833 ' SUB' 4\n20834 ' SUM' 4\n20835 ' SUN' 4\n20836 ' SUP' 4\n20837 ' SUR' 4\n20838 ' SUS' 4\n20839 ' SUV' 4\n20840 ' SVG' 4\n20841 ' SVM' 4\n20842 ' Sab' 4\n20843 ' Sac' 4\n20844 ' Sad' 4\n20845 ' Saf' 4\n20846 ' Sag' 4\n20847 ' Sah' 4\n20848 ' Sai' 4\n20849 ' Sak' 4\n20850 ' Sal' 4\n20851 ' Sam' 4\n20852 ' San' 4\n20853 ' Sap' 4\n20854 ' Sar' 4\n20855 ' Sas' 4\n20856 ' Sat' 4\n20857 ' Sau' 4\n20858 ' Sav' 4\n20859 ' Saw' 4\n20860 ' Sax' 4\n20861 ' Say' 4\n20862 ' Sch' 4\n20863 ' Sci' 4\n20864 ' Sco' 4\n20865 ' Scr' 4\n20866 ' Sea' 4\n20867 ' Sec' 4\n20868 ' Sed' 4\n20869 ' See' 4\n20870 ' Seg' 4\n20871 ' Sek' 4\n20872 ' Sel' 4\n20873 ' Sem' 4\n20874 ' Sen' 4\n20875 ' Sep' 4\n20876 ' Seq' 4\n20877 ' Ser' 4\n20878 ' Ses' 4\n20879 ' Set' 4\n20880 ' Sew' 4\n20881 ' Sex' 4\n20882 ' Sey' 4\n20883 ' Sgt' 4\n20884 ' Sha' 4\n20885 ' She' 4\n20886 ' Shi' 4\n20887 ' Sho' 4\n20888 ' Sic' 4\n20889 ' Sid' 4\n20890 ' Sie' 4\n20891 ' Sig' 4\n20892 ' Sik' 4\n20893 ' Sil' 4\n20894 ' Sim' 4\n20895 ' Sin' 4\n20896 ' Sir' 4\n20897 ' Sit' 4\n20898 ' Six' 4\n20899 ' Ske' 4\n20900 ' Ski' 4\n20901 ' Sky' 4\n20902 ' Sob' 4\n20903 ' Soc' 4\n20904 ' Sof' 4\n20905 ' Sok' 4\n20906 ' Sol' 4\n20907 ' Som' 4\n20908 ' Son' 4\n20909 ' Sor' 4\n20910 ' Sou' 4\n20911 ' Sov' 4\n20912 ' Sox' 4\n20913 ' Soy' 4\n20914 ' Spa' 4\n20915 ' Spe' 4\n20916 ' Spl' 4\n20917 ' Spo' 4\n20918 ' Spr' 4\n20919 ' Spy' 4\n20920 ' Sql' 4\n20921 ' Squ' 4\n20922 ' Sri' 4\n20923 ' Sta' 4\n20924 ' Ste' 4\n20925 ' Sto' 4\n20926 ' Str' 4\n20927 ' Sty' 4\n20928 ' Sub' 4\n20929 ' Suc' 4\n20930 ' Sud' 4\n20931 ' Sue' 4\n20932 ' Sug' 4\n20933 ' Suk' 4\n20934 ' Sul' 4\n20935 ' Sum' 4\n20936 ' Sun' 4\n20937 ' Sup' 4\n20938 ' Sur' 4\n20939 ' Sus' 4\n20940 ' Suz' 4\n20941 ' Swe' 4\n20942 ' Syd' 4\n20943 ' Syl' 4\n20944 ' Sym' 4\n20945 ' Syn' 4\n20946 ' Sys' 4\n20947 ' Sé' 4\n20948 ' Sü' 4\n20949 ' TAB' 4\n20950 ' TAG' 4\n20951 ' TAM' 4\n20952 ' TCP' 4\n20953 ' TED' 4\n20954 ' TEM' 4\n20955 ' TER' 4\n20956 ' THE' 4\n20957 ' TIM' 4\n20958 ' TLS' 4\n20959 ' TOD' 4\n20960 ' TOP' 4\n20961 ' TPP' 4\n20962 ' TRA' 4\n20963 ' TRE' 4\n20964 ' TRI' 4\n20965 ' TWO' 4\n20966 ' Tab' 4\n20967 ' Tac' 4\n20968 ' Tag' 4\n20969 ' Tah' 4\n20970 ' Tai' 4\n20971 ' Taj' 4\n20972 ' Tak' 4\n20973 ' Tal' 4\n20974 ' Tam' 4\n20975 ' Tan' 4\n20976 ' Tao' 4\n20977 ' Tap' 4\n20978 ' Tar' 4\n20979 ' Tas' 4\n20980 ' Tat' 4\n20981 ' Tau' 4\n20982 ' Tax' 4\n20983 ' Tay' 4\n20984 ' Tea' 4\n20985 ' Tec' 4\n20986 ' Ted' 4\n20987 ' Teh' 4\n20988 ' Tek' 4\n20989 ' Tel' 4\n20990 ' Tem' 4\n20991 ' Ten' 4\n20992 ' Ter' 4\n20993 ' Tes' 4\n20994 ' Tet' 4\n20995 ' Tex' 4\n20996 ' The' 4\n20997 ' Thi' 4\n20998 ' Thr' 4\n20999 ' Thu' 4\n21000 ' Thy' 4\n21001 ' Tib' 4\n21002 ' Tie' 4\n21003 ' Tig' 4\n21004 ' Tik' 4\n21005 ' Til' 4\n21006 ' Tim' 4\n21007 ' Tin' 4\n21008 ' Tip' 4\n21009 ' Tir' 4\n21010 ' Tit' 4\n21011 ' Tob' 4\n21012 ' Tod' 4\n21013 ' Tok' 4\n21014 ' Tol' 4\n21015 ' Tom' 4\n21016 ' Ton' 4\n21017 ' Too' 4\n21018 ' Top' 4\n21019 ' Tor' 4\n21020 ' Tos' 4\n21021 ' Tot' 4\n21022 ' Tou' 4\n21023 ' Tow' 4\n21024 ' Toy' 4\n21025 ' Tra' 4\n21026 ' Tre' 4\n21027 ' Tri' 4\n21028 ' Tro' 4\n21029 ' Tru' 4\n21030 ' Try' 4\n21031 ' Tub' 4\n21032 ' Tuc' 4\n21033 ' Tud' 4\n21034 ' Tue' 4\n21035 ' Tul' 4\n21036 ' Tum' 4\n21037 ' Tun' 4\n21038 ' Tur' 4\n21039 ' Tus' 4\n21040 ' Tut' 4\n21041 ' Twe' 4\n21042 ' Two' 4\n21043 ' Typ' 4\n21044 ' Tyr' 4\n21045 ' UAE' 4\n21046 ' UDP' 4\n21047 ' UFC' 4\n21048 ' UFO' 4\n21049 ' UID' 4\n21050 ' UIT' 4\n21051 ' UPS' 4\n21052 ' URI' 4\n21053 ' URL' 4\n21054 ' USA' 4\n21055 ' USB' 4\n21056 ' USC' 4\n21057 ' USD' 4\n21058 ' USE' 4\n21059 ' USS' 4\n21060 ' UTC' 4\n21061 ' UTF' 4\n21062 ' Uhr' 4\n21063 ' Ult' 4\n21064 ' Una' 4\n21065 ' Und' 4\n21066 ' Une' 4\n21067 ' Ung' 4\n21068 ' Uni' 4\n21069 ' Uns' 4\n21070 ' Unt' 4\n21071 ' Urb' 4\n21072 ' Uri' 4\n21073 ' Url' 4\n21074 ' Urs' 4\n21075 ' Use' 4\n21076 ' Utt' 4\n21077 ' VAL' 4\n21078 ' VAR' 4\n21079 ' VAT' 4\n21080 ' VER' 4\n21081 ' VID' 4\n21082 ' VII' 4\n21083 ' VIP' 4\n21084 ' VIS' 4\n21085 ' VOC' 4\n21086 ' VOL' 4\n21087 ' VPN' 4\n21088 ' Vac' 4\n21089 ' Val' 4\n21090 ' Van' 4\n21091 ' Var' 4\n21092 ' Vas' 4\n21093 ' Vec' 4\n21094 ' Ved' 4\n21095 ' Veg' 4\n21096 ' Veh' 4\n21097 ' Vel' 4\n21098 ' Ven' 4\n21099 ' Ver' 4\n21100 ' Ves' 4\n21101 ' Via' 4\n21102 ' Vic' 4\n21103 ' Vid' 4\n21104 ' Vie' 4\n21105 ' Vig' 4\n21106 ' Vij' 4\n21107 ' Vik' 4\n21108 ' Vil' 4\n21109 ' Vim' 4\n21110 ' Vin' 4\n21111 ' Vir' 4\n21112 ' Vis' 4\n21113 ' Vit' 4\n21114 ' Viv' 4\n21115 ' Voc' 4\n21116 ' Vog' 4\n21117 ' Vol' 4\n21118 ' Von' 4\n21119 ' Vor' 4\n21120 ' Vox' 4\n21121 ' Voy' 4\n21122 ' Vue' 4\n21123 ' Vul' 4\n21124 ' Vé' 4\n21125 ' WAR' 4\n21126 ' WAS' 4\n21127 ' WAY' 4\n21128 ' WEB' 4\n21129 ' WHO' 4\n21130 ' WIN' 4\n21131 ' WIT' 4\n21132 ' WOR' 4\n21133 ' WWE' 4\n21134 ' Wah' 4\n21135 ' Wak' 4\n21136 ' Wal' 4\n21137 ' Wan' 4\n21138 ' War' 4\n21139 ' Was' 4\n21140 ' Wat' 4\n21141 ' Way' 4\n21142 ' Web' 4\n21143 ' Wed' 4\n21144 ' Wei' 4\n21145 ' Wel' 4\n21146 ' Wen' 4\n21147 ' Wer' 4\n21148 ' Wes' 4\n21149 ' Wet' 4\n21150 ' Whe' 4\n21151 ' Who' 4\n21152 ' Why' 4\n21153 ' Wid' 4\n21154 ' Wie' 4\n21155 ' Wii' 4\n21156 ' Wik' 4\n21157 ' Wil' 4\n21158 ' Win' 4\n21159 ' Wir' 4\n21160 ' Wis' 4\n21161 ' Wit' 4\n21162 ' Wol' 4\n21163 ' Won' 4\n21164 ' Woo' 4\n21165 ' Wor' 4\n21166 ' Wow' 4\n21167 ' Wyn' 4\n21168 ' XII' 4\n21169 ' XIV' 4\n21170 ' XML' 4\n21171 ' XOR' 4\n21172 ' XVI' 4\n21173 ' XXX' 4\n21174 ' Xen' 4\n21175 ' Xia' 4\n21176 ' Xin' 4\n21177 ' Xml' 4\n21178 ' YES' 4\n21179 ' YOU' 4\n21180 ' Yad' 4\n21181 ' Yak' 4\n21182 ' Yam' 4\n21183 ' Yan' 4\n21184 ' Yao' 4\n21185 ' Yas' 4\n21186 ' Yes' 4\n21187 ' Yet' 4\n21188 ' Yin' 4\n21189 ' You' 4\n21190 ' Yuk' 4\n21191 ' Yun' 4\n21192 ' Yus' 4\n21193 ' ZIP' 4\n21194 ' Zag' 4\n21195 ' Zah' 4\n21196 ' Zak' 4\n21197 ' Zam' 4\n21198 ' Zap' 4\n21199 ' Zar' 4\n21200 ' Zel' 4\n21201 ' Zen' 4\n21202 ' Zhu' 4\n21203 ' Zig' 4\n21204 ' Zip' 4\n21205 ' Zoe' 4\n21206 ' Zoo' 4\n21207 ' Zum' 4\n21208 ' Zur' 4\n21209 ' Zwe' 4\n21210 ' [],' 4\n21211 ' [];' 4\n21212 ' ___' 4\n21213 ' ``(' 4\n21214 ' ```' 4\n21215 ' aan' 4\n21216 ' abb' 4\n21217 ' abc' 4\n21218 ' abi' 4\n21219 ' abl' 4\n21220 ' abs' 4\n21221 ' aby' 4\n21222 ' acc' 4\n21223 ' ace' 4\n21224 ' ach' 4\n21225 ' acl' 4\n21226 ' act' 4\n21227 ' add' 4\n21228 ' ade' 4\n21229 ' adj' 4\n21230 ' adm' 4\n21231 ' ado' 4\n21232 ' ads' 4\n21233 ' adv' 4\n21234 ' aer' 4\n21235 ' aes' 4\n21236 ' aff' 4\n21237 ' aft' 4\n21238 ' age' 4\n21239 ' agg' 4\n21240 ' ago' 4\n21241 ' agr' 4\n21242 ' aid' 4\n21243 ' ail' 4\n21244 ' aim' 4\n21245 ' ain' 4\n21246 ' air' 4\n21247 ' aka' 4\n21248 ' akt' 4\n21249 ' alb' 4\n21250 ' alc' 4\n21251 ' ald' 4\n21252 ' ale' 4\n21253 ' alg' 4\n21254 ' ali' 4\n21255 ' alk' 4\n21256 ' all' 4\n21257 ' als' 4\n21258 ' alt' 4\n21259 ' ama' 4\n21260 ' amb' 4\n21261 ' ami' 4\n21262 ' amp' 4\n21263 ' ana' 4\n21264 ' anc' 4\n21265 ' and' 4\n21266 ' ang' 4\n21267 ' ank' 4\n21268 ' ann' 4\n21269 ' ano' 4\n21270 ' ans' 4\n21271 ' ant' 4\n21272 ' anx' 4\n21273 ' any' 4\n21274 ' aos' 4\n21275 ' aph' 4\n21276 ' api' 4\n21277 ' apo' 4\n21278 ' app' 4\n21279 ' apr' 4\n21280 ' apt' 4\n21281 ' aqu' 4\n21282 ' ara' 4\n21283 ' arb' 4\n21284 ' arc' 4\n21285 ' ard' 4\n21286 ' are' 4\n21287 ' arg' 4\n21288 ' ark' 4\n21289 ' arm' 4\n21290 ' arr' 4\n21291 ' art' 4\n21292 ' asc' 4\n21293 ' ash' 4\n21294 ' asi' 4\n21295 ' ask' 4\n21296 ' asm' 4\n21297 ' asp' 4\n21298 ' ass' 4\n21299 ' ast' 4\n21300 ' ate' 4\n21301 ' ath' 4\n21302 ' atm' 4\n21303 ' att' 4\n21304 ' auc' 4\n21305 ' aud' 4\n21306 ' auf' 4\n21307 ' aug' 4\n21308 ' aur' 4\n21309 ' aus' 4\n21310 ' aut' 4\n21311 ' aux' 4\n21312 ' ave' 4\n21313 ' avg' 4\n21314 ' avo' 4\n21315 ' awa' 4\n21316 ' awe' 4\n21317 ' awk' 4\n21318 ' aws' 4\n21319 ' axe' 4\n21320 ' aç' 4\n21321 ' añ' 4\n21322 ' až' 4\n21323 ' bab' 4\n21324 ' bac' 4\n21325 ' bad' 4\n21326 ' bag' 4\n21327 ' bak' 4\n21328 ' bal' 4\n21329 ' bam' 4\n21330 ' ban' 4\n21331 ' bar' 4\n21332 ' bas' 4\n21333 ' bat' 4\n21334 ' bay' 4\n21335 ' baz' 4\n21336 ' bec' 4\n21337 ' bed' 4\n21338 ' bee' 4\n21339 ' bef' 4\n21340 ' beg' 4\n21341 ' beh' 4\n21342 ' bei' 4\n21343 ' bek' 4\n21344 ' bel' 4\n21345 ' bem' 4\n21346 ' ben' 4\n21347 ' ber' 4\n21348 ' bes' 4\n21349 ' bet' 4\n21350 ' bew' 4\n21351 ' bey' 4\n21352 ' bez' 4\n21353 ' bib' 4\n21354 ' bic' 4\n21355 ' bid' 4\n21356 ' bif' 4\n21357 ' big' 4\n21358 ' bij' 4\n21359 ' bil' 4\n21360 ' bin' 4\n21361 ' bio' 4\n21362 ' bip' 4\n21363 ' bir' 4\n21364 ' bis' 4\n21365 ' bit' 4\n21366 ' biz' 4\n21367 ' bla' 4\n21368 ' ble' 4\n21369 ' blk' 4\n21370 ' blo' 4\n21371 ' bob' 4\n21372 ' bod' 4\n21373 ' bog' 4\n21374 ' bol' 4\n21375 ' bom' 4\n21376 ' bon' 4\n21377 ' boo' 4\n21378 ' bor' 4\n21379 ' bos' 4\n21380 ' bot' 4\n21381 ' bou' 4\n21382 ' bow' 4\n21383 ' box' 4\n21384 ' boy' 4\n21385 ' bra' 4\n21386 ' bre' 4\n21387 ' bri' 4\n21388 ' bro' 4\n21389 ' bru' 4\n21390 ' btn' 4\n21391 ' bub' 4\n21392 ' bud' 4\n21393 ' buf' 4\n21394 ' bug' 4\n21395 ' bul' 4\n21396 ' bum' 4\n21397 ' bun' 4\n21398 ' bur' 4\n21399 ' bus' 4\n21400 ' but' 4\n21401 ' buy' 4\n21402 ' bye' 4\n21403 ' bzw' 4\n21404 ' bä' 4\n21405 ' bé' 4\n21406 ' bý' 4\n21407 ' cab' 4\n21408 ' cac' 4\n21409 ' cad' 4\n21410 ' caf' 4\n21411 ' cal' 4\n21412 ' cam' 4\n21413 ' can' 4\n21414 ' cap' 4\n21415 ' car' 4\n21416 ' cas' 4\n21417 ' cat' 4\n21418 ' cav' 4\n21419 ' cel' 4\n21420 ' cen' 4\n21421 ' cep' 4\n21422 ' cer' 4\n21423 ' ces' 4\n21424 ' cet' 4\n21425 ' cfg' 4\n21426 ' cha' 4\n21427 ' che' 4\n21428 ' chi' 4\n21429 ' chk' 4\n21430 ' cho' 4\n21431 ' chr' 4\n21432 ' cic' 4\n21433 ' cid' 4\n21434 ' cig' 4\n21435 ' cin' 4\n21436 ' cir' 4\n21437 ' cis' 4\n21438 ' cit' 4\n21439 ' civ' 4\n21440 ' cla' 4\n21441 ' cle' 4\n21442 ' cli' 4\n21443 ' clo' 4\n21444 ' cls' 4\n21445 ' cmd' 4\n21446 ' cmp' 4\n21447 ' cnt' 4\n21448 ' cob' 4\n21449 ' coc' 4\n21450 ' cod' 4\n21451 ' cof' 4\n21452 ' cog' 4\n21453 ' coh' 4\n21454 ' col' 4\n21455 ' com' 4\n21456 ' con' 4\n21457 ' cop' 4\n21458 ' cor' 4\n21459 ' cos' 4\n21460 ' cot' 4\n21461 ' cou' 4\n21462 ' cov' 4\n21463 ' cow' 4\n21464 ' coy' 4\n21465 ' cpu' 4\n21466 ' cra' 4\n21467 ' cre' 4\n21468 ' cri' 4\n21469 ' cro' 4\n21470 ' cru' 4\n21471 ' cry' 4\n21472 ' css' 4\n21473 ' csv' 4\n21474 ' ctx' 4\n21475 ' cub' 4\n21476 ' cuc' 4\n21477 ' cue' 4\n21478 ' cui' 4\n21479 ' cul' 4\n21480 ' cum' 4\n21481 ' cup' 4\n21482 ' cur' 4\n21483 ' cus' 4\n21484 ' cut' 4\n21485 ' cyl' 4\n21486 ' cyn' 4\n21487 ' cyt' 4\n21488 ' cá' 4\n21489 ' câ' 4\n21490 ' cé' 4\n21491 ' cí' 4\n21492 ' có' 4\n21493 ' cô' 4\n21494 ' că' 4\n21495 ' cơ' 4\n21496 ' dab' 4\n21497 ' dad' 4\n21498 ' dag' 4\n21499 ' dah' 4\n21500 ' dai' 4\n21501 ' dal' 4\n21502 ' dam' 4\n21503 ' dan' 4\n21504 ' dao' 4\n21505 ' dar' 4\n21506 ' das' 4\n21507 ' dat' 4\n21508 ' dav' 4\n21509 ' day' 4\n21510 ' dbo' 4\n21511 ' deb' 4\n21512 ' dec' 4\n21513 ' ded' 4\n21514 ' dee' 4\n21515 ' def' 4\n21516 ' deg' 4\n21517 ' dei' 4\n21518 ' dej' 4\n21519 ' del' 4\n21520 ' dem' 4\n21521 ' den' 4\n21522 ' dep' 4\n21523 ' der' 4\n21524 ' des' 4\n21525 ' det' 4\n21526 ' dev' 4\n21527 ' dex' 4\n21528 ' dez' 4\n21529 ' dia' 4\n21530 ' dib' 4\n21531 ' dic' 4\n21532 ' did' 4\n21533 ' die' 4\n21534 ' dif' 4\n21535 ' dig' 4\n21536 ' dil' 4\n21537 ' dim' 4\n21538 ' din' 4\n21539 ' dio' 4\n21540 ' dip' 4\n21541 ' dir' 4\n21542 ' dis' 4\n21543 ' dit' 4\n21544 ' div' 4\n21545 ' diz' 4\n21546 ' dll' 4\n21547 ' dns' 4\n21548 ' dob' 4\n21549 ' doc' 4\n21550 ' dod' 4\n21551 ' dog' 4\n21552 ' doi' 4\n21553 ' dok' 4\n21554 ' dol' 4\n21555 ' dom' 4\n21556 ' don' 4\n21557 ' dop' 4\n21558 ' dor' 4\n21559 ' dos' 4\n21560 ' dot' 4\n21561 ' dou' 4\n21562 ' dow' 4\n21563 ' dpi' 4\n21564 ' dra' 4\n21565 ' dre' 4\n21566 ' dri' 4\n21567 ' dro' 4\n21568 ' dru' 4\n21569 ' dry' 4\n21570 ' dst' 4\n21571 ' dub' 4\n21572 ' due' 4\n21573 ' dug' 4\n21574 ' dum' 4\n21575 ' dun' 4\n21576 ' duo' 4\n21577 ' dup' 4\n21578 ' dur' 4\n21579 ' dus' 4\n21580 ' dut' 4\n21581 ' dye' 4\n21582 ' dyn' 4\n21583 ' dys' 4\n21584 ' dá' 4\n21585 ' då' 4\n21586 ' dé' 4\n21587 ' dí' 4\n21588 ' dó' 4\n21589 ' dü' 4\n21590 ' ear' 4\n21591 ' eas' 4\n21592 ' eat' 4\n21593 ' ecc' 4\n21594 ' ech' 4\n21595 ' ecl' 4\n21596 ' eco' 4\n21597 ' ect' 4\n21598 ' eds' 4\n21599 ' een' 4\n21600 ' eer' 4\n21601 ' eff' 4\n21602 ' egg' 4\n21603 ' ego' 4\n21604 ' egy' 4\n21605 ' eig' 4\n21606 ' ein' 4\n21607 ' ela' 4\n21608 ' ele' 4\n21609 ' elf' 4\n21610 ' ell' 4\n21611 ' els' 4\n21612 ' emb' 4\n21613 ' emo' 4\n21614 ' emp' 4\n21615 ' enc' 4\n21616 ' end' 4\n21617 ' enf' 4\n21618 ' eng' 4\n21619 ' enh' 4\n21620 ' ens' 4\n21621 ' ent' 4\n21622 ' env' 4\n21623 ' eos' 4\n21624 ' eps' 4\n21625 ' equ' 4\n21626 ' era' 4\n21627 ' ere' 4\n21628 ' erf' 4\n21629 ' erg' 4\n21630 ' ern' 4\n21631 ' err' 4\n21632 ' ers' 4\n21633 ' eru' 4\n21634 ' ery' 4\n21635 ' esa' 4\n21636 ' esc' 4\n21637 ' ese' 4\n21638 ' eso' 4\n21639 ' esp' 4\n21640 ' ess' 4\n21641 ' est' 4\n21642 ' eta' 4\n21643 ' etc' 4\n21644 ' eth' 4\n21645 ' ett' 4\n21646 ' eux' 4\n21647 ' eve' 4\n21648 ' evt' 4\n21649 ' exc' 4\n21650 ' exe' 4\n21651 ' exh' 4\n21652 ' exp' 4\n21653 ' ext' 4\n21654 ' eye' 4\n21655 ' fab' 4\n21656 ' fac' 4\n21657 ' fal' 4\n21658 ' fam' 4\n21659 ' fan' 4\n21660 ' far' 4\n21661 ' fas' 4\n21662 ' fat' 4\n21663 ' fav' 4\n21664 ' fax' 4\n21665 ' faz' 4\n21666 ' fed' 4\n21667 ' fee' 4\n21668 ' fel' 4\n21669 ' fem' 4\n21670 ' fen' 4\n21671 ' fer' 4\n21672 ' fet' 4\n21673 ' feu' 4\n21674 ' few' 4\n21675 ' fft' 4\n21676 ' fib' 4\n21677 ' fic' 4\n21678 ' fid' 4\n21679 ' fif' 4\n21680 ' fig' 4\n21681 ' fil' 4\n21682 ' fim' 4\n21683 ' fin' 4\n21684 ' fir' 4\n21685 ' fis' 4\n21686 ' fit' 4\n21687 ' fix' 4\n21688 ' fla' 4\n21689 ' fle' 4\n21690 ' flo' 4\n21691 ' flu' 4\n21692 ' fly' 4\n21693 ' fmt' 4\n21694 ' foc' 4\n21695 ' fog' 4\n21696 ' foi' 4\n21697 ' fol' 4\n21698 ' fon' 4\n21699 ' foo' 4\n21700 ' for' 4\n21701 ' fos' 4\n21702 ' fot' 4\n21703 ' fou' 4\n21704 ' fox' 4\n21705 ' fra' 4\n21706 ' fre' 4\n21707 ' fri' 4\n21708 ' frm' 4\n21709 ' fro' 4\n21710 ' fru' 4\n21711 ' fry' 4\n21712 ' ftp' 4\n21713 ' fue' 4\n21714 ' fug' 4\n21715 ' ful' 4\n21716 ' fun' 4\n21717 ' fur' 4\n21718 ' fus' 4\n21719 ' fut' 4\n21720 ' fá' 4\n21721 ' få' 4\n21722 ' fé' 4\n21723 ' fö' 4\n21724 ' fø' 4\n21725 ' fő' 4\n21726 ' gab' 4\n21727 ' gad' 4\n21728 ' gag' 4\n21729 ' gal' 4\n21730 ' gam' 4\n21731 ' gan' 4\n21732 ' gap' 4\n21733 ' gar' 4\n21734 ' gas' 4\n21735 ' gau' 4\n21736 ' gay' 4\n21737 ' gaz' 4\n21738 ' gcc' 4\n21739 ' gcd' 4\n21740 ' geb' 4\n21741 ' ged' 4\n21742 ' gef' 4\n21743 ' geg' 4\n21744 ' gek' 4\n21745 ' gel' 4\n21746 ' gem' 4\n21747 ' gen' 4\n21748 ' geo' 4\n21749 ' ger' 4\n21750 ' ges' 4\n21751 ' get' 4\n21752 ' gew' 4\n21753 ' gez' 4\n21754 ' gib' 4\n21755 ' gid' 4\n21756 ' gif' 4\n21757 ' gig' 4\n21758 ' gin' 4\n21759 ' gir' 4\n21760 ' git' 4\n21761 ' giv' 4\n21762 ' gle' 4\n21763 ' gli' 4\n21764 ' glo' 4\n21765 ' glu' 4\n21766 ' gly' 4\n21767 ' gob' 4\n21768 ' god' 4\n21769 ' gol' 4\n21770 ' gon' 4\n21771 ' gor' 4\n21772 ' got' 4\n21773 ' gou' 4\n21774 ' gpu' 4\n21775 ' gra' 4\n21776 ' gre' 4\n21777 ' gri' 4\n21778 ' gro' 4\n21779 ' gru' 4\n21780 ' gtk' 4\n21781 ' gui' 4\n21782 ' gul' 4\n21783 ' gum' 4\n21784 ' gun' 4\n21785 ' gut' 4\n21786 ' guy' 4\n21787 ' gym' 4\n21788 ' gå' 4\n21789 ' gé' 4\n21790 ' gö' 4\n21791 ' gü' 4\n21792 ' gł' 4\n21793 ' hab' 4\n21794 ' hac' 4\n21795 ' had' 4\n21796 ' hal' 4\n21797 ' ham' 4\n21798 ' han' 4\n21799 ' har' 4\n21800 ' has' 4\n21801 ' hat' 4\n21802 ' hav' 4\n21803 ' haw' 4\n21804 ' hay' 4\n21805 ' haz' 4\n21806 ' hed' 4\n21807 ' hel' 4\n21808 ' hem' 4\n21809 ' hen' 4\n21810 ' hep' 4\n21811 ' her' 4\n21812 ' hes' 4\n21813 ' het' 4\n21814 ' hex' 4\n21815 ' hey' 4\n21816 ' hid' 4\n21817 ' hig' 4\n21818 ' hij' 4\n21819 ' hil' 4\n21820 ' him' 4\n21821 ' hin' 4\n21822 ' hip' 4\n21823 ' his' 4\n21824 ' hit' 4\n21825 ' hob' 4\n21826 ' hoc' 4\n21827 ' hog' 4\n21828 ' hol' 4\n21829 ' hom' 4\n21830 ' hon' 4\n21831 ' hop' 4\n21832 ' hor' 4\n21833 ' hos' 4\n21834 ' hot' 4\n21835 ' how' 4\n21836 ' hrs' 4\n21837 ' htt' 4\n21838 ' hub' 4\n21839 ' hue' 4\n21840 ' hug' 4\n21841 ' huh' 4\n21842 ' hum' 4\n21843 ' hun' 4\n21844 ' hur' 4\n21845 ' hus' 4\n21846 ' hut' 4\n21847 ' hyd' 4\n21848 ' hym' 4\n21849 ' hyp' 4\n21850 ' há' 4\n21851 ' hä' 4\n21852 ' hå' 4\n21853 ' hé' 4\n21854 ' hö' 4\n21855 ' iOS' 4\n21856 ' ice' 4\n21857 ' ich' 4\n21858 ' ici' 4\n21859 ' icy' 4\n21860 ' ide' 4\n21861 ' idi' 4\n21862 ' ids' 4\n21863 ' idx' 4\n21864 ' iff' 4\n21865 ' ign' 4\n21866 ' ihm' 4\n21867 ' ihn' 4\n21868 ' ihr' 4\n21869 ' iii' 4\n21870 ' ile' 4\n21871 ' ili' 4\n21872 ' ill' 4\n21873 ' ils' 4\n21874 ' imb' 4\n21875 ' img' 4\n21876 ' imm' 4\n21877 ' imp' 4\n21878 ' inc' 4\n21879 ' ind' 4\n21880 ' inf' 4\n21881 ' ing' 4\n21882 ' inh' 4\n21883 ' ini' 4\n21884 ' inj' 4\n21885 ' ink' 4\n21886 ' inn' 4\n21887 ' ins' 4\n21888 ' int' 4\n21889 ' inv' 4\n21890 ' iod' 4\n21891 ' ion' 4\n21892 ' ios' 4\n21893 ' ips' 4\n21894 ' ire' 4\n21895 ' irr' 4\n21896 ' isn' 4\n21897 ' iso' 4\n21898 ' iss' 4\n21899 ' ist' 4\n21900 ' ith' 4\n21901 ' itr' 4\n21902 ' its' 4\n21903 ' iç' 4\n21904 ' iş' 4\n21905 ' jab' 4\n21906 ' jac' 4\n21907 ' jag' 4\n21908 ' jak' 4\n21909 ' jal' 4\n21910 ' jam' 4\n21911 ' jan' 4\n21912 ' jap' 4\n21913 ' jar' 4\n21914 ' jas' 4\n21915 ' jav' 4\n21916 ' jaw' 4\n21917 ' jed' 4\n21918 ' jej' 4\n21919 ' jel' 4\n21920 ' jer' 4\n21921 ' jet' 4\n21922 ' jeu' 4\n21923 ' jew' 4\n21924 ' job' 4\n21925 ' jog' 4\n21926 ' jou' 4\n21927 ' joy' 4\n21928 ' jud' 4\n21929 ' jug' 4\n21930 ' jul' 4\n21931 ' jun' 4\n21932 ' jur' 4\n21933 ' jus' 4\n21934 ' já' 4\n21935 ' jä' 4\n21936 ' jó' 4\n21937 ' jú' 4\n21938 ' kHz' 4\n21939 ' kad' 4\n21940 ' kal' 4\n21941 ' kam' 4\n21942 ' kan' 4\n21943 ' kap' 4\n21944 ' kar' 4\n21945 ' kas' 4\n21946 ' kat' 4\n21947 ' kay' 4\n21948 ' kde' 4\n21949 ' kel' 4\n21950 ' ker' 4\n21951 ' ket' 4\n21952 ' key' 4\n21953 ' kid' 4\n21954 ' kil' 4\n21955 ' kin' 4\n21956 ' kir' 4\n21957 ' kit' 4\n21958 ' kle' 4\n21959 ' kne' 4\n21960 ' kol' 4\n21961 ' kom' 4\n21962 ' kon' 4\n21963 ' kop' 4\n21964 ' kor' 4\n21965 ' kos' 4\n21966 ' kot' 4\n21967 ' kre' 4\n21968 ' kun' 4\n21969 ' kur' 4\n21970 ' kä' 4\n21971 ' ké' 4\n21972 ' kö' 4\n21973 ' kø' 4\n21974 ' kü' 4\n21975 ' kā' 4\n21976 ' lab' 4\n21977 ' lac' 4\n21978 ' lad' 4\n21979 ' lag' 4\n21980 ' lak' 4\n21981 ' lam' 4\n21982 ' lan' 4\n21983 ' lap' 4\n21984 ' lar' 4\n21985 ' las' 4\n21986 ' lat' 4\n21987 ' lav' 4\n21988 ' law' 4\n21989 ' lax' 4\n21990 ' lay' 4\n21991 ' laz' 4\n21992 ' lbl' 4\n21993 ' lbs' 4\n21994 ' led' 4\n21995 ' leg' 4\n21996 ' lei' 4\n21997 ' lem' 4\n21998 ' len' 4\n21999 ' ler' 4\n22000 ' les' 4\n22001 ' let' 4\n22002 ' lev' 4\n22003 ' lex' 4\n22004 ' lhs' 4\n22005 ' lia' 4\n22006 ' lib' 4\n22007 ' lic' 4\n22008 ' lid' 4\n22009 ' lie' 4\n22010 ' lif' 4\n22011 ' lig' 4\n22012 ' lik' 4\n22013 ' lil' 4\n22014 ' lim' 4\n22015 ' lin' 4\n22016 ' lip' 4\n22017 ' lis' 4\n22018 ' lit' 4\n22019 ' liv' 4\n22020 ' lle' 4\n22021 ' lng' 4\n22022 ' lob' 4\n22023 ' loc' 4\n22024 ' lod' 4\n22025 ' log' 4\n22026 ' loi' 4\n22027 ' lok' 4\n22028 ' lol' 4\n22029 ' lon' 4\n22030 ' los' 4\n22031 ' lot' 4\n22032 ' lou' 4\n22033 ' lov' 4\n22034 ' low' 4\n22035 ' lst' 4\n22036 ' lua' 4\n22037 ' lub' 4\n22038 ' luc' 4\n22039 ' lud' 4\n22040 ' lug' 4\n22041 ' lui' 4\n22042 ' lum' 4\n22043 ' lun' 4\n22044 ' lup' 4\n22045 ' lur' 4\n22046 ' lut' 4\n22047 ' lux' 4\n22048 ' lyr' 4\n22049 ' lys' 4\n22050 ' là' 4\n22051 ' lá' 4\n22052 ' lä' 4\n22053 ' lå' 4\n22054 ' læ' 4\n22055 ' lé' 4\n22056 ' lí' 4\n22057 ' lö' 4\n22058 ' lø' 4\n22059 ' mac' 4\n22060 ' mad' 4\n22061 ' mag' 4\n22062 ' mah' 4\n22063 ' mai' 4\n22064 ' maj' 4\n22065 ' mak' 4\n22066 ' mal' 4\n22067 ' mam' 4\n22068 ' man' 4\n22069 ' map' 4\n22070 ' mar' 4\n22071 ' mas' 4\n22072 ' mat' 4\n22073 ' max' 4\n22074 ' may' 4\n22075 ' mec' 4\n22076 ' med' 4\n22077 ' meg' 4\n22078 ' mel' 4\n22079 ' mem' 4\n22080 ' men' 4\n22081 ' mer' 4\n22082 ' mes' 4\n22083 ' met' 4\n22084 ' meu' 4\n22085 ' mex' 4\n22086 ' mez' 4\n22087 ' miR' 4\n22088 ' mic' 4\n22089 ' mid' 4\n22090 ' mie' 4\n22091 ' mig' 4\n22092 ' mij' 4\n22093 ' mil' 4\n22094 ' mim' 4\n22095 ' min' 4\n22096 ' mir' 4\n22097 ' mis' 4\n22098 ' mit' 4\n22099 ' mix' 4\n22100 ' mob' 4\n22101 ' mod' 4\n22102 ' mog' 4\n22103 ' moi' 4\n22104 ' mol' 4\n22105 ' mom' 4\n22106 ' mon' 4\n22107 ' mor' 4\n22108 ' mos' 4\n22109 ' mot' 4\n22110 ' mou' 4\n22111 ' mov' 4\n22112 ' moy' 4\n22113 ' mph' 4\n22114 ' msg' 4\n22115 ' muc' 4\n22116 ' mud' 4\n22117 ' mug' 4\n22118 ' mul' 4\n22119 ' mum' 4\n22120 ' mun' 4\n22121 ' mur' 4\n22122 ' mus' 4\n22123 ' mut' 4\n22124 ' muy' 4\n22125 ' mys' 4\n22126 ' mà' 4\n22127 ' má' 4\n22128 ' mã' 4\n22129 ' må' 4\n22130 ' mé' 4\n22131 ' mí' 4\n22132 ' mó' 4\n22133 ' mô' 4\n22134 ' mö' 4\n22135 ' mø' 4\n22136 ' mú' 4\n22137 ' mü' 4\n22138 ' mě' 4\n22139 ' mű' 4\n22140 ' nab' 4\n22141 ' nad' 4\n22142 ' nag' 4\n22143 ' nah' 4\n22144 ' naj' 4\n22145 ' nak' 4\n22146 ' nal' 4\n22147 ' nam' 4\n22148 ' nan' 4\n22149 ' nap' 4\n22150 ' nar' 4\n22151 ' nas' 4\n22152 ' nat' 4\n22153 ' nau' 4\n22154 ' nav' 4\n22155 ' naz' 4\n22156 ' neb' 4\n22157 ' nec' 4\n22158 ' ned' 4\n22159 ' neg' 4\n22160 ' nel' 4\n22161 ' nem' 4\n22162 ' nen' 4\n22163 ' neo' 4\n22164 ' nep' 4\n22165 ' ner' 4\n22166 ' net' 4\n22167 ' neu' 4\n22168 ' new' 4\n22169 ' nex' 4\n22170 ' nib' 4\n22171 ' nic' 4\n22172 ' nid' 4\n22173 ' nie' 4\n22174 ' nig' 4\n22175 ' nil' 4\n22176 ' nim' 4\n22177 ' nin' 4\n22178 ' nit' 4\n22179 ' nob' 4\n22180 ' noc' 4\n22181 ' nod' 4\n22182 ' nog' 4\n22183 ' nom' 4\n22184 ' non' 4\n22185 ' nor' 4\n22186 ' nos' 4\n22187 ' not' 4\n22188 ' nou' 4\n22189 ' nov' 4\n22190 ' now' 4\n22191 ' npc' 4\n22192 ' npm' 4\n22193 ' nth' 4\n22194 ' nud' 4\n22195 ' nue' 4\n22196 ' num' 4\n22197 ' nun' 4\n22198 ' nur' 4\n22199 ' nut' 4\n22200 ' ná' 4\n22201 ' nä' 4\n22202 ' nå' 4\n22203 ' né' 4\n22204 ' në' 4\n22205 ' nó' 4\n22206 ' nú' 4\n22207 ' ně' 4\n22208 ' oak' 4\n22209 ' obj' 4\n22210 ' obl' 4\n22211 ' obs' 4\n22212 ' obt' 4\n22213 ' occ' 4\n22214 ' och' 4\n22215 ' oct' 4\n22216 ' odd' 4\n22217 ' ode' 4\n22218 ' off' 4\n22219 ' oft' 4\n22220 ' oil' 4\n22221 ' old' 4\n22222 ' ole' 4\n22223 ' oli' 4\n22224 ' omn' 4\n22225 ' onc' 4\n22226 ' one' 4\n22227 ' ont' 4\n22228 ' ook' 4\n22229 ' opp' 4\n22230 ' ops' 4\n22231 ' opt' 4\n22232 ' ora' 4\n22233 ' orb' 4\n22234 ' ord' 4\n22235 ' ore' 4\n22236 ' org' 4\n22237 ' ori' 4\n22238 ' orn' 4\n22239 ' oro' 4\n22240 ' ort' 4\n22241 ' osc' 4\n22242 ' osm' 4\n22243 ' osp' 4\n22244 ' oss' 4\n22245 ' ost' 4\n22246 ' ott' 4\n22247 ' oun' 4\n22248 ' our' 4\n22249 ' out' 4\n22250 ' owe' 4\n22251 ' own' 4\n22252 ' oxy' 4\n22253 ' où' 4\n22254 ' pac' 4\n22255 ' pad' 4\n22256 ' pag' 4\n22257 ' pai' 4\n22258 ' pak' 4\n22259 ' pal' 4\n22260 ' pam' 4\n22261 ' pan' 4\n22262 ' pap' 4\n22263 ' par' 4\n22264 ' pas' 4\n22265 ' pat' 4\n22266 ' pau' 4\n22267 ' pav' 4\n22268 ' paw' 4\n22269 ' pay' 4\n22270 ' pdf' 4\n22271 ' pec' 4\n22272 ' ped' 4\n22273 ' peg' 4\n22274 ' pel' 4\n22275 ' pem' 4\n22276 ' pen' 4\n22277 ' pep' 4\n22278 ' per' 4\n22279 ' pes' 4\n22280 ' pet' 4\n22281 ' peu' 4\n22282 ' phi' 4\n22283 ' php' 4\n22284 ' phr' 4\n22285 ' phy' 4\n22286 ' pic' 4\n22287 ' pid' 4\n22288 ' pie' 4\n22289 ' pig' 4\n22290 ' pil' 4\n22291 ' pin' 4\n22292 ' pip' 4\n22293 ' pir' 4\n22294 ' pis' 4\n22295 ' pit' 4\n22296 ' piv' 4\n22297 ' pix' 4\n22298 ' pkg' 4\n22299 ' pla' 4\n22300 ' ple' 4\n22301 ' plt' 4\n22302 ' ply' 4\n22303 ' png' 4\n22304 ' pob' 4\n22305 ' poc' 4\n22306 ' pod' 4\n22307 ' pog' 4\n22308 ' poi' 4\n22309 ' pok' 4\n22310 ' pol' 4\n22311 ' pom' 4\n22312 ' pon' 4\n22313 ' pop' 4\n22314 ' por' 4\n22315 ' pos' 4\n22316 ' pot' 4\n22317 ' pou' 4\n22318 ' pov' 4\n22319 ' pow' 4\n22320 ' poz' 4\n22321 ' ppm' 4\n22322 ' pra' 4\n22323 ' pre' 4\n22324 ' pri' 4\n22325 ' pro' 4\n22326 ' prz' 4\n22327 ' pse' 4\n22328 ' psi' 4\n22329 ' psy' 4\n22330 ' ptr' 4\n22331 ' pts' 4\n22332 ' pub' 4\n22333 ' pud' 4\n22334 ' pul' 4\n22335 ' pun' 4\n22336 ' pup' 4\n22337 ' pur' 4\n22338 ' pus' 4\n22339 ' put' 4\n22340 ' pyg' 4\n22341 ' pyl' 4\n22342 ' pá' 4\n22343 ' pä' 4\n22344 ' på' 4\n22345 ' pé' 4\n22346 ' pó' 4\n22347 ' pł' 4\n22348 ' př' 4\n22349 ' pů' 4\n22350 ' que' 4\n22351 ' qui' 4\n22352 ' quo' 4\n22353 ' rab' 4\n22354 ' rac' 4\n22355 ' rad' 4\n22356 ' rag' 4\n22357 ' ram' 4\n22358 ' ran' 4\n22359 ' rap' 4\n22360 ' ras' 4\n22361 ' rat' 4\n22362 ' rav' 4\n22363 ' raw' 4\n22364 ' ray' 4\n22365 ' raz' 4\n22366 ' reb' 4\n22367 ' rec' 4\n22368 ' red' 4\n22369 ' ref' 4\n22370 ' reg' 4\n22371 ' rel' 4\n22372 ' rem' 4\n22373 ' ren' 4\n22374 ' rep' 4\n22375 ' req' 4\n22376 ' rer' 4\n22377 ' res' 4\n22378 ' ret' 4\n22379 ' rev' 4\n22380 ' rez' 4\n22381 ' rgb' 4\n22382 ' rhe' 4\n22383 ' rho' 4\n22384 ' rhs' 4\n22385 ' rib' 4\n22386 ' ric' 4\n22387 ' rid' 4\n22388 ' rif' 4\n22389 ' rig' 4\n22390 ' rim' 4\n22391 ' rin' 4\n22392 ' rip' 4\n22393 ' ris' 4\n22394 ' rit' 4\n22395 ' riv' 4\n22396 ' rms' 4\n22397 ' rng' 4\n22398 ' rob' 4\n22399 ' roc' 4\n22400 ' rod' 4\n22401 ' roi' 4\n22402 ' rol' 4\n22403 ' rom' 4\n22404 ' ros' 4\n22405 ' rot' 4\n22406 ' rou' 4\n22407 ' row' 4\n22408 ' roy' 4\n22409 ' roz' 4\n22410 ' rpm' 4\n22411 ' rst' 4\n22412 ' rub' 4\n22413 ' rud' 4\n22414 ' rue' 4\n22415 ' rug' 4\n22416 ' rul' 4\n22417 ' rum' 4\n22418 ' run' 4\n22419 ' rus' 4\n22420 ' rut' 4\n22421 ' rá' 4\n22422 ' rå' 4\n22423 ' rè' 4\n22424 ' ré' 4\n22425 ' rê' 4\n22426 ' sab' 4\n22427 ' sac' 4\n22428 ' sad' 4\n22429 ' saf' 4\n22430 ' sag' 4\n22431 ' sal' 4\n22432 ' sam' 4\n22433 ' san' 4\n22434 ' sap' 4\n22435 ' sar' 4\n22436 ' sat' 4\n22437 ' sau' 4\n22438 ' sav' 4\n22439 ' saw' 4\n22440 ' sax' 4\n22441 ' say' 4\n22442 ' sch' 4\n22443 ' sci' 4\n22444 ' sco' 4\n22445 ' scr' 4\n22446 ' sea' 4\n22447 ' sec' 4\n22448 ' sed' 4\n22449 ' see' 4\n22450 ' seg' 4\n22451 ' sei' 4\n22452 ' sel' 4\n22453 ' sem' 4\n22454 ' sen' 4\n22455 ' sep' 4\n22456 ' seq' 4\n22457 ' ser' 4\n22458 ' ses' 4\n22459 ' set' 4\n22460 ' seu' 4\n22461 ' sew' 4\n22462 ' sex' 4\n22463 ' sha' 4\n22464 ' she' 4\n22465 ' sho' 4\n22466 ' shr' 4\n22467 ' shy' 4\n22468 ' sia' 4\n22469 ' sib' 4\n22470 ' sic' 4\n22471 ' sid' 4\n22472 ' sie' 4\n22473 ' sig' 4\n22474 ' sil' 4\n22475 ' sim' 4\n22476 ' sin' 4\n22477 ' sip' 4\n22478 ' sir' 4\n22479 ' sis' 4\n22480 ' sit' 4\n22481 ' six' 4\n22482 ' ske' 4\n22483 ' ski' 4\n22484 ' sku' 4\n22485 ' sky' 4\n22486 ' sla' 4\n22487 ' sle' 4\n22488 ' sme' 4\n22489 ' smo' 4\n22490 ' sms' 4\n22491 ' snd' 4\n22492 ' sne' 4\n22493 ' sob' 4\n22494 ' soc' 4\n22495 ' sod' 4\n22496 ' sog' 4\n22497 ' sol' 4\n22498 ' som' 4\n22499 ' son' 4\n22500 ' sop' 4\n22501 ' sor' 4\n22502 ' sou' 4\n22503 ' sow' 4\n22504 ' soy' 4\n22505 ' spa' 4\n22506 ' spe' 4\n22507 ' sph' 4\n22508 ' spl' 4\n22509 ' spo' 4\n22510 ' spp' 4\n22511 ' spr' 4\n22512 ' spy' 4\n22513 ' sql' 4\n22514 ' squ' 4\n22515 ' src' 4\n22516 ' ssh' 4\n22517 ' ssl' 4\n22518 ' sta' 4\n22519 ' std' 4\n22520 ' ste' 4\n22521 ' sto' 4\n22522 ' str' 4\n22523 ' sty' 4\n22524 ' sua' 4\n22525 ' sub' 4\n22526 ' suc' 4\n22527 ' sud' 4\n22528 ' sue' 4\n22529 ' suf' 4\n22530 ' sug' 4\n22531 ' sul' 4\n22532 ' sum' 4\n22533 ' sun' 4\n22534 ' suo' 4\n22535 ' sup' 4\n22536 ' sur' 4\n22537 ' sus' 4\n22538 ' sut' 4\n22539 ' svg' 4\n22540 ' swe' 4\n22541 ' swo' 4\n22542 ' sym' 4\n22543 ' syn' 4\n22544 ' sys' 4\n22545 ' sä' 4\n22546 ' så' 4\n22547 ' sæ' 4\n22548 ' sé' 4\n22549 ' sí' 4\n22550 ' só' 4\n22551 ' sø' 4\n22552 ' sú' 4\n22553 ' sû' 4\n22554 ' sü' 4\n22555 ' să' 4\n22556 ' są' 4\n22557 ' sł' 4\n22558 ' tab' 4\n22559 ' tac' 4\n22560 ' tad' 4\n22561 ' tag' 4\n22562 ' tai' 4\n22563 ' tak' 4\n22564 ' tal' 4\n22565 ' tam' 4\n22566 ' tan' 4\n22567 ' tap' 4\n22568 ' tar' 4\n22569 ' tas' 4\n22570 ' tat' 4\n22571 ' tau' 4\n22572 ' tax' 4\n22573 ' tbl' 4\n22574 ' tcp' 4\n22575 ' tea' 4\n22576 ' tec' 4\n22577 ' ted' 4\n22578 ' tee' 4\n22579 ' tej' 4\n22580 ' tek' 4\n22581 ' tel' 4\n22582 ' tem' 4\n22583 ' ten' 4\n22584 ' ter' 4\n22585 ' tes' 4\n22586 ' tet' 4\n22587 ' tex' 4\n22588 ' tgt' 4\n22589 ' tha' 4\n22590 ' the' 4\n22591 ' thi' 4\n22592 ' tho' 4\n22593 ' thr' 4\n22594 ' thy' 4\n22595 ' tib' 4\n22596 ' tic' 4\n22597 ' tid' 4\n22598 ' tie' 4\n22599 ' til' 4\n22600 ' tim' 4\n22601 ' tin' 4\n22602 ' tip' 4\n22603 ' tir' 4\n22604 ' tit' 4\n22605 ' tmp' 4\n22606 ' tob' 4\n22607 ' toc' 4\n22608 ' tod' 4\n22609 ' toe' 4\n22610 ' tok' 4\n22611 ' tol' 4\n22612 ' tom' 4\n22613 ' ton' 4\n22614 ' too' 4\n22615 ' top' 4\n22616 ' tor' 4\n22617 ' tot' 4\n22618 ' tou' 4\n22619 ' tow' 4\n22620 ' tox' 4\n22621 ' toy' 4\n22622 ' tra' 4\n22623 ' tre' 4\n22624 ' tri' 4\n22625 ' tro' 4\n22626 ' try' 4\n22627 ' tsp' 4\n22628 ' tub' 4\n22629 ' tud' 4\n22630 ' tug' 4\n22631 ' tul' 4\n22632 ' tum' 4\n22633 ' tun' 4\n22634 ' tup' 4\n22635 ' tur' 4\n22636 ' tut' 4\n22637 ' twe' 4\n22638 ' two' 4\n22639 ' txt' 4\n22640 ' typ' 4\n22641 ' tyr' 4\n22642 ' tá' 4\n22643 ' tä' 4\n22644 ' té' 4\n22645 ' të' 4\n22646 ' tí' 4\n22647 ' tö' 4\n22648 ' tú' 4\n22649 ' uid' 4\n22650 ' uit' 4\n22651 ' ult' 4\n22652 ' uma' 4\n22653 ' umb' 4\n22654 ' una' 4\n22655 ' unb' 4\n22656 ' unc' 4\n22657 ' und' 4\n22658 ' une' 4\n22659 ' unf' 4\n22660 ' ung' 4\n22661 ' unh' 4\n22662 ' uni' 4\n22663 ' unl' 4\n22664 ' unm' 4\n22665 ' uno' 4\n22666 ' uns' 4\n22667 ' unt' 4\n22668 ' unw' 4\n22669 ' upd' 4\n22670 ' upl' 4\n22671 ' upp' 4\n22672 ' ups' 4\n22673 ' upt' 4\n22674 ' urb' 4\n22675 ' ure' 4\n22676 ' urg' 4\n22677 ' uri' 4\n22678 ' url' 4\n22679 ' urn' 4\n22680 ' usb' 4\n22681 ' use' 4\n22682 ' uso' 4\n22683 ' usu' 4\n22684 ' utf' 4\n22685 ' vac' 4\n22686 ' vad' 4\n22687 ' vag' 4\n22688 ' vai' 4\n22689 ' val' 4\n22690 ' van' 4\n22691 ' vap' 4\n22692 ' var' 4\n22693 ' vas' 4\n22694 ' vec' 4\n22695 ' ved' 4\n22696 ' veg' 4\n22697 ' veh' 4\n22698 ' vel' 4\n22699 ' ven' 4\n22700 ' ver' 4\n22701 ' ves' 4\n22702 ' vet' 4\n22703 ' vex' 4\n22704 ' vez' 4\n22705 ' via' 4\n22706 ' vib' 4\n22707 ' vic' 4\n22708 ' vid' 4\n22709 ' vie' 4\n22710 ' vig' 4\n22711 ' vil' 4\n22712 ' vim' 4\n22713 ' vin' 4\n22714 ' vip' 4\n22715 ' vir' 4\n22716 ' vis' 4\n22717 ' vit' 4\n22718 ' viv' 4\n22719 ' viz' 4\n22720 ' voc' 4\n22721 ' vol' 4\n22722 ' vom' 4\n22723 ' von' 4\n22724 ' vor' 4\n22725 ' vos' 4\n22726 ' vot' 4\n22727 ' vou' 4\n22728 ' vow' 4\n22729 ' vox' 4\n22730 ' voy' 4\n22731 ' voz' 4\n22732 ' vra' 4\n22733 ' vue' 4\n22734 ' vul' 4\n22735 ' và' 4\n22736 ' vá' 4\n22737 ' vä' 4\n22738 ' vå' 4\n22739 ' væ' 4\n22740 ' vé' 4\n22741 ' ví' 4\n22742 ' võ' 4\n22743 ' vý' 4\n22744 ' vě' 4\n22745 ' vš' 4\n22746 ' wal' 4\n22747 ' war' 4\n22748 ' was' 4\n22749 ' wat' 4\n22750 ' wav' 4\n22751 ' wax' 4\n22752 ' way' 4\n22753 ' web' 4\n22754 ' wed' 4\n22755 ' wee' 4\n22756 ' weg' 4\n22757 ' wel' 4\n22758 ' wen' 4\n22759 ' wer' 4\n22760 ' wet' 4\n22761 ' whe' 4\n22762 ' who' 4\n22763 ' why' 4\n22764 ' wid' 4\n22765 ' wie' 4\n22766 ' wig' 4\n22767 ' wij' 4\n22768 ' wik' 4\n22769 ' wil' 4\n22770 ' win' 4\n22771 ' wir' 4\n22772 ' wis' 4\n22773 ' wit' 4\n22774 ' wob' 4\n22775 ' wol' 4\n22776 ' wom' 4\n22777 ' won' 4\n22778 ' woo' 4\n22779 ' wor' 4\n22780 ' wow' 4\n22781 ' wra' 4\n22782 ' wre' 4\n22783 ' wsp' 4\n22784 ' wur' 4\n22785 ' www' 4\n22786 ' wä' 4\n22787 ' wł' 4\n22788 ' xen' 4\n22789 ' xml' 4\n22790 ' xxx' 4\n22791 ' xyz' 4\n22792 ' yap' 4\n22793 ' yaw' 4\n22794 ' yen' 4\n22795 ' yer' 4\n22796 ' yes' 4\n22797 ' yet' 4\n22798 ' yog' 4\n22799 ' you' 4\n22800 ' zab' 4\n22801 ' zak' 4\n22802 ' zal' 4\n22803 ' zam' 4\n22804 ' zap' 4\n22805 ' zar' 4\n22806 ' zaw' 4\n22807 ' zen' 4\n22808 ' zer' 4\n22809 ' zig' 4\n22810 ' zij' 4\n22811 ' zip' 4\n22812 ' zon' 4\n22813 ' zoo' 4\n22814 ' zug' 4\n22815 ' zum' 4\n22816 ' zur' 4\n22817 ' zwe' 4\n22818 ' zá' 4\n22819 ' zł' 4\n22820 ' {},' 4\n22821 ' {};' 4\n22822 ' {¶' 4\n22823 ' }).' 4\n22824 ' });' 4\n22825 ' »,' 4\n22826 ' ».' 4\n22827 ' Ál' 4\n22828 ' Éd' 4\n22829 ' És' 4\n22830 ' Ét' 4\n22831 ' În' 4\n22832 ' às' 4\n22833 ' ál' 4\n22834 ' ár' 4\n22835 ' át' 4\n22836 ' äl' 4\n22837 ' än' 4\n22838 ' är' 4\n22839 ' år' 4\n22840 ' ça' 4\n22841 ' éc' 4\n22842 ' éd' 4\n22843 ' ég' 4\n22844 ' él' 4\n22845 ' én' 4\n22846 ' ép' 4\n22847 ' ér' 4\n22848 ' és' 4\n22849 ' ét' 4\n22850 ' év' 4\n22851 ' éx' 4\n22852 ' în' 4\n22853 ' ór' 4\n22854 ' ön' 4\n22855 ' új' 4\n22856 ' ún' 4\n22857 ' će' 4\n22858 ' či' 4\n22859 ' đi' 4\n22860 ' św' 4\n22861 ' şi' 4\n22862 ' że' 4\n22863 ' ży' 4\n22864 ' že' 4\n22865 ' și' 4\n22866 ' μL' 4\n22867 ' μM' 4\n22868 ' μg' 4\n22869 ' μl' 4\n22870 ' μm' 4\n22871 ' μs' 4\n22872 ' अ' 4\n22873 ' आ' 4\n22874 ' क' 4\n22875 ' ज' 4\n22876 ' त' 4\n22877 ' द' 4\n22878 ' न' 4\n22879 ' प' 4\n22880 ' ब' 4\n22881 ' म' 4\n22882 ' र' 4\n22883 ' ल' 4\n22884 ' व' 4\n22885 ' स' 4\n22886 ' ह' 4\n22887 ' ক' 4\n22888 ' ਦ' 4\n22889 ' ਸ' 4\n22890 ' ப' 4\n22891 ' เ' 4\n22892 ' ở' 4\n22893 ' ἀ' 4\n22894 ' ἐ' 4\n22895 ' \\u200b' 4\n22896 ' \\u200e' 4\n22897 ' –' 4\n22898 ' —' 4\n22899 ' ―' 4\n22900 ' ‖' 4\n22901 ' ‘' 4\n22902 ' ’' 4\n22903 ' “' 4\n22904 ' ”' 4\n22905 ' „' 4\n22906 ' †' 4\n22907 ' •' 4\n22908 ' …' 4\n22909 ' ′' 4\n22910 ' ›' 4\n22911 ' €' 4\n22912 ' ₹' 4\n22913 ' №' 4\n22914 ' ←' 4\n22915 ' ↑' 4\n22916 ' →' 4\n22917 ' ↓' 4\n22918 ' ↔' 4\n22919 ' ⇒' 4\n22920 ' ⇔' 4\n22921 ' ∀' 4\n22922 ' ∂' 4\n22923 ' ∃' 4\n22924 ' ∅' 4\n22925 ' ∆' 4\n22926 ' ∇' 4\n22927 ' ∈' 4\n22928 ' ∑' 4\n22929 ' −' 4\n22930 ' ∗' 4\n22931 ' ∘' 4\n22932 ' √' 4\n22933 ' ∞' 4\n22934 ' ∧' 4\n22935 ' ∨' 4\n22936 ' ∩' 4\n22937 ' ∪' 4\n22938 ' ∫' 4\n22939 ' ∼' 4\n22940 ' ≃' 4\n22941 ' ≈' 4\n22942 ' ≠' 4\n22943 ' ≡' 4\n22944 ' ≤' 4\n22945 ' ≥' 4\n22946 ' ⊂' 4\n22947 ' ⊆' 4\n22948 ' ⊕' 4\n22949 ' ⊗' 4\n22950 ' ⊥' 4\n22951 ' ⋅' 4\n22952 ' ⋯' 4\n22953 ' │' 4\n22954 ' ├' 4\n22955 ' ╚' 4\n22956 ' █' 4\n22957 ' ░' 4\n22958 ' ■' 4\n22959 ' ►' 4\n22960 ' ●' 4\n22961 ' ★' 4\n22962 ' ♥' 4\n22963 ' ♦' 4\n22964 ' ♪' 4\n22965 ' ✓' 4\n22966 ' ✔' 4\n22967 ' ❤' 4\n22968 ' ⟨' 4\n22969 ' ⟩' 4\n22970 ' 。' 4\n22971 ' 〈' 4\n22972 ' 「' 4\n22973 ' 【' 4\n22974 ' 가' 4\n22975 ' 각' 4\n22976 ' 간' 4\n22977 ' 감' 4\n22978 ' 강' 4\n22979 ' 같' 4\n22980 ' 개' 4\n22981 ' 거' 4\n22982 ' 건' 4\n22983 ' 걸' 4\n22984 ' 검' 4\n22985 ' 것' 4\n22986 ' 게' 4\n22987 ' 결' 4\n22988 ' 경' 4\n22989 ' 계' 4\n22990 ' 고' 4\n22991 ' 공' 4\n22992 ' 과' 4\n22993 ' 관' 4\n22994 ' 광' 4\n22995 ' 교' 4\n22996 ' 구' 4\n22997 ' 국' 4\n22998 ' 군' 4\n22999 ' 권' 4\n23000 ' 규' 4\n23001 ' 그' 4\n23002 ' 근' 4\n23003 ' 금' 4\n23004 ' 기' 4\n23005 ' 김' 4\n23006 ' 나' 4\n23007 ' 날' 4\n23008 ' 남' 4\n23009 ' 내' 4\n23010 ' 네' 4\n23011 ' 노' 4\n23012 ' 높' 4\n23013 ' 누' 4\n23014 ' 눈' 4\n23015 ' 다' 4\n23016 ' 단' 4\n23017 ' 달' 4\n23018 ' 당' 4\n23019 ' 대' 4\n23020 ' 더' 4\n23021 ' 덤' 4\n23022 ' 데' 4\n23023 ' 도' 4\n23024 ' 독' 4\n23025 ' 돌' 4\n23026 ' 동' 4\n23027 ' 되' 4\n23028 ' 된' 4\n23029 ' 두' 4\n23030 ' 뒤' 4\n23031 ' 드' 4\n23032 ' 들' 4\n23033 ' 등' 4\n23034 ' 디' 4\n23035 ' 따' 4\n23036 ' 때' 4\n23037 ' 또' 4\n23038 ' 라' 4\n23039 ' 레' 4\n23040 ' 로' 4\n23041 ' 루' 4\n23042 ' 리' 4\n23043 ' 링' 4\n23044 ' 마' 4\n23045 ' 만' 4\n23046 ' 많' 4\n23047 ' 말' 4\n23048 ' 맞' 4\n23049 ' 매' 4\n23050 ' 메' 4\n23051 ' 명' 4\n23052 ' 모' 4\n23053 ' 목' 4\n23054 ' 못' 4\n23055 ' 무' 4\n23056 ' 문' 4\n23057 ' 물' 4\n23058 ' 미' 4\n23059 ' 민' 4\n23060 ' 및' 4\n23061 ' 바' 4\n23062 ' 박' 4\n23063 ' 반' 4\n23064 ' 받' 4\n23065 ' 발' 4\n23066 ' 밝' 4\n23067 ' 방' 4\n23068 ' 배' 4\n23069 ' 백' 4\n23070 ' 버' 4\n23071 ' 번' 4\n23072 ' 법' 4\n23073 ' 베' 4\n23074 ' 변' 4\n23075 ' 병' 4\n23076 ' 보' 4\n23077 ' 복' 4\n23078 ' 본' 4\n23079 ' 부' 4\n23080 ' 북' 4\n23081 ' 분' 4\n23082 ' 불' 4\n23083 ' 브' 4\n23084 ' 비' 4\n23085 ' 사' 4\n23086 ' 산' 4\n23087 ' 살' 4\n23088 ' 삼' 4\n23089 ' 상' 4\n23090 ' 새' 4\n23091 ' 생' 4\n23092 ' 서' 4\n23093 ' 선' 4\n23094 ' 설' 4\n23095 ' 성' 4\n23096 ' 세' 4\n23097 ' 소' 4\n23098 ' 속' 4\n23099 ' 손' 4\n23100 ' 수' 4\n23101 ' 순' 4\n23102 ' 스' 4\n23103 ' 승' 4\n23104 ' 시' 4\n23105 ' 신' 4\n23106 ' 실' 4\n23107 ' 심' 4\n23108 ' 아' 4\n23109 ' 안' 4\n23110 ' 않' 4\n23111 ' 알' 4\n23112 ' 앞' 4\n23113 ' 애' 4\n23114 ' 야' 4\n23115 ' 약' 4\n23116 ' 양' 4\n23117 ' 어' 4\n23118 ' 언' 4\n23119 ' 얼' 4\n23120 ' 업' 4\n23121 ' 없' 4\n23122 ' 에' 4\n23123 ' 여' 4\n23124 ' 역' 4\n23125 ' 연' 4\n23126 ' 열' 4\n23127 ' 영' 4\n23128 ' 예' 4\n23129 ' 오' 4\n23130 ' 온' 4\n23131 ' 올' 4\n23132 ' 완' 4\n23133 ' 왕' 4\n23134 ' 외' 4\n23135 ' 요' 4\n23136 ' 용' 4\n23137 ' 우' 4\n23138 ' 운' 4\n23139 ' 원' 4\n23140 ' 월' 4\n23141 ' 위' 4\n23142 ' 유' 4\n23143 ' 음' 4\n23144 ' 의' 4\n23145 ' 이' 4\n23146 ' 인' 4\n23147 ' 일' 4\n23148 ' 임' 4\n23149 ' 입' 4\n23150 ' 있' 4\n23151 ' 자' 4\n23152 ' 작' 4\n23153 ' 잘' 4\n23154 ' 장' 4\n23155 ' 재' 4\n23156 ' 저' 4\n23157 ' 적' 4\n23158 ' 전' 4\n23159 ' 점' 4\n23160 ' 정' 4\n23161 ' 제' 4\n23162 ' 조' 4\n23163 ' 존' 4\n23164 ' 종' 4\n23165 ' 좋' 4\n23166 ' 주' 4\n23167 ' 죽' 4\n23168 ' 준' 4\n23169 ' 중' 4\n23170 ' 증' 4\n23171 ' 지' 4\n23172 ' 직' 4\n23173 ' 진' 4\n23174 ' 집' 4\n23175 ' 차' 4\n23176 ' 참' 4\n23177 ' 창' 4\n23178 ' 찾' 4\n23179 ' 채' 4\n23180 ' 책' 4\n23181 ' 처' 4\n23182 ' 천' 4\n23183 ' 철' 4\n23184 ' 첫' 4\n23185 ' 청' 4\n23186 ' 체' 4\n23187 ' 초' 4\n23188 ' 총' 4\n23189 ' 최' 4\n23190 ' 추' 4\n23191 ' 축' 4\n23192 ' 출' 4\n23193 ' 충' 4\n23194 ' 취' 4\n23195 ' 치' 4\n23196 ' 친' 4\n23197 ' 카' 4\n23198 ' 코' 4\n23199 ' 크' 4\n23200 ' 클' 4\n23201 ' 타' 4\n23202 ' 태' 4\n23203 ' 테' 4\n23204 ' 토' 4\n23205 ' 통' 4\n23206 ' 투' 4\n23207 ' 트' 4\n23208 ' 특' 4\n23209 ' 팀' 4\n23210 ' 파' 4\n23211 ' 판' 4\n23212 ' 패' 4\n23213 ' 페' 4\n23214 ' 편' 4\n23215 ' 평' 4\n23216 ' 포' 4\n23217 ' 표' 4\n23218 ' 프' 4\n23219 ' 플' 4\n23220 ' 피' 4\n23221 ' 필' 4\n23222 ' 하' 4\n23223 ' 학' 4\n23224 ' 한' 4\n23225 ' 할' 4\n23226 ' 함' 4\n23227 ' 합' 4\n23228 ' 항' 4\n23229 ' 해' 4\n23230 ' 했' 4\n23231 ' 행' 4\n23232 ' 현' 4\n23233 ' 형' 4\n23234 ' 호' 4\n23235 ' 화' 4\n23236 ' 확' 4\n23237 ' 환' 4\n23238 ' 활' 4\n23239 ' 황' 4\n23240 ' 회' 4\n23241 ' 후' 4\n23242 ' 히' 4\n23243 ' \\ufeff' 4\n23244 ' （' 4\n23245 ' ，' 4\n23246 ' ：' 4\n23247 ' �' 4\n23248 '!!!!' 4\n23249 '!\");' 4\n23250 '!’' 4\n23251 '!”' 4\n23252 '\"\"\"\"' 4\n23253 '\")))' 4\n23254 '\")),' 4\n23255 '\"));' 4\n23256 '\"...' 4\n23257 '\"/><' 4\n23258 '\":[\"' 4\n23259 '\":{\"' 4\n23260 '\"></' 4\n23261 '\"]))' 4\n23262 '\"]),' 4\n23263 '\"]=>' 4\n23264 '\"][\"' 4\n23265 '\"—' 4\n23266 '####' 4\n23267 '$$$$' 4\n23268 '$’' 4\n23269 '%%%%' 4\n23270 \"')))\" 4\n23271 \"')),\" 4\n23272 \"')).\" 4\n23273 \"'));\" 4\n23274 \"')->\" 4\n23275 \"']))\" 4\n23276 \"']),\" 4\n23277 \"']).\" 4\n23278 \"']):\" 4\n23279 \"']);\" 4\n23280 \"']==\" 4\n23281 \"']['\" 4\n23282 \"']],\" 4\n23283 '(\"--' 4\n23284 '(\"./' 4\n23285 \"('',\" 4\n23286 \"('--\" 4\n23287 \"('./\" 4\n23288 '()))' 4\n23289 '()),' 4\n23290 '()).' 4\n23291 '()):' 4\n23292 '());' 4\n23293 '()->' 4\n23294 '()</' 4\n23295 '(...' 4\n23296 '(_(\"' 4\n23297 '))))' 4\n23298 '))).' 4\n23299 ')));' 4\n23300 ')...' 4\n23301 ')».' 4\n23302 ')—' 4\n23303 ')”' 4\n23304 ')，' 4\n23305 '****' 4\n23306 '++){' 4\n23307 '++++' 4\n23308 '+-+-' 4\n23309 ',,,,' 4\n23310 ',...' 4\n23311 ',—' 4\n23312 ',’' 4\n23313 ',”' 4\n23314 ',…' 4\n23315 '---+' 4\n23316 '----' 4\n23317 '.\"\"\"' 4\n23318 '.\");' 4\n23319 '...\"' 4\n23320 \"...'\" 4\n23321 '...)' 4\n23322 '...,' 4\n23323 '....' 4\n23324 '...\\\\' 4\n23325 '...]' 4\n23326 '.—' 4\n23327 '.’' 4\n23328 '.“' 4\n23329 '.”' 4\n23330 '.…' 4\n23331 '////' 4\n23332 '/−' 4\n23333 '::::' 4\n23334 ':“' 4\n23335 ';;;;' 4\n23336 '<!--' 4\n23337 '<<<<' 4\n23338 '=\"\",' 4\n23339 '=\"\">' 4\n23340 '=\"${' 4\n23341 '=\"@+' 4\n23342 \"='')\" 4\n23343 '=-=-' 4\n23344 '====' 4\n23345 '=”' 4\n23346 '>();' 4\n23347 '>>>>' 4\n23348 '?,?,' 4\n23349 '????' 4\n23350 '?’' 4\n23351 '?”' 4\n23352 '@@@@' 4\n23353 'AAAA' 4\n23354 'ABEL' 4\n23355 'ABLE' 4\n23356 'ACES' 4\n23357 'ACHE' 4\n23358 'ADDR' 4\n23359 'ADER' 4\n23360 'AGES' 4\n23361 'AIDS' 4\n23362 'ALLY' 4\n23363 'ALOG' 4\n23364 'ALSE' 4\n23365 'ALTH' 4\n23366 'AMES' 4\n23367 'ANCE' 4\n23368 'ANGE' 4\n23369 'ANGO' 4\n23370 'ANTS' 4\n23371 'ARCH' 4\n23372 'ARGS' 4\n23373 'ATAL' 4\n23374 'ATCH' 4\n23375 'ATED' 4\n23376 'ATEG' 4\n23377 'ATER' 4\n23378 'ATES' 4\n23379 'ATIC' 4\n23380 'ATOM' 4\n23381 'ATOR' 4\n23382 'ATTR' 4\n23383 'AUTH' 4\n23384 'AUTO' 4\n23385 'Adam' 4\n23386 'Addr' 4\n23387 'Alan' 4\n23388 'Alex' 4\n23389 'Also' 4\n23390 'Anal' 4\n23391 'Andy' 4\n23392 'Anim' 4\n23393 'Anna' 4\n23394 'Anne' 4\n23395 'Anth' 4\n23396 'Anti' 4\n23397 'Appe' 4\n23398 'Apps' 4\n23399 'Arab' 4\n23400 'Arch' 4\n23401 'Area' 4\n23402 'Args' 4\n23403 'Asia' 4\n23404 'Atom' 4\n23405 'Attr' 4\n23406 'Auth' 4\n23407 'Auto' 4\n23408 'Axes' 4\n23409 'Axis' 4\n23410 'BACK' 4\n23411 'BASE' 4\n23412 'BERT' 4\n23413 'BITS' 4\n23414 'BLUE' 4\n23415 'BOOK' 4\n23416 'BOOL' 4\n23417 'BUFF' 4\n23418 'BYTE' 4\n23419 'Baby' 4\n23420 'Back' 4\n23421 'Ball' 4\n23422 'Band' 4\n23423 'Bang' 4\n23424 'Bank' 4\n23425 'Base' 4\n23426 'Beam' 4\n23427 'Bean' 4\n23428 'Beat' 4\n23429 'Bell' 4\n23430 'Bern' 4\n23431 'Bert' 4\n23432 'Best' 4\n23433 'Beta' 4\n23434 'Bias' 4\n23435 'Bill' 4\n23436 'Bind' 4\n23437 'Bits' 4\n23438 'Blob' 4\n23439 'Blog' 4\n23440 'Blue' 4\n23441 'Blur' 4\n23442 'Body' 4\n23443 'Bold' 4\n23444 'Book' 4\n23445 'Bool' 4\n23446 'Boot' 4\n23447 'Born' 4\n23448 'Boss' 4\n23449 'Both' 4\n23450 'Brad' 4\n23451 'Brit' 4\n23452 'Bron' 4\n23453 'Buff' 4\n23454 'Burn' 4\n23455 'ById' 4\n23456 'Byte' 4\n23457 'CADE' 4\n23458 'CALL' 4\n23459 'CASE' 4\n23460 'CAST' 4\n23461 'CCCC' 4\n23462 'CENT' 4\n23463 'CEPT' 4\n23464 'CHAR' 4\n23465 'CLUD' 4\n23466 'CLUS' 4\n23467 'CODE' 4\n23468 'COMM' 4\n23469 'COMP' 4\n23470 'COND' 4\n23471 'CONF' 4\n23472 'CONN' 4\n23473 'CONT' 4\n23474 'COPY' 4\n23475 'CORE' 4\n23476 'COUN' 4\n23477 'CTOR' 4\n23478 'CTRL' 4\n23479 'CUDA' 4\n23480 'Calc' 4\n23481 'Call' 4\n23482 'Camb' 4\n23483 'Camp' 4\n23484 'Cand' 4\n23485 'Capt' 4\n23486 'Card' 4\n23487 'Care' 4\n23488 'Carl' 4\n23489 'Cart' 4\n23490 'Case' 4\n23491 'Cash' 4\n23492 'Cast' 4\n23493 'Cath' 4\n23494 'Cell' 4\n23495 'Cent' 4\n23496 'Cert' 4\n23497 'Chan' 4\n23498 'Chap' 4\n23499 'Char' 4\n23500 'Chat' 4\n23501 'Chem' 4\n23502 'Chen' 4\n23503 'Chip' 4\n23504 'Circ' 4\n23505 'City' 4\n23506 'Clar' 4\n23507 'Clip' 4\n23508 'Club' 4\n23509 'Code' 4\n23510 'Coin' 4\n23511 'Cold' 4\n23512 'Cole' 4\n23513 'Coll' 4\n23514 'Cols' 4\n23515 'Comb' 4\n23516 'Come' 4\n23517 'Comm' 4\n23518 'Comp' 4\n23519 'Cond' 4\n23520 'Conf' 4\n23521 'Cong' 4\n23522 'Conn' 4\n23523 'Cons' 4\n23524 'Cont' 4\n23525 'Conv' 4\n23526 'Cook' 4\n23527 'Cool' 4\n23528 'Copy' 4\n23529 'Core' 4\n23530 'Corn' 4\n23531 'Corp' 4\n23532 'Cost' 4\n23533 'Cour' 4\n23534 'Cred' 4\n23535 'Crit' 4\n23536 'Crop' 4\n23537 'Ctrl' 4\n23538 'Cube' 4\n23539 'Curr' 4\n23540 'DATA' 4\n23541 'DATE' 4\n23542 'DECL' 4\n23543 'DESC' 4\n23544 'DIFF' 4\n23545 'DIST' 4\n23546 'DONE' 4\n23547 'DOWN' 4\n23548 'DRAW' 4\n23549 'DROP' 4\n23550 'Damn' 4\n23551 'Dark' 4\n23552 'Dash' 4\n23553 'Data' 4\n23554 'Date' 4\n23555 'Dave' 4\n23556 'Days' 4\n23557 'Dead' 4\n23558 'Dear' 4\n23559 'Decl' 4\n23560 'Deep' 4\n23561 'Dele' 4\n23562 'Demo' 4\n23563 'Desc' 4\n23564 'Dest' 4\n23565 'Diam' 4\n23566 'Dick' 4\n23567 'Dict' 4\n23568 'Diff' 4\n23569 'Dire' 4\n23570 'Disc' 4\n23571 'Disk' 4\n23572 'Disp' 4\n23573 'Dist' 4\n23574 'Dock' 4\n23575 'Docs' 4\n23576 'Does' 4\n23577 'Done' 4\n23578 'Door' 4\n23579 'Doug' 4\n23580 'Down' 4\n23581 'Drag' 4\n23582 'Draw' 4\n23583 'Drop' 4\n23584 'Drug' 4\n23585 'Dump' 4\n23586 'EDIT' 4\n23587 'EEEE' 4\n23588 'EGIN' 4\n23589 'EMPL' 4\n23590 'ENCE' 4\n23591 'ENCY' 4\n23592 'ENER' 4\n23593 'ENSE' 4\n23594 'ENTS' 4\n23595 'ERIC' 4\n23596 'ESCO' 4\n23597 'EXEC' 4\n23598 'EXIT' 4\n23599 'Each' 4\n23600 'East' 4\n23601 'Easy' 4\n23602 'Echo' 4\n23603 'Edge' 4\n23604 'Edit' 4\n23605 'Educ' 4\n23606 'Elem' 4\n23607 'Else' 4\n23608 'Emer' 4\n23609 'Emit' 4\n23610 'Enum' 4\n23611 'Eric' 4\n23612 'Euro' 4\n23613 'Eval' 4\n23614 'Even' 4\n23615 'Ever' 4\n23616 'Exec' 4\n23617 'Exit' 4\n23618 'Expl' 4\n23619 'Expr' 4\n23620 'FACE' 4\n23621 'FAIL' 4\n23622 'FAST' 4\n23623 'FFER' 4\n23624 'FFFF' 4\n23625 'FILE' 4\n23626 'FLAG' 4\n23627 'FLOW' 4\n23628 'FONT' 4\n23629 'FORE' 4\n23630 'FORM' 4\n23631 'FREE' 4\n23632 'FROM' 4\n23633 'FULL' 4\n23634 'FUNC' 4\n23635 'Face' 4\n23636 'Fact' 4\n23637 'Fail' 4\n23638 'Fair' 4\n23639 'Fake' 4\n23640 'Fall' 4\n23641 'Farm' 4\n23642 'Fast' 4\n23643 'Feed' 4\n23644 'Feel' 4\n23645 'File' 4\n23646 'Fill' 4\n23647 'Film' 4\n23648 'Find' 4\n23649 'Fine' 4\n23650 'Fire' 4\n23651 'Fish' 4\n23652 'Five' 4\n23653 'Flag' 4\n23654 'Flat' 4\n23655 'Flex' 4\n23656 'Flip' 4\n23657 'Flor' 4\n23658 'Flow' 4\n23659 'Fold' 4\n23660 'Font' 4\n23661 'Food' 4\n23662 'Foot' 4\n23663 'Ford' 4\n23664 'Fore' 4\n23665 'Form' 4\n23666 'Fort' 4\n23667 'Four' 4\n23668 'Frag' 4\n23669 'Fran' 4\n23670 'Fred' 4\n23671 'Free' 4\n23672 'From' 4\n23673 'Fuck' 4\n23674 'Full' 4\n23675 'Func' 4\n23676 'Fund' 4\n23677 'Für' 4\n23678 'GPIO' 4\n23679 'GRAM' 4\n23680 'GUID' 4\n23681 'Gain' 4\n23682 'Game' 4\n23683 'Gary' 4\n23684 'Gate' 4\n23685 'Gene' 4\n23686 'Geom' 4\n23687 'Germ' 4\n23688 'Gest' 4\n23689 'Girl' 4\n23690 'Give' 4\n23691 'Glob' 4\n23692 'Goal' 4\n23693 'Gold' 4\n23694 'Good' 4\n23695 'Grab' 4\n23696 'Grad' 4\n23697 'Gram' 4\n23698 'Gran' 4\n23699 'Gray' 4\n23700 'Greg' 4\n23701 'Grid' 4\n23702 'Grow' 4\n23703 'Guid' 4\n23704 'HAND' 4\n23705 'HASH' 4\n23706 'HEAD' 4\n23707 'HERE' 4\n23708 'HIGH' 4\n23709 'HOME' 4\n23710 'HOST' 4\n23711 'HOUT' 4\n23712 'HTML' 4\n23713 'HTTP' 4\n23714 'Half' 4\n23715 'Hall' 4\n23716 'Hand' 4\n23717 'Hang' 4\n23718 'Hard' 4\n23719 'Hart' 4\n23720 'Hash' 4\n23721 'Have' 4\n23722 'Head' 4\n23723 'Heap' 4\n23724 'Heat' 4\n23725 'Hell' 4\n23726 'Help' 4\n23727 'Here' 4\n23728 'Hero' 4\n23729 'Hide' 4\n23730 'High' 4\n23731 'Hill' 4\n23732 'Hint' 4\n23733 'Hist' 4\n23734 'Hold' 4\n23735 'Holy' 4\n23736 'Home' 4\n23737 'Hong' 4\n23738 'Hook' 4\n23739 'Hope' 4\n23740 'Host' 4\n23741 'Hour' 4\n23742 'Html' 4\n23743 'Http' 4\n23744 'Hung' 4\n23745 'IBLE' 4\n23746 'IBUT' 4\n23747 'ICAL' 4\n23748 'ICAg' 4\n23749 'ICES' 4\n23750 'ICLE' 4\n23751 'ICON' 4\n23752 'IDER' 4\n23753 'IDTH' 4\n23754 'IEEE' 4\n23755 'IENT' 4\n23756 'IFIC' 4\n23757 'IGHT' 4\n23758 'ILED' 4\n23759 'ILLE' 4\n23760 'IMAL' 4\n23761 'IMIT' 4\n23762 'INCT' 4\n23763 'INES' 4\n23764 'INFO' 4\n23765 'INGS' 4\n23766 'INIT' 4\n23767 'INST' 4\n23768 'IONS' 4\n23769 'IOUS' 4\n23770 'IRED' 4\n23771 'IRST' 4\n23772 'ISBN' 4\n23773 'ISON' 4\n23774 'ISTR' 4\n23775 'ISTS' 4\n23776 'ITAL' 4\n23777 'ITCH' 4\n23778 'ITED' 4\n23779 'ITEM' 4\n23780 'ITER' 4\n23781 'ITES' 4\n23782 'ITLE' 4\n23783 'ITOR' 4\n23784 'IVER' 4\n23785 'IZED' 4\n23786 'IZER' 4\n23787 'Icon' 4\n23788 'Idle' 4\n23789 'Impl' 4\n23790 'Infl' 4\n23791 'Info' 4\n23792 'Init' 4\n23793 'Insp' 4\n23794 'Inst' 4\n23795 'Into' 4\n23796 'Iran' 4\n23797 'Iron' 4\n23798 'Ital' 4\n23799 'Item' 4\n23800 'Iter' 4\n23801 'IÓN' 4\n23802 'JECT' 4\n23803 'JOIN' 4\n23804 'JSON' 4\n23805 'JUST' 4\n23806 'Jack' 4\n23807 'Jane' 4\n23808 'Java' 4\n23809 'Jean' 4\n23810 'Jeff' 4\n23811 'Jess' 4\n23812 'Jobs' 4\n23813 'John' 4\n23814 'Join' 4\n23815 'Jose' 4\n23816 'Josh' 4\n23817 'Json' 4\n23818 'July' 4\n23819 'Jump' 4\n23820 'June' 4\n23821 'Just' 4\n23822 'KEEP' 4\n23823 'Kate' 4\n23824 'Keep' 4\n23825 'Kenn' 4\n23826 'Keys' 4\n23827 'Kill' 4\n23828 'Kind' 4\n23829 'King' 4\n23830 'Know' 4\n23831 'LAND' 4\n23832 'LANG' 4\n23833 'LAST' 4\n23834 'LDAP' 4\n23835 'LEAN' 4\n23836 'LEAR' 4\n23837 'LECT' 4\n23838 'LEFT' 4\n23839 'LETE' 4\n23840 'LINE' 4\n23841 'LINK' 4\n23842 'LIST' 4\n23843 'LOAD' 4\n23844 'LOAT' 4\n23845 'LOCK' 4\n23846 'LONG' 4\n23847 'LOOP' 4\n23848 'LSTM' 4\n23849 'Lady' 4\n23850 'Lake' 4\n23851 'Land' 4\n23852 'Lang' 4\n23853 'Last' 4\n23854 'Late' 4\n23855 'Lazy' 4\n23856 'Lead' 4\n23857 'Leaf' 4\n23858 'Lean' 4\n23859 'Lear' 4\n23860 'Left' 4\n23861 'Leon' 4\n23862 'Less' 4\n23863 'Life' 4\n23864 'Like' 4\n23865 'Line' 4\n23866 'Link' 4\n23867 'List' 4\n23868 'Lite' 4\n23869 'Live' 4\n23870 'Load' 4\n23871 'Lock' 4\n23872 'Logo' 4\n23873 'Long' 4\n23874 'Look' 4\n23875 'Loop' 4\n23876 'Lord' 4\n23877 'Loss' 4\n23878 'Lost' 4\n23879 'Love' 4\n23880 'Luke' 4\n23881 'MAIL' 4\n23882 'MAIN' 4\n23883 'MAKE' 4\n23884 'MARK' 4\n23885 'MASK' 4\n23886 'MBOL' 4\n23887 'MENT' 4\n23888 'MENU' 4\n23889 'MESS' 4\n23890 'META' 4\n23891 'MISS' 4\n23892 'MMMM' 4\n23893 'MODE' 4\n23894 'MORE' 4\n23895 'MULT' 4\n23896 'Mach' 4\n23897 'Made' 4\n23898 'Magn' 4\n23899 'Mail' 4\n23900 'Main' 4\n23901 'Make' 4\n23902 'Male' 4\n23903 'Many' 4\n23904 'Maps' 4\n23905 'Marc' 4\n23906 'Marg' 4\n23907 'Mark' 4\n23908 'Mart' 4\n23909 'Mary' 4\n23910 'Mask' 4\n23911 'Mass' 4\n23912 'Math' 4\n23913 'Matt' 4\n23914 'Mean' 4\n23915 'Meet' 4\n23916 'Memo' 4\n23917 'Menu' 4\n23918 'Merc' 4\n23919 'Mesh' 4\n23920 'Mess' 4\n23921 'Meta' 4\n23922 'Mich' 4\n23923 'Mike' 4\n23924 'Mill' 4\n23925 'Mind' 4\n23926 'Mini' 4\n23927 'Misc' 4\n23928 'Miss' 4\n23929 'Mock' 4\n23930 'Mode' 4\n23931 'Mont' 4\n23932 'Moon' 4\n23933 'More' 4\n23934 'Most' 4\n23935 'Move' 4\n23936 'Much' 4\n23937 'Mult' 4\n23938 'Must' 4\n23939 'NAME' 4\n23940 'NASA' 4\n23941 'NECT' 4\n23942 'NESS' 4\n23943 'NEWS' 4\n23944 'NEXT' 4\n23945 'NING' 4\n23946 'NODE' 4\n23947 'NONE' 4\n23948 'NOTE' 4\n23949 'NULL' 4\n23950 'Name' 4\n23951 'Near' 4\n23952 'Need' 4\n23953 'Neil' 4\n23954 'News' 4\n23955 'Next' 4\n23956 'Nice' 4\n23957 'Nick' 4\n23958 'Node' 4\n23959 'Nome' 4\n23960 'None' 4\n23961 'Norm' 4\n23962 'Note' 4\n23963 'Nova' 4\n23964 'Null' 4\n23965 'Não' 4\n23966 'ONES' 4\n23967 'ONLY' 4\n23968 'OPEN' 4\n23969 'OPER' 4\n23970 'ORIZ' 4\n23971 'OTAL' 4\n23972 'OUND' 4\n23973 'OVER' 4\n23974 'OWER' 4\n23975 'Ohio' 4\n23976 'Okay' 4\n23977 'Once' 4\n23978 'Only' 4\n23979 'Oops' 4\n23980 'Open' 4\n23981 'Oper' 4\n23982 'Opts' 4\n23983 'Orig' 4\n23984 'Over' 4\n23985 'PACK' 4\n23986 'PAGE' 4\n23987 'PART' 4\n23988 'PASS' 4\n23989 'PATH' 4\n23990 'PECT' 4\n23991 'PING' 4\n23992 'PLAY' 4\n23993 'PORT' 4\n23994 'POSE' 4\n23995 'POST' 4\n23996 'PRES' 4\n23997 'PROC' 4\n23998 'PROP' 4\n23999 'PUBL' 4\n24000 'Pack' 4\n24001 'Page' 4\n24002 'Pain' 4\n24003 'Pair' 4\n24004 'Pane' 4\n24005 'Para' 4\n24006 'Park' 4\n24007 'Part' 4\n24008 'Pass' 4\n24009 'Past' 4\n24010 'Path' 4\n24011 'Paul' 4\n24012 'Pear' 4\n24013 'Peer' 4\n24014 'Perm' 4\n24015 'Pers' 4\n24016 'Phil' 4\n24017 'Phot' 4\n24018 'Phys' 4\n24019 'Pick' 4\n24020 'Pier' 4\n24021 'Ping' 4\n24022 'Pipe' 4\n24023 'Plan' 4\n24024 'Play' 4\n24025 'Plot' 4\n24026 'Plug' 4\n24027 'Plus' 4\n24028 'Poll' 4\n24029 'Poly' 4\n24030 'Pont' 4\n24031 'Pool' 4\n24032 'Poor' 4\n24033 'Port' 4\n24034 'Pose' 4\n24035 'Poss' 4\n24036 'Post' 4\n24037 'Pour' 4\n24038 'Prec' 4\n24039 'Pred' 4\n24040 'Pref' 4\n24041 'Prem' 4\n24042 'Prep' 4\n24043 'Pres' 4\n24044 'Prev' 4\n24045 'Prim' 4\n24046 'Priv' 4\n24047 'Prob' 4\n24048 'Proc' 4\n24049 'Prod' 4\n24050 'Prof' 4\n24051 'Prog' 4\n24052 'Proj' 4\n24053 'Prom' 4\n24054 'Prop' 4\n24055 'Pros' 4\n24056 'Prot' 4\n24057 'Prov' 4\n24058 'Pull' 4\n24059 'Pure' 4\n24060 'Push' 4\n24061 'QUAL' 4\n24062 'Quad' 4\n24063 'Qual' 4\n24064 'Quit' 4\n24065 'Qué' 4\n24066 'RATE' 4\n24067 'READ' 4\n24068 'REAL' 4\n24069 'REAM' 4\n24070 'RECT' 4\n24071 'RENT' 4\n24072 'REPL' 4\n24073 'REQU' 4\n24074 'RESH' 4\n24075 'RESS' 4\n24076 'REST' 4\n24077 'RGBA' 4\n24078 'RIPT' 4\n24079 'RNAs' 4\n24080 'ROLE' 4\n24081 'ROLL' 4\n24082 'ROOT' 4\n24083 'ROUP' 4\n24084 'ROUT' 4\n24085 'Race' 4\n24086 'Radi' 4\n24087 'Rail' 4\n24088 'Rain' 4\n24089 'Rand' 4\n24090 'Rank' 4\n24091 'Rate' 4\n24092 'ReLU' 4\n24093 'Read' 4\n24094 'Real' 4\n24095 'Rece' 4\n24096 'Rect' 4\n24097 'Repo' 4\n24098 'Resp' 4\n24099 'Rest' 4\n24100 'Rich' 4\n24101 'Rick' 4\n24102 'Ring' 4\n24103 'Risk' 4\n24104 'Road' 4\n24105 'Rock' 4\n24106 'Role' 4\n24107 'Roll' 4\n24108 'Room' 4\n24109 'Root' 4\n24110 'Rose' 4\n24111 'Ross' 4\n24112 'Rout' 4\n24113 'Rows' 4\n24114 'Ruby' 4\n24115 'Rule' 4\n24116 'Russ' 4\n24117 'Ryan' 4\n24118 'SAME' 4\n24119 'SCAN' 4\n24120 'SELF' 4\n24121 'SENT' 4\n24122 'SEQU' 4\n24123 'SHOT' 4\n24124 'SIGN' 4\n24125 'SION' 4\n24126 'SIZE' 4\n24127 'SKIP' 4\n24128 'SMTP' 4\n24129 'SPEC' 4\n24130 'STAR' 4\n24131 'STAT' 4\n24132 'STEM' 4\n24133 'STEP' 4\n24134 'STER' 4\n24135 'STIT' 4\n24136 'STOP' 4\n24137 'STRU' 4\n24138 'Safe' 4\n24139 'Sale' 4\n24140 'Salt' 4\n24141 'Same' 4\n24142 'Sand' 4\n24143 'Sans' 4\n24144 'Save' 4\n24145 'Scal' 4\n24146 'Scan' 4\n24147 'Sche' 4\n24148 'Seed' 4\n24149 'Seek' 4\n24150 'Self' 4\n24151 'Sell' 4\n24152 'Send' 4\n24153 'Sent' 4\n24154 'Sept' 4\n24155 'Sequ' 4\n24156 'Serv' 4\n24157 'Sets' 4\n24158 'Shar' 4\n24159 'Sher' 4\n24160 'Ship' 4\n24161 'Shop' 4\n24162 'Shot' 4\n24163 'Show' 4\n24164 'Side' 4\n24165 'Sign' 4\n24166 'Sing' 4\n24167 'Sink' 4\n24168 'Site' 4\n24169 'Size' 4\n24170 'Skin' 4\n24171 'Skip' 4\n24172 'Slot' 4\n24173 'Slow' 4\n24174 'Snap' 4\n24175 'Snow' 4\n24176 'Soft' 4\n24177 'Sold' 4\n24178 'Some' 4\n24179 'Song' 4\n24180 'Sony' 4\n24181 'Soon' 4\n24182 'Sort' 4\n24183 'Soup' 4\n24184 'Span' 4\n24185 'Spec' 4\n24186 'Spin' 4\n24187 'Spot' 4\n24188 'Stan' 4\n24189 'Star' 4\n24190 'Stat' 4\n24191 'Stay' 4\n24192 'Step' 4\n24193 'Stmt' 4\n24194 'Stop' 4\n24195 'Stra' 4\n24196 'Stre' 4\n24197 'Stub' 4\n24198 'Stud' 4\n24199 'Such' 4\n24200 'Suit' 4\n24201 'Supp' 4\n24202 'Sure' 4\n24203 'Swap' 4\n24204 'Sync' 4\n24205 'TAIN' 4\n24206 'TASK' 4\n24207 'TEMP' 4\n24208 'TERN' 4\n24209 'TEST' 4\n24210 'TEXT' 4\n24211 'THER' 4\n24212 'THIS' 4\n24213 'THON' 4\n24214 'TIME' 4\n24215 'TING' 4\n24216 'TION' 4\n24217 'TODO' 4\n24218 'TOOL' 4\n24219 'TRAN' 4\n24220 'TRUE' 4\n24221 'TYPE' 4\n24222 'Tabs' 4\n24223 'Tags' 4\n24224 'Tail' 4\n24225 'Take' 4\n24226 'Talk' 4\n24227 'Tang' 4\n24228 'Task' 4\n24229 'Team' 4\n24230 'Tech' 4\n24231 'Tele' 4\n24232 'Tell' 4\n24233 'Temp' 4\n24234 'Term' 4\n24235 'Test' 4\n24236 'Text' 4\n24237 'Than' 4\n24238 'That' 4\n24239 'Then' 4\n24240 'Ther' 4\n24241 'They' 4\n24242 'This' 4\n24243 'Thus' 4\n24244 'Tick' 4\n24245 'Tile' 4\n24246 'Time' 4\n24247 'Tipo' 4\n24248 'Tips' 4\n24249 'Todo' 4\n24250 'Tony' 4\n24251 'Tool' 4\n24252 'Tour' 4\n24253 'Town' 4\n24254 'Trad' 4\n24255 'Tree' 4\n24256 'Trim' 4\n24257 'Trip' 4\n24258 'True' 4\n24259 'Tube' 4\n24260 'Turn' 4\n24261 'Type' 4\n24262 'Tên' 4\n24263 'UBLE' 4\n24264 'UILD' 4\n24265 'UINT' 4\n24266 'UInt' 4\n24267 'ULAR' 4\n24268 'UNIT' 4\n24269 'URAL' 4\n24270 'URES' 4\n24271 'USED' 4\n24272 'USER' 4\n24273 'UUID' 4\n24274 'Uint' 4\n24275 'Undo' 4\n24276 'Unit' 4\n24277 'Unix' 4\n24278 'Upon' 4\n24279 'Urls' 4\n24280 'Used' 4\n24281 'User' 4\n24282 'Util' 4\n24283 'VARI' 4\n24284 'VENT' 4\n24285 'VERS' 4\n24286 'VERT' 4\n24287 'VICE' 4\n24288 'VIEW' 4\n24289 'Vari' 4\n24290 'Vars' 4\n24291 'Verb' 4\n24292 'Vers' 4\n24293 'Vert' 4\n24294 'Very' 4\n24295 'Vict' 4\n24296 'Viet' 4\n24297 'View' 4\n24298 'Vill' 4\n24299 'Viol' 4\n24300 'Void' 4\n24301 'Vote' 4\n24302 'Vous' 4\n24303 'WAIT' 4\n24304 'WARD' 4\n24305 'WARE' 4\n24306 'WARN' 4\n24307 'WAYS' 4\n24308 'WEEN' 4\n24309 'WHAT' 4\n24310 'WISE' 4\n24311 'WITH' 4\n24312 'WORD' 4\n24313 'WORK' 4\n24314 'Wait' 4\n24315 'Walk' 4\n24316 'Wall' 4\n24317 'Wang' 4\n24318 'Want' 4\n24319 'Warn' 4\n24320 'Wave' 4\n24321 'Weak' 4\n24322 'Week' 4\n24323 'Well' 4\n24324 'Were' 4\n24325 'West' 4\n24326 'What' 4\n24327 'When' 4\n24328 'Whit' 4\n24329 'Wide' 4\n24330 'Wiki' 4\n24331 'Wild' 4\n24332 'Will' 4\n24333 'Wind' 4\n24334 'Wire' 4\n24335 'With' 4\n24336 'Wolf' 4\n24337 'Wood' 4\n24338 'Word' 4\n24339 'Work' 4\n24340 'Wrap' 4\n24341 'Writ' 4\n24342 'XXXX' 4\n24343 'YEAR' 4\n24344 'YYYY' 4\n24345 'Yang' 4\n24346 'Yeah' 4\n24347 'Year' 4\n24348 'York' 4\n24349 'Your' 4\n24350 'ZERO' 4\n24351 'ZONE' 4\n24352 'Zero' 4\n24353 'Zone' 4\n24354 'Zoom' 4\n24355 '\\\\\\\\\\\\\\\\' 4\n24356 '])))' 4\n24357 '])),' 4\n24358 ']));' 4\n24359 '^^^^' 4\n24360 '^−' 4\n24361 '__(\"' 4\n24362 '__()' 4\n24363 '____' 4\n24364 'aaaa' 4\n24365 'abad' 4\n24366 'abal' 4\n24367 'aban' 4\n24368 'abar' 4\n24369 'abbr' 4\n24370 'abcd' 4\n24371 'abei' 4\n24372 'abel' 4\n24373 'aben' 4\n24374 'aber' 4\n24375 'abet' 4\n24376 'abil' 4\n24377 'abin' 4\n24378 'abis' 4\n24379 'abit' 4\n24380 'abla' 4\n24381 'able' 4\n24382 'ablo' 4\n24383 'ably' 4\n24384 'abol' 4\n24385 'abor' 4\n24386 'abul' 4\n24387 'abus' 4\n24388 'abwe' 4\n24389 'acao' 4\n24390 'acas' 4\n24391 'acci' 4\n24392 'acco' 4\n24393 'acea' 4\n24394 'aced' 4\n24395 'acer' 4\n24396 'aces' 4\n24397 'acet' 4\n24398 'acey' 4\n24399 'acha' 4\n24400 'ache' 4\n24401 'achi' 4\n24402 'acho' 4\n24403 'acht' 4\n24404 'achu' 4\n24405 'achy' 4\n24406 'acia' 4\n24407 'acic' 4\n24408 'acid' 4\n24409 'acin' 4\n24410 'acio' 4\n24411 'acks' 4\n24412 'acle' 4\n24413 'acon' 4\n24414 'acos' 4\n24415 'acre' 4\n24416 'acro' 4\n24417 'acts' 4\n24418 'acus' 4\n24419 'ací' 4\n24420 'adal' 4\n24421 'adam' 4\n24422 'adan' 4\n24423 'adas' 4\n24424 'aday' 4\n24425 'addr' 4\n24426 'addy' 4\n24427 'aded' 4\n24428 'adel' 4\n24429 'adem' 4\n24430 'aden' 4\n24431 'ader' 4\n24432 'ades' 4\n24433 'adia' 4\n24434 'adic' 4\n24435 'adin' 4\n24436 'adir' 4\n24437 'adoc' 4\n24438 'ador' 4\n24439 'ados' 4\n24440 'adow' 4\n24441 'adó' 4\n24442 'aeda' 4\n24443 'afen' 4\n24444 'affe' 4\n24445 'afia' 4\n24446 'afka' 4\n24447 'afé' 4\n24448 'agan' 4\n24449 'agar' 4\n24450 'agas' 4\n24451 'aged' 4\n24452 'agem' 4\n24453 'agen' 4\n24454 'ager' 4\n24455 'ages' 4\n24456 'agic' 4\n24457 'agin' 4\n24458 'agit' 4\n24459 'agle' 4\n24460 'agli' 4\n24461 'agma' 4\n24462 'agna' 4\n24463 'agne' 4\n24464 'agog' 4\n24465 'agon' 4\n24466 'agos' 4\n24467 'agra' 4\n24468 'agua' 4\n24469 'ague' 4\n24470 'agus' 4\n24471 'ahan' 4\n24472 'ahoo' 4\n24473 'aign' 4\n24474 'ails' 4\n24475 'aily' 4\n24476 'aina' 4\n24477 'aine' 4\n24478 'ains' 4\n24479 'aint' 4\n24480 'aird' 4\n24481 'aire' 4\n24482 'airo' 4\n24483 'airs' 4\n24484 'airy' 4\n24485 'aise' 4\n24486 'aisy' 4\n24487 'ajan' 4\n24488 'ajas' 4\n24489 'ajax' 4\n24490 'ajes' 4\n24491 'ajor' 4\n24492 'ają' 4\n24493 'akan' 4\n24494 'aked' 4\n24495 'aken' 4\n24496 'aker' 4\n24497 'akes' 4\n24498 'akia' 4\n24499 'akin' 4\n24500 'akis' 4\n24501 'akov' 4\n24502 'alam' 4\n24503 'alan' 4\n24504 'alar' 4\n24505 'aldi' 4\n24506 'aldo' 4\n24507 'aleb' 4\n24508 'aled' 4\n24509 'alem' 4\n24510 'alen' 4\n24511 'aler' 4\n24512 'ales' 4\n24513 'alex' 4\n24514 'aley' 4\n24515 'alez' 4\n24516 'algo' 4\n24517 'alia' 4\n24518 'alin' 4\n24519 'alis' 4\n24520 'alla' 4\n24521 'alle' 4\n24522 'alli' 4\n24523 'allo' 4\n24524 'alls' 4\n24525 'ally' 4\n24526 'alog' 4\n24527 'alom' 4\n24528 'alon' 4\n24529 'alph' 4\n24530 'alsa' 4\n24531 'alse' 4\n24532 'also' 4\n24533 'alta' 4\n24534 'alth' 4\n24535 'alty' 4\n24536 'alus' 4\n24537 'amac' 4\n24538 'aman' 4\n24539 'amar' 4\n24540 'amas' 4\n24541 'amat' 4\n24542 'amaz' 4\n24543 'amba' 4\n24544 'ambi' 4\n24545 'ambo' 4\n24546 'amed' 4\n24547 'amel' 4\n24548 'amen' 4\n24549 'amer' 4\n24550 'ames' 4\n24551 'amic' 4\n24552 'amil' 4\n24553 'amin' 4\n24554 'amis' 4\n24555 'amma' 4\n24556 'amon' 4\n24557 'amos' 4\n24558 'ampa' 4\n24559 'ampl' 4\n24560 'amps' 4\n24561 'amus' 4\n24562 'anal' 4\n24563 'anan' 4\n24564 'anas' 4\n24565 'anca' 4\n24566 'ance' 4\n24567 'anch' 4\n24568 'anco' 4\n24569 'ancy' 4\n24570 'anda' 4\n24571 'ande' 4\n24572 'andi' 4\n24573 'ando' 4\n24574 'andr' 4\n24575 'ands' 4\n24576 'andy' 4\n24577 'aned' 4\n24578 'anel' 4\n24579 'anes' 4\n24580 'aney' 4\n24581 'anga' 4\n24582 'ange' 4\n24583 'angi' 4\n24584 'ango' 4\n24585 'angs' 4\n24586 'angu' 4\n24587 'ania' 4\n24588 'anic' 4\n24589 'anie' 4\n24590 'anim' 4\n24591 'anja' 4\n24592 'anje' 4\n24593 'anka' 4\n24594 'anke' 4\n24595 'anks' 4\n24596 'anna' 4\n24597 'anne' 4\n24598 'anni' 4\n24599 'anno' 4\n24600 'anny' 4\n24601 'anol' 4\n24602 'anon' 4\n24603 'anor' 4\n24604 'anos' 4\n24605 'anse' 4\n24606 'ansi' 4\n24607 'ansk' 4\n24608 'anst' 4\n24609 'answ' 4\n24610 'anta' 4\n24611 'ante' 4\n24612 'anth' 4\n24613 'anti' 4\n24614 'anto' 4\n24615 'ants' 4\n24616 'antz' 4\n24617 'anus' 4\n24618 'anut' 4\n24619 'anya' 4\n24620 'anye' 4\n24621 'anyl' 4\n24622 'anza' 4\n24623 'anç' 4\n24624 'apan' 4\n24625 'apat' 4\n24626 'aped' 4\n24627 'aper' 4\n24628 'apes' 4\n24629 'apid' 4\n24630 'apis' 4\n24631 'apon' 4\n24632 'apor' 4\n24633 'appa' 4\n24634 'appe' 4\n24635 'appl' 4\n24636 'apps' 4\n24637 'appy' 4\n24638 'apro' 4\n24639 'apse' 4\n24640 'apur' 4\n24641 'aque' 4\n24642 'arak' 4\n24643 'aram' 4\n24644 'aran' 4\n24645 'aras' 4\n24646 'arat' 4\n24647 'arch' 4\n24648 'arda' 4\n24649 'arde' 4\n24650 'ardi' 4\n24651 'ardo' 4\n24652 'ards' 4\n24653 'area' 4\n24654 'ared' 4\n24655 'arel' 4\n24656 'arem' 4\n24657 'aren' 4\n24658 'arer' 4\n24659 'ares' 4\n24660 'aret' 4\n24661 'arez' 4\n24662 'arga' 4\n24663 'arge' 4\n24664 'argo' 4\n24665 'args' 4\n24666 'argv' 4\n24667 'aria' 4\n24668 'arie' 4\n24669 'arin' 4\n24670 'ario' 4\n24671 'aris' 4\n24672 'arks' 4\n24673 'arlo' 4\n24674 'arly' 4\n24675 'arma' 4\n24676 'arms' 4\n24677 'arna' 4\n24678 'aron' 4\n24679 'aroo' 4\n24680 'arra' 4\n24681 'arri' 4\n24682 'arro' 4\n24683 'arry' 4\n24684 'arse' 4\n24685 'arta' 4\n24686 'arte' 4\n24687 'arth' 4\n24688 'arti' 4\n24689 'arto' 4\n24690 'arts' 4\n24691 'arty' 4\n24692 'artz' 4\n24693 'arum' 4\n24694 'arus' 4\n24695 'arya' 4\n24696 'aryl' 4\n24697 'ará' 4\n24698 'aré' 4\n24699 'arı' 4\n24700 'asan' 4\n24701 'asar' 4\n24702 'asci' 4\n24703 'asco' 4\n24704 'ased' 4\n24705 'aser' 4\n24706 'ases' 4\n24707 'aset' 4\n24708 'asha' 4\n24709 'ashi' 4\n24710 'asia' 4\n24711 'asic' 4\n24712 'asin' 4\n24713 'asio' 4\n24714 'asis' 4\n24715 'aska' 4\n24716 'asks' 4\n24717 'asma' 4\n24718 'ason' 4\n24719 'aspx' 4\n24720 'assa' 4\n24721 'asse' 4\n24722 'assi' 4\n24723 'asso' 4\n24724 'assy' 4\n24725 'asta' 4\n24726 'aste' 4\n24727 'asti' 4\n24728 'asto' 4\n24729 'astr' 4\n24730 'asts' 4\n24731 'asty' 4\n24732 'asus' 4\n24733 'atal' 4\n24734 'atan' 4\n24735 'atar' 4\n24736 'atas' 4\n24737 'atch' 4\n24738 'ated' 4\n24739 'ateg' 4\n24740 'atel' 4\n24741 'atem' 4\n24742 'aten' 4\n24743 'ater' 4\n24744 'ates' 4\n24745 'atex' 4\n24746 'atha' 4\n24747 'athe' 4\n24748 'athi' 4\n24749 'aths' 4\n24750 'athy' 4\n24751 'atia' 4\n24752 'atic' 4\n24753 'atie' 4\n24754 'atif' 4\n24755 'atin' 4\n24756 'atio' 4\n24757 'atis' 4\n24758 'ativ' 4\n24759 'atol' 4\n24760 'atom' 4\n24761 'aton' 4\n24762 'ator' 4\n24763 'atos' 4\n24764 'atra' 4\n24765 'atre' 4\n24766 'atri' 4\n24767 'atro' 4\n24768 'atsu' 4\n24769 'atta' 4\n24770 'atte' 4\n24771 'atti' 4\n24772 'attn' 4\n24773 'atto' 4\n24774 'attr' 4\n24775 'atts' 4\n24776 'atum' 4\n24777 'atur' 4\n24778 'atus' 4\n24779 'ató' 4\n24780 'ată' 4\n24781 'auch' 4\n24782 'audi' 4\n24783 'auer' 4\n24784 'auff' 4\n24785 'auge' 4\n24786 'augh' 4\n24787 'ault' 4\n24788 'aupt' 4\n24789 'aura' 4\n24790 'ause' 4\n24791 'auss' 4\n24792 'auth' 4\n24793 'auto' 4\n24794 'aval' 4\n24795 'avan' 4\n24796 'avar' 4\n24797 'avas' 4\n24798 'aved' 4\n24799 'avel' 4\n24800 'aven' 4\n24801 'aver' 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'bern' 4\n24865 'bers' 4\n24866 'bert' 4\n24867 'bery' 4\n24868 'best' 4\n24869 'beta' 4\n24870 'beth' 4\n24871 'bial' 4\n24872 'bian' 4\n24873 'bias' 4\n24874 'bies' 4\n24875 'bigg' 4\n24876 'bike' 4\n24877 'bild' 4\n24878 'bill' 4\n24879 'bilt' 4\n24880 'bind' 4\n24881 'bing' 4\n24882 'bins' 4\n24883 'bios' 4\n24884 'bird' 4\n24885 'bish' 4\n24886 'bits' 4\n24887 'bió' 4\n24888 'blah' 4\n24889 'bled' 4\n24890 'blem' 4\n24891 'bler' 4\n24892 'bles' 4\n24893 'blic' 4\n24894 'blob' 4\n24895 'blog' 4\n24896 'blue' 4\n24897 'blur' 4\n24898 'boat' 4\n24899 'body' 4\n24900 'bold' 4\n24901 'bole' 4\n24902 'bolt' 4\n24903 'bomb' 4\n24904 'bond' 4\n24905 'bone' 4\n24906 'bons' 4\n24907 'book' 4\n24908 'bool' 4\n24909 'boot' 4\n24910 'borg' 4\n24911 'born' 4\n24912 'boro' 4\n24913 'bose' 4\n24914 'boss' 4\n24915 'both' 4\n24916 'bour' 4\n24917 'bove' 4\n24918 'bows' 4\n24919 'boys' 4\n24920 'bral' 4\n24921 'bran' 4\n24922 'bras' 4\n24923 'bred' 4\n24924 'brew' 4\n24925 'brid' 4\n24926 'bris' 4\n24927 'brit' 4\n24928 'bron' 4\n24929 'brow' 4\n24930 'buch' 4\n24931 'buck' 4\n24932 'buff' 4\n24933 'bugs' 4\n24934 'bulk' 4\n24935 'bull' 4\n24936 'bund' 4\n24937 'burg' 4\n24938 'burn' 4\n24939 'bury' 4\n24940 'busy' 4\n24941 'byte' 4\n24942 'ból' 4\n24943 'cade' 4\n24944 'cake' 4\n24945 'calc' 4\n24946 'cale' 4\n24947 'call' 4\n24948 'came' 4\n24949 'camp' 4\n24950 'cano' 4\n24951 'cant' 4\n24952 'cape' 4\n24953 'caps' 4\n24954 'capt' 4\n24955 'carb' 4\n24956 'card' 4\n24957 'care' 4\n24958 'cars' 4\n24959 'cart' 4\n24960 'case' 4\n24961 'cash' 4\n24962 'cast' 4\n24963 'cate' 4\n24964 'cats' 4\n24965 'cccc' 4\n24966 'cdot' 4\n24967 'cean' 4\n24968 'ceed' 4\n24969 'ceil' 4\n24970 'cele' 4\n24971 'cell' 4\n24972 'cent' 4\n24973 'cept' 4\n24974 'cern' 4\n24975 'cers' 4\n24976 'cert' 4\n24977 'cery' 4\n24978 'ceso' 4\n24979 'cess' 4\n24980 'chal' 4\n24981 'chan' 4\n24982 'chap' 4\n24983 'char' 4\n24984 'chas' 4\n24985 'chat' 4\n24986 'ched' 4\n24987 'chel' 4\n24988 'chem' 4\n24989 'chen' 4\n24990 'cher' 4\n24991 'ches' 4\n24992 'chet' 4\n24993 'chev' 4\n24994 'chez' 4\n24995 'chia' 4\n24996 'chie' 4\n24997 'chin' 4\n24998 'chio' 4\n24999 'chip' 4\n25000 'chor' 4\n25001 'chos' 4\n25002 'chte' 4\n25003 'chts' 4\n25004 'chus' 4\n25005 'ché' 4\n25006 'cial' 4\n25007 'cias' 4\n25008 'cido' 4\n25009 'cies' 4\n25010 'cing' 4\n25011 'cion' 4\n25012 'cipl' 4\n25013 'circ' 4\n25014 'cite' 4\n25015 'city' 4\n25016 'cium' 4\n25017 'ció' 4\n25018 'cker' 4\n25019 'cket' 4\n25020 'ckpt' 4\n25021 'clam' 4\n25022 'clar' 4\n25023 'clas' 4\n25024 'cler' 4\n25025 'cles' 4\n25026 'clic' 4\n25027 'clin' 4\n25028 'clip' 4\n25029 'clos' 4\n25030 'club' 4\n25031 'clud' 4\n25032 'clus' 4\n25033 'coal' 4\n25034 'coat' 4\n25035 'cock' 4\n25036 'code' 4\n25037 'coef' 4\n25038 'coin' 4\n25039 'cola' 4\n25040 'cold' 4\n25041 'cole' 4\n25042 'coli' 4\n25043 'coll' 4\n25044 'colm' 4\n25045 'colo' 4\n25046 'cols' 4\n25047 'coma' 4\n25048 'comb' 4\n25049 'come' 4\n25050 'comm' 4\n25051 'como' 4\n25052 'comp' 4\n25053 'conc' 4\n25054 'cond' 4\n25055 'cone' 4\n25056 'conf' 4\n25057 'cong' 4\n25058 'coni' 4\n25059 'conj' 4\n25060 'conn' 4\n25061 'cono' 4\n25062 'cons' 4\n25063 'cont' 4\n25064 'conv' 4\n25065 'cook' 4\n25066 'cool' 4\n25067 'cope' 4\n25068 'copy' 4\n25069 'cord' 4\n25070 'core' 4\n25071 'corn' 4\n25072 'corp' 4\n25073 'corr' 4\n25074 'cost' 4\n25075 'cott' 4\n25076 'cour' 4\n25077 'cout' 4\n25078 'cred' 4\n25079 'cret' 4\n25080 'crib' 4\n25081 'crit' 4\n25082 'cron' 4\n25083 'crop' 4\n25084 'crow' 4\n25085 'csrf' 4\n25086 'ctic' 4\n25087 'ctor' 4\n25088 'ctrl' 4\n25089 'cube' 4\n25090 'cuda' 4\n25091 'cule' 4\n25092 'culo' 4\n25093 'cult' 4\n25094 'curl' 4\n25095 'curr' 4\n25096 'cuts' 4\n25097 'cyan' 4\n25098 'cycl' 4\n25099 'ców' 4\n25100 'dade' 4\n25101 'dain' 4\n25102 'dale' 4\n25103 'damn' 4\n25104 'dark' 4\n25105 'dash' 4\n25106 'data' 4\n25107 'date' 4\n25108 'days' 4\n25109 'dddd' 4\n25110 'dden' 4\n25111 'dead' 4\n25112 'deal' 4\n25113 'deck' 4\n25114 'decl' 4\n25115 'deen' 4\n25116 'deep' 4\n25117 'demo' 4\n25118 'dens' 4\n25119 'dent' 4\n25120 'dept' 4\n25121 'dera' 4\n25122 'dere' 4\n25123 'dern' 4\n25124 'derr' 4\n25125 'ders' 4\n25126 'desc' 4\n25127 'desk' 4\n25128 'dess' 4\n25129 'dest' 4\n25130 'diag' 4\n25131 'dial' 4\n25132 'dian' 4\n25133 'dice' 4\n25134 'dict' 4\n25135 'dies' 4\n25136 'diff' 4\n25137 'digo' 4\n25138 'dims' 4\n25139 'ding' 4\n25140 'dire' 4\n25141 'disc' 4\n25142 'disk' 4\n25143 'disp' 4\n25144 'diss' 4\n25145 'dist' 4\n25146 'doch' 4\n25147 'dock' 4\n25148 'docs' 4\n25149 'does' 4\n25150 'dogs' 4\n25151 'done' 4\n25152 'dong' 4\n25153 'dont' 4\n25154 'door' 4\n25155 'dorf' 4\n25156 'dose' 4\n25157 'dots' 4\n25158 'down' 4\n25159 'drag' 4\n25160 'draw' 4\n25161 'drop' 4\n25162 'drug' 4\n25163 'dual' 4\n25164 'duce' 4\n25165 'duct' 4\n25166 'duit' 4\n25167 'dule' 4\n25168 'dump' 4\n25169 'dust' 4\n25170 'duty' 4\n25171 'each' 4\n25172 'ears' 4\n25173 'east' 4\n25174 'easy' 4\n25175 'ebra' 4\n25176 'ecal' 4\n25177 'eced' 4\n25178 'eces' 4\n25179 'echa' 4\n25180 'echo' 4\n25181 'ects' 4\n25182 'edad' 4\n25183 'edar' 4\n25184 'eday' 4\n25185 'eded' 4\n25186 'edef' 4\n25187 'eden' 4\n25188 'eder' 4\n25189 'edes' 4\n25190 'edge' 4\n25191 'edia' 4\n25192 'edic' 4\n25193 'edin' 4\n25194 'edit' 4\n25195 'edly' 4\n25196 'edom' 4\n25197 'edor' 4\n25198 'educ' 4\n25199 'eeee' 4\n25200 'eful' 4\n25201 'egal' 4\n25202 'egan' 4\n25203 'egen' 4\n25204 'eger' 4\n25205 'egin' 4\n25206 'eing' 4\n25207 'eken' 4\n25208 'eker' 4\n25209 'eled' 4\n25210 'elem' 4\n25211 'elen' 4\n25212 'eler' 4\n25213 'eles' 4\n25214 'elia' 4\n25215 'elic' 4\n25216 'elif' 4\n25217 'elig' 4\n25218 'elim' 4\n25219 'elin' 4\n25220 'ella' 4\n25221 'elle' 4\n25222 'elli' 4\n25223 'ello' 4\n25224 'ells' 4\n25225 'ellt' 4\n25226 'elly' 4\n25227 'elon' 4\n25228 'elor' 4\n25229 'else' 4\n25230 'elta' 4\n25231 'elve' 4\n25232 'eman' 4\n25233 'emas' 4\n25234 'emat' 4\n25235 'emed' 4\n25236 'emen' 4\n25237 'emer' 4\n25238 'emes' 4\n25239 'emet' 4\n25240 'emia' 4\n25241 'emic' 4\n25242 'emin' 4\n25243 'emis' 4\n25244 'emit' 4\n25245 'emon' 4\n25246 'emos' 4\n25247 'empl' 4\n25248 'empt' 4\n25249 'enas' 4\n25250 'ence' 4\n25251 'ench' 4\n25252 'enci' 4\n25253 'ency' 4\n25254 'enda' 4\n25255 'ende' 4\n25256 'endi' 4\n25257 'endl' 4\n25258 'endo' 4\n25259 'ends' 4\n25260 'ened' 4\n25261 'eneg' 4\n25262 'enem' 4\n25263 'enen' 4\n25264 'ener' 4\n25265 'enes' 4\n25266 'enet' 4\n25267 'enez' 4\n25268 'enge' 4\n25269 'engl' 4\n25270 'engo' 4\n25271 'engu' 4\n25272 'enia' 4\n25273 'enic' 4\n25274 'enig' 4\n25275 'enis' 4\n25276 'enix' 4\n25277 'enko' 4\n25278 'enna' 4\n25279 'enne' 4\n25280 'enny' 4\n25281 'enos' 4\n25282 'ensa' 4\n25283 'ense' 4\n25284 'enso' 4\n25285 'enta' 4\n25286 'ente' 4\n25287 'enth' 4\n25288 'enti' 4\n25289 'ento' 4\n25290 'entr' 4\n25291 'ents' 4\n25292 'enty' 4\n25293 'enum' 4\n25294 'enza' 4\n25295 'enç' 4\n25296 'ení' 4\n25297 'eous' 4\n25298 'epad' 4\n25299 'eper' 4\n25300 'eral' 4\n25301 'eras' 4\n25302 'erca' 4\n25303 'erce' 4\n25304 'erea' 4\n25305 'ered' 4\n25306 'eree' 4\n25307 'ereg' 4\n25308 'erek' 4\n25309 'eren' 4\n25310 'erer' 4\n25311 'eres' 4\n25312 'erez' 4\n25313 'erge' 4\n25314 'ergy' 4\n25315 'eria' 4\n25316 'eric' 4\n25317 'erie' 4\n25318 'ermo' 4\n25319 'erna' 4\n25320 'erne' 4\n25321 'erno' 4\n25322 'eron' 4\n25323 'eros' 4\n25324 'erra' 4\n25325 'erre' 4\n25326 'erro' 4\n25327 'erry' 4\n25328 'erta' 4\n25329 'erte' 4\n25330 'erto' 4\n25331 'erts' 4\n25332 'erty' 4\n25333 'erva' 4\n25334 'erve' 4\n25335 'esan' 4\n25336 'esar' 4\n25337 'esch' 4\n25338 'esen' 4\n25339 'eses' 4\n25340 'esis' 4\n25341 'eson' 4\n25342 'essa' 4\n25343 'esse' 4\n25344 'esso' 4\n25345 'esta' 4\n25346 'este' 4\n25347 'esti' 4\n25348 'esto' 4\n25349 'estr' 4\n25350 'ests' 4\n25351 'esty' 4\n25352 'etag' 4\n25353 'etal' 4\n25354 'etas' 4\n25355 'etch' 4\n25356 'eted' 4\n25357 'eten' 4\n25358 'eter' 4\n25359 'etes' 4\n25360 'ethe' 4\n25361 'etic' 4\n25362 'eton' 4\n25363 'etra' 4\n25364 'etro' 4\n25365 'etry' 4\n25366 'etta' 4\n25367 'ette' 4\n25368 'etti' 4\n25369 'etto' 4\n25370 'etur' 4\n25371 'etus' 4\n25372 'etzt' 4\n25373 'età' 4\n25374 'eurs' 4\n25375 'eval' 4\n25376 'even' 4\n25377 'ever' 4\n25378 'evil' 4\n25379 'evin' 4\n25380 'eway' 4\n25381 'exam' 4\n25382 'exec' 4\n25383 'exit' 4\n25384 'expl' 4\n25385 'expr' 4\n25386 'extr' 4\n25387 'eyed' 4\n25388 'eyer' 4\n25389 'face' 4\n25390 'fact' 4\n25391 'fade' 4\n25392 'fail' 4\n25393 'fair' 4\n25394 'fake' 4\n25395 'fall' 4\n25396 'fang' 4\n25397 'fant' 4\n25398 'fare' 4\n25399 'farm' 4\n25400 'fast' 4\n25401 'feas' 4\n25402 'feat' 4\n25403 'fect' 4\n25404 'feed' 4\n25405 'feel' 4\n25406 'feit' 4\n25407 'feld' 4\n25408 'felt' 4\n25409 'fern' 4\n25410 'fers' 4\n25411 'fert' 4\n25412 'fest' 4\n25413 'ffee' 4\n25414 'ffen' 4\n25415 'ffer' 4\n25416 'ffff' 4\n25417 'ffic' 4\n25418 'fica' 4\n25419 'fico' 4\n25420 'file' 4\n25421 'fill' 4\n25422 'film' 4\n25423 'find' 4\n25424 'fine' 4\n25425 'fire' 4\n25426 'firm' 4\n25427 'fish' 4\n25428 'fits' 4\n25429 'five' 4\n25430 'flag' 4\n25431 'flat' 4\n25432 'flex' 4\n25433 'flip' 4\n25434 'flix' 4\n25435 'flow' 4\n25436 'flux' 4\n25437 'foil' 4\n25438 'fois' 4\n25439 'fold' 4\n25440 'folk' 4\n25441 'fono' 4\n25442 'font' 4\n25443 'fony' 4\n25444 'food' 4\n25445 'foot' 4\n25446 'ford' 4\n25447 'fore' 4\n25448 'fork' 4\n25449 'form' 4\n25450 'fort' 4\n25451 'four' 4\n25452 'frac' 4\n25453 'frag' 4\n25454 'frak' 4\n25455 'fram' 4\n25456 'fred' 4\n25457 'free' 4\n25458 'freq' 4\n25459 'frey' 4\n25460 'from' 4\n25461 'ften' 4\n25462 'fter' 4\n25463 'fuel' 4\n25464 'full' 4\n25465 'func' 4\n25466 'fund' 4\n25467 'furt' 4\n25468 'fusc' 4\n25469 'fuse' 4\n25470 'fér' 4\n25471 'för' 4\n25472 'füg' 4\n25473 'füh' 4\n25474 'für' 4\n25475 'gado' 4\n25476 'gage' 4\n25477 'gain' 4\n25478 'game' 4\n25479 'gang' 4\n25480 'gard' 4\n25481 'gart' 4\n25482 'gary' 4\n25483 'gate' 4\n25484 'gear' 4\n25485 'geme' 4\n25486 'gems' 4\n25487 'gend' 4\n25488 'gene' 4\n25489 'gens' 4\n25490 'gent' 4\n25491 'geom' 4\n25492 'geon' 4\n25493 'gers' 4\n25494 'gery' 4\n25495 'gest' 4\n25496 'getX' 4\n25497 'gets' 4\n25498 'gett' 4\n25499 'gger' 4\n25500 'ggle' 4\n25501 'ghan' 4\n25502 'gian' 4\n25503 'gift' 4\n25504 'ging' 4\n25505 'gins' 4\n25506 'ginx' 4\n25507 'girl' 4\n25508 'gium' 4\n25509 'give' 4\n25510 'glob' 4\n25511 'glut' 4\n25512 'goal' 4\n25513 'gold' 4\n25514 'gone' 4\n25515 'good' 4\n25516 'goog' 4\n25517 'goto' 4\n25518 'gpio' 4\n25519 'grab' 4\n25520 'grad' 4\n25521 'gram' 4\n25522 'gran' 4\n25523 'grat' 4\n25524 'grav' 4\n25525 'gray' 4\n25526 'gree' 4\n25527 'greg' 4\n25528 'gren' 4\n25529 'grep' 4\n25530 'gres' 4\n25531 'grey' 4\n25532 'grid' 4\n25533 'grow' 4\n25534 'gré' 4\n25535 'gså' 4\n25536 'guid' 4\n25537 'guns' 4\n25538 'gypt' 4\n25539 'gzip' 4\n25540 'habi' 4\n25541 'hack' 4\n25542 'haft' 4\n25543 'hair' 4\n25544 'halb' 4\n25545 'half' 4\n25546 'hall' 4\n25547 'halt' 4\n25548 'hand' 4\n25549 'hang' 4\n25550 'hani' 4\n25551 'hape' 4\n25552 'happ' 4\n25553 'haps' 4\n25554 'hard' 4\n25555 'hare' 4\n25556 'harm' 4\n25557 'hart' 4\n25558 'hash' 4\n25559 'hatt' 4\n25560 'haul' 4\n25561 'haus' 4\n25562 'have' 4\n25563 'havi' 4\n25564 'hbar' 4\n25565 'hbox' 4\n25566 'head' 4\n25567 'heal' 4\n25568 'heap' 4\n25569 'heat' 4\n25570 'heck' 4\n25571 'heed' 4\n25572 'heel' 4\n25573 'heet' 4\n25574 'heid' 4\n25575 'heim' 4\n25576 'heit' 4\n25577 'held' 4\n25578 'helf' 4\n25579 'hell' 4\n25580 'helm' 4\n25581 'help' 4\n25582 'hend' 4\n25583 'hene' 4\n25584 'heng' 4\n25585 'hens' 4\n25586 'here' 4\n25587 'hern' 4\n25588 'hero' 4\n25589 'hers' 4\n25590 'hest' 4\n25591 'heur' 4\n25592 'hide' 4\n25593 'hift' 4\n25594 'high' 4\n25595 'hill' 4\n25596 'hind' 4\n25597 'hing' 4\n25598 'hint' 4\n25599 'hips' 4\n25600 'hire' 4\n25601 'hist' 4\n25602 'hive' 4\n25603 'hlen' 4\n25604 'hler' 4\n25605 'hoff' 4\n25606 'hold' 4\n25607 'hole' 4\n25608 'holm' 4\n25609 'home' 4\n25610 'hood' 4\n25611 'hook' 4\n25612 'hope' 4\n25613 'hora' 4\n25614 'horn' 4\n25615 'hors' 4\n25616 'hort' 4\n25617 'host' 4\n25618 'hots' 4\n25619 'hour' 4\n25620 'href' 4\n25621 'html' 4\n25622 'hton' 4\n25623 'http' 4\n25624 'hung' 4\n25625 'hydr' 4\n25626 'hyth' 4\n25627 'ház' 4\n25628 'hés' 4\n25629 'hör' 4\n25630 'iada' 4\n25631 'iage' 4\n25632 'iais' 4\n25633 'iale' 4\n25634 'ials' 4\n25635 'iami' 4\n25636 'iamo' 4\n25637 'iams' 4\n25638 'iana' 4\n25639 'iane' 4\n25640 'iang' 4\n25641 'iani' 4\n25642 'iano' 4\n25643 'ians' 4\n25644 'iant' 4\n25645 'iary' 4\n25646 'iasm' 4\n25647 'iate' 4\n25648 'iał' 4\n25649 'ibal' 4\n25650 'iban' 4\n25651 'ibel' 4\n25652 'iben' 4\n25653 'iber' 4\n25654 'ibia' 4\n25655 'ibil' 4\n25656 'ible' 4\n25657 'ibli' 4\n25658 'ibly' 4\n25659 'ibus' 4\n25660 'ical' 4\n25661 'ican' 4\n25662 'icar' 4\n25663 'icas' 4\n25664 'iced' 4\n25665 'icer' 4\n25666 'ices' 4\n25667 'icha' 4\n25668 'iche' 4\n25669 'ichi' 4\n25670 'icho' 4\n25671 'icht' 4\n25672 'icia' 4\n25673 'icio' 4\n25674 'icip' 4\n25675 'icit' 4\n25676 'icki' 4\n25677 'icks' 4\n25678 'icky' 4\n25679 'icle' 4\n25680 'icol' 4\n25681 'icon' 4\n25682 'icos' 4\n25683 'icro' 4\n25684 'icts' 4\n25685 'icul' 4\n25686 'icum' 4\n25687 'icus' 4\n25688 'icut' 4\n25689 'ică' 4\n25690 'idad' 4\n25691 'idae' 4\n25692 'idal' 4\n25693 'idan' 4\n25694 'idas' 4\n25695 'iday' 4\n25696 'iddy' 4\n25697 'idea' 4\n25698 'ided' 4\n25699 'idel' 4\n25700 'iden' 4\n25701 'ideo' 4\n25702 'ider' 4\n25703 'ides' 4\n25704 'idge' 4\n25705 'idia' 4\n25706 'idin' 4\n25707 'idis' 4\n25708 'idle' 4\n25709 'idor' 4\n25710 'idos' 4\n25711 'idth' 4\n25712 'idé' 4\n25713 'iece' 4\n25714 'iego' 4\n25715 'ield' 4\n25716 'iele' 4\n25717 'iels' 4\n25718 'iene' 4\n25719 'iens' 4\n25720 'ient' 4\n25721 'iera' 4\n25722 'iere' 4\n25723 'ieri' 4\n25724 'iero' 4\n25725 'iers' 4\n25726 'iert' 4\n25727 'iese' 4\n25728 'iest' 4\n25729 'iets' 4\n25730 'iety' 4\n25731 'ieur' 4\n25732 'ieux' 4\n25733 'ieve' 4\n25734 'ieß' 4\n25735 'ież' 4\n25736 'ifar' 4\n25737 'ifax' 4\n25738 'ifen' 4\n25739 'ifer' 4\n25740 'iffe' 4\n25741 'iffs' 4\n25742 'ific' 4\n25743 'ifie' 4\n25744 'ifik' 4\n25745 'ifle' 4\n25746 'ifth' 4\n25747 'ifts' 4\n25748 'ifty' 4\n25749 'iful' 4\n25750 'igan' 4\n25751 'igar' 4\n25752 'igen' 4\n25753 'iger' 4\n25754 'iges' 4\n25755 'ighb' 4\n25756 'ight' 4\n25757 'igin' 4\n25758 'igma' 4\n25759 'igne' 4\n25760 'igon' 4\n25761 'igor' 4\n25762 'igos' 4\n25763 'igua' 4\n25764 'igue' 4\n25765 'ihad' 4\n25766 'ikal' 4\n25767 'ikan' 4\n25768 'iked' 4\n25769 'ikel' 4\n25770 'iken' 4\n25771 'iker' 4\n25772 'ikes' 4\n25773 'ikit' 4\n25774 'ikon' 4\n25775 'ikov' 4\n25776 'ilar' 4\n25777 'ilda' 4\n25778 'ilde' 4\n25779 'iled' 4\n25780 'ilee' 4\n25781 'ilen' 4\n25782 'iler' 4\n25783 'iles' 4\n25784 'ilet' 4\n25785 'iley' 4\n25786 'ilia' 4\n25787 'ilib' 4\n25788 'ilic' 4\n25789 'ilin' 4\n25790 'ilio' 4\n25791 'ilis' 4\n25792 'ilit' 4\n25793 'illa' 4\n25794 'ille' 4\n25795 'illi' 4\n25796 'illo' 4\n25797 'ills' 4\n25798 'illy' 4\n25799 'iloc' 4\n25800 'ilog' 4\n25801 'ilon' 4\n25802 'ilor' 4\n25803 'ilos' 4\n25804 'ilot' 4\n25805 'ilst' 4\n25806 'ilty' 4\n25807 'ilus' 4\n25808 'ilyn' 4\n25809 'ilà' 4\n25810 'imag' 4\n25811 'imal' 4\n25812 'iman' 4\n25813 'imap' 4\n25814 'imar' 4\n25815 'imas' 4\n25816 'imat' 4\n25817 'imed' 4\n25818 'imen' 4\n25819 'imer' 4\n25820 'imes' 4\n25821 'imet' 4\n25822 'imin' 4\n25823 'imir' 4\n25824 'imit' 4\n25825 'imon' 4\n25826 'imos' 4\n25827 'impl' 4\n25828 'imum' 4\n25829 'imus' 4\n25830 'inae' 4\n25831 'inal' 4\n25832 'inar' 4\n25833 'inas' 4\n25834 'ince' 4\n25835 'inch' 4\n25836 'inci' 4\n25837 'incl' 4\n25838 'inct' 4\n25839 'inda' 4\n25840 'inde' 4\n25841 'indi' 4\n25842 'indo' 4\n25843 'inds' 4\n25844 'indu' 4\n25845 'indy' 4\n25846 'inea' 4\n25847 'ined' 4\n25848 'inee' 4\n25849 'inel' 4\n25850 'inem' 4\n25851 'inen' 4\n25852 'iner' 4\n25853 'ines' 4\n25854 'inet' 4\n25855 'inez' 4\n25856 'infl' 4\n25857 'info' 4\n25858 'inge' 4\n25859 'ingo' 4\n25860 'ings' 4\n25861 'ingt' 4\n25862 'ingu' 4\n25863 'inha' 4\n25864 'inho' 4\n25865 'inia' 4\n25866 'inic' 4\n25867 'inin' 4\n25868 'inis' 4\n25869 'init' 4\n25870 'iniz' 4\n25871 'inja' 4\n25872 'inka' 4\n25873 'inki' 4\n25874 'inks' 4\n25875 'inky' 4\n25876 'inoa' 4\n25877 'inos' 4\n25878 'inqu' 4\n25879 'insi' 4\n25880 'insk' 4\n25881 'insn' 4\n25882 'insp' 4\n25883 'inst' 4\n25884 'inta' 4\n25885 'inte' 4\n25886 'inth' 4\n25887 'into' 4\n25888 'intr' 4\n25889 'ints' 4\n25890 'inue' 4\n25891 'inus' 4\n25892 'inux' 4\n25893 'iné' 4\n25894 'iona' 4\n25895 'ione' 4\n25896 'ioni' 4\n25897 'ions' 4\n25898 'iors' 4\n25899 'ioso' 4\n25900 'iota' 4\n25901 'iour' 4\n25902 'ious' 4\n25903 'ipal' 4\n25904 'iped' 4\n25905 'ipeg' 4\n25906 'ipel' 4\n25907 'iper' 4\n25908 'ipes' 4\n25909 'iple' 4\n25910 'ippi' 4\n25911 'ippy' 4\n25912 'ipro' 4\n25913 'ipse' 4\n25914 'ique' 4\n25915 'iral' 4\n25916 'iran' 4\n25917 'iras' 4\n25918 'irds' 4\n25919 'ired' 4\n25920 'iren' 4\n25921 'ires' 4\n25922 'irez' 4\n25923 'irie' 4\n25924 'iris' 4\n25925 'irit' 4\n25926 'irms' 4\n25927 'iron' 4\n25928 'iros' 4\n25929 'irse' 4\n25930 'irst' 4\n25931 'irth' 4\n25932 'irts' 4\n25933 'irty' 4\n25934 'irus' 4\n25935 'irá' 4\n25936 'isan' 4\n25937 'isas' 4\n25938 'isch' 4\n25939 'isco' 4\n25940 'ised' 4\n25941 'isel' 4\n25942 'isen' 4\n25943 'iser' 4\n25944 'ises' 4\n25945 'iset' 4\n25946 'isha' 4\n25947 'ishi' 4\n25948 'isia' 4\n25949 'isin' 4\n25950 'isis' 4\n25951 'iska' 4\n25952 'iske' 4\n25953 'isko' 4\n25954 'isks' 4\n25955 'isle' 4\n25956 'isma' 4\n25957 'isme' 4\n25958 'ismo' 4\n25959 'isms' 4\n25960 'isol' 4\n25961 'ison' 4\n25962 'isor' 4\n25963 'issa' 4\n25964 'isse' 4\n25965 'issy' 4\n25966 'ista' 4\n25967 'iste' 4\n25968 'isti' 4\n25969 'isto' 4\n25970 'istr' 4\n25971 'ists' 4\n25972 'isty' 4\n25973 'isé' 4\n25974 'ital' 4\n25975 'itan' 4\n25976 'itar' 4\n25977 'itas' 4\n25978 'itat' 4\n25979 'itch' 4\n25980 'ited' 4\n25981 'itel' 4\n25982 'item' 4\n25983 'iten' 4\n25984 'iter' 4\n25985 'ites' 4\n25986 'itet' 4\n25987 'ithe' 4\n25988 'itia' 4\n25989 'itic' 4\n25990 'itin' 4\n25991 'itis' 4\n25992 'itle' 4\n25993 'itol' 4\n25994 'iton' 4\n25995 'itor' 4\n25996 'itos' 4\n25997 'itro' 4\n25998 'itsu' 4\n25999 'itta' 4\n26000 'itte' 4\n26001 'itti' 4\n26002 'itto' 4\n26003 'itty' 4\n26004 'itud' 4\n26005 'itus' 4\n26006 'ità' 4\n26007 'itä' 4\n26008 'ité' 4\n26009 'ită' 4\n26010 'ival' 4\n26011 'ivan' 4\n26012 'ivar' 4\n26013 'ivas' 4\n26014 'ived' 4\n26015 'ivel' 4\n26016 'iven' 4\n26017 'iver' 4\n26018 'ives' 4\n26019 'ivia' 4\n26020 'ivic' 4\n26021 'ivid' 4\n26022 'ivil' 4\n26023 'ivir' 4\n26024 'ivos' 4\n26025 'ivot' 4\n26026 'ixed' 4\n26027 'ixel' 4\n26028 'ixin' 4\n26029 'ixon' 4\n26030 'izar' 4\n26031 'ized' 4\n26032 'izen' 4\n26033 'izer' 4\n26034 'izes' 4\n26035 'izia' 4\n26036 'izin' 4\n26037 'izio' 4\n26038 'izon' 4\n26039 'izza' 4\n26040 'ião' 4\n26041 'iça' 4\n26042 'ién' 4\n26043 'ión' 4\n26044 'jack' 4\n26045 'jang' 4\n26046 'java' 4\n26047 'jdbc' 4\n26048 'ject' 4\n26049 'jest' 4\n26050 'jets' 4\n26051 'jian' 4\n26052 'jing' 4\n26053 'jira' 4\n26054 'jobs' 4\n26055 'john' 4\n26056 'join' 4\n26057 'jong' 4\n26058 'jour' 4\n26059 'jpeg' 4\n26060 'json' 4\n26061 'jump' 4\n26062 'jury' 4\n26063 'just' 4\n26064 'ják' 4\n26065 'ján' 4\n26066 'ját' 4\n26067 'jär' 4\n26068 'jön' 4\n26069 'jör' 4\n26070 'jąc' 4\n26071 'kań' 4\n26072 'keep' 4\n26073 'kees' 4\n26074 'kehr' 4\n26075 'keit' 4\n26076 'kern' 4\n26077 'kers' 4\n26078 'keys' 4\n26079 'kick' 4\n26080 'kids' 4\n26081 'kill' 4\n26082 'kind' 4\n26083 'king' 4\n26084 'kins' 4\n26085 'know' 4\n26086 'krit' 4\n26087 'ktop' 4\n26088 'ktor' 4\n26089 'któ' 4\n26090 'ków' 4\n26091 'lace' 4\n26092 'lage' 4\n26093 'laim' 4\n26094 'lain' 4\n26095 'lake' 4\n26096 'land' 4\n26097 'lane' 4\n26098 'lang' 4\n26099 'larg' 4\n26100 'lash' 4\n26101 'lass' 4\n26102 'last' 4\n26103 'late' 4\n26104 'laus' 4\n26105 'laws' 4\n26106 'lazy' 4\n26107 'ldap' 4\n26108 'lder' 4\n26109 'lead' 4\n26110 'leaf' 4\n26111 'lean' 4\n26112 'lear' 4\n26113 'leck' 4\n26114 'lect' 4\n26115 'leen' 4\n26116 'leep' 4\n26117 'leet' 4\n26118 'left' 4\n26119 'lege' 4\n26120 'lein' 4\n26121 'lems' 4\n26122 'lene' 4\n26123 'lens' 4\n26124 'leon' 4\n26125 'lers' 4\n26126 'lesh' 4\n26127 'less' 4\n26128 'lest' 4\n26129 'lete' 4\n26130 'lets' 4\n26131 'lett' 4\n26132 'leur' 4\n26133 'leys' 4\n26134 'libc' 4\n26135 'libs' 4\n26136 'lica' 4\n26137 'lice' 4\n26138 'lich' 4\n26139 'lick' 4\n26140 'lict' 4\n26141 'lied' 4\n26142 'lier' 4\n26143 'lies' 4\n26144 'life' 4\n26145 'lift' 4\n26146 'liga' 4\n26147 'ligt' 4\n26148 'like' 4\n26149 'lime' 4\n26150 'line' 4\n26151 'ling' 4\n26152 'link' 4\n26153 'lint' 4\n26154 'lion' 4\n26155 'liqu' 4\n26156 'lish' 4\n26157 'list' 4\n26158 'lite' 4\n26159 'live' 4\n26160 'ller' 4\n26161 'lles' 4\n26162 'llvm' 4\n26163 'load' 4\n26164 'loan' 4\n26165 'loat' 4\n26166 'lock' 4\n26167 'logo' 4\n26168 'logs' 4\n26169 'loid' 4\n26170 'long' 4\n26171 'lood' 4\n26172 'look' 4\n26173 'loop' 4\n26174 'loor' 4\n26175 'lord' 4\n26176 'lose' 4\n26177 'loss' 4\n26178 'lost' 4\n26179 'lots' 4\n26180 'love' 4\n26181 'loyd' 4\n26182 'luck' 4\n26183 'lund' 4\n26184 'lung' 4\n26185 'lymp' 4\n26186 'lyph' 4\n26187 'lán' 4\n26188 'lär' 4\n26189 'läu' 4\n26190 'lès' 4\n26191 'lés' 4\n26192 'lês' 4\n26193 'mach' 4\n26194 'made' 4\n26195 'mage' 4\n26196 'magn' 4\n26197 'maid' 4\n26198 'mail' 4\n26199 'main' 4\n26200 'make' 4\n26201 'male' 4\n26202 'mall' 4\n26203 'mana' 4\n26204 'mand' 4\n26205 'mani' 4\n26206 'mann' 4\n26207 'mans' 4\n26208 'mant' 4\n26209 'many' 4\n26210 'maps' 4\n26211 'mare' 4\n26212 'mark' 4\n26213 'mars' 4\n26214 'mart' 4\n26215 'mary' 4\n26216 'mask' 4\n26217 'mass' 4\n26218 'mast' 4\n26219 'mate' 4\n26220 'math' 4\n26221 'maze' 4\n26222 'mber' 4\n26223 'mbox' 4\n26224 'meal' 4\n26225 'mean' 4\n26226 'meas' 4\n26227 'medi' 4\n26228 'meet' 4\n26229 'mega' 4\n26230 'memb' 4\n26231 'memo' 4\n26232 'meno' 4\n26233 'mens' 4\n26234 'ment' 4\n26235 'menu' 4\n26236 'merc' 4\n26237 'mere' 4\n26238 'mers' 4\n26239 'mesh' 4\n26240 'mess' 4\n26241 'meta' 4\n26242 'meth' 4\n26243 'midi' 4\n26244 'midt' 4\n26245 'mile' 4\n26246 'mill' 4\n26247 'mime' 4\n26248 'mina' 4\n26249 'mind' 4\n26250 'mine' 4\n26251 'ming' 4\n26252 'mini' 4\n26253 'mino' 4\n26254 'mins' 4\n26255 'mint' 4\n26256 'misc' 4\n26257 'mise' 4\n26258 'miss' 4\n26259 'mist' 4\n26260 'mite' 4\n26261 'mith' 4\n26262 'mits' 4\n26263 'mitt' 4\n26264 'mium' 4\n26265 'mlin' 4\n26266 'mock' 4\n26267 'mode' 4\n26268 'moil' 4\n26269 'mond' 4\n26270 'mong' 4\n26271 'mono' 4\n26272 'mons' 4\n26273 'mont' 4\n26274 'mony' 4\n26275 'moon' 4\n26276 'more' 4\n26277 'mort' 4\n26278 'most' 4\n26279 'move' 4\n26280 'mpeg' 4\n26281 'msgs' 4\n26282 'much' 4\n26283 'mult' 4\n26284 'mund' 4\n26285 'must' 4\n26286 'mute' 4\n26287 'nail' 4\n26288 'nals' 4\n26289 'nama' 4\n26290 'name' 4\n26291 'nant' 4\n26292 'nbsp' 4\n26293 'ncia' 4\n26294 'ndef' 4\n26295 'nder' 4\n26296 'ndim' 4\n26297 'near' 4\n26298 'neau' 4\n26299 'neck' 4\n26300 'nect' 4\n26301 'need' 4\n26302 'nego' 4\n26303 'nell' 4\n26304 'nels' 4\n26305 'nerg' 4\n26306 'ners' 4\n26307 'ness' 4\n26308 'nest' 4\n26309 'nets' 4\n26310 'nett' 4\n26311 'neum' 4\n26312 'neur' 4\n26313 'neut' 4\n26314 'news' 4\n26315 'next' 4\n26316 'neys' 4\n26317 'nger' 4\n26318 'nice' 4\n26319 'nick' 4\n26320 'nier' 4\n26321 'nine' 4\n26322 'ning' 4\n26323 'nist' 4\n26324 'nię' 4\n26325 'node' 4\n26326 'nome' 4\n26327 'none' 4\n26328 'noon' 4\n26329 'noop' 4\n26330 'norm' 4\n26331 'nose' 4\n26332 'nost' 4\n26333 'note' 4\n26334 'noun' 4\n26335 'nova' 4\n26336 'nown' 4\n26337 'nsic' 4\n26338 'nten' 4\n26339 'nton' 4\n26340 'null' 4\n26341 'nung' 4\n26342 'nuts' 4\n26343 'née' 4\n26344 'nés' 4\n26345 'ník' 4\n26346 'ním' 4\n26347 'oard' 4\n26348 'obal' 4\n26349 'obar' 4\n26350 'obby' 4\n26351 'ober' 4\n26352 'obia' 4\n26353 'obic' 4\n26354 'obil' 4\n26355 'oble' 4\n26356 'obox' 4\n26357 'obra' 4\n26358 'obre' 4\n26359 'obuf' 4\n26360 'ocal' 4\n26361 'ocar' 4\n26362 'occo' 4\n26363 'oche' 4\n26364 'ocks' 4\n26365 'ocoa' 4\n26366 'ocol' 4\n26367 'ocom' 4\n26368 'ocon' 4\n26369 'ocre' 4\n26370 'ocus' 4\n26371 'ocê' 4\n26372 'odal' 4\n26373 'oday' 4\n26374 'oded' 4\n26375 'odel' 4\n26376 'odem' 4\n26377 'oden' 4\n26378 'oder' 4\n26379 'odes' 4\n26380 'odge' 4\n26381 'odia' 4\n26382 'odic' 4\n26383 'odom' 4\n26384 'odon' 4\n26385 'odor' 4\n26386 'odos' 4\n26387 'odot' 4\n26388 'odox' 4\n26389 'odus' 4\n26390 'offs' 4\n26391 'ogan' 4\n26392 'ogel' 4\n26393 'ogen' 4\n26394 'ogle' 4\n26395 'ogly' 4\n26396 'ogne' 4\n26397 'ogon' 4\n26398 'ogra' 4\n26399 'ogue' 4\n26400 'ohan' 4\n26401 'oids' 4\n26402 'oine' 4\n26403 'oint' 4\n26404 'oire' 4\n26405 'oise' 4\n26406 'oked' 4\n26407 'oken' 4\n26408 'oker' 4\n26409 'okes' 4\n26410 'okia' 4\n26411 'okie' 4\n26412 'okin' 4\n26413 'olan' 4\n26414 'olar' 4\n26415 'olas' 4\n26416 'olds' 4\n26417 'oled' 4\n26418 'olem' 4\n26419 'olen' 4\n26420 'oler' 4\n26421 'oles' 4\n26422 'oley' 4\n26423 'olia' 4\n26424 'olic' 4\n26425 'olid' 4\n26426 'olin' 4\n26427 'olip' 4\n26428 'olis' 4\n26429 'olit' 4\n26430 'olla' 4\n26431 'ollo' 4\n26432 'olly' 4\n26433 'olog' 4\n26434 'olon' 4\n26435 'olor' 4\n26436 'olph' 4\n26437 'olta' 4\n26438 'olve' 4\n26439 'omal' 4\n26440 'oman' 4\n26441 'omas' 4\n26442 'omat' 4\n26443 'ombo' 4\n26444 'omed' 4\n26445 'omen' 4\n26446 'omer' 4\n26447 'omes' 4\n26448 'omet' 4\n26449 'omez' 4\n26450 'omic' 4\n26451 'omin' 4\n26452 'omit' 4\n26453 'omon' 4\n26454 'onal' 4\n26455 'onas' 4\n26456 'once' 4\n26457 'onda' 4\n26458 'onde' 4\n26459 'ondo' 4\n26460 'onds' 4\n26461 'oned' 4\n26462 'onel' 4\n26463 'onen' 4\n26464 'oner' 4\n26465 'ones' 4\n26466 'onet' 4\n26467 'oney' 4\n26468 'onga' 4\n26469 'onge' 4\n26470 'ongo' 4\n26471 'ongs' 4\n26472 'onia' 4\n26473 'onic' 4\n26474 'onio' 4\n26475 'onis' 4\n26476 'only' 4\n26477 'onna' 4\n26478 'onne' 4\n26479 'onom' 4\n26480 'onse' 4\n26481 'onso' 4\n26482 'onte' 4\n26483 'onto' 4\n26484 'onym' 4\n26485 'ooks' 4\n26486 'ools' 4\n26487 'oons' 4\n26488 'oooo' 4\n26489 'oops' 4\n26490 'ooth' 4\n26491 'opal' 4\n26492 'oped' 4\n26493 'open' 4\n26494 'oper' 4\n26495 'opes' 4\n26496 'opez' 4\n26497 'ophe' 4\n26498 'ophy' 4\n26499 'opia' 4\n26500 'opic' 4\n26501 'opin' 4\n26502 'ople' 4\n26503 'opol' 4\n26504 'opor' 4\n26505 'opot' 4\n26506 'oppy' 4\n26507 'opro' 4\n26508 'opsy' 4\n26509 'opts' 4\n26510 'opus' 4\n26511 'oque' 4\n26512 'oral' 4\n26513 'oran' 4\n26514 'oras' 4\n26515 'orce' 4\n26516 'orch' 4\n26517 'orde' 4\n26518 'ordo' 4\n26519 'ords' 4\n26520 'orea' 4\n26521 'ored' 4\n26522 'orem' 4\n26523 'oren' 4\n26524 'orer' 4\n26525 'ores' 4\n26526 'oret' 4\n26527 'orge' 4\n26528 'oria' 4\n26529 'oric' 4\n26530 'orie' 4\n26531 'orig' 4\n26532 'orin' 4\n26533 'orio' 4\n26534 'oris' 4\n26535 'orks' 4\n26536 'orld' 4\n26537 'orna' 4\n26538 'orne' 4\n26539 'orno' 4\n26540 'orns' 4\n26541 'oron' 4\n26542 'orph' 4\n26543 'orro' 4\n26544 'orry' 4\n26545 'orse' 4\n26546 'orsi' 4\n26547 'orsk' 4\n26548 'orst' 4\n26549 'orta' 4\n26550 'orte' 4\n26551 'orth' 4\n26552 'orts' 4\n26553 'orum' 4\n26554 'orus' 4\n26555 'osal' 4\n26556 'osas' 4\n26557 'osed' 4\n26558 'osen' 4\n26559 'oser' 4\n26560 'oses' 4\n26561 'osex' 4\n26562 'oshi' 4\n26563 'osin' 4\n26564 'osis' 4\n26565 'osit' 4\n26566 'osos' 4\n26567 'osph' 4\n26568 'ossa' 4\n26569 'osse' 4\n26570 'osta' 4\n26571 'oste' 4\n26572 'osti' 4\n26573 'osto' 4\n26574 'otal' 4\n26575 'oted' 4\n26576 'oten' 4\n26577 'oter' 4\n26578 'otes' 4\n26579 'othe' 4\n26580 'otho' 4\n26581 'othy' 4\n26582 'otic' 4\n26583 'otin' 4\n26584 'otle' 4\n26585 'otom' 4\n26586 'oton' 4\n26587 'otor' 4\n26588 'otos' 4\n26589 'otta' 4\n26590 'otte' 4\n26591 'otti' 4\n26592 'otto' 4\n26593 'otyp' 4\n26594 'ouch' 4\n26595 'oufl' 4\n26596 'ough' 4\n26597 'ould' 4\n26598 'ound' 4\n26599 'ount' 4\n26600 'oupe' 4\n26601 'ourd' 4\n26602 'oure' 4\n26603 'ourg' 4\n26604 'ouri' 4\n26605 'ourn' 4\n26606 'ours' 4\n26607 'ourt' 4\n26608 'ouse' 4\n26609 'ouss' 4\n26610 'oust' 4\n26611 'oute' 4\n26612 'outh' 4\n26613 'outs' 4\n26614 'ouve' 4\n26615 'oval' 4\n26616 'ovan' 4\n26617 'oved' 4\n26618 'oven' 4\n26619 'over' 4\n26620 'oves' 4\n26621 'ovic' 4\n26622 'ovie' 4\n26623 'ová' 4\n26624 'ové' 4\n26625 'ový' 4\n26626 'ově' 4\n26627 'owan' 4\n26628 'owed' 4\n26629 'owel' 4\n26630 'ower' 4\n26631 'ową' 4\n26632 'oxel' 4\n26633 'oxic' 4\n26634 'oxid' 4\n26635 'oyal' 4\n26636 'oyer' 4\n26637 'oyle' 4\n26638 'pace' 4\n26639 'pack' 4\n26640 'page' 4\n26641 'paid' 4\n26642 'pain' 4\n26643 'pair' 4\n26644 'pand' 4\n26645 'para' 4\n26646 'pard' 4\n26647 'pare' 4\n26648 'park' 4\n26649 'pars' 4\n26650 'part' 4\n26651 'pass' 4\n26652 'past' 4\n26653 'path' 4\n26654 'pdev' 4\n26655 'peak' 4\n26656 'pear' 4\n26657 'peat' 4\n26658 'pect' 4\n26659 'peed' 4\n26660 'peek' 4\n26661 'peer' 4\n26662 'pell' 4\n26663 'pend' 4\n26664 'pent' 4\n26665 'perc' 4\n26666 'perf' 4\n26667 'peri' 4\n26668 'perl' 4\n26669 'perm' 4\n26670 'perp' 4\n26671 'pers' 4\n26672 'pert' 4\n26673 'phal' 4\n26674 'phan' 4\n26675 'phas' 4\n26676 'phen' 4\n26677 'pher' 4\n26678 'phia' 4\n26679 'phil' 4\n26680 'phin' 4\n26681 'phis' 4\n26682 'phon' 4\n26683 'phot' 4\n26684 'phys' 4\n26685 'pick' 4\n26686 'pies' 4\n26687 'pile' 4\n26688 'pine' 4\n26689 'ping' 4\n26690 'pink' 4\n26691 'pins' 4\n26692 'pipe' 4\n26693 'pire' 4\n26694 'pite' 4\n26695 'plan' 4\n26696 'plat' 4\n26697 'play' 4\n26698 'pled' 4\n26699 'pler' 4\n26700 'ples' 4\n26701 'plet' 4\n26702 'plex' 4\n26703 'plic' 4\n26704 'plit' 4\n26705 'plot' 4\n26706 'ploy' 4\n26707 'plug' 4\n26708 'plus' 4\n26709 'pmod' 4\n26710 'poke' 4\n26711 'pole' 4\n26712 'poll' 4\n26713 'poly' 4\n26714 'pond' 4\n26715 'pone' 4\n26716 'pong' 4\n26717 'pons' 4\n26718 'pool' 4\n26719 'poon' 4\n26720 'pora' 4\n26721 'port' 4\n26722 'pose' 4\n26723 'poss' 4\n26724 'post' 4\n26725 'pour' 4\n26726 'pped' 4\n26727 'ppen' 4\n26728 'pper' 4\n26729 'prec' 4\n26730 'pred' 4\n26731 'pref' 4\n26732 'prem' 4\n26733 'prep' 4\n26734 'pres' 4\n26735 'pret' 4\n26736 'prev' 4\n26737 'pril' 4\n26738 'prim' 4\n26739 'prit' 4\n26740 'priv' 4\n26741 'prob' 4\n26742 'proc' 4\n26743 'prod' 4\n26744 'prof' 4\n26745 'prog' 4\n26746 'proj' 4\n26747 'prom' 4\n26748 'pron' 4\n26749 'prop' 4\n26750 'prot' 4\n26751 'prov' 4\n26752 'prox' 4\n26753 'prus' 4\n26754 'prü' 4\n26755 'pson' 4\n26756 'ptic' 4\n26757 'pton' 4\n26758 'publ' 4\n26759 'pull' 4\n26760 'punk' 4\n26761 'pure' 4\n26762 'push' 4\n26763 'pute' 4\n26764 'qing' 4\n26765 'quad' 4\n26766 'qual' 4\n26767 'quan' 4\n26768 'quar' 4\n26769 'quat' 4\n26770 'quee' 4\n26771 'quel' 4\n26772 'quer' 4\n26773 'ques' 4\n26774 'quet' 4\n26775 'quez' 4\n26776 'quia' 4\n26777 'quin' 4\n26778 'quir' 4\n26779 'quis' 4\n26780 'quit' 4\n26781 'quiz' 4\n26782 'quot' 4\n26783 'qué' 4\n26784 'race' 4\n26785 'rack' 4\n26786 'ract' 4\n26787 'rada' 4\n26788 'rade' 4\n26789 'radi' 4\n26790 'rado' 4\n26791 'rael' 4\n26792 'raft' 4\n26793 'rage' 4\n26794 'raid' 4\n26795 'rail' 4\n26796 'rain' 4\n26797 'rais' 4\n26798 'rait' 4\n26799 'rale' 4\n26800 'rama' 4\n26801 'rame' 4\n26802 'rams' 4\n26803 'rand' 4\n26804 'rane' 4\n26805 'rang' 4\n26806 'rank' 4\n26807 'rano' 4\n26808 'rans' 4\n26809 'rant' 4\n26810 'raph' 4\n26811 'rare' 4\n26812 'rary' 4\n26813 'rase' 4\n26814 'rast' 4\n26815 'rate' 4\n26816 'rats' 4\n26817 'raud' 4\n26818 'rawl' 4\n26819 'rawn' 4\n26820 'rays' 4\n26821 'read' 4\n26822 'reak' 4\n26823 'real' 4\n26824 'ream' 4\n26825 'reas' 4\n26826 'reat' 4\n26827 'rece' 4\n26828 'reci' 4\n26829 'reck' 4\n26830 'rect' 4\n26831 'recv' 4\n26832 'rede' 4\n26833 'redi' 4\n26834 'redo' 4\n26835 'redu' 4\n26836 'reed' 4\n26837 'reek' 4\n26838 'reen' 4\n26839 'rees' 4\n26840 'reet' 4\n26841 'refs' 4\n26842 'regn' 4\n26843 'regs' 4\n26844 'reib' 4\n26845 'rein' 4\n26846 'rell' 4\n26847 'rels' 4\n26848 'relu' 4\n26849 'reme' 4\n26850 'rena' 4\n26851 'rend' 4\n26852 'rene' 4\n26853 'reno' 4\n26854 'rens' 4\n26855 'rent' 4\n26856 'reon' 4\n26857 'repo' 4\n26858 'repr' 4\n26859 'requ' 4\n26860 'rera' 4\n26861 'rero' 4\n26862 'resa' 4\n26863 'rese' 4\n26864 'resh' 4\n26865 'reso' 4\n26866 'resp' 4\n26867 'ress' 4\n26868 'rest' 4\n26869 'reta' 4\n26870 'rete' 4\n26871 'rets' 4\n26872 'rett' 4\n26873 'reve' 4\n26874 'rgba' 4\n26875 'riad' 4\n26876 'rial' 4\n26877 'rian' 4\n26878 'rias' 4\n26879 'rica' 4\n26880 'rice' 4\n26881 'rich' 4\n26882 'rick' 4\n26883 'rico' 4\n26884 'rics' 4\n26885 'rict' 4\n26886 'ride' 4\n26887 'ried' 4\n26888 'rief' 4\n26889 'riel' 4\n26890 'rien' 4\n26891 'rier' 4\n26892 'ries' 4\n26893 'riet' 4\n26894 'rift' 4\n26895 'rika' 4\n26896 'rike' 4\n26897 'rile' 4\n26898 'rimp' 4\n26899 'rina' 4\n26900 'rine' 4\n26901 'ring' 4\n26902 'rink' 4\n26903 'rint' 4\n26904 'rior' 4\n26905 'rios' 4\n26906 'riot' 4\n26907 'ripp' 4\n26908 'ript' 4\n26909 'rire' 4\n26910 'rise' 4\n26911 'rish' 4\n26912 'risk' 4\n26913 'rist' 4\n26914 'rite' 4\n26915 'rito' 4\n26916 'ritt' 4\n26917 'ritz' 4\n26918 'rium' 4\n26919 'rive' 4\n26920 'rió' 4\n26921 'road' 4\n26922 'robe' 4\n26923 'rock' 4\n26924 'rodu' 4\n26925 'roid' 4\n26926 'rois' 4\n26927 'roit' 4\n26928 'roke' 4\n26929 'role' 4\n26930 'roll' 4\n26931 'roma' 4\n26932 'rome' 4\n26933 'romy' 4\n26934 'rone' 4\n26935 'rong' 4\n26936 'rons' 4\n26937 'ront' 4\n26938 'room' 4\n26939 'root' 4\n26940 'roph' 4\n26941 'rops' 4\n26942 'ropy' 4\n26943 'rors' 4\n26944 'rose' 4\n26945 'ross' 4\n26946 'rost' 4\n26947 'rote' 4\n26948 'rots' 4\n26949 'rott' 4\n26950 'roup' 4\n26951 'rous' 4\n26952 'rout' 4\n26953 'rove' 4\n26954 'rown' 4\n26955 'rows' 4\n26956 'rror' 4\n26957 'ruby' 4\n26958 'ruce' 4\n26959 'ruck' 4\n26960 'ruct' 4\n26961 'ruit' 4\n26962 'rule' 4\n26963 'runs' 4\n26964 'rupt' 4\n26965 'rust' 4\n26966 'ryan' 4\n26967 'rypt' 4\n26968 'rás' 4\n26969 'rän' 4\n26970 'rès' 4\n26971 'rée' 4\n26972 'rés' 4\n26973 'rét' 4\n26974 'ría' 4\n26975 'ród' 4\n26976 'rón' 4\n26977 'safe' 4\n26978 'said' 4\n26979 'sale' 4\n26980 'salt' 4\n26981 'same' 4\n26982 'samp' 4\n26983 'sand' 4\n26984 'sans' 4\n26985 'save' 4\n26986 'scal' 4\n26987 'scan' 4\n26988 'scar' 4\n26989 'sche' 4\n26990 'scre' 4\n26991 'scri' 4\n26992 'seat' 4\n26993 'seau' 4\n26994 'sect' 4\n26995 'seed' 4\n26996 'seek' 4\n26997 'seen' 4\n26998 'sein' 4\n26999 'self' 4\n27000 'sell' 4\n27001 'semb' 4\n27002 'semi' 4\n27003 'send' 4\n27004 'sens' 4\n27005 'sent' 4\n27006 'sequ' 4\n27007 'sers' 4\n27008 'sert' 4\n27009 'serv' 4\n27010 'sess' 4\n27011 'sets' 4\n27012 'sett' 4\n27013 'seud' 4\n27014 'shal' 4\n27015 'shan' 4\n27016 'shaw' 4\n27017 'ship' 4\n27018 'shit' 4\n27019 'shop' 4\n27020 'shot' 4\n27021 'show' 4\n27022 'shut' 4\n27023 'side' 4\n27024 'sign' 4\n27025 'sime' 4\n27026 'simp' 4\n27027 'sing' 4\n27028 'sink' 4\n27029 'site' 4\n27030 'size' 4\n27031 'skin' 4\n27032 'skip' 4\n27033 'ská' 4\n27034 'ské' 4\n27035 'ský' 4\n27036 'ską' 4\n27037 'slot' 4\n27038 'slow' 4\n27039 'slug' 4\n27040 'smtp' 4\n27041 'snap' 4\n27042 'snow' 4\n27043 'soap' 4\n27044 'sock' 4\n27045 'soft' 4\n27046 'sold' 4\n27047 'sole' 4\n27048 'some' 4\n27049 'song' 4\n27050 'sono' 4\n27051 'soon' 4\n27052 'sort' 4\n27053 'soup' 4\n27054 'spam' 4\n27055 'span' 4\n27056 'spar' 4\n27057 'spec' 4\n27058 'spin' 4\n27059 'spir' 4\n27060 'spot' 4\n27061 'sqrt' 4\n27062 'sson' 4\n27063 'stab' 4\n27064 'stad' 4\n27065 'stag' 4\n27066 'stal' 4\n27067 'stan' 4\n27068 'star' 4\n27069 'stat' 4\n27070 'stay' 4\n27071 'sted' 4\n27072 'stem' 4\n27073 'sten' 4\n27074 'step' 4\n27075 'ster' 4\n27076 'stic' 4\n27077 'stim' 4\n27078 'stit' 4\n27079 'stmt' 4\n27080 'ston' 4\n27081 'stop' 4\n27082 'stor' 4\n27083 'stra' 4\n27084 'stre' 4\n27085 'stri' 4\n27086 'stro' 4\n27087 'stru' 4\n27088 'stry' 4\n27089 'stub' 4\n27090 'stud' 4\n27091 'stä' 4\n27092 'stå' 4\n27093 'subs' 4\n27094 'succ' 4\n27095 'such' 4\n27096 'sudo' 4\n27097 'suit' 4\n27098 'summ' 4\n27099 'supp' 4\n27100 'sure' 4\n27101 'surf' 4\n27102 'swap' 4\n27103 'swer' 4\n27104 'sync' 4\n27105 'ség' 4\n27106 'tabs' 4\n27107 'tage' 4\n27108 'tags' 4\n27109 'tail' 4\n27110 'tain' 4\n27111 'tait' 4\n27112 'take' 4\n27113 'talk' 4\n27114 'tang' 4\n27115 'tanh' 4\n27116 'tank' 4\n27117 'task' 4\n27118 'tawa' 4\n27119 'tał' 4\n27120 'team' 4\n27121 'tech' 4\n27122 'teen' 4\n27123 'tegr' 4\n27124 'teil' 4\n27125 'tein' 4\n27126 'tele' 4\n27127 'tell' 4\n27128 'temp' 4\n27129 'tent' 4\n27130 'tera' 4\n27131 'tere' 4\n27132 'term' 4\n27133 'tern' 4\n27134 'tero' 4\n27135 'ters' 4\n27136 'tery' 4\n27137 'test' 4\n27138 'tesy' 4\n27139 'text' 4\n27140 'thal' 4\n27141 'than' 4\n27142 'that' 4\n27143 'thel' 4\n27144 'them' 4\n27145 'then' 4\n27146 'ther' 4\n27147 'thes' 4\n27148 'they' 4\n27149 'thin' 4\n27150 'this' 4\n27151 'thon' 4\n27152 'thor' 4\n27153 'thro' 4\n27154 'thur' 4\n27155 'thus' 4\n27156 'tica' 4\n27157 'tick' 4\n27158 'tico' 4\n27159 'tics' 4\n27160 'tier' 4\n27161 'ties' 4\n27162 'tiff' 4\n27163 'tikz' 4\n27164 'tile' 4\n27165 'time' 4\n27166 'ting' 4\n27167 'tiny' 4\n27168 'tion' 4\n27169 'tipo' 4\n27170 'tips' 4\n27171 'toBe' 4\n27172 'todo' 4\n27173 'tone' 4\n27174 'tons' 4\n27175 'took' 4\n27176 'tool' 4\n27177 'toon' 4\n27178 'tour' 4\n27179 'tout' 4\n27180 'town' 4\n27181 'trac' 4\n27182 'trad' 4\n27183 'trak' 4\n27184 'tran' 4\n27185 'trap' 4\n27186 'tras' 4\n27187 'tree' 4\n27188 'tres' 4\n27189 'trib' 4\n27190 'trie' 4\n27191 'trig' 4\n27192 'trim' 4\n27193 'trip' 4\n27194 'tron' 4\n27195 'true' 4\n27196 'ttes' 4\n27197 'tube' 4\n27198 'ture' 4\n27199 'turn' 4\n27200 'type' 4\n27201 'uala' 4\n27202 'uali' 4\n27203 'uant' 4\n27204 'uart' 4\n27205 'uary' 4\n27206 'uate' 4\n27207 'ubar' 4\n27208 'uben' 4\n27209 'uber' 4\n27210 'ubes' 4\n27211 'ubic' 4\n27212 'uble' 4\n27213 'ubre' 4\n27214 'ucci' 4\n27215 'uced' 4\n27216 'ucer' 4\n27217 'uces' 4\n27218 'ucha' 4\n27219 'uche' 4\n27220 'uchi' 4\n27221 'uchs' 4\n27222 'ucht' 4\n27223 'ucid' 4\n27224 'ucks' 4\n27225 'ucky' 4\n27226 'ucle' 4\n27227 'udad' 4\n27228 'uded' 4\n27229 'uden' 4\n27230 'uder' 4\n27231 'udes' 4\n27232 'udge' 4\n27233 'udio' 4\n27234 'udos' 4\n27235 'uego' 4\n27236 'ueil' 4\n27237 'uela' 4\n27238 'uels' 4\n27239 'uent' 4\n27240 'uers' 4\n27241 'uese' 4\n27242 'uest' 4\n27243 'ueur' 4\n27244 'ufen' 4\n27245 'uffs' 4\n27246 'uffy' 4\n27247 'ugal' 4\n27248 'ugar' 4\n27249 'ugby' 4\n27250 'ugen' 4\n27251 'ught' 4\n27252 'ugin' 4\n27253 'uild' 4\n27254 'uilt' 4\n27255 'uing' 4\n27256 'uins' 4\n27257 'uint' 4\n27258 'uish' 4\n27259 'uite' 4\n27260 'uits' 4\n27261 'uity' 4\n27262 'ují' 4\n27263 'ują' 4\n27264 'ukes' 4\n27265 'ular' 4\n27266 'ulas' 4\n27267 'uled' 4\n27268 'ulen' 4\n27269 'uler' 4\n27270 'ules' 4\n27271 'ulet' 4\n27272 'ulia' 4\n27273 'ulin' 4\n27274 'ulis' 4\n27275 'ulla' 4\n27276 'ulle' 4\n27277 'ulli' 4\n27278 'ulls' 4\n27279 'ully' 4\n27280 'ulos' 4\n27281 'ulpt' 4\n27282 'ulse' 4\n27283 'ulti' 4\n27284 'ults' 4\n27285 'ulty' 4\n27286 'ultz' 4\n27287 'ului' 4\n27288 'ulum' 4\n27289 'ulus' 4\n27290 'umab' 4\n27291 'uman' 4\n27292 'umar' 4\n27293 'umas' 4\n27294 'umat' 4\n27295 'umbn' 4\n27296 'umbo' 4\n27297 'umbs' 4\n27298 'umed' 4\n27299 'umen' 4\n27300 'umer' 4\n27301 'umes' 4\n27302 'umin' 4\n27303 'ummy' 4\n27304 'umni' 4\n27305 'umor' 4\n27306 'umph' 4\n27307 'umps' 4\n27308 'umpy' 4\n27309 'unal' 4\n27310 'unar' 4\n27311 'unas' 4\n27312 'unce' 4\n27313 'unch' 4\n27314 'unci' 4\n27315 'unct' 4\n27316 'unda' 4\n27317 'unde' 4\n27318 'undo' 4\n27319 'unds' 4\n27320 'undy' 4\n27321 'uned' 4\n27322 'uner' 4\n27323 'unes' 4\n27324 'unge' 4\n27325 'ungs' 4\n27326 'unic' 4\n27327 'unik' 4\n27328 'uniq' 4\n27329 'unit' 4\n27330 'unix' 4\n27331 'unks' 4\n27332 'unkt' 4\n27333 'unos' 4\n27334 'unta' 4\n27335 'unte' 4\n27336 'unto' 4\n27337 'unts' 4\n27338 'untu' 4\n27339 'unya' 4\n27340 'uous' 4\n27341 'upal' 4\n27342 'uper' 4\n27343 'upid' 4\n27344 'uple' 4\n27345 'upon' 4\n27346 'urai' 4\n27347 'ural' 4\n27348 'uran' 4\n27349 'uras' 4\n27350 'urch' 4\n27351 'urdy' 4\n27352 'ured' 4\n27353 'uren' 4\n27354 'urer' 4\n27355 'ures' 4\n27356 'uria' 4\n27357 'uris' 4\n27358 'urls' 4\n27359 'uron' 4\n27360 'urop' 4\n27361 'urre' 4\n27362 'urry' 4\n27363 'urse' 4\n27364 'urst' 4\n27365 'urus' 4\n27366 'usal' 4\n27367 'usat' 4\n27368 'usch' 4\n27369 'used' 4\n27370 'user' 4\n27371 'uses' 4\n27372 'uset' 4\n27373 'ushi' 4\n27374 'usic' 4\n27375 'ussy' 4\n27376 'usta' 4\n27377 'usto' 4\n27378 'ustr' 4\n27379 'utan' 4\n27380 'utar' 4\n27381 'utch' 4\n27382 'uted' 4\n27383 'uten' 4\n27384 'uter' 4\n27385 'utes' 4\n27386 'util' 4\n27387 'utor' 4\n27388 'utos' 4\n27389 'utra' 4\n27390 'utta' 4\n27391 'utto' 4\n27392 'uuid' 4\n27393 'uvre' 4\n27394 'uzzi' 4\n27395 'uzzy' 4\n27396 'ués' 4\n27397 'vais' 4\n27398 'vale' 4\n27399 'vals' 4\n27400 'valu' 4\n27401 'vana' 4\n27402 'vant' 4\n27403 'vard' 4\n27404 'vare' 4\n27405 'vari' 4\n27406 'vars' 4\n27407 'vecs' 4\n27408 'vect' 4\n27409 'veis' 4\n27410 'vell' 4\n27411 'velt' 4\n27412 'vely' 4\n27413 'vens' 4\n27414 'vent' 4\n27415 'verb' 4\n27416 'vere' 4\n27417 'vern' 4\n27418 'vers' 4\n27419 'vert' 4\n27420 'very' 4\n27421 'vest' 4\n27422 'vice' 4\n27423 'vict' 4\n27424 'vide' 4\n27425 'vier' 4\n27426 'view' 4\n27427 'vill' 4\n27428 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'zeta' 4\n27554 'zeug' 4\n27555 'zeń' 4\n27556 'ześ' 4\n27557 'zhen' 4\n27558 'zhou' 4\n27559 'zial' 4\n27560 'ziel' 4\n27561 'zier' 4\n27562 'zing' 4\n27563 'ził' 4\n27564 'zone' 4\n27565 'zoom' 4\n27566 'zung' 4\n27567 'zyme' 4\n27568 'zyć' 4\n27569 'zyż' 4\n27570 'zzle' 4\n27571 'zés' 4\n27572 'zös' 4\n27573 'ząd' 4\n27574 'ząt' 4\n27575 '}}</' 4\n27576 '}}^{' 4\n27577 '}}_{' 4\n27578 '}}{\\\\' 4\n27579 '~~~~' 4\n27580 '\\xa0\\xa0' 4\n27581 '²).' 4\n27582 '··' 4\n27583 '»).' 4\n27584 'ÃÂ' 4\n27585 'ßen' 4\n27586 'ßer' 4\n27587 'àng' 4\n27588 'ành' 4\n27589 'ách' 4\n27590 'áct' 4\n27591 'ája' 4\n27592 'ále' 4\n27593 'áll' 4\n27594 'ált' 4\n27595 'ály' 4\n27596 'ánd' 4\n27597 'áng' 4\n27598 'ánh' 4\n27599 'ánt' 4\n27600 'ány' 4\n27601 'ára' 4\n27602 'ári' 4\n27603 'árs' 4\n27604 'árt' 4\n27605 'ása' 4\n27606 'ási' 4\n27607 'áss' 4\n27608 'ást' 4\n27609 'ász' 4\n27610 'ář' 4\n27611 'áš' 4\n27612 'âce' 4\n27613 'âge' 4\n27614 'ând' 4\n27615 'ânt' 4\n27616 'âte' 4\n27617 'ãos' 4\n27618 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4\n27821 'ολ' 4\n27822 'ον' 4\n27823 'ος' 4\n27824 'ου' 4\n27825 'ού' 4\n27826 'πι' 4\n27827 'πο' 4\n27828 'πό' 4\n27829 'ρά' 4\n27830 'ρί' 4\n27831 'ρα' 4\n27832 'ρι' 4\n27833 'ρο' 4\n27834 'ρό' 4\n27835 'ση' 4\n27836 'σι' 4\n27837 'στ' 4\n27838 'τά' 4\n27839 'τα' 4\n27840 'τε' 4\n27841 'τη' 4\n27842 'τι' 4\n27843 'το' 4\n27844 'ων' 4\n27845 'ών' 4\n27846 'АН' 4\n27847 'Ар' 4\n27848 'Во' 4\n27849 'Вы' 4\n27850 'За' 4\n27851 'Ка' 4\n27852 'Ко' 4\n27853 'Ма' 4\n27854 'На' 4\n27855 'От' 4\n27856 'Пе' 4\n27857 'По' 4\n27858 'Пр' 4\n27859 'СР' 4\n27860 'Са' 4\n27861 'ША' 4\n27862 'аб' 4\n27863 'ав' 4\n27864 'аг' 4\n27865 'ад' 4\n27866 'аж' 4\n27867 'аз' 4\n27868 'ай' 4\n27869 'ак' 4\n27870 'ал' 4\n27871 'ам' 4\n27872 'ан' 4\n27873 'ап' 4\n27874 'ар' 4\n27875 'ас' 4\n27876 'ат' 4\n27877 'ах' 4\n27878 'ач' 4\n27879 'аш' 4\n27880 'аю' 4\n27881 'ая' 4\n27882 'ба' 4\n27883 'бе' 4\n27884 'би' 4\n27885 'бо' 4\n27886 'бу' 4\n27887 'бы' 4\n27888 'бю' 4\n27889 'бя' 4\n27890 'бі' 4\n27891 'ва' 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4\n27963 'ис' 4\n27964 'ит' 4\n27965 'иф' 4\n27966 'их' 4\n27967 'ич' 4\n27968 'ия' 4\n27969 'йм' 4\n27970 'йн' 4\n27971 'йт' 4\n27972 'ка' 4\n27973 'ке' 4\n27974 'ки' 4\n27975 'ко' 4\n27976 'кс' 4\n27977 'кт' 4\n27978 'ку' 4\n27979 'кі' 4\n27980 'ла' 4\n27981 'ле' 4\n27982 'ли' 4\n27983 'лл' 4\n27984 'лм' 4\n27985 'лн' 4\n27986 'ло' 4\n27987 'лу' 4\n27988 'лы' 4\n27989 'ль' 4\n27990 'лю' 4\n27991 'ля' 4\n27992 'лё' 4\n27993 'лі' 4\n27994 'ма' 4\n27995 'мб' 4\n27996 'ме' 4\n27997 'ми' 4\n27998 'мо' 4\n27999 'мп' 4\n28000 'му' 4\n28001 'мы' 4\n28002 'мя' 4\n28003 'мі' 4\n28004 'на' 4\n28005 'нг' 4\n28006 'нд' 4\n28007 'не' 4\n28008 'ни' 4\n28009 'но' 4\n28010 'ну' 4\n28011 'ны' 4\n28012 'нь' 4\n28013 'ню' 4\n28014 'ня' 4\n28015 'ні' 4\n28016 'об' 4\n28017 'ов' 4\n28018 'ог' 4\n28019 'од' 4\n28020 'ое' 4\n28021 'ож' 4\n28022 'оз' 4\n28023 'ой' 4\n28024 'ок' 4\n28025 'ол' 4\n28026 'ом' 4\n28027 'он' 4\n28028 'оп' 4\n28029 'ор' 4\n28030 'ос' 4\n28031 'от' 4\n28032 'оч' 4\n28033 'ош' 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4\n28105 'ху' 4\n28106 'хі' 4\n28107 'ца' 4\n28108 'це' 4\n28109 'ци' 4\n28110 'цо' 4\n28111 'цу' 4\n28112 'цы' 4\n28113 'ць' 4\n28114 'цю' 4\n28115 'ця' 4\n28116 'ці' 4\n28117 'ча' 4\n28118 'че' 4\n28119 'чи' 4\n28120 'чо' 4\n28121 'чу' 4\n28122 'чь' 4\n28123 'чё' 4\n28124 'чі' 4\n28125 'ша' 4\n28126 'ше' 4\n28127 'ши' 4\n28128 'шо' 4\n28129 'шп' 4\n28130 'шу' 4\n28131 'шь' 4\n28132 'ші' 4\n28133 'ща' 4\n28134 'ще' 4\n28135 'щи' 4\n28136 'що' 4\n28137 'щу' 4\n28138 'щё' 4\n28139 'щі' 4\n28140 'ъл' 4\n28141 'ън' 4\n28142 'ър' 4\n28143 'ът' 4\n28144 'ые' 4\n28145 'ый' 4\n28146 'ым' 4\n28147 'ых' 4\n28148 'ье' 4\n28149 'ью' 4\n28150 'ья' 4\n28151 'эй' 4\n28152 'эн' 4\n28153 'юз' 4\n28154 'юр' 4\n28155 'ют' 4\n28156 'яв' 4\n28157 'яз' 4\n28158 'ян' 4\n28159 'ят' 4\n28160 'ях' 4\n28161 'ёл' 4\n28162 'ём' 4\n28163 'ён' 4\n28164 'ёр' 4\n28165 'ёт' 4\n28166 'ђе' 4\n28167 'ђу' 4\n28168 'єм' 4\n28169 'єю' 4\n28170 'іб' 4\n28171 'ів' 4\n28172 'ід' 4\n28173 'ій' 4\n28174 'ін' 4\n28175 'ір' 4\n28176 'іс' 4\n28177 'ія' 4\n28178 'ії' 4\n28179 'їв' 4\n28180 'ја' 4\n28181 'је' 4\n28182 'ји' 4\n28183 'ју' 4\n28184 'ља' 4\n28185 'ље' 4\n28186 'љи' 4\n28187 'љу' 4\n28188 'ња' 4\n28189 'ње' 4\n28190 'њи' 4\n28191 'њу' 4\n28192 'ћа' 4\n28193 'ће' 4\n28194 'ћи' 4\n28195 'ור' 4\n28196 'ות' 4\n28197 'ים' 4\n28198 'ית' 4\n28199 'اء' 4\n28200 'ائ' 4\n28201 'اب' 4\n28202 'ات' 4\n28203 'اح' 4\n28204 'اد' 4\n28205 'ار' 4\n28206 'از' 4\n28207 'اس' 4\n28208 'اش' 4\n28209 'اع' 4\n28210 'اف' 4\n28211 'ال' 4\n28212 'ام' 4\n28213 'ان' 4\n28214 'اه' 4\n28215 'ای' 4\n28216 'بر' 4\n28217 'تر' 4\n28218 'دم' 4\n28219 'ده' 4\n28220 'دي' 4\n28221 'رب' 4\n28222 'رد' 4\n28223 'رك' 4\n28224 'رو' 4\n28225 'ري' 4\n28226 'ست' 4\n28227 'ــ' 4\n28228 'لا' 4\n28229 'لى' 4\n28230 'مل' 4\n28231 'نا' 4\n28232 'ند' 4\n28233 'نظ' 4\n28234 'ها' 4\n28235 'ود' 4\n28236 'ور' 4\n28237 'ول' 4\n28238 'وم' 4\n28239 'ون' 4\n28240 'ية' 4\n28241 'يد' 4\n28242 'ير' 4\n28243 'يف' 4\n28244 'يل' 4\n28245 'ين' 4\n28246 'يو' 4\n28247 'ید' 4\n28248 'یر' 4\n28249 'ین' 4\n28250 'ại' 4\n28251 'ạn' 4\n28252 'ạo' 4\n28253 'ạt' 4\n28254 'ải' 4\n28255 'ản' 4\n28256 'ảo' 4\n28257 'ấn' 4\n28258 'ấp' 4\n28259 'ất' 4\n28260 'ấy' 4\n28261 'ần' 4\n28262 'ầu' 4\n28263 'ẩm' 4\n28264 'ẩu' 4\n28265 'ẫn' 4\n28266 'ận' 4\n28267 'ập' 4\n28268 'ật' 4\n28269 'ắc' 4\n28270 'ắt' 4\n28271 'ặc' 4\n28272 'ặt' 4\n28273 'ến' 4\n28274 'ết' 4\n28275 'ếu' 4\n28276 'ền' 4\n28277 'ều' 4\n28278 'ểm' 4\n28279 'ển' 4\n28280 'ện' 4\n28281 'ệt' 4\n28282 'ệu' 4\n28283 'ọc' 4\n28284 'ọn' 4\n28285 'ốc' 4\n28286 'ối' 4\n28287 'ồi' 4\n28288 'ổi' 4\n28289 'ỗi' 4\n28290 'ộc' 4\n28291 'ội' 4\n28292 'ột' 4\n28293 'ới' 4\n28294 'ời' 4\n28295 'ợp' 4\n28296 'ục' 4\n28297 'ủa' 4\n28298 'ức' 4\n28299 'ửa' 4\n28300 'ực' 4\n28301 '—\"' 4\n28302 '’)' 4\n28303 '’,' 4\n28304 '’.' 4\n28305 '’:' 4\n28306 '’a' 4\n28307 '’d' 4\n28308 '’m' 4\n28309 '’s' 4\n28310 '’t' 4\n28311 '’y' 4\n28312 '“(' 4\n28313 '“)' 4\n28314 '“,' 4\n28315 '“.' 4\n28316 '“A' 4\n28317 '“I' 4\n28318 '”)' 4\n28319 '”,' 4\n28320 '”.' 4\n28321 '”:' 4\n28322 '”;' 4\n28323 '”?' 4\n28324 '…\\n' 4\n28325 '…)' 4\n28326 '….' 4\n28327 '…]' 4\n28328 '′-' 4\n28329 '。\\n' 4\n28330 '。(' 4\n28331 '，\\n' 4\n28332 '：\"' 4\n28333 '👍' 4\n28334 '🔥' 4\n28335 '😂' 4\n28336 '😊' 4\n28337 '😍' 4\n28338 '😘' 4\n28339 '😭' 4\n28340 '🙏' 4\n28341 '🤣' 4\n28342 '🥰' 4\n28343 '🥺' 4\n28344 '\\t\\t\\t\\t\\t' 5\n28345 '\\n\\t\\t\\t\\t' 5\n28346 '\\n\\t\\t\\n\\t' 5\n28347 '\\n\\t   ' 5\n28348 '\\n\\n\\t\\t\\t' 5\n28349 '\\n\\n\\n\\n\\n' 5\n28350 '\\n\\n   ' 5\n28351 '\\n  \\n ' 5\n28352 '\\n    ' 5\n28353 '\\r\\n\\t\\t\\t' 5\n28354 '\\r\\n\\r\\n\\t' 5\n28355 '\\r\\n\\r\\n ' 5\n28356 '\\r\\n   ' 5\n28357 ' \\n   ' 5\n28358 '    \\t' 5\n28359 '    \\n' 5\n28360 '     ' 5\n28361 ' \"...' 5\n28362 ' \"../' 5\n28363 ' ####' 5\n28364 ' $(\"#' 5\n28365 \" $('#\" 5\n28366 \" $('.\" 5\n28367 \" '../\" 5\n28368 ' (“' 5\n28369 ' („' 5\n28370 ' (†' 5\n28371 ' (−' 5\n28372 ' ****' 5\n28373 ' ----' 5\n28374 ' ...\"' 5\n28375 ' ...)' 5\n28376 ' ...,' 5\n28377 ' ....' 5\n28378 ' /></' 5\n28379 ' <!--' 5\n28380 ' ADHD' 5\n28381 ' AIDS' 5\n28382 ' AJAX' 5\n28383 ' APIs' 5\n28384 ' AUTH' 5\n28385 ' AUTO' 5\n28386 ' Abel' 5\n28387 ' Aber' 5\n28388 ' Acad' 5\n28389 ' Acid' 5\n28390 ' Acts' 5\n28391 ' Adam' 5\n28392 ' Adds' 5\n28393 ' Adri' 5\n28394 ' Ages' 5\n28395 ' Ajax' 5\n28396 ' Alam' 5\n28397 ' Alan' 5\n28398 ' Alex' 5\n28399 ' Alic' 5\n28400 ' Alle' 5\n28401 ' Alps' 5\n28402 ' Also' 5\n28403 ' Alto' 5\n28404 ' Amar' 5\n28405 ' Amen' 5\n28406 ' Amer' 5\n28407 ' Amin' 5\n28408 ' Amph' 5\n28409 ' Ampl' 5\n28410 ' Anal' 5\n28411 ' Anat' 5\n28412 ' Andy' 5\n28413 ' Anim' 5\n28414 ' Anna' 5\n28415 ' Anne' 5\n28416 ' Anth' 5\n28417 ' Anti' 5\n28418 ' Anto' 5\n28419 ' Appe' 5\n28420 ' Appl' 5\n28421 ' Apps' 5\n28422 ' Arab' 5\n28423 ' Arch' 5\n28424 ' Area' 5\n28425 ' Args' 5\n28426 ' Arms' 5\n28427 ' Army' 5\n28428 ' Arte' 5\n28429 ' Arts' 5\n28430 ' Asia' 5\n28431 ' Astr' 5\n28432 ' Athe' 5\n28433 ' Atom' 5\n28434 ' Auch' 5\n28435 ' Audi' 5\n28436 ' Aunt' 5\n28437 ' Aure' 5\n28438 ' Auss' 5\n28439 ' Aust' 5\n28440 ' Auth' 5\n28441 ' Auto' 5\n28442 ' Auß' 5\n28443 ' Aval' 5\n28444 ' Avec' 5\n28445 ' Aviv' 5\n28446 ' Away' 5\n28447 ' Axis' 5\n28448 ' BACK' 5\n28449 ' BASE' 5\n28450 ' Baby' 5\n28451 ' Bach' 5\n28452 ' Back' 5\n28453 ' Bake' 5\n28454 ' Bald' 5\n28455 ' Balk' 5\n28456 ' Ball' 5\n28457 ' Balt' 5\n28458 ' Band' 5\n28459 ' Bang' 5\n28460 ' Bank' 5\n28461 ' Bapt' 5\n28462 ' Barb' 5\n28463 ' Bard' 5\n28464 ' Bare' 5\n28465 ' Bark' 5\n28466 ' Barn' 5\n28467 ' Barr' 5\n28468 ' Bars' 5\n28469 ' Bart' 5\n28470 ' Base' 5\n28471 ' Bash' 5\n28472 ' Bass' 5\n28473 ' Bast' 5\n28474 ' Bath' 5\n28475 ' Batt' 5\n28476 ' Beam' 5\n28477 ' Bean' 5\n28478 ' Bear' 5\n28479 ' Beat' 5\n28480 ' Beau' 5\n28481 ' Beck' 5\n28482 ' Beer' 5\n28483 ' Belg' 5\n28484 ' Bell' 5\n28485 ' Belt' 5\n28486 ' Bend' 5\n28487 ' Bene' 5\n28488 ' Beng' 5\n28489 ' Benn' 5\n28490 ' Bent' 5\n28491 ' Benz' 5\n28492 ' Bere' 5\n28493 ' Berg' 5\n28494 ' Berk' 5\n28495 ' Berm' 5\n28496 ' Bern' 5\n28497 ' Bert' 5\n28498 ' Best' 5\n28499 ' Beta' 5\n28500 ' Beth' 5\n28501 ' Bett' 5\n28502 ' Bhar' 5\n28503 ' Bian' 5\n28504 ' Bien' 5\n28505 ' Bild' 5\n28506 ' Bill' 5\n28507 ' Bind' 5\n28508 ' Bing' 5\n28509 ' Biol' 5\n28510 ' Bios' 5\n28511 ' Bird' 5\n28512 ' Blog' 5\n28513 ' Blue' 5\n28514 ' Blvd' 5\n28515 ' Boat' 5\n28516 ' Body' 5\n28517 ' Bold' 5\n28518 ' Bolt' 5\n28519 ' Bomb' 5\n28520 ' Bond' 5\n28521 ' Bone' 5\n28522 ' Bonn' 5\n28523 ' Book' 5\n28524 ' Bool' 5\n28525 ' Boot' 5\n28526 ' Bord' 5\n28527 ' Borg' 5\n28528 ' Born' 5\n28529 ' Boss' 5\n28530 ' Both' 5\n28531 ' Bott' 5\n28532 ' Bour' 5\n28533 ' Bout' 5\n28534 ' Bowl' 5\n28535 ' Boyd' 5\n28536 ' Boys' 5\n28537 ' Brad' 5\n28538 ' Brah' 5\n28539 ' Bram' 5\n28540 ' Bran' 5\n28541 ' Bras' 5\n28542 ' Braz' 5\n28543 ' Bren' 5\n28544 ' Bret' 5\n28545 ' Brew' 5\n28546 ' Brid' 5\n28547 ' Brig' 5\n28548 ' Bris' 5\n28549 ' Brit' 5\n28550 ' Brom' 5\n28551 ' Bron' 5\n28552 ' Bros' 5\n28553 ' Brow' 5\n28554 ' Brun' 5\n28555 ' Buch' 5\n28556 ' Buck' 5\n28557 ' Budd' 5\n28558 ' Buen' 5\n28559 ' Buff' 5\n28560 ' Bulg' 5\n28561 ' Bulk' 5\n28562 ' Bull' 5\n28563 ' Bund' 5\n28564 ' Burg' 5\n28565 ' Burk' 5\n28566 ' Burn' 5\n28567 ' Bush' 5\n28568 ' Bust' 5\n28569 ' Buzz' 5\n28570 ' Byte' 5\n28571 ' Bür' 5\n28572 ' CALL' 5\n28573 ' CASE' 5\n28574 ' CAST' 5\n28575 ' CENT' 5\n28576 ' CHAR' 5\n28577 ' CITY' 5\n28578 ' CODE' 5\n28579 ' COMM' 5\n28580 ' COMP' 5\n28581 ' CONT' 5\n28582 ' COPY' 5\n28583 ' CPUs' 5\n28584 ' CTRL' 5\n28585 ' CUDA' 5\n28586 ' CURL' 5\n28587 ' Cafe' 5\n28588 ' Cage' 5\n28589 ' Cain' 5\n28590 ' Cake' 5\n28591 ' Calc' 5\n28592 ' Cald' 5\n28593 ' Call' 5\n28594 ' Camb' 5\n28595 ' Camp' 5\n28596 ' Canc' 5\n28597 ' Cand' 5\n28598 ' Cann' 5\n28599 ' Cant' 5\n28600 ' Cape' 5\n28601 ' Capt' 5\n28602 ' Carb' 5\n28603 ' Card' 5\n28604 ' Care' 5\n28605 ' Carl' 5\n28606 ' Carm' 5\n28607 ' Carn' 5\n28608 ' Carp' 5\n28609 ' Carr' 5\n28610 ' Cars' 5\n28611 ' Cart' 5\n28612 ' Cary' 5\n28613 ' Casa' 5\n28614 ' Casc' 5\n28615 ' Case' 5\n28616 ' Cash' 5\n28617 ' Cass' 5\n28618 ' Cast' 5\n28619 ' Cath' 5\n28620 ' Cauc' 5\n28621 ' Cave' 5\n28622 ' Cele' 5\n28623 ' Cell' 5\n28624 ' Celt' 5\n28625 ' Cent' 5\n28626 ' Cert' 5\n28627 ' Chad' 5\n28628 ' Chal' 5\n28629 ' Cham' 5\n28630 ' Chan' 5\n28631 ' Chap' 5\n28632 ' Char' 5\n28633 ' Chat' 5\n28634 ' Chef' 5\n28635 ' Chel' 5\n28636 ' Chem' 5\n28637 ' Chen' 5\n28638 ' Cher' 5\n28639 ' Ches' 5\n28640 ' Chev' 5\n28641 ' Chic' 5\n28642 ' Chim' 5\n28643 ' Chin' 5\n28644 ' Chip' 5\n28645 ' Choi' 5\n28646 ' Chop' 5\n28647 ' Chow' 5\n28648 ' Chun' 5\n28649 ' Circ' 5\n28650 ' City' 5\n28651 ' Clar' 5\n28652 ' Clay' 5\n28653 ' Clem' 5\n28654 ' Clim' 5\n28655 ' Clin' 5\n28656 ' Clip' 5\n28657 ' Club' 5\n28658 ' Coal' 5\n28659 ' Cobb' 5\n28660 ' Coca' 5\n28661 ' Coch' 5\n28662 ' Cock' 5\n28663 ' Code' 5\n28664 ' Cody' 5\n28665 ' Coin' 5\n28666 ' Cold' 5\n28667 ' Cole' 5\n28668 ' Coll' 5\n28669 ' Comb' 5\n28670 ' Come' 5\n28671 ' Comm' 5\n28672 ' Como' 5\n28673 ' Comp' 5\n28674 ' Conc' 5\n28675 ' Cond' 5\n28676 ' Conf' 5\n28677 ' Cong' 5\n28678 ' Conn' 5\n28679 ' Cons' 5\n28680 ' Cont' 5\n28681 ' Conv' 5\n28682 ' Cook' 5\n28683 ' Cool' 5\n28684 ' Copa' 5\n28685 ' Copy' 5\n28686 ' Cord' 5\n28687 ' Core' 5\n28688 ' Cork' 5\n28689 ' Corn' 5\n28690 ' Corp' 5\n28691 ' Cors' 5\n28692 ' Cort' 5\n28693 ' Cory' 5\n28694 ' Cost' 5\n28695 ' Coul' 5\n28696 ' Coun' 5\n28697 ' Cour' 5\n28698 ' Cous' 5\n28699 ' Cout' 5\n28700 ' Crab' 5\n28701 ' Cran' 5\n28702 ' Craw' 5\n28703 ' Cred' 5\n28704 ' Cres' 5\n28705 ' Crew' 5\n28706 ' Crim' 5\n28707 ' Cris' 5\n28708 ' Crit' 5\n28709 ' Crom' 5\n28710 ' Cron' 5\n28711 ' Crop' 5\n28712 ' Cros' 5\n28713 ' Crow' 5\n28714 ' Crus' 5\n28715 ' Cruz' 5\n28716 ' Ctrl' 5\n28717 ' Cuba' 5\n28718 ' Cube' 5\n28719 ' Cubs' 5\n28720 ' Cult' 5\n28721 ' Curt' 5\n28722 ' Cust' 5\n28723 ' Cycl' 5\n28724 ' Cés' 5\n28725 ' DATA' 5\n28726 ' DATE' 5\n28727 ' DEAL' 5\n28728 ' DESC' 5\n28729 ' DHCP' 5\n28730 ' DIST' 5\n28731 ' DOWN' 5\n28732 ' Dahl' 5\n28733 ' Dale' 5\n28734 ' Dame' 5\n28735 ' Dana' 5\n28736 ' Dani' 5\n28737 ' Dans' 5\n28738 ' Dark' 5\n28739 ' Dart' 5\n28740 ' Dash' 5\n28741 ' Data' 5\n28742 ' Date' 5\n28743 ' Dave' 5\n28744 ' Dawn' 5\n28745 ' Days' 5\n28746 ' Dead' 5\n28747 ' Deal' 5\n28748 ' Dean' 5\n28749 ' Dear' 5\n28750 ' Debt' 5\n28751 ' Deck' 5\n28752 ' Decl' 5\n28753 ' Deep' 5\n28754 ' Dell' 5\n28755 ' Demo' 5\n28756 ' Deng' 5\n28757 ' Dent' 5\n28758 ' Dept' 5\n28759 ' Desc' 5\n28760 ' Dest' 5\n28761 ' Deus' 5\n28762 ' Devi' 5\n28763 ' Dial' 5\n28764 ' Diam' 5\n28765 ' Diaz' 5\n28766 ' Dick' 5\n28767 ' Dict' 5\n28768 ' Didn' 5\n28769 ' Dies' 5\n28770 ' Diet' 5\n28771 ' Diff' 5\n28772 ' Ding' 5\n28773 ' Dion' 5\n28774 ' Dios' 5\n28775 ' Dipl' 5\n28776 ' Dire' 5\n28777 ' Disc' 5\n28778 ' Dise' 5\n28779 ' Disk' 5\n28780 ' Diss' 5\n28781 ' Dist' 5\n28782 ' Dock' 5\n28783 ' Does' 5\n28784 ' Dogs' 5\n28785 ' Doll' 5\n28786 ' Dome' 5\n28787 ' Done' 5\n28788 ' Dong' 5\n28789 ' Door' 5\n28790 ' Dort' 5\n28791 ' Doug' 5\n28792 ' Down' 5\n28793 ' Drag' 5\n28794 ' Draw' 5\n28795 ' Dres' 5\n28796 ' Drew' 5\n28797 ' Drop' 5\n28798 ' Drug' 5\n28799 ' Drum' 5\n28800 ' Dual' 5\n28801 ' Duch' 5\n28802 ' Duck' 5\n28803 ' Duke' 5\n28804 ' Dunn' 5\n28805 ' Dust' 5\n28806 ' Duty' 5\n28807 ' Déc' 5\n28808 ' EDIT' 5\n28809 ' ELSE' 5\n28810 ' ESPN' 5\n28811 ' EVEN' 5\n28812 ' Each' 5\n28813 ' Earl' 5\n28814 ' East' 5\n28815 ' Easy' 5\n28816 ' Echo' 5\n28817 ' Econ' 5\n28818 ' Eden' 5\n28819 ' Edge' 5\n28820 ' Edit' 5\n28821 ' Educ' 5\n28822 ' Eine' 5\n28823 ' Elis' 5\n28824 ' Elle' 5\n28825 ' Elli' 5\n28826 ' Elon' 5\n28827 ' Elsa' 5\n28828 ' Else' 5\n28829 ' Emer' 5\n28830 ' Emil' 5\n28831 ' Emir' 5\n28832 ' Emma' 5\n28833 ' Emmy' 5\n28834 ' Ende' 5\n28835 ' Enum' 5\n28836 ' Epic' 5\n28837 ' Epid' 5\n28838 ' Eric' 5\n28839 ' Erik' 5\n28840 ' Erin' 5\n28841 ' Esta' 5\n28842 ' Este' 5\n28843 ' Euro' 5\n28844 ' Eval' 5\n28845 ' Evan' 5\n28846 ' Even' 5\n28847 ' Ever' 5\n28848 ' Evil' 5\n28849 ' Exec' 5\n28850 ' Exit' 5\n28851 ' Expl' 5\n28852 ' Expo' 5\n28853 ' Eyes' 5\n28854 ' FAIL' 5\n28855 ' FAST' 5\n28856 ' FIFA' 5\n28857 ' FILE' 5\n28858 ' FLAG' 5\n28859 ' FORM' 5\n28860 ' FREE' 5\n28861 ' FROM' 5\n28862 ' FULL' 5\n28863 ' Face' 5\n28864 ' Fach' 5\n28865 ' Fact' 5\n28866 ' Fail' 5\n28867 ' Fair' 5\n28868 ' Fake' 5\n28869 ' Falk' 5\n28870 ' Fall' 5\n28871 ' Fame' 5\n28872 ' Fang' 5\n28873 ' Fans' 5\n28874 ' Fant' 5\n28875 ' Farm' 5\n28876 ' Fasc' 5\n28877 ' Fast' 5\n28878 ' Fate' 5\n28879 ' Fear' 5\n28880 ' Feed' 5\n28881 ' Feel' 5\n28882 ' Feld' 5\n28883 ' Feng' 5\n28884 ' Ferm' 5\n28885 ' Fern' 5\n28886 ' Ferr' 5\n28887 ' Fest' 5\n28888 ' Fiji' 5\n28889 ' File' 5\n28890 ' Fill' 5\n28891 ' Film' 5\n28892 ' Find' 5\n28893 ' Fine' 5\n28894 ' Finn' 5\n28895 ' Fire' 5\n28896 ' Firm' 5\n28897 ' Fish' 5\n28898 ' Fitz' 5\n28899 ' Five' 5\n28900 ' Flag' 5\n28901 ' Flam' 5\n28902 ' Flat' 5\n28903 ' Flex' 5\n28904 ' Flip' 5\n28905 ' Flor' 5\n28906 ' Flow' 5\n28907 ' Fold' 5\n28908 ' Folk' 5\n28909 ' Font' 5\n28910 ' Food' 5\n28911 ' Foot' 5\n28912 ' Ford' 5\n28913 ' Fore' 5\n28914 ' Fork' 5\n28915 ' Form' 5\n28916 ' Fors' 5\n28917 ' Fort' 5\n28918 ' Four' 5\n28919 ' Frag' 5\n28920 ' Fran' 5\n28921 ' Fred' 5\n28922 ' Free' 5\n28923 ' Fres' 5\n28924 ' Frid' 5\n28925 ' Frog' 5\n28926 ' From' 5\n28927 ' Fuck' 5\n28928 ' Fuel' 5\n28929 ' Full' 5\n28930 ' Func' 5\n28931 ' Fund' 5\n28932 ' Funk' 5\n28933 ' Furn' 5\n28934 ' Fury' 5\n28935 ' Fuß' 5\n28936 ' För' 5\n28937 ' Für' 5\n28938 ' GOOD' 5\n28939 ' GPIO' 5\n28940 ' GUID' 5\n28941 ' Gain' 5\n28942 ' Gale' 5\n28943 ' Gall' 5\n28944 ' Gamb' 5\n28945 ' Game' 5\n28946 ' Gand' 5\n28947 ' Gang' 5\n28948 ' Garc' 5\n28949 ' Gard' 5\n28950 ' Garn' 5\n28951 ' Gary' 5\n28952 ' Gast' 5\n28953 ' Gate' 5\n28954 ' Gaza' 5\n28955 ' Gear' 5\n28956 ' Gene' 5\n28957 ' Gent' 5\n28958 ' Germ' 5\n28959 ' Gest' 5\n28960 ' Gets' 5\n28961 ' Gian' 5\n28962 ' Gift' 5\n28963 ' Gill' 5\n28964 ' Giov' 5\n28965 ' Girl' 5\n28966 ' Giul' 5\n28967 ' Give' 5\n28968 ' Glad' 5\n28969 ' Glas' 5\n28970 ' Glen' 5\n28971 ' Glob' 5\n28972 ' GmbH' 5\n28973 ' Goal' 5\n28974 ' Gods' 5\n28975 ' Goes' 5\n28976 ' Gold' 5\n28977 ' Golf' 5\n28978 ' Gong' 5\n28979 ' Gonz' 5\n28980 ' Good' 5\n28981 ' Gore' 5\n28982 ' Goth' 5\n28983 ' Gott' 5\n28984 ' Grab' 5\n28985 ' Grad' 5\n28986 ' Graf' 5\n28987 ' Gram' 5\n28988 ' Gran' 5\n28989 ' Grav' 5\n28990 ' Gray' 5\n28991 ' Graz' 5\n28992 ' Gree' 5\n28993 ' Greg' 5\n28994 ' Gren' 5\n28995 ' Grey' 5\n28996 ' Grid' 5\n28997 ' Grim' 5\n28998 ' Gros' 5\n28999 ' Grow' 5\n29000 ' Grü' 5\n29001 ' Guam' 5\n29002 ' Guer' 5\n29003 ' Guid' 5\n29004 ' Gulf' 5\n29005 ' Gund' 5\n29006 ' Gunn' 5\n29007 ' Guru' 5\n29008 ' Gust' 5\n29009 ' Gén' 5\n29010 ' Gün' 5\n29011 ' HAND' 5\n29012 ' HAVE' 5\n29013 ' HEAD' 5\n29014 ' HERE' 5\n29015 ' HIGH' 5\n29016 ' HOLD' 5\n29017 ' HOME' 5\n29018 ' HTML' 5\n29019 ' HTTP' 5\n29020 ' Hack' 5\n29021 ' Hair' 5\n29022 ' Hait' 5\n29023 ' Hale' 5\n29024 ' Half' 5\n29025 ' Hall' 5\n29026 ' Halo' 5\n29027 ' Hamb' 5\n29028 ' Hamm' 5\n29029 ' Hamp' 5\n29030 ' Hand' 5\n29031 ' Hang' 5\n29032 ' Hank' 5\n29033 ' Hann' 5\n29034 ' Hans' 5\n29035 ' Happ' 5\n29036 ' Hard' 5\n29037 ' Harm' 5\n29038 ' Harr' 5\n29039 ' Hart' 5\n29040 ' Hash' 5\n29041 ' Hass' 5\n29042 ' Hast' 5\n29043 ' Haus' 5\n29044 ' Haut' 5\n29045 ' Have' 5\n29046 ' Hawk' 5\n29047 ' Head' 5\n29048 ' Hear' 5\n29049 ' Heat' 5\n29050 ' Heck' 5\n29051 ' Hein' 5\n29052 ' Hell' 5\n29053 ' Helm' 5\n29054 ' Help' 5\n29055 ' Hels' 5\n29056 ' Hend' 5\n29057 ' Hera' 5\n29058 ' Herb' 5\n29059 ' Here' 5\n29060 ' Herm' 5\n29061 ' Hern' 5\n29062 ' Hero' 5\n29063 ' Herr' 5\n29064 ' Hers' 5\n29065 ' Herz' 5\n29066 ' Hess' 5\n29067 ' Hide' 5\n29068 ' Hier' 5\n29069 ' High' 5\n29070 ' Hill' 5\n29071 ' Hind' 5\n29072 ' Hipp' 5\n29073 ' Hiro' 5\n29074 ' Hist' 5\n29075 ' Hoch' 5\n29076 ' Hodg' 5\n29077 ' Hoff' 5\n29078 ' Hold' 5\n29079 ' Hole' 5\n29080 ' Holl' 5\n29081 ' Holt' 5\n29082 ' Holy' 5\n29083 ' Home' 5\n29084 ' Homo' 5\n29085 ' Hond' 5\n29086 ' Hong' 5\n29087 ' Hood' 5\n29088 ' Hook' 5\n29089 ' Hope' 5\n29090 ' Horn' 5\n29091 ' Hort' 5\n29092 ' Host' 5\n29093 ' Hour' 5\n29094 ' Howe' 5\n29095 ' Html' 5\n29096 ' Http' 5\n29097 ' Huff' 5\n29098 ' Hugh' 5\n29099 ' Hugo' 5\n29100 ' Hull' 5\n29101 ' Hulu' 5\n29102 ' Hung' 5\n29103 ' Hunt' 5\n29104 ' Huss' 5\n29105 ' Hyde' 5\n29106 ' IEEE' 5\n29107 ' IMDb' 5\n29108 ' INFO' 5\n29109 ' INST' 5\n29110 ' INTO' 5\n29111 ' IPCC' 5\n29112 ' ISBN' 5\n29113 ' ISIS' 5\n29114 ' ISSN' 5\n29115 ' ITEM' 5\n29116 ' Ibid' 5\n29117 ' Icon' 5\n29118 ' Idea' 5\n29119 ' Imag' 5\n29120 ' Indo' 5\n29121 ' Indy' 5\n29122 ' Info' 5\n29123 ' Init' 5\n29124 ' Insp' 5\n29125 ' Inst' 5\n29126 ' Into' 5\n29127 ' Intr' 5\n29128 ' Iowa' 5\n29129 ' Iran' 5\n29130 ' Iraq' 5\n29131 ' Iris' 5\n29132 ' Iron' 5\n29133 ' Isle' 5\n29134 ' Isra' 5\n29135 ' Ital' 5\n29136 ' Item' 5\n29137 ' Iter' 5\n29138 ' Ivan' 5\n29139 ' JOIN' 5\n29140 ' JPEG' 5\n29141 ' JSON' 5\n29142 ' JUST' 5\n29143 ' Jack' 5\n29144 ' Jade' 5\n29145 ' Jail' 5\n29146 ' Jake' 5\n29147 ' Jama' 5\n29148 ' Jane' 5\n29149 ' Java' 5\n29150 ' Jazz' 5\n29151 ' Jean' 5\n29152 ' Jedi' 5\n29153 ' Jeff' 5\n29154 ' Jenn' 5\n29155 ' Jess' 5\n29156 ' Jets' 5\n29157 ' Jews' 5\n29158 ' Jian' 5\n29159 ' Jill' 5\n29160 ' Jing' 5\n29161 ' Joan' 5\n29162 ' Jobs' 5\n29163 ' Joel' 5\n29164 ' Joey' 5\n29165 ' John' 5\n29166 ' Join' 5\n29167 ' Jong' 5\n29168 ' Jord' 5\n29169 ' Jose' 5\n29170 ' Josh' 5\n29171 ' Json' 5\n29172 ' Juan' 5\n29173 ' Juda' 5\n29174 ' Jude' 5\n29175 ' Judy' 5\n29176 ' Juli' 5\n29177 ' July' 5\n29178 ' Jump' 5\n29179 ' June' 5\n29180 ' Jung' 5\n29181 ' Juni' 5\n29182 ' Just' 5\n29183 ' KIND' 5\n29184 ' Kamp' 5\n29185 ' Kane' 5\n29186 ' Kang' 5\n29187 ' Kant' 5\n29188 ' Kara' 5\n29189 ' Karl' 5\n29190 ' Karn' 5\n29191 ' Kart' 5\n29192 ' Kash' 5\n29193 ' Kate' 5\n29194 ' Kath' 5\n29195 ' Katz' 5\n29196 ' Kauf' 5\n29197 ' Keep' 5\n29198 ' Kell' 5\n29199 ' Kemp' 5\n29200 ' Kend' 5\n29201 ' Kenn' 5\n29202 ' Kens' 5\n29203 ' Kent' 5\n29204 ' Kerr' 5\n29205 ' Keys' 5\n29206 ' Khal' 5\n29207 ' Khan' 5\n29208 ' Kick' 5\n29209 ' Kids' 5\n29210 ' Kiev' 5\n29211 ' Kill' 5\n29212 ' Kind' 5\n29213 ' King' 5\n29214 ' Kirk' 5\n29215 ' Kiss' 5\n29216 ' Kitt' 5\n29217 ' Know' 5\n29218 ' Knox' 5\n29219 ' Kobe' 5\n29220 ' Koch' 5\n29221 ' Komm' 5\n29222 ' Kong' 5\n29223 ' Kont' 5\n29224 ' Kore' 5\n29225 ' Kris' 5\n29226 ' Kron' 5\n29227 ' Kurd' 5\n29228 ' Kurt' 5\n29229 ' Kush' 5\n29230 ' Kyle' 5\n29231 ' Kön' 5\n29232 ' Kör' 5\n29233 ' LANG' 5\n29234 ' LDAP' 5\n29235 ' LEDs' 5\n29236 ' LEFT' 5\n29237 ' LGBT' 5\n29238 ' LGPL' 5\n29239 ' LIKE' 5\n29240 ' LINE' 5\n29241 ' LIST' 5\n29242 ' LONG' 5\n29243 ' LORD' 5\n29244 ' LOSS' 5\n29245 ' LOVE' 5\n29246 ' LSTM' 5\n29247 ' Labs' 5\n29248 ' Lack' 5\n29249 ' Lady' 5\n29250 ' Lake' 5\n29251 ' Lamb' 5\n29252 ' Lamp' 5\n29253 ' Lanc' 5\n29254 ' Land' 5\n29255 ' Lane' 5\n29256 ' Lang' 5\n29257 ' Lans' 5\n29258 ' Lars' 5\n29259 ' Last' 5\n29260 ' Late' 5\n29261 ' Laur' 5\n29262 ' Laws' 5\n29263 ' Lead' 5\n29264 ' Leaf' 5\n29265 ' Leah' 5\n29266 ' Lear' 5\n29267 ' Lect' 5\n29268 ' Left' 5\n29269 ' Lego' 5\n29270 ' Lens' 5\n29271 ' Lent' 5\n29272 ' Leon' 5\n29273 ' Less' 5\n29274 ' Lett' 5\n29275 ' Levi' 5\n29276 ' Levy' 5\n29277 ' Liam' 5\n29278 ' Life' 5\n29279 ' Liga' 5\n29280 ' Like' 5\n29281 ' Lily' 5\n29282 ' Lima' 5\n29283 ' Lind' 5\n29284 ' Line' 5\n29285 ' Ling' 5\n29286 ' Link' 5\n29287 ' Lion' 5\n29288 ' Liqu' 5\n29289 ' Lisa' 5\n29290 ' List' 5\n29291 ' Lith' 5\n29292 ' Live' 5\n29293 ' Load' 5\n29294 ' Loan' 5\n29295 ' Lock' 5\n29296 ' Logo' 5\n29297 ' Lomb' 5\n29298 ' Lond' 5\n29299 ' Long' 5\n29300 ' Look' 5\n29301 ' Loop' 5\n29302 ' Lord' 5\n29303 ' Lore' 5\n29304 ' Loss' 5\n29305 ' Lost' 5\n29306 ' Lots' 5\n29307 ' Love' 5\n29308 ' Lowe' 5\n29309 ' Luca' 5\n29310 ' Luck' 5\n29311 ' Lucy' 5\n29312 ' Luft' 5\n29313 ' Luis' 5\n29314 ' Luke' 5\n29315 ' Luna' 5\n29316 ' Lund' 5\n29317 ' Lung' 5\n29318 ' Lynn' 5\n29319 ' Lyon' 5\n29320 ' MARK' 5\n29321 ' MIME' 5\n29322 ' MODE' 5\n29323 ' MORE' 5\n29324 ' MUST' 5\n29325 ' Mach' 5\n29326 ' Mack' 5\n29327 ' Madd' 5\n29328 ' Made' 5\n29329 ' Mage' 5\n29330 ' Magn' 5\n29331 ' Mail' 5\n29332 ' Main' 5\n29333 ' Mais' 5\n29334 ' Make' 5\n29335 ' Male' 5\n29336 ' Mali' 5\n29337 ' Mall' 5\n29338 ' Mama' 5\n29339 ' Mand' 5\n29340 ' Mang' 5\n29341 ' Mann' 5\n29342 ' Mans' 5\n29343 ' Mant' 5\n29344 ' Many' 5\n29345 ' Maps' 5\n29346 ' Mara' 5\n29347 ' Marc' 5\n29348 ' Mare' 5\n29349 ' Marg' 5\n29350 ' Mari' 5\n29351 ' Mark' 5\n29352 ' Mars' 5\n29353 ' Mart' 5\n29354 ' Marx' 5\n29355 ' Mary' 5\n29356 ' Mash' 5\n29357 ' Mask' 5\n29358 ' Mass' 5\n29359 ' Mast' 5\n29360 ' Mate' 5\n29361 ' Math' 5\n29362 ' Mats' 5\n29363 ' Matt' 5\n29364 ' Maur' 5\n29365 ' Maya' 5\n29366 ' Mayo' 5\n29367 ' McCl' 5\n29368 ' Mean' 5\n29369 ' Meat' 5\n29370 ' Mech' 5\n29371 ' Medi' 5\n29372 ' Meet' 5\n29373 ' Mega' 5\n29374 ' Mein' 5\n29375 ' Mell' 5\n29376 ' Mend' 5\n29377 ' Meng' 5\n29378 ' Mens' 5\n29379 ' Ment' 5\n29380 ' Menu' 5\n29381 ' Merc' 5\n29382 ' Merr' 5\n29383 ' Mesa' 5\n29384 ' Mesh' 5\n29385 ' Mess' 5\n29386 ' Meta' 5\n29387 ' Meth' 5\n29388 ' Mets' 5\n29389 ' Mich' 5\n29390 ' Mick' 5\n29391 ' Midd' 5\n29392 ' Mike' 5\n29393 ' Mild' 5\n29394 ' Mile' 5\n29395 ' Milk' 5\n29396 ' Mill' 5\n29397 ' Mind' 5\n29398 ' Mine' 5\n29399 ' Ming' 5\n29400 ' Mini' 5\n29401 ' Mint' 5\n29402 ' Mira' 5\n29403 ' Misc' 5\n29404 ' Mish' 5\n29405 ' Miss' 5\n29406 ' Mist' 5\n29407 ' Mits' 5\n29408 ' Mitt' 5\n29409 ' Mock' 5\n29410 ' Mode' 5\n29411 ' Modi' 5\n29412 ' Mold' 5\n29413 ' Mond' 5\n29414 ' Mong' 5\n29415 ' Mono' 5\n29416 ' Mons' 5\n29417 ' Mont' 5\n29418 ' Mood' 5\n29419 ' Moon' 5\n29420 ' Moor' 5\n29421 ' More' 5\n29422 ' Mori' 5\n29423 ' Mort' 5\n29424 ' Moss' 5\n29425 ' Most' 5\n29426 ' Moto' 5\n29427 ' Mour' 5\n29428 ' Move' 5\n29429 ' Much' 5\n29430 ' Mull' 5\n29431 ' Mult' 5\n29432 ' Mund' 5\n29433 ' Muse' 5\n29434 ' Mush' 5\n29435 ' Musk' 5\n29436 ' Muss' 5\n29437 ' Must' 5\n29438 ' Myst' 5\n29439 ' Myth' 5\n29440 ' Más' 5\n29441 ' Mär' 5\n29442 ' Méd' 5\n29443 ' Mét' 5\n29444 ' Mün' 5\n29445 ' NAME' 5\n29446 ' NASA' 5\n29447 ' NATO' 5\n29448 ' NCAA' 5\n29449 ' NEED' 5\n29450 ' NEWS' 5\n29451 ' NEXT' 5\n29452 ' NGOs' 5\n29453 ' NOTE' 5\n29454 ' NULL' 5\n29455 ' Nach' 5\n29456 ' Name' 5\n29457 ' Nano' 5\n29458 ' Narr' 5\n29459 ' Nash' 5\n29460 ' Nass' 5\n29461 ' Nate' 5\n29462 ' Nath' 5\n29463 ' Navy' 5\n29464 ' Nazi' 5\n29465 ' Neal' 5\n29466 ' Near' 5\n29467 ' Need' 5\n29468 ' Neil' 5\n29469 ' Nest' 5\n29470 ' Nets' 5\n29471 ' Neut' 5\n29472 ' News' 5\n29473 ' Next' 5\n29474 ' Nice' 5\n29475 ' Nich' 5\n29476 ' Nick' 5\n29477 ' Niet' 5\n29478 ' Nike' 5\n29479 ' Nile' 5\n29480 ' Nina' 5\n29481 ' Nine' 5\n29482 ' Ning' 5\n29483 ' Noah' 5\n29484 ' Node' 5\n29485 ' Noel' 5\n29486 ' Noir' 5\n29487 ' None' 5\n29488 ' Nora' 5\n29489 ' Nord' 5\n29490 ' Norm' 5\n29491 ' Nort' 5\n29492 ' Note' 5\n29493 ' Nous' 5\n29494 ' Nova' 5\n29495 ' Null' 5\n29496 ' Nurs' 5\n29497 ' Não' 5\n29498 ' När' 5\n29499 ' OECD' 5\n29500 ' ONLY' 5\n29501 ' OPEN' 5\n29502 ' OPER' 5\n29503 ' OVER' 5\n29504 ' Ober' 5\n29505 ' Obst' 5\n29506 ' Ohio' 5\n29507 ' Okay' 5\n29508 ' Oliv' 5\n29509 ' Oman' 5\n29510 ' Omar' 5\n29511 ' Once' 5\n29512 ' Only' 5\n29513 ' Open' 5\n29514 ' Oper' 5\n29515 ' Oral' 5\n29516 ' Orig' 5\n29517 ' Orth' 5\n29518 ' Oslo' 5\n29519 ' Otto' 5\n29520 ' Oval' 5\n29521 ' Over' 5\n29522 ' Owen' 5\n29523 ' PAGE' 5\n29524 ' PART' 5\n29525 ' PASS' 5\n29526 ' PATH' 5\n29527 ' PLAY' 5\n29528 ' PMID' 5\n29529 ' PORT' 5\n29530 ' POST' 5\n29531 ' PRES' 5\n29532 ' PROC' 5\n29533 ' PROF' 5\n29534 ' PROP' 5\n29535 ' PTSD' 5\n29536 ' Pack' 5\n29537 ' Page' 5\n29538 ' Pain' 5\n29539 ' Pair' 5\n29540 ' Pale' 5\n29541 ' Pall' 5\n29542 ' Palm' 5\n29543 ' Panc' 5\n29544 ' Pand' 5\n29545 ' Pant' 5\n29546 ' Papa' 5\n29547 ' Para' 5\n29548 ' Pare' 5\n29549 ' Park' 5\n29550 ' Parl' 5\n29551 ' Parm' 5\n29552 ' Pars' 5\n29553 ' Part' 5\n29554 ' Paso' 5\n29555 ' Pass' 5\n29556 ' Past' 5\n29557 ' Path' 5\n29558 ' Paul' 5\n29559 ' Pays' 5\n29560 ' Peak' 5\n29561 ' Pear' 5\n29562 ' Peer' 5\n29563 ' Pend' 5\n29564 ' Peng' 5\n29565 ' Penn' 5\n29566 ' Pens' 5\n29567 ' Pent' 5\n29568 ' Perc' 5\n29569 ' Pere' 5\n29570 ' Perf' 5\n29571 ' Perl' 5\n29572 ' Perm' 5\n29573 ' Pero' 5\n29574 ' Pers' 5\n29575 ' Peru' 5\n29576 ' Pete' 5\n29577 ' Phen' 5\n29578 ' Phil' 5\n29579 ' Phot' 5\n29580 ' Phys' 5\n29581 ' Pick' 5\n29582 ' Pier' 5\n29583 ' Piet' 5\n29584 ' Pill' 5\n29585 ' Pine' 5\n29586 ' Ping' 5\n29587 ' Pink' 5\n29588 ' Pipe' 5\n29589 ' Pist' 5\n29590 ' Pitt' 5\n29591 ' Plan' 5\n29592 ' Plat' 5\n29593 ' Play' 5\n29594 ' Plot' 5\n29595 ' Plug' 5\n29596 ' Plus' 5\n29597 ' Pole' 5\n29598 ' Poll' 5\n29599 ' Polo' 5\n29600 ' Poly' 5\n29601 ' Pond' 5\n29602 ' Pont' 5\n29603 ' Pool' 5\n29604 ' Poor' 5\n29605 ' Pope' 5\n29606 ' Port' 5\n29607 ' Pose' 5\n29608 ' Poss' 5\n29609 ' Post' 5\n29610 ' Pour' 5\n29611 ' Prec' 5\n29612 ' Pred' 5\n29613 ' Pref' 5\n29614 ' Prem' 5\n29615 ' Prep' 5\n29616 ' Pres' 5\n29617 ' Pret' 5\n29618 ' Prev' 5\n29619 ' Prim' 5\n29620 ' Priv' 5\n29621 ' Prix' 5\n29622 ' Prob' 5\n29623 ' Proc' 5\n29624 ' Prod' 5\n29625 ' Prof' 5\n29626 ' Prol' 5\n29627 ' Prom' 5\n29628 ' Prop' 5\n29629 ' Pros' 5\n29630 ' Prot' 5\n29631 ' Prov' 5\n29632 ' Pré' 5\n29633 ' Publ' 5\n29634 ' Pull' 5\n29635 ' Pump' 5\n29636 ' Punk' 5\n29637 ' Pure' 5\n29638 ' Purs' 5\n29639 ' Push' 5\n29640 ' Qing' 5\n29641 ' Quad' 5\n29642 ' Qual' 5\n29643 ' Quin' 5\n29644 ' Quiz' 5\n29645 ' Qué' 5\n29646 ' READ' 5\n29647 ' REAL' 5\n29648 ' REST' 5\n29649 ' Race' 5\n29650 ' Rach' 5\n29651 ' Radi' 5\n29652 ' Rail' 5\n29653 ' Rain' 5\n29654 ' Rams' 5\n29655 ' Rand' 5\n29656 ' Rank' 5\n29657 ' Rare' 5\n29658 ' Rash' 5\n29659 ' Rate' 5\n29660 ' Rath' 5\n29661 ' Read' 5\n29662 ' Real' 5\n29663 ' Rear' 5\n29664 ' Rece' 5\n29665 ' Rect' 5\n29666 ' Reds' 5\n29667 ' Reed' 5\n29668 ' Reid' 5\n29669 ' Rein' 5\n29670 ' Rena' 5\n29671 ' Reno' 5\n29672 ' Rent' 5\n29673 ' Resp' 5\n29674 ' Rest' 5\n29675 ' Reve' 5\n29676 ' Reyn' 5\n29677 ' Rica' 5\n29678 ' Rice' 5\n29679 ' Rich' 5\n29680 ' Rick' 5\n29681 ' Rico' 5\n29682 ' Ride' 5\n29683 ' Ring' 5\n29684 ' Rise' 5\n29685 ' Risk' 5\n29686 ' Rita' 5\n29687 ' Road' 5\n29688 ' Rock' 5\n29689 ' Role' 5\n29690 ' Roll' 5\n29691 ' Roma' 5\n29692 ' Rome' 5\n29693 ' Room' 5\n29694 ' Root' 5\n29695 ' Rosa' 5\n29696 ' Rose' 5\n29697 ' Ross' 5\n29698 ' Roth' 5\n29699 ' Rout' 5\n29700 ' Ruby' 5\n29701 ' Rule' 5\n29702 ' Rush' 5\n29703 ' Russ' 5\n29704 ' Rust' 5\n29705 ' Ruth' 5\n29706 ' Ryan' 5\n29707 ' Rég' 5\n29708 ' Rés' 5\n29709 ' Río' 5\n29710 ' SARS' 5\n29711 ' SHOW' 5\n29712 ' SIGN' 5\n29713 ' SIZE' 5\n29714 ' SMTP' 5\n29715 ' SOME' 5\n29716 ' SPDX' 5\n29717 ' STAT' 5\n29718 ' STEM' 5\n29719 ' SUCH' 5\n29720 ' Sach' 5\n29721 ' Safe' 5\n29722 ' Saga' 5\n29723 ' Sage' 5\n29724 ' Said' 5\n29725 ' Sail' 5\n29726 ' Sale' 5\n29727 ' Salt' 5\n29728 ' Salv' 5\n29729 ' Same' 5\n29730 ' Sand' 5\n29731 ' Sang' 5\n29732 ' Sans' 5\n29733 ' Sant' 5\n29734 ' Sara' 5\n29735 ' Sask' 5\n29736 ' Saud' 5\n29737 ' Saul' 5\n29738 ' Save' 5\n29739 ' Says' 5\n29740 ' Scal' 5\n29741 ' Scan' 5\n29742 ' Scar' 5\n29743 ' Scha' 5\n29744 ' Sche' 5\n29745 ' Schl' 5\n29746 ' Schw' 5\n29747 ' Scot' 5\n29748 ' Scre' 5\n29749 ' Sean' 5\n29750 ' Seat' 5\n29751 ' Sect' 5\n29752 ' Seed' 5\n29753 ' Seek' 5\n29754 ' Sele' 5\n29755 ' Self' 5\n29756 ' Semi' 5\n29757 ' Send' 5\n29758 ' Sens' 5\n29759 ' Sent' 5\n29760 ' Sept' 5\n29761 ' Sequ' 5\n29762 ' Serv' 5\n29763 ' Seth' 5\n29764 ' Sets' 5\n29765 ' Sett' 5\n29766 ' Shah' 5\n29767 ' Sham' 5\n29768 ' Shan' 5\n29769 ' Shar' 5\n29770 ' Shaw' 5\n29771 ' Shel' 5\n29772 ' Shen' 5\n29773 ' Sher' 5\n29774 ' Shim' 5\n29775 ' Shin' 5\n29776 ' Ship' 5\n29777 ' Shir' 5\n29778 ' Shop' 5\n29779 ' Shot' 5\n29780 ' Show' 5\n29781 ' Shut' 5\n29782 ' Sick' 5\n29783 ' Side' 5\n29784 ' Sign' 5\n29785 ' Sind' 5\n29786 ' Sing' 5\n29787 ' Siri' 5\n29788 ' Site' 5\n29789 ' Size' 5\n29790 ' Skin' 5\n29791 ' Skip' 5\n29792 ' Slav' 5\n29793 ' Slim' 5\n29794 ' Slot' 5\n29795 ' Slov' 5\n29796 ' Slow' 5\n29797 ' Snap' 5\n29798 ' Snow' 5\n29799 ' Soci' 5\n29800 ' Soft' 5\n29801 ' Sold' 5\n29802 ' Sole' 5\n29803 ' Solo' 5\n29804 ' Some' 5\n29805 ' Song' 5\n29806 ' Sons' 5\n29807 ' Sony' 5\n29808 ' Soon' 5\n29809 ' Soph' 5\n29810 ' Sort' 5\n29811 ' Soul' 5\n29812 ' Soup' 5\n29813 ' Span' 5\n29814 ' Spar' 5\n29815 ' Spec' 5\n29816 ' Spin' 5\n29817 ' Spot' 5\n29818 ' Stam' 5\n29819 ' Stan' 5\n29820 ' Star' 5\n29821 ' Stat' 5\n29822 ' Stay' 5\n29823 ' Stef' 5\n29824 ' Step' 5\n29825 ' Ster' 5\n29826 ' Stim' 5\n29827 ' Stir' 5\n29828 ' Stop' 5\n29829 ' Stra' 5\n29830 ' Stre' 5\n29831 ' Stri' 5\n29832 ' Stro' 5\n29833 ' Stud' 5\n29834 ' Such' 5\n29835 ' Suff' 5\n29836 ' Suit' 5\n29837 ' Sund' 5\n29838 ' Sung' 5\n29839 ' Supp' 5\n29840 ' Sure' 5\n29841 ' Surv' 5\n29842 ' Swan' 5\n29843 ' Swed' 5\n29844 ' Sync' 5\n29845 ' Synd' 5\n29846 ' São' 5\n29847 ' Süd' 5\n29848 ' TEMP' 5\n29849 ' TEST' 5\n29850 ' TEXT' 5\n29851 ' THAT' 5\n29852 ' THEN' 5\n29853 ' THIS' 5\n29854 ' TIME' 5\n29855 ' TODO' 5\n29856 ' TORT' 5\n29857 ' TRAN' 5\n29858 ' TRUE' 5\n29859 ' TYPE' 5\n29860 ' Tags' 5\n29861 ' Tail' 5\n29862 ' Take' 5\n29863 ' Tale' 5\n29864 ' Talk' 5\n29865 ' Tall' 5\n29866 ' Tamb' 5\n29867 ' Tang' 5\n29868 ' Tank' 5\n29869 ' Tanz' 5\n29870 ' Tara' 5\n29871 ' Tart' 5\n29872 ' Task' 5\n29873 ' Tate' 5\n29874 ' Team' 5\n29875 ' Tech' 5\n29876 ' Teen' 5\n29877 ' Teil' 5\n29878 ' Tele' 5\n29879 ' Tell' 5\n29880 ' Temp' 5\n29881 ' Tenn' 5\n29882 ' Term' 5\n29883 ' Terr' 5\n29884 ' Tess' 5\n29885 ' Test' 5\n29886 ' Text' 5\n29887 ' Thai' 5\n29888 ' Than' 5\n29889 ' That' 5\n29890 ' Then' 5\n29891 ' Theo' 5\n29892 ' Ther' 5\n29893 ' They' 5\n29894 ' This' 5\n29895 ' Thom' 5\n29896 ' Thor' 5\n29897 ' Thur' 5\n29898 ' Thus' 5\n29899 ' Thé' 5\n29900 ' Tian' 5\n29901 ' Tier' 5\n29902 ' Tile' 5\n29903 ' Till' 5\n29904 ' Time' 5\n29905 ' Tina' 5\n29906 ' Tiny' 5\n29907 ' Tips' 5\n29908 ' Todd' 5\n29909 ' Todo' 5\n29910 ' Toll' 5\n29911 ' Tomb' 5\n29912 ' Tome' 5\n29913 ' Tong' 5\n29914 ' Tony' 5\n29915 ' Tool' 5\n29916 ' Tort' 5\n29917 ' Tory' 5\n29918 ' Tour' 5\n29919 ' Tout' 5\n29920 ' Town' 5\n29921 ' Trad' 5\n29922 ' Tran' 5\n29923 ' Trap' 5\n29924 ' Trav' 5\n29925 ' Tree' 5\n29926 ' Trek' 5\n29927 ' Trem' 5\n29928 ' Trib' 5\n29929 ' Trin' 5\n29930 ' Trip' 5\n29931 ' Trop' 5\n29932 ' Troy' 5\n29933 ' True' 5\n29934 ' Turk' 5\n29935 ' Turn' 5\n29936 ' Twin' 5\n29937 ' Type' 5\n29938 ' Tür' 5\n29939 ' UCLA' 5\n29940 ' UEFA' 5\n29941 ' UINT' 5\n29942 ' UNIT' 5\n29943 ' URLs' 5\n29944 ' USDA' 5\n29945 ' USER' 5\n29946 ' USSR' 5\n29947 ' UUID' 5\n29948 ' Uber' 5\n29949 ' Ultr' 5\n29950 ' Unit' 5\n29951 ' Univ' 5\n29952 ' Unix' 5\n29953 ' Upon' 5\n29954 ' Uran' 5\n29955 ' Used' 5\n29956 ' User' 5\n29957 ' Uses' 5\n29958 ' Utah' 5\n29959 ' Util' 5\n29960 ' VERY' 5\n29961 ' VIII' 5\n29962 ' Vacc' 5\n29963 ' Vale' 5\n29964 ' Vall' 5\n29965 ' Vand' 5\n29966 ' Vari' 5\n29967 ' Vega' 5\n29968 ' Vend' 5\n29969 ' Vent' 5\n29970 ' Vera' 5\n29971 ' Verb' 5\n29972 ' Verd' 5\n29973 ' Vere' 5\n29974 ' Verm' 5\n29975 ' Vern' 5\n29976 ' Vers' 5\n29977 ' Vert' 5\n29978 ' Very' 5\n29979 ' Vest' 5\n29980 ' Vice' 5\n29981 ' Vict' 5\n29982 ' Vide' 5\n29983 ' Viet' 5\n29984 ' View' 5\n29985 ' Vill' 5\n29986 ' Vine' 5\n29987 ' Viol' 5\n29988 ' Virt' 5\n29989 ' Visa' 5\n29990 ' Vita' 5\n29991 ' Vive' 5\n29992 ' Vlad' 5\n29993 ' Void' 5\n29994 ' Voor' 5\n29995 ' Vote' 5\n29996 ' Vous' 5\n29997 ' WARN' 5\n29998 ' WHAT' 5\n29999 ' WHEN' 5\n30000 ' WILL' 5\n30001 ' WITH' 5\n30002 ' WORK' 5\n30003 ' Wade' 5\n30004 ' Wahl' 5\n30005 ' Wait' 5\n30006 ' Wake' 5\n30007 ' Wald' 5\n30008 ' Walk' 5\n30009 ' Wall' 5\n30010 ' Walt' 5\n30011 ' Wang' 5\n30012 ' Want' 5\n30013 ' Ward' 5\n30014 ' Ware' 5\n30015 ' Warm' 5\n30016 ' Wars' 5\n30017 ' Wash' 5\n30018 ' Wass' 5\n30019 ' Wave' 5\n30020 ' Ways' 5\n30021 ' Weak' 5\n30022 ' Webb' 5\n30023 ' Week' 5\n30024 ' Wein' 5\n30025 ' Well' 5\n30026 ' Welt' 5\n30027 ' Wend' 5\n30028 ' Went' 5\n30029 ' Were' 5\n30030 ' West' 5\n30031 ' What' 5\n30032 ' When' 5\n30033 ' Whit' 5\n30034 ' WiFi' 5\n30035 ' Wick' 5\n30036 ' Wide' 5\n30037 ' Wien' 5\n30038 ' Wife' 5\n30039 ' Wiki' 5\n30040 ' Wild' 5\n30041 ' Will' 5\n30042 ' Wind' 5\n30043 ' Wine' 5\n30044 ' Wing' 5\n30045 ' Winn' 5\n30046 ' Wins' 5\n30047 ' Wire' 5\n30048 ' Wise' 5\n30049 ' Wish' 5\n30050 ' With' 5\n30051 ' Witt' 5\n30052 ' Wolf' 5\n30053 ' Wong' 5\n30054 ' Wood' 5\n30055 ' Wool' 5\n30056 ' Word' 5\n30057 ' Work' 5\n30058 ' Wort' 5\n30059 ' Wrap' 5\n30060 ' Writ' 5\n30061 ' Wür' 5\n30062 ' XIII' 5\n30063 ' Xbox' 5\n30064 ' YORK' 5\n30065 ' YOUR' 5\n30066 ' Yale' 5\n30067 ' Yang' 5\n30068 ' Yard' 5\n30069 ' Yeah' 5\n30070 ' Year' 5\n30071 ' Ying' 5\n30072 ' Yoga' 5\n30073 ' Yong' 5\n30074 ' York' 5\n30075 ' Yosh' 5\n30076 ' Your' 5\n30077 ' Yuan' 5\n30078 ' Zach' 5\n30079 ' Zack' 5\n30080 ' Zeit' 5\n30081 ' Zend' 5\n30082 ' Zero' 5\n30083 ' Zeus' 5\n30084 ' Zhao' 5\n30085 ' Zhou' 5\n30086 ' Ziel' 5\n30087 ' Zion' 5\n30088 ' Zone' 5\n30089 ' Zoom' 5\n30090 ' Zür' 5\n30091 ' ____' 5\n30092 ' aber' 5\n30093 ' able' 5\n30094 ' abol' 5\n30095 ' abst' 5\n30096 ' acab' 5\n30097 ' acad' 5\n30098 ' acet' 5\n30099 ' ache' 5\n30100 ' acid' 5\n30101 ' acne' 5\n30102 ' acqu' 5\n30103 ' acre' 5\n30104 ' acts' 5\n30105 ' actu' 5\n30106 ' adam' 5\n30107 ' adap' 5\n30108 ' addr' 5\n30109 ' adds' 5\n30110 ' aden' 5\n30111 ' adip' 5\n30112 ' adop' 5\n30113 ' adul' 5\n30114 ' aest' 5\n30115 ' afin' 5\n30116 ' agar' 5\n30117 ' aged' 5\n30118 ' ages' 5\n30119 ' agon' 5\n30120 ' agre' 5\n30121 ' agua' 5\n30122 ' ahí' 5\n30123 ' aide' 5\n30124 ' aids' 5\n30125 ' aims' 5\n30126 ' airs' 5\n30127 ' ajax' 5\n30128 ' akin' 5\n30129 ' alex' 5\n30130 ' algo' 5\n30131 ' alla' 5\n30132 ' alle' 5\n30133 ' allo' 5\n30134 ' ally' 5\n30135 ' also' 5\n30136 ' alta' 5\n30137 ' alto' 5\n30138 ' alum' 5\n30139 ' amaz' 5\n30140 ' amen' 5\n30141 ' amer' 5\n30142 ' amet' 5\n30143 ' amid' 5\n30144 ' amin' 5\n30145 ' amor' 5\n30146 ' amph' 5\n30147 ' ampl' 5\n30148 ' anal' 5\n30149 ' anch' 5\n30150 ' ange' 5\n30151 ' angi' 5\n30152 ' anim' 5\n30153 ' anne' 5\n30154 ' anno' 5\n30155 ' anom' 5\n30156 ' anon' 5\n30157 ' anos' 5\n30158 ' ante' 5\n30159 ' anth' 5\n30160 ' anti' 5\n30161 ' ants' 5\n30162 ' apar' 5\n30163 ' apex' 5\n30164 ' appe' 5\n30165 ' appl' 5\n30166 ' apps' 5\n30167 ' apro' 5\n30168 ' aqui' 5\n30169 ' arab' 5\n30170 ' arbe' 5\n30171 ' arch' 5\n30172 ' arcs' 5\n30173 ' area' 5\n30174 ' aren' 5\n30175 ' argc' 5\n30176 ' args' 5\n30177 ' argu' 5\n30178 ' argv' 5\n30179 ' aria' 5\n30180 ' arms' 5\n30181 ' army' 5\n30182 ' arom' 5\n30183 ' arte' 5\n30184 ' arth' 5\n30185 ' arts' 5\n30186 ' asks' 5\n30187 ' astr' 5\n30188 ' asym' 5\n30189 ' así' 5\n30190 ' athe' 5\n30191 ' atom' 5\n30192 ' atop' 5\n30193 ' atte' 5\n30194 ' attr' 5\n30195 ' até' 5\n30196 ' auch' 5\n30197 ' audi' 5\n30198 ' aunt' 5\n30199 ' aura' 5\n30200 ' aure' 5\n30201 ' auss' 5\n30202 ' aust' 5\n30203 ' auth' 5\n30204 ' auto' 5\n30205 ' aval' 5\n30206 ' avec' 5\n30207 ' aven' 5\n30208 ' aver' 5\n30209 ' avez' 5\n30210 ' avid' 5\n30211 ' away' 5\n30212 ' axes' 5\n30213 ' axis' 5\n30214 ' año' 5\n30215 ' aún' 5\n30216 ' babe' 5\n30217 ' baby' 5\n30218 ' back' 5\n30219 ' baff' 5\n30220 ' bags' 5\n30221 ' bail' 5\n30222 ' bait' 5\n30223 ' bajo' 5\n30224 ' bake' 5\n30225 ' bald' 5\n30226 ' ball' 5\n30227 ' banc' 5\n30228 ' band' 5\n30229 ' bang' 5\n30230 ' bank' 5\n30231 ' bans' 5\n30232 ' bapt' 5\n30233 ' bara' 5\n30234 ' bard' 5\n30235 ' bare' 5\n30236 ' barg' 5\n30237 ' bark' 5\n30238 ' barn' 5\n30239 ' barr' 5\n30240 ' bars' 5\n30241 ' bart' 5\n30242 ' bary' 5\n30243 ' base' 5\n30244 ' bash' 5\n30245 ' bass' 5\n30246 ' bast' 5\n30247 ' bath' 5\n30248 ' bats' 5\n30249 ' batt' 5\n30250 ' baş' 5\n30251 ' bbox' 5\n30252 ' bead' 5\n30253 ' beam' 5\n30254 ' bean' 5\n30255 ' bear' 5\n30256 ' beat' 5\n30257 ' beds' 5\n30258 ' beef' 5\n30259 ' been' 5\n30260 ' beer' 5\n30261 ' bees' 5\n30262 ' beet' 5\n30263 ' beim' 5\n30264 ' bell' 5\n30265 ' belt' 5\n30266 ' bend' 5\n30267 ' bene' 5\n30268 ' bent' 5\n30269 ' benz' 5\n30270 ' bere' 5\n30271 ' berg' 5\n30272 ' bert' 5\n30273 ' best' 5\n30274 ' beta' 5\n30275 ' bets' 5\n30276 ' bias' 5\n30277 ' bicy' 5\n30278 ' bids' 5\n30279 ' bien' 5\n30280 ' bike' 5\n30281 ' bild' 5\n30282 ' bile' 5\n30283 ' bill' 5\n30284 ' bind' 5\n30285 ' bins' 5\n30286 ' biod' 5\n30287 ' biom' 5\n30288 ' bios' 5\n30289 ' bird' 5\n30290 ' bisc' 5\n30291 ' bist' 5\n30292 ' bite' 5\n30293 ' bits' 5\n30294 ' blah' 5\n30295 ' blat' 5\n30296 ' blew' 5\n30297 ' blob' 5\n30298 ' bloc' 5\n30299 ' blog' 5\n30300 ' blot' 5\n30301 ' blow' 5\n30302 ' blue' 5\n30303 ' blur' 5\n30304 ' boat' 5\n30305 ' body' 5\n30306 ' boil' 5\n30307 ' bois' 5\n30308 ' bold' 5\n30309 ' bolt' 5\n30310 ' bomb' 5\n30311 ' bona' 5\n30312 ' bond' 5\n30313 ' bone' 5\n30314 ' book' 5\n30315 ' bool' 5\n30316 ' boom' 5\n30317 ' boot' 5\n30318 ' bord' 5\n30319 ' bore' 5\n30320 ' born' 5\n30321 ' boss' 5\n30322 ' both' 5\n30323 ' boto' 5\n30324 ' bots' 5\n30325 ' bott' 5\n30326 ' bour' 5\n30327 ' bout' 5\n30328 ' bowl' 5\n30329 ' boys' 5\n30330 ' bran' 5\n30331 ' bras' 5\n30332 ' brav' 5\n30333 ' bred' 5\n30334 ' bree' 5\n30335 ' brew' 5\n30336 ' brid' 5\n30337 ' brig' 5\n30338 ' brit' 5\n30339 ' brom' 5\n30340 ' bron' 5\n30341 ' brow' 5\n30342 ' brut' 5\n30343 ' buck' 5\n30344 ' buds' 5\n30345 ' buff' 5\n30346 ' bugs' 5\n30347 ' bulb' 5\n30348 ' bulk' 5\n30349 ' bull' 5\n30350 ' bump' 5\n30351 ' bund' 5\n30352 ' bunk' 5\n30353 ' buoy' 5\n30354 ' bure' 5\n30355 ' burg' 5\n30356 ' burn' 5\n30357 ' bury' 5\n30358 ' bush' 5\n30359 ' bust' 5\n30360 ' busy' 5\n30361 ' butt' 5\n30362 ' buys' 5\n30363 ' buzz' 5\n30364 ' byte' 5\n30365 ' być' 5\n30366 ' był' 5\n30367 ' bás' 5\n30368 ' bât' 5\n30369 ' bör' 5\n30370 ' będ' 5\n30371 ' bị' 5\n30372 ' cabe' 5\n30373 ' cada' 5\n30374 ' cade' 5\n30375 ' cafe' 5\n30376 ' cage' 5\n30377 ' cake' 5\n30378 ' calc' 5\n30379 ' calf' 5\n30380 ' call' 5\n30381 ' calm' 5\n30382 ' camb' 5\n30383 ' came' 5\n30384 ' camp' 5\n30385 ' canc' 5\n30386 ' cand' 5\n30387 ' cane' 5\n30388 ' cann' 5\n30389 ' cans' 5\n30390 ' cant' 5\n30391 ' canv' 5\n30392 ' caps' 5\n30393 ' capt' 5\n30394 ' cara' 5\n30395 ' carb' 5\n30396 ' carc' 5\n30397 ' card' 5\n30398 ' care' 5\n30399 ' carn' 5\n30400 ' carp' 5\n30401 ' cars' 5\n30402 ' cart' 5\n30403 ' casa' 5\n30404 ' casc' 5\n30405 ' case' 5\n30406 ' cash' 5\n30407 ' casi' 5\n30408 ' caso' 5\n30409 ' cass' 5\n30410 ' cast' 5\n30411 ' cate' 5\n30412 ' cath' 5\n30413 ' cats' 5\n30414 ' caud' 5\n30415 ' caus' 5\n30416 ' caut' 5\n30417 ' cave' 5\n30418 ' cał' 5\n30419 ' ceil' 5\n30420 ' cela' 5\n30421 ' cele' 5\n30422 ' cell' 5\n30423 ' cens' 5\n30424 ' cent' 5\n30425 ' cere' 5\n30426 ' cert' 5\n30427 ' cerv' 5\n30428 ' cess' 5\n30429 ' ceux' 5\n30430 ' cham' 5\n30431 ' chan' 5\n30432 ' chap' 5\n30433 ' char' 5\n30434 ' chat' 5\n30435 ' chef' 5\n30436 ' chem' 5\n30437 ' cher' 5\n30438 ' chez' 5\n30439 ' chic' 5\n30440 ' chim' 5\n30441 ' chin' 5\n30442 ' chip' 5\n30443 ' chir' 5\n30444 ' chol' 5\n30445 ' chop' 5\n30446 ' chor' 5\n30447 ' circ' 5\n30448 ' cite' 5\n30449 ' city' 5\n30450 ' clad' 5\n30451 ' clam' 5\n30452 ' clan' 5\n30453 ' clar' 5\n30454 ' clas' 5\n30455 ' claw' 5\n30456 ' clay' 5\n30457 ' cler' 5\n30458 ' clim' 5\n30459 ' clin' 5\n30460 ' clip' 5\n30461 ' clos' 5\n30462 ' clot' 5\n30463 ' club' 5\n30464 ' clue' 5\n30465 ' coal' 5\n30466 ' coat' 5\n30467 ' cock' 5\n30468 ' coco' 5\n30469 ' code' 5\n30470 ' coer' 5\n30471 ' coff' 5\n30472 ' cogn' 5\n30473 ' coil' 5\n30474 ' coin' 5\n30475 ' cold' 5\n30476 ' cole' 5\n30477 ' coli' 5\n30478 ' coll' 5\n30479 ' cols' 5\n30480 ' coma' 5\n30481 ' comb' 5\n30482 ' come' 5\n30483 ' comm' 5\n30484 ' como' 5\n30485 ' comp' 5\n30486 ' conc' 5\n30487 ' cond' 5\n30488 ' cone' 5\n30489 ' conf' 5\n30490 ' cong' 5\n30491 ' conj' 5\n30492 ' conn' 5\n30493 ' cons' 5\n30494 ' cont' 5\n30495 ' conv' 5\n30496 ' cook' 5\n30497 ' cool' 5\n30498 ' cope' 5\n30499 ' cops' 5\n30500 ' copy' 5\n30501 ' cord' 5\n30502 ' core' 5\n30503 ' corn' 5\n30504 ' corp' 5\n30505 ' corr' 5\n30506 ' cors' 5\n30507 ' cort' 5\n30508 ' cosa' 5\n30509 ' cosm' 5\n30510 ' cost' 5\n30511 ' coun' 5\n30512 ' coup' 5\n30513 ' cour' 5\n30514 ' cous' 5\n30515 ' cout' 5\n30516 ' cows' 5\n30517 ' cozy' 5\n30518 ' crab' 5\n30519 ' cran' 5\n30520 ' crap' 5\n30521 ' craw' 5\n30522 ' cred' 5\n30523 ' cres' 5\n30524 ' crew' 5\n30525 ' crim' 5\n30526 ' cris' 5\n30527 ' crit' 5\n30528 ' cron' 5\n30529 ' crop' 5\n30530 ' cros' 5\n30531 ' crow' 5\n30532 ' cruc' 5\n30533 ' crus' 5\n30534 ' cré' 5\n30535 ' ctrl' 5\n30536 ' cual' 5\n30537 ' cube' 5\n30538 ' cuer' 5\n30539 ' cues' 5\n30540 ' cuff' 5\n30541 ' cuid' 5\n30542 ' culp' 5\n30543 ' cult' 5\n30544 ' cups' 5\n30545 ' curb' 5\n30546 ' cure' 5\n30547 ' curl' 5\n30548 ' curr' 5\n30549 ' curs' 5\n30550 ' curt' 5\n30551 ' curv' 5\n30552 ' cush' 5\n30553 ' cust' 5\n30554 ' cute' 5\n30555 ' cuts' 5\n30556 ' cyan' 5\n30557 ' cycl' 5\n30558 ' cyst' 5\n30559 ' czę' 5\n30560 ' czł' 5\n30561 ' các' 5\n30562 ' cél' 5\n30563 ' cím' 5\n30564 ' côt' 5\n30565 ' cả' 5\n30566 ' daar' 5\n30567 ' dado' 5\n30568 ' damn' 5\n30569 ' damp' 5\n30570 ' dams' 5\n30571 ' dang' 5\n30572 ' dann' 5\n30573 ' dans' 5\n30574 ' dare' 5\n30575 ' dark' 5\n30576 ' dart' 5\n30577 ' dash' 5\n30578 ' dass' 5\n30579 ' data' 5\n30580 ' date' 5\n30581 ' dawn' 5\n30582 ' days' 5\n30583 ' dazz' 5\n30584 ' daß' 5\n30585 ' dead' 5\n30586 ' deaf' 5\n30587 ' deal' 5\n30588 ' dear' 5\n30589 ' debe' 5\n30590 ' debt' 5\n30591 ' dece' 5\n30592 ' deck' 5\n30593 ' decl' 5\n30594 ' deco' 5\n30595 ' deed' 5\n30596 ' deem' 5\n30597 ' deep' 5\n30598 ' deer' 5\n30599 ' defe' 5\n30600 ' deix' 5\n30601 ' dele' 5\n30602 ' deli' 5\n30603 ' dell' 5\n30604 ' demi' 5\n30605 ' demo' 5\n30606 ' dend' 5\n30607 ' denn' 5\n30608 ' dens' 5\n30609 ' dent' 5\n30610 ' deny' 5\n30611 ' dere' 5\n30612 ' desc' 5\n30613 ' dese' 5\n30614 ' desk' 5\n30615 ' desp' 5\n30616 ' dess' 5\n30617 ' dest' 5\n30618 ' detr' 5\n30619 ' deut' 5\n30620 ' deux' 5\n30621 ' deve' 5\n30622 ' devi' 5\n30623 ' deze' 5\n30624 ' diag' 5\n30625 ' dial' 5\n30626 ' diam' 5\n30627 ' dias' 5\n30628 ' dice' 5\n30629 ' dich' 5\n30630 ' dici' 5\n30631 ' dick' 5\n30632 ' dict' 5\n30633 ' didn' 5\n30634 ' died' 5\n30635 ' dies' 5\n30636 ' diet' 5\n30637 ' diff' 5\n30638 ' dign' 5\n30639 ' dijo' 5\n30640 ' dile' 5\n30641 ' dims' 5\n30642 ' ding' 5\n30643 ' dipl' 5\n30644 ' dire' 5\n30645 ' dirt' 5\n30646 ' disc' 5\n30647 ' dise' 5\n30648 ' disg' 5\n30649 ' dish' 5\n30650 ' disk' 5\n30651 ' disp' 5\n30652 ' diss' 5\n30653 ' dist' 5\n30654 ' dive' 5\n30655 ' doch' 5\n30656 ' dock' 5\n30657 ' docs' 5\n30658 ' doct' 5\n30659 ' does' 5\n30660 ' dogs' 5\n30661 ' dois' 5\n30662 ' doit' 5\n30663 ' doll' 5\n30664 ' dome' 5\n30665 ' donc' 5\n30666 ' done' 5\n30667 ' donn' 5\n30668 ' dont' 5\n30669 ' doom' 5\n30670 ' door' 5\n30671 ' dorm' 5\n30672 ' dors' 5\n30673 ' dort' 5\n30674 ' dose' 5\n30675 ' dots' 5\n30676 ' doub' 5\n30677 ' dove' 5\n30678 ' down' 5\n30679 ' drag' 5\n30680 ' dram' 5\n30681 ' draw' 5\n30682 ' drei' 5\n30683 ' drew' 5\n30684 ' driv' 5\n30685 ' drop' 5\n30686 ' drug' 5\n30687 ' drum' 5\n30688 ' dual' 5\n30689 ' duas' 5\n30690 ' duck' 5\n30691 ' duct' 5\n30692 ' dude' 5\n30693 ' dues' 5\n30694 ' duke' 5\n30695 ' dull' 5\n30696 ' dumb' 5\n30697 ' dump' 5\n30698 ' dusk' 5\n30699 ' dust' 5\n30700 ' duty' 5\n30701 ' duż' 5\n30702 ' dwar' 5\n30703 ' dyst' 5\n30704 ' där' 5\n30705 ' dès' 5\n30706 ' déb' 5\n30707 ' déc' 5\n30708 ' déf' 5\n30709 ' dél' 5\n30710 ' dém' 5\n30711 ' dép' 5\n30712 ' dér' 5\n30713 ' dés' 5\n30714 ' dét' 5\n30715 ' día' 5\n30716 ' död' 5\n30717 ' dür' 5\n30718 ' eBay' 5\n30719 ' each' 5\n30720 ' earn' 5\n30721 ' ears' 5\n30722 ' ease' 5\n30723 ' east' 5\n30724 ' easy' 5\n30725 ' eats' 5\n30726 ' eben' 5\n30727 ' echo' 5\n30728 ' econ' 5\n30729 ' edge' 5\n30730 ' edit' 5\n30731 ' educ' 5\n30732 ' eggs' 5\n30733 ' eine' 5\n30734 ' eing' 5\n30735 ' ejec' 5\n30736 ' eleg' 5\n30737 ' elem' 5\n30738 ' elev' 5\n30739 ' elic' 5\n30740 ' elif' 5\n30741 ' elig' 5\n30742 ' elim' 5\n30743 ' elit' 5\n30744 ' ella' 5\n30745 ' elle' 5\n30746 ' else' 5\n30747 ' elő' 5\n30748 ' eman' 5\n30749 ' embr' 5\n30750 ' emit' 5\n30751 ' emot' 5\n30752 ' emph' 5\n30753 ' empt' 5\n30754 ' encl' 5\n30755 ' ende' 5\n30756 ' endl' 5\n30757 ' ends' 5\n30758 ' enem' 5\n30759 ' ener' 5\n30760 ' enjo' 5\n30761 ' enqu' 5\n30762 ' ense' 5\n30763 ' entr' 5\n30764 ' enum' 5\n30765 ' envi' 5\n30766 ' envy' 5\n30767 ' epic' 5\n30768 ' epid' 5\n30769 ' epis' 5\n30770 ' epit' 5\n30771 ' erad' 5\n30772 ' eros' 5\n30773 ' erre' 5\n30774 ' erro' 5\n30775 ' erst' 5\n30776 ' espa' 5\n30777 ' essa' 5\n30778 ' esse' 5\n30779 ' esta' 5\n30780 ' este' 5\n30781 ' esto' 5\n30782 ' estr' 5\n30783 ' ethn' 5\n30784 ' etwa' 5\n30785 ' euro' 5\n30786 ' evac' 5\n30787 ' eval' 5\n30788 ' even' 5\n30789 ' ever' 5\n30790 ' evid' 5\n30791 ' evil' 5\n30792 ' evol' 5\n30793 ' exam' 5\n30794 ' exec' 5\n30795 ' exem' 5\n30796 ' exer' 5\n30797 ' exha' 5\n30798 ' exit' 5\n30799 ' exon' 5\n30800 ' expl' 5\n30801 ' expr' 5\n30802 ' extr' 5\n30803 ' eyeb' 5\n30804 ' eyed' 5\n30805 ' eyel' 5\n30806 ' eyes' 5\n30807 ' face' 5\n30808 ' fact' 5\n30809 ' fade' 5\n30810 ' fail' 5\n30811 ' fair' 5\n30812 ' fais' 5\n30813 ' fait' 5\n30814 ' fake' 5\n30815 ' fall' 5\n30816 ' fals' 5\n30817 ' fame' 5\n30818 ' fanc' 5\n30819 ' fans' 5\n30820 ' fant' 5\n30821 ' fare' 5\n30822 ' farm' 5\n30823 ' fart' 5\n30824 ' fasc' 5\n30825 ' fase' 5\n30826 ' fast' 5\n30827 ' fate' 5\n30828 ' fats' 5\n30829 ' faut' 5\n30830 ' faux' 5\n30831 ' faç' 5\n30832 ' fear' 5\n30833 ' feas' 5\n30834 ' feat' 5\n30835 ' feed' 5\n30836 ' feel' 5\n30837 ' fees' 5\n30838 ' feet' 5\n30839 ' fell' 5\n30840 ' felt' 5\n30841 ' ferm' 5\n30842 ' fern' 5\n30843 ' ferr' 5\n30844 ' fert' 5\n30845 ' ferv' 5\n30846 ' fest' 5\n30847 ' feud' 5\n30848 ' fian' 5\n30849 ' fibr' 5\n30850 ' fich' 5\n30851 ' fict' 5\n30852 ' fier' 5\n30853 ' file' 5\n30854 ' fill' 5\n30855 ' film' 5\n30856 ' fils' 5\n30857 ' filt' 5\n30858 ' find' 5\n30859 ' fine' 5\n30860 ' fing' 5\n30861 ' fino' 5\n30862 ' fins' 5\n30863 ' fire' 5\n30864 ' firm' 5\n30865 ' fish' 5\n30866 ' fiss' 5\n30867 ' fist' 5\n30868 ' fits' 5\n30869 ' five' 5\n30870 ' flag' 5\n30871 ' flap' 5\n30872 ' flat' 5\n30873 ' flav' 5\n30874 ' flaw' 5\n30875 ' fled' 5\n30876 ' flee' 5\n30877 ' flew' 5\n30878 ' flex' 5\n30879 ' flip' 5\n30880 ' flor' 5\n30881 ' flow' 5\n30882 ' flux' 5\n30883 ' foam' 5\n30884 ' foil' 5\n30885 ' fois' 5\n30886 ' fold' 5\n30887 ' folk' 5\n30888 ' foll' 5\n30889 ' fond' 5\n30890 ' font' 5\n30891 ' food' 5\n30892 ' fool' 5\n30893 ' foot' 5\n30894 ' forb' 5\n30895 ' forc' 5\n30896 ' fore' 5\n30897 ' forg' 5\n30898 ' fork' 5\n30899 ' form' 5\n30900 ' fors' 5\n30901 ' fort' 5\n30902 ' foss' 5\n30903 ' fost' 5\n30904 ' foul' 5\n30905 ' four' 5\n30906 ' fout' 5\n30907 ' frac' 5\n30908 ' frag' 5\n30909 ' fram' 5\n30910 ' fran' 5\n30911 ' free' 5\n30912 ' fren' 5\n30913 ' freq' 5\n30914 ' fres' 5\n30915 ' fret' 5\n30916 ' frog' 5\n30917 ' from' 5\n30918 ' fron' 5\n30919 ' frü' 5\n30920 ' fuck' 5\n30921 ' fuel' 5\n30922 ' fuer' 5\n30923 ' full' 5\n30924 ' func' 5\n30925 ' fund' 5\n30926 ' fung' 5\n30927 ' furn' 5\n30928 ' fury' 5\n30929 ' fuse' 5\n30930 ' fuss' 5\n30931 ' får' 5\n30932 ' fís' 5\n30933 ' föl' 5\n30934 ' för' 5\n30935 ' før' 5\n30936 ' fün' 5\n30937 ' für' 5\n30938 ' gain' 5\n30939 ' gall' 5\n30940 ' gamb' 5\n30941 ' game' 5\n30942 ' gang' 5\n30943 ' ganz' 5\n30944 ' gaps' 5\n30945 ' gard' 5\n30946 ' garn' 5\n30947 ' gast' 5\n30948 ' gate' 5\n30949 ' gave' 5\n30950 ' gays' 5\n30951 ' gaze' 5\n30952 ' gear' 5\n30953 ' geen' 5\n30954 ' geht' 5\n30955 ' geld' 5\n30956 ' geme' 5\n30957 ' gems' 5\n30958 ' gene' 5\n30959 ' gens' 5\n30960 ' gent' 5\n30961 ' genu' 5\n30962 ' geom' 5\n30963 ' germ' 5\n30964 ' gest' 5\n30965 ' gets' 5\n30966 ' gibt' 5\n30967 ' gift' 5\n30968 ' gigg' 5\n30969 ' gilt' 5\n30970 ' ging' 5\n30971 ' girl' 5\n30972 ' give' 5\n30973 ' già' 5\n30974 ' giá' 5\n30975 ' glac' 5\n30976 ' glad' 5\n30977 ' glam' 5\n30978 ' glob' 5\n30979 ' glor' 5\n30980 ' glow' 5\n30981 ' gluc' 5\n30982 ' glue' 5\n30983 ' glut' 5\n30984 ' glyc' 5\n30985 ' goal' 5\n30986 ' goat' 5\n30987 ' gods' 5\n30988 ' goes' 5\n30989 ' gold' 5\n30990 ' golf' 5\n30991 ' gone' 5\n30992 ' good' 5\n30993 ' goog' 5\n30994 ' goto' 5\n30995 ' gown' 5\n30996 ' grab' 5\n30997 ' grac' 5\n30998 ' grad' 5\n30999 ' graf' 5\n31000 ' gram' 5\n31001 ' gran' 5\n31002 ' grap' 5\n31003 ' gras' 5\n31004 ' grat' 5\n31005 ' grav' 5\n31006 ' gray' 5\n31007 ' graz' 5\n31008 ' gren' 5\n31009 ' grep' 5\n31010 ' grew' 5\n31011 ' grey' 5\n31012 ' grid' 5\n31013 ' grim' 5\n31014 ' grin' 5\n31015 ' grip' 5\n31016 ' gros' 5\n31017 ' grow' 5\n31018 ' grup' 5\n31019 ' grö' 5\n31020 ' guid' 5\n31021 ' guns' 5\n31022 ' guru' 5\n31023 ' gust' 5\n31024 ' guts' 5\n31025 ' guys' 5\n31026 ' gymn' 5\n31027 ' gyro' 5\n31028 ' gzip' 5\n31029 ' går' 5\n31030 ' gén' 5\n31031 ' gör' 5\n31032 ' habe' 5\n31033 ' hace' 5\n31034 ' hack' 5\n31035 ' hade' 5\n31036 ' hadn' 5\n31037 ' haem' 5\n31038 ' hail' 5\n31039 ' hair' 5\n31040 ' half' 5\n31041 ' hall' 5\n31042 ' halo' 5\n31043 ' halt' 5\n31044 ' hand' 5\n31045 ' hang' 5\n31046 ' happ' 5\n31047 ' harb' 5\n31048 ' hard' 5\n31049 ' harm' 5\n31050 ' hash' 5\n31051 ' hasn' 5\n31052 ' hass' 5\n31053 ' hast' 5\n31054 ' hate' 5\n31055 ' hath' 5\n31056 ' hats' 5\n31057 ' haul' 5\n31058 ' haut' 5\n31059 ' have' 5\n31060 ' head' 5\n31061 ' heal' 5\n31062 ' heap' 5\n31063 ' hear' 5\n31064 ' heat' 5\n31065 ' heav' 5\n31066 ' heck' 5\n31067 ' hect' 5\n31068 ' heel' 5\n31069 ' heir' 5\n31070 ' held' 5\n31071 ' hell' 5\n31072 ' helm' 5\n31073 ' help' 5\n31074 ' hemp' 5\n31075 ' herb' 5\n31076 ' herd' 5\n31077 ' here' 5\n31078 ' hero' 5\n31079 ' hers' 5\n31080 ' hide' 5\n31081 ' hier' 5\n31082 ' high' 5\n31083 ' hijo' 5\n31084 ' hike' 5\n31085 ' hill' 5\n31086 ' hind' 5\n31087 ' hint' 5\n31088 ' hipp' 5\n31089 ' hips' 5\n31090 ' hire' 5\n31091 ' hist' 5\n31092 ' hits' 5\n31093 ' hizo' 5\n31094 ' hoax' 5\n31095 ' hogy' 5\n31096 ' hoje' 5\n31097 ' hold' 5\n31098 ' hole' 5\n31099 ' holy' 5\n31100 ' home' 5\n31101 ' hone' 5\n31102 ' hood' 5\n31103 ' hook' 5\n31104 ' hope' 5\n31105 ' hops' 5\n31106 ' hora' 5\n31107 ' horm' 5\n31108 ' horn' 5\n31109 ' hors' 5\n31110 ' hose' 5\n31111 ' hosp' 5\n31112 ' host' 5\n31113 ' hour' 5\n31114 ' hous' 5\n31115 ' href' 5\n31116 ' html' 5\n31117 ' http' 5\n31118 ' huge' 5\n31119 ' hull' 5\n31120 ' hung' 5\n31121 ' hunt' 5\n31122 ' hurd' 5\n31123 ' hurt' 5\n31124 ' hust' 5\n31125 ' hydr' 5\n31126 ' hype' 5\n31127 ' hypo' 5\n31128 ' här' 5\n31129 ' hät' 5\n31130 ' hög' 5\n31131 ' họ' 5\n31132 ' iPad' 5\n31133 ' iPod' 5\n31134 ' icon' 5\n31135 ' idea' 5\n31136 ' idle' 5\n31137 ' idol' 5\n31138 ' idé' 5\n31139 ' idő' 5\n31140 ' ihre' 5\n31141 ' ikke' 5\n31142 ' imag' 5\n31143 ' imdb' 5\n31144 ' impe' 5\n31145 ' impl' 5\n31146 ' impr' 5\n31147 ' inch' 5\n31148 ' incl' 5\n31149 ' inco' 5\n31150 ' inde' 5\n31151 ' indu' 5\n31152 ' inev' 5\n31153 ' inex' 5\n31154 ' infl' 5\n31155 ' info' 5\n31156 ' init' 5\n31157 ' inoc' 5\n31158 ' inqu' 5\n31159 ' insp' 5\n31160 ' inst' 5\n31161 ' inte' 5\n31162 ' into' 5\n31163 ' intr' 5\n31164 ' ints' 5\n31165 ' intu' 5\n31166 ' invo' 5\n31167 ' ions' 5\n31168 ' iris' 5\n31169 ' iron' 5\n31170 ' irre' 5\n31171 ' isol' 5\n31172 ' isot' 5\n31173 ' isso' 5\n31174 ' issu' 5\n31175 ' ital' 5\n31176 ' item' 5\n31177 ' iter' 5\n31178 ' jack' 5\n31179 ' jail' 5\n31180 ' jars' 5\n31181 ' java' 5\n31182 ' jaws' 5\n31183 ' jazz' 5\n31184 ' jerk' 5\n31185 ' jest' 5\n31186 ' jets' 5\n31187 ' jobs' 5\n31188 ' john' 5\n31189 ' join' 5\n31190 ' joke' 5\n31191 ' jour' 5\n31192 ' json' 5\n31193 ' juin' 5\n31194 ' jump' 5\n31195 ' jung' 5\n31196 ' junk' 5\n31197 ' jury' 5\n31198 ' just' 5\n31199 ' już' 5\n31200 ' kale' 5\n31201 ' kann' 5\n31202 ' kans' 5\n31203 ' każ' 5\n31204 ' keen' 5\n31205 ' keep' 5\n31206 ' kein' 5\n31207 ' kept' 5\n31208 ' kern' 5\n31209 ' keys' 5\n31210 ' kick' 5\n31211 ' kidn' 5\n31212 ' kids' 5\n31213 ' kill' 5\n31214 ' kind' 5\n31215 ' king' 5\n31216 ' kiss' 5\n31217 ' kits' 5\n31218 ' klub' 5\n31219 ' knee' 5\n31220 ' knew' 5\n31221 ' knit' 5\n31222 ' knot' 5\n31223 ' know' 5\n31224 ' kole' 5\n31225 ' komm' 5\n31226 ' kont' 5\n31227 ' kost' 5\n31228 ' kró' 5\n31229 ' któ' 5\n31230 ' két' 5\n31231 ' kön' 5\n31232 ' kör' 5\n31233 ' köz' 5\n31234 ' kül' 5\n31235 ' labs' 5\n31236 ' lace' 5\n31237 ' lack' 5\n31238 ' lact' 5\n31239 ' lado' 5\n31240 ' lady' 5\n31241 ' laid' 5\n31242 ' lake' 5\n31243 ' lakh' 5\n31244 ' lamb' 5\n31245 ' lame' 5\n31246 ' lamp' 5\n31247 ' land' 5\n31248 ' lane' 5\n31249 ' lang' 5\n31250 ' lanz' 5\n31251 ' laps' 5\n31252 ' lapt' 5\n31253 ' larg' 5\n31254 ' last' 5\n31255 ' late' 5\n31256 ' laun' 5\n31257 ' lava' 5\n31258 ' lawn' 5\n31259 ' laws' 5\n31260 ' lays' 5\n31261 ' lazy' 5\n31262 ' lead' 5\n31263 ' leaf' 5\n31264 ' leak' 5\n31265 ' lean' 5\n31266 ' leap' 5\n31267 ' lear' 5\n31268 ' lect' 5\n31269 ' left' 5\n31270 ' legs' 5\n31271 ' lend' 5\n31272 ' leng' 5\n31273 ' lens' 5\n31274 ' lent' 5\n31275 ' lept' 5\n31276 ' lesb' 5\n31277 ' less' 5\n31278 ' lest' 5\n31279 ' leth' 5\n31280 ' lets' 5\n31281 ' lett' 5\n31282 ' leuc' 5\n31283 ' leuk' 5\n31284 ' leur' 5\n31285 ' leve' 5\n31286 ' liar' 5\n31287 ' libr' 5\n31288 ' libs' 5\n31289 ' lied' 5\n31290 ' lien' 5\n31291 ' lies' 5\n31292 ' lieu' 5\n31293 ' life' 5\n31294 ' lift' 5\n31295 ' lign' 5\n31296 ' like' 5\n31297 ' limb' 5\n31298 ' lime' 5\n31299 ' limp' 5\n31300 ' line' 5\n31301 ' ling' 5\n31302 ' link' 5\n31303 ' lion' 5\n31304 ' lips' 5\n31305 ' liqu' 5\n31306 ' lire' 5\n31307 ' list' 5\n31308 ' lith' 5\n31309 ' litt' 5\n31310 ' live' 5\n31311 ' llam' 5\n31312 ' lleg' 5\n31313 ' llev' 5\n31314 ' load' 5\n31315 ' loaf' 5\n31316 ' loan' 5\n31317 ' lobe' 5\n31318 ' loci' 5\n31319 ' lock' 5\n31320 ' logo' 5\n31321 ' logs' 5\n31322 ' lone' 5\n31323 ' long' 5\n31324 ' look' 5\n31325 ' loop' 5\n31326 ' loos' 5\n31327 ' loot' 5\n31328 ' lord' 5\n31329 ' lore' 5\n31330 ' loro' 5\n31331 ' lors' 5\n31332 ' lose' 5\n31333 ' loss' 5\n31334 ' lost' 5\n31335 ' lots' 5\n31336 ' loud' 5\n31337 ' love' 5\n31338 ' luck' 5\n31339 ' lump' 5\n31340 ' lung' 5\n31341 ' lure' 5\n31342 ' lush' 5\n31343 ' lust' 5\n31344 ' lute' 5\n31345 ' làm' 5\n31346 ' län' 5\n31347 ' lég' 5\n31348 ' mRNA' 5\n31349 ' maar' 5\n31350 ' mach' 5\n31351 ' made' 5\n31352 ' mage' 5\n31353 ' magn' 5\n31354 ' maid' 5\n31355 ' mail' 5\n31356 ' main' 5\n31357 ' mais' 5\n31358 ' make' 5\n31359 ' male' 5\n31360 ' mall' 5\n31361 ' malt' 5\n31362 ' mamm' 5\n31363 ' mana' 5\n31364 ' mand' 5\n31365 ' mane' 5\n31366 ' mang' 5\n31367 ' mano' 5\n31368 ' mans' 5\n31369 ' mant' 5\n31370 ' many' 5\n31371 ' maps' 5\n31372 ' marc' 5\n31373 ' mare' 5\n31374 ' marg' 5\n31375 ' mari' 5\n31376 ' mark' 5\n31377 ' mars' 5\n31378 ' mart' 5\n31379 ' masc' 5\n31380 ' mash' 5\n31381 ' mask' 5\n31382 ' mass' 5\n31383 ' mast' 5\n31384 ' mate' 5\n31385 ' math' 5\n31386 ' mats' 5\n31387 ' matt' 5\n31388 ' mayo' 5\n31389 ' maze' 5\n31390 ' meal' 5\n31391 ' mean' 5\n31392 ' meas' 5\n31393 ' meat' 5\n31394 ' mech' 5\n31395 ' medi' 5\n31396 ' meer' 5\n31397 ' meet' 5\n31398 ' mega' 5\n31399 ' mehr' 5\n31400 ' mell' 5\n31401 ' melt' 5\n31402 ' memb' 5\n31403 ' meme' 5\n31404 ' memo' 5\n31405 ' mend' 5\n31406 ' mens' 5\n31407 ' ment' 5\n31408 ' menu' 5\n31409 ' merc' 5\n31410 ' mere' 5\n31411 ' merg' 5\n31412 ' mesa' 5\n31413 ' mesh' 5\n31414 ' mess' 5\n31415 ' mest' 5\n31416 ' meta' 5\n31417 ' meth' 5\n31418 ' mice' 5\n31419 ' mich' 5\n31420 ' midi' 5\n31421 ' migr' 5\n31422 ' mild' 5\n31423 ' mile' 5\n31424 ' milk' 5\n31425 ' mill' 5\n31426 ' mime' 5\n31427 ' mind' 5\n31428 ' mine' 5\n31429 ' ming' 5\n31430 ' mini' 5\n31431 ' mins' 5\n31432 ' mint' 5\n31433 ' misc' 5\n31434 ' mise' 5\n31435 ' mish' 5\n31436 ' mism' 5\n31437 ' miss' 5\n31438 ' mist' 5\n31439 ' mitt' 5\n31440 ' mmol' 5\n31441 ' mock' 5\n31442 ' mode' 5\n31443 ' modo' 5\n31444 ' mods' 5\n31445 ' mois' 5\n31446 ' mold' 5\n31447 ' mole' 5\n31448 ' moll' 5\n31449 ' molt' 5\n31450 ' mond' 5\n31451 ' mong' 5\n31452 ' monk' 5\n31453 ' mono' 5\n31454 ' mont' 5\n31455 ' mood' 5\n31456 ' moon' 5\n31457 ' moot' 5\n31458 ' more' 5\n31459 ' mort' 5\n31460 ' moss' 5\n31461 ' most' 5\n31462 ' moth' 5\n31463 ' mour' 5\n31464 ' move' 5\n31465 ' moż' 5\n31466 ' much' 5\n31467 ' muff' 5\n31468 ' muit' 5\n31469 ' mult' 5\n31470 ' mund' 5\n31471 ' murm' 5\n31472 ' muse' 5\n31473 ' mush' 5\n31474 ' muss' 5\n31475 ' must' 5\n31476 ' mute' 5\n31477 ' myst' 5\n31478 ' myth' 5\n31479 ' már' 5\n31480 ' más' 5\n31481 ' mãe' 5\n31482 ' mån' 5\n31483 ' méd' 5\n31484 ' még' 5\n31485 ' mél' 5\n31486 ' mér' 5\n31487 ' més' 5\n31488 ' mét' 5\n31489 ' mês' 5\n31490 ' mín' 5\n31491 ' mús' 5\n31492 ' naar' 5\n31493 ' nach' 5\n31494 ' nada' 5\n31495 ' nail' 5\n31496 ' name' 5\n31497 ' nano' 5\n31498 ' narc' 5\n31499 ' narr' 5\n31500 ' nave' 5\n31501 ' navy' 5\n31502 ' naï' 5\n31503 ' near' 5\n31504 ' neat' 5\n31505 ' neck' 5\n31506 ' need' 5\n31507 ' neon' 5\n31508 ' nerv' 5\n31509 ' nest' 5\n31510 ' nets' 5\n31511 ' neue' 5\n31512 ' neur' 5\n31513 ' neut' 5\n31514 ' news' 5\n31515 ' next' 5\n31516 ' nhà' 5\n31517 ' như' 5\n31518 ' nice' 5\n31519 ' nick' 5\n31520 ' niet' 5\n31521 ' nine' 5\n31522 ' ning' 5\n31523 ' niż' 5\n31524 ' noch' 5\n31525 ' noct' 5\n31526 ' node' 5\n31527 ' nome' 5\n31528 ' nond' 5\n31529 ' none' 5\n31530 ' nons' 5\n31531 ' nood' 5\n31532 ' noon' 5\n31533 ' nord' 5\n31534 ' norm' 5\n31535 ' nort' 5\n31536 ' nose' 5\n31537 ' nost' 5\n31538 ' nota' 5\n31539 ' note' 5\n31540 ' noun' 5\n31541 ' nour' 5\n31542 ' nous' 5\n31543 ' nova' 5\n31544 ' novo' 5\n31545 ' nude' 5\n31546 ' nuit' 5\n31547 ' null' 5\n31548 ' numa' 5\n31549 ' numb' 5\n31550 ' nurs' 5\n31551 ' nurt' 5\n31552 ' nuts' 5\n31553 ' này' 5\n31554 ' não' 5\n31555 ' när' 5\n31556 ' når' 5\n31557 ' nég' 5\n31558 ' nós' 5\n31559 ' năm' 5\n31560 ' oath' 5\n31561 ' obed' 5\n31562 ' ober' 5\n31563 ' obey' 5\n31564 ' obra' 5\n31565 ' obsc' 5\n31566 ' obst' 5\n31567 ' ocas' 5\n31568 ' ocup' 5\n31569 ' odds' 5\n31570 ' oder' 5\n31571 ' odor' 5\n31572 ' ohne' 5\n31573 ' oils' 5\n31574 ' okay' 5\n31575 ' olig' 5\n31576 ' omin' 5\n31577 ' omit' 5\n31578 ' once' 5\n31579 ' onde' 5\n31580 ' ones' 5\n31581 ' only' 5\n31582 ' onto' 5\n31583 ' open' 5\n31584 ' oper' 5\n31585 ' opin' 5\n31586 ' opio' 5\n31587 ' opts' 5\n31588 ' oral' 5\n31589 ' orch' 5\n31590 ' orig' 5\n31591 ' orth' 5\n31592 ' orç' 5\n31593 ' oslo' 5\n31594 ' oste' 5\n31595 ' otra' 5\n31596 ' otro' 5\n31597 ' ours' 5\n31598 ' outs' 5\n31599 ' oval' 5\n31600 ' oven' 5\n31601 ' over' 5\n31602 ' owed' 5\n31603 ' owes' 5\n31604 ' owns' 5\n31605 ' oxid' 5\n31606 ' pace' 5\n31607 ' pack' 5\n31608 ' pact' 5\n31609 ' padd' 5\n31610 ' pads' 5\n31611 ' page' 5\n31612 ' paid' 5\n31613 ' pain' 5\n31614 ' pair' 5\n31615 ' pale' 5\n31616 ' pall' 5\n31617 ' palm' 5\n31618 ' palp' 5\n31619 ' pals' 5\n31620 ' panc' 5\n31621 ' pand' 5\n31622 ' pane' 5\n31623 ' pans' 5\n31624 ' pant' 5\n31625 ' para' 5\n31626 ' parc' 5\n31627 ' pard' 5\n31628 ' pare' 5\n31629 ' pari' 5\n31630 ' park' 5\n31631 ' parl' 5\n31632 ' pars' 5\n31633 ' part' 5\n31634 ' paso' 5\n31635 ' pass' 5\n31636 ' past' 5\n31637 ' path' 5\n31638 ' pave' 5\n31639 ' pays' 5\n31640 ' peak' 5\n31641 ' pear' 5\n31642 ' peas' 5\n31643 ' peek' 5\n31644 ' peel' 5\n31645 ' peer' 5\n31646 ' pela' 5\n31647 ' pelo' 5\n31648 ' pend' 5\n31649 ' peng' 5\n31650 ' penn' 5\n31651 ' pens' 5\n31652 ' pent' 5\n31653 ' pept' 5\n31654 ' pequ' 5\n31655 ' perc' 5\n31656 ' perd' 5\n31657 ' perf' 5\n31658 ' peri' 5\n31659 ' perl' 5\n31660 ' perm' 5\n31661 ' pero' 5\n31662 ' pers' 5\n31663 ' pert' 5\n31664 ' peso' 5\n31665 ' pest' 5\n31666 ' pets' 5\n31667 ' peut' 5\n31668 ' phen' 5\n31669 ' phil' 5\n31670 ' phon' 5\n31671 ' phot' 5\n31672 ' phys' 5\n31673 ' pian' 5\n31674 ' pick' 5\n31675 ' pics' 5\n31676 ' pict' 5\n31677 ' pied' 5\n31678 ' pier' 5\n31679 ' pies' 5\n31680 ' pige' 5\n31681 ' pigs' 5\n31682 ' pile' 5\n31683 ' pill' 5\n31684 ' pine' 5\n31685 ' ping' 5\n31686 ' pink' 5\n31687 ' pins' 5\n31688 ' pint' 5\n31689 ' pipe' 5\n31690 ' piss' 5\n31691 ' pist' 5\n31692 ' pits' 5\n31693 ' pity' 5\n31694 ' piè' 5\n31695 ' più' 5\n31696 ' pił' 5\n31697 ' plac' 5\n31698 ' plag' 5\n31699 ' plan' 5\n31700 ' plas' 5\n31701 ' plat' 5\n31702 ' play' 5\n31703 ' plea' 5\n31704 ' pled' 5\n31705 ' plot' 5\n31706 ' plug' 5\n31707 ' plum' 5\n31708 ' plur' 5\n31709 ' plus' 5\n31710 ' plut' 5\n31711 ' poco' 5\n31712 ' pode' 5\n31713 ' pods' 5\n31714 ' poem' 5\n31715 ' poet' 5\n31716 ' pois' 5\n31717 ' pole' 5\n31718 ' poll' 5\n31719 ' poly' 5\n31720 ' pomp' 5\n31721 ' pond' 5\n31722 ' pont' 5\n31723 ' pony' 5\n31724 ' pool' 5\n31725 ' poor' 5\n31726 ' pope' 5\n31727 ' pops' 5\n31728 ' pore' 5\n31729 ' pork' 5\n31730 ' porn' 5\n31731 ' port' 5\n31732 ' pose' 5\n31733 ' poss' 5\n31734 ' post' 5\n31735 ' pots' 5\n31736 ' pour' 5\n31737 ' poč' 5\n31738 ' poł' 5\n31739 ' prac' 5\n31740 ' prag' 5\n31741 ' pray' 5\n31742 ' prec' 5\n31743 ' pred' 5\n31744 ' pref' 5\n31745 ' preg' 5\n31746 ' prem' 5\n31747 ' prep' 5\n31748 ' pres' 5\n31749 ' pret' 5\n31750 ' prev' 5\n31751 ' prey' 5\n31752 ' prez' 5\n31753 ' prim' 5\n31754 ' prin' 5\n31755 ' pris' 5\n31756 ' priv' 5\n31757 ' prix' 5\n31758 ' prob' 5\n31759 ' proc' 5\n31760 ' prod' 5\n31761 ' prof' 5\n31762 ' prog' 5\n31763 ' proj' 5\n31764 ' prol' 5\n31765 ' prom' 5\n31766 ' pron' 5\n31767 ' prop' 5\n31768 ' pros' 5\n31769 ' prot' 5\n31770 ' prov' 5\n31771 ' prow' 5\n31772 ' prox' 5\n31773 ' prud' 5\n31774 ' prá' 5\n31775 ' pré' 5\n31776 ' pró' 5\n31777 ' prü' 5\n31778 ' publ' 5\n31779 ' puck' 5\n31780 ' pued' 5\n31781 ' puff' 5\n31782 ' puis' 5\n31783 ' pull' 5\n31784 ' pulp' 5\n31785 ' puls' 5\n31786 ' pump' 5\n31787 ' punk' 5\n31788 ' punt' 5\n31789 ' pure' 5\n31790 ' purs' 5\n31791 ' push' 5\n31792 ' puts' 5\n31793 ' puzz' 5\n31794 ' può' 5\n31795 ' pén' 5\n31796 ' për' 5\n31797 ' při' 5\n31798 ' quad' 5\n31799 ' qual' 5\n31800 ' quar' 5\n31801 ' quas' 5\n31802 ' qued' 5\n31803 ' quel' 5\n31804 ' quem' 5\n31805 ' quer' 5\n31806 ' quil' 5\n31807 ' quir' 5\n31808 ' quit' 5\n31809 ' quiz' 5\n31810 ' quot' 5\n31811 ' qué' 5\n31812 ' rabb' 5\n31813 ' race' 5\n31814 ' rack' 5\n31815 ' radi' 5\n31816 ' raft' 5\n31817 ' rage' 5\n31818 ' raid' 5\n31819 ' rail' 5\n31820 ' rain' 5\n31821 ' rall' 5\n31822 ' ramp' 5\n31823 ' rand' 5\n31824 ' rang' 5\n31825 ' rank' 5\n31826 ' rape' 5\n31827 ' rapp' 5\n31828 ' rare' 5\n31829 ' rash' 5\n31830 ' rate' 5\n31831 ' rats' 5\n31832 ' ratt' 5\n31833 ' rays' 5\n31834 ' read' 5\n31835 ' real' 5\n31836 ' reap' 5\n31837 ' rear' 5\n31838 ' rece' 5\n31839 ' reck' 5\n31840 ' recl' 5\n31841 ' reco' 5\n31842 ' rect' 5\n31843 ' recv' 5\n31844 ' redd' 5\n31845 ' rede' 5\n31846 ' redu' 5\n31847 ' reef' 5\n31848 ' reel' 5\n31849 ' refr' 5\n31850 ' refs' 5\n31851 ' rehe' 5\n31852 ' rein' 5\n31853 ' rejo' 5\n31854 ' rele' 5\n31855 ' reli' 5\n31856 ' rely' 5\n31857 ' rend' 5\n31858 ' rent' 5\n31859 ' repe' 5\n31860 ' repl' 5\n31861 ' repo' 5\n31862 ' repr' 5\n31863 ' reps' 5\n31864 ' rept' 5\n31865 ' requ' 5\n31866 ' resc' 5\n31867 ' rese' 5\n31868 ' resh' 5\n31869 ' resp' 5\n31870 ' ress' 5\n31871 ' rest' 5\n31872 ' retr' 5\n31873 ' reun' 5\n31874 ' reve' 5\n31875 ' rgba' 5\n31876 ' rhet' 5\n31877 ' ribs' 5\n31878 ' rice' 5\n31879 ' rich' 5\n31880 ' ride' 5\n31881 ' rien' 5\n31882 ' ries' 5\n31883 ' ring' 5\n31884 ' riot' 5\n31885 ' ripe' 5\n31886 ' rise' 5\n31887 ' risk' 5\n31888 ' road' 5\n31889 ' roar' 5\n31890 ' robe' 5\n31891 ' rock' 5\n31892 ' rode' 5\n31893 ' rods' 5\n31894 ' role' 5\n31895 ' roll' 5\n31896 ' rond' 5\n31897 ' roof' 5\n31898 ' room' 5\n31899 ' root' 5\n31900 ' rope' 5\n31901 ' rose' 5\n31902 ' rout' 5\n31903 ' rows' 5\n31904 ' ruby' 5\n31905 ' rude' 5\n31906 ' ruin' 5\n31907 ' rule' 5\n31908 ' runs' 5\n31909 ' rupt' 5\n31910 ' rush' 5\n31911 ' russ' 5\n31912 ' rust' 5\n31913 ' ruth' 5\n31914 ' ráp' 5\n31915 ' règ' 5\n31916 ' rég' 5\n31917 ' rép' 5\n31918 ' rés' 5\n31919 ' río' 5\n31920 ' röm' 5\n31921 ' rör' 5\n31922 ' sabe' 5\n31923 ' sack' 5\n31924 ' sacr' 5\n31925 ' sadd' 5\n31926 ' safe' 5\n31927 ' saga' 5\n31928 ' sage' 5\n31929 ' said' 5\n31930 ' sail' 5\n31931 ' sais' 5\n31932 ' sake' 5\n31933 ' sala' 5\n31934 ' sale' 5\n31935 ' salt' 5\n31936 ' salv' 5\n31937 ' same' 5\n31938 ' sand' 5\n31939 ' sane' 5\n31940 ' sang' 5\n31941 ' sank' 5\n31942 ' sans' 5\n31943 ' sant' 5\n31944 ' sarc' 5\n31945 ' sare' 5\n31946 ' save' 5\n31947 ' says' 5\n31948 ' scal' 5\n31949 ' scam' 5\n31950 ' scan' 5\n31951 ' scar' 5\n31952 ' scen' 5\n31953 ' sche' 5\n31954 ' schw' 5\n31955 ' scor' 5\n31956 ' scra' 5\n31957 ' seal' 5\n31958 ' seam' 5\n31959 ' seas' 5\n31960 ' seat' 5\n31961 ' seaw' 5\n31962 ' secs' 5\n31963 ' sect' 5\n31964 ' sede' 5\n31965 ' seed' 5\n31966 ' seek' 5\n31967 ' seem' 5\n31968 ' seen' 5\n31969 ' sees' 5\n31970 ' segu' 5\n31971 ' sehr' 5\n31972 ' sein' 5\n31973 ' seis' 5\n31974 ' seit' 5\n31975 ' seiz' 5\n31976 ' seja' 5\n31977 ' sele' 5\n31978 ' self' 5\n31979 ' sell' 5\n31980 ' semi' 5\n31981 ' send' 5\n31982 ' sens' 5\n31983 ' sent' 5\n31984 ' sept' 5\n31985 ' sequ' 5\n31986 ' sera' 5\n31987 ' serv' 5\n31988 ' sess' 5\n31989 ' sets' 5\n31990 ' sett' 5\n31991 ' seul' 5\n31992 ' seus' 5\n31993 ' sexo' 5\n31994 ' sexy' 5\n31995 ' señ' 5\n31996 ' sham' 5\n31997 ' shar' 5\n31998 ' shed' 5\n31999 ' shel' 5\n32000 ' sher' 5\n32001 ' ship' 5\n32002 ' shit' 5\n32003 ' shoe' 5\n32004 ' shop' 5\n32005 ' shot' 5\n32006 ' show' 5\n32007 ' shri' 5\n32008 ' shut' 5\n32009 ' sich' 5\n32010 ' sick' 5\n32011 ' side' 5\n32012 ' sido' 5\n32013 ' sigh' 5\n32014 ' sign' 5\n32015 ' sigu' 5\n32016 ' silk' 5\n32017 ' sill' 5\n32018 ' simp' 5\n32019 ' sinc' 5\n32020 ' sind' 5\n32021 ' sine' 5\n32022 ' sing' 5\n32023 ' sink' 5\n32024 ' sino' 5\n32025 ' sins' 5\n32026 ' sint' 5\n32027 ' sist' 5\n32028 ' site' 5\n32029 ' sits' 5\n32030 ' situ' 5\n32031 ' size' 5\n32032 ' siè' 5\n32033 ' się' 5\n32034 ' sjö' 5\n32035 ' skal' 5\n32036 ' sket' 5\n32037 ' skew' 5\n32038 ' skim' 5\n32039 ' skin' 5\n32040 ' skip' 5\n32041 ' slab' 5\n32042 ' slam' 5\n32043 ' slap' 5\n32044 ' slee' 5\n32045 ' slew' 5\n32046 ' slic' 5\n32047 ' slid' 5\n32048 ' slim' 5\n32049 ' slip' 5\n32050 ' slit' 5\n32051 ' slog' 5\n32052 ' slot' 5\n32053 ' slow' 5\n32054 ' slug' 5\n32055 ' slut' 5\n32056 ' slä' 5\n32057 ' snap' 5\n32058 ' snow' 5\n32059 ' soak' 5\n32060 ' soap' 5\n32061 ' soci' 5\n32062 ' sock' 5\n32063 ' soda' 5\n32064 ' sofa' 5\n32065 ' soft' 5\n32066 ' soil' 5\n32067 ' soir' 5\n32068 ' soit' 5\n32069 ' sold' 5\n32070 ' sole' 5\n32071 ' soll' 5\n32072 ' solo' 5\n32073 ' soma' 5\n32074 ' some' 5\n32075 ' song' 5\n32076 ' sono' 5\n32077 ' sons' 5\n32078 ' sont' 5\n32079 ' soon' 5\n32080 ' soph' 5\n32081 ' sore' 5\n32082 ' sort' 5\n32083 ' sost' 5\n32084 ' soul' 5\n32085 ' soup' 5\n32086 ' sour' 5\n32087 ' sous' 5\n32088 ' sout' 5\n32089 ' spac' 5\n32090 ' spam' 5\n32091 ' span' 5\n32092 ' spar' 5\n32093 ' spat' 5\n32094 ' spec' 5\n32095 ' sper' 5\n32096 ' spin' 5\n32097 ' spir' 5\n32098 ' spit' 5\n32099 ' spor' 5\n32100 ' spot' 5\n32101 ' spre' 5\n32102 ' spun' 5\n32103 ' spur' 5\n32104 ' spé' 5\n32105 ' sqrt' 5\n32106 ' sque' 5\n32107 ' stab' 5\n32108 ' stag' 5\n32109 ' stal' 5\n32110 ' stan' 5\n32111 ' star' 5\n32112 ' stat' 5\n32113 ' stay' 5\n32114 ' stem' 5\n32115 ' step' 5\n32116 ' ster' 5\n32117 ' stew' 5\n32118 ' stim' 5\n32119 ' stip' 5\n32120 ' stir' 5\n32121 ' stmt' 5\n32122 ' stop' 5\n32123 ' stor' 5\n32124 ' stra' 5\n32125 ' stre' 5\n32126 ' stri' 5\n32127 ' stro' 5\n32128 ' stru' 5\n32129 ' stub' 5\n32130 ' stud' 5\n32131 ' stup' 5\n32132 ' styl' 5\n32133 ' suas' 5\n32134 ' subj' 5\n32135 ' subm' 5\n32136 ' subs' 5\n32137 ' subt' 5\n32138 ' succ' 5\n32139 ' such' 5\n32140 ' suck' 5\n32141 ' sudo' 5\n32142 ' sued' 5\n32143 ' suff' 5\n32144 ' sugg' 5\n32145 ' suic' 5\n32146 ' suis' 5\n32147 ' suit' 5\n32148 ' suiv' 5\n32149 ' sulf' 5\n32150 ' summ' 5\n32151 ' sums' 5\n32152 ' sund' 5\n32153 ' sung' 5\n32154 ' sunk' 5\n32155 ' sunt' 5\n32156 ' supp' 5\n32157 ' sure' 5\n32158 ' surf' 5\n32159 ' surg' 5\n32160 ' surv' 5\n32161 ' susp' 5\n32162 ' sust' 5\n32163 ' svě' 5\n32164 ' swap' 5\n32165 ' sway' 5\n32166 ' swim' 5\n32167 ' syll' 5\n32168 ' symb' 5\n32169 ' symp' 5\n32170 ' sync' 5\n32171 ' synd' 5\n32172 ' synt' 5\n32173 ' syst' 5\n32174 ' szó' 5\n32175 ' são' 5\n32176 ' són' 5\n32177 ' sûr' 5\n32178 ' süd' 5\n32179 ' sẽ' 5\n32180 ' số' 5\n32181 ' sự' 5\n32182 ' tabs' 5\n32183 ' tack' 5\n32184 ' tact' 5\n32185 ' tags' 5\n32186 ' tail' 5\n32187 ' take' 5\n32188 ' tale' 5\n32189 ' talk' 5\n32190 ' tall' 5\n32191 ' tamb' 5\n32192 ' tame' 5\n32193 ' tamp' 5\n32194 ' tang' 5\n32195 ' tank' 5\n32196 ' tant' 5\n32197 ' tape' 5\n32198 ' taps' 5\n32199 ' tard' 5\n32200 ' targ' 5\n32201 ' tart' 5\n32202 ' task' 5\n32203 ' tast' 5\n32204 ' taxa' 5\n32205 ' taxi' 5\n32206 ' tbsp' 5\n32207 ' team' 5\n32208 ' tear' 5\n32209 ' tech' 5\n32210 ' tecn' 5\n32211 ' teen' 5\n32212 ' tele' 5\n32213 ' tell' 5\n32214 ' tema' 5\n32215 ' temp' 5\n32216 ' tend' 5\n32217 ' tens' 5\n32218 ' tent' 5\n32219 ' term' 5\n32220 ' tern' 5\n32221 ' terr' 5\n32222 ' tert' 5\n32223 ' test' 5\n32224 ' text' 5\n32225 ' też' 5\n32226 ' than' 5\n32227 ' that' 5\n32228 ' thee' 5\n32229 ' them' 5\n32230 ' then' 5\n32231 ' ther' 5\n32232 ' they' 5\n32233 ' thin' 5\n32234 ' this' 5\n32235 ' thor' 5\n32236 ' thou' 5\n32237 ' thro' 5\n32238 ' thru' 5\n32239 ' thus' 5\n32240 ' thé' 5\n32241 ' thì' 5\n32242 ' tick' 5\n32243 ' tide' 5\n32244 ' tidy' 5\n32245 ' tied' 5\n32246 ' tier' 5\n32247 ' ties' 5\n32248 ' tile' 5\n32249 ' till' 5\n32250 ' tilt' 5\n32251 ' time' 5\n32252 ' ting' 5\n32253 ' tint' 5\n32254 ' tiny' 5\n32255 ' tion' 5\n32256 ' tipo' 5\n32257 ' tips' 5\n32258 ' tire' 5\n32259 ' tiss' 5\n32260 ' toda' 5\n32261 ' todd' 5\n32262 ' todo' 5\n32263 ' toen' 5\n32264 ' toes' 5\n32265 ' togg' 5\n32266 ' told' 5\n32267 ' toll' 5\n32268 ' tomb' 5\n32269 ' tone' 5\n32270 ' tong' 5\n32271 ' tons' 5\n32272 ' took' 5\n32273 ' tool' 5\n32274 ' topo' 5\n32275 ' tops' 5\n32276 ' tore' 5\n32277 ' torn' 5\n32278 ' tort' 5\n32279 ' toss' 5\n32280 ' tour' 5\n32281 ' tous' 5\n32282 ' tout' 5\n32283 ' town' 5\n32284 ' toys' 5\n32285 ' tqdm' 5\n32286 ' trab' 5\n32287 ' trac' 5\n32288 ' trad' 5\n32289 ' trag' 5\n32290 ' traj' 5\n32291 ' tram' 5\n32292 ' tran' 5\n32293 ' trap' 5\n32294 ' tras' 5\n32295 ' trat' 5\n32296 ' trav' 5\n32297 ' tray' 5\n32298 ' tree' 5\n32299 ' trek' 5\n32300 ' trem' 5\n32301 ' tren' 5\n32302 ' tres' 5\n32303 ' trib' 5\n32304 ' trif' 5\n32305 ' trig' 5\n32306 ' trim' 5\n32307 ' trio' 5\n32308 ' trip' 5\n32309 ' trom' 5\n32310 ' trop' 5\n32311 ' trou' 5\n32312 ' trov' 5\n32313 ' true' 5\n32314 ' tube' 5\n32315 ' tudo' 5\n32316 ' tuna' 5\n32317 ' tune' 5\n32318 ' tung' 5\n32319 ' turb' 5\n32320 ' turf' 5\n32321 ' turn' 5\n32322 ' två' 5\n32323 ' twin' 5\n32324 ' type' 5\n32325 ' typo' 5\n32326 ' tão' 5\n32327 ' tät' 5\n32328 ' téc' 5\n32329 ' tém' 5\n32330 ' tér' 5\n32331 ' têm' 5\n32332 ' tít' 5\n32333 ' tôi' 5\n32334 ' tör' 5\n32335 ' từ' 5\n32336 ' ubic' 5\n32337 ' ugly' 5\n32338 ' uint' 5\n32339 ' ultr' 5\n32340 ' unde' 5\n32341 ' undo' 5\n32342 ' unic' 5\n32343 ' unit' 5\n32344 ' unix' 5\n32345 ' unle' 5\n32346 ' unos' 5\n32347 ' unto' 5\n32348 ' unus' 5\n32349 ' unve' 5\n32350 ' upon' 5\n32351 ' urge' 5\n32352 ' urls' 5\n32353 ' usar' 5\n32354 ' used' 5\n32355 ' user' 5\n32356 ' uses' 5\n32357 ' uter' 5\n32358 ' util' 5\n32359 ' uuid' 5\n32360 ' uży' 5\n32361 ' vacc' 5\n32362 ' vagu' 5\n32363 ' vain' 5\n32364 ' vale' 5\n32365 ' vals' 5\n32366 ' valu' 5\n32367 ' vamp' 5\n32368 ' vape' 5\n32369 ' vara' 5\n32370 ' vari' 5\n32371 ' vars' 5\n32372 ' vary' 5\n32373 ' vast' 5\n32374 ' veil' 5\n32375 ' vein' 5\n32376 ' vend' 5\n32377 ' vent' 5\n32378 ' verb' 5\n32379 ' verd' 5\n32380 ' vere' 5\n32381 ' verg' 5\n32382 ' verm' 5\n32383 ' vern' 5\n32384 ' vers' 5\n32385 ' vert' 5\n32386 ' very' 5\n32387 ' vess' 5\n32388 ' vest' 5\n32389 ' veto' 5\n32390 ' vibe' 5\n32391 ' vibr' 5\n32392 ' vice' 5\n32393 ' vict' 5\n32394 ' vida' 5\n32395 ' vide' 5\n32396 ' viel' 5\n32397 ' vier' 5\n32398 ' view' 5\n32399 ' vill' 5\n32400 ' vinc' 5\n32401 ' vind' 5\n32402 ' vine' 5\n32403 ' viol' 5\n32404 ' virt' 5\n32405 ' visa' 5\n32406 ' visc' 5\n32407 ' vita' 5\n32408 ' vivo' 5\n32409 ' void' 5\n32410 ' voir' 5\n32411 ' vois' 5\n32412 ' voll' 5\n32413 ' volt' 5\n32414 ' voor' 5\n32415 ' vote' 5\n32416 ' vous' 5\n32417 ' vrai' 5\n32418 ' vuel' 5\n32419 ' vào' 5\n32420 ' vál' 5\n32421 ' vão' 5\n32422 ' väl' 5\n32423 ' vär' 5\n32424 ' vår' 5\n32425 ' vég' 5\n32426 ' vér' 5\n32427 ' về' 5\n32428 ' waar' 5\n32429 ' wage' 5\n32430 ' wait' 5\n32431 ' wake' 5\n32432 ' walk' 5\n32433 ' wall' 5\n32434 ' wand' 5\n32435 ' want' 5\n32436 ' ward' 5\n32437 ' ware' 5\n32438 ' warm' 5\n32439 ' warn' 5\n32440 ' warp' 5\n32441 ' wars' 5\n32442 ' wart' 5\n32443 ' wary' 5\n32444 ' wash' 5\n32445 ' wasn' 5\n32446 ' wast' 5\n32447 ' wave' 5\n32448 ' ways' 5\n32449 ' weak' 5\n32450 ' weap' 5\n32451 ' wear' 5\n32452 ' webs' 5\n32453 ' weed' 5\n32454 ' week' 5\n32455 ' weil' 5\n32456 ' weit' 5\n32457 ' weld' 5\n32458 ' well' 5\n32459 ' wenn' 5\n32460 ' went' 5\n32461 ' werd' 5\n32462 ' were' 5\n32463 ' west' 5\n32464 ' what' 5\n32465 ' when' 5\n32466 ' whip' 5\n32467 ' whis' 5\n32468 ' whit' 5\n32469 ' whom' 5\n32470 ' wide' 5\n32471 ' wife' 5\n32472 ' wifi' 5\n32473 ' wiki' 5\n32474 ' wild' 5\n32475 ' will' 5\n32476 ' wilt' 5\n32477 ' wind' 5\n32478 ' wine' 5\n32479 ' wing' 5\n32480 ' wink' 5\n32481 ' wins' 5\n32482 ' wipe' 5\n32483 ' wird' 5\n32484 ' wire' 5\n32485 ' wise' 5\n32486 ' wish' 5\n32487 ' with' 5\n32488 ' wię' 5\n32489 ' woes' 5\n32490 ' wohl' 5\n32491 ' woke' 5\n32492 ' wolf' 5\n32493 ' woll' 5\n32494 ' wont' 5\n32495 ' wood' 5\n32496 ' wool' 5\n32497 ' word' 5\n32498 ' wore' 5\n32499 ' work' 5\n32500 ' worm' 5\n32501 ' worn' 5\n32502 ' wors' 5\n32503 ' wrap' 5\n32504 ' writ' 5\n32505 ' wür' 5\n32506 ' wła' 5\n32507 ' yaml' 5\n32508 ' yang' 5\n32509 ' yard' 5\n32510 ' yarn' 5\n32511 ' yeah' 5\n32512 ' year' 5\n32513 ' yell' 5\n32514 ' yoga' 5\n32515 ' your' 5\n32516 ' yuan' 5\n32517 ' zač' 5\n32518 ' zero' 5\n32519 ' zich' 5\n32520 ' zijn' 5\n32521 ' zinc' 5\n32522 ' zona' 5\n32523 ' zone' 5\n32524 ' zoom' 5\n32525 ' zwei' 5\n32526 ' zák' 5\n32527 ' §§' 5\n32528 ' Áng' 5\n32529 ' Års' 5\n32530 ' áll' 5\n32531 ' års' 5\n32532 ' çok' 5\n32533 ' éch' 5\n32534 ' équ' 5\n32535 ' étr' 5\n32536 ' înt' 5\n32537 ' öff' 5\n32538 ' öss' 5\n32539 ' öst' 5\n32540 ' últ' 5\n32541 ' đã' 5\n32542 ' đó' 5\n32543 ' ří' 5\n32544 ' Świ' 5\n32545 ' świ' 5\n32546 ' što' 5\n32547 ' αν' 5\n32548 ' κα' 5\n32549 ' με' 5\n32550 ' να' 5\n32551 ' πα' 5\n32552 ' συ' 5\n32553 ' τη' 5\n32554 ' το' 5\n32555 ' Ін' 5\n32556 ' Аб' 5\n32557 ' Ав' 5\n32558 ' Ад' 5\n32559 ' Ал' 5\n32560 ' Ан' 5\n32561 ' Ар' 5\n32562 ' Ба' 5\n32563 ' Бе' 5\n32564 ' Би' 5\n32565 ' Бо' 5\n32566 ' Бу' 5\n32567 ' Бы' 5\n32568 ' Бі' 5\n32569 ' Ва' 5\n32570 ' Ве' 5\n32571 ' Ви' 5\n32572 ' Во' 5\n32573 ' Вы' 5\n32574 ' Ві' 5\n32575 ' Га' 5\n32576 ' Ге' 5\n32577 ' Ги' 5\n32578 ' Го' 5\n32579 ' Гу' 5\n32580 ' Да' 5\n32581 ' Де' 5\n32582 ' Дж' 5\n32583 ' Ди' 5\n32584 ' До' 5\n32585 ' Ду' 5\n32586 ' Ев' 5\n32587 ' Жи' 5\n32588 ' За' 5\n32589 ' Из' 5\n32590 ' Ин' 5\n32591 ' Ис' 5\n32592 ' Йо' 5\n32593 ' Ка' 5\n32594 ' Ке' 5\n32595 ' Ки' 5\n32596 ' Ко' 5\n32597 ' Ку' 5\n32598 ' Ла' 5\n32599 ' Ле' 5\n32600 ' Ли' 5\n32601 ' Ло' 5\n32602 ' Лу' 5\n32603 ' Ль' 5\n32604 ' Лю' 5\n32605 ' Лі' 5\n32606 ' Ма' 5\n32607 ' Ме' 5\n32608 ' Ми' 5\n32609 ' Мо' 5\n32610 ' Му' 5\n32611 ' Мі' 5\n32612 ' На' 5\n32613 ' Не' 5\n32614 ' Ни' 5\n32615 ' Но' 5\n32616 ' Ні' 5\n32617 ' Об' 5\n32618 ' Од' 5\n32619 ' Он' 5\n32620 ' Ор' 5\n32621 ' Ос' 5\n32622 ' От' 5\n32623 ' Па' 5\n32624 ' Пе' 5\n32625 ' Пи' 5\n32626 ' По' 5\n32627 ' Пу' 5\n32628 ' Ра' 5\n32629 ' Ре' 5\n32630 ' Ри' 5\n32631 ' Ро' 5\n32632 ' Ру' 5\n32633 ' СП' 5\n32634 ' Са' 5\n32635 ' Се' 5\n32636 ' Си' 5\n32637 ' См' 5\n32638 ' Со' 5\n32639 ' Ср' 5\n32640 ' Ст' 5\n32641 ' Су' 5\n32642 ' Та' 5\n32643 ' Те' 5\n32644 ' Ти' 5\n32645 ' То' 5\n32646 ' Ту' 5\n32647 ' Уи' 5\n32648 ' Фа' 5\n32649 ' Фе' 5\n32650 ' Фи' 5\n32651 ' Фо' 5\n32652 ' Ха' 5\n32653 ' Хо' 5\n32654 ' Ху' 5\n32655 ' Це' 5\n32656 ' Ча' 5\n32657 ' Че' 5\n32658 ' Чи' 5\n32659 ' Ша' 5\n32660 ' Ши' 5\n32661 ' ав' 5\n32662 ' ад' 5\n32663 ' ак' 5\n32664 ' ал' 5\n32665 ' ан' 5\n32666 ' ар' 5\n32667 ' ат' 5\n32668 ' ба' 5\n32669 ' бе' 5\n32670 ' би' 5\n32671 ' бо' 5\n32672 ' бу' 5\n32673 ' бы' 5\n32674 ' бі' 5\n32675 ' ва' 5\n32676 ' ве' 5\n32677 ' вз' 5\n32678 ' ви' 5\n32679 ' во' 5\n32680 ' вс' 5\n32681 ' ву' 5\n32682 ' въ' 5\n32683 ' вы' 5\n32684 ' ві' 5\n32685 ' га' 5\n32686 ' гг' 5\n32687 ' ге' 5\n32688 ' ги' 5\n32689 ' го' 5\n32690 ' гу' 5\n32691 ' да' 5\n32692 ' де' 5\n32693 ' ди' 5\n32694 ' до' 5\n32695 ' др' 5\n32696 ' ду' 5\n32697 ' ді' 5\n32698 ' ен' 5\n32699 ' её' 5\n32700 ' же' 5\n32701 ' жи' 5\n32702 ' жі' 5\n32703 ' за' 5\n32704 ' зв' 5\n32705 ' зе' 5\n32706 ' зо' 5\n32707 ' зу' 5\n32708 ' зі' 5\n32709 ' иг' 5\n32710 ' из' 5\n32711 ' им' 5\n32712 ' ин' 5\n32713 ' ис' 5\n32714 ' их' 5\n32715 ' ию' 5\n32716 ' ка' 5\n32717 ' ки' 5\n32718 ' км' 5\n32719 ' ко' 5\n32720 ' ку' 5\n32721 ' къ' 5\n32722 ' кі' 5\n32723 ' ла' 5\n32724 ' ле' 5\n32725 ' ли' 5\n32726 ' ло' 5\n32727 ' лу' 5\n32728 ' лю' 5\n32729 ' лі' 5\n32730 ' ма' 5\n32731 ' ме' 5\n32732 ' ми' 5\n32733 ' мм' 5\n32734 ' мо' 5\n32735 ' му' 5\n32736 ' мы' 5\n32737 ' мя' 5\n32738 ' мі' 5\n32739 ' на' 5\n32740 ' не' 5\n32741 ' ни' 5\n32742 ' но' 5\n32743 ' ну' 5\n32744 ' ні' 5\n32745 ' об' 5\n32746 ' од' 5\n32747 ' ок' 5\n32748 ' он' 5\n32749 ' оп' 5\n32750 ' ор' 5\n32751 ' ос' 5\n32752 ' от' 5\n32753 ' па' 5\n32754 ' пе' 5\n32755 ' пи' 5\n32756 ' по' 5\n32757 ' пр' 5\n32758 ' пу' 5\n32759 ' пя' 5\n32760 ' пі' 5\n32761 ' ра' 5\n32762 ' ре' 5\n32763 ' ри' 5\n32764 ' ро' 5\n32765 ' ру' 5\n32766 ' ры' 5\n32767 ' ря' 5\n32768 ' рі' 5\n32769 ' са' 5\n32770 ' св' 5\n32771 ' се' 5\n32772 ' си' 5\n32773 ' ск' 5\n32774 ' сл' 5\n32775 ' см' 5\n32776 ' со' 5\n32777 ' сп' 5\n32778 ' ст' 5\n32779 ' су' 5\n32780 ' съ' 5\n32781 ' сы' 5\n32782 ' сі' 5\n32783 ' та' 5\n32784 ' те' 5\n32785 ' ти' 5\n32786 ' то' 5\n32787 ' тр' 5\n32788 ' ту' 5\n32789 ' ты' 5\n32790 ' тя' 5\n32791 ' уз' 5\n32792 ' ус' 5\n32793 ' фа' 5\n32794 ' фе' 5\n32795 ' фи' 5\n32796 ' фо' 5\n32797 ' фі' 5\n32798 ' ха' 5\n32799 ' хи' 5\n32800 ' хо' 5\n32801 ' це' 5\n32802 ' ци' 5\n32803 ' ць' 5\n32804 ' ці' 5\n32805 ' ча' 5\n32806 ' че' 5\n32807 ' чи' 5\n32808 ' чо' 5\n32809 ' чу' 5\n32810 ' ша' 5\n32811 ' ше' 5\n32812 ' ши' 5\n32813 ' ще' 5\n32814 ' що' 5\n32815 ' эк' 5\n32816 ' эт' 5\n32817 ' як' 5\n32818 ' із' 5\n32819 ' ім' 5\n32820 ' ін' 5\n32821 ' їх' 5\n32822 ' її' 5\n32823 ' је' 5\n32824 ' ју' 5\n32825 ' ње' 5\n32826 ' أن' 5\n32827 ' از' 5\n32828 ' اس' 5\n32829 ' ال' 5\n32830 ' ان' 5\n32831 ' ای' 5\n32832 ' با' 5\n32833 ' بر' 5\n32834 ' به' 5\n32835 ' در' 5\n32836 ' را' 5\n32837 ' عل' 5\n32838 ' في' 5\n32839 ' من' 5\n32840 ' می' 5\n32841 ' –,' 5\n32842 ' “[' 5\n32843 ' ….' 5\n32844 ' 😉' 5\n32845 ' 🙂' 5\n32846 '#####' 5\n32847 '())))' 5\n32848 '()));' 5\n32849 '(...)' 5\n32850 '*****' 5\n32851 ',...,' 5\n32852 '-----' 5\n32853 '.....' 5\n32854 '//*[@' 5\n32855 '=\"#\">' 5\n32856 '=\"../' 5\n32857 '=====' 5\n32858 'ABASE' 5\n32859 'ACION' 5\n32860 'ACTER' 5\n32861 'ADMIN' 5\n32862 'ALIGN' 5\n32863 'ALLOW' 5\n32864 'ALTER' 5\n32865 'AMPLE' 5\n32866 'ANNEL' 5\n32867 'ANTLR' 5\n32868 'APTER' 5\n32869 'ARGET' 5\n32870 'ARRAY' 5\n32871 'ASCII' 5\n32872 'ATING' 5\n32873 'ATION' 5\n32874 'ATIVE' 5\n32875 'ATURE' 5\n32876 'About' 5\n32877 'Above' 5\n32878 'Activ' 5\n32879 'Actor' 5\n32880 'Added' 5\n32881 'Addon' 5\n32882 'Admin' 5\n32883 'After' 5\n32884 'Again' 5\n32885 'Agent' 5\n32886 'Alarm' 5\n32887 'Album' 5\n32888 'Alert' 5\n32889 'Alias' 5\n32890 'Alice' 5\n32891 'Align' 5\n32892 'Alive' 5\n32893 'Allen' 5\n32894 'Alloc' 5\n32895 'Allow' 5\n32896 'Along' 5\n32897 'Alpha' 5\n32898 'Alter' 5\n32899 'Among' 5\n32900 'Analy' 5\n32901 'Andre' 5\n32902 'Angel' 5\n32903 'Angle' 5\n32904 'Apart' 5\n32905 'Apple' 5\n32906 'Apply' 5\n32907 'Appro' 5\n32908 'April' 5\n32909 'Arena' 5\n32910 'Arial' 5\n32911 'Armor' 5\n32912 'Array' 5\n32913 'Arrow' 5\n32914 'Asian' 5\n32915 'Asked' 5\n32916 'Asset' 5\n32917 'Async' 5\n32918 'Atlas' 5\n32919 'Attrs' 5\n32920 'Audio' 5\n32921 'Audit' 5\n32922 'Autom' 5\n32923 'Aware' 5\n32924 'Azure' 5\n32925 'BEGIN' 5\n32926 'BLACK' 5\n32927 'BLOCK' 5\n32928 'BOARD' 5\n32929 'BOOST' 5\n32930 'BUILD' 5\n32931 'Based' 5\n32932 'Basic' 5\n32933 'Batch' 5\n32934 'Beans' 5\n32935 'Begin' 5\n32936 'Being' 5\n32937 'Below' 5\n32938 'Berry' 5\n32939 'Billy' 5\n32940 'Birth' 5\n32941 'Black' 5\n32942 'Blank' 5\n32943 'Block' 5\n32944 'Blood' 5\n32945 'Board' 5\n32946 'Bonus' 5\n32947 'Books' 5\n32948 'Boost' 5\n32949 'Bound' 5\n32950 'Brain' 5\n32951 'Brand' 5\n32952 'Break' 5\n32953 'Brian' 5\n32954 'Brien' 5\n32955 'Bring' 5\n32956 'Broad' 5\n32957 'Brown' 5\n32958 'Brush' 5\n32959 'Build' 5\n32960 'Built' 5\n32961 'Bytes' 5\n32962 'Bạn' 5\n32963 'CACHE' 5\n32964 'CCESS' 5\n32965 'CDATA' 5\n32966 'CHANT' 5\n32967 'CHECK' 5\n32968 'CLAIM' 5\n32969 'CLASS' 5\n32970 'CLEAR' 5\n32971 'CLUDE' 5\n32972 'COLOR' 5\n32973 'CONST' 5\n32974 'COUNT' 5\n32975 'COVID' 5\n32976 'CRIPT' 5\n32977 'CRYPT' 5\n32978 'CTION' 5\n32979 'CTYPE' 5\n32980 'Cache' 5\n32981 'Calls' 5\n32982 'Carol' 5\n32983 'Catal' 5\n32984 'Catch' 5\n32985 'Cause' 5\n32986 'Cells' 5\n32987 'Chain' 5\n32988 'Chang' 5\n32989 'Chars' 5\n32990 'Chart' 5\n32991 'Check' 5\n32992 'Chief' 5\n32993 'Child' 5\n32994 'China' 5\n32995 'Chris' 5\n32996 'Chunk' 5\n32997 'Civil' 5\n32998 'Claim' 5\n32999 'Class' 5\n33000 'Clean' 5\n33001 'Clear' 5\n33002 'Click' 5\n33003 'Clock' 5\n33004 'Clone' 5\n33005 'Close' 5\n33006 'Cloud' 5\n33007 'Codec' 5\n33008 'Codes' 5\n33009 'Color' 5\n33010 'Combo' 5\n33011 'Compl' 5\n33012 'Const' 5\n33013 'Contr' 5\n33014 'Coord' 5\n33015 'Could' 5\n33016 'Count' 5\n33017 'Court' 5\n33018 'Cover' 5\n33019 'Craft' 5\n33020 'Creat' 5\n33021 'Cross' 5\n33022 'Crypt' 5\n33023 'Curve' 5\n33024 'Cycle' 5\n33025 'Cómo' 5\n33026 'DEBUG' 5\n33027 'DELAY' 5\n33028 'DEPTH' 5\n33029 'Daily' 5\n33030 'Dates' 5\n33031 'Datum' 5\n33032 'David' 5\n33033 'Davis' 5\n33034 'Death' 5\n33035 'Debug' 5\n33036 'Decor' 5\n33037 'Delay' 5\n33038 'Deleg' 5\n33039 'Delta' 5\n33040 'Dense' 5\n33041 'Depth' 5\n33042 'Digit' 5\n33043 'Dirty' 5\n33044 'Domin' 5\n33045 'Draft' 5\n33046 'Dream' 5\n33047 'Drive' 5\n33048 'Dummy' 5\n33049 'EMAIL' 5\n33050 'EMBER' 5\n33051 'EMENT' 5\n33052 'EMPTY' 5\n33053 'ENAME' 5\n33054 'ENCES' 5\n33055 'ENDER' 5\n33056 'ENGTH' 5\n33057 'ENTER' 5\n33058 'ENTRY' 5\n33059 'EQUAL' 5\n33060 'ERROR' 5\n33061 'ETHER' 5\n33062 'ETHOD' 5\n33063 'EVENT' 5\n33064 'EXIST' 5\n33065 'Early' 5\n33066 'Earth' 5\n33067 'Edges' 5\n33068 'Eight' 5\n33069 'Elect' 5\n33070 'Email' 5\n33071 'Embed' 5\n33072 'Emily' 5\n33073 'Empty' 5\n33074 'Enjoy' 5\n33075 'Enter' 5\n33076 'Entry' 5\n33077 'Epoch' 5\n33078 'Equal' 5\n33079 'Error' 5\n33080 'Estim' 5\n33081 'Evalu' 5\n33082 'Event' 5\n33083 'Every' 5\n33084 'Exact' 5\n33085 'Excel' 5\n33086 'Exist' 5\n33087 'Extra' 5\n33088 'FALSE' 5\n33089 'FAULT' 5\n33090 'FIELD' 5\n33091 'FILES' 5\n33092 'FIRST' 5\n33093 'FIXME' 5\n33094 'FLAGS' 5\n33095 'FLOAT' 5\n33096 'FOUND' 5\n33097 'FRAME' 5\n33098 'Faces' 5\n33099 'False' 5\n33100 'Fatal' 5\n33101 'Fault' 5\n33102 'Fetch' 5\n33103 'Field' 5\n33104 'Files' 5\n33105 'Final' 5\n33106 'First' 5\n33107 'Fixed' 5\n33108 'Flags' 5\n33109 'Flash' 5\n33110 'Float' 5\n33111 'Floor' 5\n33112 'Flush' 5\n33113 'Focus' 5\n33114 'Force' 5\n33115 'Forms' 5\n33116 'Forum' 5\n33117 'Found' 5\n33118 'Frame' 5\n33119 'Franc' 5\n33120 'Frank' 5\n33121 'Fresh' 5\n33122 'Front' 5\n33123 'GENER' 5\n33124 'GRAPH' 5\n33125 'GREEN' 5\n33126 'GRESS' 5\n33127 'GROUP' 5\n33128 'Games' 5\n33129 'Gamma' 5\n33130 'Gener' 5\n33131 'Genre' 5\n33132 'Georg' 5\n33133 'Getty' 5\n33134 'Ghost' 5\n33135 'Given' 5\n33136 'Glyph' 5\n33137 'Going' 5\n33138 'Grade' 5\n33139 'Grand' 5\n33140 'Grant' 5\n33141 'Graph' 5\n33142 'Great' 5\n33143 'Greek' 5\n33144 'Green' 5\n33145 'Group' 5\n33146 'Guard' 5\n33147 'Guest' 5\n33148 'Guide' 5\n33149 'Guild' 5\n33150 'HTTPS' 5\n33151 'Happy' 5\n33152 'Harry' 5\n33153 'Heart' 5\n33154 'Heavy' 5\n33155 'Hello' 5\n33156 'Henry' 5\n33157 'Hotel' 5\n33158 'Hours' 5\n33159 'House' 5\n33160 'Hover' 5\n33161 'Human' 5\n33162 'Hydro' 5\n33163 'Hyper' 5\n33164 'IDDEN' 5\n33165 'IDDLE' 5\n33166 'IDENT' 5\n33167 'IFIED' 5\n33168 'ILITY' 5\n33169 'IMAGE' 5\n33170 'IMARY' 5\n33171 'INDEX' 5\n33172 'INESS' 5\n33173 'INPUT' 5\n33174 'INTER' 5\n33175 'ISHED' 5\n33176 'ISING' 5\n33177 'ISION' 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'Lexer' 5\n33237 'Light' 5\n33238 'Limit' 5\n33239 'Lines' 5\n33240 'Links' 5\n33241 'Linux' 5\n33242 'Lists' 5\n33243 'Liter' 5\n33244 'Local' 5\n33245 'Logic' 5\n33246 'Login' 5\n33247 'Looks' 5\n33248 'Louis' 5\n33249 'Lower' 5\n33250 'MATCH' 5\n33251 'MENTS' 5\n33252 'MODEL' 5\n33253 'MONTH' 5\n33254 'Macro' 5\n33255 'Magic' 5\n33256 'Major' 5\n33257 'Maker' 5\n33258 'March' 5\n33259 'Marco' 5\n33260 'Maria' 5\n33261 'Marie' 5\n33262 'Mario' 5\n33263 'Match' 5\n33264 'Maybe' 5\n33265 'Mayor' 5\n33266 'Means' 5\n33267 'Media' 5\n33268 'Merge' 5\n33269 'Metal' 5\n33270 'Meter' 5\n33271 'Miami' 5\n33272 'Micro' 5\n33273 'Minor' 5\n33274 'Mixed' 5\n33275 'Mixin' 5\n33276 'Modal' 5\n33277 'Model' 5\n33278 'Modes' 5\n33279 'Money' 5\n33280 'Mongo' 5\n33281 'Month' 5\n33282 'Motor' 5\n33283 'Mount' 5\n33284 'Mouse' 5\n33285 'Movie' 5\n33286 'Multi' 5\n33287 'Music' 5\n33288 'MySQL' 5\n33289 'Named' 5\n33290 'Names' 5\n33291 'Neill' 5\n33292 'Never' 5\n33293 'Night' 5\n33294 'Nodes' 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'Power' 5\n33354 'Press' 5\n33355 'Price' 5\n33356 'Prime' 5\n33357 'Print' 5\n33358 'Prior' 5\n33359 'Probe' 5\n33360 'Produ' 5\n33361 'Proof' 5\n33362 'Props' 5\n33363 'Proto' 5\n33364 'Proxy' 5\n33365 'Psych' 5\n33366 'QUERY' 5\n33367 'QUEST' 5\n33368 'Quant' 5\n33369 'Queen' 5\n33370 'Query' 5\n33371 'Quest' 5\n33372 'Queue' 5\n33373 'Quick' 5\n33374 'Quote' 5\n33375 'READY' 5\n33376 'REATE' 5\n33377 'RESET' 5\n33378 'RIGHT' 5\n33379 'ROUND' 5\n33380 'Radio' 5\n33381 'Raise' 5\n33382 'Range' 5\n33383 'Ratio' 5\n33384 'React' 5\n33385 'Ready' 5\n33386 'Refer' 5\n33387 'Regex' 5\n33388 'Reply' 5\n33389 'Reset' 5\n33390 'Retry' 5\n33391 'Right' 5\n33392 'River' 5\n33393 'Robin' 5\n33394 'Robot' 5\n33395 'Roger' 5\n33396 'Roles' 5\n33397 'Roman' 5\n33398 'Round' 5\n33399 'Route' 5\n33400 'Royal' 5\n33401 'Rules' 5\n33402 'SHIFT' 5\n33403 'SHORT' 5\n33404 'SPACE' 5\n33405 'SSION' 5\n33406 'STAND' 5\n33407 'START' 5\n33408 'STATE' 5\n33409 'STORE' 5\n33410 'STYLE' 5\n33411 'Saint' 5\n33412 'Sales' 5\n33413 'Santa' 5\n33414 'Sarah' 5\n33415 'Saved' 5\n33416 'Scale' 5\n33417 'Scene' 5\n33418 'Sched' 5\n33419 'Scope' 5\n33420 'Score' 5\n33421 'Scott' 5\n33422 'Sense' 5\n33423 'Separ' 5\n33424 'Setup' 5\n33425 'Seven' 5\n33426 'Shape' 5\n33427 'Share' 5\n33428 'Sharp' 5\n33429 'Sheet' 5\n33430 'Shell' 5\n33431 'Shift' 5\n33432 'Short' 5\n33433 'Sigma' 5\n33434 'Simon' 5\n33435 'Since' 5\n33436 'Sizer' 5\n33437 'Skill' 5\n33438 'Sleep' 5\n33439 'Slice' 5\n33440 'Slide' 5\n33441 'Small' 5\n33442 'Smart' 5\n33443 'Smith' 5\n33444 'Solar' 5\n33445 'Solid' 5\n33446 'Songs' 5\n33447 'Sorry' 5\n33448 'Sound' 5\n33449 'South' 5\n33450 'Space' 5\n33451 'Spain' 5\n33452 'Spark' 5\n33453 'Spawn' 5\n33454 'Spect' 5\n33455 'Speed' 5\n33456 'Spell' 5\n33457 'Split' 5\n33458 'Sport' 5\n33459 'Stack' 5\n33460 'Staff' 5\n33461 'Stage' 5\n33462 'Stamp' 5\n33463 'Stand' 5\n33464 'Stars' 5\n33465 'Start' 5\n33466 'State' 5\n33467 'Stats' 5\n33468 'Steps' 5\n33469 'Steve' 5\n33470 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'Years' 5\n33588 'Young' 5\n33589 '[:,:,' 5\n33590 '[…]' 5\n33591 '\\\\\":\\\\\"' 5\n33592 '^−^' 5\n33593 'abama' 5\n33594 'abase' 5\n33595 'abbit' 5\n33596 'abeth' 5\n33597 'abled' 5\n33598 'ables' 5\n33599 'abort' 5\n33600 'about' 5\n33601 'above' 5\n33602 'abric' 5\n33603 'accum' 5\n33604 'accur' 5\n33605 'aceae' 5\n33606 'acent' 5\n33607 'acerb' 5\n33608 'aceut' 5\n33609 'ached' 5\n33610 'achel' 5\n33611 'achen' 5\n33612 'acher' 5\n33613 'aches' 5\n33614 'acial' 5\n33615 'acies' 5\n33616 'acing' 5\n33617 'acion' 5\n33618 'acity' 5\n33619 'ació' 5\n33620 'ację' 5\n33621 'acked' 5\n33622 'acker' 5\n33623 'acket' 5\n33624 'acles' 5\n33625 'acons' 5\n33626 'acted' 5\n33627 'acter' 5\n33628 'actic' 5\n33629 'activ' 5\n33630 'actly' 5\n33631 'actor' 5\n33632 'actus' 5\n33633 'acute' 5\n33634 'adapt' 5\n33635 'adata' 5\n33636 'adays' 5\n33637 'addTo' 5\n33638 'added' 5\n33639 'adder' 5\n33640 'addle' 5\n33641 'addon' 5\n33642 'adena' 5\n33643 'adeon' 5\n33644 'adequ' 5\n33645 'aders' 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5\n34643 'iding' 5\n34644 'idity' 5\n34645 'idium' 5\n34646 'idual' 5\n34647 'idée' 5\n34648 'iedad' 5\n34649 'ieder' 5\n34650 'iegel' 5\n34651 'ielle' 5\n34652 'ience' 5\n34653 'iency' 5\n34654 'iendo' 5\n34655 'ienen' 5\n34656 'ienna' 5\n34657 'ienne' 5\n34658 'iente' 5\n34659 'iento' 5\n34660 'ients' 5\n34661 'ienza' 5\n34662 'ieren' 5\n34663 'ierno' 5\n34664 'ieron' 5\n34665 'ierra' 5\n34666 'ierre' 5\n34667 'ierte' 5\n34668 'ierto' 5\n34669 'iesel' 5\n34670 'iesen' 5\n34671 'ieurs' 5\n34672 'ieval' 5\n34673 'ieved' 5\n34674 'ieves' 5\n34675 'iface' 5\n34676 'ifact' 5\n34677 'ifdef' 5\n34678 'ifest' 5\n34679 'iffer' 5\n34680 'ifica' 5\n34681 'ifice' 5\n34682 'ified' 5\n34683 'ifier' 5\n34684 'ifies' 5\n34685 'ifié' 5\n34686 'ifold' 5\n34687 'iform' 5\n34688 'iforn' 5\n34689 'ifter' 5\n34690 'igate' 5\n34691 'igent' 5\n34692 'igest' 5\n34693 'igger' 5\n34694 'ighed' 5\n34695 'ighth' 5\n34696 'ights' 5\n34697 'igion' 5\n34698 'igmat' 5\n34699 'igned' 5\n34700 'igner' 5\n34701 'ignon' 5\n34702 'igram' 5\n34703 'igung' 5\n34704 'ijing' 5\n34705 'ikawa' 5\n34706 'ikers' 5\n34707 'iking' 5\n34708 'ilage' 5\n34709 'iland' 5\n34710 'ilder' 5\n34711 'ilent' 5\n34712 'ilers' 5\n34713 'ilian' 5\n34714 'iliar' 5\n34715 'ilies' 5\n34716 'iline' 5\n34717 'iling' 5\n34718 'ilion' 5\n34719 'ility' 5\n34720 'illac' 5\n34721 'illar' 5\n34722 'illas' 5\n34723 'illed' 5\n34724 'iller' 5\n34725 'illes' 5\n34726 'illet' 5\n34727 'illin' 5\n34728 'illon' 5\n34729 'illus' 5\n34730 'illé' 5\n34731 'ilogy' 5\n34732 'ilton' 5\n34733 'image' 5\n34734 'imals' 5\n34735 'imate' 5\n34736 'imens' 5\n34737 'iment' 5\n34738 'imgur' 5\n34739 'imits' 5\n34740 'imize' 5\n34741 'immer' 5\n34742 'imony' 5\n34743 'imore' 5\n34744 'imoto' 5\n34745 'imper' 5\n34746 'imple' 5\n34747 'impro' 5\n34748 'imuth' 5\n34749 'inals' 5\n34750 'iname' 5\n34751 'inand' 5\n34752 'inant' 5\n34753 'inary' 5\n34754 'inate' 5\n34755 'inces' 5\n34756 'incip' 5\n34757 'incre' 5\n34758 'inden' 5\n34759 'inder' 5\n34760 'index' 5\n34761 'indic' 5\n34762 'indle' 5\n34763 'indow' 5\n34764 'indre' 5\n34765 'inear' 5\n34766 'inees' 5\n34767 'inely' 5\n34768 'inent' 5\n34769 'iners' 5\n34770 'inery' 5\n34771 'inese' 5\n34772 'iness' 5\n34773 'infer' 5\n34774 'infra' 5\n34775 'infty' 5\n34776 'ingen' 5\n34777 'inger' 5\n34778 'inges' 5\n34779 'ingle' 5\n34780 'ingly' 5\n34781 'inian' 5\n34782 'ining' 5\n34783 'inion' 5\n34784 'inite' 5\n34785 'inity' 5\n34786 'inkel' 5\n34787 'inker' 5\n34788 'inkle' 5\n34789 'inned' 5\n34790 'innen' 5\n34791 'inner' 5\n34792 'inode' 5\n34793 'inois' 5\n34794 'inous' 5\n34795 'input' 5\n34796 'inset' 5\n34797 'insic' 5\n34798 'inski' 5\n34799 'insky' 5\n34800 'inson' 5\n34801 'instr' 5\n34802 'intel' 5\n34803 'inter' 5\n34804 'inton' 5\n34805 'intro' 5\n34806 'inté' 5\n34807 'iolet' 5\n34808 'ional' 5\n34809 'ioned' 5\n34810 'iones' 5\n34811 'ionic' 5\n34812 'iosis' 5\n34813 'iotic' 5\n34814 'ioxid' 5\n34815 'ipart' 5\n34816 'ipers' 5\n34817 'ipher' 5\n34818 'iples' 5\n34819 'ipped' 5\n34820 'ipper' 5\n34821 'ippet' 5\n34822 'ipple' 5\n34823 'ipzig' 5\n34824 'iques' 5\n34825 'iquid' 5\n34826 'iqué' 5\n34827 'ircle' 5\n34828 'irect' 5\n34829 'iring' 5\n34830 'irmed' 5\n34831 'irror' 5\n34832 'isans' 5\n34833 'iscal' 5\n34834 'ische' 5\n34835 'isers' 5\n34836 'ished' 5\n34837 'isher' 5\n34838 'ishes' 5\n34839 'ishly' 5\n34840 'ishop' 5\n34841 'ising' 5\n34842 'ision' 5\n34843 'isman' 5\n34844 'ismic' 5\n34845 'ismus' 5\n34846 'isnan' 5\n34847 'isode' 5\n34848 'isons' 5\n34849 'issan' 5\n34850 'issen' 5\n34851 'isser' 5\n34852 'isses' 5\n34853 'isset' 5\n34854 'isson' 5\n34855 'issue' 5\n34856 'istan' 5\n34857 'istar' 5\n34858 'istas' 5\n34859 'isted' 5\n34860 'istem' 5\n34861 'isten' 5\n34862 'ister' 5\n34863 'istes' 5\n34864 'istic' 5\n34865 'istik' 5\n34866 'istle' 5\n34867 'istol' 5\n34868 'iston' 5\n34869 'istor' 5\n34870 'istra' 5\n34871 'istro' 5\n34872 'istry' 5\n34873 'istä' 5\n34874 'isure' 5\n34875 'isée' 5\n34876 'isés' 5\n34877 'itage' 5\n34878 'itals' 5\n34879 'itant' 5\n34880 'itary' 5\n34881 'itate' 5\n34882 'itect' 5\n34883 'itely' 5\n34884 'items' 5\n34885 'iterr' 5\n34886 'ither' 5\n34887 'ithub' 5\n34888 'itial' 5\n34889 'ities' 5\n34890 'itime' 5\n34891 'iting' 5\n34892 'ition' 5\n34893 'itive' 5\n34894 'itié' 5\n34895 'itled' 5\n34896 'itles' 5\n34897 'itone' 5\n34898 'itore' 5\n34899 'itori' 5\n34900 'itors' 5\n34901 'itory' 5\n34902 'itsch' 5\n34903 'itted' 5\n34904 'ittee' 5\n34905 'itten' 5\n34906 'itter' 5\n34907 'ittle' 5\n34908 'itude' 5\n34909 'itung' 5\n34910 'iture' 5\n34911 'itzer' 5\n34912 'ität' 5\n34913 'ités' 5\n34914 'ivals' 5\n34915 'ivari' 5\n34916 'ivate' 5\n34917 'iveau' 5\n34918 'ively' 5\n34919 'ivent' 5\n34920 'ivers' 5\n34921 'ivery' 5\n34922 'iving' 5\n34923 'ivism' 5\n34924 'ivist' 5\n34925 'ivity' 5\n34926 'ixels' 5\n34927 'izada' 5\n34928 'izado' 5\n34929 'izard' 5\n34930 'izens' 5\n34931 'izers' 5\n34932 'izing' 5\n34933 'izons' 5\n34934 'izont' 5\n34935 'izoph' 5\n34936 'ième' 5\n34937 'ière' 5\n34938 'jamin' 5\n34939 'jango' 5\n34940 'javax' 5\n34941 'jiang' 5\n34942 'joint' 5\n34943 'jours' 5\n34944 'juana' 5\n34945 'judge' 5\n34946 'junit' 5\n34947 'juven' 5\n34948 'jähr' 5\n34949 'jší' 5\n34950 'kappa' 5\n34951 'keley' 5\n34952 'keras' 5\n34953 'klass' 5\n34954 'klär' 5\n34955 'known' 5\n34956 'ktion' 5\n34957 'ként' 5\n34958 'label' 5\n34959 'labor' 5\n34960 'laden' 5\n34961 'lando' 5\n34962 'lands' 5\n34963 'lapse' 5\n34964 'large' 5\n34965 'ları' 5\n34966 'lated' 5\n34967 'later' 5\n34968 'latex' 5\n34969 'latin' 5\n34970 'layer' 5\n34971 'ldots' 5\n34972 'leans' 5\n34973 'learn' 5\n34974 'lease' 5\n34975 'least' 5\n34976 'leave' 5\n34977 'ledge' 5\n34978 'legal' 5\n34979 'legen' 5\n34980 'leich' 5\n34981 'leigh' 5\n34982 'leman' 5\n34983 'lemen' 5\n34984 'lemma' 5\n34985 'letal' 5\n34986 'leted' 5\n34987 'letes' 5\n34988 'letic' 5\n34989 'leton' 5\n34990 'lette' 5\n34991 'level' 5\n34992 'lexer' 5\n34993 'lical' 5\n34994 'lices' 5\n34995 'liche' 5\n34996 'licht' 5\n34997 'licit' 5\n34998 'lickr' 5\n34999 'lient' 5\n35000 'liers' 5\n35001 'liest' 5\n35002 'ließ' 5\n35003 'light' 5\n35004 'ligne' 5\n35005 'liked' 5\n35006 'limit' 5\n35007 'lined' 5\n35008 'liner' 5\n35009 'lines' 5\n35010 'lings' 5\n35011 'linha' 5\n35012 'links' 5\n35013 'linux' 5\n35014 'lique' 5\n35015 'lista' 5\n35016 'lists' 5\n35017 'liter' 5\n35018 'lived' 5\n35019 'liver' 5\n35020 'loads' 5\n35021 'lobal' 5\n35022 'local' 5\n35023 'locks' 5\n35024 'logic' 5\n35025 'login' 5\n35026 'loops' 5\n35027 'lopen' 5\n35028 'lords' 5\n35029 'lotte' 5\n35030 'lover' 5\n35031 'lower' 5\n35032 'luent' 5\n35033 'lycer' 5\n35034 'lying' 5\n35035 'länd' 5\n35036 'macro' 5\n35037 'magic' 5\n35038 'mails' 5\n35039 'maint' 5\n35040 'major' 5\n35041 'maker' 5\n35042 'makes' 5\n35043 'mania' 5\n35044 'mares' 5\n35045 'marks' 5\n35046 'ması' 5\n35047 'match' 5\n35048 'mates' 5\n35049 'matic' 5\n35050 'maven' 5\n35051 'maxim' 5\n35052 'maybe' 5\n35053 'means' 5\n35054 'media' 5\n35055 'mente' 5\n35056 'ments' 5\n35057 'merce' 5\n35058 'merge' 5\n35059 'meric' 5\n35060 'metal' 5\n35061 'meter' 5\n35062 'metic' 5\n35063 'metro' 5\n35064 'metry' 5\n35065 'micro' 5\n35066 'might' 5\n35067 'miner' 5\n35068 'minim' 5\n35069 'minor' 5\n35070 'minus' 5\n35071 'mixed' 5\n35072 'mkdir' 5\n35073 'modal' 5\n35074 'model' 5\n35075 'modes' 5\n35076 'money' 5\n35077 'mongo' 5\n35078 'monic' 5\n35079 'month' 5\n35080 'morph' 5\n35081 'motor' 5\n35082 'mount' 5\n35083 'mouse' 5\n35084 'mouth' 5\n35085 'movie' 5\n35086 'multi' 5\n35087 'music' 5\n35088 'mutex' 5\n35089 'mysql' 5\n35090 'même' 5\n35091 'nabla' 5\n35092 'nable' 5\n35093 'naire' 5\n35094 'named' 5\n35095 'names' 5\n35096 'nants' 5\n35097 'natal' 5\n35098 'neath' 5\n35099 'needs' 5\n35100 'negie' 5\n35101 'nelle' 5\n35102 'nergy' 5\n35103 'nesty' 5\n35104 'nette' 5\n35105 'never' 5\n35106 'nginx' 5\n35107 'night' 5\n35108 'nikov' 5\n35109 'nings' 5\n35110 'nodes' 5\n35111 'noise' 5\n35112 'nonce' 5\n35113 'north' 5\n35114 'notes' 5\n35115 'notin' 5\n35116 'nucle' 5\n35117 'numer' 5\n35118 'numpy' 5\n35119 'nyder' 5\n35120 'nées' 5\n35121 'ného' 5\n35122 'ních' 5\n35123 'ního' 5\n35124 'ných' 5\n35125 'oauth' 5\n35126 'obile' 5\n35127 'obody' 5\n35128 'ocado' 5\n35129 'ocamp' 5\n35130 'ocard' 5\n35131 'ocate' 5\n35132 'occup' 5\n35133 'occur' 5\n35134 'occus' 5\n35135 'ocene' 5\n35136 'ocent' 5\n35137 'ocese' 5\n35138 'ochem' 5\n35139 'ocial' 5\n35140 'ocide' 5\n35141 'ocity' 5\n35142 'ocker' 5\n35143 'ocket' 5\n35144 'ockey' 5\n35145 'ocode' 5\n35146 'ocrat' 5\n35147 'ocyan' 5\n35148 'ocyte' 5\n35149 'odies' 5\n35150 'oding' 5\n35151 'odium' 5\n35152 'odont' 5\n35153 'odore' 5\n35154 'odule' 5\n35155 'offee' 5\n35156 'offer' 5\n35157 'offic' 5\n35158 'often' 5\n35159 'ogene' 5\n35160 'ogens' 5\n35161 'oggle' 5\n35162 'oglob' 5\n35163 'ograf' 5\n35164 'ogram' 5\n35165 'ograp' 5\n35166 'ográ' 5\n35167 'oidal' 5\n35168 'okers' 5\n35169 'oking' 5\n35170 'okrat' 5\n35171 'oland' 5\n35172 'olars' 5\n35173 'olate' 5\n35174 'older' 5\n35175 'olean' 5\n35176 'olics' 5\n35177 'olina' 5\n35178 'oline' 5\n35179 'oling' 5\n35180 'olini' 5\n35181 'olith' 5\n35182 'ollah' 5\n35183 'ollar' 5\n35184 'ollen' 5\n35185 'oller' 5\n35186 'ollow' 5\n35187 'ology' 5\n35188 'olson' 5\n35189 'olulu' 5\n35190 'olute' 5\n35191 'olved' 5\n35192 'olver' 5\n35193 'olves' 5\n35194 'ológ' 5\n35195 'omain' 5\n35196 'omaly' 5\n35197 'ombie' 5\n35198 'omega' 5\n35199 'oment' 5\n35200 'omers' 5\n35201 'omial' 5\n35202 'omics' 5\n35203 'oming' 5\n35204 'ommen' 5\n35205 'omnia' 5\n35206 'omore' 5\n35207 'områ' 5\n35208 'onald' 5\n35209 'onaut' 5\n35210 'onces' 5\n35211 'oncé' 5\n35212 'onder' 5\n35213 'ondon' 5\n35214 'onent' 5\n35215 'onial' 5\n35216 'onian' 5\n35217 'onica' 5\n35218 'onies' 5\n35219 'oning' 5\n35220 'onium' 5\n35221 'onomy' 5\n35222 'onset' 5\n35223 'onyms' 5\n35224 'ookie' 5\n35225 'ooter' 5\n35226 'opard' 5\n35227 'opath' 5\n35228 'openh' 5\n35229 'opens' 5\n35230 'opher' 5\n35231 'ophil' 5\n35232 'ophys' 5\n35233 'opian' 5\n35234 'oping' 5\n35235 'oplan' 5\n35236 'oples' 5\n35237 'oplus' 5\n35238 'opoly' 5\n35239 'oprop' 5\n35240 'opsis' 5\n35241 'opter' 5\n35242 'optic' 5\n35243 'optim' 5\n35244 'orage' 5\n35245 'orama' 5\n35246 'orate' 5\n35247 'orbit' 5\n35248 'ordan' 5\n35249 'orden' 5\n35250 'order' 5\n35251 'ordin' 5\n35252 'ordon' 5\n35253 'oreal' 5\n35254 'orean' 5\n35255 'orest' 5\n35256 'organ' 5\n35257 'orgen' 5\n35258 'orget' 5\n35259 'orial' 5\n35260 'orian' 5\n35261 'ories' 5\n35262 'oring' 5\n35263 'ority' 5\n35264 'ormal' 5\n35265 'orman' 5\n35266 'orney' 5\n35267 'orous' 5\n35268 'orpor' 5\n35269 'orrow' 5\n35270 'ortal' 5\n35271 'orted' 5\n35272 'orter' 5\n35273 'ortex' 5\n35274 'ortho' 5\n35275 'orthy' 5\n35276 'ortic' 5\n35277 'orton' 5\n35278 'ortun' 5\n35279 'osaic' 5\n35280 'osaur' 5\n35281 'osing' 5\n35282 'osion' 5\n35283 'osite' 5\n35284 'osity' 5\n35285 'oslav' 5\n35286 'osome' 5\n35287 'ospel' 5\n35288 'ossip' 5\n35289 'ostat' 5\n35290 'osten' 5\n35291 'oster' 5\n35292 'ostic' 5\n35293 'oston' 5\n35294 'oteca' 5\n35295 'otech' 5\n35296 'oters' 5\n35297 'other' 5\n35298 'otics' 5\n35299 'otide' 5\n35300 'otine' 5\n35301 'oting' 5\n35302 'otion' 5\n35303 'otive' 5\n35304 'otomy' 5\n35305 'otrop' 5\n35306 'otted' 5\n35307 'otten' 5\n35308 'ottom' 5\n35309 'otype' 5\n35310 'ouble' 5\n35311 'ought' 5\n35312 'oulos' 5\n35313 'ounce' 5\n35314 'ounds' 5\n35315 'ounge' 5\n35316 'ounty' 5\n35317 'ource' 5\n35318 'oured' 5\n35319 'ourse' 5\n35320 'oused' 5\n35321 'ousel' 5\n35322 'ouses' 5\n35323 'ously' 5\n35324 'ousse' 5\n35325 'outer' 5\n35326 'ouver' 5\n35327 'overn' 5\n35328 'overs' 5\n35329 'overy' 5\n35330 'ovich' 5\n35331 'oving' 5\n35332 'ović' 5\n35333 'ovsky' 5\n35334 'ować' 5\n35335 'ował' 5\n35336 'owell' 5\n35337 'owing' 5\n35338 'owitz' 5\n35339 'owler' 5\n35340 'owned' 5\n35341 'owner' 5\n35342 'ownik' 5\n35343 'owski' 5\n35344 'oxide' 5\n35345 'ozzá' 5\n35346 'ości' 5\n35347 'paced' 5\n35348 'paces' 5\n35349 'pages' 5\n35350 'paint' 5\n35351 'pairs' 5\n35352 'panel' 5\n35353 'panic' 5\n35354 'paper' 5\n35355 'param' 5\n35356 'paras' 5\n35357 'paren' 5\n35358 'parse' 5\n35359 'parts' 5\n35360 'party' 5\n35361 'paste' 5\n35362 'patch' 5\n35363 'paths' 5\n35364 'pathy' 5\n35365 'pause' 5\n35366 'peace' 5\n35367 'pedia' 5\n35368 'peech' 5\n35369 'pered' 5\n35370 'peria' 5\n35371 'peror' 5\n35372 'perse' 5\n35373 'perty' 5\n35374 'phalt' 5\n35375 'phant' 5\n35376 'phase' 5\n35377 'pherd' 5\n35378 'phere' 5\n35379 'phins' 5\n35380 'phinx' 5\n35381 'phone' 5\n35382 'phony' 5\n35383 'photo' 5\n35384 'piece' 5\n35385 'pires' 5\n35386 'pitch' 5\n35387 'pivot' 5\n35388 'pixel' 5\n35389 'place' 5\n35390 'plain' 5\n35391 'plane' 5\n35392 'plant' 5\n35393 'plate' 5\n35394 'platz' 5\n35395 'plays' 5\n35396 'pless' 5\n35397 'plete' 5\n35398 'plets' 5\n35399 'plica' 5\n35400 'plied' 5\n35401 'plier' 5\n35402 'plies' 5\n35403 'pline' 5\n35404 'pling' 5\n35405 'plist' 5\n35406 'pload' 5\n35407 'plots' 5\n35408 'point' 5\n35409 'polar' 5\n35410 'polit' 5\n35411 'ponse' 5\n35412 'poons' 5\n35413 'popup' 5\n35414 'porte' 5\n35415 'ports' 5\n35416 'posal' 5\n35417 'posed' 5\n35418 'poser' 5\n35419 'poses' 5\n35420 'posit' 5\n35421 'posix' 5\n35422 'posta' 5\n35423 'posts' 5\n35424 'pound' 5\n35425 'power' 5\n35426 'ppers' 5\n35427 'pping' 5\n35428 'pread' 5\n35429 'press' 5\n35430 'price' 5\n35431 'prime' 5\n35432 'pring' 5\n35433 'print' 5\n35434 'prior' 5\n35435 'prise' 5\n35436 'probe' 5\n35437 'produ' 5\n35438 'promo' 5\n35439 'proof' 5\n35440 'props' 5\n35441 'prote' 5\n35442 'proto' 5\n35443 'prove' 5\n35444 'proxy' 5\n35445 'près' 5\n35446 'prés' 5\n35447 'psych' 5\n35448 'ptide' 5\n35449 'ption' 5\n35450 'ptive' 5\n35451 'ptune' 5\n35452 'pulse' 5\n35453 'punkt' 5\n35454 'puted' 5\n35455 'puter' 5\n35456 'pués' 5\n35457 'qquad' 5\n35458 'quake' 5\n35459 'quant' 5\n35460 'quare' 5\n35461 'quart' 5\n35462 'queda' 5\n35463 'quent' 5\n35464 'query' 5\n35465 'quest' 5\n35466 'queue' 5\n35467 'quick' 5\n35468 'quier' 5\n35469 'quiet' 5\n35470 'quipe' 5\n35471 'quire' 5\n35472 'quiry' 5\n35473 'quist' 5\n35474 'quite' 5\n35475 'quito' 5\n35476 'quivo' 5\n35477 'quota' 5\n35478 'quote' 5\n35479 'rades' 5\n35480 'radio' 5\n35481 'rador' 5\n35482 'ragon' 5\n35483 'raham' 5\n35484 'rails' 5\n35485 'raine' 5\n35486 'rains' 5\n35487 'raint' 5\n35488 'raise' 5\n35489 'raits' 5\n35490 'ramer' 5\n35491 'ramid' 5\n35492 'rance' 5\n35493 'ranch' 5\n35494 'range' 5\n35495 'rapid' 5\n35496 'rases' 5\n35497 'rated' 5\n35498 'rates' 5\n35499 'ratio' 5\n35500 'ravel' 5\n35501 'razil' 5\n35502 'reach' 5\n35503 'react' 5\n35504 'reads' 5\n35505 'ready' 5\n35506 'realm' 5\n35507 'reate' 5\n35508 'recht' 5\n35509 'redit' 5\n35510 'reens' 5\n35511 'refer' 5\n35512 'refix' 5\n35513 'regex' 5\n35514 'regon' 5\n35515 'regor' 5\n35516 'reich' 5\n35517 'reira' 5\n35518 'relax' 5\n35519 'rella' 5\n35520 'rence' 5\n35521 'rench' 5\n35522 'rende' 5\n35523 'renew' 5\n35524 'rente' 5\n35525 'reply' 5\n35526 'repos' 5\n35527 'reset' 5\n35528 'resid' 5\n35529 'resol' 5\n35530 'resse' 5\n35531 'retch' 5\n35532 'reten' 5\n35533 'retry' 5\n35534 'rette' 5\n35535 'reuse' 5\n35536 'riage' 5\n35537 'rians' 5\n35538 'rible' 5\n35539 'ribly' 5\n35540 'rical' 5\n35541 'rices' 5\n35542 'richt' 5\n35543 'ricia' 5\n35544 'ricks' 5\n35545 'rides' 5\n35546 'ridge' 5\n35547 'riend' 5\n35548 'rient' 5\n35549 'riers' 5\n35550 'rieve' 5\n35551 'right' 5\n35552 'rimin' 5\n35553 'ringe' 5\n35554 'rings' 5\n35555 'riors' 5\n35556 'rique' 5\n35557 'rison' 5\n35558 'rists' 5\n35559 'riter' 5\n35560 'rites' 5\n35561 'ritic' 5\n35562 'ritis' 5\n35563 'rival' 5\n35564 'rived' 5\n35565 'river' 5\n35566 'roads' 5\n35567 'robat' 5\n35568 'robot' 5\n35569 'rocal' 5\n35570 'rogen' 5\n35571 'roles' 5\n35572 'rolls' 5\n35573 'rolog' 5\n35574 'romes' 5\n35575 'rones' 5\n35576 'ronic' 5\n35577 'ronym' 5\n35578 'rooms' 5\n35579 'roots' 5\n35580 'rophe' 5\n35581 'rophy' 5\n35582 'ropic' 5\n35583 'ropol' 5\n35584 'ropri' 5\n35585 'rored' 5\n35586 'rosis' 5\n35587 'rosse' 5\n35588 'rough' 5\n35589 'round' 5\n35590 'route' 5\n35591 'rowse' 5\n35592 'rowth' 5\n35593 'rozen' 5\n35594 'ruary' 5\n35595 'ruits' 5\n35596 'rules' 5\n35597 'rying' 5\n35598 'rypto' 5\n35599 'sales' 5\n35600 'saved' 5\n35601 'sburg' 5\n35602 'scala' 5\n35603 'scale' 5\n35604 'scape' 5\n35605 'scene' 5\n35606 'sched' 5\n35607 'schen' 5\n35608 'scope' 5\n35609 'score' 5\n35610 'scrib' 5\n35611 'sembl' 5\n35612 'senal' 5\n35613 'sense' 5\n35614 'separ' 5\n35615 'serie' 5\n35616 'serve' 5\n35617 'setUp' 5\n35618 'setup' 5\n35619 'seudo' 5\n35620 'seven' 5\n35621 'sever' 5\n35622 'shake' 5\n35623 'shall' 5\n35624 'shape' 5\n35625 'share' 5\n35626 'sharp' 5\n35627 'sheet' 5\n35628 'shelf' 5\n35629 'shell' 5\n35630 'shift' 5\n35631 'shine' 5\n35632 'ships' 5\n35633 'shire' 5\n35634 'shirt' 5\n35635 'shoot' 5\n35636 'shops' 5\n35637 'shore' 5\n35638 'short' 5\n35639 'shots' 5\n35640 'shown' 5\n35641 'shows' 5\n35642 'sible' 5\n35643 'sided' 5\n35644 'sight' 5\n35645 'sigma' 5\n35646 'simeq' 5\n35647 'simpl' 5\n35648 'since' 5\n35649 'sites' 5\n35650 'sized' 5\n35651 'sizes' 5\n35652 'skill' 5\n35653 'skins' 5\n35654 'slack' 5\n35655 'slant' 5\n35656 'slash' 5\n35657 'slave' 5\n35658 'sleep' 5\n35659 'slice' 5\n35660 'slide' 5\n35661 'slope' 5\n35662 'slots' 5\n35663 'small' 5\n35664 'smart' 5\n35665 'smith' 5\n35666 'snake' 5\n35667 'sofar' 5\n35668 'solar' 5\n35669 'solid' 5\n35670 'solve' 5\n35671 'sound' 5\n35672 'south' 5\n35673 'space' 5\n35674 'spark' 5\n35675 'spawn' 5\n35676 'spect' 5\n35677 'speed' 5\n35678 'spell' 5\n35679 'split' 5\n35680 'sport' 5\n35681 'spots' 5\n35682 'stack' 5\n35683 'stadt' 5\n35684 'staff' 5\n35685 'stage' 5\n35686 'stalk' 5\n35687 'stamp' 5\n35688 'stand' 5\n35689 'stant' 5\n35690 'stars' 5\n35691 'start' 5\n35692 'stash' 5\n35693 'state' 5\n35694 'stats' 5\n35695 'stdin' 5\n35696 'stdio' 5\n35697 'stead' 5\n35698 'steel' 5\n35699 'stein' 5\n35700 'stell' 5\n35701 'steps' 5\n35702 'stere' 5\n35703 'sters' 5\n35704 'stery' 5\n35705 'stick' 5\n35706 'still' 5\n35707 'stime' 5\n35708 'stock' 5\n35709 'stone' 5\n35710 'stood' 5\n35711 'store' 5\n35712 'storm' 5\n35713 'story' 5\n35714 'stown' 5\n35715 'strap' 5\n35716 'strip' 5\n35717 'strom' 5\n35718 'study' 5\n35719 'stuff' 5\n35720 'ství' 5\n35721 'style' 5\n35722 'stype' 5\n35723 'stüt' 5\n35724 'subst' 5\n35725 'suite' 5\n35726 'super' 5\n35727 'sweet' 5\n35728 'swers' 5\n35729 'swick' 5\n35730 'swift' 5\n35731 'swing' 5\n35732 'szág' 5\n35733 'table' 5\n35734 'tails' 5\n35735 'taire' 5\n35736 'taken' 5\n35737 'takes' 5\n35738 'tasks' 5\n35739 'tbody' 5\n35740 'techn' 5\n35741 'teger' 5\n35742 'templ' 5\n35743 'temps' 5\n35744 'tered' 5\n35745 'terms' 5\n35746 'terra' 5\n35747 'tests' 5\n35748 'texto' 5\n35749 'texts' 5\n35750 'tfrac' 5\n35751 'thank' 5\n35752 'thead' 5\n35753 'their' 5\n35754 'theme' 5\n35755 'there' 5\n35756 'thern' 5\n35757 'thers' 5\n35758 'these' 5\n35759 'theta' 5\n35760 'thick' 5\n35761 'thing' 5\n35762 'think' 5\n35763 'third' 5\n35764 'thood' 5\n35765 'those' 5\n35766 'three' 5\n35767 'thren' 5\n35768 'throw' 5\n35769 'thumb' 5\n35770 'tical' 5\n35771 'ticks' 5\n35772 'tight' 5\n35773 'tilde' 5\n35774 'tiles' 5\n35775 'timer' 5\n35776 'times' 5\n35777 'tings' 5\n35778 'title' 5\n35779 'tober' 5\n35780 'today' 5\n35781 'todos' 5\n35782 'token' 5\n35783 'tools' 5\n35784 'topic' 5\n35785 'torch' 5\n35786 'total' 5\n35787 'touch' 5\n35788 'trace' 5\n35789 'track' 5\n35790 'tract' 5\n35791 'trade' 5\n35792 'trail' 5\n35793 'train' 5\n35794 'trait' 5\n35795 'trans' 5\n35796 'trash' 5\n35797 'treat' 5\n35798 'trees' 5\n35799 'trend' 5\n35800 'trial' 5\n35801 'tries' 5\n35802 'tring' 5\n35803 'trunc' 5\n35804 'trust' 5\n35805 'truth' 5\n35806 'tuple' 5\n35807 'tures' 5\n35808 'tweet' 5\n35809 'twist' 5\n35810 'typed' 5\n35811 'types' 5\n35812 'uable' 5\n35813 'ually' 5\n35814 'uario' 5\n35815 'uated' 5\n35816 'uates' 5\n35817 'ubble' 5\n35818 'ubern' 5\n35819 'ubert' 5\n35820 'ublic' 5\n35821 'ublin' 5\n35822 'ubyte' 5\n35823 'uchar' 5\n35824 'uchen' 5\n35825 'ucing' 5\n35826 'ucion' 5\n35827 'ucked' 5\n35828 'ucker' 5\n35829 'ucket' 5\n35830 'uckle' 5\n35831 'uctor' 5\n35832 'uddle' 5\n35833 'udeau' 5\n35834 'udent' 5\n35835 'uding' 5\n35836 'udson' 5\n35837 'uelle' 5\n35838 'uerdo' 5\n35839 'uerto' 5\n35840 'uesta' 5\n35841 'uesto' 5\n35842 'ufact' 5\n35843 'uffed' 5\n35844 'uffer' 5\n35845 'uffix' 5\n35846 'uffle' 5\n35847 'uggle' 5\n35848 'ugins' 5\n35849 'uitar' 5\n35850 'ulant' 5\n35851 'ulate' 5\n35852 'ulent' 5\n35853 'uliar' 5\n35854 'uling' 5\n35855 'ulkan' 5\n35856 'ullah' 5\n35857 'ullen' 5\n35858 'ulner' 5\n35859 'ulong' 5\n35860 'ulose' 5\n35861 'ulous' 5\n35862 'ultan' 5\n35863 'ultur' 5\n35864 'ulté' 5\n35865 'umann' 5\n35866 'umbai' 5\n35867 'umber' 5\n35868 'umble' 5\n35869 'ument' 5\n35870 'umina' 5\n35871 'uming' 5\n35872 'ummer' 5\n35873 'umped' 5\n35874 'umper' 5\n35875 'uncan' 5\n35876 'uncia' 5\n35877 'undai' 5\n35878 'unday' 5\n35879 'undef' 5\n35880 'unden' 5\n35881 'under' 5\n35882 'undle' 5\n35883 'ungal' 5\n35884 'ungen' 5\n35885 'unger' 5\n35886 'ungle' 5\n35887 'uning' 5\n35888 'union' 5\n35889 'units' 5\n35890 'unity' 5\n35891 'unker' 5\n35892 'unned' 5\n35893 'unnel' 5\n35894 'unque' 5\n35895 'unset' 5\n35896 'unted' 5\n35897 'unter' 5\n35898 'until' 5\n35899 'untos' 5\n35900 'uplic' 5\n35901 'upper' 5\n35902 'uracy' 5\n35903 'urate' 5\n35904 'urban' 5\n35905 'urbed' 5\n35906 'ureau' 5\n35907 'urent' 5\n35908 'urers' 5\n35909 'urger' 5\n35910 'uries' 5\n35911 'uring' 5\n35912 'urity' 5\n35913 'urnal' 5\n35914 'urope' 5\n35915 'urous' 5\n35916 'urred' 5\n35917 'ursed' 5\n35918 'urses' 5\n35919 'ursor' 5\n35920 'urtle' 5\n35921 'usage' 5\n35922 'users' 5\n35923 'useum' 5\n35924 'ushed' 5\n35925 'ushes' 5\n35926 'using' 5\n35927 'usion' 5\n35928 'usive' 5\n35929 'ussed' 5\n35930 'ussen' 5\n35931 'ussia' 5\n35932 'usted' 5\n35933 'uster' 5\n35934 'ustin' 5\n35935 'ustom' 5\n35936 'usual' 5\n35937 'utely' 5\n35938 'uters' 5\n35939 'uteur' 5\n35940 'uther' 5\n35941 'utils' 5\n35942 'uting' 5\n35943 'ution' 5\n35944 'utive' 5\n35945 'utors' 5\n35946 'utory' 5\n35947 'utral' 5\n35948 'utsch' 5\n35949 'utter' 5\n35950 'utton' 5\n35951 'uture' 5\n35952 'uyên' 5\n35953 'uzzle' 5\n35954 'vable' 5\n35955 'valid' 5\n35956 'valor' 5\n35957 'value' 5\n35958 'varez' 5\n35959 'vault' 5\n35960 'vdots' 5\n35961 'velle' 5\n35962 'velop' 5\n35963 'venir' 5\n35964 'venth' 5\n35965 'vents' 5\n35966 'venue' 5\n35967 'verbs' 5\n35968 'verse' 5\n35969 'verte' 5\n35970 'verts' 5\n35971 'verty' 5\n35972 'vette' 5\n35973 'video' 5\n35974 'vider' 5\n35975 'vidia' 5\n35976 'views' 5\n35977 'villa' 5\n35978 'ville' 5\n35979 'vious' 5\n35980 'viron' 5\n35981 'virus' 5\n35982 'vised' 5\n35983 'visit' 5\n35984 'visor' 5\n35985 'vival' 5\n35986 'vocab' 5\n35987 'voice' 5\n35988 'votes' 5\n35989 'väst' 5\n35990 'wagen' 5\n35991 'walls' 5\n35992 'wards' 5\n35993 'wares' 5\n35994 'watch' 5\n35995 'water' 5\n35996 'waves' 5\n35997 'wedge' 5\n35998 'weeks' 5\n35999 'weets' 5\n36000 'weise' 5\n36001 'wheel' 5\n36002 'where' 5\n36003 'which' 5\n36004 'while' 5\n36005 'white' 5\n36006 'whole' 5\n36007 'whose' 5\n36008 'width' 5\n36009 'witch' 5\n36010 'wives' 5\n36011 'wiąz' 5\n36012 'woman' 5\n36013 'women' 5\n36014 'woods' 5\n36015 'words' 5\n36016 'works' 5\n36017 'world' 5\n36018 'worth' 5\n36019 'would' 5\n36020 'write' 5\n36021 'wrong' 5\n36022 'xhtml' 5\n36023 'xiety' 5\n36024 'xmlns' 5\n36025 'xpath' 5\n36026 'xture' 5\n36027 'xygen' 5\n36028 'yahoo' 5\n36029 'yards' 5\n36030 'ycler' 5\n36031 'years' 5\n36032 'yield' 5\n36033 'ylene' 5\n36034 'ylvan' 5\n36035 'ymbol' 5\n36036 'yntax' 5\n36037 'young' 5\n36038 'ystem' 5\n36039 'yster' 5\n36040 'ython' 5\n36041 'ytics' 5\n36042 'zeich' 5\n36043 'zeros' 5\n36044 'ział' 5\n36045 'zilla' 5\n36046 'zione' 5\n36047 'zsche' 5\n36048 '}}_{\\\\' 5\n36049 'ÇÃO' 5\n36050 'État' 5\n36051 'ában' 5\n36052 'ácil' 5\n36053 'ález' 5\n36054 'ális' 5\n36055 'álva' 5\n36056 'ámos' 5\n36057 'ának' 5\n36058 'ános' 5\n36059 'ání' 5\n36060 'ária' 5\n36061 'ário' 5\n36062 'ások' 5\n36063 'átum' 5\n36064 'ával' 5\n36065 'ável' 5\n36066 'ází' 5\n36067 'ână' 5\n36068 'âtre' 5\n36069 'äche' 5\n36070 'ächs' 5\n36071 'ächt' 5\n36072 'äger' 5\n36073 'ählt' 5\n36074 'äler' 5\n36075 'älle' 5\n36076 'ällt' 5\n36077 'ämä' 5\n36078 'ände' 5\n36079 'änge' 5\n36080 'ären' 5\n36081 'ässt' 5\n36082 'äter' 5\n36083 'ätte' 5\n36084 'ätze' 5\n36085 'äude' 5\n36086 'ään' 5\n36087 'ædia' 5\n36088 'çais' 5\n36089 'çois' 5\n36090 'çoit' 5\n36091 'ção' 5\n36092 'èces' 5\n36093 'èles' 5\n36094 'èmes' 5\n36095 'ènes' 5\n36096 'èque' 5\n36097 'ères' 5\n36098 'ètes' 5\n36099 'ètre' 5\n36100 'èves' 5\n36101 'ébec' 5\n36102 'ében' 5\n36103 'écur' 5\n36104 'éder' 5\n36105 'édia' 5\n36106 'édie' 5\n36107 'édé' 5\n36108 'élé' 5\n36109 'émet' 5\n36110 'émie' 5\n36111 'émon' 5\n36112 'ének' 5\n36113 'énez' 5\n36114 'énom' 5\n36115 'éné' 5\n36116 'éral' 5\n36117 'érer' 5\n36118 'érez' 5\n36119 'éric' 5\n36120 'érie' 5\n36121 'ério' 5\n36122 'éré' 5\n36123 'ésie' 5\n36124 'éső' 5\n36125 'état' 5\n36126 'éter' 5\n36127 'été' 5\n36128 'ével' 5\n36129 'êmes' 5\n36130 'êque' 5\n36131 'êtes' 5\n36132 'être' 5\n36133 'ícia' 5\n36134 'ício' 5\n36135 'ícul' 5\n36136 'ící' 5\n36137 'ígen' 5\n36138 'ília' 5\n36139 'ínez' 5\n36140 'íses' 5\n36141 'ível' 5\n36142 'ître' 5\n36143 'ñana' 5\n36144 'òria' 5\n36145 'ództ' 5\n36146 'ópez' 5\n36147 'ória' 5\n36148 'ório' 5\n36149 'ôtel' 5\n36150 'öder' 5\n36151 'önig' 5\n36152 'öße' 5\n36153 'úmer' 5\n36154 'über' 5\n36155 'ücke' 5\n36156 'ügel' 5\n36157 'ügen' 5\n36158 'ühle' 5\n36159 'ührt' 5\n36160 'üler' 5\n36161 'ület' 5\n36162 'ünst' 5\n36163 'ční' 5\n36164 'ędzy' 5\n36165 'ění' 5\n36166 'ılı' 5\n36167 'ında' 5\n36168 'ını' 5\n36169 'łoż' 5\n36170 'łuż' 5\n36171 'łów' 5\n36172 'ńczy' 5\n36173 'ńska' 5\n36174 'ński' 5\n36175 'ństw' 5\n36176 'ście' 5\n36177 'śnie' 5\n36178 'ště' 5\n36179 'ším' 5\n36180 'ướ' 5\n36181 'ườ' 5\n36182 'ưở' 5\n36183 'ượ' 5\n36184 'ảng' 5\n36185 'ằng' 5\n36186 'ịch' 5\n36187 'ống' 5\n36188 'ồng' 5\n36189 'ụng' 5\n36190 'ứng' 5\n36191 'ững' 5\n36192 '’il' 5\n36193 '’ll' 5\n36194 '’re' 5\n36195 '’ve' 5\n36196 '“No' 5\n36197 '”),' 5\n36198 '”).' 5\n36199 '…..' 5\n36200 '！\",' 5\n36201 '：</' 5\n36202 '\\t\\t\\t\\t\\t\\t' 6\n36203 '\\n\\t\\t\\t\\t\\t' 6\n36204 '\\n\\t\\t   ' 6\n36205 '\\n\\n\\t\\t\\t\\t' 6\n36206 '\\n\\n\\n\\n\\n\\n' 6\n36207 '\\n\\n\\n   ' 6\n36208 '\\n\\n    ' 6\n36209 '\\n    \\n' 6\n36210 '\\n     ' 6\n36211 '\\r\\n\\t\\t\\t\\t' 6\n36212 '\\r\\n\\r\\n\\r\\n' 6\n36213 '\\r\\n    ' 6\n36214 ' \\n    ' 6\n36215 '  \\n   ' 6\n36216 '      ' 6\n36217 ' #####' 6\n36218 ' (...)' 6\n36219 ' (…)' 6\n36220 ' *****' 6\n36221 ' -----' 6\n36222 ' ABOUT' 6\n36223 ' AFTER' 6\n36224 ' ALTER' 6\n36225 ' ASCII' 6\n36226 ' Aaron' 6\n36227 ' Abbas' 6\n36228 ' Abbey' 6\n36229 ' Abdel' 6\n36230 ' Abdul' 6\n36231 ' About' 6\n36232 ' Above' 6\n36233 ' Abram' 6\n36234 ' Abuse' 6\n36235 ' Accum' 6\n36236 ' Achie' 6\n36237 ' Activ' 6\n36238 ' Actor' 6\n36239 ' Adams' 6\n36240 ' Adapt' 6\n36241 ' Added' 6\n36242 ' Admin' 6\n36243 ' Admir' 6\n36244 ' Adobe' 6\n36245 ' Adolf' 6\n36246 ' Adult' 6\n36247 ' Advis' 6\n36248 ' Advoc' 6\n36249 ' Afric' 6\n36250 ' After' 6\n36251 ' Again' 6\n36252 ' Agent' 6\n36253 ' Agric' 6\n36254 ' Ahmad' 6\n36255 ' Ahmed' 6\n36256 ' Aires' 6\n36257 ' Alban' 6\n36258 ' Alber' 6\n36259 ' Album' 6\n36260 ' Aleks' 6\n36261 ' Alert' 6\n36262 ' Aless' 6\n36263 ' Alexa' 6\n36264 ' Alger' 6\n36265 ' Alice' 6\n36266 ' Alien' 6\n36267 ' Align' 6\n36268 ' Allah' 6\n36269 ' Allan' 6\n36270 ' Alleg' 6\n36271 ' Allen' 6\n36272 ' Allow' 6\n36273 ' Along' 6\n36274 ' Alpha' 6\n36275 ' Alter' 6\n36276 ' Além' 6\n36277 ' Amber' 6\n36278 ' Amend' 6\n36279 ' Among' 6\n36280 ' Analy' 6\n36281 ' Andre' 6\n36282 ' Angel' 6\n36283 ' Angle' 6\n36284 ' Anglo' 6\n36285 ' Anita' 6\n36286 ' Annex' 6\n36287 ' Annie' 6\n36288 ' Antar' 6\n36289 ' Anton' 6\n36290 ' Apart' 6\n36291 ' Apost' 6\n36292 ' Apple' 6\n36293 ' Apply' 6\n36294 ' Appro' 6\n36295 ' April' 6\n36296 ' Arabs' 6\n36297 ' Arbit' 6\n36298 ' Arbor' 6\n36299 ' Areas' 6\n36300 ' Arena' 6\n36301 ' Arist' 6\n36302 ' Armed' 6\n36303 ' Armen' 6\n36304 ' Array' 6\n36305 ' Arrow' 6\n36306 ' Asian' 6\n36307 ' Aside' 6\n36308 ' Assad' 6\n36309 ' Asset' 6\n36310 ' Aster' 6\n36311 ' Aston' 6\n36312 ' Async' 6\n36313 ' Athen' 6\n36314 ' Atlas' 6\n36315 ' Audio' 6\n36316 ' Audit' 6\n36317 ' Autom' 6\n36318 ' Autor' 6\n36319 ' Avoid' 6\n36320 ' Award' 6\n36321 ' Azure' 6\n36322 ' BASIS' 6\n36323 ' BEGIN' 6\n36324 ' BLACK' 6\n36325 ' BLOCK' 6\n36326 ' BOOST' 6\n36327 ' Bacon' 6\n36328 ' Baker' 6\n36329 ' Banks' 6\n36330 ' Barcl' 6\n36331 ' Baron' 6\n36332 ' Barry' 6\n36333 ' Barth' 6\n36334 ' Based' 6\n36335 ' Basel' 6\n36336 ' Basic' 6\n36337 ' Basil' 6\n36338 ' Basin' 6\n36339 ' Basis' 6\n36340 ' Batch' 6\n36341 ' Bates' 6\n36342 ' Bauer' 6\n36343 ' Bayer' 6\n36344 ' Beach' 6\n36345 ' Bears' 6\n36346 ' Beast' 6\n36347 ' Beaut' 6\n36348 ' Begin' 6\n36349 ' Being' 6\n36350 ' Bella' 6\n36351 ' Belle' 6\n36352 ' Below' 6\n36353 ' Bench' 6\n36354 ' Bened' 6\n36355 ' Benef' 6\n36356 ' Benny' 6\n36357 ' Berry' 6\n36358 ' Besch' 6\n36359 ' Betty' 6\n36360 ' Bever' 6\n36361 ' Bible' 6\n36362 ' Bibli' 6\n36363 ' Biden' 6\n36364 ' Bills' 6\n36365 ' Billy' 6\n36366 ' Birds' 6\n36367 ' Birth' 6\n36368 ' Black' 6\n36369 ' Blair' 6\n36370 ' Blake' 6\n36371 ' Blanc' 6\n36372 ' Blank' 6\n36373 ' Blast' 6\n36374 ' Bless' 6\n36375 ' Blind' 6\n36376 ' Block' 6\n36377 ' Blood' 6\n36378 ' Bloom' 6\n36379 ' Blues' 6\n36380 ' Board' 6\n36381 ' Bobby' 6\n36382 ' Books' 6\n36383 ' Boost' 6\n36384 ' Booth' 6\n36385 ' Boris' 6\n36386 ' Bound' 6\n36387 ' Brady' 6\n36388 ' Brain' 6\n36389 ' Brand' 6\n36390 ' Brass' 6\n36391 ' Braun' 6\n36392 ' Bravo' 6\n36393 ' Bread' 6\n36394 ' Break' 6\n36395 ' Brent' 6\n36396 ' Brett' 6\n36397 ' Brian' 6\n36398 ' Brief' 6\n36399 ' Brill' 6\n36400 ' Bring' 6\n36401 ' Britt' 6\n36402 ' Broad' 6\n36403 ' Brock' 6\n36404 ' Bronx' 6\n36405 ' Brook' 6\n36406 ' Brown' 6\n36407 ' Bruce' 6\n36408 ' Bruno' 6\n36409 ' Bryan' 6\n36410 ' Buddh' 6\n36411 ' Buddy' 6\n36412 ' Build' 6\n36413 ' Built' 6\n36414 ' Bulls' 6\n36415 ' Bunny' 6\n36416 ' Burke' 6\n36417 ' Burns' 6\n36418 ' Byron' 6\n36419 ' Bytes' 6\n36420 ' CHECK' 6\n36421 ' CLAIM' 6\n36422 ' CLASS' 6\n36423 ' CONST' 6\n36424 ' CONTR' 6\n36425 ' COUNT' 6\n36426 ' COURT' 6\n36427 ' COVID' 6\n36428 ' Cable' 6\n36429 ' Cache' 6\n36430 ' Café' 6\n36431 ' Cairo' 6\n36432 ' Calif' 6\n36433 ' Calls' 6\n36434 ' Canad' 6\n36435 ' Canal' 6\n36436 ' Candy' 6\n36437 ' Canon' 6\n36438 ' Cards' 6\n36439 ' Carey' 6\n36440 ' Carib' 6\n36441 ' Carlo' 6\n36442 ' Carol' 6\n36443 ' Cases' 6\n36444 ' Casey' 6\n36445 ' Catal' 6\n36446 ' Catch' 6\n36447 ' Cause' 6\n36448 ' Caval' 6\n36449 ' Cecil' 6\n36450 ' Cells' 6\n36451 ' Cette' 6\n36452 ' Chain' 6\n36453 ' Chair' 6\n36454 ' Chall' 6\n36455 ' Champ' 6\n36456 ' Chand' 6\n36457 ' Chang' 6\n36458 ' Chaos' 6\n36459 ' Charg' 6\n36460 ' Charl' 6\n36461 ' Chart' 6\n36462 ' Chase' 6\n36463 ' Check' 6\n36464 ' Cheng' 6\n36465 ' Chern' 6\n36466 ' Chess' 6\n36467 ' Chest' 6\n36468 ' Chick' 6\n36469 ' Chief' 6\n36470 ' Child' 6\n36471 ' Chile' 6\n36472 ' Chili' 6\n36473 ' China' 6\n36474 ' Chloe' 6\n36475 ' Chris' 6\n36476 ' Chrom' 6\n36477 ' Chron' 6\n36478 ' Chrys' 6\n36479 ' Chuck' 6\n36480 ' Chung' 6\n36481 ' Cindy' 6\n36482 ' Cisco' 6\n36483 ' Civic' 6\n36484 ' Civil' 6\n36485 ' Claim' 6\n36486 ' Clara' 6\n36487 ' Clare' 6\n36488 ' Clark' 6\n36489 ' Class' 6\n36490 ' Claud' 6\n36491 ' Claus' 6\n36492 ' Clean' 6\n36493 ' Clear' 6\n36494 ' Clerk' 6\n36495 ' Click' 6\n36496 ' Cliff' 6\n36497 ' Clint' 6\n36498 ' Clock' 6\n36499 ' Clone' 6\n36500 ' Close' 6\n36501 ' Cloud' 6\n36502 ' Clubs' 6\n36503 ' Coach' 6\n36504 ' Coast' 6\n36505 ' Cohen' 6\n36506 ' Colin' 6\n36507 ' Colon' 6\n36508 ' Color' 6\n36509 ' Combo' 6\n36510 ' Comey' 6\n36511 ' Comic' 6\n36512 ' Compl' 6\n36513 ' Congo' 6\n36514 ' Conse' 6\n36515 ' Const' 6\n36516 ' Contr' 6\n36517 ' Coord' 6\n36518 ' Coral' 6\n36519 ' Coron' 6\n36520 ' Corps' 6\n36521 ' Costa' 6\n36522 ' Costs' 6\n36523 ' Could' 6\n36524 ' Count' 6\n36525 ' Coupe' 6\n36526 ' Court' 6\n36527 ' Cover' 6\n36528 ' Covid' 6\n36529 ' Crack' 6\n36530 ' Craft' 6\n36531 ' Craig' 6\n36532 ' Crash' 6\n36533 ' Crazy' 6\n36534 ' Cream' 6\n36535 ' Creat' 6\n36536 ' Creek' 6\n36537 ' Crime' 6\n36538 ' Crist' 6\n36539 ' Cross' 6\n36540 ' Crown' 6\n36541 ' Crypt' 6\n36542 ' Cuban' 6\n36543 ' Curry' 6\n36544 ' Curve' 6\n36545 ' Cyber' 6\n36546 ' Cycle' 6\n36547 ' Czech' 6\n36548 ' DEBUG' 6\n36549 ' DWORD' 6\n36550 ' Daddy' 6\n36551 ' Daily' 6\n36552 ' Daisy' 6\n36553 ' Dance' 6\n36554 ' Danny' 6\n36555 ' Dante' 6\n36556 ' Daten' 6\n36557 ' Dates' 6\n36558 ' David' 6\n36559 ' Davis' 6\n36560 ' Death' 6\n36561 ' Debug' 6\n36562 ' Decor' 6\n36563 ' Decre' 6\n36564 ' Delay' 6\n36565 ' Delhi' 6\n36566 ' Delta' 6\n36567 ' Denis' 6\n36568 ' Dense' 6\n36569 ' Depth' 6\n36570 ' Derby' 6\n36571 ' Derek' 6\n36572 ' Desde' 6\n36573 ' Devil' 6\n36574 ' Devon' 6\n36575 ' Dhabi' 6\n36576 ' Diagn' 6\n36577 ' Diana' 6\n36578 ' Diane' 6\n36579 ' Diego' 6\n36580 ' Diese' 6\n36581 ' Dirac' 6\n36582 ' Dixon' 6\n36583 ' Dodge' 6\n36584 ' Doesn' 6\n36585 ' Doing' 6\n36586 ' Domin' 6\n36587 ' Donna' 6\n36588 ' Dover' 6\n36589 ' Doyle' 6\n36590 ' Draft' 6\n36591 ' Drain' 6\n36592 ' Drake' 6\n36593 ' Drama' 6\n36594 ' Dream' 6\n36595 ' Dress' 6\n36596 ' Drive' 6\n36597 ' Drugs' 6\n36598 ' Dubai' 6\n36599 ' Dutch' 6\n36600 ' Dylan' 6\n36601 ' Dynam' 6\n36602 ' Díaz' 6\n36603 ' ERROR' 6\n36604 ' EVENT' 6\n36605 ' EVERY' 6\n36606 ' Eagle' 6\n36607 ' Early' 6\n36608 ' Earth' 6\n36609 ' Ebola' 6\n36610 ' Eddie' 6\n36611 ' Edgar' 6\n36612 ' Edwin' 6\n36613 ' Egypt' 6\n36614 ' Eigen' 6\n36615 ' Eight' 6\n36616 ' Eisen' 6\n36617 ' Elder' 6\n36618 ' Elect' 6\n36619 ' Elena' 6\n36620 ' Elias' 6\n36621 ' Elite' 6\n36622 ' Ellen' 6\n36623 ' Ellis' 6\n36624 ' Elvis' 6\n36625 ' Email' 6\n36626 ' Embed' 6\n36627 ' Ember' 6\n36628 ' Emily' 6\n36629 ' Empty' 6\n36630 ' Engel' 6\n36631 ' Enjoy' 6\n36632 ' Enter' 6\n36633 ' Entre' 6\n36634 ' Entry' 6\n36635 ' Equal' 6\n36636 ' Equip' 6\n36637 ' Ernst' 6\n36638 ' Error' 6\n36639 ' Esper' 6\n36640 ' Essay' 6\n36641 ' Essex' 6\n36642 ' Eston' 6\n36643 ' Ethan' 6\n36644 ' Ether' 6\n36645 ' Euler' 6\n36646 ' Europ' 6\n36647 ' Evans' 6\n36648 ' Event' 6\n36649 ' Every' 6\n36650 ' Exact' 6\n36651 ' Excel' 6\n36652 ' Exped' 6\n36653 ' Exper' 6\n36654 ' Extra' 6\n36655 ' FALSE' 6\n36656 ' FIRST' 6\n36657 ' FIXME' 6\n36658 ' FLAGS' 6\n36659 ' Facts' 6\n36660 ' Faith' 6\n36661 ' Falls' 6\n36662 ' False' 6\n36663 ' Famil' 6\n36664 ' Fargo' 6\n36665 ' Fault' 6\n36666 ' Favor' 6\n36667 ' Feder' 6\n36668 ' Felix' 6\n36669 ' Femin' 6\n36670 ' Ferry' 6\n36671 ' Fetch' 6\n36672 ' Fiber' 6\n36673 ' Field' 6\n36674 ' Fifth' 6\n36675 ' Fifty' 6\n36676 ' Fight' 6\n36677 ' Filed' 6\n36678 ' Files' 6\n36679 ' Filip' 6\n36680 ' Films' 6\n36681 ' Final' 6\n36682 ' First' 6\n36683 ' Fixed' 6\n36684 ' Flags' 6\n36685 ' Flash' 6\n36686 ' Fleet' 6\n36687 ' Flint' 6\n36688 ' Float' 6\n36689 ' Flood' 6\n36690 ' Floor' 6\n36691 ' Flora' 6\n36692 ' Floyd' 6\n36693 ' Flynn' 6\n36694 ' Focus' 6\n36695 ' Foods' 6\n36696 ' Force' 6\n36697 ' Forms' 6\n36698 ' Forty' 6\n36699 ' Forum' 6\n36700 ' Found' 6\n36701 ' Frame' 6\n36702 ' Franc' 6\n36703 ' Frank' 6\n36704 ' Franz' 6\n36705 ' Fresh' 6\n36706 ' Freud' 6\n36707 ' Fried' 6\n36708 ' Fritz' 6\n36709 ' Front' 6\n36710 ' Frost' 6\n36711 ' Fruit' 6\n36712 ' Fully' 6\n36713 ' Funds' 6\n36714 ' GENER' 6\n36715 ' GNOME' 6\n36716 ' GOODS' 6\n36717 ' GROUP' 6\n36718 ' Games' 6\n36719 ' Gamma' 6\n36720 ' Gates' 6\n36721 ' Gauss' 6\n36722 ' Gavin' 6\n36723 ' Gener' 6\n36724 ' Geoff' 6\n36725 ' Georg' 6\n36726 ' Gesch' 6\n36727 ' Getty' 6\n36728 ' Ghana' 6\n36729 ' Ghost' 6\n36730 ' Giant' 6\n36731 ' Gibbs' 6\n36732 ' Girls' 6\n36733 ' Given' 6\n36734 ' Glass' 6\n36735 ' Glenn' 6\n36736 ' Globe' 6\n36737 ' Glory' 6\n36738 ' Gloss' 6\n36739 ' Gmail' 6\n36740 ' Goals' 6\n36741 ' Going' 6\n36742 ' Gomez' 6\n36743 ' Goods' 6\n36744 ' Gould' 6\n36745 ' Grace' 6\n36746 ' Grade' 6\n36747 ' Grand' 6\n36748 ' Grant' 6\n36749 ' Graph' 6\n36750 ' Grass' 6\n36751 ' Great' 6\n36752 ' Greek' 6\n36753 ' Green' 6\n36754 ' Griff' 6\n36755 ' Gross' 6\n36756 ' Group' 6\n36757 ' Grove' 6\n36758 ' Groß' 6\n36759 ' Grund' 6\n36760 ' Guang' 6\n36761 ' Guard' 6\n36762 ' Guest' 6\n36763 ' Guide' 6\n36764 ' Guild' 6\n36765 ' Guill' 6\n36766 ' Gupta' 6\n36767 ' Gött' 6\n36768 ' HTTPS' 6\n36769 ' Haiti' 6\n36770 ' Hamas' 6\n36771 ' Hands' 6\n36772 ' Happy' 6\n36773 ' Hardy' 6\n36774 ' Harry' 6\n36775 ' Hasan' 6\n36776 ' Haupt' 6\n36777 ' Haven' 6\n36778 ' Hawai' 6\n36779 ' Hawks' 6\n36780 ' Hayes' 6\n36781 ' Heads' 6\n36782 ' Heart' 6\n36783 ' Heath' 6\n36784 ' Heavy' 6\n36785 ' Helen' 6\n36786 ' Hello' 6\n36787 ' Hence' 6\n36788 ' Henri' 6\n36789 ' Henry' 6\n36790 ' Hicks' 6\n36791 ' Higgs' 6\n36792 ' Hills' 6\n36793 ' Himal' 6\n36794 ' Hindi' 6\n36795 ' Hindu' 6\n36796 ' Hitch' 6\n36797 ' Hogan' 6\n36798 ' Holly' 6\n36799 ' Homer' 6\n36800 ' Homes' 6\n36801 ' Honda' 6\n36802 ' Honey' 6\n36803 ' Honor' 6\n36804 ' Horse' 6\n36805 ' Hotel' 6\n36806 ' Hours' 6\n36807 ' House' 6\n36808 ' Huang' 6\n36809 ' Human' 6\n36810 ' Humph' 6\n36811 ' Hutch' 6\n36812 ' Hydro' 6\n36813 ' Hyper' 6\n36814 ' Höhe' 6\n36815 ' INDEX' 6\n36816 ' INNER' 6\n36817 ' INPUT' 6\n36818 ' INTER' 6\n36819 ' Idaho' 6\n36820 ' Ideal' 6\n36821 ' Ideas' 6\n36822 ' Ident' 6\n36823 ' Image' 6\n36824 ' Immun' 6\n36825 ' Imper' 6\n36826 ' Impro' 6\n36827 ' Incre' 6\n36828 ' Index' 6\n36829 ' India' 6\n36830 ' Indic' 6\n36831 ' Infer' 6\n36832 ' Influ' 6\n36833 ' Initi' 6\n36834 ' Inner' 6\n36835 ' Innov' 6\n36836 ' Input' 6\n36837 ' Instr' 6\n36838 ' Intel' 6\n36839 ' Inter' 6\n36840 ' Intro' 6\n36841 ' Iraqi' 6\n36842 ' Irene' 6\n36843 ' Irish' 6\n36844 ' Isaac' 6\n36845 ' Islam' 6\n36846 ' Issue' 6\n36847 ' Italy' 6\n36848 ' Items' 6\n36849 ' Jacob' 6\n36850 ' Jahre' 6\n36851 ' James' 6\n36852 ' Jamie' 6\n36853 ' Janet' 6\n36854 ' Japan' 6\n36855 ' Jared' 6\n36856 ' Jason' 6\n36857 ' Jenny' 6\n36858 ' Jerry' 6\n36859 ' Jesse' 6\n36860 ' Jesus' 6\n36861 ' Jiang' 6\n36862 ' Jimmy' 6\n36863 ' Johan' 6\n36864 ' Johns' 6\n36865 ' Joint' 6\n36866 ' Joker' 6\n36867 ' Jonas' 6\n36868 ' Jones' 6\n36869 ' Jorge' 6\n36870 ' Josef' 6\n36871 ' José' 6\n36872 ' Joyce' 6\n36873 ' João' 6\n36874 ' Judge' 6\n36875 ' Julia' 6\n36876 ' Julie' 6\n36877 ' Kabul' 6\n36878 ' Kafka' 6\n36879 ' Kanye' 6\n36880 ' Karen' 6\n36881 ' Kathy' 6\n36882 ' Katie' 6\n36883 ' Keith' 6\n36884 ' Kelly' 6\n36885 ' Kenny' 6\n36886 ' Kenya' 6\n36887 ' Kerry' 6\n36888 ' Kevin' 6\n36889 ' Kings' 6\n36890 ' Kirby' 6\n36891 ' Kitty' 6\n36892 ' Klaus' 6\n36893 ' Klein' 6\n36894 ' Knock' 6\n36895 ' Known' 6\n36896 ' Korea' 6\n36897 ' Kraft' 6\n36898 ' Krish' 6\n36899 ' Krist' 6\n36900 ' Kumar' 6\n36901 ' Kunst' 6\n36902 ' Kyoto' 6\n36903 ' Köln' 6\n36904 ' LIMIT' 6\n36905 ' LOCAL' 6\n36906 ' LaTeX' 6\n36907 ' Label' 6\n36908 ' Labor' 6\n36909 ' Laden' 6\n36910 ' Lakes' 6\n36911 ' Lance' 6\n36912 ' Lands' 6\n36913 ' Lange' 6\n36914 ' Lanka' 6\n36915 ' Large' 6\n36916 ' Larry' 6\n36917 ' Laser' 6\n36918 ' Later' 6\n36919 ' Latin' 6\n36920 ' Laura' 6\n36921 ' Laure' 6\n36922 ' Layer' 6\n36923 ' Learn' 6\n36924 ' Leave' 6\n36925 ' Leban' 6\n36926 ' Leeds' 6\n36927 ' Legal' 6\n36928 ' Leigh' 6\n36929 ' Lemma' 6\n36930 ' Lemon' 6\n36931 ' Lenin' 6\n36932 ' Leone' 6\n36933 ' Level' 6\n36934 ' Lever' 6\n36935 ' Levin' 6\n36936 ' Lewis' 6\n36937 ' León' 6\n36938 ' Liber' 6\n36939 ' Libre' 6\n36940 ' Libya' 6\n36941 ' Light' 6\n36942 ' Limit' 6\n36943 ' Linda' 6\n36944 ' Lines' 6\n36945 ' Links' 6\n36946 ' Linux' 6\n36947 ' Lions' 6\n36948 ' Lista' 6\n36949 ' Liste' 6\n36950 ' Lists' 6\n36951 ' Liter' 6\n36952 ' Liver' 6\n36953 ' Lives' 6\n36954 ' Lloyd' 6\n36955 ' Local' 6\n36956 ' Locke' 6\n36957 ' Lodge' 6\n36958 ' Logan' 6\n36959 ' Logic' 6\n36960 ' Login' 6\n36961 ' Looks' 6\n36962 ' Lopez' 6\n36963 ' Lords' 6\n36964 ' Loren' 6\n36965 ' Lotus' 6\n36966 ' Louis' 6\n36967 ' Lower' 6\n36968 ' Lucas' 6\n36969 ' Lucia' 6\n36970 ' Lucky' 6\n36971 ' Luigi' 6\n36972 ' Lynch' 6\n36973 ' MODEL' 6\n36974 ' Maced' 6\n36975 ' Macro' 6\n36976 ' Magic' 6\n36977 ' Maine' 6\n36978 ' Maint' 6\n36979 ' Major' 6\n36980 ' Maker' 6\n36981 ' Makes' 6\n36982 ' Malay' 6\n36983 ' Malik' 6\n36984 ' Malta' 6\n36985 ' Manit' 6\n36986 ' Manor' 6\n36987 ' Maple' 6\n36988 ' March' 6\n36989 ' Marco' 6\n36990 ' Maria' 6\n36991 ' Marie' 6\n36992 ' Marin' 6\n36993 ' Mario' 6\n36994 ' Marks' 6\n36995 ' Marsh' 6\n36996 ' Marty' 6\n36997 ' Mason' 6\n36998 ' Match' 6\n36999 ' Mater' 6\n37000 ' Matth' 6\n37001 ' Maven' 6\n37002 ' Maver' 6\n37003 ' Maxim' 6\n37004 ' Maybe' 6\n37005 ' Mayer' 6\n37006 ' Mayor' 6\n37007 ' Mazda' 6\n37008 ' McCoy' 6\n37009 ' McKin' 6\n37010 ' Means' 6\n37011 ' Medal' 6\n37012 ' Media' 6\n37013 ' Medic' 6\n37014 ' Megan' 6\n37015 ' Memor' 6\n37016 ' Mercy' 6\n37017 ' Merge' 6\n37018 ' Messi' 6\n37019 ' Metal' 6\n37020 ' Meter' 6\n37021 ' Metro' 6\n37022 ' Meyer' 6\n37023 ' Miami' 6\n37024 ' Micha' 6\n37025 ' Miche' 6\n37026 ' Micro' 6\n37027 ' Might' 6\n37028 ' Milan' 6\n37029 ' Miles' 6\n37030 ' Milky' 6\n37031 ' Mills' 6\n37032 ' Minor' 6\n37033 ' Mitch' 6\n37034 ' Mixed' 6\n37035 ' Mobil' 6\n37036 ' Modal' 6\n37037 ' Model' 6\n37038 ' Modes' 6\n37039 ' Molly' 6\n37040 ' Money' 6\n37041 ' Mongo' 6\n37042 ' Monte' 6\n37043 ' Month' 6\n37044 ' Moody' 6\n37045 ' Moore' 6\n37046 ' Moral' 6\n37047 ' Moran' 6\n37048 ' Morph' 6\n37049 ' Morse' 6\n37050 ' Moses' 6\n37051 ' Motor' 6\n37052 ' Mount' 6\n37053 ' Mouse' 6\n37054 ' Movie' 6\n37055 ' Multi' 6\n37056 ' Mundo' 6\n37057 ' Music' 6\n37058 ' Musik' 6\n37059 ' MySQL' 6\n37060 ' Myers' 6\n37061 ' März' 6\n37062 ' NEVER' 6\n37063 ' NSLog' 6\n37064 ' Named' 6\n37065 ' Names' 6\n37066 ' Nancy' 6\n37067 ' Natal' 6\n37068 ' Natur' 6\n37069 ' Naval' 6\n37070 ' Nazis' 6\n37071 ' Needs' 6\n37072 ' Negro' 6\n37073 ' Nepal' 6\n37074 ' Neuro' 6\n37075 ' Never' 6\n37076 ' Newsp' 6\n37077 ' Nexus' 6\n37078 ' Nicol' 6\n37079 ' Nigel' 6\n37080 ' Niger' 6\n37081 ' Night' 6\n37082 ' Nikol' 6\n37083 ' Ninja' 6\n37084 ' Ninth' 6\n37085 ' Nixon' 6\n37086 ' Niño' 6\n37087 ' Nobel' 6\n37088 ' Noble' 6\n37089 ' Nodes' 6\n37090 ' Noise' 6\n37091 ' Nokia' 6\n37092 ' Nolan' 6\n37093 ' Norte' 6\n37094 ' North' 6\n37095 ' Notes' 6\n37096 ' Notre' 6\n37097 ' Novel' 6\n37098 ' Numer' 6\n37099 ' Nurse' 6\n37100 ' OAuth' 6\n37101 ' ORDER' 6\n37102 ' OTHER' 6\n37103 ' Obama' 6\n37104 ' Occup' 6\n37105 ' Ocean' 6\n37106 ' Offer' 6\n37107 ' Offic' 6\n37108 ' Often' 6\n37109 ' Olive' 6\n37110 ' Olson' 6\n37111 ' Olymp' 6\n37112 ' Omaha' 6\n37113 ' Omega' 6\n37114 ' Opera' 6\n37115 ' Optim' 6\n37116 ' Order' 6\n37117 ' Organ' 6\n37118 ' Orion' 6\n37119 ' Osaka' 6\n37120 ' Oscar' 6\n37121 ' Other' 6\n37122 ' Outer' 6\n37123 ' Owens' 6\n37124 ' Owner' 6\n37125 ' PHOTO' 6\n37126 ' Pablo' 6\n37127 ' Pages' 6\n37128 ' Paint' 6\n37129 ' Palin' 6\n37130 ' Panda' 6\n37131 ' Panel' 6\n37132 ' Paolo' 6\n37133 ' Paper' 6\n37134 ' Papua' 6\n37135 ' Parad' 6\n37136 ' Param' 6\n37137 ' Paras' 6\n37138 ' Paris' 6\n37139 ' Parks' 6\n37140 ' Parse' 6\n37141 ' Parts' 6\n37142 ' Party' 6\n37143 ' Patch' 6\n37144 ' Patel' 6\n37145 ' Patri' 6\n37146 ' Paula' 6\n37147 ' Paulo' 6\n37148 ' Pavel' 6\n37149 ' Payne' 6\n37150 ' País' 6\n37151 ' Peace' 6\n37152 ' Pearl' 6\n37153 ' Pedro' 6\n37154 ' Penal' 6\n37155 ' Pence' 6\n37156 ' Penny' 6\n37157 ' Percy' 6\n37158 ' Perez' 6\n37159 ' Perry' 6\n37160 ' Perth' 6\n37161 ' Perú' 6\n37162 ' Peter' 6\n37163 ' Petro' 6\n37164 ' Pharm' 6\n37165 ' Phase' 6\n37166 ' Phill' 6\n37167 ' Phone' 6\n37168 ' Photo' 6\n37169 ' Piece' 6\n37170 ' Pilot' 6\n37171 ' Piper' 6\n37172 ' Pitts' 6\n37173 ' Pixel' 6\n37174 ' Pizza' 6\n37175 ' Place' 6\n37176 ' Plain' 6\n37177 ' Plane' 6\n37178 ' Plans' 6\n37179 ' Plant' 6\n37180 ' Plate' 6\n37181 ' Plato' 6\n37182 ' Plaza' 6\n37183 ' Pluto' 6\n37184 ' Point' 6\n37185 ' Polar' 6\n37186 ' Polic' 6\n37187 ' Polit' 6\n37188 ' Pompe' 6\n37189 ' Porto' 6\n37190 ' Ports' 6\n37191 ' Posts' 6\n37192 ' Power' 6\n37193 ' Pract' 6\n37194 ' Preis' 6\n37195 ' Press' 6\n37196 ' Prest' 6\n37197 ' Price' 6\n37198 ' Pride' 6\n37199 ' Prime' 6\n37200 ' Princ' 6\n37201 ' Print' 6\n37202 ' Prior' 6\n37203 ' Prism' 6\n37204 ' Prize' 6\n37205 ' Produ' 6\n37206 ' Proof' 6\n37207 ' Prote' 6\n37208 ' Proto' 6\n37209 ' Proxy' 6\n37210 ' Prés' 6\n37211 ' Pseud' 6\n37212 ' Psych' 6\n37213 ' Putin' 6\n37214 ' Qaeda' 6\n37215 ' Qatar' 6\n37216 ' QtGui' 6\n37217 ' Quant' 6\n37218 ' Quart' 6\n37219 ' Queen' 6\n37220 ' Query' 6\n37221 ' Quest' 6\n37222 ' Queue' 6\n37223 ' Quick' 6\n37224 ' Quinn' 6\n37225 ' Quint' 6\n37226 ' Quite' 6\n37227 ' Quote' 6\n37228 ' Quran' 6\n37229 ' RIGHT' 6\n37230 ' Rabbi' 6\n37231 ' Radio' 6\n37232 ' Rails' 6\n37233 ' Rally' 6\n37234 ' Ralph' 6\n37235 ' Raman' 6\n37236 ' Ramos' 6\n37237 ' Ranch' 6\n37238 ' Randy' 6\n37239 ' Range' 6\n37240 ' Rapid' 6\n37241 ' Rates' 6\n37242 ' Ratio' 6\n37243 ' Raven' 6\n37244 ' React' 6\n37245 ' Ready' 6\n37246 ' Rebel' 6\n37247 ' Recon' 6\n37248 ' Redis' 6\n37249 ' Refer' 6\n37250 ' Regex' 6\n37251 ' Reich' 6\n37252 ' Renew' 6\n37253 ' René' 6\n37254 ' Reply' 6\n37255 ' Reset' 6\n37256 ' Retro' 6\n37257 ' Revel' 6\n37258 ' Rever' 6\n37259 ' Rhode' 6\n37260 ' Ricky' 6\n37261 ' Rider' 6\n37262 ' Ridge' 6\n37263 ' Right' 6\n37264 ' Riley' 6\n37265 ' Rings' 6\n37266 ' River' 6\n37267 ' Robin' 6\n37268 ' Robot' 6\n37269 ' Roche' 6\n37270 ' Rocky' 6\n37271 ' Roger' 6\n37272 ' Roman' 6\n37273 ' Romeo' 6\n37274 ' Româ' 6\n37275 ' Rosen' 6\n37276 ' Rossi' 6\n37277 ' Rouge' 6\n37278 ' Rough' 6\n37279 ' Round' 6\n37280 ' Route' 6\n37281 ' Rover' 6\n37282 ' Royal' 6\n37283 ' Rubio' 6\n37284 ' Rugby' 6\n37285 ' Rules' 6\n37286 ' Rural' 6\n37287 ' Russo' 6\n37288 ' Rück' 6\n37289 ' SHALL' 6\n37290 ' SMALL' 6\n37291 ' SPACE' 6\n37292 ' START' 6\n37293 ' STATE' 6\n37294 ' Sabha' 6\n37295 ' Sachs' 6\n37296 ' Sadly' 6\n37297 ' Saint' 6\n37298 ' Salad' 6\n37299 ' Salem' 6\n37300 ' Sales' 6\n37301 ' Sally' 6\n37302 ' Salon' 6\n37303 ' Samoa' 6\n37304 ' Sanct' 6\n37305 ' Sandy' 6\n37306 ' Santa' 6\n37307 ' Santo' 6\n37308 ' Sarah' 6\n37309 ' Satan' 6\n37310 ' Sauce' 6\n37311 ' Saudi' 6\n37312 ' Scala' 6\n37313 ' Scale' 6\n37314 ' Scene' 6\n37315 ' Sched' 6\n37316 ' Schne' 6\n37317 ' Schul' 6\n37318 ' Schwe' 6\n37319 ' Score' 6\n37320 ' Scots' 6\n37321 ' Scott' 6\n37322 ' Scout' 6\n37323 ' Seems' 6\n37324 ' Seite' 6\n37325 ' Sense' 6\n37326 ' Seoul' 6\n37327 ' Separ' 6\n37328 ' Serge' 6\n37329 ' Serie' 6\n37330 ' Serum' 6\n37331 ' Serve' 6\n37332 ' Setup' 6\n37333 ' Seven' 6\n37334 ' Sever' 6\n37335 ' Shall' 6\n37336 ' Shane' 6\n37337 ' Shang' 6\n37338 ' Shape' 6\n37339 ' Share' 6\n37340 ' Sharp' 6\n37341 ' Shawn' 6\n37342 ' Sheet' 6\n37343 ' Shell' 6\n37344 ' Shift' 6\n37345 ' Shock' 6\n37346 ' Shore' 6\n37347 ' Short' 6\n37348 ' Shows' 6\n37349 ' Siber' 6\n37350 ' Sigma' 6\n37351 ' Silva' 6\n37352 ' Simon' 6\n37353 ' Simpl' 6\n37354 ' Since' 6\n37355 ' Singh' 6\n37356 ' Sites' 6\n37357 ' Sixth' 6\n37358 ' Skill' 6\n37359 ' Skype' 6\n37360 ' Sleep' 6\n37361 ' Small' 6\n37362 ' Smart' 6\n37363 ' Smith' 6\n37364 ' Snake' 6\n37365 ' Solar' 6\n37366 ' Solid' 6\n37367 ' Solve' 6\n37368 ' Songs' 6\n37369 ' Sorry' 6\n37370 ' Sound' 6\n37371 ' South' 6\n37372 ' Space' 6\n37373 ' Spain' 6\n37374 ' Spark' 6\n37375 ' Spart' 6\n37376 ' Spect' 6\n37377 ' Speed' 6\n37378 ' Spell' 6\n37379 ' Spiel' 6\n37380 ' Split' 6\n37381 ' Sport' 6\n37382 ' Spurs' 6\n37383 ' Squad' 6\n37384 ' Stack' 6\n37385 ' Stadt' 6\n37386 ' Staff' 6\n37387 ' Stage' 6\n37388 ' Stall' 6\n37389 ' Stand' 6\n37390 ' Stark' 6\n37391 ' Stars' 6\n37392 ' Start' 6\n37393 ' State' 6\n37394 ' Stats' 6\n37395 ' Steam' 6\n37396 ' Steel' 6\n37397 ' Stein' 6\n37398 ' Steph' 6\n37399 ' Steps' 6\n37400 ' Stern' 6\n37401 ' Steve' 6\n37402 ' Stick' 6\n37403 ' Still' 6\n37404 ' Stock' 6\n37405 ' Stone' 6\n37406 ' Store' 6\n37407 ' Storm' 6\n37408 ' Story' 6\n37409 ' Strat' 6\n37410 ' Strip' 6\n37411 ' Study' 6\n37412 ' Style' 6\n37413 ' Städ' 6\n37414 ' Sudan' 6\n37415 ' Sugar' 6\n37416 ' Suite' 6\n37417 ' Sunni' 6\n37418 ' Sunny' 6\n37419 ' Super' 6\n37420 ' Susan' 6\n37421 ' Sweet' 6\n37422 ' Swift' 6\n37423 ' Swing' 6\n37424 ' Swiss' 6\n37425 ' Sword' 6\n37426 ' Syria' 6\n37427 ' TABLE' 6\n37428 ' THREE' 6\n37429 ' TODAY' 6\n37430 ' TOTAL' 6\n37431 ' TRANS' 6\n37432 ' Table' 6\n37433 ' Taken' 6\n37434 ' Takes' 6\n37435 ' Tales' 6\n37436 ' Tamil' 6\n37437 ' Tampa' 6\n37438 ' Tasks' 6\n37439 ' Teams' 6\n37440 ' Techn' 6\n37441 ' Teddy' 6\n37442 ' Terms' 6\n37443 ' Terra' 6\n37444 ' Terry' 6\n37445 ' Tesla' 6\n37446 ' Tests' 6\n37447 ' Texas' 6\n37448 ' Thank' 6\n37449 ' Their' 6\n37450 ' Theme' 6\n37451 ' There' 6\n37452 ' Therm' 6\n37453 ' These' 6\n37454 ' Thing' 6\n37455 ' Think' 6\n37456 ' Third' 6\n37457 ' Thorn' 6\n37458 ' Those' 6\n37459 ' Three' 6\n37460 ' Throw' 6\n37461 ' Tibet' 6\n37462 ' Tiger' 6\n37463 ' Timer' 6\n37464 ' Times' 6\n37465 ' Titan' 6\n37466 ' Title' 6\n37467 ' Toast' 6\n37468 ' Today' 6\n37469 ' Token' 6\n37470 ' Tokyo' 6\n37471 ' Tomas' 6\n37472 ' Tommy' 6\n37473 ' Tools' 6\n37474 ' Topic' 6\n37475 ' Torah' 6\n37476 ' Total' 6\n37477 ' Touch' 6\n37478 ' Tours' 6\n37479 ' Tová' 6\n37480 ' Tower' 6\n37481 ' Trace' 6\n37482 ' Track' 6\n37483 ' Tracy' 6\n37484 ' Trade' 6\n37485 ' Trail' 6\n37486 ' Train' 6\n37487 ' Trans' 6\n37488 ' Treat' 6\n37489 ' Trees' 6\n37490 ' Trent' 6\n37491 ' Trial' 6\n37492 ' Tribe' 6\n37493 ' Truck' 6\n37494 ' Trump' 6\n37495 ' Trust' 6\n37496 ' Truth' 6\n37497 ' Tunis' 6\n37498 ' Tuple' 6\n37499 ' Turbo' 6\n37500 ' Turks' 6\n37501 ' Tweet' 6\n37502 ' Twist' 6\n37503 ' Tyler' 6\n37504 ' Types' 6\n37505 ' Tyson' 6\n37506 ' UNION' 6\n37507 ' Ultra' 6\n37508 ' Uncle' 6\n37509 ' Under' 6\n37510 ' Union' 6\n37511 ' Units' 6\n37512 ' Unity' 6\n37513 ' Unter' 6\n37514 ' Until' 6\n37515 ' Upper' 6\n37516 ' Urban' 6\n37517 ' Usage' 6\n37518 ' Users' 6\n37519 ' Using' 6\n37520 ' Utils' 6\n37521 ' VALUE' 6\n37522 ' VIDEO' 6\n37523 ' Valid' 6\n37524 ' Valle' 6\n37525 ' Value' 6\n37526 ' Vaugh' 6\n37527 ' Vegas' 6\n37528 ' Veget' 6\n37529 ' Venez' 6\n37530 ' Venus' 6\n37531 ' Verde' 6\n37532 ' Veter' 6\n37533 ' Video' 6\n37534 ' Views' 6\n37535 ' Villa' 6\n37536 ' Ville' 6\n37537 ' Vince' 6\n37538 ' Virus' 6\n37539 ' Visit' 6\n37540 ' Vista' 6\n37541 ' Vital' 6\n37542 ' Você' 6\n37543 ' Voice' 6\n37544 ' Volks' 6\n37545 ' WHERE' 6\n37546 ' Wales' 6\n37547 ' Walsh' 6\n37548 ' Waste' 6\n37549 ' Watch' 6\n37550 ' Water' 6\n37551 ' Watts' 6\n37552 ' Wayne' 6\n37553 ' Weber' 6\n37554 ' Weiss' 6\n37555 ' Welch' 6\n37556 ' Wells' 6\n37557 ' Welsh' 6\n37558 ' Wendy' 6\n37559 ' Whats' 6\n37560 ' Wheat' 6\n37561 ' Wheel' 6\n37562 ' Where' 6\n37563 ' Which' 6\n37564 ' While' 6\n37565 ' White' 6\n37566 ' Whole' 6\n37567 ' Width' 6\n37568 ' Wiley' 6\n37569 ' Wings' 6\n37570 ' Witch' 6\n37571 ' Woman' 6\n37572 ' Women' 6\n37573 ' Woods' 6\n37574 ' Words' 6\n37575 ' Works' 6\n37576 ' World' 6\n37577 ' Worth' 6\n37578 ' Would' 6\n37579 ' Wrest' 6\n37580 ' Write' 6\n37581 ' Wrong' 6\n37582 ' Yahoo' 6\n37583 ' Years' 6\n37584 ' Yemen' 6\n37585 ' Yield' 6\n37586 ' Young' 6\n37587 ' Youth' 6\n37588 ' Zhang' 6\n37589 ' Zheng' 6\n37590 ' [...]' 6\n37591 ' […]' 6\n37592 ' _____' 6\n37593 ' abbre' 6\n37594 ' abdom' 6\n37595 ' aberr' 6\n37596 ' abide' 6\n37597 ' abort' 6\n37598 ' about' 6\n37599 ' above' 6\n37600 ' abras' 6\n37601 ' abril' 6\n37602 ' absol' 6\n37603 ' absor' 6\n37604 ' abund' 6\n37605 ' abuse' 6\n37606 ' accel' 6\n37607 ' accom' 6\n37608 ' accru' 6\n37609 ' accum' 6\n37610 ' accur' 6\n37611 ' accus' 6\n37612 ' achie' 6\n37613 ' acids' 6\n37614 ' acres' 6\n37615 ' acted' 6\n37616 ' activ' 6\n37617 ' actor' 6\n37618 ' acute' 6\n37619 ' adapt' 6\n37620 ' added' 6\n37621 ' adequ' 6\n37622 ' adher' 6\n37623 ' adjud' 6\n37624 ' admin' 6\n37625 ' admit' 6\n37626 ' adopt' 6\n37627 ' adren' 6\n37628 ' adult' 6\n37629 ' advis' 6\n37630 ' advoc' 6\n37631 ' aeros' 6\n37632 ' afirm' 6\n37633 ' afore' 6\n37634 ' after' 6\n37635 ' again' 6\n37636 ' agent' 6\n37637 ' aging' 6\n37638 ' agony' 6\n37639 ' agora' 6\n37640 ' agree' 6\n37641 ' agric' 6\n37642 ' ahead' 6\n37643 ' ahora' 6\n37644 ' aided' 6\n37645 ' aides' 6\n37646 ' aimed' 6\n37647 ' ainda' 6\n37648 ' ainsi' 6\n37649 ' aired' 6\n37650 ' aisle' 6\n37651 ' aktiv' 6\n37652 ' alarm' 6\n37653 ' album' 6\n37654 ' alcan' 6\n37655 ' alert' 6\n37656 ' algae' 6\n37657 ' algun' 6\n37658 ' alias' 6\n37659 ' alien' 6\n37660 ' align' 6\n37661 ' alike' 6\n37662 ' aliqu' 6\n37663 ' alive' 6\n37664 ' alkal' 6\n37665 ' alkyl' 6\n37666 ' alleg' 6\n37667 ' allem' 6\n37668 ' allen' 6\n37669 ' aller' 6\n37670 ' alles' 6\n37671 ' allev' 6\n37672 ' alley' 6\n37673 ' alloc' 6\n37674 ' allot' 6\n37675 ' allow' 6\n37676 ' alloy' 6\n37677 ' alone' 6\n37678 ' along' 6\n37679 ' alors' 6\n37680 ' aloud' 6\n37681 ' alpha' 6\n37682 ' altar' 6\n37683 ' alter' 6\n37684 ' altre' 6\n37685 ' altru' 6\n37686 ' além' 6\n37687 ' amalg' 6\n37688 ' ambit' 6\n37689 ' ambos' 6\n37690 ' ambul' 6\n37691 ' amend' 6\n37692 ' amino' 6\n37693 ' ammon' 6\n37694 ' among' 6\n37695 ' ample' 6\n37696 ' analy' 6\n37697 ' anche' 6\n37698 ' andra' 6\n37699 ' anecd' 6\n37700 ' anest' 6\n37701 ' angel' 6\n37702 ' anger' 6\n37703 ' angle' 6\n37704 ' angry' 6\n37705 ' anime' 6\n37706 ' ankle' 6\n37707 ' annex' 6\n37708 ' annot' 6\n37709 ' annoy' 6\n37710 ' antes' 6\n37711 ' antib' 6\n37712 ' antic' 6\n37713 ' antid' 6\n37714 ' antim' 6\n37715 ' antip' 6\n37716 ' antis' 6\n37717 ' antit' 6\n37718 ' antiv' 6\n37719 ' anál' 6\n37720 ' août' 6\n37721 ' apare' 6\n37722 ' apart' 6\n37723 ' aplic' 6\n37724 ' apopt' 6\n37725 ' apost' 6\n37726 ' appar' 6\n37727 ' appel' 6\n37728 ' appet' 6\n37729 ' apple' 6\n37730 ' apply' 6\n37731 ' appro' 6\n37732 ' april' 6\n37733 ' após' 6\n37734 ' aquí' 6\n37735 ' arXiv' 6\n37736 ' arbit' 6\n37737 ' arche' 6\n37738 ' areas' 6\n37739 ' arena' 6\n37740 ' argue' 6\n37741 ' arise' 6\n37742 ' arist' 6\n37743 ' armed' 6\n37744 ' armor' 6\n37745 ' aroma' 6\n37746 ' arose' 6\n37747 ' array' 6\n37748 ' arriv' 6\n37749 ' arrog' 6\n37750 ' arrow' 6\n37751 ' arsen' 6\n37752 ' arter' 6\n37753 ' artic' 6\n37754 ' ashes' 6\n37755 ' aside' 6\n37756 ' asked' 6\n37757 ' aspir' 6\n37758 ' assay' 6\n37759 ' asset' 6\n37760 ' assez' 6\n37761 ' assim' 6\n37762 ' assum' 6\n37763 ' aster' 6\n37764 ' aston' 6\n37765 ' astro' 6\n37766 ' async' 6\n37767 ' atlas' 6\n37768 ' atmos' 6\n37769 ' atoms' 6\n37770 ' atroc' 6\n37771 ' atten' 6\n37772 ' attrs' 6\n37773 ' atual' 6\n37774 ' audio' 6\n37775 ' audit' 6\n37776 ' aussi' 6\n37777 ' autoc' 6\n37778 ' autom' 6\n37779 ' autop' 6\n37780 ' autor' 6\n37781 ' autos' 6\n37782 ' autre' 6\n37783 ' avail' 6\n37784 ' avait' 6\n37785 ' avant' 6\n37786 ' avoid' 6\n37787 ' avoir' 6\n37788 ' avons' 6\n37789 ' avril' 6\n37790 ' await' 6\n37791 ' awake' 6\n37792 ' award' 6\n37793 ' aware' 6\n37794 ' awful' 6\n37795 ' axial' 6\n37796 ' ayant' 6\n37797 ' azure' 6\n37798 ' años' 6\n37799 ' backs' 6\n37800 ' bacon' 6\n37801 ' badge' 6\n37802 ' badly' 6\n37803 ' baked' 6\n37804 ' balls' 6\n37805 ' banda' 6\n37806 ' bande' 6\n37807 ' bands' 6\n37808 ' banks' 6\n37809 ' basal' 6\n37810 ' based' 6\n37811 ' bases' 6\n37812 ' basic' 6\n37813 ' basil' 6\n37814 ' basin' 6\n37815 ' basis' 6\n37816 ' batch' 6\n37817 ' baths' 6\n37818 ' beach' 6\n37819 ' beads' 6\n37820 ' beams' 6\n37821 ' beans' 6\n37822 ' beard' 6\n37823 ' bears' 6\n37824 ' beast' 6\n37825 ' beats' 6\n37826 ' beaut' 6\n37827 ' beers' 6\n37828 ' began' 6\n37829 ' begin' 6\n37830 ' begun' 6\n37831 ' behav' 6\n37832 ' being' 6\n37833 ' belie' 6\n37834 ' belle' 6\n37835 ' bells' 6\n37836 ' belly' 6\n37837 ' below' 6\n37838 ' belts' 6\n37839 ' bench' 6\n37840 ' benef' 6\n37841 ' beste' 6\n37842 ' bibli' 6\n37843 ' bikes' 6\n37844 ' bills' 6\n37845 ' binds' 6\n37846 ' birds' 6\n37847 ' birth' 6\n37848 ' bitch' 6\n37849 ' bites' 6\n37850 ' black' 6\n37851 ' blade' 6\n37852 ' blame' 6\n37853 ' blanc' 6\n37854 ' bland' 6\n37855 ' blank' 6\n37856 ' blast' 6\n37857 ' blaze' 6\n37858 ' bleak' 6\n37859 ' bleed' 6\n37860 ' blend' 6\n37861 ' bless' 6\n37862 ' blind' 6\n37863 ' blink' 6\n37864 ' bliss' 6\n37865 ' blobs' 6\n37866 ' block' 6\n37867 ' blogs' 6\n37868 ' blond' 6\n37869 ' blood' 6\n37870 ' bloom' 6\n37871 ' bloss' 6\n37872 ' blown' 6\n37873 ' blows' 6\n37874 ' blues' 6\n37875 ' blunt' 6\n37876 ' board' 6\n37877 ' boast' 6\n37878 ' boats' 6\n37879 ' bolts' 6\n37880 ' bombs' 6\n37881 ' bonds' 6\n37882 ' bones' 6\n37883 ' bonne' 6\n37884 ' bonus' 6\n37885 ' books' 6\n37886 ' boost' 6\n37887 ' booth' 6\n37888 ' boots' 6\n37889 ' bored' 6\n37890 ' borne' 6\n37891 ' botan' 6\n37892 ' bound' 6\n37893 ' bowed' 6\n37894 ' bowel' 6\n37895 ' bowls' 6\n37896 ' boxes' 6\n37897 ' brace' 6\n37898 ' brain' 6\n37899 ' brake' 6\n37900 ' brand' 6\n37901 ' brass' 6\n37902 ' brave' 6\n37903 ' bread' 6\n37904 ' break' 6\n37905 ' breat' 6\n37906 ' breed' 6\n37907 ' brick' 6\n37908 ' bride' 6\n37909 ' brief' 6\n37910 ' brill' 6\n37911 ' bring' 6\n37912 ' brisk' 6\n37913 ' broad' 6\n37914 ' broch' 6\n37915 ' broke' 6\n37916 ' broth' 6\n37917 ' brown' 6\n37918 ' brows' 6\n37919 ' brush' 6\n37920 ' brute' 6\n37921 ' bucks' 6\n37922 ' buddy' 6\n37923 ' build' 6\n37924 ' built' 6\n37925 ' bulbs' 6\n37926 ' bulky' 6\n37927 ' bully' 6\n37928 ' bumps' 6\n37929 ' bunch' 6\n37930 ' burgl' 6\n37931 ' burns' 6\n37932 ' burnt' 6\n37933 ' burst' 6\n37934 ' buses' 6\n37935 ' buyer' 6\n37936 ' bytes' 6\n37937 ' była' 6\n37938 ' było' 6\n37939 ' både' 6\n37940 ' bạn' 6\n37941 ' cabin' 6\n37942 ' cable' 6\n37943 ' cache' 6\n37944 ' cadre' 6\n37945 ' caffe' 6\n37946 ' café' 6\n37947 ' cages' 6\n37948 ' cakes' 6\n37949 ' calls' 6\n37950 ' calor' 6\n37951 ' camel' 6\n37952 ' campo' 6\n37953 ' camps' 6\n37954 ' canal' 6\n37955 ' candy' 6\n37956 ' canoe' 6\n37957 ' canon' 6\n37958 ' capac' 6\n37959 ' capit' 6\n37960 ' cardi' 6\n37961 ' cards' 6\n37962 ' cared' 6\n37963 ' careg' 6\n37964 ' cares' 6\n37965 ' caret' 6\n37966 ' cargo' 6\n37967 ' caric' 6\n37968 ' carry' 6\n37969 ' carte' 6\n37970 ' cases' 6\n37971 ' casos' 6\n37972 ' caste' 6\n37973 ' casts' 6\n37974 ' catal' 6\n37975 ' catch' 6\n37976 ' categ' 6\n37977 ' cater' 6\n37978 ' causa' 6\n37979 ' cause' 6\n37980 ' caval' 6\n37981 ' caves' 6\n37982 ' cease' 6\n37983 ' celle' 6\n37984 ' cells' 6\n37985 ' celui' 6\n37986 ' centr' 6\n37987 ' cents' 6\n37988 ' cerca' 6\n37989 ' cerem' 6\n37990 ' certs' 6\n37991 ' cette' 6\n37992 ' chain' 6\n37993 ' chair' 6\n37994 ' chalk' 6\n37995 ' chall' 6\n37996 ' champ' 6\n37997 ' chang' 6\n37998 ' chant' 6\n37999 ' chaos' 6\n38000 ' charg' 6\n38001 ' charm' 6\n38002 ' chars' 6\n38003 ' chart' 6\n38004 ' chase' 6\n38005 ' chats' 6\n38006 ' cheap' 6\n38007 ' cheat' 6\n38008 ' check' 6\n38009 ' cheek' 6\n38010 ' cheer' 6\n38011 ' chees' 6\n38012 ' chefs' 6\n38013 ' chess' 6\n38014 ' chest' 6\n38015 ' chick' 6\n38016 ' chief' 6\n38017 ' child' 6\n38018 ' chili' 6\n38019 ' chill' 6\n38020 ' chips' 6\n38021 ' chlor' 6\n38022 ' choir' 6\n38023 ' choke' 6\n38024 ' chord' 6\n38025 ' chore' 6\n38026 ' chose' 6\n38027 ' chrom' 6\n38028 ' chron' 6\n38029 ' chuck' 6\n38030 ' chunk' 6\n38031 ' churn' 6\n38032 ' chỉ' 6\n38033 ' cient' 6\n38034 ' cigar' 6\n38035 ' cinco' 6\n38036 ' circa' 6\n38037 ' cited' 6\n38038 ' cites' 6\n38039 ' citiz' 6\n38040 ' civic' 6\n38041 ' civil' 6\n38042 ' claim' 6\n38043 ' clamp' 6\n38044 ' claro' 6\n38045 ' clash' 6\n38046 ' class' 6\n38047 ' claws' 6\n38048 ' clean' 6\n38049 ' clear' 6\n38050 ' clerk' 6\n38051 ' click' 6\n38052 ' cliff' 6\n38053 ' climb' 6\n38054 ' cling' 6\n38055 ' clips' 6\n38056 ' cloak' 6\n38057 ' clock' 6\n38058 ' clone' 6\n38059 ' close' 6\n38060 ' cloth' 6\n38061 ' cloud' 6\n38062 ' clown' 6\n38063 ' clubs' 6\n38064 ' clues' 6\n38065 ' clust' 6\n38066 ' clés' 6\n38067 ' coach' 6\n38068 ' coast' 6\n38069 ' coats' 6\n38070 ' cocoa' 6\n38071 ' codec' 6\n38072 ' coded' 6\n38073 ' codes' 6\n38074 ' coeff' 6\n38075 ' coerc' 6\n38076 ' coils' 6\n38077 ' coinc' 6\n38078 ' coins' 6\n38079 ' coisa' 6\n38080 ' colle' 6\n38081 ' coloc' 6\n38082 ' colon' 6\n38083 ' color' 6\n38084 ' combo' 6\n38085 ' comed' 6\n38086 ' comer' 6\n38087 ' comes' 6\n38088 ' comet' 6\n38089 ' comic' 6\n38090 ' comma' 6\n38091 ' comme' 6\n38092 ' compl' 6\n38093 ' compr' 6\n38094 ' compt' 6\n38095 ' comun' 6\n38096 ' conce' 6\n38097 ' concl' 6\n38098 ' condu' 6\n38099 ' cones' 6\n38100 ' confl' 6\n38101 ' congr' 6\n38102 ' conna' 6\n38103 ' conoc' 6\n38104 ' conqu' 6\n38105 ' consc' 6\n38106 ' conse' 6\n38107 ' const' 6\n38108 ' conta' 6\n38109 ' conte' 6\n38110 ' contr' 6\n38111 ' conve' 6\n38112 ' cooks' 6\n38113 ' coord' 6\n38114 ' coral' 6\n38115 ' cords' 6\n38116 ' cores' 6\n38117 ' coron' 6\n38118 ' corpo' 6\n38119 ' corps' 6\n38120 ' corre' 6\n38121 ' corro' 6\n38122 ' cosas' 6\n38123 ' costa' 6\n38124 ' costs' 6\n38125 ' così' 6\n38126 ' couch' 6\n38127 ' cough' 6\n38128 ' could' 6\n38129 ' count' 6\n38130 ' cours' 6\n38131 ' court' 6\n38132 ' cover' 6\n38133 ' covid' 6\n38134 ' crack' 6\n38135 ' craft' 6\n38136 ' crane' 6\n38137 ' crank' 6\n38138 ' crash' 6\n38139 ' crawl' 6\n38140 ' crazy' 6\n38141 ' cream' 6\n38142 ' creat' 6\n38143 ' creek' 6\n38144 ' creep' 6\n38145 ' crest' 6\n38146 ' crews' 6\n38147 ' cried' 6\n38148 ' cries' 6\n38149 ' crime' 6\n38150 ' crisp' 6\n38151 ' crist' 6\n38152 ' crops' 6\n38153 ' crore' 6\n38154 ' cross' 6\n38155 ' crowd' 6\n38156 ' crown' 6\n38157 ' crude' 6\n38158 ' cruel' 6\n38159 ' crush' 6\n38160 ' crust' 6\n38161 ' crypt' 6\n38162 ' cryst' 6\n38163 ' créd' 6\n38164 ' crít' 6\n38165 ' cubes' 6\n38166 ' cubic' 6\n38167 ' cured' 6\n38168 ' curry' 6\n38169 ' curse' 6\n38170 ' curve' 6\n38171 ' cyber' 6\n38172 ' cycle' 6\n38173 ' cyclo' 6\n38174 ' cytok' 6\n38175 ' cytos' 6\n38176 ' cómo' 6\n38177 ' công' 6\n38178 ' cœur' 6\n38179 ' cũng' 6\n38180 ' của' 6\n38181 ' dabei' 6\n38182 ' daddy' 6\n38183 ' dados' 6\n38184 ' daher' 6\n38185 ' daily' 6\n38186 ' dairy' 6\n38187 ' dalla' 6\n38188 ' damit' 6\n38189 ' dance' 6\n38190 ' dared' 6\n38191 ' datas' 6\n38192 ' dated' 6\n38193 ' dates' 6\n38194 ' datos' 6\n38195 ' datum' 6\n38196 ' david' 6\n38197 ' deals' 6\n38198 ' dealt' 6\n38199 ' death' 6\n38200 ' debit' 6\n38201 ' debts' 6\n38202 ' debug' 6\n38203 ' debut' 6\n38204 ' decay' 6\n38205 ' decid' 6\n38206 ' decir' 6\n38207 ' decis' 6\n38208 ' decks' 6\n38209 ' decom' 6\n38210 ' decor' 6\n38211 ' decre' 6\n38212 ' dedic' 6\n38213 ' deeds' 6\n38214 ' defer' 6\n38215 ' defic' 6\n38216 ' defin' 6\n38217 ' degli' 6\n38218 ' deity' 6\n38219 ' delay' 6\n38220 ' deleg' 6\n38221 ' delet' 6\n38222 ' delic' 6\n38223 ' delim' 6\n38224 ' della' 6\n38225 ' delle' 6\n38226 ' delta' 6\n38227 ' demol' 6\n38228 ' demon' 6\n38229 ' demos' 6\n38230 ' denen' 6\n38231 ' denom' 6\n38232 ' dense' 6\n38233 ' depos' 6\n38234 ' depth' 6\n38235 ' deput' 6\n38236 ' deriv' 6\n38237 ' desar' 6\n38238 ' descr' 6\n38239 ' desde' 6\n38240 ' desta' 6\n38241 ' deste' 6\n38242 ' deter' 6\n38243 ' deton' 6\n38244 ' detox' 6\n38245 ' dette' 6\n38246 ' dever' 6\n38247 ' devil' 6\n38248 ' diagn' 6\n38249 ' diarr' 6\n38250 ' diary' 6\n38251 ' diced' 6\n38252 ' didnt' 6\n38253 ' diese' 6\n38254 ' diets' 6\n38255 ' difer' 6\n38256 ' difí' 6\n38257 ' digit' 6\n38258 ' dilig' 6\n38259 ' dimin' 6\n38260 ' diode' 6\n38261 ' dirig' 6\n38262 ' dirty' 6\n38263 ' disag' 6\n38264 ' disco' 6\n38265 ' discs' 6\n38266 ' disgr' 6\n38267 ' disgu' 6\n38268 ' disks' 6\n38269 ' displ' 6\n38270 ' disse' 6\n38271 ' ditch' 6\n38272 ' diver' 6\n38273 ' divid' 6\n38274 ' divis' 6\n38275 ' divor' 6\n38276 ' divul' 6\n38277 ' doctr' 6\n38278 ' doesn' 6\n38279 ' doing' 6\n38280 ' dolor' 6\n38281 ' domin' 6\n38282 ' donde' 6\n38283 ' donna' 6\n38284 ' donne' 6\n38285 ' donor' 6\n38286 ' doors' 6\n38287 ' doses' 6\n38288 ' doubt' 6\n38289 ' dough' 6\n38290 ' downs' 6\n38291 ' downt' 6\n38292 ' dozen' 6\n38293 ' draft' 6\n38294 ' drain' 6\n38295 ' drama' 6\n38296 ' drank' 6\n38297 ' drawn' 6\n38298 ' draws' 6\n38299 ' dread' 6\n38300 ' dream' 6\n38301 ' dress' 6\n38302 ' dried' 6\n38303 ' drift' 6\n38304 ' drill' 6\n38305 ' drink' 6\n38306 ' drive' 6\n38307 ' droit' 6\n38308 ' drone' 6\n38309 ' drops' 6\n38310 ' drove' 6\n38311 ' drown' 6\n38312 ' drugs' 6\n38313 ' drums' 6\n38314 ' drunk' 6\n38315 ' dtype' 6\n38316 ' dummy' 6\n38317 ' durch' 6\n38318 ' dusty' 6\n38319 ' dwarf' 6\n38320 ' dwell' 6\n38321 ' dying' 6\n38322 ' dynam' 6\n38323 ' décl' 6\n38324 ' dépl' 6\n38325 ' días' 6\n38326 ' eager' 6\n38327 ' eagle' 6\n38328 ' early' 6\n38329 ' earth' 6\n38330 ' eased' 6\n38331 ' eaten' 6\n38332 ' edges' 6\n38333 ' edits' 6\n38334 ' efect' 6\n38335 ' effet' 6\n38336 ' effic' 6\n38337 ' efter' 6\n38338 ' eigen' 6\n38339 ' eight' 6\n38340 ' einem' 6\n38341 ' einen' 6\n38342 ' einer' 6\n38343 ' eines' 6\n38344 ' eject' 6\n38345 ' elast' 6\n38346 ' elbow' 6\n38347 ' elder' 6\n38348 ' elect' 6\n38349 ' elite' 6\n38350 ' eller' 6\n38351 ' elles' 6\n38352 ' ellip' 6\n38353 ' ellos' 6\n38354 ' elong' 6\n38355 ' első' 6\n38356 ' email' 6\n38357 ' embar' 6\n38358 ' embed' 6\n38359 ' embod' 6\n38360 ' embry' 6\n38361 ' emerg' 6\n38362 ' emoji' 6\n38363 ' empir' 6\n38364 ' emple' 6\n38365 ' empty' 6\n38366 ' enact' 6\n38367 ' ended' 6\n38368 ' endif' 6\n38369 ' enemy' 6\n38370 ' energ' 6\n38371 ' enfer' 6\n38372 ' enfor' 6\n38373 ' engra' 6\n38374 ' enjoy' 6\n38375 ' enorm' 6\n38376 ' enrol' 6\n38377 ' enter' 6\n38378 ' entra' 6\n38379 ' entre' 6\n38380 ' entry' 6\n38381 ' envis' 6\n38382 ' envoy' 6\n38383 ' enzym' 6\n38384 ' epile' 6\n38385 ' epoch' 6\n38386 ' equal' 6\n38387 ' equip' 6\n38388 ' equiv' 6\n38389 ' erase' 6\n38390 ' erect' 6\n38391 ' errno' 6\n38392 ' error' 6\n38393 ' erupt' 6\n38394 ' escal' 6\n38395 ' escap' 6\n38396 ' escol' 6\n38397 ' espec' 6\n38398 ' esper' 6\n38399 ' essay' 6\n38400 ' estab' 6\n38401 ' estad' 6\n38402 ' estar' 6\n38403 ' estas' 6\n38404 ' estim' 6\n38405 ' estos' 6\n38406 ' estud' 6\n38407 ' está' 6\n38408 ' etern' 6\n38409 ' ether' 6\n38410 ' ethic' 6\n38411 ' että' 6\n38412 ' etwas' 6\n38413 ' europ' 6\n38414 ' euros' 6\n38415 ' evade' 6\n38416 ' evalu' 6\n38417 ' event' 6\n38418 ' every' 6\n38419 ' exact' 6\n38420 ' exams' 6\n38421 ' excav' 6\n38422 ' excel' 6\n38423 ' exerc' 6\n38424 ' exert' 6\n38425 ' exhib' 6\n38426 ' exile' 6\n38427 ' exist' 6\n38428 ' exits' 6\n38429 ' exped' 6\n38430 ' exper' 6\n38431 ' explo' 6\n38432 ' expon' 6\n38433 ' expos' 6\n38434 ' extra' 6\n38435 ' faced' 6\n38436 ' faces' 6\n38437 ' facet' 6\n38438 ' facil' 6\n38439 ' facto' 6\n38440 ' facts' 6\n38441 ' faded' 6\n38442 ' fails' 6\n38443 ' faint' 6\n38444 ' faire' 6\n38445 ' fairy' 6\n38446 ' faith' 6\n38447 ' falls' 6\n38448 ' false' 6\n38449 ' falta' 6\n38450 ' famed' 6\n38451 ' famil' 6\n38452 ' fancy' 6\n38453 ' fares' 6\n38454 ' farms' 6\n38455 ' fatal' 6\n38456 ' fatty' 6\n38457 ' fault' 6\n38458 ' favor' 6\n38459 ' fazer' 6\n38460 ' fears' 6\n38461 ' feast' 6\n38462 ' fecha' 6\n38463 ' feder' 6\n38464 ' feeds' 6\n38465 ' feels' 6\n38466 ' femin' 6\n38467 ' femme' 6\n38468 ' fence' 6\n38469 ' ferro' 6\n38470 ' ferry' 6\n38471 ' fetal' 6\n38472 ' fetch' 6\n38473 ' fetus' 6\n38474 ' fever' 6\n38475 ' fewer' 6\n38476 ' fiber' 6\n38477 ' fibre' 6\n38478 ' field' 6\n38479 ' fiery' 6\n38480 ' fifth' 6\n38481 ' fifty' 6\n38482 ' fight' 6\n38483 ' figur' 6\n38484 ' filed' 6\n38485 ' files' 6\n38486 ' fille' 6\n38487 ' fills' 6\n38488 ' filme' 6\n38489 ' films' 6\n38490 ' filtr' 6\n38491 ' final' 6\n38492 ' finds' 6\n38493 ' fined' 6\n38494 ' finer' 6\n38495 ' fines' 6\n38496 ' fired' 6\n38497 ' fires' 6\n38498 ' firms' 6\n38499 ' first' 6\n38500 ' fists' 6\n38501 ' fixed' 6\n38502 ' fixes' 6\n38503 ' fjär' 6\n38504 ' flags' 6\n38505 ' flame' 6\n38506 ' flank' 6\n38507 ' flare' 6\n38508 ' flash' 6\n38509 ' flask' 6\n38510 ' flats' 6\n38511 ' flaws' 6\n38512 ' fleet' 6\n38513 ' flesh' 6\n38514 ' flick' 6\n38515 ' flies' 6\n38516 ' float' 6\n38517 ' flock' 6\n38518 ' flood' 6\n38519 ' floor' 6\n38520 ' flora' 6\n38521 ' flour' 6\n38522 ' flown' 6\n38523 ' flows' 6\n38524 ' fluct' 6\n38525 ' fluid' 6\n38526 ' fluor' 6\n38527 ' flush' 6\n38528 ' fname' 6\n38529 ' focal' 6\n38530 ' focus' 6\n38531 ' folds' 6\n38532 ' folks' 6\n38533 ' fonts' 6\n38534 ' foods' 6\n38535 ' foram' 6\n38536 ' force' 6\n38537 ' fores' 6\n38538 ' forfe' 6\n38539 ' forma' 6\n38540 ' forme' 6\n38541 ' forms' 6\n38542 ' forte' 6\n38543 ' forth' 6\n38544 ' forts' 6\n38545 ' forty' 6\n38546 ' forum' 6\n38547 ' found' 6\n38548 ' fract' 6\n38549 ' frame' 6\n38550 ' franc' 6\n38551 ' frank' 6\n38552 ' fraud' 6\n38553 ' freak' 6\n38554 ' freed' 6\n38555 ' freel' 6\n38556 ' frequ' 6\n38557 ' fresh' 6\n38558 ' fried' 6\n38559 ' front' 6\n38560 ' frost' 6\n38561 ' froze' 6\n38562 ' fruit' 6\n38563 ' från' 6\n38564 ' fuels' 6\n38565 ' fuera' 6\n38566 ' fully' 6\n38567 ' funds' 6\n38568 ' fungi' 6\n38569 ' funny' 6\n38570 ' fused' 6\n38571 ' fuzzy' 6\n38572 ' född' 6\n38573 ' führ' 6\n38574 ' fünf' 6\n38575 ' gains' 6\n38576 ' games' 6\n38577 ' gamma' 6\n38578 ' gases' 6\n38579 ' gates' 6\n38580 ' gauge' 6\n38581 ' gears' 6\n38582 ' gegen' 6\n38583 ' gener' 6\n38584 ' genes' 6\n38585 ' genom' 6\n38586 ' genre' 6\n38587 ' gente' 6\n38588 ' genus' 6\n38589 ' gesch' 6\n38590 ' ghost' 6\n38591 ' giant' 6\n38592 ' gifts' 6\n38593 ' girls' 6\n38594 ' given' 6\n38595 ' gives' 6\n38596 ' gland' 6\n38597 ' glare' 6\n38598 ' glass' 6\n38599 ' globe' 6\n38600 ' glory' 6\n38601 ' gloss' 6\n38602 ' glove' 6\n38603 ' glyph' 6\n38604 ' goals' 6\n38605 ' goats' 6\n38606 ' going' 6\n38607 ' gonna' 6\n38608 ' goods' 6\n38609 ' goose' 6\n38610 ' gorge' 6\n38611 ' gotta' 6\n38612 ' gover' 6\n38613 ' grabs' 6\n38614 ' grace' 6\n38615 ' grade' 6\n38616 ' grado' 6\n38617 ' gradu' 6\n38618 ' graft' 6\n38619 ' grain' 6\n38620 ' grams' 6\n38621 ' grand' 6\n38622 ' grant' 6\n38623 ' grape' 6\n38624 ' graph' 6\n38625 ' grasp' 6\n38626 ' grass' 6\n38627 ' grate' 6\n38628 ' grave' 6\n38629 ' great' 6\n38630 ' greed' 6\n38631 ' green' 6\n38632 ' greet' 6\n38633 ' grids' 6\n38634 ' grief' 6\n38635 ' griev' 6\n38636 ' grill' 6\n38637 ' grind' 6\n38638 ' groom' 6\n38639 ' gross' 6\n38640 ' group' 6\n38641 ' grown' 6\n38642 ' grows' 6\n38643 ' groß' 6\n38644 ' grupo' 6\n38645 ' guard' 6\n38646 ' guerr' 6\n38647 ' guess' 6\n38648 ' guest' 6\n38649 ' guide' 6\n38650 ' guild' 6\n38651 ' guilt' 6\n38652 ' gusta' 6\n38653 ' haben' 6\n38654 ' haber' 6\n38655 ' habit' 6\n38656 ' hacer' 6\n38657 ' hacia' 6\n38658 ' hairs' 6\n38659 ' halls' 6\n38660 ' hands' 6\n38661 ' handy' 6\n38662 ' hangs' 6\n38663 ' hanno' 6\n38664 ' happy' 6\n38665 ' harsh' 6\n38666 ' hasta' 6\n38667 ' haste' 6\n38668 ' hatch' 6\n38669 ' hated' 6\n38670 ' hates' 6\n38671 ' hatte' 6\n38672 ' haven' 6\n38673 ' heads' 6\n38674 ' heard' 6\n38675 ' hears' 6\n38676 ' heart' 6\n38677 ' heavy' 6\n38678 ' hecho' 6\n38679 ' hedge' 6\n38680 ' heeft' 6\n38681 ' heels' 6\n38682 ' heirs' 6\n38683 ' heiß' 6\n38684 ' helic' 6\n38685 ' hello' 6\n38686 ' helps' 6\n38687 ' hemat' 6\n38688 ' hence' 6\n38689 ' hepat' 6\n38690 ' herbs' 6\n38691 ' heter' 6\n38692 ' heure' 6\n38693 ' hides' 6\n38694 ' hilar' 6\n38695 ' hills' 6\n38696 ' hinge' 6\n38697 ' hints' 6\n38698 ' hired' 6\n38699 ' hobby' 6\n38700 ' holds' 6\n38701 ' holes' 6\n38702 ' holog' 6\n38703 ' homem' 6\n38704 ' homes' 6\n38705 ' homme' 6\n38706 ' honey' 6\n38707 ' honor' 6\n38708 ' hooks' 6\n38709 ' hoped' 6\n38710 ' hopes' 6\n38711 ' horas' 6\n38712 ' horns' 6\n38713 ' horse' 6\n38714 ' hosts' 6\n38715 ' hotel' 6\n38716 ' hours' 6\n38717 ' house' 6\n38718 ' hover' 6\n38719 ' https' 6\n38720 ' human' 6\n38721 ' humid' 6\n38722 ' humor' 6\n38723 ' hurry' 6\n38724 ' hurts' 6\n38725 ' hydro' 6\n38726 ' hyper' 6\n38727 ' hypoc' 6\n38728 ' hypot' 6\n38729 ' hàng' 6\n38730 ' höch' 6\n38731 ' học' 6\n38732 ' hợp' 6\n38733 ' icons' 6\n38734 ' ideal' 6\n38735 ' ideas' 6\n38736 ' ident' 6\n38737 ' idiot' 6\n38738 ' ignor' 6\n38739 ' igual' 6\n38740 ' ihren' 6\n38741 ' ihrer' 6\n38742 ' illeg' 6\n38743 ' illum' 6\n38744 ' image' 6\n38745 ' immer' 6\n38746 ' immun' 6\n38747 ' impat' 6\n38748 ' imped' 6\n38749 ' imper' 6\n38750 ' imply' 6\n38751 ' impos' 6\n38752 ' impro' 6\n38753 ' inaug' 6\n38754 ' inbox' 6\n38755 ' incap' 6\n38756 ' incom' 6\n38757 ' incon' 6\n38758 ' incor' 6\n38759 ' incre' 6\n38760 ' incub' 6\n38761 ' incur' 6\n38762 ' indef' 6\n38763 ' index' 6\n38764 ' indic' 6\n38765 ' indie' 6\n38766 ' indis' 6\n38767 ' indul' 6\n38768 ' inequ' 6\n38769 ' inert' 6\n38770 ' infer' 6\n38771 ' infin' 6\n38772 ' influ' 6\n38773 ' infos' 6\n38774 ' infra' 6\n38775 ' ingen' 6\n38776 ' inhab' 6\n38777 ' inhal' 6\n38778 ' inher' 6\n38779 ' inhib' 6\n38780 ' inici' 6\n38781 ' initi' 6\n38782 ' inlet' 6\n38783 ' inner' 6\n38784 ' innoc' 6\n38785 ' innov' 6\n38786 ' input' 6\n38787 ' inser' 6\n38788 ' inset' 6\n38789 ' insol' 6\n38790 ' instr' 6\n38791 ' integ' 6\n38792 ' intel' 6\n38793 ' inten' 6\n38794 ' inter' 6\n38795 ' intim' 6\n38796 ' intox' 6\n38797 ' intra' 6\n38798 ' intro' 6\n38799 ' inté' 6\n38800 ' inval' 6\n38801 ' invas' 6\n38802 ' invis' 6\n38803 ' invol' 6\n38804 ' ipsum' 6\n38805 ' irony' 6\n38806 ' irres' 6\n38807 ' irrig' 6\n38808 ' irrit' 6\n38809 ' issue' 6\n38810 ' items' 6\n38811 ' için' 6\n38812 ' japon' 6\n38813 ' javax' 6\n38814 ' jeans' 6\n38815 ' jeden' 6\n38816 ' jelly' 6\n38817 ' jetzt' 6\n38818 ' jeune' 6\n38819 ' jewel' 6\n38820 ' jihad' 6\n38821 ' joins' 6\n38822 ' joint' 6\n38823 ' jokes' 6\n38824 ' jours' 6\n38825 ' judge' 6\n38826 ' juego' 6\n38827 ' juice' 6\n38828 ' jumps' 6\n38829 ' junto' 6\n38830 ' juris' 6\n38831 ' jusqu' 6\n38832 ' juven' 6\n38833 ' kappa' 6\n38834 ' karma' 6\n38835 ' keeps' 6\n38836 ' keine' 6\n38837 ' keras' 6\n38838 ' kicks' 6\n38839 ' kills' 6\n38840 ' kinda' 6\n38841 ' kinds' 6\n38842 ' kings' 6\n38843 ' klass' 6\n38844 ' knees' 6\n38845 ' knife' 6\n38846 ' knock' 6\n38847 ' knots' 6\n38848 ' known' 6\n38849 ' knows' 6\n38850 ' kommt' 6\n38851 ' könn' 6\n38852 ' label' 6\n38853 ' labor' 6\n38854 ' lacks' 6\n38855 ' lakes' 6\n38856 ' lamin' 6\n38857 ' lamps' 6\n38858 ' lance' 6\n38859 ' lands' 6\n38860 ' lanes' 6\n38861 ' langu' 6\n38862 ' lanç' 6\n38863 ' lapse' 6\n38864 ' large' 6\n38865 ' largo' 6\n38866 ' laser' 6\n38867 ' lasts' 6\n38868 ' latch' 6\n38869 ' later' 6\n38870 ' latex' 6\n38871 ' latin' 6\n38872 ' laugh' 6\n38873 ' laure' 6\n38874 ' layer' 6\n38875 ' leads' 6\n38876 ' leaks' 6\n38877 ' learn' 6\n38878 ' lease' 6\n38879 ' least' 6\n38880 ' leave' 6\n38881 ' legal' 6\n38882 ' legis' 6\n38883 ' legit' 6\n38884 ' lemma' 6\n38885 ' lemon' 6\n38886 ' leurs' 6\n38887 ' level' 6\n38888 ' lever' 6\n38889 ' liber' 6\n38890 ' libre' 6\n38891 ' libro' 6\n38892 ' lider' 6\n38893 ' ließ' 6\n38894 ' lifts' 6\n38895 ' light' 6\n38896 ' ligne' 6\n38897 ' 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sniff' 6\n39732 ' sober' 6\n39733 ' sobre' 6\n39734 ' socio' 6\n39735 ' socks' 6\n39736 ' soils' 6\n39737 ' solar' 6\n39738 ' solic' 6\n39739 ' solid' 6\n39740 ' solve' 6\n39741 ' somet' 6\n39742 ' songs' 6\n39743 ' sorry' 6\n39744 ' sorte' 6\n39745 ' sorts' 6\n39746 ' souls' 6\n39747 ' sound' 6\n39748 ' south' 6\n39749 ' sowie' 6\n39750 ' space' 6\n39751 ' spans' 6\n39752 ' spare' 6\n39753 ' spark' 6\n39754 ' spawn' 6\n39755 ' speak' 6\n39756 ' spear' 6\n39757 ' specs' 6\n39758 ' spect' 6\n39759 ' speed' 6\n39760 ' spell' 6\n39761 ' spend' 6\n39762 ' spent' 6\n39763 ' sperm' 6\n39764 ' spice' 6\n39765 ' spicy' 6\n39766 ' spies' 6\n39767 ' spike' 6\n39768 ' spill' 6\n39769 ' spine' 6\n39770 ' spins' 6\n39771 ' spite' 6\n39772 ' split' 6\n39773 ' spoil' 6\n39774 ' spoke' 6\n39775 ' spons' 6\n39776 ' spont' 6\n39777 ' spoon' 6\n39778 ' sport' 6\n39779 ' spots' 6\n39780 ' spraw' 6\n39781 ' spray' 6\n39782 ' spéc' 6\n39783 ' squad' 6\n39784 ' squat' 6\n39785 ' squir' 6\n39786 ' stack' 6\n39787 ' staff' 6\n39788 ' stage' 6\n39789 ' stagn' 6\n39790 ' stain' 6\n39791 ' stair' 6\n39792 ' stake' 6\n39793 ' stale' 6\n39794 ' stalk' 6\n39795 ' stall' 6\n39796 ' stamp' 6\n39797 ' stand' 6\n39798 ' stare' 6\n39799 ' stark' 6\n39800 ' stars' 6\n39801 ' start' 6\n39802 ' state' 6\n39803 ' stato' 6\n39804 ' stats' 6\n39805 ' stays' 6\n39806 ' stdin' 6\n39807 ' stead' 6\n39808 ' steak' 6\n39809 ' steal' 6\n39810 ' steam' 6\n39811 ' steel' 6\n39812 ' steep' 6\n39813 ' steer' 6\n39814 ' stems' 6\n39815 ' steps' 6\n39816 ' stere' 6\n39817 ' stern' 6\n39818 ' stick' 6\n39819 ' stiff' 6\n39820 ' still' 6\n39821 ' sting' 6\n39822 ' stint' 6\n39823 ' stock' 6\n39824 ' stole' 6\n39825 ' stone' 6\n39826 ' stood' 6\n39827 ' stool' 6\n39828 ' stops' 6\n39829 ' store' 6\n39830 ' storm' 6\n39831 ' story' 6\n39832 ' stove' 6\n39833 ' strap' 6\n39834 ' strat' 6\n39835 ' straw' 6\n39836 ' stray' 6\n39837 ' stret' 6\n39838 ' strip' 6\n39839 ' stuck' 6\n39840 ' study' 6\n39841 ' stuff' 6\n39842 ' 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tasks' 6\n39899 ' taste' 6\n39900 ' tasty' 6\n39901 ' taxed' 6\n39902 ' taxes' 6\n39903 ' teach' 6\n39904 ' teams' 6\n39905 ' tears' 6\n39906 ' techn' 6\n39907 ' teens' 6\n39908 ' teeth' 6\n39909 ' tells' 6\n39910 ' templ' 6\n39911 ' tempo' 6\n39912 ' temps' 6\n39913 ' tempt' 6\n39914 ' tends' 6\n39915 ' tener' 6\n39916 ' tense' 6\n39917 ' tenth' 6\n39918 ' tents' 6\n39919 ' terme' 6\n39920 ' terms' 6\n39921 ' terra' 6\n39922 ' terre' 6\n39923 ' tests' 6\n39924 ' texte' 6\n39925 ' texto' 6\n39926 ' texts' 6\n39927 ' thank' 6\n39928 ' thats' 6\n39929 ' theat' 6\n39930 ' theft' 6\n39931 ' their' 6\n39932 ' theme' 6\n39933 ' theor' 6\n39934 ' there' 6\n39935 ' therm' 6\n39936 ' these' 6\n39937 ' theta' 6\n39938 ' thick' 6\n39939 ' thief' 6\n39940 ' thigh' 6\n39941 ' thing' 6\n39942 ' think' 6\n39943 ' third' 6\n39944 ' those' 6\n39945 ' thous' 6\n39946 ' three' 6\n39947 ' threw' 6\n39948 ' throm' 6\n39949 ' throw' 6\n39950 ' thumb' 6\n39951 ' thế' 6\n39952 ' thể' 6\n39953 ' ticks' 6\n39954 ' tidal' 6\n39955 ' tiene' 6\n39956 ' tiers' 6\n39957 ' tiger' 6\n39958 ' tight' 6\n39959 ' tiles' 6\n39960 ' timed' 6\n39961 ' timer' 6\n39962 ' times' 6\n39963 ' tinha' 6\n39964 ' tired' 6\n39965 ' tires' 6\n39966 ' title' 6\n39967 ' titre' 6\n39968 ' tiế' 6\n39969 ' toast' 6\n39970 ' todas' 6\n39971 ' today' 6\n39972 ' todos' 6\n39973 ' toile' 6\n39974 ' token' 6\n39975 ' toler' 6\n39976 ' tomar' 6\n39977 ' tomat' 6\n39978 ' tones' 6\n39979 ' tools' 6\n39980 ' tooth' 6\n39981 ' topic' 6\n39982 ' torch' 6\n39983 ' torso' 6\n39984 ' total' 6\n39985 ' touch' 6\n39986 ' tough' 6\n39987 ' tours' 6\n39988 ' toute' 6\n39989 ' towel' 6\n39990 ' tower' 6\n39991 ' towns' 6\n39992 ' toxic' 6\n39993 ' toxin' 6\n39994 ' trace' 6\n39995 ' track' 6\n39996 ' tract' 6\n39997 ' trade' 6\n39998 ' traff' 6\n39999 ' trail' 6\n40000 ' train' 6\n40001 ' trait' 6\n40002 ' trans' 6\n40003 ' traps' 6\n40004 ' trash' 6\n40005 ' trava' 6\n40006 ' tread' 6\n40007 ' treat' 6\n40008 ' trees' 6\n40009 ' trend' 6\n40010 ' trial' 6\n40011 ' tribe' 6\n40012 ' trick' 6\n40013 ' tried' 6\n40014 ' tries' 6\n40015 ' trips' 6\n40016 ' trium' 6\n40017 ' trois' 6\n40018 ' troll' 6\n40019 ' troop' 6\n40020 ' troph' 6\n40021 ' trous' 6\n40022 ' trout' 6\n40023 ' truck' 6\n40024 ' truly' 6\n40025 ' trump' 6\n40026 ' trunc' 6\n40027 ' trunk' 6\n40028 ' trust' 6\n40029 ' truth' 6\n40030 ' très' 6\n40031 ' trên' 6\n40032 ' três' 6\n40033 ' tubes' 6\n40034 ' tumor' 6\n40035 ' tuned' 6\n40036 ' tunes' 6\n40037 ' tuple' 6\n40038 ' turbo' 6\n40039 ' turno' 6\n40040 ' turns' 6\n40041 ' tutor' 6\n40042 ' tutti' 6\n40043 ' tweak' 6\n40044 ' tweet' 6\n40045 ' twice' 6\n40046 ' twins' 6\n40047 ' twist' 6\n40048 ' tying' 6\n40049 ' typed' 6\n40050 ' types' 6\n40051 ' técn' 6\n40052 ' témo' 6\n40053 ' tête' 6\n40054 ' több' 6\n40055 ' tại' 6\n40056 ' ubiqu' 6\n40057 ' ulcer' 6\n40058 ' ultra' 6\n40059 ' unary' 6\n40060 ' uncle' 6\n40061 ' uncon' 6\n40062 ' under' 6\n40063 ' undes' 6\n40064 ' undis' 6\n40065 ' unint' 6\n40066 ' union' 6\n40067 ' uniqu' 6\n40068 ' unite' 6\n40069 ' units' 6\n40070 ' unity' 6\n40071 ' unlaw' 6\n40072 ' unser' 6\n40073 ' unset' 6\n40074 ' unsur' 6\n40075 ' unter' 6\n40076 ' until' 6\n40077 ' upper' 6\n40078 ' upset' 6\n40079 ' urban' 6\n40080 ' urged' 6\n40081 ' urges' 6\n40082 ' urine' 6\n40083 ' usage' 6\n40084 ' users' 6\n40085 ' using' 6\n40086 ' usual' 6\n40087 ' utils' 6\n40088 ' utter' 6\n40089 ' után' 6\n40090 ' vague' 6\n40091 ' valid' 6\n40092 ' valor' 6\n40093 ' value' 6\n40094 ' valve' 6\n40095 ' vamos' 6\n40096 ' vapor' 6\n40097 ' vault' 6\n40098 ' veces' 6\n40099 ' vegan' 6\n40100 ' veget' 6\n40101 ' veins' 6\n40102 ' veloc' 6\n40103 ' vener' 6\n40104 ' venom' 6\n40105 ' venue' 6\n40106 ' verbs' 6\n40107 ' verge' 6\n40108 ' versa' 6\n40109 ' verse' 6\n40110 ' verso' 6\n40111 ' verte' 6\n40112 ' verts' 6\n40113 ' veter' 6\n40114 ' vezes' 6\n40115 ' video' 6\n40116 ' vidé' 6\n40117 ' viele' 6\n40118 ' viene' 6\n40119 ' views' 6\n40120 ' vigil' 6\n40121 ' vigor' 6\n40122 ' villa' 6\n40123 ' ville' 6\n40124 ' vinyl' 6\n40125 ' viral' 6\n40126 ' virus' 6\n40127 ' visas' 6\n40128 ' visit' 6\n40129 ' vista' 6\n40130 ' visto' 6\n40131 ' vital' 6\n40132 ' vitro' 6\n40133 ' vivid' 6\n40134 ' viên' 6\n40135 ' vocab' 6\n40136 ' vocal' 6\n40137 ' você' 6\n40138 ' vodka' 6\n40139 ' voice' 6\n40140 ' volta' 6\n40141 ' volte' 6\n40142 ' voted' 6\n40143 ' voter' 6\n40144 ' votes' 6\n40145 ' votre' 6\n40146 ' vowed' 6\n40147 ' vowel' 6\n40148 ' voxel' 6\n40149 ' være' 6\n40150 ' víde' 6\n40151 ' však' 6\n40152 ' với' 6\n40153 ' wafer' 6\n40154 ' wages' 6\n40155 ' wagon' 6\n40156 ' waist' 6\n40157 ' waits' 6\n40158 ' waive' 6\n40159 ' walks' 6\n40160 ' walls' 6\n40161 ' wanna' 6\n40162 ' wants' 6\n40163 ' wards' 6\n40164 ' waren' 6\n40165 ' warns' 6\n40166 ' waste' 6\n40167 ' watch' 6\n40168 ' water' 6\n40169 ' waved' 6\n40170 ' waves' 6\n40171 ' wears' 6\n40172 ' weary' 6\n40173 ' wedge' 6\n40174 ' weeds' 6\n40175 ' weeks' 6\n40176 ' weigh' 6\n40177 ' weird' 6\n40178 ' weiß' 6\n40179 ' wells' 6\n40180 ' weren' 6\n40181 ' whale' 6\n40182 ' whats' 6\n40183 ' wheat' 6\n40184 ' wheel' 6\n40185 ' where' 6\n40186 ' which' 6\n40187 ' while' 6\n40188 ' whisk' 6\n40189 ' white' 6\n40190 ' whole' 6\n40191 ' whose' 6\n40192 ' wider' 6\n40193 ' widow' 6\n40194 ' width' 6\n40195 ' wield' 6\n40196 ' wieś' 6\n40197 ' winds' 6\n40198 ' wines' 6\n40199 ' wings' 6\n40200 ' wiped' 6\n40201 ' wired' 6\n40202 ' wires' 6\n40203 ' witch' 6\n40204 ' withd' 6\n40205 ' wives' 6\n40206 ' więc' 6\n40207 ' woman' 6\n40208 ' women' 6\n40209 ' woods' 6\n40210 ' words' 6\n40211 ' wordt' 6\n40212 ' works' 6\n40213 ' world' 6\n40214 ' worms' 6\n40215 ' worry' 6\n40216 ' worse' 6\n40217 ' worst' 6\n40218 ' worth' 6\n40219 ' would' 6\n40220 ' wound' 6\n40221 ' woven' 6\n40222 ' wraps' 6\n40223 ' wrath' 6\n40224 ' wreck' 6\n40225 ' wrest' 6\n40226 ' wrink' 6\n40227 ' wrist' 6\n40228 ' write' 6\n40229 ' wrong' 6\n40230 ' wrote' 6\n40231 ' wurde' 6\n40232 ' wäre' 6\n40233 ' xmlns' 6\n40234 ' xpath' 6\n40235 ' yacht' 6\n40236 ' yards' 6\n40237 ' years' 6\n40238 ' yeast' 6\n40239 ' yield' 6\n40240 ' young' 6\n40241 ' yours' 6\n40242 ' youth' 6\n40243 ' zeros' 6\n40244 ' zones' 6\n40245 ' Über' 6\n40246 ' água' 6\n40247 ' área' 6\n40248 ' även' 6\n40249 ' égal' 6\n40250 ' élev' 6\n40251 ' état' 6\n40252 ' été' 6\n40253 ' évol' 6\n40254 ' êtes' 6\n40255 ' être' 6\n40256 ' över' 6\n40257 ' über' 6\n40258 ' Česk' 6\n40259 ' česk' 6\n40260 ' để' 6\n40261 ' đị' 6\n40262 ' độ' 6\n40263 '\":\"\",\"' 6\n40264 '######' 6\n40265 '******' 6\n40266 '------' 6\n40267 '-même' 6\n40268 '-être' 6\n40269 '......' 6\n40270 '../../' 6\n40271 '======' 6\n40272 'ACCESS' 6\n40273 'ACHINE' 6\n40274 'ACIÓN' 6\n40275 'ACTION' 6\n40276 'ACTIVE' 6\n40277 'ARCHAR' 6\n40278 'ARNING' 6\n40279 'ARRANT' 6\n40280 'ASSERT' 6\n40281 'ATIONS' 6\n40282 'Accept' 6\n40283 'Access' 6\n40284 'Action' 6\n40285 'Active' 6\n40286 'Actual' 6\n40287 'Adding' 6\n40288 'Adjust' 6\n40289 'Africa' 6\n40290 'Albert' 6\n40291 'Almost' 6\n40292 'Altern' 6\n40293 'Always' 6\n40294 'Amazon' 6\n40295 'Americ' 6\n40296 'Amount' 6\n40297 'Anchor' 6\n40298 'Andrew' 6\n40299 'Animal' 6\n40300 'Annual' 6\n40301 'Answer' 6\n40302 'Anyone' 6\n40303 'Anyway' 6\n40304 'Apache' 6\n40305 'Append' 6\n40306 'Around' 6\n40307 'Arrays' 6\n40308 'Arthur' 6\n40309 'Artist' 6\n40310 'Aspect' 6\n40311 'Assert' 6\n40312 'Assets' 6\n40313 'Assign' 6\n40314 'Associ' 6\n40315 'Assume' 6\n40316 'Attach' 6\n40317 'Attack' 6\n40318 'Attrib' 6\n40319 'August' 6\n40320 'Austin' 6\n40321 'Author' 6\n40322 'Avatar' 6\n40323 'BUFFER' 6\n40324 'BUTTON' 6\n40325 'Backup' 6\n40326 'Battle' 6\n40327 'Before' 6\n40328 'Better' 6\n40329 'Beyond' 6\n40330 'Binary' 6\n40331 'Binder' 6\n40332 'Bitmap' 6\n40333 'Blocks' 6\n40334 'Border' 6\n40335 'Boston' 6\n40336 'Bottom' 6\n40337 'Bounds' 6\n40338 'Branch' 6\n40339 'Brazil' 6\n40340 'Bridge' 6\n40341 'Bright' 6\n40342 'Browse' 6\n40343 'Bucket' 6\n40344 'Buffer' 6\n40345 'Bundle' 6\n40346 'Button' 6\n40347 'ByName' 6\n40348 'CENTER' 6\n40349 'CHANGE' 6\n40350 'CLIENT' 6\n40351 'CONFIG' 6\n40352 'CREATE' 6\n40353 'Cached' 6\n40354 'Calcul' 6\n40355 'Called' 6\n40356 'Caller' 6\n40357 'Camera' 6\n40358 'Canada' 6\n40359 'Cancel' 6\n40360 'Candid' 6\n40361 'Cannot' 6\n40362 'Canvas' 6\n40363 'Career' 6\n40364 'Center' 6\n40365 'Centre' 6\n40366 'Change' 6\n40367 'Choice' 6\n40368 'Choose' 6\n40369 'Christ' 6\n40370 'Chrome' 6\n40371 'Church' 6\n40372 'Cipher' 6\n40373 'Circle' 6\n40374 'Clause' 6\n40375 'Client' 6\n40376 'Closed' 6\n40377 'Colors' 6\n40378 'Colour' 6\n40379 'Column' 6\n40380 'Combat' 6\n40381 'Coming' 6\n40382 'Commit' 6\n40383 'Common' 6\n40384 'Commun' 6\n40385 'Compar' 6\n40386 'Compat' 6\n40387 'Compet' 6\n40388 'Comple' 6\n40389 'Comput' 6\n40390 'Concat' 6\n40391 'Config' 6\n40392 'Connor' 6\n40393 'Contin' 6\n40394 'Cookie' 6\n40395 'Coords' 6\n40396 'County' 6\n40397 'Course' 6\n40398 'Create' 6\n40399 'Credit' 6\n40400 'Crypto' 6\n40401 'Cursor' 6\n40402 'Custom' 6\n40403 'DEFINE' 6\n40404 'DELETE' 6\n40405 'DEVICE' 6\n40406 'DIRECT' 6\n40407 'DITION' 6\n40408 'DOMAIN' 6\n40409 'DOUBLE' 6\n40410 'Damage' 6\n40411 'Daniel' 6\n40412 'Decode' 6\n40413 'Define' 6\n40414 'Degree' 6\n40415 'Delete' 6\n40416 'Depart' 6\n40417 'Depend' 6\n40418 'Deploy' 6\n40419 'Design' 6\n40420 'Detail' 6\n40421 'Detect' 6\n40422 'Device' 6\n40423 'Dialog' 6\n40424 'Digest' 6\n40425 'Direct' 6\n40426 'Django' 6\n40427 'Doctor' 6\n40428 'Domain' 6\n40429 'Donald' 6\n40430 'Double' 6\n40431 'Dragon' 6\n40432 'Drawer' 6\n40433 'Driver' 6\n40434 'During' 6\n40435 'EDITOR' 6\n40436 'EINVAL' 6\n40437 'ENABLE' 6\n40438 'ENDING' 6\n40439 'ENGINE' 6\n40440 'ENSION' 6\n40441 'ENTIAL' 6\n40442 'ENTITY' 6\n40443 'ESSION' 6\n40444 'EXPORT' 6\n40445 'Editor' 6\n40446 'Edward' 6\n40447 'Effect' 6\n40448 'Either' 6\n40449 'Employ' 6\n40450 'Enable' 6\n40451 'Encode' 6\n40452 'Endian' 6\n40453 'Energy' 6\n40454 'Engine' 6\n40455 'Ensure' 6\n40456 'Entity' 6\n40457 'Enumer' 6\n40458 'Equals' 6\n40459 'Errors' 6\n40460 'Escape' 6\n40461 'Estado' 6\n40462 'Europe' 6\n40463 'Events' 6\n40464 'Except' 6\n40465 'Exists' 6\n40466 'Expand' 6\n40467 'Expect' 6\n40468 'Expert' 6\n40469 'Export' 6\n40470 'Extent' 6\n40471 'FAILED' 6\n40472 'FFFFFF' 6\n40473 'FIELDS' 6\n40474 'FILTER' 6\n40475 'FORMAT' 6\n40476 'FTWARE' 6\n40477 'Factor' 6\n40478 'Failed' 6\n40479 'Family' 6\n40480 'Father' 6\n40481 'Female' 6\n40482 'Fields' 6\n40483 'Figure' 6\n40484 'Filter' 6\n40485 'Finder' 6\n40486 'Finish' 6\n40487 'Finite' 6\n40488 'Flight' 6\n40489 'Folder' 6\n40490 'Follow' 6\n40491 'Footer' 6\n40492 'ForKey' 6\n40493 'Forest' 6\n40494 'Format' 6\n40495 'Former' 6\n40496 'Fourth' 6\n40497 'Frames' 6\n40498 'France' 6\n40499 'Franç' 6\n40500 'French' 6\n40501 'Friday' 6\n40502 'Friend' 6\n40503 'Frozen' 6\n40504 'Future' 6\n40505 'GROUND' 6\n40506 'Gender' 6\n40507 'George' 6\n40508 'German' 6\n40509 'Getter' 6\n40510 'GitHub' 6\n40511 'Github' 6\n40512 'Global' 6\n40513 'Golden' 6\n40514 'Google' 6\n40515 'Govern' 6\n40516 'Ground' 6\n40517 'Groups' 6\n40518 'HANDLE' 6\n40519 'HEADER' 6\n40520 'HEIGHT' 6\n40521 'Handle' 6\n40522 'Having' 6\n40523 'Header' 6\n40524 'Health' 6\n40525 'Height' 6\n40526 'Helper' 6\n40527 'Hidden' 6\n40528 'Holder' 6\n40529 'Howard' 6\n40530 'ICENSE' 6\n40531 'IGNORE' 6\n40532 'IMPORT' 6\n40533 'INGTON' 6\n40534 'INLINE' 6\n40535 'INSERT' 6\n40536 'Ignore' 6\n40537 'Images' 6\n40538 'Impact' 6\n40539 'Import' 6\n40540 'Indeed' 6\n40541 'Indent' 6\n40542 'Indian' 6\n40543 'Inform' 6\n40544 'Inject' 6\n40545 'Inline' 6\n40546 'Insert' 6\n40547 'Inside' 6\n40548 'Integr' 6\n40549 'Intent' 6\n40550 'Intern' 6\n40551 'Invest' 6\n40552 'Invite' 6\n40553 'Invoke' 6\n40554 'Israel' 6\n40555 'Johnny' 6\n40556 'Jordan' 6\n40557 'Joseph' 6\n40558 'Justin' 6\n40559 'Kernel' 6\n40560 'LENGTH' 6\n40561 'LINEAR' 6\n40562 'LOGGER' 6\n40563 'Labels' 6\n40564 'Lambda' 6\n40565 'Lastly' 6\n40566 'Latest' 6\n40567 'Launch' 6\n40568 'Layers' 6\n40569 'Layout' 6\n40570 'League' 6\n40571 'Legacy' 6\n40572 'Legend' 6\n40573 'Length' 6\n40574 'Letter' 6\n40575 'Linear' 6\n40576 'Linked' 6\n40577 'Listen' 6\n40578 'Little' 6\n40579 'Living' 6\n40580 'Loaded' 6\n40581 'Loader' 6\n40582 'Locale' 6\n40583 'Locked' 6\n40584 'Logged' 6\n40585 'Logger' 6\n40586 'London' 6\n40587 'Lookup' 6\n40588 'METHOD' 6\n40589 'MODULE' 6\n40590 'Making' 6\n40591 'Manage' 6\n40592 'Manual' 6\n40593 'Mapper' 6\n40594 'Margin' 6\n40595 'Marker' 6\n40596 'Market' 6\n40597 'Markup' 6\n40598 'Martin' 6\n40599 'Master' 6\n40600 'Matrix' 6\n40601 'Medium' 6\n40602 'Member' 6\n40603 'Memory' 6\n40604 'Method' 6\n40605 'Metric' 6\n40606 'Mexico' 6\n40607 'Middle' 6\n40608 'Miller' 6\n40609 'Minute' 6\n40610 'Mirror' 6\n40611 'Mobile' 6\n40612 'Models' 6\n40613 'Modern' 6\n40614 'Modify' 6\n40615 'Module' 6\n40616 'Moment' 6\n40617 'Monday' 6\n40618 'Mother' 6\n40619 'Motion' 6\n40620 'Moving' 6\n40621 'Muslim' 6\n40622 'NORMAL' 6\n40623 'NUMBER' 6\n40624 'Native' 6\n40625 'Nature' 6\n40626 'Needed' 6\n40627 'Nested' 6\n40628 'Newton' 6\n40629 'Nobody' 6\n40630 'Nombre' 6\n40631 'Normal' 6\n40632 'Notice' 6\n40633 'Notify' 6\n40634 'Number' 6\n40635 'OBJECT' 6\n40636 'OFFSET' 6\n40637 'OPTION' 6\n40638 'OUTPUT' 6\n40639 'Object' 6\n40640 'Observ' 6\n40641 'Office' 6\n40642 'Offset' 6\n40643 'Online' 6\n40644 'Option' 6\n40645 'Oracle' 6\n40646 'Orange' 6\n40647 'Orders' 6\n40648 'Orient' 6\n40649 'Origin' 6\n40650 'Others' 6\n40651 'Outlet' 6\n40652 'Output' 6\n40653 'PLAYER' 6\n40654 'PREFIX' 6\n40655 'PUBLIC' 6\n40656 'PYTHON' 6\n40657 'Packet' 6\n40658 'Params' 6\n40659 'Parent' 6\n40660 'Parser' 6\n40661 'Passed' 6\n40662 'People' 6\n40663 'Period' 6\n40664 'Person' 6\n40665 'Philip' 6\n40666 'Photos' 6\n40667 'Picker' 6\n40668 'Pieces' 6\n40669 'Pierre' 6\n40670 'Pixels' 6\n40671 'Pixmap' 6\n40672 'Planet' 6\n40673 'Player' 6\n40674 'Please' 6\n40675 'Plugin' 6\n40676 'Points' 6\n40677 'Police' 6\n40678 'Policy' 6\n40679 'Portal' 6\n40680 'Posted' 6\n40681 'Prefix' 6\n40682 'Pretty' 6\n40683 'Prince' 6\n40684 'Prompt' 6\n40685 'Propag' 6\n40686 'PubMed' 6\n40687 'Public' 6\n40688 'Python' 6\n40689 'QtCore' 6\n40690 'README' 6\n40691 'REGION' 6\n40692 'RESULT' 6\n40693 'RETURN' 6\n40694 'Rachel' 6\n40695 'Radius' 6\n40696 'Raises' 6\n40697 'Random' 6\n40698 'Raster' 6\n40699 'Rather' 6\n40700 'Rating' 6\n40701 'Reader' 6\n40702 'Really' 6\n40703 'Reason' 6\n40704 'Recall' 6\n40705 'Recent' 6\n40706 'Recipe' 6\n40707 'Recogn' 6\n40708 'Record' 6\n40709 'Reduce' 6\n40710 'RegExp' 6\n40711 'Region' 6\n40712 'Remote' 6\n40713 'Remove' 6\n40714 'Render' 6\n40715 'Repeat' 6\n40716 'Report' 6\n40717 'ResNet' 6\n40718 'Resize' 6\n40719 'Result' 6\n40720 'Resume' 6\n40721 'Return' 6\n40722 'Review' 6\n40723 'Reward' 6\n40724 'Robert' 6\n40725 'Rotate' 6\n40726 'Router' 6\n40727 'Routes' 6\n40728 'Runner' 6\n40729 'Russia' 6\n40730 'SEARCH' 6\n40731 'SECOND' 6\n40732 'SELECT' 6\n40733 'SERVER' 6\n40734 'SError' 6\n40735 'SOURCE' 6\n40736 'SQLite' 6\n40737 'STATIC' 6\n40738 'STATUS' 6\n40739 'STREAM' 6\n40740 'STRING' 6\n40741 'STRUCT' 6\n40742 'SYSTEM' 6\n40743 'Safari' 6\n40744 'Sample' 6\n40745 'Saving' 6\n40746 'Scalar' 6\n40747 'Schema' 6\n40748 'Scheme' 6\n40749 'School' 6\n40750 'Scient' 6\n40751 'Screen' 6\n40752 'Script' 6\n40753 'Scroll' 6\n40754 'Search' 6\n40755 'Season' 6\n40756 'Second' 6\n40757 'Secret' 6\n40758 'Secure' 6\n40759 'Select' 6\n40760 'Sender' 6\n40761 'Sensor' 6\n40762 'Serial' 6\n40763 'Series' 6\n40764 'Server' 6\n40765 'Setter' 6\n40766 'Shader' 6\n40767 'Shadow' 6\n40768 'Shared' 6\n40769 'Should' 6\n40770 'Signal' 6\n40771 'Signed' 6\n40772 'Silver' 6\n40773 'Simple' 6\n40774 'Single' 6\n40775 'Slider' 6\n40776 'Smooth' 6\n40777 'Social' 6\n40778 'Socket' 6\n40779 'Solver' 6\n40780 'Sorted' 6\n40781 'Sounds' 6\n40782 'Source' 6\n40783 'Sparse' 6\n40784 'Speech' 6\n40785 'Sphere' 6\n40786 'Spider' 6\n40787 'Sports' 6\n40788 'Spread' 6\n40789 'Spring' 6\n40790 'Sprite' 6\n40791 'Square' 6\n40792 'States' 6\n40793 'Static' 6\n40794 'Status' 6\n40795 'Steven' 6\n40796 'Stream' 6\n40797 'Street' 6\n40798 'Strict' 6\n40799 'String' 6\n40800 'Stroke' 6\n40801 'Strong' 6\n40802 'Struct' 6\n40803 'Studio' 6\n40804 'Styles' 6\n40805 'Submit' 6\n40806 'Suffix' 6\n40807 'Summer' 6\n40808 'Sunday' 6\n40809 'Switch' 6\n40810 'Symbol' 6\n40811 'Syntax' 6\n40812 'System' 6\n40813 'TARGET' 6\n40814 'TERNAL' 6\n40815 'THREAD' 6\n40816 'Tables' 6\n40817 'Taking' 6\n40818 'Target' 6\n40819 'Taylor' 6\n40820 'Tensor' 6\n40821 'Termin' 6\n40822 'Tester' 6\n40823 'Thanks' 6\n40824 'Things' 6\n40825 'Thomas' 6\n40826 'Though' 6\n40827 'Thread' 6\n40828 'Thông' 6\n40829 'Ticket' 6\n40830 'ToList' 6\n40831 'Toggle' 6\n40832 'Tokens' 6\n40833 'Travel' 6\n40834 'Triple' 6\n40835 'Trying' 6\n40836 'Twenty' 6\n40837 'TypeId' 6\n40838 'UIView' 6\n40839 'UPDATE' 6\n40840 'Ubuntu' 6\n40841 'Unable' 6\n40842 'Unique' 6\n40843 'United' 6\n40844 'Unless' 6\n40845 'Unlike' 6\n40846 'Unlock' 6\n40847 'Update' 6\n40848 'Upload' 6\n40849 'UserId' 6\n40850 'VALUES' 6\n40851 'VERIFY' 6\n40852 'VERTEX' 6\n40853 'Values' 6\n40854 'Vector' 6\n40855 'Vendor' 6\n40856 'Verify' 6\n40857 'Vertex' 6\n40858 'Victor' 6\n40859 'Videos' 6\n40860 'Viewer' 6\n40861 'Virgin' 6\n40862 'Vision' 6\n40863 'Visual' 6\n40864 'Volume' 6\n40865 'WINDOW' 6\n40866 'Walker' 6\n40867 'Weapon' 6\n40868 'WebKit' 6\n40869 'Weekly' 6\n40870 'Weight' 6\n40871 'Widget' 6\n40872 'Wilson' 6\n40873 'Window' 6\n40874 'Winter' 6\n40875 'Within' 6\n40876 'Wizard' 6\n40877 'Worker' 6\n40878 'Writer' 6\n40879 'Yellow' 6\n40880 'abases' 6\n40881 'abcdef' 6\n40882 'abella' 6\n40883 'abetes' 6\n40884 'abetic' 6\n40885 'abling' 6\n40886 'ablish' 6\n40887 'abolic' 6\n40888 'abouts' 6\n40889 'accent' 6\n40890 'accept' 6\n40891 'access' 6\n40892 'acchar' 6\n40893 'accord' 6\n40894 'acency' 6\n40895 'aceous' 6\n40896 'achers' 6\n40897 'achine' 6\n40898 'aching' 6\n40899 'acious' 6\n40900 'ación' 6\n40901 'ackage' 6\n40902 'ackets' 6\n40903 'acking' 6\n40904 'acters' 6\n40905 'acting' 6\n40906 'action' 6\n40907 'active' 6\n40908 'actors' 6\n40909 'actory' 6\n40910 'actual' 6\n40911 'actér' 6\n40912 'acular' 6\n40913 'adding' 6\n40914 'adjust' 6\n40915 'adores' 6\n40916 'advant' 6\n40917 'advert' 6\n40918 'affine' 6\n40919 'affirm' 6\n40920 'agency' 6\n40921 'agenda' 6\n40922 'agents' 6\n40923 'aggreg' 6\n40924 'agment' 6\n40925 'agogue' 6\n40926 'agonal' 6\n40927 'agrant' 6\n40928 'agraph' 6\n40929 'ailand' 6\n40930 'ailing' 6\n40931 'ailure' 6\n40932 'ainers' 6\n40933 'aining' 6\n40934 'ainted' 6\n40935 'akespe' 6\n40936 'alance' 6\n40937 'aleigh' 6\n40938 'alette' 6\n40939 'alleng' 6\n40940 'allery' 6\n40941 'alling' 6\n40942 'allows' 6\n40943 'almost' 6\n40944 'altern' 6\n40945 'alties' 6\n40946 'altung' 6\n40947 'always' 6\n40948 'alysis' 6\n40949 'amarin' 6\n40950 'amazon' 6\n40951 'amente' 6\n40952 'amento' 6\n40953 'aments' 6\n40954 'americ' 6\n40955 'ameter' 6\n40956 'amines' 6\n40957 'amment' 6\n40958 'ammers' 6\n40959 'amount' 6\n40960 'amping' 6\n40961 'ampion' 6\n40962 'amples' 6\n40963 'ampton' 6\n40964 'amsung' 6\n40965 'analog' 6\n40966 'ancell' 6\n40967 'ancers' 6\n40968 'anches' 6\n40969 'anchor' 6\n40970 'ancial' 6\n40971 'ancies' 6\n40972 'ancing' 6\n40973 'ancock' 6\n40974 'andard' 6\n40975 'andbox' 6\n40976 'anding' 6\n40977 'andler' 6\n40978 'aneous' 6\n40979 'angers' 6\n40980 'anging' 6\n40981 'angled' 6\n40982 'angles' 6\n40983 'animal' 6\n40984 'ankind' 6\n40985 'anking' 6\n40986 'annels' 6\n40987 'anners' 6\n40988 'anning' 6\n40989 'annual' 6\n40990 'année' 6\n40991 'ansion' 6\n40992 'answer' 6\n40993 'antage' 6\n40994 'antics' 6\n40995 'antine' 6\n40996 'anyahu' 6\n40997 'anças' 6\n40998 'apache' 6\n40999 'apolis' 6\n41000 'appear' 6\n41001 'append' 6\n41002 'appers' 6\n41003 'apping' 6\n41004 'applic' 6\n41005 'approx' 6\n41006 'après' 6\n41007 'apters' 6\n41008 'apture' 6\n41009 'arange' 6\n41010 'arbeit' 6\n41011 'arctan' 6\n41012 'arding' 6\n41013 'arette' 6\n41014 'argent' 6\n41015 'argmax' 6\n41016 'arians' 6\n41017 'ariant' 6\n41018 'arious' 6\n41019 'arming' 6\n41020 'armée' 6\n41021 'arness' 6\n41022 'arning' 6\n41023 'around' 6\n41024 'arrant' 6\n41025 'arrays' 6\n41026 'arring' 6\n41027 'arrows' 6\n41028 'arters' 6\n41029 'artist' 6\n41030 'ascade' 6\n41031 'ashing' 6\n41032 'ashion' 6\n41033 'askell' 6\n41034 'aspect' 6\n41035 'assert' 6\n41036 'assets' 6\n41037 'assign' 6\n41038 'assing' 6\n41039 'assium' 6\n41040 'associ' 6\n41041 'assume' 6\n41042 'astern' 6\n41043 'asters' 6\n41044 'astery' 6\n41045 'astics' 6\n41046 'asting' 6\n41047 'astype' 6\n41048 'asured' 6\n41049 'asures' 6\n41050 'atable' 6\n41051 'atalog' 6\n41052 'atched' 6\n41053 'atcher' 6\n41054 'atches' 6\n41055 'ateful' 6\n41056 'ategor' 6\n41057 'ateral' 6\n41058 'ateurs' 6\n41059 'atever' 6\n41060 'atform' 6\n41061 'athers' 6\n41062 'athing' 6\n41063 'athlon' 6\n41064 'atican' 6\n41065 'atinum' 6\n41066 'ations' 6\n41067 'atitis' 6\n41068 'ativas' 6\n41069 'atives' 6\n41070 'ativos' 6\n41071 'atoire' 6\n41072 'atomic' 6\n41073 'atonin' 6\n41074 'atorio' 6\n41075 'atrice' 6\n41076 'attach' 6\n41077 'attack' 6\n41078 'attend' 6\n41079 'attern' 6\n41080 'attery' 6\n41081 'attice' 6\n41082 'attrib' 6\n41083 'atural' 6\n41084 'atures' 6\n41085 'aucoup' 6\n41086 'aurant' 6\n41087 'author' 6\n41088 'autres' 6\n41089 'avatar' 6\n41090 'avirus' 6\n41091 'ayette' 6\n41092 'azeera' 6\n41093 'azines' 6\n41094 'azione' 6\n41095 'azioni' 6\n41096 'ação' 6\n41097 'backup' 6\n41098 'banner' 6\n41099 'battle' 6\n41100 'before' 6\n41101 'belief' 6\n41102 'berger' 6\n41103 'bestos' 6\n41104 'better' 6\n41105 'biased' 6\n41106 'bidden' 6\n41107 'binary' 6\n41108 'bishop' 6\n41109 'bitmap' 6\n41110 'blocks' 6\n41111 'boards' 6\n41112 'border' 6\n41113 'bottom' 6\n41114 'bounce' 6\n41115 'bounds' 6\n41116 'bourne' 6\n41117 'brahim' 6\n41118 'brains' 6\n41119 'branch' 6\n41120 'braska' 6\n41121 'breaks' 6\n41122 'bridge' 6\n41123 'bright' 6\n41124 'broken' 6\n41125 'browse' 6\n41126 'bubble' 6\n41127 'bucket' 6\n41128 'budget' 6\n41129 'buffer' 6\n41130 'bullet' 6\n41131 'bundle' 6\n41132 'burger' 6\n41133 'button' 6\n41134 'cached' 6\n41135 'calcul' 6\n41136 'called' 6\n41137 'caller' 6\n41138 'camera' 6\n41139 'cancel' 6\n41140 'cancer' 6\n41141 'cannot' 6\n41142 'canvas' 6\n41143 'carbon' 6\n41144 'caster' 6\n41145 'castle' 6\n41146 'cation' 6\n41147 'caught' 6\n41148 'cción' 6\n41149 'cedure' 6\n41150 'ceeded' 6\n41151 'ceived' 6\n41152 'ceiver' 6\n41153 'celand' 6\n41154 'cember' 6\n41155 'cement' 6\n41156 'center' 6\n41157 'centre' 6\n41158 'ceptor' 6\n41159 'chains' 6\n41160 'change' 6\n41161 'charge' 6\n41162 'charts' 6\n41163 'checks' 6\n41164 'choice' 6\n41165 'choose' 6\n41166 'chosen' 6\n41167 'christ' 6\n41168 'chrome' 6\n41169 'church' 6\n41170 'cience' 6\n41171 'cipher' 6\n41172 'circle' 6\n41173 'cision' 6\n41174 'claims' 6\n41175 'clause' 6\n41176 'client' 6\n41177 'cliffe' 6\n41178 'clinic' 6\n41179 'clipse' 6\n41180 'closed' 6\n41181 'cluded' 6\n41182 'cludes' 6\n41183 'coding' 6\n41184 'colors' 6\n41185 'colour' 6\n41186 'column' 6\n41187 'combin' 6\n41188 'coming' 6\n41189 'commit' 6\n41190 'common' 6\n41191 'commun' 6\n41192 'compan' 6\n41193 'compar' 6\n41194 'compat' 6\n41195 'compet' 6\n41196 'comple' 6\n41197 'comput' 6\n41198 'concat' 6\n41199 'config' 6\n41200 'conjug' 6\n41201 'consin' 6\n41202 'constr' 6\n41203 'consum' 6\n41204 'contig' 6\n41205 'contin' 6\n41206 'contra' 6\n41207 'contre' 6\n41208 'contro' 6\n41209 'conver' 6\n41210 'convex' 6\n41211 'cookie' 6\n41212 'coords' 6\n41213 'corner' 6\n41214 'corpor' 6\n41215 'counts' 6\n41216 'course' 6\n41217 'covery' 6\n41218 'create' 6\n41219 'credit' 6\n41220 'creens' 6\n41221 'cribed' 6\n41222 'criter' 6\n41223 'crypto' 6\n41224 'ctions' 6\n41225 'ctrine' 6\n41226 'cuador' 6\n41227 'culate' 6\n41228 'curity' 6\n41229 'cursor' 6\n41230 'custom' 6\n41231 'cutoff' 6\n41232 'cycles' 6\n41233 'daemon' 6\n41234 'dagger' 6\n41235 'damage' 6\n41236 'danger' 6\n41237 'darwin' 6\n41238 'dashed' 6\n41239 'dating' 6\n41240 'debian' 6\n41241 'declar' 6\n41242 'decode' 6\n41243 'define' 6\n41244 'degree' 6\n41245 'dehyde' 6\n41246 'delete' 6\n41247 'demand' 6\n41248 'demás' 6\n41249 'depart' 6\n41250 'depend' 6\n41251 'deploy' 6\n41252 'derive' 6\n41253 'design' 6\n41254 'detach' 6\n41255 'detail' 6\n41256 'detect' 6\n41257 'determ' 6\n41258 'device' 6\n41259 'dialog' 6\n41260 'digest' 6\n41261 'digits' 6\n41262 'direct' 6\n41263 'dition' 6\n41264 'divide' 6\n41265 'django' 6\n41266 'docker' 6\n41267 'doctor' 6\n41268 'dollar' 6\n41269 'domain' 6\n41270 'dotted' 6\n41271 'double' 6\n41272 'dragon' 6\n41273 'driven' 6\n41274 'driver' 6\n41275 'ducers' 6\n41276 'ductor' 6\n41277 'during' 6\n41278 'dział' 6\n41279 'earing' 6\n41280 'eating' 6\n41281 'ecause' 6\n41282 'econom' 6\n41283 'ection' 6\n41284 'ective' 6\n41285 'ectomy' 6\n41286 'ectors' 6\n41287 'ecycle' 6\n41288 'ederal' 6\n41289 'edited' 6\n41290 'editor' 6\n41291 'effect' 6\n41292 'efined' 6\n41293 'either' 6\n41294 'elaide' 6\n41295 'elcome' 6\n41296 'elfare' 6\n41297 'elines' 6\n41298 'ellect' 6\n41299 'ellers' 6\n41300 'ellery' 6\n41301 'elling' 6\n41302 'ellite' 6\n41303 'elsius' 6\n41304 'emails' 6\n41305 'emaker' 6\n41306 'ematic' 6\n41307 'embers' 6\n41308 'embros' 6\n41309 'emente' 6\n41310 'ements' 6\n41311 'employ' 6\n41312 'enable' 6\n41313 'enance' 6\n41314 'enario' 6\n41315 'enberg' 6\n41316 'enburg' 6\n41317 'encial' 6\n41318 'encias' 6\n41319 'encies' 6\n41320 'encing' 6\n41321 'encode' 6\n41322 'endant' 6\n41323 'endent' 6\n41324 'enders' 6\n41325 'ending' 6\n41326 'endorf' 6\n41327 'enegro' 6\n41328 'energy' 6\n41329 'engers' 6\n41330 'engine' 6\n41331 'enkins' 6\n41332 'enment' 6\n41333 'ennial' 6\n41334 'enough' 6\n41335 'ensing' 6\n41336 'ension' 6\n41337 'ensity' 6\n41338 'ensive' 6\n41339 'ensors' 6\n41340 'ensure' 6\n41341 'enthal' 6\n41342 'ential' 6\n41343 'enting' 6\n41344 'ention' 6\n41345 'entity' 6\n41346 'entral' 6\n41347 'entric' 6\n41348 'enumer' 6\n41349 'enzyme' 6\n41350 'epochs' 6\n41351 'equals' 6\n41352 'ercial' 6\n41353 'ercise' 6\n41354 'ermann' 6\n41355 'ername' 6\n41356 'ernate' 6\n41357 'ernels' 6\n41358 'erness' 6\n41359 'errors' 6\n41360 'ership' 6\n41361 'ersion' 6\n41362 'ertain' 6\n41363 'ervice' 6\n41364 'erving' 6\n41365 'escape' 6\n41366 'essage' 6\n41367 'essing' 6\n41368 'ession' 6\n41369 'essler' 6\n41370 'esség' 6\n41371 'establ' 6\n41372 'estado' 6\n41373 'estamp' 6\n41374 'estate' 6\n41375 'estead' 6\n41376 'esteem' 6\n41377 'esters' 6\n41378 'estine' 6\n41379 'esting' 6\n41380 'estion' 6\n41381 'estone' 6\n41382 'estyle' 6\n41383 'etable' 6\n41384 'etheus' 6\n41385 'ething' 6\n41386 'etimes' 6\n41387 'etting' 6\n41388 'events' 6\n41389 'except' 6\n41390 'execut' 6\n41391 'exists' 6\n41392 'expand' 6\n41393 'expect' 6\n41394 'expert' 6\n41395 'expire' 6\n41396 'export' 6\n41397 'extend' 6\n41398 'extent' 6\n41399 'extern' 6\n41400 'extras' 6\n41401 'fabric' 6\n41402 'facing' 6\n41403 'factor' 6\n41404 'failed' 6\n41405 'family' 6\n41406 'faster' 6\n41407 'father' 6\n41408 'female' 6\n41409 'ferred' 6\n41410 'ffffff' 6\n41411 'ffield' 6\n41412 'ffmpeg' 6\n41413 'fiddle' 6\n41414 'fields' 6\n41415 'figure' 6\n41416 'filled' 6\n41417 'fillna' 6\n41418 'filter' 6\n41419 'finals' 6\n41420 'finder' 6\n41421 'finger' 6\n41422 'finish' 6\n41423 'finite' 6\n41424 'finity' 6\n41425 'flight' 6\n41426 'flower' 6\n41427 'folder' 6\n41428 'folios' 6\n41429 'follow' 6\n41430 'foobar' 6\n41431 'footer' 6\n41432 'forall' 6\n41433 'forced' 6\n41434 'forcer' 6\n41435 'forces' 6\n41436 'forest' 6\n41437 'forget' 6\n41438 'formal' 6\n41439 'format' 6\n41440 'formed' 6\n41441 'former' 6\n41442 'fortun' 6\n41443 'fourth' 6\n41444 'frames' 6\n41445 'freeze' 6\n41446 'friend' 6\n41447 'frozen' 6\n41448 'ftware' 6\n41449 'fusion' 6\n41450 'future' 6\n41451 'führt' 6\n41452 'gather' 6\n41453 'gebras' 6\n41454 'gement' 6\n41455 'gender' 6\n41456 'genome' 6\n41457 'genres' 6\n41458 'gerald' 6\n41459 'geries' 6\n41460 'getAll' 6\n41461 'getInt' 6\n41462 'gether' 6\n41463 'getter' 6\n41464 'github' 6\n41465 'giving' 6\n41466 'global' 6\n41467 'glomer' 6\n41468 'gments' 6\n41469 'gomery' 6\n41470 'google' 6\n41471 'gorith' 6\n41472 'graded' 6\n41473 'grades' 6\n41474 'gradle' 6\n41475 'graphs' 6\n41476 'greSQL' 6\n41477 'gresql' 6\n41478 'ground' 6\n41479 'groups' 6\n41480 'growth' 6\n41481 'guards' 6\n41482 'guided' 6\n41483 'hadoop' 6\n41484 'halten' 6\n41485 'hammer' 6\n41486 'handed' 6\n41487 'handle' 6\n41488 'hattan' 6\n41489 'hausen' 6\n41490 'having' 6\n41491 'havior' 6\n41492 'headed' 6\n41493 'header' 6\n41494 'health' 6\n41495 'hedral' 6\n41496 'hedron' 6\n41497 'height' 6\n41498 'heimer' 6\n41499 'helial' 6\n41500 'helper' 6\n41501 'herent' 6\n41502 'hesion' 6\n41503 'hesive' 6\n41504 'hetics' 6\n41505 'hidden' 6\n41506 'higher' 6\n41507 'histor' 6\n41508 'holder' 6\n41509 'houses' 6\n41510 'hybrid' 6\n41511 'hören' 6\n41512 'iPhone' 6\n41513 'iances' 6\n41514 'iating' 6\n41515 'iation' 6\n41516 'iative' 6\n41517 'iatric' 6\n41518 'ibling' 6\n41519 'ibrary' 6\n41520 'icable' 6\n41521 'ically' 6\n41522 'icated' 6\n41523 'icates' 6\n41524 'icator' 6\n41525 'icense' 6\n41526 'ichael' 6\n41527 'ichier' 6\n41528 'ichlet' 6\n41529 'ichten' 6\n41530 'icians' 6\n41531 'iciary' 6\n41532 'icides' 6\n41533 'icient' 6\n41534 'icions' 6\n41535 'icious' 6\n41536 'ición' 6\n41537 'ickers' 6\n41538 'ickets' 6\n41539 'icking' 6\n41540 'icolor' 6\n41541 'iction' 6\n41542 'icture' 6\n41543 'icular' 6\n41544 'icycle' 6\n41545 'idable' 6\n41546 'idades' 6\n41547 'idding' 6\n41548 'idence' 6\n41549 'idency' 6\n41550 'idente' 6\n41551 'idents' 6\n41552 'idious' 6\n41553 'iemann' 6\n41554 'iembre' 6\n41555 'ienced' 6\n41556 'iences' 6\n41557 'iencia' 6\n41558 'ientes' 6\n41559 'ientos' 6\n41560 'ientí' 6\n41561 'ierten' 6\n41562 'ierung' 6\n41563 'ieties' 6\n41564 'ieving' 6\n41565 'ifacts' 6\n41566 'ificar' 6\n41567 'ifiers' 6\n41568 'ifique' 6\n41569 'ifndef' 6\n41570 'iframe' 6\n41571 'ifting' 6\n41572 'ifying' 6\n41573 'igated' 6\n41574 'igator' 6\n41575 'iggers' 6\n41576 'iggins' 6\n41577 'ighbor' 6\n41578 'ighter' 6\n41579 'iginal' 6\n41580 'igious' 6\n41581 'igkeit' 6\n41582 'ignant' 6\n41583 'ignore' 6\n41584 'igrant' 6\n41585 'igraph' 6\n41586 'igrate' 6\n41587 'igroup' 6\n41588 'iguous' 6\n41589 'ilated' 6\n41590 'iliary' 6\n41591 'ilight' 6\n41592 'illage' 6\n41593 'illard' 6\n41594 'illary' 6\n41595 'illery' 6\n41596 'illian' 6\n41597 'illing' 6\n41598 'illion' 6\n41599 'images' 6\n41600 'imagin' 6\n41601 'imated' 6\n41602 'imates' 6\n41603 'imedia' 6\n41604 'imento' 6\n41605 'iments' 6\n41606 'imeter' 6\n41607 'imilar' 6\n41608 'imiter' 6\n41609 'imité' 6\n41610 'imming' 6\n41611 'immune' 6\n41612 'impact' 6\n41613 'import' 6\n41614 'imshow' 6\n41615 'inally' 6\n41616 'inated' 6\n41617 'inator' 6\n41618 'incess' 6\n41619 'incoln' 6\n41620 'income' 6\n41621 'indent' 6\n41622 'inders' 6\n41623 'indice' 6\n41624 'inding' 6\n41625 'indows' 6\n41626 'indust' 6\n41627 'inence' 6\n41628 'inform' 6\n41629 'ingers' 6\n41630 'ingham' 6\n41631 'inging' 6\n41632 'ington' 6\n41633 'inical' 6\n41634 'inject' 6\n41635 'inking' 6\n41636 'inline' 6\n41637 'inputs' 6\n41638 'insert' 6\n41639 'inside' 6\n41640 'inston' 6\n41641 'insula' 6\n41642 'intage' 6\n41643 'integr' 6\n41644 'intent' 6\n41645 'intern' 6\n41646 'interp' 6\n41647 'inters' 6\n41648 'intosh' 6\n41649 'invent' 6\n41650 'invert' 6\n41651 'invest' 6\n41652 'invite' 6\n41653 'invoke' 6\n41654 'iology' 6\n41655 'ionage' 6\n41656 'ionale' 6\n41657 'iosity' 6\n41658 'iotics' 6\n41659 'iously' 6\n41660 'ipedia' 6\n41661 'iphone' 6\n41662 'ipient' 6\n41663 'ipline' 6\n41664 'ipment' 6\n41665 'ippers' 6\n41666 'ippets' 6\n41667 'ipping' 6\n41668 'irable' 6\n41669 'irical' 6\n41670 'irling' 6\n41671 'irteen' 6\n41672 'irtual' 6\n41673 'ischen' 6\n41674 'ischer' 6\n41675 'isease' 6\n41676 'ishers' 6\n41677 'ishing' 6\n41678 'ishops' 6\n41679 'isible' 6\n41680 'isions' 6\n41681 'isión' 6\n41682 'isodes' 6\n41683 'issant' 6\n41684 'issent' 6\n41685 'isseur' 6\n41686 'issing' 6\n41687 'ission' 6\n41688 'issors' 6\n41689 'issued' 6\n41690 'issues' 6\n41691 'issão' 6\n41692 'istani' 6\n41693 'istant' 6\n41694 'istema' 6\n41695 'istent' 6\n41696 'isters' 6\n41697 'istics' 6\n41698 'istine' 6\n41699 'isting' 6\n41700 'istors' 6\n41701 'istory' 6\n41702 'isées' 6\n41703 'itable' 6\n41704 'itably' 6\n41705 'itaire' 6\n41706 'italic' 6\n41707 'itance' 6\n41708 'itated' 6\n41709 'itates' 6\n41710 'itched' 6\n41711 'itchen' 6\n41712 'itches' 6\n41713 'itemap' 6\n41714 'itions' 6\n41715 'itious' 6\n41716 'itives' 6\n41717 'itized' 6\n41718 'itness' 6\n41719 'itored' 6\n41720 'ittest' 6\n41721 'itting' 6\n41722 'itudes' 6\n41723 'itures' 6\n41724 'ivable' 6\n41725 'ivated' 6\n41726 'ivered' 6\n41727 'iverse' 6\n41728 'ività' 6\n41729 'izable' 6\n41730 'izards' 6\n41731 'izarre' 6\n41732 'izione' 6\n41733 'izzard' 6\n41734 'ição' 6\n41735 'ières' 6\n41736 'jQuery' 6\n41737 'jected' 6\n41738 'joined' 6\n41739 'jquery' 6\n41740 'jící' 6\n41741 'keeper' 6\n41742 'keiten' 6\n41743 'kernel' 6\n41744 'kinson' 6\n41745 'kowski' 6\n41746 'kwargs' 6\n41747 'labels' 6\n41748 'lahoma' 6\n41749 'lambda' 6\n41750 'lament' 6\n41751 'lander' 6\n41752 'langle' 6\n41753 'ların' 6\n41754 'lasses' 6\n41755 'lastic' 6\n41756 'latent' 6\n41757 'latest' 6\n41758 'lation' 6\n41759 'launch' 6\n41760 'layers' 6\n41761 'layout' 6\n41762 'leader' 6\n41763 'league' 6\n41764 'leased' 6\n41765 'leases' 6\n41766 'lected' 6\n41767 'lector' 6\n41768 'legacy' 6\n41769 'legate' 6\n41770 'legend' 6\n41771 'lement' 6\n41772 'lename' 6\n41773 'leneck' 6\n41774 'leness' 6\n41775 'length' 6\n41776 'lessly' 6\n41777 'leting' 6\n41778 'letion' 6\n41779 'letter' 6\n41780 'levant' 6\n41781 'levard' 6\n41782 'levels' 6\n41783 'lichen' 6\n41784 'licher' 6\n41785 'lights' 6\n41786 'likely' 6\n41787 'limits' 6\n41788 'linear' 6\n41789 'lineno' 6\n41790 'liness' 6\n41791 'linger' 6\n41792 'lining' 6\n41793 'linked' 6\n41794 'liquid' 6\n41795 'listed' 6\n41796 'listen' 6\n41797 'little' 6\n41798 'living' 6\n41799 'loaded' 6\n41800 'loader' 6\n41801 'locale' 6\n41802 'locate' 6\n41803 'locked' 6\n41804 'logged' 6\n41805 'logger' 6\n41806 'logits' 6\n41807 'logout' 6\n41808 'lookup' 6\n41809 'losses' 6\n41810 'lowest' 6\n41811 'lywood' 6\n41812 'makers' 6\n41813 'making' 6\n41814 'malink' 6\n41815 'malloc' 6\n41816 'manage' 6\n41817 'manent' 6\n41818 'manual' 6\n41819 'manuel' 6\n41820 'mapped' 6\n41821 'mapper' 6\n41822 'mapsto' 6\n41823 'margin' 6\n41824 'marine' 6\n41825 'marked' 6\n41826 'marker' 6\n41827 'market' 6\n41828 'markup' 6\n41829 'masked' 6\n41830 'master' 6\n41831 'mathbb' 6\n41832 'mathbf' 6\n41833 'mathit' 6\n41834 'mathop' 6\n41835 'mathrm' 6\n41836 'mathsf' 6\n41837 'matrix' 6\n41838 'matter' 6\n41839 'median' 6\n41840 'medium' 6\n41841 'member' 6\n41842 'memcpy' 6\n41843 'memory' 6\n41844 'mental' 6\n41845 'mented' 6\n41846 'merged' 6\n41847 'method' 6\n41848 'metics' 6\n41849 'metric' 6\n41850 'metros' 6\n41851 'middle' 6\n41852 'minent' 6\n41853 'mining' 6\n41854 'minute' 6\n41855 'mirror' 6\n41856 'mitted' 6\n41857 'mittel' 6\n41858 'mitter' 6\n41859 'mobile' 6\n41860 'models' 6\n41861 'modern' 6\n41862 'modify' 6\n41863 'module' 6\n41864 'moment' 6\n41865 'monary' 6\n41866 'monkey' 6\n41867 'months' 6\n41868 'monton' 6\n41869 'mostly' 6\n41870 'mother' 6\n41871 'motion' 6\n41872 'moveTo' 6\n41873 'moving' 6\n41874 'multip' 6\n41875 'mysqli' 6\n41876 'naires' 6\n41877 'nament' 6\n41878 'namese' 6\n41879 'nation' 6\n41880 'native' 6\n41881 'nature' 6\n41882 'navbar' 6\n41883 'necess' 6\n41884 'needed' 6\n41885 'nehmen' 6\n41886 'nement' 6\n41887 'nesday' 6\n41888 'nesota' 6\n41889 'nested' 6\n41890 'neuron' 6\n41891 'ningen' 6\n41892 'ninger' 6\n41893 'nombre' 6\n41894 'normal' 6\n41895 'nostic' 6\n41896 'notice' 6\n41897 'notify' 6\n41898 'ności' 6\n41899 'ność' 6\n41900 'number' 6\n41901 'obiles' 6\n41902 'object' 6\n41903 'oblast' 6\n41904 'observ' 6\n41905 'obtain' 6\n41906 'ocaust' 6\n41907 'ochond' 6\n41908 'ociety' 6\n41909 'ockets' 6\n41910 'ocracy' 6\n41911 'ocrats' 6\n41912 'ocrine' 6\n41913 'ocular' 6\n41914 'ocused' 6\n41915 'ocytes' 6\n41916 'odynam' 6\n41917 'office' 6\n41918 'offset' 6\n41919 'ogenic' 6\n41920 'ogonal' 6\n41921 'ograms' 6\n41922 'ograph' 6\n41923 'olated' 6\n41924 'olding' 6\n41925 'oldown' 6\n41926 'ollary' 6\n41927 'ologia' 6\n41928 'ologic' 6\n41929 'ologie' 6\n41930 'ologne' 6\n41931 'ologue' 6\n41932 'olving' 6\n41933 'olysis' 6\n41934 'olytic' 6\n41935 'omatic' 6\n41936 'ombres' 6\n41937 'ometer' 6\n41938 'ometry' 6\n41939 'omonas' 6\n41940 'omorph' 6\n41941 'omycin' 6\n41942 'omány' 6\n41943 'onacci' 6\n41944 'onders' 6\n41945 'onents' 6\n41946 'onical' 6\n41947 'online' 6\n41948 'onomic' 6\n41949 'onucle' 6\n41950 'ooting' 6\n41951 'opathy' 6\n41952 'opause' 6\n41953 'opcode' 6\n41954 'opened' 6\n41955 'ophage' 6\n41956 'ophila' 6\n41957 'ophile' 6\n41958 'ophone' 6\n41959 'ophyll' 6\n41960 'oplast' 6\n41961 'optera' 6\n41962 'option' 6\n41963 'orable' 6\n41964 'oracle' 6\n41965 'orange' 6\n41966 'orders' 6\n41967 'ordial' 6\n41968 'ording' 6\n41969 'orical' 6\n41970 'orient' 6\n41971 'origin' 6\n41972 'orious' 6\n41973 'orneys' 6\n41974 'orphic' 6\n41975 'orsche' 6\n41976 'orship' 6\n41977 'orting' 6\n41978 'ortion' 6\n41979 'ortium' 6\n41980 'osaurs' 6\n41981 'oscope' 6\n41982 'osomal' 6\n41983 'osomes' 6\n41984 'ospace' 6\n41985 'ossier' 6\n41986 'ostał' 6\n41987 'ostics' 6\n41988 'ostęp' 6\n41989 'otechn' 6\n41990 'others' 6\n41991 'othing' 6\n41992 'otides' 6\n41993 'otimes' 6\n41994 'otions' 6\n41995 'otonin' 6\n41996 'otoxic' 6\n41997 'otypes' 6\n41998 'oubted' 6\n41999 'ouched' 6\n42000 'oucher' 6\n42001 'oulder' 6\n42002 'ounced' 6\n42003 'ounces' 6\n42004 'ounded' 6\n42005 'ounter' 6\n42006 'ourage' 6\n42007 'ourced' 6\n42008 'ources' 6\n42009 'ournal' 6\n42010 'ourses' 6\n42011 'ousand' 6\n42012 'ousing' 6\n42013 'oustic' 6\n42014 'ouston' 6\n42015 'outine' 6\n42016 'outing' 6\n42017 'output' 6\n42018 'outube' 6\n42019 'ovolta' 6\n42020 'ových' 6\n42021 'owania' 6\n42022 'owała' 6\n42023 'owners' 6\n42024 'packed' 6\n42025 'packet' 6\n42026 'paired' 6\n42027 'pandas' 6\n42028 'papers' 6\n42029 'params' 6\n42030 'parent' 6\n42031 'paring' 6\n42032 'parity' 6\n42033 'parsed' 6\n42034 'parser' 6\n42035 'passed' 6\n42036 'passwd' 6\n42037 'pción' 6\n42038 'pecies' 6\n42039 'pected' 6\n42040 'people' 6\n42041 'perate' 6\n42042 'pering' 6\n42043 'period' 6\n42044 'permit' 6\n42045 'person' 6\n42046 'phabet' 6\n42047 'phants' 6\n42048 'phasis' 6\n42049 'pheres' 6\n42050 'phones' 6\n42051 'phosph' 6\n42052 'photon' 6\n42053 'photos' 6\n42054 'phrase' 6\n42055 'picker' 6\n42056 'pickle' 6\n42057 'pieces' 6\n42058 'pixels' 6\n42059 'placed' 6\n42060 'places' 6\n42061 'planes' 6\n42062 'planet' 6\n42063 'plants' 6\n42064 'plates' 6\n42065 'played' 6\n42066 'player' 6\n42067 'please' 6\n42068 'pleted' 6\n42069 'plicit' 6\n42070 'pliers' 6\n42071 'plings' 6\n42072 'plugin' 6\n42073 'plural' 6\n42074 'points' 6\n42075 'police' 6\n42076 'policy' 6\n42077 'ponder' 6\n42078 'ponent' 6\n42079 'portal' 6\n42080 'ported' 6\n42081 'porter' 6\n42082 'posing' 6\n42083 'posite' 6\n42084 'posium' 6\n42085 'posted' 6\n42086 'poster' 6\n42087 'posure' 6\n42088 'powers' 6\n42089 'ppings' 6\n42090 'pragma' 6\n42091 'preced' 6\n42092 'prefer' 6\n42093 'prefix' 6\n42094 'pretty' 6\n42095 'primer' 6\n42096 'printf' 6\n42097 'prints' 6\n42098 'prises' 6\n42099 'profit' 6\n42100 'prompt' 6\n42101 'propag' 6\n42102 'proper' 6\n42103 'propri' 6\n42104 'proved' 6\n42105 'prüft' 6\n42106 'prüng' 6\n42107 'pseudo' 6\n42108 'psilon' 6\n42109 'ptions' 6\n42110 'public' 6\n42111 'purple' 6\n42112 'pygame' 6\n42113 'pytest' 6\n42114 'python' 6\n42115 'queeze' 6\n42116 'quelle' 6\n42117 'quence' 6\n42118 'quette' 6\n42119 'quired' 6\n42120 'quirer' 6\n42121 'quires' 6\n42122 'quoted' 6\n42123 'rabbit' 6\n42124 'ractor' 6\n42125 'radius' 6\n42126 'rained' 6\n42127 'raisal' 6\n42128 'raised' 6\n42129 'random' 6\n42130 'ranges' 6\n42131 'rangle' 6\n42132 'ranked' 6\n42133 'raphic' 6\n42134 'rapper' 6\n42135 'rather' 6\n42136 'rating' 6\n42137 'ration' 6\n42138 'rative' 6\n42139 'rators' 6\n42140 'reader' 6\n42141 'really' 6\n42142 'reason' 6\n42143 'reated' 6\n42144 'recall' 6\n42145 'recent' 6\n42146 'recipe' 6\n42147 'recogn' 6\n42148 'record' 6\n42149 'reddit' 6\n42150 'reduce' 6\n42151 'refund' 6\n42152 'regexp' 6\n42153 'region' 6\n42154 'regist' 6\n42155 'reject' 6\n42156 'reland' 6\n42157 'reload' 6\n42158 'remain' 6\n42159 'remark' 6\n42160 'rement' 6\n42161 'remote' 6\n42162 'remove' 6\n42163 'rename' 6\n42164 'render' 6\n42165 'rength' 6\n42166 'repair' 6\n42167 'repeat' 6\n42168 'report' 6\n42169 'resent' 6\n42170 'resize' 6\n42171 'resnet' 6\n42172 'respon' 6\n42173 'ressed' 6\n42174 'resses' 6\n42175 'result' 6\n42176 'resume' 6\n42177 'retrie' 6\n42178 'return' 6\n42179 'retval' 6\n42180 'review' 6\n42181 'reward' 6\n42182 'riages' 6\n42183 'ribute' 6\n42184 'ricane' 6\n42185 'riched' 6\n42186 'ridden' 6\n42187 'riding' 6\n42188 'riends' 6\n42189 'rients' 6\n42190 'rieved' 6\n42191 'rified' 6\n42192 'rights' 6\n42193 'rising' 6\n42194 'rition' 6\n42195 'ritten' 6\n42196 'rivate' 6\n42197 'rière' 6\n42198 'rogate' 6\n42199 'rogram' 6\n42200 'roleum' 6\n42201 'rolled' 6\n42202 'roller' 6\n42203 'rology' 6\n42204 'rophic' 6\n42205 'rotate' 6\n42206 'rottle' 6\n42207 'router' 6\n42208 'routes' 6\n42209 'rovers' 6\n42210 'rowave' 6\n42211 'rowing' 6\n42212 'rowser' 6\n42213 'rstrip' 6\n42214 'runner' 6\n42215 'rupted' 6\n42216 'rypted' 6\n42217 'rások' 6\n42218 'sample' 6\n42219 'saving' 6\n42220 'scalar' 6\n42221 'scaled' 6\n42222 'scales' 6\n42223 'scenes' 6\n42224 'schema' 6\n42225 'scheme' 6\n42226 'school' 6\n42227 'scient' 6\n42228 'scores' 6\n42229 'screen' 6\n42230 'scribe' 6\n42231 'script' 6\n42232 'scroll' 6\n42233 'search' 6\n42234 'season' 6\n42235 'second' 6\n42236 'secret' 6\n42237 'sector' 6\n42238 'secure' 6\n42239 'seeing' 6\n42240 'select' 6\n42241 'seller' 6\n42242 'selves' 6\n42243 'semble' 6\n42244 'sembly' 6\n42245 'sender' 6\n42246 'sensor' 6\n42247 'serial' 6\n42248 'series' 6\n42249 'serrat' 6\n42250 'server' 6\n42251 'setter' 6\n42252 'severe' 6\n42253 'sexual' 6\n42254 'shader' 6\n42255 'shadow' 6\n42256 'shaped' 6\n42257 'shapes' 6\n42258 'shared' 6\n42259 'shares' 6\n42260 'sheets' 6\n42261 'shield' 6\n42262 'shifts' 6\n42263 'should' 6\n42264 'signal' 6\n42265 'signed' 6\n42266 'silent' 6\n42267 'silver' 6\n42268 'simple' 6\n42269 'single' 6\n42270 'sizeof' 6\n42271 'skirts' 6\n42272 'sklär' 6\n42273 'ského' 6\n42274 'ských' 6\n42275 'slider' 6\n42276 'slides' 6\n42277 'smooth' 6\n42278 'social' 6\n42279 'socket' 6\n42280 'soever' 6\n42281 'solete' 6\n42282 'solute' 6\n42283 'solver' 6\n42284 'sorted' 6\n42285 'source' 6\n42286 'spacer' 6\n42287 'spaces' 6\n42288 'sparse' 6\n42289 'speech' 6\n42290 'sphere' 6\n42291 'spirit' 6\n42292 'splice' 6\n42293 'spoken' 6\n42294 'sports' 6\n42295 'spread' 6\n42296 'spring' 6\n42297 'sprite' 6\n42298 'sqlite' 6\n42299 'square' 6\n42300 'stable' 6\n42301 'stairs' 6\n42302 'stance' 6\n42303 'starts' 6\n42304 'states' 6\n42305 'static' 6\n42306 'status' 6\n42307 'stderr' 6\n42308 'stdlib' 6\n42309 'stdout' 6\n42310 'sticky' 6\n42311 'stones' 6\n42312 'stored' 6\n42313 'stores' 6\n42314 'stract' 6\n42315 'strain' 6\n42316 'strand' 6\n42317 'strate' 6\n42318 'stream' 6\n42319 'street' 6\n42320 'stress' 6\n42321 'strict' 6\n42322 'stride' 6\n42323 'strike' 6\n42324 'string' 6\n42325 'stripe' 6\n42326 'stroke' 6\n42327 'strong' 6\n42328 'struct' 6\n42329 'ström' 6\n42330 'studio' 6\n42331 'styles' 6\n42332 'ständ' 6\n42333 'submit' 6\n42334 'subnet' 6\n42335 'subset' 6\n42336 'substr' 6\n42337 'suffix' 6\n42338 'summer' 6\n42339 'switch' 6\n42340 'sworth' 6\n42341 'symbol' 6\n42342 'syntax' 6\n42343 'system' 6\n42344 'tables' 6\n42345 'tagged' 6\n42346 'taient' 6\n42347 'taking' 6\n42348 'target' 6\n42349 'teenth' 6\n42350 'tenant' 6\n42351 'teness' 6\n42352 'tensor' 6\n42353 'tering' 6\n42354 'terior' 6\n42355 'termin' 6\n42356 'ternal' 6\n42357 'terror' 6\n42358 'tested' 6\n42359 'textbf' 6\n42360 'textit' 6\n42361 'textrm' 6\n42362 'thanks' 6\n42363 'themes' 6\n42364 'theory' 6\n42365 'things' 6\n42366 'thirds' 6\n42367 'though' 6\n42368 'thouse' 6\n42369 'thread' 6\n42370 'threat' 6\n42371 'thresh' 6\n42372 'throws' 6\n42373 'ticker' 6\n42374 'ticket' 6\n42375 'timing' 6\n42376 'titles' 6\n42377 'toggle' 6\n42378 'tokens' 6\n42379 'tolist' 6\n42380 'topics' 6\n42381 'tracks' 6\n42382 'traits' 6\n42383 'transl' 6\n42384 'travel' 6\n42385 'triple' 6\n42386 'tréal' 6\n42387 'tuples' 6\n42388 'turned' 6\n42389 'turtle' 6\n42390 'typeof' 6\n42391 'typing' 6\n42392 'uality' 6\n42393 'uating' 6\n42394 'uation' 6\n42395 'ubbles' 6\n42396 'ubuntu' 6\n42397 'uccess' 6\n42398 'ución' 6\n42399 'ucking' 6\n42400 'uclear' 6\n42401 'uclide' 6\n42402 'uction' 6\n42403 'uddled' 6\n42404 'uesday' 6\n42405 'uffled' 6\n42406 'uggest' 6\n42407 'ugging' 6\n42408 'ughter' 6\n42409 'uguês' 6\n42410 'uitive' 6\n42411 'ulaire' 6\n42412 'ulated' 6\n42413 'ulates' 6\n42414 'ulator' 6\n42415 'ulence' 6\n42416 'ulsion' 6\n42417 'ulsive' 6\n42418 'ulture' 6\n42419 'umably' 6\n42420 'umatic' 6\n42421 'umbent' 6\n42422 'umbers' 6\n42423 'umbing' 6\n42424 'umbled' 6\n42425 'umbles' 6\n42426 'uments' 6\n42427 'umeric' 6\n42428 'umping' 6\n42429 'unched' 6\n42430 'unders' 6\n42431 'undred' 6\n42432 'unicip' 6\n42433 'unicí' 6\n42434 'unique' 6\n42435 'unless' 6\n42436 'unlink' 6\n42437 'unlock' 6\n42438 'unning' 6\n42439 'unpack' 6\n42440 'unsafe' 6\n42441 'untary' 6\n42442 'untime' 6\n42443 'unting' 6\n42444 'unused' 6\n42445 'unwrap' 6\n42446 'uously' 6\n42447 'update' 6\n42448 'upiter' 6\n42449 'upload' 6\n42450 'upport' 6\n42451 'urable' 6\n42452 'urally' 6\n42453 'urance' 6\n42454 'urches' 6\n42455 'urface' 6\n42456 'urious' 6\n42457 'urname' 6\n42458 'urrent' 6\n42459 'urring' 6\n42460 'ursday' 6\n42461 'ursion' 6\n42462 'ursive' 6\n42463 'urther' 6\n42464 'urtles' 6\n42465 'usable' 6\n42466 'usalem' 6\n42467 'userId' 6\n42468 'userid' 6\n42469 'ushima' 6\n42470 'ushing' 6\n42471 'usions' 6\n42472 'ussels' 6\n42473 'ussian' 6\n42474 'ussion' 6\n42475 'ustain' 6\n42476 'usters' 6\n42477 'utable' 6\n42478 'utdown' 6\n42479 'utions' 6\n42480 'ução' 6\n42481 'valued' 6\n42482 'values' 6\n42483 'varphi' 6\n42484 'vasion' 6\n42485 'vasive' 6\n42486 'vation' 6\n42487 'vature' 6\n42488 'vector' 6\n42489 'velope' 6\n42490 'vement' 6\n42491 'vendor' 6\n42492 'venile' 6\n42493 'venues' 6\n42494 'verage' 6\n42495 'verify' 6\n42496 'versal' 6\n42497 'versed' 6\n42498 'verted' 6\n42499 'verter' 6\n42500 'vertex' 6\n42501 'vertis' 6\n42502 'vester' 6\n42503 'vetica' 6\n42504 'videos' 6\n42505 'viewer' 6\n42506 'vision' 6\n42507 'visory' 6\n42508 'visual' 6\n42509 'volume' 6\n42510 'walker' 6\n42511 'wanted' 6\n42512 'waters' 6\n42513 'waukee' 6\n42514 'wealth' 6\n42515 'weapon' 6\n42516 'webkit' 6\n42517 'weekly' 6\n42518 'wegian' 6\n42519 'weight' 6\n42520 'widget' 6\n42521 'window' 6\n42522 'winner' 6\n42523 'winter' 6\n42524 'within' 6\n42525 'wizard' 6\n42526 'worked' 6\n42527 'worker' 6\n42528 'worthy' 6\n42529 'wright' 6\n42530 'writer' 6\n42531 'xlabel' 6\n42532 'yellow' 6\n42533 'ylabel' 6\n42534 'ynamic' 6\n42535 'yscale' 6\n42536 'ystems' 6\n42537 'zález' 6\n42538 '\\xa0\\xa0\\xa0' 6\n42539 'ábado' 6\n42540 'áció' 6\n42541 'áfico' 6\n42542 'ágina' 6\n42543 'álido' 6\n42544 'ální' 6\n42545 'ámara' 6\n42546 'ández' 6\n42547 'ánico' 6\n42548 'árias' 6\n42549 'ários' 6\n42550 'ática' 6\n42551 'ático' 6\n42552 'áveis' 6\n42553 'âmara' 6\n42554 'ância' 6\n42555 'âteau' 6\n42556 'ächen' 6\n42557 'ächst' 6\n42558 'ählen' 6\n42559 'ähler' 6\n42560 'ällor' 6\n42561 'änder' 6\n42562 'ängen' 6\n42563 'änger' 6\n42564 'änner' 6\n42565 'äsent' 6\n42566 'ätten' 6\n42567 'ätter' 6\n42568 'äufig' 6\n42569 'çaise' 6\n42570 'ções' 6\n42571 'ència' 6\n42572 'èrent' 6\n42573 'ètres' 6\n42574 'écial' 6\n42575 'écile' 6\n42576 'éfono' 6\n42577 'ément' 6\n42578 'ények' 6\n42579 'érale' 6\n42580 'érica' 6\n42581 'éroï' 6\n42582 'érêt' 6\n42583 'étais' 6\n42584 'était' 6\n42585 'ética' 6\n42586 'ético' 6\n42587 'étés' 6\n42588 'ência' 6\n42589 'íamos' 6\n42590 'ícios' 6\n42591 'ícula' 6\n42592 'ículo' 6\n42593 'ített' 6\n42594 'ítica' 6\n42595 'ítima' 6\n42596 'ított' 6\n42597 'ítulo' 6\n42598 'ítás' 6\n42599 'íveis' 6\n42600 'ódigo' 6\n42601 'ónica' 6\n42602 'ónico' 6\n42603 'órico' 6\n42604 'órios' 6\n42605 'ósito' 6\n42606 'ölker' 6\n42607 'örper' 6\n42608 'úblic' 6\n42609 'úmero' 6\n42610 'útbol' 6\n42611 'ücken' 6\n42612 'ühren' 6\n42613 'üller' 6\n42614 'ülés' 6\n42615 'ürgen' 6\n42616 'üssel' 6\n42617 'üssen' 6\n42618 'ının' 6\n42619 'łącz' 6\n42620 'ńskim' 6\n42621 'œuvre' 6\n42622 'ương' 6\n42623 'ước' 6\n42624 'ười' 6\n42625 'ược' 6\n42626 'ται' 6\n42627 'τικ' 6\n42628 'РСР' 6\n42629 'ССР' 6\n42630 'аем' 6\n42631 'ает' 6\n42632 'ала' 6\n42633 'али' 6\n42634 'аль' 6\n42635 'ами' 6\n42636 'ана' 6\n42637 'анг' 6\n42638 'анд' 6\n42639 'ане' 6\n42640 'ани' 6\n42641 'ану' 6\n42642 'ані' 6\n42643 'асс' 6\n42644 'аст' 6\n42645 'ата' 6\n42646 'ать' 6\n42647 'бай' 6\n42648 'бан' 6\n42649 'бар' 6\n42650 'бен' 6\n42651 'бер' 6\n42652 'бин' 6\n42653 'бка' 6\n42654 'бле' 6\n42655 'бли' 6\n42656 'блі' 6\n42657 'бов' 6\n42658 'бой' 6\n42659 'бом' 6\n42660 'бор' 6\n42661 'бот' 6\n42662 'бра' 6\n42663 'бре' 6\n42664 'бри' 6\n42665 'бро' 6\n42666 'бря' 6\n42667 'бур' 6\n42668 'бір' 6\n42669 'вав' 6\n42670 'вал' 6\n42671 'ван' 6\n42672 'вар' 6\n42673 'ват' 6\n42674 'вая' 6\n42675 'вед' 6\n42676 'вез' 6\n42677 'вей' 6\n42678 'вен' 6\n42679 'вер' 6\n42680 'вет' 6\n42681 'виа' 6\n42682 'вид' 6\n42683 'вин' 6\n42684 'вич' 6\n42685 'вля' 6\n42686 'вня' 6\n42687 'вод' 6\n42688 'вое' 6\n42689 'вой' 6\n42690 'вом' 6\n42691 'вор' 6\n42692 'вра' 6\n42693 'ври' 6\n42694 'вро' 6\n42695 'вся' 6\n42696 'вши' 6\n42697 'вър' 6\n42698 'вые' 6\n42699 'вый' 6\n42700 'від' 6\n42701 'віт' 6\n42702 'ган' 6\n42703 'гар' 6\n42704 'гда' 6\n42705 'ген' 6\n42706 'гер' 6\n42707 'гии' 6\n42708 'гла' 6\n42709 'гле' 6\n42710 'гли' 6\n42711 'гля' 6\n42712 'гне' 6\n42713 'гов' 6\n42714 'гом' 6\n42715 'гор' 6\n42716 'гра' 6\n42717 'гре' 6\n42718 'гро' 6\n42719 'дав' 6\n42720 'дал' 6\n42721 'дан' 6\n42722 'дар' 6\n42723 'дат' 6\n42724 'дах' 6\n42725 'дви' 6\n42726 'дей' 6\n42727 'дел' 6\n42728 'ден' 6\n42729 'дер' 6\n42730 'джа' 6\n42731 'дже' 6\n42732 'джи' 6\n42733 'дии' 6\n42734 'дий' 6\n42735 'дин' 6\n42736 'дия' 6\n42737 'дна' 6\n42738 'дно' 6\n42739 'дня' 6\n42740 'дні' 6\n42741 'дов' 6\n42742 'дой' 6\n42743 'док' 6\n42744 'дол' 6\n42745 'дом' 6\n42746 'дон' 6\n42747 'дор' 6\n42748 'дра' 6\n42749 'дри' 6\n42750 'дро' 6\n42751 'дян' 6\n42752 'дён' 6\n42753 'дів' 6\n42754 'дій' 6\n42755 'дія' 6\n42756 'дії' 6\n42757 'ева' 6\n42758 'его' 6\n42759 'еде' 6\n42760 'еди' 6\n42761 'екс' 6\n42762 'ект' 6\n42763 'ели' 6\n42764 'ель' 6\n42765 'еля' 6\n42766 'ена' 6\n42767 'ене' 6\n42768 'ени' 6\n42769 'ент' 6\n42770 'ень' 6\n42771 'ера' 6\n42772 'ере' 6\n42773 'еру' 6\n42774 'ест' 6\n42775 'ета' 6\n42776 'ете' 6\n42777 'ето' 6\n42778 'жан' 6\n42779 'жда' 6\n42780 'жде' 6\n42781 'жду' 6\n42782 'жды' 6\n42783 'жен' 6\n42784 'жет' 6\n42785 'жил' 6\n42786 'жно' 6\n42787 'жён' 6\n42788 'зан' 6\n42789 'зар' 6\n42790 'зах' 6\n42791 'зва' 6\n42792 'зви' 6\n42793 'зво' 6\n42794 'зда' 6\n42795 'зей' 6\n42796 'зем' 6\n42797 'зен' 6\n42798 'зер' 6\n42799 'зии' 6\n42800 'зик' 6\n42801 'зин' 6\n42802 'зма' 6\n42803 'зна' 6\n42804 'зне' 6\n42805 'зни' 6\n42806 'зня' 6\n42807 'зов' 6\n42808 'зом' 6\n42809 'зяй' 6\n42810 'ина' 6\n42811 'ист' 6\n42812 'ите' 6\n42813 'ить' 6\n42814 'каз' 6\n42815 'кал' 6\n42816 'кам' 6\n42817 'кан' 6\n42818 'кар' 6\n42819 'ках' 6\n42820 'кая' 6\n42821 'ква' 6\n42822 'кви' 6\n42823 'кер' 6\n42824 'кет' 6\n42825 'кие' 6\n42826 'кий' 6\n42827 'ким' 6\n42828 'кин' 6\n42829 'ких' 6\n42830 'кла' 6\n42831 'кли' 6\n42832 'кло' 6\n42833 'клю' 6\n42834 'ков' 6\n42835 'кой' 6\n42836 'кол' 6\n42837 'ком' 6\n42838 'кон' 6\n42839 'кор' 6\n42840 'кою' 6\n42841 'кої' 6\n42842 'кра' 6\n42843 'кре' 6\n42844 'кри' 6\n42845 'кро' 6\n42846 'кры' 6\n42847 'кси' 6\n42848 'кта' 6\n42849 'кти' 6\n42850 'кто' 6\n42851 'куп' 6\n42852 'кур' 6\n42853 'ків' 6\n42854 'кін' 6\n42855 'лав' 6\n42856 'лад' 6\n42857 'лан' 6\n42858 'лат' 6\n42859 'лев' 6\n42860 'лед' 6\n42861 'лее' 6\n42862 'лез' 6\n42863 'лей' 6\n42864 'лек' 6\n42865 'лем' 6\n42866 'лен' 6\n42867 'лер' 6\n42868 'лет' 6\n42869 'лии' 6\n42870 'лий' 6\n42871 'лим' 6\n42872 'лин' 6\n42873 'лия' 6\n42874 'лка' 6\n42875 'лки' 6\n42876 'лла' 6\n42877 'лле' 6\n42878 'лли' 6\n42879 'лов' 6\n42880 'лог' 6\n42881 'лож' 6\n42882 'лок' 6\n42883 'лом' 6\n42884 'лон' 6\n42885 'лос' 6\n42886 'лся' 6\n42887 'лта' 6\n42888 'льт' 6\n42889 'лья' 6\n42890 'люч' 6\n42891 'лян' 6\n42892 'ляр' 6\n42893 'лях' 6\n42894 'лён' 6\n42895 'лів' 6\n42896 'лій' 6\n42897 'лін' 6\n42898 'лії' 6\n42899 'май' 6\n42900 'ман' 6\n42901 'мар' 6\n42902 'мат' 6\n42903 'мах' 6\n42904 'мей' 6\n42905 'мен' 6\n42906 'мер' 6\n42907 'мет' 6\n42908 'мец' 6\n42909 'мии' 6\n42910 'мин' 6\n42911 'мир' 6\n42912 'мия' 6\n42913 'мов' 6\n42914 'мож' 6\n42915 'мой' 6\n42916 'мом' 6\n42917 'мон' 6\n42918 'мор' 6\n42919 'мот' 6\n42920 'мін' 6\n42921 'мії' 6\n42922 'над' 6\n42923 'нал' 6\n42924 'нан' 6\n42925 'нар' 6\n42926 'нат' 6\n42927 'нах' 6\n42928 'нач' 6\n42929 'ная' 6\n42930 'нва' 6\n42931 'нев' 6\n42932 'нее' 6\n42933 'ней' 6\n42934 'нем' 6\n42935 'нен' 6\n42936 'нер' 6\n42937 'нет' 6\n42938 'нец' 6\n42939 'ние' 6\n42940 'нии' 6\n42941 'ний' 6\n42942 'ник' 6\n42943 'ним' 6\n42944 'нин' 6\n42945 'них' 6\n42946 'ниц' 6\n42947 'ниш' 6\n42948 'нию' 6\n42949 'ния' 6\n42950 'ння' 6\n42951 'нов' 6\n42952 'ног' 6\n42953 'ное' 6\n42954 'ной' 6\n42955 'нок' 6\n42956 'ном' 6\n42957 'нос' 6\n42958 'ною' 6\n42959 'ної' 6\n42960 'ној' 6\n42961 'нут' 6\n42962 'ную' 6\n42963 'нци' 6\n42964 'ные' 6\n42965 'ный' 6\n42966 'ным' 6\n42967 'ных' 6\n42968 'ньо' 6\n42969 'няя' 6\n42970 'нів' 6\n42971 'ній' 6\n42972 'нім' 6\n42973 'нії' 6\n42974 'общ' 6\n42975 'обы' 6\n42976 'ова' 6\n42977 'ове' 6\n42978 'ови' 6\n42979 'ово' 6\n42980 'оги' 6\n42981 'ого' 6\n42982 'ода' 6\n42983 'оди' 6\n42984 'озв' 6\n42985 'озд' 6\n42986 'ока' 6\n42987 'олж' 6\n42988 'оли' 6\n42989 'оло' 6\n42990 'оль' 6\n42991 'ому' 6\n42992 'она' 6\n42993 'оне' 6\n42994 'они' 6\n42995 'ону' 6\n42996 'оні' 6\n42997 'ори' 6\n42998 'орм' 6\n42999 'оро' 6\n43000 'ору' 6\n43001 'ост' 6\n43002 'оте' 6\n43003 'оти' 6\n43004 'ото' 6\n43005 'пад' 6\n43006 'пан' 6\n43007 'пар' 6\n43008 'пас' 6\n43009 'пей' 6\n43010 'пен' 6\n43011 'пер' 6\n43012 'пет' 6\n43013 'пис' 6\n43014 'пла' 6\n43015 'пли' 6\n43016 'пло' 6\n43017 'пня' 6\n43018 'пов' 6\n43019 'пол' 6\n43020 'пон' 6\n43021 'пор' 6\n43022 'пра' 6\n43023 'пре' 6\n43024 'при' 6\n43025 'про' 6\n43026 'раб' 6\n43027 'рав' 6\n43028 'раж' 6\n43029 'раз' 6\n43030 'рак' 6\n43031 'рал' 6\n43032 'рам' 6\n43033 'ран' 6\n43034 'рат' 6\n43035 'рах' 6\n43036 'ращ' 6\n43037 'рая' 6\n43038 'рев' 6\n43039 'ред' 6\n43040 'рез' 6\n43041 'рей' 6\n43042 'рем' 6\n43043 'рен' 6\n43044 'рес' 6\n43045 'рии' 6\n43046 'рий' 6\n43047 'рин' 6\n43048 'рис' 6\n43049 'рит' 6\n43050 'рия' 6\n43051 'роб' 6\n43052 'ров' 6\n43053 'род' 6\n43054 'рое' 6\n43055 'рож' 6\n43056 'роз' 6\n43057 'рои' 6\n43058 'рой' 6\n43059 'рок' 6\n43060 'ром' 6\n43061 'рон' 6\n43062 'рос' 6\n43063 'руг' 6\n43064 'руд' 6\n43065 'рук' 6\n43066 'руп' 6\n43067 'рус' 6\n43068 'ряд' 6\n43069 'рёх' 6\n43070 'рів' 6\n43071 'рій' 6\n43072 'сад' 6\n43073 'сан' 6\n43074 'сей' 6\n43075 'сен' 6\n43076 'сер' 6\n43077 'сии' 6\n43078 'сия' 6\n43079 'ска' 6\n43080 'ске' 6\n43081 'ски' 6\n43082 'ско' 6\n43083 'ску' 6\n43084 'сла' 6\n43085 'сле' 6\n43086 'сли' 6\n43087 'сло' 6\n43088 'слу' 6\n43089 'слі' 6\n43090 'смо' 6\n43091 'сни' 6\n43092 'сно' 6\n43093 'сну' 6\n43094 'сня' 6\n43095 'соб' 6\n43096 'сов' 6\n43097 'сок' 6\n43098 'сом' 6\n43099 'сон' 6\n43100 'сор' 6\n43101 'спе' 6\n43102 'спо' 6\n43103 'сса' 6\n43104 'ссе' 6\n43105 'сси' 6\n43106 'ста' 6\n43107 'ств' 6\n43108 'сте' 6\n43109 'сти' 6\n43110 'сто' 6\n43111 'стр' 6\n43112 'сту' 6\n43113 'сты' 6\n43114 'сть' 6\n43115 'стю' 6\n43116 'стя' 6\n43117 'сті' 6\n43118 'сут' 6\n43119 'ськ' 6\n43120 'тай' 6\n43121 'так' 6\n43122 'тал' 6\n43123 'там' 6\n43124 'тан' 6\n43125 'тар' 6\n43126 'тах' 6\n43127 'тая' 6\n43128 'тва' 6\n43129 'тво' 6\n43130 'тей' 6\n43131 'тек' 6\n43132 'тел' 6\n43133 'тем' 6\n43134 'тен' 6\n43135 'тер' 6\n43136 'тет' 6\n43137 'тех' 6\n43138 'тив' 6\n43139 'тие' 6\n43140 'тии' 6\n43141 'тий' 6\n43142 'тик' 6\n43143 'тил' 6\n43144 'тин' 6\n43145 'тия' 6\n43146 'тка' 6\n43147 'тки' 6\n43148 'тку' 6\n43149 'тно' 6\n43150 'тов' 6\n43151 'той' 6\n43152 'ток' 6\n43153 'том' 6\n43154 'тон' 6\n43155 'тор' 6\n43156 'тра' 6\n43157 'тре' 6\n43158 'три' 6\n43159 'тро' 6\n43160 'тря' 6\n43161 'тся' 6\n43162 'ття' 6\n43163 'туа' 6\n43164 'тур' 6\n43165 'тый' 6\n43166 'тів' 6\n43167 'удо' 6\n43168 'унк' 6\n43169 'уст' 6\n43170 'фек' 6\n43171 'фер' 6\n43172 'фор' 6\n43173 'фри' 6\n43174 'хан' 6\n43175 'хар' 6\n43176 'хва' 6\n43177 'хов' 6\n43178 'ход' 6\n43179 'хом' 6\n43180 'хра' 6\n43181 'хів' 6\n43182 'хід' 6\n43183 'цев' 6\n43184 'цем' 6\n43185 'цен' 6\n43186 'цер' 6\n43187 'ции' 6\n43188 'ций' 6\n43189 'цин' 6\n43190 'цию' 6\n43191 'ция' 6\n43192 'цов' 6\n43193 'ців' 6\n43194 'цій' 6\n43195 'цію' 6\n43196 'ція' 6\n43197 'ції' 6\n43198 'чай' 6\n43199 'чан' 6\n43200 'час' 6\n43201 'чей' 6\n43202 'чен' 6\n43203 'чер' 6\n43204 'чес' 6\n43205 'чив' 6\n43206 'чий' 6\n43207 'чик' 6\n43208 'чил' 6\n43209 'чин' 6\n43210 'чка' 6\n43211 'чке' 6\n43212 'чки' 6\n43213 'чко' 6\n43214 'чна' 6\n43215 'чне' 6\n43216 'чни' 6\n43217 'чно' 6\n43218 'чня' 6\n43219 'чні' 6\n43220 'чёт' 6\n43221 'шая' 6\n43222 'шее' 6\n43223 'шей' 6\n43224 'шен' 6\n43225 'шиб' 6\n43226 'шие' 6\n43227 'ший' 6\n43228 'шим' 6\n43229 'шин' 6\n43230 'ших' 6\n43231 'шка' 6\n43232 'шки' 6\n43233 'шко' 6\n43234 'шла' 6\n43235 'шли' 6\n43236 'шло' 6\n43237 'шов' 6\n43238 'шой' 6\n43239 'шта' 6\n43240 'ште' 6\n43241 'шти' 6\n43242 'шёл' 6\n43243 'шње' 6\n43244 'щая' 6\n43245 'щее' 6\n43246 'щен' 6\n43247 'щий' 6\n43248 'щих' 6\n43249 'юза' 6\n43250 'ють' 6\n43251 'ючи' 6\n43252 'юще' 6\n43253 'ющи' 6\n43254 'яви' 6\n43255 'ями' 6\n43256 'ять' 6\n43257 'іль' 6\n43258 'ركة' 6\n43259 'ार' 6\n43260 'ें' 6\n43261 '्र' 6\n43262 'ระ' 6\n43263 'อง' 6\n43264 'าง' 6\n43265 'าร' 6\n43266 'ี่' 6\n43267 'ื่' 6\n43268 'ไม' 6\n43269 '้า' 6\n43270 'ებ' 6\n43271 '\\u200b\\u200b' 6\n43272 '––' 6\n43273 '—and' 6\n43274 '—the' 6\n43275 '——' 6\n43276 '’est' 6\n43277 '’’' 6\n43278 '“The' 6\n43279 '”—' 6\n43280 '••' 6\n43281 '…”' 6\n43282 '……' 6\n43283 '′′' 6\n43284 '€™' 6\n43285 '──' 6\n43286 '━━' 6\n43287 '┈┈' 6\n43288 '══' 6\n43289 '═╝' 6\n43290 '▄▄' 6\n43291 '██' 6\n43292 '░░' 6\n43293 '▒▒' 6\n43294 '■■' 6\n43295 '◼️' 6\n43296 '★★' 6\n43297 '⠀⠀' 6\n43298 '⣿⣿' 6\n43299 '\\u3000\\u3000' 6\n43300 '、、' 6\n43301 '。。' 6\n43302 '」「' 6\n43303 '】【' 6\n43304 'あっ' 6\n43305 'あり' 6\n43306 'ある' 6\n43307 'いい' 6\n43308 'いう' 6\n43309 'いか' 6\n43310 'いた' 6\n43311 'いて' 6\n43312 'いで' 6\n43313 'いと' 6\n43314 'いな' 6\n43315 'いの' 6\n43316 'いま' 6\n43317 'いる' 6\n43318 'うか' 6\n43319 'うこ' 6\n43320 'うと' 6\n43321 'うな' 6\n43322 'うに' 6\n43323 'えて' 6\n43324 'える' 6\n43325 'おり' 6\n43326 'かっ' 6\n43327 'かな' 6\n43328 'から' 6\n43329 'があ' 6\n43330 'がで' 6\n43331 'きた' 6\n43332 'きな' 6\n43333 'きま' 6\n43334 'きる' 6\n43335 'くだ' 6\n43336 'くな' 6\n43337 'けて' 6\n43338 'ける' 6\n43339 'こと' 6\n43340 'この' 6\n43341 'これ' 6\n43342 'さい' 6\n43343 'され' 6\n43344 'さん' 6\n43345 'しい' 6\n43346 'しか' 6\n43347 'した' 6\n43348 'して' 6\n43349 'しま' 6\n43350 'しょ' 6\n43351 'すが' 6\n43352 'する' 6\n43353 'せん' 6\n43354 'そう' 6\n43355 'その' 6\n43356 'それ' 6\n43357 'たい' 6\n43358 'たが' 6\n43359 'たこ' 6\n43360 'ただ' 6\n43361 'たと' 6\n43362 'たの' 6\n43363 'ため' 6\n43364 'たら' 6\n43365 'たり' 6\n43366 'だけ' 6\n43367 'ださ' 6\n43368 'だっ' 6\n43369 'った' 6\n43370 'って' 6\n43371 'つい' 6\n43372 'てい' 6\n43373 'てお' 6\n43374 'てき' 6\n43375 'てく' 6\n43376 'てし' 6\n43377 'ては' 6\n43378 'ても' 6\n43379 'であ' 6\n43380 'でき' 6\n43381 'でし' 6\n43382 'です' 6\n43383 'での' 6\n43384 'では' 6\n43385 'でも' 6\n43386 'とい' 6\n43387 'とが' 6\n43388 'とし' 6\n43389 'とで' 6\n43390 'とな' 6\n43391 'とに' 6\n43392 'との' 6\n43393 'とは' 6\n43394 'とも' 6\n43395 'とを' 6\n43396 'どの' 6\n43397 'ない' 6\n43398 'なか' 6\n43399 'なく' 6\n43400 'なっ' 6\n43401 'など' 6\n43402 'なの' 6\n43403 'なら' 6\n43404 'なり' 6\n43405 'なる' 6\n43406 'にあ' 6\n43407 'にお' 6\n43408 'にし' 6\n43409 'につ' 6\n43410 'にな' 6\n43411 'には' 6\n43412 'にも' 6\n43413 'によ' 6\n43414 'のか' 6\n43415 'のが' 6\n43416 'ので' 6\n43417 'のは' 6\n43418 'のよ' 6\n43419 'はな' 6\n43420 'まし' 6\n43421 'ます' 6\n43422 'ませ' 6\n43423 'また' 6\n43424 'まで' 6\n43425 'めて' 6\n43426 'もあ' 6\n43427 'もの' 6\n43428 'ょう' 6\n43429 'よう' 6\n43430 'よっ' 6\n43431 'より' 6\n43432 'よる' 6\n43433 'らな' 6\n43434 'らの' 6\n43435 'られ' 6\n43436 'りま' 6\n43437 'るが' 6\n43438 'るこ' 6\n43439 'るた' 6\n43440 'ると' 6\n43441 'るの' 6\n43442 'るよ' 6\n43443 'れた' 6\n43444 'れて' 6\n43445 'れば' 6\n43446 'れま' 6\n43447 'れる' 6\n43448 'われ' 6\n43449 'をし' 6\n43450 'んで' 6\n43451 'んな' 6\n43452 'アメ' 6\n43453 'アル' 6\n43454 'アン' 6\n43455 'アー' 6\n43456 'ィー' 6\n43457 'イト' 6\n43458 'イン' 6\n43459 'オー' 6\n43460 'カー' 6\n43461 'キャ' 6\n43462 'クス' 6\n43463 'クラ' 6\n43464 'グラ' 6\n43465 'グル' 6\n43466 'コン' 6\n43467 'コー' 6\n43468 'サイ' 6\n43469 'サー' 6\n43470 'シャ' 6\n43471 'シュ' 6\n43472 'ショ' 6\n43473 'シン' 6\n43474 'シー' 6\n43475 'ジャ' 6\n43476 'ジョ' 6\n43477 'スの' 6\n43478 'スタ' 6\n43479 'ステ' 6\n43480 'スト' 6\n43481 'タイ' 6\n43482 'ター' 6\n43483 'チャ' 6\n43484 'ック' 6\n43485 'ット' 6\n43486 'ップ' 6\n43487 'ティ' 6\n43488 'テレ' 6\n43489 'ディ' 6\n43490 'トラ' 6\n43491 'ドラ' 6\n43492 'バー' 6\n43493 'パー' 6\n43494 'ファ' 6\n43495 'フィ' 6\n43496 'フォ' 6\n43497 'プロ' 6\n43498 'マン' 6\n43499 'メリ' 6\n43500 'メン' 6\n43501 'ャン' 6\n43502 'ャー' 6\n43503 'ュー' 6\n43504 'ョン' 6\n43505 'ライ' 6\n43506 'ラン' 6\n43507 'ラー' 6\n43508 'リア' 6\n43509 'リカ' 6\n43510 'リス' 6\n43511 'リン' 6\n43512 'リー' 6\n43513 'ルー' 6\n43514 'レビ' 6\n43515 'レー' 6\n43516 'ロー' 6\n43517 'ンの' 6\n43518 'ンク' 6\n43519 'ング' 6\n43520 'ンス' 6\n43521 'ンタ' 6\n43522 'ント' 6\n43523 'ンド' 6\n43524 'ーの' 6\n43525 'ーク' 6\n43526 'ーシ' 6\n43527 'ージ' 6\n43528 'ース' 6\n43529 'ーズ' 6\n43530 'ータ' 6\n43531 'ート' 6\n43532 'ード' 6\n43533 'ープ' 6\n43534 'ーム' 6\n43535 'ール' 6\n43536 'ーン' 6\n43537 '가능' 6\n43538 '가장' 6\n43539 '가지' 6\n43540 '각주' 6\n43541 '감독' 6\n43542 '강원' 6\n43543 '강추' 6\n43544 '같은' 6\n43545 '같이' 6\n43546 '개의' 6\n43547 '개인' 6\n43548 '거나' 6\n43549 '건마' 6\n43550 '것으' 6\n43551 '것은' 6\n43552 '것을' 6\n43553 '것이' 6\n43554 '것입' 6\n43555 '게임' 6\n43556 '경기' 6\n43557 '경남' 6\n43558 '경북' 6\n43559 '경우' 6\n43560 '계약' 6\n43561 '고객' 6\n43562 '관계' 6\n43563 '관련' 6\n43564 '관리' 6\n43565 '교육' 6\n43566 '국가' 6\n43567 '국에' 6\n43568 '국의' 6\n43569 '국제' 6\n43570 '그는' 6\n43571 '그러' 6\n43572 '그런' 6\n43573 '그리' 6\n43574 '그의' 6\n43575 '기간' 6\n43576 '기도' 6\n43577 '기록' 6\n43578 '기를' 6\n43579 '기술' 6\n43580 '기업' 6\n43581 '기에' 6\n43582 '까지' 6\n43583 '나는' 6\n43584 '나라' 6\n43585 '내용' 6\n43586 '년에' 6\n43587 '는다' 6\n43588 '는데' 6\n43589 '니다' 6\n43590 '다가' 6\n43591 '다고' 6\n43592 '다는' 6\n43593 '다른' 6\n43594 '다면' 6\n43595 '다시' 6\n43596 '다음' 6\n43597 '당시' 6\n43598 '대구' 6\n43599 '대로' 6\n43600 '대표' 6\n43601 '대학' 6\n43602 '대한' 6\n43603 '대해' 6\n43604 '대회' 6\n43605 '덤프' 6\n43606 '데이' 6\n43607 '도로' 6\n43608 '도록' 6\n43609 '도시' 6\n43610 '독일' 6\n43611 '동안' 6\n43612 '동의' 6\n43613 '되고' 6\n43614 '되는' 6\n43615 '되어' 6\n43616 '되었' 6\n43617 '된다' 6\n43618 '됩니' 6\n43619 '두리' 6\n43620 '드라' 6\n43621 '들어' 6\n43622 '들에' 6\n43623 '들은' 6\n43624 '들을' 6\n43625 '들의' 6\n43626 '들이' 6\n43627 '등을' 6\n43628 '등학' 6\n43629 '디시' 6\n43630 '디오' 6\n43631 '따라' 6\n43632 '때문' 6\n43633 '또는' 6\n43634 '또한' 6\n43635 '라고' 6\n43636 '라는' 6\n43637 '라마' 6\n43638 '라이' 6\n43639 '라인' 6\n43640 '라피' 6\n43641 '랑스' 6\n43642 '랜드' 6\n43643 '러나' 6\n43644 '레이' 6\n43645 '로그' 6\n43646 '로나' 6\n43647 '로는' 6\n43648 '로마' 6\n43649 '로미' 6\n43650 '로부' 6\n43651 '로서' 6\n43652 '리가' 6\n43653 '리고' 6\n43654 '리그' 6\n43655 '리는' 6\n43656 '리를' 6\n43657 '리뷰' 6\n43658 '리스' 6\n43659 '리아' 6\n43660 '리에' 6\n43661 '리코' 6\n43662 '링크' 6\n43663 '마사' 6\n43664 '마테' 6\n43665 '만들' 6\n43666 '많은' 6\n43667 '메이' 6\n43668 '면서' 6\n43669 '명의' 6\n43670 '모두' 6\n43671 '모든' 6\n43672 '문에' 6\n43673 '문제' 6\n43674 '문화' 6\n43675 '미국' 6\n43676 '미로' 6\n43677 '민국' 6\n43678 '민주' 6\n43679 '받았' 6\n43680 '방법' 6\n43681 '방송' 6\n43682 '배우' 6\n43683 '번째' 6\n43684 '번호' 6\n43685 '보고' 6\n43686 '보다' 6\n43687 '보를' 6\n43688 '보호' 6\n43689 '부분' 6\n43690 '부산' 6\n43691 '부터' 6\n43692 '비스' 6\n43693 '사건' 6\n43694 '사는' 6\n43695 '사람' 6\n43696 '사망' 6\n43697 '사업' 6\n43698 '사용' 6\n43699 '사이' 6\n43700 '사지' 6\n43701 '사회' 6\n43702 '상품' 6\n43703 '생각' 6\n43704 '서는' 6\n43705 '서비' 6\n43706 '서울' 6\n43707 '선수' 6\n43708 '성을' 6\n43709 '세계' 6\n43710 '세기' 6\n43711 '소개' 6\n43712 '수상' 6\n43713 '스는' 6\n43714 '스웨' 6\n43715 '스의' 6\n43716 '스타' 6\n43717 '스트' 6\n43718 '습니' 6\n43719 '시간' 6\n43720 '시대' 6\n43721 '시아' 6\n43722 '시에' 6\n43723 '시작' 6\n43724 '시장' 6\n43725 '시즌' 6\n43726 '시험' 6\n43727 '신의' 6\n43728 '아니' 6\n43729 '아들' 6\n43730 '아로' 6\n43731 '아요' 6\n43732 '아이' 6\n43733 '안마' 6\n43734 '았다' 6\n43735 '았습' 6\n43736 '약관' 6\n43737 '업소' 6\n43738 '없는' 6\n43739 '없이' 6\n43740 '었고' 6\n43741 '었다' 6\n43742 '었습' 6\n43743 '었으' 6\n43744 '에게' 6\n43745 '에는' 6\n43746 '에도' 6\n43747 '에서' 6\n43748 '여자' 6\n43749 '역사' 6\n43750 '연구' 6\n43751 '였고' 6\n43752 '였다' 6\n43753 '였으' 6\n43754 '영국' 6\n43755 '영화' 6\n43756 '왁싱' 6\n43757 '외부' 6\n43758 '용자' 6\n43759 '용하' 6\n43760 '우리' 6\n43761 '우승' 6\n43762 '우에' 6\n43763 '운동' 6\n43764 '웨디' 6\n43765 '위원' 6\n43766 '위한' 6\n43767 '위해' 6\n43768 '으나' 6\n43769 '으로' 6\n43770 '으며' 6\n43771 '은글' 6\n43772 '음악' 6\n43773 '의해' 6\n43774 '이나' 6\n43775 '이는' 6\n43776 '이다' 6\n43777 '이라' 6\n43778 '이러' 6\n43779 '이를' 6\n43780 '이름' 6\n43781 '이마' 6\n43782 '이며' 6\n43783 '이상' 6\n43784 '이션' 6\n43785 '이스' 6\n43786 '이야' 6\n43787 '이어' 6\n43788 '이었' 6\n43789 '이에' 6\n43790 '이용' 6\n43791 '이지' 6\n43792 '이트' 6\n43793 '이후' 6\n43794 '인샵' 6\n43795 '인정' 6\n43796 '인증' 6\n43797 '인천' 6\n43798 '일본' 6\n43799 '일부' 6\n43800 '일에' 6\n43801 '입니' 6\n43802 '있는' 6\n43803 '있다' 6\n43804 '있습' 6\n43805 '있어' 6\n43806 '있었' 6\n43807 '있으' 6\n43808 '자가' 6\n43809 '자는' 6\n43810 '자들' 6\n43811 '자료' 6\n43812 '자신' 6\n43813 '자의' 6\n43814 '작품' 6\n43815 '장마' 6\n43816 '장샵' 6\n43817 '적으' 6\n43818 '적인' 6\n43819 '전남' 6\n43820 '전에' 6\n43821 '전자' 6\n43822 '전쟁' 6\n43823 '전화' 6\n43824 '정보' 6\n43825 '정부' 6\n43826 '정치' 6\n43827 '제공' 6\n43828 '졌다' 6\n43829 '조선' 6\n43830 '좋아' 6\n43831 '좋은' 6\n43832 '주의' 6\n43833 '중국' 6\n43834 '지난' 6\n43835 '지노' 6\n43836 '지는' 6\n43837 '지를' 6\n43838 '지만' 6\n43839 '지역' 6\n43840 '지원' 6\n43841 '지하' 6\n43842 '처리' 6\n43843 '최신' 6\n43844 '추천' 6\n43845 '축구' 6\n43846 '출신' 6\n43847 '출장' 6\n43848 '충남' 6\n43849 '카지' 6\n43850 '케어' 6\n43851 '코로' 6\n43852 '코스' 6\n43853 '타이' 6\n43854 '테라' 6\n43855 '통해' 6\n43856 '특별' 6\n43857 '페이' 6\n43858 '포함' 6\n43859 '프랑' 6\n43860 '프로' 6\n43861 '프리' 6\n43862 '필요' 6\n43863 '하게' 6\n43864 '하고' 6\n43865 '하기' 6\n43866 '하나' 6\n43867 '하는' 6\n43868 '하다' 6\n43869 '하며' 6\n43870 '하면' 6\n43871 '하여' 6\n43872 '하였' 6\n43873 '하지' 6\n43874 '학교' 6\n43875 '한국' 6\n43876 '한다' 6\n43877 '한민' 6\n43878 '함께' 6\n43879 '합니' 6\n43880 '해서' 6\n43881 '해야' 6\n43882 '했고' 6\n43883 '했다' 6\n43884 '했습' 6\n43885 '했으' 6\n43886 '현재' 6\n43887 '홈케' 6\n43888 '홈타' 6\n43889 '확인' 6\n43890 '활동' 6\n43891 '회사' 6\n43892 '회원' 6\n43893 '회의' 6\n43894 '후기' 6\n43895 '！”' 6\n43896 '！」' 6\n43897 '！！' 6\n43898 '），' 6\n43899 '：“' 6\n43900 '？”' 6\n43901 '？」' 6\n43902 '��' 6\n43903 '\\t\\t\\t\\t\\t\\t\\t' 7\n43904 '\\n\\t\\t\\t\\t\\t\\t' 7\n43905 '\\n\\t\\t\\t   ' 7\n43906 '\\n\\t     ' 7\n43907 '\\n\\n\\n\\n\\n\\n\\n' 7\n43908 '\\n\\n     ' 7\n43909 '\\n      ' 7\n43910 '\\r\\n\\t\\t\\t\\t\\t' 7\n43911 '\\r\\n\\r\\n   ' 7\n43912 '\\r\\n     ' 7\n43913 ' \\n     ' 7\n43914 '       ' 7\n43915 ' ------' 7\n43916 ' ACCESS' 7\n43917 ' ACTION' 7\n43918 ' ASSERT' 7\n43919 ' AUTHOR' 7\n43920 ' Abbott' 7\n43921 ' Abrams' 7\n43922 ' Academ' 7\n43923 ' Accept' 7\n43924 ' Access' 7\n43925 ' Across' 7\n43926 ' Acting' 7\n43927 ' Action' 7\n43928 ' Active' 7\n43929 ' Actual' 7\n43930 ' Adding' 7\n43931 ' Adjust' 7\n43932 ' Adrian' 7\n43933 ' Advent' 7\n43934 ' Affero' 7\n43935 ' Afghan' 7\n43936 ' Africa' 7\n43937 ' Agency' 7\n43938 ' Agenda' 7\n43939 ' Agents' 7\n43940 ' Alaska' 7\n43941 ' Albany' 7\n43942 ' Albert' 7\n43943 ' Alexis' 7\n43944 ' Alfred' 7\n43945 ' Allied' 7\n43946 ' Allies' 7\n43947 ' Almost' 7\n43948 ' Alonso' 7\n43949 ' Altern' 7\n43950 ' Alumni' 7\n43951 ' Always' 7\n43952 ' Amanda' 7\n43953 ' Amazon' 7\n43954 ' Americ' 7\n43955 ' Amount' 7\n43956 ' Analog' 7\n43957 ' Anders' 7\n43958 ' Andrea' 7\n43959 ' Andrew' 7\n43960 ' André' 7\n43961 ' Angela' 7\n43962 ' Angels' 7\n43963 ' Animal' 7\n43964 ' Annual' 7\n43965 ' Answer' 7\n43966 ' Anyone' 7\n43967 ' Anyway' 7\n43968 ' Apache' 7\n43969 ' Apollo' 7\n43970 ' Appeal' 7\n43971 ' Append' 7\n43972 ' Après' 7\n43973 ' Arabia' 7\n43974 ' Arabic' 7\n43975 ' Archae' 7\n43976 ' Archer' 7\n43977 ' Archie' 7\n43978 ' Arctic' 7\n43979 ' Argent' 7\n43980 ' Arnold' 7\n43981 ' Around' 7\n43982 ' Arrays' 7\n43983 ' Arthur' 7\n43984 ' Artist' 7\n43985 ' Ashley' 7\n43986 ' Assert' 7\n43987 ' Assign' 7\n43988 ' Assist' 7\n43989 ' Associ' 7\n43990 ' Assume' 7\n43991 ' Athens' 7\n43992 ' Athlet' 7\n43993 ' Atomic' 7\n43994 ' Attack' 7\n43995 ' Auburn' 7\n43996 ' August' 7\n43997 ' Aurora' 7\n43998 ' Austin' 7\n43999 ' Author' 7\n44000 ' Außer' 7\n44001 ' Avatar' 7\n44002 ' Avenue' 7\n44003 ' Awards' 7\n44004 ' Backup' 7\n44005 ' Bailey' 7\n44006 ' Baltic' 7\n44007 ' Barack' 7\n44008 ' Barber' 7\n44009 ' Barker' 7\n44010 ' Barnes' 7\n44011 ' Barton' 7\n44012 ' Basket' 7\n44013 ' Batman' 7\n44014 ' Battle' 7\n44015 ' Baxter' 7\n44016 ' Bayern' 7\n44017 ' Beauty' 7\n44018 ' Becker' 7\n44019 ' Before' 7\n44020 ' Behind' 7\n44021 ' Bengal' 7\n44022 ' Benson' 7\n44023 ' Bergen' 7\n44024 ' Berger' 7\n44025 ' Berlin' 7\n44026 ' Bernie' 7\n44027 ' Better' 7\n44028 ' Beyond' 7\n44029 ' Bieber' 7\n44030 ' Binary' 7\n44031 ' Bishop' 7\n44032 ' Bitmap' 7\n44033 ' Blacks' 7\n44034 ' Blocks' 7\n44035 ' Boeing' 7\n44036 ' Bolton' 7\n44037 ' Bonnie' 7\n44038 ' Booker' 7\n44039 ' Border' 7\n44040 ' Bosnia' 7\n44041 ' Boston' 7\n44042 ' Bottom' 7\n44043 ' Branch' 7\n44044 ' Brasil' 7\n44045 ' Brazil' 7\n44046 ' Breast' 7\n44047 ' Brexit' 7\n44048 ' Bridge' 7\n44049 ' Bright' 7\n44050 ' Broker' 7\n44051 ' Bronze' 7\n44052 ' Brooks' 7\n44053 ' Browns' 7\n44054 ' Bryant' 7\n44055 ' Bubble' 7\n44056 ' Buddha' 7\n44057 ' Budget' 7\n44058 ' Buenos' 7\n44059 ' Buffer' 7\n44060 ' Bulgar' 7\n44061 ' Bullet' 7\n44062 ' Bundes' 7\n44063 ' Bundle' 7\n44064 ' Bureau' 7\n44065 ' Burger' 7\n44066 ' Burton' 7\n44067 ' Butler' 7\n44068 ' Butter' 7\n44069 ' Button' 7\n44070 ' CGRect' 7\n44071 ' COLUMN' 7\n44072 ' CONFIG' 7\n44073 ' CREATE' 7\n44074 ' Caesar' 7\n44075 ' Calcul' 7\n44076 ' Calder' 7\n44077 ' Called' 7\n44078 ' Calvin' 7\n44079 ' Camera' 7\n44080 ' Campus' 7\n44081 ' Canada' 7\n44082 ' Cancel' 7\n44083 ' Cancer' 7\n44084 ' Candid' 7\n44085 ' Cannon' 7\n44086 ' Cannot' 7\n44087 ' Canvas' 7\n44088 ' Canyon' 7\n44089 ' Carbon' 7\n44090 ' Career' 7\n44091 ' Carlos' 7\n44092 ' Carmen' 7\n44093 ' Carrie' 7\n44094 ' Carson' 7\n44095 ' Carter' 7\n44096 ' Casino' 7\n44097 ' Castle' 7\n44098 ' Castro' 7\n44099 ' Casual' 7\n44100 ' Celebr' 7\n44101 ' Celtic' 7\n44102 ' Census' 7\n44103 ' Center' 7\n44104 ' Centre' 7\n44105 ' Centro' 7\n44106 ' Chance' 7\n44107 ' Change' 7\n44108 ' Chapel' 7\n44109 ' Charge' 7\n44110 ' Checks' 7\n44111 ' Cheese' 7\n44112 ' Cherry' 7\n44113 ' Chiefs' 7\n44114 ' Choice' 7\n44115 ' Choose' 7\n44116 ' Christ' 7\n44117 ' Chrome' 7\n44118 ' Church' 7\n44119 ' Cinema' 7\n44120 ' Circle' 7\n44121 ' Cities' 7\n44122 ' Ciudad' 7\n44123 ' Claims' 7\n44124 ' Claire' 7\n44125 ' Clarke' 7\n44126 ' Claude' 7\n44127 ' Clause' 7\n44128 ' Client' 7\n44129 ' Clinic' 7\n44130 ' Closed' 7\n44131 ' Coffee' 7\n44132 ' Colleg' 7\n44133 ' Colomb' 7\n44134 ' Colors' 7\n44135 ' Colour' 7\n44136 ' Columb' 7\n44137 ' Column' 7\n44138 ' Combat' 7\n44139 ' Combin' 7\n44140 ' Comedy' 7\n44141 ' Comics' 7\n44142 ' Coming' 7\n44143 ' Commit' 7\n44144 ' Common' 7\n44145 ' Commun' 7\n44146 ' Compan' 7\n44147 ' Compar' 7\n44148 ' Compet' 7\n44149 ' Comput' 7\n44150 ' Config' 7\n44151 ' Connor' 7\n44152 ' Conrad' 7\n44153 ' Contin' 7\n44154 ' Conway' 7\n44155 ' Cookie' 7\n44156 ' Cooper' 7\n44157 ' Copper' 7\n44158 ' Corbyn' 7\n44159 ' Corner' 7\n44160 ' Corona' 7\n44161 ' Corpor' 7\n44162 ' Corpus' 7\n44163 ' Cotton' 7\n44164 ' County' 7\n44165 ' Course' 7\n44166 ' Courts' 7\n44167 ' Create' 7\n44168 ' Credit' 7\n44169 ' Crimea' 7\n44170 ' Crisis' 7\n44171 ' Cruise' 7\n44172 ' Crypto' 7\n44173 ' Cuando' 7\n44174 ' Cursor' 7\n44175 ' Curtis' 7\n44176 ' Custom' 7\n44177 ' Cyprus' 7\n44178 ' César' 7\n44179 ' DAMAGE' 7\n44180 ' DELETE' 7\n44181 ' DIRECT' 7\n44182 ' Dakota' 7\n44183 ' Dallas' 7\n44184 ' Dalton' 7\n44185 ' Damage' 7\n44186 ' Danger' 7\n44187 ' Daniel' 7\n44188 ' Danish' 7\n44189 ' Darwin' 7\n44190 ' Davies' 7\n44191 ' Dawson' 7\n44192 ' Dayton' 7\n44193 ' Debate' 7\n44194 ' Debian' 7\n44195 ' Define' 7\n44196 ' Degree' 7\n44197 ' Delete' 7\n44198 ' Democr' 7\n44199 ' Denise' 7\n44200 ' Dennis' 7\n44201 ' Dental' 7\n44202 ' Denver' 7\n44203 ' Depart' 7\n44204 ' Depend' 7\n44205 ' Deputy' 7\n44206 ' Desert' 7\n44207 ' Design' 7\n44208 ' Detail' 7\n44209 ' Detect' 7\n44210 ' Device' 7\n44211 ' Dexter' 7\n44212 ' Dialog' 7\n44213 ' Diesel' 7\n44214 ' Digest' 7\n44215 ' Dillon' 7\n44216 ' Direct' 7\n44217 ' Disney' 7\n44218 ' Divine' 7\n44219 ' Django' 7\n44220 ' Docker' 7\n44221 ' Doctor' 7\n44222 ' Dollar' 7\n44223 ' Domain' 7\n44224 ' Donald' 7\n44225 ' Double' 7\n44226 ' Dragon' 7\n44227 ' Dreams' 7\n44228 ' Driver' 7\n44229 ' Drupal' 7\n44230 ' Dublin' 7\n44231 ' Dudley' 7\n44232 ' Duncan' 7\n44233 ' Durant' 7\n44234 ' Durham' 7\n44235 ' During' 7\n44236 ' EXISTS' 7\n44237 ' EXPECT' 7\n44238 ' Eagles' 7\n44239 ' Easter' 7\n44240 ' Eating' 7\n44241 ' Econom' 7\n44242 ' Edison' 7\n44243 ' Edited' 7\n44244 ' Editor' 7\n44245 ' Edmund' 7\n44246 ' Edward' 7\n44247 ' Effect' 7\n44248 ' Eighth' 7\n44249 ' Either' 7\n44250 ' Elaine' 7\n44251 ' Eleven' 7\n44252 ' Elliot' 7\n44253 ' Empire' 7\n44254 ' Employ' 7\n44255 ' Enable' 7\n44256 ' Energy' 7\n44257 ' Engine' 7\n44258 ' Ensure' 7\n44259 ' Entity' 7\n44260 ' Ernest' 7\n44261 ' Errors' 7\n44262 ' Escape' 7\n44263 ' Españ' 7\n44264 ' Essays' 7\n44265 ' Establ' 7\n44266 ' Estado' 7\n44267 ' Estate' 7\n44268 ' Esther' 7\n44269 ' Ethics' 7\n44270 ' Eugene' 7\n44271 ' Europa' 7\n44272 ' Europe' 7\n44273 ' Events' 7\n44274 ' Excell' 7\n44275 ' Except' 7\n44276 ' Expand' 7\n44277 ' Expect' 7\n44278 ' Expert' 7\n44279 ' Export' 7\n44280 ' Fabric' 7\n44281 ' Factor' 7\n44282 ' Failed' 7\n44283 ' Falcon' 7\n44284 ' Family' 7\n44285 ' Farmer' 7\n44286 ' Father' 7\n44287 ' Fellow' 7\n44288 ' Female' 7\n44289 ' Fields' 7\n44290 ' Figure' 7\n44291 ' Filter' 7\n44292 ' Finals' 7\n44293 ' Finish' 7\n44294 ' Finite' 7\n44295 ' Fiscal' 7\n44296 ' Fisher' 7\n44297 ' Flickr' 7\n44298 ' Flight' 7\n44299 ' Flores' 7\n44300 ' Flower' 7\n44301 ' Flying' 7\n44302 ' Folder' 7\n44303 ' Follow' 7\n44304 ' Forbes' 7\n44305 ' Forces' 7\n44306 ' Forest' 7\n44307 ' Format' 7\n44308 ' Former' 7\n44309 ' Foster' 7\n44310 ' Fourth' 7\n44311 ' Fowler' 7\n44312 ' France' 7\n44313 ' Franco' 7\n44314 ' Franç' 7\n44315 ' Fraser' 7\n44316 ' Freder' 7\n44317 ' French' 7\n44318 ' Freund' 7\n44319 ' Friday' 7\n44320 ' Friend' 7\n44321 ' Frozen' 7\n44322 ' Fuller' 7\n44323 ' Fusion' 7\n44324 ' Future' 7\n44325 ' GLOBAL' 7\n44326 ' Galaxy' 7\n44327 ' Galile' 7\n44328 ' Gaming' 7\n44329 ' Gandhi' 7\n44330 ' Garcia' 7\n44331 ' Garden' 7\n44332 ' Gareth' 7\n44333 ' Gemini' 7\n44334 ' Gender' 7\n44335 ' Geneva' 7\n44336 ' Genome' 7\n44337 ' George' 7\n44338 ' Gerald' 7\n44339 ' Gerard' 7\n44340 ' German' 7\n44341 ' Giants' 7\n44342 ' Gibson' 7\n44343 ' GitHub' 7\n44344 ' Github' 7\n44345 ' Global' 7\n44346 ' Gloria' 7\n44347 ' Golden' 7\n44348 ' Google' 7\n44349 ' Gordon' 7\n44350 ' Gospel' 7\n44351 ' Gothic' 7\n44352 ' Govern' 7\n44353 ' Graham' 7\n44354 ' Grammy' 7\n44355 ' Grande' 7\n44356 ' Graves' 7\n44357 ' Greece' 7\n44358 ' Greeks' 7\n44359 ' Greene' 7\n44360 ' Greens' 7\n44361 ' Ground' 7\n44362 ' Groups' 7\n44363 ' Growth' 7\n44364 ' Gründ' 7\n44365 ' Guards' 7\n44366 ' Guinea' 7\n44367 ' Gustav' 7\n44368 ' Gómez' 7\n44369 ' HEADER' 7\n44370 ' Hammer' 7\n44371 ' Handle' 7\n44372 ' Hannah' 7\n44373 ' Hansen' 7\n44374 ' Harbor' 7\n44375 ' Harlem' 7\n44376 ' Harley' 7\n44377 ' Harmon' 7\n44378 ' Harold' 7\n44379 ' Harper' 7\n44380 ' Harris' 7\n44381 ' Harvey' 7\n44382 ' Hassan' 7\n44383 ' Having' 7\n44384 ' Hawaii' 7\n44385 ' Hazard' 7\n44386 ' Header' 7\n44387 ' Health' 7\n44388 ' Heaven' 7\n44389 ' Hebrew' 7\n44390 ' Height' 7\n44391 ' Helena' 7\n44392 ' Helper' 7\n44393 ' Herald' 7\n44394 ' Herman' 7\n44395 ' Heroes' 7\n44396 ' Hidden' 7\n44397 ' Higher' 7\n44398 ' Hilton' 7\n44399 ' Hindus' 7\n44400 ' Histor' 7\n44401 ' Hitler' 7\n44402 ' Hockey' 7\n44403 ' Holder' 7\n44404 ' Hollow' 7\n44405 ' Holmes' 7\n44406 ' Hoover' 7\n44407 ' Howard' 7\n44408 ' Huawei' 7\n44409 ' Hubble' 7\n44410 ' Hudson' 7\n44411 ' Hughes' 7\n44412 ' Humans' 7\n44413 ' Hunter' 7\n44414 ' Hybrid' 7\n44415 ' INSERT' 7\n44416 ' Ignore' 7\n44417 ' Images' 7\n44418 ' Impact' 7\n44419 ' Import' 7\n44420 ' Income' 7\n44421 ' Indeed' 7\n44422 ' Indian' 7\n44423 ' Indies' 7\n44424 ' Indust' 7\n44425 ' Infant' 7\n44426 ' Infect' 7\n44427 ' Inform' 7\n44428 ' Injury' 7\n44429 ' Inputs' 7\n44430 ' Insert' 7\n44431 ' Inside' 7\n44432 ' Instit' 7\n44433 ' Integr' 7\n44434 ' Intent' 7\n44435 ' Intern' 7\n44436 ' Invent' 7\n44437 ' Invest' 7\n44438 ' Irving' 7\n44439 ' Isabel' 7\n44440 ' Isaiah' 7\n44441 ' Island' 7\n44442 ' Israel' 7\n44443 ' Issues' 7\n44444 ' Italia' 7\n44445 ' JQuery' 7\n44446 ' Jackie' 7\n44447 ' Jacobs' 7\n44448 ' Jahren' 7\n44449 ' Jensen' 7\n44450 ' Jeremy' 7\n44451 ' Jerome' 7\n44452 ' Jersey' 7\n44453 ' Jewish' 7\n44454 ' Johann' 7\n44455 ' Johnny' 7\n44456 ' Jordan' 7\n44457 ' Joseph' 7\n44458 ' Joshua' 7\n44459 ' Judges' 7\n44460 ' Judith' 7\n44461 ' Julian' 7\n44462 ' Juliet' 7\n44463 ' Julius' 7\n44464 ' Junior' 7\n44465 ' Justin' 7\n44466 ' Kaiser' 7\n44467 ' Kansas' 7\n44468 ' Kaplan' 7\n44469 ' Kazakh' 7\n44470 ' Keller' 7\n44471 ' Kelley' 7\n44472 ' Kelvin' 7\n44473 ' Kepler' 7\n44474 ' Kerala' 7\n44475 ' Kernel' 7\n44476 ' Kimber' 7\n44477 ' Kinder' 7\n44478 ' Kindle' 7\n44479 ' Knight' 7\n44480 ' Korean' 7\n44481 ' Kosovo' 7\n44482 ' Kultur' 7\n44483 ' Kuwait' 7\n44484 ' König' 7\n44485 ' LETTER' 7\n44486 ' LIABLE' 7\n44487 ' Labels' 7\n44488 ' Labour' 7\n44489 ' Ladies' 7\n44490 ' Lakers' 7\n44491 ' Lambda' 7\n44492 ' Lastly' 7\n44493 ' Latino' 7\n44494 ' Latvia' 7\n44495 ' Launch' 7\n44496 ' Lauren' 7\n44497 ' Lawson' 7\n44498 ' Layout' 7\n44499 ' Leader' 7\n44500 ' League' 7\n44501 ' Lebens' 7\n44502 ' Legacy' 7\n44503 ' Legend' 7\n44504 ' Legion' 7\n44505 ' Legisl' 7\n44506 ' Length' 7\n44507 ' Lennon' 7\n44508 ' Lenovo' 7\n44509 ' Leslie' 7\n44510 ' Lesser' 7\n44511 ' Letter' 7\n44512 ' Levels' 7\n44513 ' Levine' 7\n44514 ' Libert' 7\n44515 ' Libyan' 7\n44516 ' Lights' 7\n44517 ' Linear' 7\n44518 ' Linked' 7\n44519 ' Lionel' 7\n44520 ' Liquid' 7\n44521 ' Lisbon' 7\n44522 ' Listen' 7\n44523 ' Little' 7\n44524 ' Living' 7\n44525 ' Locale' 7\n44526 ' Logger' 7\n44527 ' London' 7\n44528 ' Louise' 7\n44529 ' Ludwig' 7\n44530 ' Luther' 7\n44531 ' López' 7\n44532 ' MATLAB' 7\n44533 ' METHOD' 7\n44534 ' MODULE' 7\n44535 ' Macron' 7\n44536 ' Madame' 7\n44537 ' Madrid' 7\n44538 ' Maduro' 7\n44539 ' Maggie' 7\n44540 ' Magnet' 7\n44541 ' Making' 7\n44542 ' Malays' 7\n44543 ' Manage' 7\n44544 ' Manila' 7\n44545 ' Manual' 7\n44546 ' Manuel' 7\n44547 ' Marcel' 7\n44548 ' Marcos' 7\n44549 ' Marcus' 7\n44550 ' Marian' 7\n44551 ' Marina' 7\n44552 ' Marine' 7\n44553 ' Marino' 7\n44554 ' Marion' 7\n44555 ' Marker' 7\n44556 ' Market' 7\n44557 ' Markov' 7\n44558 ' Markus' 7\n44559 ' Martha' 7\n44560 ' Martin' 7\n44561 ' Martí' 7\n44562 ' Marvel' 7\n44563 ' Marvin' 7\n44564 ' María' 7\n44565 ' Master' 7\n44566 ' Matrix' 7\n44567 ' Matter' 7\n44568 ' McCain' 7\n44569 ' Mechan' 7\n44570 ' Median' 7\n44571 ' Medium' 7\n44572 ' Meghan' 7\n44573 ' Member' 7\n44574 ' Memory' 7\n44575 ' Mental' 7\n44576 ' Merkel' 7\n44577 ' Meteor' 7\n44578 ' Method' 7\n44579 ' Metric' 7\n44580 ' Mexico' 7\n44581 ' Michel' 7\n44582 ' Mickey' 7\n44583 ' Middle' 7\n44584 ' Miguel' 7\n44585 ' Milano' 7\n44586 ' Miller' 7\n44587 ' Milton' 7\n44588 ' Mining' 7\n44589 ' Minist' 7\n44590 ' Mirror' 7\n44591 ' Mobile' 7\n44592 ' Models' 7\n44593 ' Modern' 7\n44594 ' Module' 7\n44595 ' Moment' 7\n44596 ' Monaco' 7\n44597 ' Monday' 7\n44598 ' Monica' 7\n44599 ' Monkey' 7\n44600 ' Monroe' 7\n44601 ' Moreno' 7\n44602 ' Morgan' 7\n44603 ' Mormon' 7\n44604 ' Morris' 7\n44605 ' Morton' 7\n44606 ' Moscow' 7\n44607 ' Mother' 7\n44608 ' Motion' 7\n44609 ' Motors' 7\n44610 ' Moving' 7\n44611 ' Mumbai' 7\n44612 ' Munich' 7\n44613 ' Murder' 7\n44614 ' Murphy' 7\n44615 ' Murray' 7\n44616 ' Museum' 7\n44617 ' Muslim' 7\n44618 ' Musée' 7\n44619 ' Mutual' 7\n44620 ' NOTICE' 7\n44621 ' NUMBER' 7\n44622 ' Naples' 7\n44623 ' Napole' 7\n44624 ' Napoli' 7\n44625 ' Nathan' 7\n44626 ' Nation' 7\n44627 ' Native' 7\n44628 ' Nature' 7\n44629 ' Nearly' 7\n44630 ' Nelson' 7\n44631 ' Nested' 7\n44632 ' Nether' 7\n44633 ' Neural' 7\n44634 ' Nevada' 7\n44635 ' Newark' 7\n44636 ' Newman' 7\n44637 ' Newton' 7\n44638 ' Nguyen' 7\n44639 ' Nickel' 7\n44640 ' Nicola' 7\n44641 ' Nicole' 7\n44642 ' Nissan' 7\n44643 ' Nobody' 7\n44644 ' Normal' 7\n44645 ' Norman' 7\n44646 ' Norris' 7\n44647 ' Norton' 7\n44648 ' Norway' 7\n44649 ' Notice' 7\n44650 ' Notify' 7\n44651 ' Number' 7\n44652 ' OBJECT' 7\n44653 ' OPTION' 7\n44654 ' OUTPUT' 7\n44655 ' Object' 7\n44656 ' Observ' 7\n44657 ' Office' 7\n44658 ' Offset' 7\n44659 ' Oliver' 7\n44660 ' Olivia' 7\n44661 ' Olímp' 7\n44662 ' Online' 7\n44663 ' OpenGL' 7\n44664 ' Option' 7\n44665 ' Oracle' 7\n44666 ' Orange' 7\n44667 ' Orders' 7\n44668 ' Oregon' 7\n44669 ' Orient' 7\n44670 ' Origin' 7\n44671 ' Others' 7\n44672 ' Ottawa' 7\n44673 ' Output' 7\n44674 ' Oxford' 7\n44675 ' PARTIC' 7\n44676 ' PROVID' 7\n44677 ' PUBLIC' 7\n44678 ' Packet' 7\n44679 ' Palace' 7\n44680 ' Palest' 7\n44681 ' Palmer' 7\n44682 ' Panama' 7\n44683 ' Papers' 7\n44684 ' Parade' 7\n44685 ' Parent' 7\n44686 ' Parish' 7\n44687 ' Parker' 7\n44688 ' Parser' 7\n44689 ' París' 7\n44690 ' Pascal' 7\n44691 ' Pastor' 7\n44692 ' Patent' 7\n44693 ' Patrol' 7\n44694 ' PayPal' 7\n44695 ' Pelosi' 7\n44696 ' People' 7\n44697 ' Pepper' 7\n44698 ' Period' 7\n44699 ' Person' 7\n44700 ' Peters' 7\n44701 ' Philip' 7\n44702 ' Philos' 7\n44703 ' Photos' 7\n44704 ' Pierce' 7\n44705 ' Pierre' 7\n44706 ' Places' 7\n44707 ' Plains' 7\n44708 ' Planet' 7\n44709 ' Plants' 7\n44710 ' Plasma' 7\n44711 ' Player' 7\n44712 ' Please' 7\n44713 ' Plugin' 7\n44714 ' Pocket' 7\n44715 ' Poetry' 7\n44716 ' Points' 7\n44717 ' Poland' 7\n44718 ' Police' 7\n44719 ' Policy' 7\n44720 ' Polish' 7\n44721 ' Portal' 7\n44722 ' Porter' 7\n44723 ' Portug' 7\n44724 ' Postal' 7\n44725 ' Posted' 7\n44726 ' Potter' 7\n44727 ' Powell' 7\n44728 ' Powers' 7\n44729 ' Prague' 7\n44730 ' Prayer' 7\n44731 ' Pretty' 7\n44732 ' Priest' 7\n44733 ' Primer' 7\n44734 ' Prince' 7\n44735 ' Prison' 7\n44736 ' Proced' 7\n44737 ' PubMed' 7\n44738 ' Public' 7\n44739 ' Puerto' 7\n44740 ' Punjab' 7\n44741 ' Purple' 7\n44742 ' Python' 7\n44743 ' Pérez' 7\n44744 ' Quando' 7\n44745 ' Quebec' 7\n44746 ' Queens' 7\n44747 ' RETURN' 7\n44748 ' Rabbit' 7\n44749 ' Rachel' 7\n44750 ' Racing' 7\n44751 ' Rafael' 7\n44752 ' Rahman' 7\n44753 ' Ramsey' 7\n44754 ' Random' 7\n44755 ' Ranger' 7\n44756 ' Rapids' 7\n44757 ' Rather' 7\n44758 ' Rating' 7\n44759 ' Ravens' 7\n44760 ' Reader' 7\n44761 ' Reagan' 7\n44762 ' Really' 7\n44763 ' Reason' 7\n44764 ' Recall' 7\n44765 ' Recent' 7\n44766 ' Recipe' 7\n44767 ' Recogn' 7\n44768 ' Recomm' 7\n44769 ' Record' 7\n44770 ' Reddit' 7\n44771 ' Reduce' 7\n44772 ' Reform' 7\n44773 ' Refuge' 7\n44774 ' Regina' 7\n44775 ' Region' 7\n44776 ' Relief' 7\n44777 ' Remark' 7\n44778 ' Remote' 7\n44779 ' Remove' 7\n44780 ' Render' 7\n44781 ' Repeat' 7\n44782 ' Report' 7\n44783 ' Rescue' 7\n44784 ' Resort' 7\n44785 ' Result' 7\n44786 ' Retail' 7\n44787 ' Retrie' 7\n44788 ' Return' 7\n44789 ' Review' 7\n44790 ' Reward' 7\n44791 ' Rhodes' 7\n44792 ' Rights' 7\n44793 ' Rising' 7\n44794 ' Rivera' 7\n44795 ' Rivers' 7\n44796 ' Robert' 7\n44797 ' Rocket' 7\n44798 ' Rodrig' 7\n44799 ' Rogers' 7\n44800 ' Roland' 7\n44801 ' Romans' 7\n44802 ' Romero' 7\n44803 ' Romney' 7\n44804 ' Ronald' 7\n44805 ' Rousse' 7\n44806 ' Router' 7\n44807 ' Runner' 7\n44808 ' Russia' 7\n44809 ' Rwanda' 7\n44810 ' SELECT' 7\n44811 ' SQLite' 7\n44812 ' STATES' 7\n44813 ' STATUS' 7\n44814 ' STRICT' 7\n44815 ' STRING' 7\n44816 ' SYSTEM' 7\n44817 ' Sacred' 7\n44818 ' Saddam' 7\n44819 ' Safari' 7\n44820 ' Safety' 7\n44821 ' Sahara' 7\n44822 ' Saints' 7\n44823 ' Salmon' 7\n44824 ' Sample' 7\n44825 ' Samuel' 7\n44826 ' Sandra' 7\n44827 ' Santos' 7\n44828 ' Saturn' 7\n44829 ' Savage' 7\n44830 ' Saving' 7\n44831 ' Saúde' 7\n44832 ' Scalar' 7\n44833 ' Schema' 7\n44834 ' Scheme' 7\n44835 ' Schiff' 7\n44836 ' School' 7\n44837 ' Schwar' 7\n44838 ' Schön' 7\n44839 ' Scient' 7\n44840 ' Scotia' 7\n44841 ' Screen' 7\n44842 ' Script' 7\n44843 ' Scroll' 7\n44844 ' Search' 7\n44845 ' Season' 7\n44846 ' Sebast' 7\n44847 ' Second' 7\n44848 ' Secret' 7\n44849 ' Sector' 7\n44850 ' Secure' 7\n44851 ' Seeing' 7\n44852 ' Según' 7\n44853 ' Select' 7\n44854 ' Senate' 7\n44855 ' Senior' 7\n44856 ' Sensor' 7\n44857 ' Serbia' 7\n44858 ' Sergio' 7\n44859 ' Serial' 7\n44860 ' Series' 7\n44861 ' Server' 7\n44862 ' Sevent' 7\n44863 ' Sexual' 7\n44864 ' Shadow' 7\n44865 ' Shared' 7\n44866 ' Sharks' 7\n44867 ' Sharma' 7\n44868 ' Sharon' 7\n44869 ' Sheets' 7\n44870 ' Sheila' 7\n44871 ' Shelby' 7\n44872 ' Shield' 7\n44873 ' Should' 7\n44874 ' Sidney' 7\n44875 ' Sierra' 7\n44876 ' Signal' 7\n44877 ' Signed' 7\n44878 ' Silver' 7\n44879 ' Simone' 7\n44880 ' Simple' 7\n44881 ' Simply' 7\n44882 ' Singer' 7\n44883 ' Single' 7\n44884 ' Sister' 7\n44885 ' Skills' 7\n44886 ' Sloven' 7\n44887 ' Smooth' 7\n44888 ' Snyder' 7\n44889 ' Soccer' 7\n44890 ' Social' 7\n44891 ' Socket' 7\n44892 ' Sommer' 7\n44893 ' Sophia' 7\n44894 ' Sophie' 7\n44895 ' Sounds' 7\n44896 ' Source' 7\n44897 ' Soviet' 7\n44898 ' SpaceX' 7\n44899 ' Sparse' 7\n44900 ' Speech' 7\n44901 ' Spider' 7\n44902 ' Spirit' 7\n44903 ' Sports' 7\n44904 ' Spread' 7\n44905 ' Spring' 7\n44906 ' Sprint' 7\n44907 ' Sprite' 7\n44908 ' Square' 7\n44909 ' Stalin' 7\n44910 ' States' 7\n44911 ' Static' 7\n44912 ' Status' 7\n44913 ' Steele' 7\n44914 ' Stefan' 7\n44915 ' Stella' 7\n44916 ' Steven' 7\n44917 ' Stokes' 7\n44918 ' Stones' 7\n44919 ' Stores' 7\n44920 ' Stream' 7\n44921 ' Street' 7\n44922 ' Stress' 7\n44923 ' Strict' 7\n44924 ' Strike' 7\n44925 ' String' 7\n44926 ' Strong' 7\n44927 ' Struct' 7\n44928 ' Stuart' 7\n44929 ' Studio' 7\n44930 ' Styles' 7\n44931 ' Submit' 7\n44932 ' Sultan' 7\n44933 ' Summer' 7\n44934 ' Summit' 7\n44935 ' Sunday' 7\n44936 ' Supply' 7\n44937 ' Surely' 7\n44938 ' Survey' 7\n44939 ' Sussex' 7\n44940 ' Sutton' 7\n44941 ' Suzuki' 7\n44942 ' Sweden' 7\n44943 ' Switch' 7\n44944 ' Sydney' 7\n44945 ' Symbol' 7\n44946 ' Syntax' 7\n44947 ' Syrian' 7\n44948 ' System' 7\n44949 ' Süden' 7\n44950 ' TARGET' 7\n44951 ' THEORY' 7\n44952 ' Tables' 7\n44953 ' Taiwan' 7\n44954 ' Taking' 7\n44955 ' Talent' 7\n44956 ' Target' 7\n44957 ' Taylor' 7\n44958 ' Tehran' 7\n44959 ' Temper' 7\n44960 ' Temple' 7\n44961 ' Tennis' 7\n44962 ' Tensor' 7\n44963 ' Teresa' 7\n44964 ' Termin' 7\n44965 ' Territ' 7\n44966 ' Terror' 7\n44967 ' Texans' 7\n44968 ' Thames' 7\n44969 ' Thanks' 7\n44970 ' Theory' 7\n44971 ' Things' 7\n44972 ' Thirty' 7\n44973 ' Thomas' 7\n44974 ' Though' 7\n44975 ' Thread' 7\n44976 ' Threat' 7\n44977 ' Ticket' 7\n44978 ' Tigers' 7\n44979 ' Timber' 7\n44980 ' Titans' 7\n44981 ' Torres' 7\n44982 ' Toyota' 7\n44983 ' Transl' 7\n44984 ' Travel' 7\n44985 ' Travis' 7\n44986 ' Treaty' 7\n44987 ' Trends' 7\n44988 ' Trevor' 7\n44989 ' Trials' 7\n44990 ' Triple' 7\n44991 ' Trophy' 7\n44992 ' Truman' 7\n44993 ' Trying' 7\n44994 ' Tucker' 7\n44995 ' Turing' 7\n44996 ' Turkey' 7\n44997 ' Turner' 7\n44998 ' Twelve' 7\n44999 ' Twenty' 7\n45000 ' Télé' 7\n45001 ' UIView' 7\n45002 ' UNESCO' 7\n45003 ' UPDATE' 7\n45004 ' Ubuntu' 7\n45005 ' Uganda' 7\n45006 ' Ukrain' 7\n45007 ' Unable' 7\n45008 ' Unidos' 7\n45009 ' Unique' 7\n45010 ' United' 7\n45011 ' União' 7\n45012 ' Unless' 7\n45013 ' Unlike' 7\n45014 ' Update' 7\n45015 ' Upload' 7\n45016 ' VALUES' 7\n45017 ' Valent' 7\n45018 ' Valley' 7\n45019 ' Values' 7\n45020 ' Vander' 7\n45021 ' Vector' 7\n45022 ' Venice' 7\n45023 ' Verify' 7\n45024 ' Vernon' 7\n45025 ' Vertex' 7\n45026 ' Victor' 7\n45027 ' Videos' 7\n45028 ' Vienna' 7\n45029 ' Viking' 7\n45030 ' Violet' 7\n45031 ' Virgin' 7\n45032 ' Vision' 7\n45033 ' Visual' 7\n45034 ' Việt' 7\n45035 ' Voices' 7\n45036 ' Volume' 7\n45037 ' Véase' 7\n45038 ' Wagner' 7\n45039 ' Walker' 7\n45040 ' Walter' 7\n45041 ' Walton' 7\n45042 ' Wander' 7\n45043 ' Warner' 7\n45044 ' Warren' 7\n45045 ' Warsaw' 7\n45046 ' Waters' 7\n45047 ' Watson' 7\n45048 ' Weapon' 7\n45049 ' Weaver' 7\n45050 ' Weekly' 7\n45051 ' Weight' 7\n45052 ' Werner' 7\n45053 ' Wesley' 7\n45054 ' Whilst' 7\n45055 ' Widget' 7\n45056 ' Willie' 7\n45057 ' Willis' 7\n45058 ' Wilson' 7\n45059 ' Window' 7\n45060 ' Winter' 7\n45061 ' Within' 7\n45062 ' Wizard' 7\n45063 ' Wonder' 7\n45064 ' Worker' 7\n45065 ' Wright' 7\n45066 ' Writer' 7\n45067 ' Xavier' 7\n45068 ' Xiaomi' 7\n45069 ' Yellow' 7\n45070 ' Yorker' 7\n45071 ' Zimmer' 7\n45072 ' Zucker' 7\n45073 ' ______' 7\n45074 ' aboard' 7\n45075 ' abroad' 7\n45076 ' abrupt' 7\n45077 ' absent' 7\n45078 ' absorb' 7\n45079 ' absurd' 7\n45080 ' abused' 7\n45081 ' abuses' 7\n45082 ' academ' 7\n45083 ' accent' 7\n45084 ' accept' 7\n45085 ' access' 7\n45086 ' accomp' 7\n45087 ' accord' 7\n45088 ' accuse' 7\n45089 ' accès' 7\n45090 ' acidic' 7\n45091 ' acknow' 7\n45092 ' acordo' 7\n45093 ' across' 7\n45094 ' acting' 7\n45095 ' action' 7\n45096 ' active' 7\n45097 ' actors' 7\n45098 ' actual' 7\n45099 ' addict' 7\n45100 ' adding' 7\n45101 ' adhere' 7\n45102 ' adjust' 7\n45103 ' admire' 7\n45104 ' admits' 7\n45105 ' adoles' 7\n45106 ' adults' 7\n45107 ' advant' 7\n45108 ' advent' 7\n45109 ' advers' 7\n45110 ' advert' 7\n45111 ' advice' 7\n45112 ' advise' 7\n45113 ' aerial' 7\n45114 ' affair' 7\n45115 ' affect' 7\n45116 ' affili' 7\n45117 ' affine' 7\n45118 ' affirm' 7\n45119 ' afford' 7\n45120 ' afraid' 7\n45121 ' ageing' 7\n45122 ' agency' 7\n45123 ' agenda' 7\n45124 ' agents' 7\n45125 ' aggrav' 7\n45126 ' aggreg' 7\n45127 ' agosto' 7\n45128 ' agreed' 7\n45129 ' agrees' 7\n45130 ' aiming' 7\n45131 ' alarms' 7\n45132 ' albeit' 7\n45133 ' albums' 7\n45134 ' alerts' 7\n45135 ' alguns' 7\n45136 ' algún' 7\n45137 ' aliens' 7\n45138 ' allege' 7\n45139 ' allele' 7\n45140 ' allerg' 7\n45141 ' allied' 7\n45142 ' allies' 7\n45143 ' allows' 7\n45144 ' almond' 7\n45145 ' almost' 7\n45146 ' altern' 7\n45147 ' alters' 7\n45148 ' alumin' 7\n45149 ' alumni' 7\n45150 ' always' 7\n45151 ' amazed' 7\n45152 ' amazon' 7\n45153 ' ambigu' 7\n45154 ' americ' 7\n45155 ' amidst' 7\n45156 ' amigos' 7\n45157 ' amount' 7\n45158 ' amphib' 7\n45159 ' amused' 7\n45160 ' analog' 7\n45161 ' analys' 7\n45162 ' anarch' 7\n45163 ' anatom' 7\n45164 ' ancest' 7\n45165 ' anchor' 7\n45166 ' andere' 7\n45167 ' angels' 7\n45168 ' angles' 7\n45169 ' animal' 7\n45170 ' announ' 7\n45171 ' annual' 7\n45172 ' année' 7\n45173 ' anomal' 7\n45174 ' anonym' 7\n45175 ' answer' 7\n45176 ' anthem' 7\n45177 ' antiqu' 7\n45178 ' anyone' 7\n45179 ' anyway' 7\n45180 ' apache' 7\n45181 ' apenas' 7\n45182 ' apolog' 7\n45183 ' appart' 7\n45184 ' appeal' 7\n45185 ' appear' 7\n45186 ' appell' 7\n45187 ' append' 7\n45188 ' apples' 7\n45189 ' applic' 7\n45190 ' approx' 7\n45191 ' après' 7\n45192 ' arbitr' 7\n45193 ' arcade' 7\n45194 ' archae' 7\n45195 ' argent' 7\n45196 ' argued' 7\n45197 ' argues' 7\n45198 ' arisen' 7\n45199 ' arises' 7\n45200 ' armies' 7\n45201 ' armour' 7\n45202 ' around' 7\n45203 ' arrang' 7\n45204 ' arrays' 7\n45205 ' arrest' 7\n45206 ' arrive' 7\n45207 ' arrows' 7\n45208 ' artery' 7\n45209 ' artist' 7\n45210 ' ascend' 7\n45211 ' ascent' 7\n45212 ' asking' 7\n45213 ' asleep' 7\n45214 ' aspect' 7\n45215 ' assass' 7\n45216 ' assays' 7\n45217 ' assert' 7\n45218 ' assess' 7\n45219 ' assets' 7\n45220 ' assign' 7\n45221 ' assist' 7\n45222 ' associ' 7\n45223 ' assort' 7\n45224 ' assume' 7\n45225 ' assure' 7\n45226 ' asthma' 7\n45227 ' astron' 7\n45228 ' asylum' 7\n45229 ' asympt' 7\n45230 ' athlet' 7\n45231 ' atomic' 7\n45232 ' attach' 7\n45233 ' attack' 7\n45234 ' attain' 7\n45235 ' attend' 7\n45236 ' attent' 7\n45237 ' attenu' 7\n45238 ' attrib' 7\n45239 ' august' 7\n45240 ' aument' 7\n45241 ' aunque' 7\n45242 ' author' 7\n45243 ' autism' 7\n45244 ' autobi' 7\n45245 ' autour' 7\n45246 ' autres' 7\n45247 ' autumn' 7\n45248 ' außer' 7\n45249 ' avatar' 7\n45250 ' avenue' 7\n45251 ' avoids' 7\n45252 ' awaken' 7\n45253 ' awards' 7\n45254 ' awhile' 7\n45255 ' ação' 7\n45256 ' babies' 7\n45257 ' backed' 7\n45258 ' backup' 7\n45259 ' bacter' 7\n45260 ' baking' 7\n45261 ' balcon' 7\n45262 ' ballet' 7\n45263 ' ballot' 7\n45264 ' bamboo' 7\n45265 ' banana' 7\n45266 ' banker' 7\n45267 ' banned' 7\n45268 ' banner' 7\n45269 ' barbar' 7\n45270 ' barely' 7\n45271 ' barley' 7\n45272 ' barred' 7\n45273 ' barrel' 7\n45274 ' barric' 7\n45275 ' basics' 7\n45276 ' basket' 7\n45277 ' batter' 7\n45278 ' battle' 7\n45279 ' beacon' 7\n45280 ' beasts' 7\n45281 ' beaten' 7\n45282 ' beauty' 7\n45283 ' became' 7\n45284 ' become' 7\n45285 ' before' 7\n45286 ' begins' 7\n45287 ' behalf' 7\n45288 ' behave' 7\n45289 ' behavi' 7\n45290 ' behind' 7\n45291 ' behold' 7\n45292 ' beings' 7\n45293 ' belang' 7\n45294 ' belief' 7\n45295 ' belong' 7\n45296 ' benign' 7\n45297 ' benöt' 7\n45298 ' beside' 7\n45299 ' besoin' 7\n45300 ' betray' 7\n45301 ' better' 7\n45302 ' beyond' 7\n45303 ' biased' 7\n45304 ' biases' 7\n45305 ' bigger' 7\n45306 ' bikini' 7\n45307 ' billed' 7\n45308 ' binary' 7\n45309 ' binder' 7\n45310 ' biopsy' 7\n45311 ' births' 7\n45312 ' bishop' 7\n45313 ' biting' 7\n45314 ' bitmap' 7\n45315 ' bitter' 7\n45316 ' blacks' 7\n45317 ' blades' 7\n45318 ' blamed' 7\n45319 ' blends' 7\n45320 ' blocks' 7\n45321 ' blonde' 7\n45322 ' bloody' 7\n45323 ' boards' 7\n45324 ' boasts' 7\n45325 ' bodies' 7\n45326 ' bodily' 7\n45327 ' boiled' 7\n45328 ' boiler' 7\n45329 ' bomber' 7\n45330 ' bonded' 7\n45331 ' booked' 7\n45332 ' border' 7\n45333 ' boring' 7\n45334 ' borrow' 7\n45335 ' bosses' 7\n45336 ' bother' 7\n45337 ' bottle' 7\n45338 ' bottom' 7\n45339 ' bought' 7\n45340 ' bounce' 7\n45341 ' bounds' 7\n45342 ' bounty' 7\n45343 ' bovine' 7\n45344 ' boxing' 7\n45345 ' braces' 7\n45346 ' brains' 7\n45347 ' brakes' 7\n45348 ' branch' 7\n45349 ' brands' 7\n45350 ' breach' 7\n45351 ' breaks' 7\n45352 ' breast' 7\n45353 ' breath' 7\n45354 ' breeds' 7\n45355 ' breeze' 7\n45356 ' bricks' 7\n45357 ' bridge' 7\n45358 ' bright' 7\n45359 ' brings' 7\n45360 ' broken' 7\n45361 ' broker' 7\n45362 ' bronze' 7\n45363 ' browse' 7\n45364 ' brutal' 7\n45365 ' bubble' 7\n45366 ' bucket' 7\n45367 ' budget' 7\n45368 ' buffer' 7\n45369 ' buffet' 7\n45370 ' builds' 7\n45371 ' bullet' 7\n45372 ' bundle' 7\n45373 ' burden' 7\n45374 ' bureau' 7\n45375 ' burger' 7\n45376 ' burial' 7\n45377 ' buried' 7\n45378 ' burned' 7\n45379 ' burner' 7\n45380 ' bursts' 7\n45381 ' buscar' 7\n45382 ' bushes' 7\n45383 ' butter' 7\n45384 ' button' 7\n45385 ' buyers' 7\n45386 ' buying' 7\n45387 ' bypass' 7\n45388 ' béné' 7\n45389 ' będą' 7\n45390 ' cables' 7\n45391 ' cached' 7\n45392 ' caches' 7\n45393 ' calcul' 7\n45394 ' calibr' 7\n45395 ' called' 7\n45396 ' caller' 7\n45397 ' calmly' 7\n45398 ' calves' 7\n45399 ' cambio' 7\n45400 ' camera' 7\n45401 ' campus' 7\n45402 ' cancel' 7\n45403 ' cancer' 7\n45404 ' candid' 7\n45405 ' candle' 7\n45406 ' canine' 7\n45407 ' canned' 7\n45408 ' cannon' 7\n45409 ' cannot' 7\n45410 ' canopy' 7\n45411 ' canvas' 7\n45412 ' capita' 7\n45413 ' capped' 7\n45414 ' caract' 7\n45415 ' carbon' 7\n45416 ' carcin' 7\n45417 ' cardio' 7\n45418 ' career' 7\n45419 ' caring' 7\n45420 ' carpet' 7\n45421 ' carrot' 7\n45422 ' carved' 7\n45423 ' casing' 7\n45424 ' casino' 7\n45425 ' castle' 7\n45426 ' casual' 7\n45427 ' cataly' 7\n45428 ' catast' 7\n45429 ' cattle' 7\n45430 ' catég' 7\n45431 ' caught' 7\n45432 ' causal' 7\n45433 ' caused' 7\n45434 ' causes' 7\n45435 ' cavern' 7\n45436 ' cavity' 7\n45437 ' ceased' 7\n45438 ' celebr' 7\n45439 ' celery' 7\n45440 ' cellar' 7\n45441 ' cement' 7\n45442 ' census' 7\n45443 ' center' 7\n45444 ' centre' 7\n45445 ' centro' 7\n45446 ' cereal' 7\n45447 ' chains' 7\n45448 ' chairs' 7\n45449 ' chance' 7\n45450 ' change' 7\n45451 ' chapel' 7\n45452 ' chaque' 7\n45453 ' charge' 7\n45454 ' charts' 7\n45455 ' chased' 7\n45456 ' checks' 7\n45457 ' cheeks' 7\n45458 ' cheese' 7\n45459 ' chemin' 7\n45460 ' cherry' 7\n45461 ' chicks' 7\n45462 ' choice' 7\n45463 ' choked' 7\n45464 ' choose' 7\n45465 ' chorus' 7\n45466 ' chosen' 7\n45467 ' christ' 7\n45468 ' chrome' 7\n45469 ' chunks' 7\n45470 ' church' 7\n45471 ' chính' 7\n45472 ' cidade' 7\n45473 ' cinema' 7\n45474 ' cipher' 7\n45475 ' circle' 7\n45476 ' circul' 7\n45477 ' circum' 7\n45478 ' circus' 7\n45479 ' cities' 7\n45480 ' citing' 7\n45481 ' citrus' 7\n45482 ' città' 7\n45483 ' ciudad' 7\n45484 ' claims' 7\n45485 ' classe' 7\n45486 ' clause' 7\n45487 ' cleans' 7\n45488 ' clears' 7\n45489 ' clergy' 7\n45490 ' clever' 7\n45491 ' clicks' 7\n45492 ' client' 7\n45493 ' cliffs' 7\n45494 ' climax' 7\n45495 ' clinic' 7\n45496 ' clique' 7\n45497 ' clocks' 7\n45498 ' cloned' 7\n45499 ' clones' 7\n45500 ' closed' 7\n45501 ' closer' 7\n45502 ' closes' 7\n45503 ' closet' 7\n45504 ' clouds' 7\n45505 ' cloves' 7\n45506 ' clutch' 7\n45507 ' coales' 7\n45508 ' coarse' 7\n45509 ' coated' 7\n45510 ' cobalt' 7\n45511 ' coding' 7\n45512 ' coffee' 7\n45513 ' coffin' 7\n45514 ' cohort' 7\n45515 ' coined' 7\n45516 ' collar' 7\n45517 ' colleg' 7\n45518 ' colony' 7\n45519 ' colors' 7\n45520 ' colour' 7\n45521 ' column' 7\n45522 ' combat' 7\n45523 ' combin' 7\n45524 ' comedy' 7\n45525 ' coment' 7\n45526 ' comenz' 7\n45527 ' começ' 7\n45528 ' comics' 7\n45529 ' coming' 7\n45530 ' commem' 7\n45531 ' commer' 7\n45532 ' commit' 7\n45533 ' commod' 7\n45534 ' common' 7\n45535 ' commun' 7\n45536 ' commut' 7\n45537 ' compan' 7\n45538 ' compar' 7\n45539 ' compat' 7\n45540 ' compel' 7\n45541 ' compet' 7\n45542 ' comple' 7\n45543 ' comply' 7\n45544 ' compon' 7\n45545 ' compos' 7\n45546 ' compte' 7\n45547 ' comput' 7\n45548 ' concat' 7\n45549 ' conced' 7\n45550 ' concer' 7\n45551 ' concur' 7\n45552 ' condem' 7\n45553 ' condom' 7\n45554 ' conduc' 7\n45555 ' confer' 7\n45556 ' config' 7\n45557 ' congen' 7\n45558 ' conjug' 7\n45559 ' consec' 7\n45560 ' consid' 7\n45561 ' conson' 7\n45562 ' constr' 7\n45563 ' consum' 7\n45564 ' contag' 7\n45565 ' conten' 7\n45566 ' contin' 7\n45567 ' contra' 7\n45568 ' contre' 7\n45569 ' contro' 7\n45570 ' conven' 7\n45571 ' conver' 7\n45572 ' convex' 7\n45573 ' convey' 7\n45574 ' convin' 7\n45575 ' cooked' 7\n45576 ' cooker' 7\n45577 ' cookie' 7\n45578 ' cooled' 7\n45579 ' cooler' 7\n45580 ' cooper' 7\n45581 ' coords' 7\n45582 ' copied' 7\n45583 ' copies' 7\n45584 ' coping' 7\n45585 ' copper' 7\n45586 ' corner' 7\n45587 ' corona' 7\n45588 ' corpor' 7\n45589 ' corpse' 7\n45590 ' corpus' 7\n45591 ' correl' 7\n45592 ' corrid' 7\n45593 ' corros' 7\n45594 ' cortex' 7\n45595 ' cosine' 7\n45596 ' cosmic' 7\n45597 ' costly' 7\n45598 ' cotton' 7\n45599 ' couldn' 7\n45600 ' counts' 7\n45601 ' county' 7\n45602 ' couple' 7\n45603 ' coupon' 7\n45604 ' course' 7\n45605 ' courts' 7\n45606 ' cousin' 7\n45607 ' covari' 7\n45608 ' covers' 7\n45609 ' covert' 7\n45610 ' coward' 7\n45611 ' cowork' 7\n45612 ' cracks' 7\n45613 ' crafts' 7\n45614 ' crater' 7\n45615 ' creamy' 7\n45616 ' create' 7\n45617 ' credit' 7\n45618 ' creepy' 7\n45619 ' crimes' 7\n45620 ' crises' 7\n45621 ' crisis' 7\n45622 ' criter' 7\n45623 ' critic' 7\n45624 ' crowds' 7\n45625 ' cruise' 7\n45626 ' crunch' 7\n45627 ' crying' 7\n45628 ' crypto' 7\n45629 ' créer' 7\n45630 ' ctypes' 7\n45631 ' cuales' 7\n45632 ' cuando' 7\n45633 ' cuatro' 7\n45634 ' cuenta' 7\n45635 ' culmin' 7\n45636 ' cultiv' 7\n45637 ' curing' 7\n45638 ' curios' 7\n45639 ' curled' 7\n45640 ' cursed' 7\n45641 ' curses' 7\n45642 ' cursor' 7\n45643 ' curved' 7\n45644 ' curves' 7\n45645 ' custom' 7\n45646 ' cutoff' 7\n45647 ' cutter' 7\n45648 ' cycles' 7\n45649 ' cyclic' 7\n45650 ' cylind' 7\n45651 ' című' 7\n45652 ' côté' 7\n45653 ' daemon' 7\n45654 ' dafür' 7\n45655 ' dagger' 7\n45656 ' damage' 7\n45657 ' damned' 7\n45658 ' danced' 7\n45659 ' dancer' 7\n45660 ' dances' 7\n45661 ' danger' 7\n45662 ' daring' 7\n45663 ' darker' 7\n45664 ' dashed' 7\n45665 ' dating' 7\n45666 ' deadly' 7\n45667 ' dealer' 7\n45668 ' deaths' 7\n45669 ' debate' 7\n45670 ' debian' 7\n45671 ' debido' 7\n45672 ' debris' 7\n45673 ' debtor' 7\n45674 ' decade' 7\n45675 ' decent' 7\n45676 ' decide' 7\n45677 ' declar' 7\n45678 ' decode' 7\n45679 ' decree' 7\n45680 ' deduce' 7\n45681 ' deduct' 7\n45682 ' deemed' 7\n45683 ' deeper' 7\n45684 ' deeply' 7\n45685 ' defeat' 7\n45686 ' defect' 7\n45687 ' defend' 7\n45688 ' define' 7\n45689 ' deform' 7\n45690 ' degree' 7\n45691 ' delays' 7\n45692 ' delete' 7\n45693 ' deline' 7\n45694 ' demand' 7\n45695 ' demise' 7\n45696 ' democr' 7\n45697 ' demons' 7\n45698 ' denial' 7\n45699 ' denied' 7\n45700 ' denies' 7\n45701 ' denote' 7\n45702 ' dental' 7\n45703 ' dentro' 7\n45704 ' depart' 7\n45705 ' depend' 7\n45706 ' depict' 7\n45707 ' deploy' 7\n45708 ' depois' 7\n45709 ' deport' 7\n45710 ' depths' 7\n45711 ' depuis' 7\n45712 ' deputy' 7\n45713 ' derive' 7\n45714 ' dermat' 7\n45715 ' descri' 7\n45716 ' desert' 7\n45717 ' design' 7\n45718 ' desire' 7\n45719 ' desper' 7\n45720 ' destac' 7\n45721 ' destin' 7\n45722 ' destro' 7\n45723 ' detach' 7\n45724 ' detail' 7\n45725 ' detain' 7\n45726 ' detect' 7\n45727 ' determ' 7\n45728 ' devant' 7\n45729 ' devast' 7\n45730 ' device' 7\n45731 ' devise' 7\n45732 ' devoid' 7\n45733 ' devote' 7\n45734 ' diagon' 7\n45735 ' dialog' 7\n45736 ' diesel' 7\n45737 ' diesem' 7\n45738 ' diesen' 7\n45739 ' dieser' 7\n45740 ' dieses' 7\n45741 ' differ' 7\n45742 ' diffic' 7\n45743 ' diffus' 7\n45744 ' diffé' 7\n45745 ' difíc' 7\n45746 ' digest' 7\n45747 ' digits' 7\n45748 ' dinero' 7\n45749 ' dining' 7\n45750 ' dinner' 7\n45751 ' diplom' 7\n45752 ' direct' 7\n45753 ' discre' 7\n45754 ' diseñ' 7\n45755 ' dishes' 7\n45756 ' dismay' 7\n45757 ' dispar' 7\n45758 ' dispon' 7\n45759 ' dispos' 7\n45760 ' dispro' 7\n45761 ' disput' 7\n45762 ' disreg' 7\n45763 ' dissip' 7\n45764 ' distal' 7\n45765 ' divers' 7\n45766 ' divert' 7\n45767 ' divide' 7\n45768 ' divine' 7\n45769 ' diving' 7\n45770 ' django' 7\n45771 ' docker' 7\n45772 ' doctor' 7\n45773 ' doesnt' 7\n45774 ' dollar' 7\n45775 ' domain' 7\n45776 ' domest' 7\n45777 ' donate' 7\n45778 ' donner' 7\n45779 ' donné' 7\n45780 ' donors' 7\n45781 ' doomed' 7\n45782 ' doping' 7\n45783 ' dorsal' 7\n45784 ' dosage' 7\n45785 ' dotted' 7\n45786 ' double' 7\n45787 ' doubly' 7\n45788 ' doubts' 7\n45789 ' dozens' 7\n45790 ' drafts' 7\n45791 ' dragon' 7\n45792 ' drawer' 7\n45793 ' dreams' 7\n45794 ' drills' 7\n45795 ' drinks' 7\n45796 ' driven' 7\n45797 ' driver' 7\n45798 ' drives' 7\n45799 ' drones' 7\n45800 ' drying' 7\n45801 ' dubbed' 7\n45802 ' dumped' 7\n45803 ' duplex' 7\n45804 ' duplic' 7\n45805 ' during' 7\n45806 ' durée' 7\n45807 ' duties' 7\n45808 ' dział' 7\n45809 ' dátum' 7\n45810 ' début' 7\n45811 ' décor' 7\n45812 ' décou' 7\n45813 ' défin' 7\n45814 ' déjà' 7\n45815 ' déput' 7\n45816 ' dével' 7\n45817 ' dụng' 7\n45818 ' earned' 7\n45819 ' easier' 7\n45820 ' easily' 7\n45821 ' eating' 7\n45822 ' echoed' 7\n45823 ' echoes' 7\n45824 ' econom' 7\n45825 ' edible' 7\n45826 ' edited' 7\n45827 ' editor' 7\n45828 ' effect' 7\n45829 ' effort' 7\n45830 ' eighth' 7\n45831 ' eighty' 7\n45832 ' einmal' 7\n45833 ' either' 7\n45834 ' elabor' 7\n45835 ' elders' 7\n45836 ' eldest' 7\n45837 ' electr' 7\n45838 ' eleven' 7\n45839 ' elimin' 7\n45840 ' elites' 7\n45841 ' elucid' 7\n45842 ' emails' 7\n45843 ' embark' 7\n45844 ' emblem' 7\n45845 ' embryo' 7\n45846 ' emerge' 7\n45847 ' emphas' 7\n45848 ' empire' 7\n45849 ' employ' 7\n45850 ' empres' 7\n45851 ' enable' 7\n45852 ' enamel' 7\n45853 ' encaps' 7\n45854 ' encode' 7\n45855 ' encore' 7\n45856 ' encour' 7\n45857 ' ending' 7\n45858 ' endors' 7\n45859 ' endure' 7\n45860 ' energy' 7\n45861 ' engage' 7\n45862 ' engine' 7\n45863 ' enjoys' 7\n45864 ' enlarg' 7\n45865 ' enough' 7\n45866 ' enrich' 7\n45867 ' enroll' 7\n45868 ' ensure' 7\n45869 ' entail' 7\n45870 ' entend' 7\n45871 ' enters' 7\n45872 ' enthus' 7\n45873 ' entire' 7\n45874 ' entity' 7\n45875 ' então' 7\n45876 ' enumer' 7\n45877 ' enzyme' 7\n45878 ' epidem' 7\n45879 ' epochs' 7\n45880 ' equals' 7\n45881 ' equipe' 7\n45882 ' equipo' 7\n45883 ' equity' 7\n45884 ' erased' 7\n45885 ' ermög' 7\n45886 ' erotic' 7\n45887 ' errone' 7\n45888 ' errors' 7\n45889 ' escape' 7\n45890 ' escort' 7\n45891 ' escrit' 7\n45892 ' españ' 7\n45893 ' essays' 7\n45894 ' essere' 7\n45895 ' estaba' 7\n45896 ' establ' 7\n45897 ' estado' 7\n45898 ' estate' 7\n45899 ' estava' 7\n45900 ' estilo' 7\n45901 ' están' 7\n45902 ' estão' 7\n45903 ' ethics' 7\n45904 ' ethnic' 7\n45905 ' europe' 7\n45906 ' evapor' 7\n45907 ' evenly' 7\n45908 ' evento' 7\n45909 ' events' 7\n45910 ' evolve' 7\n45911 ' exceed' 7\n45912 ' excell' 7\n45913 ' except' 7\n45914 ' excess' 7\n45915 ' exclus' 7\n45916 ' excuse' 7\n45917 ' execut' 7\n45918 ' exempl' 7\n45919 ' exempt' 7\n45920 ' existe' 7\n45921 ' exists' 7\n45922 ' exited' 7\n45923 ' exotic' 7\n45924 ' expand' 7\n45925 ' expans' 7\n45926 ' expect' 7\n45927 ' expend' 7\n45928 ' experi' 7\n45929 ' expert' 7\n45930 ' expire' 7\n45931 ' explan' 7\n45932 ' explic' 7\n45933 ' explor' 7\n45934 ' explos' 7\n45935 ' export' 7\n45936 ' expose' 7\n45937 ' expres' 7\n45938 ' extend' 7\n45939 ' extent' 7\n45940 ' extern' 7\n45941 ' extrad' 7\n45942 ' extras' 7\n45943 ' extrav' 7\n45944 ' extrem' 7\n45945 ' fabric' 7\n45946 ' facets' 7\n45947 ' facial' 7\n45948 ' facile' 7\n45949 ' facing' 7\n45950 ' factor' 7\n45951 ' facult' 7\n45952 ' fading' 7\n45953 ' failed' 7\n45954 ' fairly' 7\n45955 ' fallen' 7\n45956 ' family' 7\n45957 ' famine' 7\n45958 ' famous' 7\n45959 ' fantas' 7\n45960 ' farmer' 7\n45961 ' faster' 7\n45962 ' father' 7\n45963 ' faults' 7\n45964 ' faulty' 7\n45965 ' favors' 7\n45966 ' favour' 7\n45967 ' façon' 7\n45968 ' feared' 7\n45969 ' fellow' 7\n45970 ' felony' 7\n45971 ' female' 7\n45972 ' femmes' 7\n45973 ' fertil' 7\n45974 ' fibers' 7\n45975 ' fiddle' 7\n45976 ' fields' 7\n45977 ' fierce' 7\n45978 ' fights' 7\n45979 ' figura' 7\n45980 ' figure' 7\n45981 ' filing' 7\n45982 ' filled' 7\n45983 ' filler' 7\n45984 ' filmed' 7\n45985 ' filter' 7\n45986 ' finale' 7\n45987 ' finals' 7\n45988 ' financ' 7\n45989 ' finder' 7\n45990 ' finely' 7\n45991 ' finest' 7\n45992 ' finger' 7\n45993 ' finish' 7\n45994 ' finite' 7\n45995 ' firing' 7\n45996 ' firmly' 7\n45997 ' fiscal' 7\n45998 ' fisher' 7\n45999 ' fishes' 7\n46000 ' fitted' 7\n46001 ' fixing' 7\n46002 ' flakes' 7\n46003 ' flames' 7\n46004 ' flavor' 7\n46005 ' flawed' 7\n46006 ' flight' 7\n46007 ' floats' 7\n46008 ' floods' 7\n46009 ' floors' 7\n46010 ' floral' 7\n46011 ' flowed' 7\n46012 ' flower' 7\n46013 ' fluids' 7\n46014 ' flying' 7\n46015 ' folded' 7\n46016 ' folder' 7\n46017 ' follic' 7\n46018 ' follow' 7\n46019 ' footer' 7\n46020 ' forbid' 7\n46021 ' forced' 7\n46022 ' forces' 7\n46023 ' forest' 7\n46024 ' forged' 7\n46025 ' forget' 7\n46026 ' forgot' 7\n46027 ' formal' 7\n46028 ' format' 7\n46029 ' formed' 7\n46030 ' former' 7\n46031 ' formul' 7\n46032 ' fortun' 7\n46033 ' forums' 7\n46034 ' fossil' 7\n46035 ' foster' 7\n46036 ' fought' 7\n46037 ' fourth' 7\n46038 ' framed' 7\n46039 ' frames' 7\n46040 ' franch' 7\n46041 ' franç' 7\n46042 ' freely' 7\n46043 ' freeze' 7\n46044 ' french' 7\n46045 ' frente' 7\n46046 ' fridge' 7\n46047 ' friend' 7\n46048 ' fright' 7\n46049 ' fringe' 7\n46050 ' fronts' 7\n46051 ' frozen' 7\n46052 ' fruits' 7\n46053 ' frustr' 7\n46054 ' frère' 7\n46055 ' fréqu' 7\n46056 ' fucked' 7\n46057 ' fueled' 7\n46058 ' fueron' 7\n46059 ' fulfil' 7\n46060 ' funded' 7\n46061 ' fungus' 7\n46062 ' funnel' 7\n46063 ' fusion' 7\n46064 ' future' 7\n46065 ' futuro' 7\n46066 ' fácil' 7\n46067 ' fémin' 7\n46068 ' först' 7\n46069 ' führt' 7\n46070 ' gadget' 7\n46071 ' gained' 7\n46072 ' galaxy' 7\n46073 ' gallon' 7\n46074 ' gamers' 7\n46075 ' gaming' 7\n46076 ' garage' 7\n46077 ' garant' 7\n46078 ' garden' 7\n46079 ' garlic' 7\n46080 ' gastro' 7\n46081 ' gather' 7\n46082 ' gauche' 7\n46083 ' geared' 7\n46084 ' gehör' 7\n46085 ' gender' 7\n46086 ' genera' 7\n46087 ' genius' 7\n46088 ' genome' 7\n46089 ' genres' 7\n46090 ' gentle' 7\n46091 ' gently' 7\n46092 ' geomet' 7\n46093 ' getter' 7\n46094 ' ghosts' 7\n46095 ' giants' 7\n46096 ' gifted' 7\n46097 ' ginger' 7\n46098 ' github' 7\n46099 ' giving' 7\n46100 ' gladly' 7\n46101 ' glance' 7\n46102 ' glands' 7\n46103 ' gleich' 7\n46104 ' global' 7\n46105 ' gloves' 7\n46106 ' gluten' 7\n46107 ' glycol' 7\n46108 ' golden' 7\n46109 ' google' 7\n46110 ' gospel' 7\n46111 ' gossip' 7\n46112 ' gotten' 7\n46113 ' govern' 7\n46114 ' graded' 7\n46115 ' grades' 7\n46116 ' grains' 7\n46117 ' grande' 7\n46118 ' grands' 7\n46119 ' grants' 7\n46120 ' grapes' 7\n46121 ' graphs' 7\n46122 ' gravel' 7\n46123 ' graves' 7\n46124 ' gravit' 7\n46125 ' grease' 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hunger' 7\n46232 ' hungry' 7\n46233 ' hunter' 7\n46234 ' hybrid' 7\n46235 ' hypers' 7\n46236 ' hypert' 7\n46237 ' hypocr' 7\n46238 ' hypoth' 7\n46239 ' hyster' 7\n46240 ' hätte' 7\n46241 ' iPhone' 7\n46242 ' iTunes' 7\n46243 ' iconic' 7\n46244 ' ideals' 7\n46245 ' iframe' 7\n46246 ' ignore' 7\n46247 ' illust' 7\n46248 ' imagen' 7\n46249 ' images' 7\n46250 ' imagin' 7\n46251 ' immedi' 7\n46252 ' immers' 7\n46253 ' immune' 7\n46254 ' impact' 7\n46255 ' impair' 7\n46256 ' impart' 7\n46257 ' implic' 7\n46258 ' import' 7\n46259 ' impose' 7\n46260 ' imposs' 7\n46261 ' improv' 7\n46262 ' impuls' 7\n46263 ' incarn' 7\n46264 ' incent' 7\n46265 ' inches' 7\n46266 ' includ' 7\n46267 ' inclus' 7\n46268 ' income' 7\n46269 ' incomp' 7\n46270 ' incons' 7\n46271 ' incred' 7\n46272 ' indeed' 7\n46273 ' indemn' 7\n46274 ' indent' 7\n46275 ' indice' 7\n46276 ' indict' 7\n46277 ' indign' 7\n46278 ' indist' 7\n46279 ' indoor' 7\n46280 ' induce' 7\n46281 ' induct' 7\n46282 ' indust' 7\n46283 ' infant' 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7\n46758 ' parish' 7\n46759 ' parity' 7\n46760 ' parked' 7\n46761 ' parole' 7\n46762 ' parsed' 7\n46763 ' parser' 7\n46764 ' parted' 7\n46765 ' partic' 7\n46766 ' partie' 7\n46767 ' partir' 7\n46768 ' partly' 7\n46769 ' passed' 7\n46770 ' passer' 7\n46771 ' passes' 7\n46772 ' passé' 7\n46773 ' pastor' 7\n46774 ' patent' 7\n46775 ' patrol' 7\n46776 ' patron' 7\n46777 ' paused' 7\n46778 ' paying' 7\n46779 ' peaked' 7\n46780 ' peanut' 7\n46781 ' pedest' 7\n46782 ' peeled' 7\n46783 ' pelvic' 7\n46784 ' pencil' 7\n46785 ' penetr' 7\n46786 ' pentru' 7\n46787 ' people' 7\n46788 ' pepper' 7\n46789 ' perfor' 7\n46790 ' period' 7\n46791 ' perman' 7\n46792 ' permet' 7\n46793 ' permit' 7\n46794 ' perpet' 7\n46795 ' person' 7\n46796 ' pessim' 7\n46797 ' pessoa' 7\n46798 ' pestic' 7\n46799 ' petite' 7\n46800 ' petrol' 7\n46801 ' phases' 7\n46802 ' philos' 7\n46803 ' phones' 7\n46804 ' phosph' 7\n46805 ' photoc' 7\n46806 ' photon' 7\n46807 ' photos' 7\n46808 ' phrase' 7\n46809 ' physic' 7\n46810 ' 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' ponder' 7\n46864 ' pooled' 7\n46865 ' poorer' 7\n46866 ' poorly' 7\n46867 ' popped' 7\n46868 ' porous' 7\n46869 ' porque' 7\n46870 ' portal' 7\n46871 ' posing' 7\n46872 ' postal' 7\n46873 ' posted' 7\n46874 ' poster' 7\n46875 ' potato' 7\n46876 ' potent' 7\n46877 ' pounds' 7\n46878 ' poured' 7\n46879 ' powder' 7\n46880 ' powers' 7\n46881 ' praise' 7\n46882 ' prayed' 7\n46883 ' prayer' 7\n46884 ' preach' 7\n46885 ' preced' 7\n46886 ' precip' 7\n46887 ' precis' 7\n46888 ' predic' 7\n46889 ' predis' 7\n46890 ' prefer' 7\n46891 ' prefix' 7\n46892 ' prejud' 7\n46893 ' prelim' 7\n46894 ' prepar' 7\n46895 ' presum' 7\n46896 ' pretty' 7\n46897 ' preval' 7\n46898 ' preço' 7\n46899 ' priced' 7\n46900 ' prices' 7\n46901 ' priest' 7\n46902 ' primer' 7\n46903 ' primes' 7\n46904 ' prince' 7\n46905 ' printf' 7\n46906 ' prints' 7\n46907 ' priori' 7\n46908 ' prison' 7\n46909 ' privat' 7\n46910 ' prizes' 7\n46911 ' probes' 7\n46912 ' proble' 7\n46913 ' proced' 7\n46914 ' proces' 7\n46915 ' procur' 7\n46916 ' profes' 7\n46917 ' profil' 7\n46918 ' profit' 7\n46919 ' progen' 7\n46920 ' prohib' 7\n46921 ' projet' 7\n46922 ' prolif' 7\n46923 ' promin' 7\n46924 ' promot' 7\n46925 ' prompt' 7\n46926 ' proofs' 7\n46927 ' propag' 7\n46928 ' proper' 7\n46929 ' propor' 7\n46930 ' propos' 7\n46931 ' propre' 7\n46932 ' propri' 7\n46933 ' prosec' 7\n46934 ' proton' 7\n46935 ' proté' 7\n46936 ' proved' 7\n46937 ' proven' 7\n46938 ' proves' 7\n46939 ' provid' 7\n46940 ' provoc' 7\n46941 ' proxim' 7\n46942 ' první' 7\n46943 ' prüfe' 7\n46944 ' pseudo' 7\n46945 ' psycho' 7\n46946 ' public' 7\n46947 ' pueblo' 7\n46948 ' pueden' 7\n46949 ' puesto' 7\n46950 ' pulled' 7\n46951 ' pulses' 7\n46952 ' pumped' 7\n46953 ' punish' 7\n46954 ' puntos' 7\n46955 ' pupils' 7\n46956 ' puppet' 7\n46957 ' purely' 7\n46958 ' purity' 7\n46959 ' purple' 7\n46960 ' pursue' 7\n46961 ' pushed' 7\n46962 ' pushes' 7\n46963 ' puzzle' 7\n46964 ' pygame' 7\n46965 ' pytest' 7\n46966 ' python' 7\n46967 ' quando' 7\n46968 ' quanto' 7\n46969 ' quartz' 7\n46970 ' quatre' 7\n46971 ' qubits' 7\n46972 ' quelle' 7\n46973 ' questa' 7\n46974 ' questo' 7\n46975 ' queues' 7\n46976 ' quotas' 7\n46977 ' quoted' 7\n46978 ' quotes' 7\n46979 ' rabbit' 7\n46980 ' racial' 7\n46981 ' racing' 7\n46982 ' racism' 7\n46983 ' racist' 7\n46984 ' racket' 7\n46985 ' radial' 7\n46986 ' radios' 7\n46987 ' radius' 7\n46988 ' raging' 7\n46989 ' raised' 7\n46990 ' raises' 7\n46991 ' raison' 7\n46992 ' random' 7\n46993 ' ranged' 7\n46994 ' ranges' 7\n46995 ' ranked' 7\n46996 ' ransom' 7\n46997 ' rapide' 7\n46998 ' rapper' 7\n46999 ' rarely' 7\n47000 ' raster' 7\n47001 ' rather' 7\n47002 ' rating' 7\n47003 ' ration' 7\n47004 ' ratios' 7\n47005 ' reacts' 7\n47006 ' reader' 7\n47007 ' realiz' 7\n47008 ' really' 7\n47009 ' reason' 7\n47010 ' rebell' 7\n47011 ' rebels' 7\n47012 ' reboot' 7\n47013 ' recall' 7\n47014 ' recent' 7\n47015 ' recept' 7\n47016 ' recess' 7\n47017 ' recher' 7\n47018 ' recipe' 7\n47019 ' reckon' 7\n47020 ' recogn' 7\n47021 ' recomb' 7\n47022 ' recomm' 7\n47023 ' reconc' 7\n47024 ' record' 7\n47025 ' recurs' 7\n47026 ' recycl' 7\n47027 ' reddit' 7\n47028 ' redeem' 7\n47029 ' redist' 7\n47030 ' reduce' 7\n47031 ' reduct' 7\n47032 ' redund' 7\n47033 ' refere' 7\n47034 ' refers' 7\n47035 ' refine' 7\n47036 ' reflex' 7\n47037 ' reform' 7\n47038 ' refres' 7\n47039 ' refuge' 7\n47040 ' refund' 7\n47041 ' refuse' 7\n47042 ' regain' 7\n47043 ' regard' 7\n47044 ' regexp' 7\n47045 ' regime' 7\n47046 ' region' 7\n47047 ' regist' 7\n47048 ' regret' 7\n47049 ' reinst' 7\n47050 ' reiter' 7\n47051 ' reject' 7\n47052 ' relate' 7\n47053 ' relent' 7\n47054 ' relied' 7\n47055 ' relief' 7\n47056 ' relies' 7\n47057 ' reload' 7\n47058 ' reluct' 7\n47059 ' remain' 7\n47060 ' remake' 7\n47061 ' remark' 7\n47062 ' remedy' 7\n47063 ' remind' 7\n47064 ' remote' 7\n47065 ' remove' 7\n47066 ' rename' 7\n47067 ' render' 7\n47068 ' rendre' 7\n47069 ' rental' 7\n47070 ' rented' 7\n47071 ' reopen' 7\n47072 ' repair' 7\n47073 ' repeal' 7\n47074 ' repeat' 7\n47075 ' repent' 7\n47076 ' reperc' 7\n47077 ' replay' 7\n47078 ' replen' 7\n47079 ' replic' 7\n47080 ' report' 7\n47081 ' rescue' 7\n47082 ' resear' 7\n47083 ' resent' 7\n47084 ' reserv' 7\n47085 ' reside' 7\n47086 ' resign' 7\n47087 ' resist' 7\n47088 ' resize' 7\n47089 ' resort' 7\n47090 ' respir' 7\n47091 ' rested' 7\n47092 ' result' 7\n47093 ' resume' 7\n47094 ' retail' 7\n47095 ' retain' 7\n47096 ' retard' 7\n47097 ' retina' 7\n47098 ' retire' 7\n47099 ' retour' 7\n47100 ' retrie' 7\n47101 ' retros' 7\n47102 ' return' 7\n47103 ' retval' 7\n47104 ' reused' 7\n47105 ' reveal' 7\n47106 ' revers' 7\n47107 ' revert' 7\n47108 ' review' 7\n47109 ' revise' 7\n47110 ' revive' 7\n47111 ' revolt' 7\n47112 ' reward' 7\n47113 ' rhythm' 7\n47114 ' ribbon' 7\n47115 ' richer' 7\n47116 ' riches' 7\n47117 ' riders' 7\n47118 ' riding' 7\n47119 ' rifles' 7\n47120 ' rights' 7\n47121 ' ripped' 7\n47122 ' rising' 7\n47123 ' ritual' 7\n47124 ' rivals' 7\n47125 ' rivers' 7\n47126 ' robbed' 7\n47127 ' robber' 7\n47128 ' robots' 7\n47129 ' robust' 7\n47130 ' rocket' 7\n47131 ' rolled' 7\n47132 ' roller' 7\n47133 ' rookie' 7\n47134 ' rooted' 7\n47135 ' roster' 7\n47136 ' rotary' 7\n47137 ' rotate' 7\n47138 ' rotten' 7\n47139 ' rounds' 7\n47140 ' routed' 7\n47141 ' router' 7\n47142 ' routes' 7\n47143 ' rubbed' 7\n47144 ' rubber' 7\n47145 ' rugged' 7\n47146 ' ruined' 7\n47147 ' rulers' 7\n47148 ' ruling' 7\n47149 ' rumors' 7\n47150 ' runner' 7\n47151 ' runway' 7\n47152 ' rushed' 7\n47153 ' récup' 7\n47154 ' réfé' 7\n47155 ' régul' 7\n47156 ' réuss' 7\n47157 ' sacred' 7\n47158 ' saddle' 7\n47159 ' safely' 7\n47160 ' safety' 7\n47161 ' sailed' 7\n47162 ' sailor' 7\n47163 ' saints' 7\n47164 ' saison' 7\n47165 ' salary' 7\n47166 ' saline' 7\n47167 ' saliva' 7\n47168 ' salmon' 7\n47169 ' sample' 7\n47170 ' sanity' 7\n47171 ' santé' 7\n47172 ' satell' 7\n47173 ' satisf' 7\n47174 ' savage' 7\n47175 ' saving' 7\n47176 ' savoir' 7\n47177 ' saying' 7\n47178 ' saúde' 7\n47179 ' scalar' 7\n47180 ' scaled' 7\n47181 ' scales' 7\n47182 ' scarce' 7\n47183 ' scared' 7\n47184 ' scenes' 7\n47185 ' scenic' 7\n47186 ' schema' 7\n47187 ' scheme' 7\n47188 ' school' 7\n47189 ' schön' 7\n47190 ' scient' 7\n47191 ' scored' 7\n47192 ' scores' 7\n47193 ' scrape' 7\n47194 ' scream' 7\n47195 ' screen' 7\n47196 ' screws' 7\n47197 ' script' 7\n47198 ' scroll' 7\n47199 ' sculpt' 7\n47200 ' scène' 7\n47201 ' sealed' 7\n47202 ' search' 7\n47203 ' season' 7\n47204 ' seated' 7\n47205 ' second' 7\n47206 ' secret' 7\n47207 ' sector' 7\n47208 ' secure' 7\n47209 ' seeded' 7\n47210 ' seeing' 7\n47211 ' seemed' 7\n47212 ' segreg' 7\n47213 ' seguir' 7\n47214 ' según' 7\n47215 ' seiner' 7\n47216 ' seized' 7\n47217 ' selbst' 7\n47218 ' seldom' 7\n47219 ' select' 7\n47220 ' selfie' 7\n47221 ' seller' 7\n47222 ' semana' 7\n47223 ' sempre' 7\n47224 ' sender' 7\n47225 ' senior' 7\n47226 ' sensed' 7\n47227 ' senses' 7\n47228 ' sensit' 7\n47229 ' sensor' 7\n47230 ' sentir' 7\n47231 ' sequel' 7\n47232 ' serait' 7\n47233 ' serial' 7\n47234 ' series' 7\n47235 ' served' 7\n47236 ' server' 7\n47237 ' serves' 7\n47238 ' servic' 7\n47239 ' serão' 7\n47240 ' setter' 7\n47241 ' settle' 7\n47242 ' sevent' 7\n47243 ' severe' 7\n47244 ' sewage' 7\n47245 ' sewing' 7\n47246 ' sexual' 7\n47247 ' shader' 7\n47248 ' shades' 7\n47249 ' shadow' 7\n47250 ' shaken' 7\n47251 ' shakes' 7\n47252 ' shaped' 7\n47253 ' shapes' 7\n47254 ' shared' 7\n47255 ' shares' 7\n47256 ' sharks' 7\n47257 ' sheets' 7\n47258 ' shells' 7\n47259 ' shield' 7\n47260 ' shifts' 7\n47261 ' shirts' 7\n47262 ' shocks' 7\n47263 ' shoots' 7\n47264 ' shores' 7\n47265 ' shorts' 7\n47266 ' should' 7\n47267 ' shouts' 7\n47268 ' shoved' 7\n47269 ' shovel' 7\n47270 ' showed' 7\n47271 ' shower' 7\n47272 ' shrimp' 7\n47273 ' shrink' 7\n47274 ' siendo' 7\n47275 ' sighed' 7\n47276 ' sights' 7\n47277 ' signal' 7\n47278 ' signed' 7\n47279 ' silent' 7\n47280 ' silhou' 7\n47281 ' silica' 7\n47282 ' silver' 7\n47283 ' simmer' 7\n47284 ' simple' 7\n47285 ' simply' 7\n47286 ' simult' 7\n47287 ' sincer' 7\n47288 ' singer' 7\n47289 ' single' 7\n47290 ' sister' 7\n47291 ' situé' 7\n47292 ' sizeof' 7\n47293 ' siège' 7\n47294 ' sketch' 7\n47295 ' skewed' 7\n47296 ' skiing' 7\n47297 ' skills' 7\n47298 ' skinny' 7\n47299 ' skulle' 7\n47300 ' skład' 7\n47301 ' slated' 7\n47302 ' slaves' 7\n47303 ' sleepy' 7\n47304 ' sleeve' 7\n47305 ' sliced' 7\n47306 ' slices' 7\n47307 ' slider' 7\n47308 ' slides' 7\n47309 ' slight' 7\n47310 ' slogan' 7\n47311 ' slopes' 7\n47312 ' slowed' 7\n47313 ' slower' 7\n47314 ' slowly' 7\n47315 ' smells' 7\n47316 ' smiled' 7\n47317 ' smiles' 7\n47318 ' smoked' 7\n47319 ' smooth' 7\n47320 ' snacks' 7\n47321 ' snakes' 7\n47322 ' soaked' 7\n47323 ' soccer' 7\n47324 ' social' 7\n47325 ' socket' 7\n47326 ' sodium' 7\n47327 ' softer' 7\n47328 ' softly' 7\n47329 ' solder' 7\n47330 ' solely' 7\n47331 ' solemn' 7\n47332 ' sollte' 7\n47333 ' solved' 7\n47334 ' solver' 7\n47335 ' solves' 7\n47336 ' sooner' 7\n47337 ' sorrow' 7\n47338 ' sorted' 7\n47339 ' sortie' 7\n47340 ' sought' 7\n47341 ' sounds' 7\n47342 ' source' 7\n47343 ' spaced' 7\n47344 ' spacer' 7\n47345 ' spaces' 7\n47346 ' spared' 7\n47347 ' sparks' 7\n47348 ' sparse' 7\n47349 ' speaks' 7\n47350 ' speech' 7\n47351 ' speeds' 7\n47352 ' speedy' 7\n47353 ' spells' 7\n47354 ' spends' 7\n47355 ' sphere' 7\n47356 ' spices' 7\n47357 ' spider' 7\n47358 ' spiked' 7\n47359 ' spikes' 7\n47360 ' spinal' 7\n47361 ' spiral' 7\n47362 ' spirit' 7\n47363 ' splash' 7\n47364 ' splend' 7\n47365 ' splice' 7\n47366 ' spline' 7\n47367 ' splits' 7\n47368 ' spoken' 7\n47369 ' spokes' 7\n47370 ' sponge' 7\n47371 ' sports' 7\n47372 ' spouse' 7\n47373 ' spread' 7\n47374 ' spring' 7\n47375 ' sprint' 7\n47376 ' sprite' 7\n47377 ' spying' 7\n47378 ' sqlite' 7\n47379 ' square' 7\n47380 ' squash' 7\n47381 ' stabil' 7\n47382 ' stable' 7\n47383 ' stacks' 7\n47384 ' staged' 7\n47385 ' stages' 7\n47386 ' stains' 7\n47387 ' stairs' 7\n47388 ' stakes' 7\n47389 ' stalls' 7\n47390 ' stamps' 7\n47391 ' stance' 7\n47392 ' stands' 7\n47393 ' staple' 7\n47394 ' starch' 7\n47395 ' stared' 7\n47396 ' starts' 7\n47397 ' stated' 7\n47398 ' states' 7\n47399 ' static' 7\n47400 ' statue' 7\n47401 ' status' 7\n47402 ' stayed' 7\n47403 ' stderr' 7\n47404 ' stdout' 7\n47405 ' steady' 7\n47406 ' stereo' 7\n47407 ' steril' 7\n47408 ' sticks' 7\n47409 ' sticky' 7\n47410 ' stigma' 7\n47411 ' stitch' 7\n47412 ' stocks' 7\n47413 ' stolen' 7\n47414 ' stones' 7\n47415 ' stored' 7\n47416 ' stores' 7\n47417 ' storms' 7\n47418 ' strain' 7\n47419 ' strand' 7\n47420 ' strang' 7\n47421 ' straps' 7\n47422 ' streak' 7\n47423 ' stream' 7\n47424 ' street' 7\n47425 ' stress' 7\n47426 ' strict' 7\n47427 ' stride' 7\n47428 ' strike' 7\n47429 ' string' 7\n47430 ' stripe' 7\n47431 ' strips' 7\n47432 ' strive' 7\n47433 ' strlen' 7\n47434 ' stroke' 7\n47435 ' stroll' 7\n47436 ' strong' 7\n47437 ' struck' 7\n47438 ' struct' 7\n47439 ' strugg' 7\n47440 ' studio' 7\n47441 ' stupid' 7\n47442 ' sturdy' 7\n47443 ' styled' 7\n47444 ' styles' 7\n47445 ' subdiv' 7\n47446 ' submar' 7\n47447 ' submit' 7\n47448 ' subset' 7\n47449 ' subsid' 7\n47450 ' substr' 7\n47451 ' subtle' 7\n47452 ' suburb' 7\n47453 ' subway' 7\n47454 ' succes' 7\n47455 ' sucked' 7\n47456 ' sudden' 7\n47457 ' suffer' 7\n47458 ' suffix' 7\n47459 ' sugars' 7\n47460 ' suited' 7\n47461 ' suites' 7\n47462 ' sulfur' 7\n47463 ' summar' 7\n47464 ' summed' 7\n47465 ' summer' 7\n47466 ' summit' 7\n47467 ' summon' 7\n47468 ' sunset' 7\n47469 ' superb' 7\n47470 ' superf' 7\n47471 ' supern' 7\n47472 ' supers' 7\n47473 ' superv' 7\n47474 ' supper' 7\n47475 ' supply' 7\n47476 ' suprem' 7\n47477 ' surely' 7\n47478 ' survey' 7\n47479 ' surviv' 7\n47480 ' swings' 7\n47481 ' switch' 7\n47482 ' swords' 7\n47483 ' symbol' 7\n47484 ' symmet' 7\n47485 ' synerg' 7\n47486 ' syntax' 7\n47487 ' system' 7\n47488 ' sécur' 7\n47489 ' série' 7\n47490 ' tables' 7\n47491 ' tablet' 7\n47492 ' tackle' 7\n47493 ' tactic' 7\n47494 ' tagged' 7\n47495 ' taille' 7\n47496 ' tailor' 7\n47497 ' taking' 7\n47498 ' także' 7\n47499 ' talent' 7\n47500 ' talked' 7\n47501 ' taller' 7\n47502 ' talál' 7\n47503 ' també' 7\n47504 ' tandem' 7\n47505 ' tapped' 7\n47506 ' target' 7\n47507 ' tariff' 7\n47508 ' tasked' 7\n47509 ' tasted' 7\n47510 ' tastes' 7\n47511 ' tattoo' 7\n47512 ' taught' 7\n47513 ' telesc' 7\n47514 ' temper' 7\n47515 ' temple' 7\n47516 ' tempor' 7\n47517 ' tenant' 7\n47518 ' tended' 7\n47519 ' tender' 7\n47520 ' tendon' 7\n47521 ' tennis' 7\n47522 ' tensor' 7\n47523 ' tenure' 7\n47524 ' tenía' 7\n47525 ' termed' 7\n47526 ' termin' 7\n47527 ' territ' 7\n47528 ' terror' 7\n47529 ' tested' 7\n47530 ' tester' 7\n47531 ' testim' 7\n47532 ' thanks' 7\n47533 ' theirs' 7\n47534 ' themes' 7\n47535 ' theory' 7\n47536 ' therap' 7\n47537 ' thesis' 7\n47538 ' thighs' 7\n47539 ' things' 7\n47540 ' thinks' 7\n47541 ' thinly' 7\n47542 ' thirst' 7\n47543 ' thirty' 7\n47544 ' though' 7\n47545 ' thread' 7\n47546 ' threat' 7\n47547 ' thresh' 7\n47548 ' thrill' 7\n47549 ' thrive' 7\n47550 ' throat' 7\n47551 ' thromb' 7\n47552 ' throne' 7\n47553 ' thrott' 7\n47554 ' thrown' 7\n47555 ' throws' 7\n47556 ' thrust' 7\n47557 ' thumbs' 7\n47558 ' thwart' 7\n47559 ' thành' 7\n47560 ' thông' 7\n47561 ' thực' 7\n47562 ' ticket' 7\n47563 ' tiempo' 7\n47564 ' tienen' 7\n47565 ' tilted' 7\n47566 ' timber' 7\n47567 ' timely' 7\n47568 ' timing' 7\n47569 ' tipped' 7\n47570 ' tissue' 7\n47571 ' titled' 7\n47572 ' titles' 7\n47573 ' toggle' 7\n47574 ' toilet' 7\n47575 ' tokens' 7\n47576 ' tomato' 7\n47577 ' tongue' 7\n47578 ' tonnes' 7\n47579 ' topics' 7\n47580 ' topped' 7\n47581 ' torque' 7\n47582 ' tossed' 7\n47583 ' totals' 7\n47584 ' toutes' 7\n47585 ' toward' 7\n47586 ' towels' 7\n47587 ' towers' 7\n47588 ' toxins' 7\n47589 ' trabaj' 7\n47590 ' trabal' 7\n47591 ' traced' 7\n47592 ' tracer' 7\n47593 ' traces' 7\n47594 ' tracks' 7\n47595 ' traded' 7\n47596 ' trader' 7\n47597 ' trades' 7\n47598 ' traged' 7\n47599 ' tragic' 7\n47600 ' trails' 7\n47601 ' trains' 7\n47602 ' traits' 7\n47603 ' tranqu' 7\n47604 ' transc' 7\n47605 ' transf' 7\n47606 ' transl' 7\n47607 ' transm' 7\n47608 ' trauma' 7\n47609 ' travel' 7\n47610 ' treats' 7\n47611 ' treaty' 7\n47612 ' trench' 7\n47613 ' trends' 7\n47614 ' trials' 7\n47615 ' triang' 7\n47616 ' tribal' 7\n47617 ' tribes' 7\n47618 ' tribut' 7\n47619 ' tricks' 7\n47620 ' tricky' 7\n47621 ' triple' 7\n47622 ' troops' 7\n47623 ' trophy' 7\n47624 ' trough' 7\n47625 ' trouve' 7\n47626 ' trucks' 7\n47627 ' trusts' 7\n47628 ' truths' 7\n47629 ' trying' 7\n47630 ' tubing' 7\n47631 ' tucked' 7\n47632 ' tumors' 7\n47633 ' tumour' 7\n47634 ' tuning' 7\n47635 ' tunnel' 7\n47636 ' tuples' 7\n47637 ' turkey' 7\n47638 ' turned' 7\n47639 ' turtle' 7\n47640 ' tweets' 7\n47641 ' twelve' 7\n47642 ' twenty' 7\n47643 ' twists' 7\n47644 ' typeof' 7\n47645 ' typing' 7\n47646 ' tätig' 7\n47647 ' télé' 7\n47648 ' ubuntu' 7\n47649 ' ultras' 7\n47650 ' unable' 7\n47651 ' unanim' 7\n47652 ' uncomp' 7\n47653 ' unders' 7\n47654 ' undert' 7\n47655 ' uneasy' 7\n47656 ' uneven' 7\n47657 ' unfair' 7\n47658 ' unfold' 7\n47659 ' unions' 7\n47660 ' unique' 7\n47661 ' united' 7\n47662 ' unjust' 7\n47663 ' unless' 7\n47664 ' unlike' 7\n47665 ' unlock' 7\n47666 ' unpack' 7\n47667 ' unpaid' 7\n47668 ' unreal' 7\n47669 ' unrest' 7\n47670 ' unsafe' 7\n47671 ' unseen' 7\n47672 ' unsett' 7\n47673 ' unsure' 7\n47674 ' unused' 7\n47675 ' update' 7\n47676 ' upgrad' 7\n47677 ' upheld' 7\n47678 ' uphold' 7\n47679 ' upload' 7\n47680 ' upside' 7\n47681 ' uptake' 7\n47682 ' upward' 7\n47683 ' urgent' 7\n47684 ' urging' 7\n47685 ' urllib' 7\n47686 ' usable' 7\n47687 ' useful' 7\n47688 ' userId' 7\n47689 ' uterus' 7\n47690 ' utilis' 7\n47691 ' utiliz' 7\n47692 ' utmost' 7\n47693 ' vacant' 7\n47694 ' vacuum' 7\n47695 ' vagina' 7\n47696 ' valeur' 7\n47697 ' valign' 7\n47698 ' valley' 7\n47699 ' valued' 7\n47700 ' values' 7\n47701 ' valves' 7\n47702 ' vandal' 7\n47703 ' vanish' 7\n47704 ' varias' 7\n47705 ' varied' 7\n47706 ' varies' 7\n47707 ' varios' 7\n47708 ' vastly' 7\n47709 ' vector' 7\n47710 ' vendor' 7\n47711 ' ventil' 7\n47712 ' venues' 7\n47713 ' verbal' 7\n47714 ' verify' 7\n47715 ' versch' 7\n47716 ' verses' 7\n47717 ' versus' 7\n47718 ' vertex' 7\n47719 ' vessel' 7\n47720 ' viable' 7\n47721 ' victim' 7\n47722 ' videos' 7\n47723 ' vidéo' 7\n47724 ' viewed' 7\n47725 ' viewer' 7\n47726 ' világ' 7\n47727 ' violet' 7\n47728 ' violin' 7\n47729 ' virgin' 7\n47730 ' virtue' 7\n47731 ' viscos' 7\n47732 ' vision' 7\n47733 ' visits' 7\n47734 ' visual' 7\n47735 ' việc' 7\n47736 ' vocals' 7\n47737 ' voiced' 7\n47738 ' voices' 7\n47739 ' volcan' 7\n47740 ' volley' 7\n47741 ' volont' 7\n47742 ' volume' 7\n47743 ' volunt' 7\n47744 ' vortex' 7\n47745 ' voters' 7\n47746 ' voting' 7\n47747 ' voyage' 7\n47748 ' vulgar' 7\n47749 ' vulner' 7\n47750 ' válto' 7\n47751 ' város' 7\n47752 ' véhic' 7\n47753 ' vérit' 7\n47754 ' vídeo' 7\n47755 ' waited' 7\n47756 ' waiter' 7\n47757 ' waived' 7\n47758 ' waiver' 7\n47759 ' waking' 7\n47760 ' walked' 7\n47761 ' wallet' 7\n47762 ' wander' 7\n47763 ' wanted' 7\n47764 ' warmer' 7\n47765 ' warmth' 7\n47766 ' warned' 7\n47767 ' washed' 7\n47768 ' wasted' 7\n47769 ' wastes' 7\n47770 ' waters' 7\n47771 ' waving' 7\n47772 ' weaken' 7\n47773 ' weaker' 7\n47774 ' weakly' 7\n47775 ' wealth' 7\n47776 ' weapon' 7\n47777 ' weekly' 7\n47778 ' weighs' 7\n47779 ' weight' 7\n47780 ' weiter' 7\n47781 ' welche' 7\n47782 ' werden' 7\n47783 ' whales' 7\n47784 ' wheels' 7\n47785 ' whence' 7\n47786 ' whilst' 7\n47787 ' whisky' 7\n47788 ' whites' 7\n47789 ' wholes' 7\n47790 ' wholly' 7\n47791 ' wicked' 7\n47792 ' widely' 7\n47793 ' widget' 7\n47794 ' widths' 7\n47795 ' wieder' 7\n47796 ' wildly' 7\n47797 ' window' 7\n47798 ' winner' 7\n47799 ' winter' 7\n47800 ' wiping' 7\n47801 ' wiring' 7\n47802 ' wisdom' 7\n47803 ' wisely' 7\n47804 ' wished' 7\n47805 ' wishes' 7\n47806 ' within' 7\n47807 ' wizard' 7\n47808 ' wolves' 7\n47809 ' wonder' 7\n47810 ' wooden' 7\n47811 ' worden' 7\n47812 ' worked' 7\n47813 ' worker' 7\n47814 ' worlds' 7\n47815 ' worthy' 7\n47816 ' wouldn' 7\n47817 ' wounds' 7\n47818 ' writer' 7\n47819 ' writes' 7\n47820 ' wrześ' 7\n47821 ' wurden' 7\n47822 ' würde' 7\n47823 ' yearly' 7\n47824 ' yelled' 7\n47825 ' yellow' 7\n47826 ' yields' 7\n47827 ' yogurt' 7\n47828 ' youths' 7\n47829 ' zombie' 7\n47830 ' zoning' 7\n47831 ' związ' 7\n47832 ' États' 7\n47833 ' Übers' 7\n47834 ' álbum' 7\n47835 ' áreas' 7\n47836 ' écrit' 7\n47837 ' élect' 7\n47838 ' época' 7\n47839 ' équip' 7\n47840 ' établ' 7\n47841 ' était' 7\n47842 ' étant' 7\n47843 ' étudi' 7\n47844 ' évén' 7\n47845 ' éxito' 7\n47846 ' única' 7\n47847 ' único' 7\n47848 ' člán' 7\n47849 ' část' 7\n47850 ' đầu' 7\n47851 ' đến' 7\n47852 ' œuvre' 7\n47853 ' świat' 7\n47854 ' από' 7\n47855 ' για' 7\n47856 ' και' 7\n47857 ' την' 7\n47858 ' της' 7\n47859 ' του' 7\n47860 ' Аль' 7\n47861 ' Ана' 7\n47862 ' Анд' 7\n47863 ' Бар' 7\n47864 ' Бер' 7\n47865 ' Бра' 7\n47866 ' Бри' 7\n47867 ' Вар' 7\n47868 ' Вер' 7\n47869 ' Вла' 7\n47870 ' Вол' 7\n47871 ' Все' 7\n47872 ' Від' 7\n47873 ' Він' 7\n47874 ' Ген' 7\n47875 ' Гер' 7\n47876 ' Гор' 7\n47877 ' Гра' 7\n47878 ' Гре' 7\n47879 ' Гри' 7\n47880 ' Дже' 7\n47881 ' Див' 7\n47882 ' Для' 7\n47883 ' Дми' 7\n47884 ' Дру' 7\n47885 ' Его' 7\n47886 ' Кар' 7\n47887 ' Ком' 7\n47888 ' Кон' 7\n47889 ' Кор' 7\n47890 ' Кра' 7\n47891 ' Кри' 7\n47892 ' Кур' 7\n47893 ' Лон' 7\n47894 ' Льв' 7\n47895 ' Май' 7\n47896 ' Мак' 7\n47897 ' Мар' 7\n47898 ' Мон' 7\n47899 ' Мор' 7\n47900 ' Мос' 7\n47901 ' Нау' 7\n47902 ' Нов' 7\n47903 ' Нор' 7\n47904 ' Нью' 7\n47905 ' Оте' 7\n47906 ' Пав' 7\n47907 ' Пар' 7\n47908 ' Пер' 7\n47909 ' Пет' 7\n47910 ' Под' 7\n47911 ' Пор' 7\n47912 ' Пра' 7\n47913 ' Пре' 7\n47914 ' При' 7\n47915 ' Про' 7\n47916 ' Пів' 7\n47917 ' Під' 7\n47918 ' Раз' 7\n47919 ' Рас' 7\n47920 ' Рес' 7\n47921 ' Роб' 7\n47922 ' Роз' 7\n47923 ' Рос' 7\n47924 ' Рус' 7\n47925 ' США' 7\n47926 ' Сан' 7\n47927 ' Свя' 7\n47928 ' Сер' 7\n47929 ' Сов' 7\n47930 ' Спо' 7\n47931 ' Ста' 7\n47932 ' Сте' 7\n47933 ' Так' 7\n47934 ' Тер' 7\n47935 ' Тре' 7\n47936 ' Три' 7\n47937 ' Тур' 7\n47938 ' Хар' 7\n47939 ' Хро' 7\n47940 ' Чем' 7\n47941 ' Чер' 7\n47942 ' Это' 7\n47943 ' або' 7\n47944 ' акт' 7\n47945 ' але' 7\n47946 ' аль' 7\n47947 ' ана' 7\n47948 ' анг' 7\n47949 ' бан' 7\n47950 ' без' 7\n47951 ' био' 7\n47952 ' бли' 7\n47953 ' бор' 7\n47954 ' бра' 7\n47955 ' бри' 7\n47956 ' бро' 7\n47957 ' був' 7\n47958 ' буд' 7\n47959 ' был' 7\n47960 ' важ' 7\n47961 ' вер' 7\n47962 ' взя' 7\n47963 ' вид' 7\n47964 ' вла' 7\n47965 ' вме' 7\n47966 ' вне' 7\n47967 ' воз' 7\n47968 ' вой' 7\n47969 ' вос' 7\n47970 ' вра' 7\n47971 ' вре' 7\n47972 ' все' 7\n47973 ' всі' 7\n47974 ' вто' 7\n47975 ' від' 7\n47976 ' вій' 7\n47977 ' він' 7\n47978 ' где' 7\n47979 ' гер' 7\n47980 ' гла' 7\n47981 ' год' 7\n47982 ' гор' 7\n47983 ' гра' 7\n47984 ' гре' 7\n47985 ' гру' 7\n47986 ' дан' 7\n47987 ' два' 7\n47988 ' две' 7\n47989 ' дви' 7\n47990 ' дво' 7\n47991 ' дву' 7\n47992 ' дей' 7\n47993 ' дет' 7\n47994 ' дея' 7\n47995 ' диа' 7\n47996 ' для' 7\n47997 ' дов' 7\n47998 ' дол' 7\n47999 ' дра' 7\n48000 ' дру' 7\n48001 ' дія' 7\n48002 ' его' 7\n48003 ' еди' 7\n48004 ' ему' 7\n48005 ' ещё' 7\n48006 ' жен' 7\n48007 ' жов' 7\n48008 ' зав' 7\n48009 ' зад' 7\n48010 ' зай' 7\n48011 ' зак' 7\n48012 ' зан' 7\n48013 ' зап' 7\n48014 ' зву' 7\n48015 ' зда' 7\n48016 ' зем' 7\n48017 ' змі' 7\n48018 ' зна' 7\n48019 ' иде' 7\n48020 ' изу' 7\n48021 ' или' 7\n48022 ' има' 7\n48023 ' име' 7\n48024 ' исп' 7\n48025 ' как' 7\n48026 ' кам' 7\n48027 ' кан' 7\n48028 ' као' 7\n48029 ' кар' 7\n48030 ' кла' 7\n48031 ' кли' 7\n48032 ' клу' 7\n48033 ' кни' 7\n48034 ' кня' 7\n48035 ' кол' 7\n48036 ' ком' 7\n48037 ' кон' 7\n48038 ' кор' 7\n48039 ' кра' 7\n48040 ' кре' 7\n48041 ' кри' 7\n48042 ' кур' 7\n48043 ' лет' 7\n48044 ' луч' 7\n48045 ' май' 7\n48046 ' мар' 7\n48047 ' мат' 7\n48048 ' мая' 7\n48049 ' має' 7\n48050 ' мен' 7\n48051 ' мет' 7\n48052 ' мно' 7\n48053 ' мож' 7\n48054 ' мор' 7\n48055 ' муж' 7\n48056 ' між' 7\n48057 ' міс' 7\n48058 ' нав' 7\n48059 ' над' 7\n48060 ' наи' 7\n48061 ' най' 7\n48062 ' нап' 7\n48063 ' нау' 7\n48064 ' нај' 7\n48065 ' ней' 7\n48066 ' них' 7\n48067 ' нов' 7\n48068 ' нор' 7\n48069 ' нуж' 7\n48070 ' оби' 7\n48071 ' обо' 7\n48072 ' обу' 7\n48073 ' объ' 7\n48074 ' обы' 7\n48075 ' окт' 7\n48076 ' она' 7\n48077 ' они' 7\n48078 ' ори' 7\n48079 ' ору' 7\n48080 ' осо' 7\n48081 ' ост' 7\n48082 ' осу' 7\n48083 ' още' 7\n48084 ' пар' 7\n48085 ' пер' 7\n48086 ' пес' 7\n48087 ' пла' 7\n48088 ' пло' 7\n48089 ' пов' 7\n48090 ' под' 7\n48091 ' пол' 7\n48092 ' пом' 7\n48093 ' пор' 7\n48094 ' пос' 7\n48095 ' пот' 7\n48096 ' поч' 7\n48097 ' поэ' 7\n48098 ' поя' 7\n48099 ' пра' 7\n48100 ' пре' 7\n48101 ' при' 7\n48102 ' про' 7\n48103 ' пря' 7\n48104 ' пси' 7\n48105 ' пун' 7\n48106 ' пів' 7\n48107 ' під' 7\n48108 ' раз' 7\n48109 ' рай' 7\n48110 ' ран' 7\n48111 ' рас' 7\n48112 ' реа' 7\n48113 ' ред' 7\n48114 ' род' 7\n48115 ' роз' 7\n48116 ' рос' 7\n48117 ' рус' 7\n48118 ' рів' 7\n48119 ' різ' 7\n48120 ' рік' 7\n48121 ' сай' 7\n48122 ' сам' 7\n48123 ' све' 7\n48124 ' сви' 7\n48125 ' сво' 7\n48126 ' свя' 7\n48127 ' сві' 7\n48128 ' сез' 7\n48129 ' сем' 7\n48130 ' сер' 7\n48131 ' сим' 7\n48132 ' син' 7\n48133 ' ско' 7\n48134 ' сла' 7\n48135 ' сле' 7\n48136 ' сло' 7\n48137 ' слу' 7\n48138 ' соб' 7\n48139 ' сов' 7\n48140 ' сот' 7\n48141 ' спе' 7\n48142 ' спи' 7\n48143 ' спо' 7\n48144 ' сра' 7\n48145 ' сре' 7\n48146 ' ста' 7\n48147 ' сте' 7\n48148 ' сти' 7\n48149 ' сто' 7\n48150 ' сту' 7\n48151 ' так' 7\n48152 ' там' 7\n48153 ' тан' 7\n48154 ' теа' 7\n48155 ' тек' 7\n48156 ' тем' 7\n48157 ' тео' 7\n48158 ' тер' 7\n48159 ' тех' 7\n48160 ' той' 7\n48161 ' том' 7\n48162 ' тор' 7\n48163 ' тра' 7\n48164 ' тре' 7\n48165 ' три' 7\n48166 ' тро' 7\n48167 ' тру' 7\n48168 ' тур' 7\n48169 ' уби' 7\n48170 ' уда' 7\n48171 ' уез' 7\n48172 ' уже' 7\n48173 ' ули' 7\n48174 ' уни' 7\n48175 ' уні' 7\n48176 ' упо' 7\n48177 ' уча' 7\n48178 ' уче' 7\n48179 ' учи' 7\n48180 ' учё' 7\n48181 ' фай' 7\n48182 ' фев' 7\n48183 ' фло' 7\n48184 ' фон' 7\n48185 ' фор' 7\n48186 ' хра' 7\n48187 ' цар' 7\n48188 ' цер' 7\n48189 ' час' 7\n48190 ' чем' 7\n48191 ' чер' 7\n48192 ' чис' 7\n48193 ' что' 7\n48194 ' шко' 7\n48195 ' шта' 7\n48196 ' што' 7\n48197 ' экс' 7\n48198 ' эта' 7\n48199 ' эти' 7\n48200 ' это' 7\n48201 ' юго' 7\n48202 ' язы' 7\n48203 ' яка' 7\n48204 ' які' 7\n48205 ' још' 7\n48206 ' است' 7\n48207 ' الأ' 7\n48208 ' الت' 7\n48209 ' الع' 7\n48210 ' الم' 7\n48211 ' بال' 7\n48212 ' وال' 7\n48213 ' ‘‘' 7\n48214 ' “…' 7\n48215 ' ′′' 7\n48216 ' −→' 7\n48217 ' 가능' 7\n48218 ' 가장' 7\n48219 ' 가지' 7\n48220 ' 감독' 7\n48221 ' 강원' 7\n48222 ' 강추' 7\n48223 ' 같은' 7\n48224 ' 개인' 7\n48225 ' 것으' 7\n48226 ' 것은' 7\n48227 ' 것을' 7\n48228 ' 것이' 7\n48229 ' 게임' 7\n48230 ' 경기' 7\n48231 ' 경남' 7\n48232 ' 경북' 7\n48233 ' 경우' 7\n48234 ' 관련' 7\n48235 ' 국가' 7\n48236 ' 그는' 7\n48237 ' 그러' 7\n48238 ' 그리' 7\n48239 ' 그의' 7\n48240 ' 기록' 7\n48241 ' 내용' 7\n48242 ' 다른' 7\n48243 ' 다시' 7\n48244 ' 다음' 7\n48245 ' 당시' 7\n48246 ' 대학' 7\n48247 ' 대한' 7\n48248 ' 대해' 7\n48249 ' 덤프' 7\n48250 ' 되었' 7\n48251 ' 된다' 7\n48252 ' 들어' 7\n48253 ' 따라' 7\n48254 ' 때문' 7\n48255 ' 또는' 7\n48256 ' 또한' 7\n48257 ' 리뷰' 7\n48258 ' 링크' 7\n48259 ' 만들' 7\n48260 ' 많은' 7\n48261 ' 모두' 7\n48262 ' 모든' 7\n48263 ' 문제' 7\n48264 ' 미국' 7\n48265 ' 방송' 7\n48266 ' 부산' 7\n48267 ' 사람' 7\n48268 ' 사용' 7\n48269 ' 사이' 7\n48270 ' 사회' 7\n48271 ' 생각' 7\n48272 ' 서비' 7\n48273 ' 서울' 7\n48274 ' 선수' 7\n48275 ' 세계' 7\n48276 ' 시간' 7\n48277 ' 시작' 7\n48278 ' 시즌' 7\n48279 ' 아니' 7\n48280 ' 아이' 7\n48281 ' 없는' 7\n48282 ' 연구' 7\n48283 ' 영화' 7\n48284 ' 우리' 7\n48285 ' 위한' 7\n48286 ' 위해' 7\n48287 ' 의해' 7\n48288 ' 이름' 7\n48289 ' 이상' 7\n48290 ' 이용' 7\n48291 ' 이후' 7\n48292 ' 인천' 7\n48293 ' 일본' 7\n48294 ' 일부' 7\n48295 ' 있는' 7\n48296 ' 있다' 7\n48297 ' 있습' 7\n48298 ' 있었' 7\n48299 ' 있으' 7\n48300 ' 자신' 7\n48301 ' 작품' 7\n48302 ' 전남' 7\n48303 ' 정보' 7\n48304 ' 제공' 7\n48305 ' 조선' 7\n48306 ' 좋아' 7\n48307 ' 좋은' 7\n48308 ' 지난' 7\n48309 ' 지역' 7\n48310 ' 추천' 7\n48311 ' 축구' 7\n48312 ' 출장' 7\n48313 ' 충남' 7\n48314 ' 통해' 7\n48315 ' 포함' 7\n48316 ' 프랑' 7\n48317 ' 프로' 7\n48318 ' 필요' 7\n48319 ' 하고' 7\n48320 ' 하나' 7\n48321 ' 하는' 7\n48322 ' 하였' 7\n48323 ' 하지' 7\n48324 ' 한국' 7\n48325 ' 한다' 7\n48326 ' 함께' 7\n48327 ' 합니' 7\n48328 ' 했다' 7\n48329 ' 현재' 7\n48330 ' 확인' 7\n48331 ' 활동' 7\n48332 ' 회사' 7\n48333 ' 회원' 7\n48334 ' 후기' 7\n48335 '#######' 7\n48336 \"'était\" 7\n48337 '*******' 7\n48338 ',’’' 7\n48339 ',’”' 7\n48340 '------+' 7\n48341 '-------' 7\n48342 '.......' 7\n48343 '.’”' 7\n48344 '=======' 7\n48345 'ABILITY' 7\n48346 'ADDRESS' 7\n48347 'ATIONAL' 7\n48348 'Account' 7\n48349 'Actions' 7\n48350 'Adapter' 7\n48351 'Address' 7\n48352 'African' 7\n48353 'Allowed' 7\n48354 'Already' 7\n48355 'America' 7\n48356 'Android' 7\n48357 'Angular' 7\n48358 'Another' 7\n48359 'Anthony' 7\n48360 'Applied' 7\n48361 'Archive' 7\n48362 'Article' 7\n48363 'AtIndex' 7\n48364 'Attempt' 7\n48365 'Austral' 7\n48366 'Authors' 7\n48367 'Average' 7\n48368 'BOOLEAN' 7\n48369 'Backend' 7\n48370 'Balance' 7\n48371 'Because' 7\n48372 'Besides' 7\n48373 'Between' 7\n48374 'Binding' 7\n48375 'Boolean' 7\n48376 'British' 7\n48377 'Browser' 7\n48378 'Builder' 7\n48379 'Buttons' 7\n48380 'CASCADE' 7\n48381 'CHANNEL' 7\n48382 'CHAPTER' 7\n48383 'CLUDING' 7\n48384 'COMMAND' 7\n48385 'COMMENT' 7\n48386 'CONNECT' 7\n48387 'CONTROL' 7\n48388 'CREMENT' 7\n48389 'CURRENT' 7\n48390 'Calling' 7\n48391 'Capital' 7\n48392 'Captain' 7\n48393 'Caption' 7\n48394 'Capture' 7\n48395 'Catalog' 7\n48396 'Central' 7\n48397 'Changed' 7\n48398 'Changes' 7\n48399 'Channel' 7\n48400 'Chapter' 7\n48401 'Charles' 7\n48402 'Charlie' 7\n48403 'Charset' 7\n48404 'Checked' 7\n48405 'Checker' 7\n48406 'Chicago' 7\n48407 'Chinese' 7\n48408 'Chooser' 7\n48409 'Classes' 7\n48410 'Classic' 7\n48411 'Cleanup' 7\n48412 'Clearly' 7\n48413 'Clicked' 7\n48414 'Clients' 7\n48415 'Closure' 7\n48416 'Cluster' 7\n48417 'Collect' 7\n48418 'College' 7\n48419 'Columns' 7\n48420 'Combine' 7\n48421 'Command' 7\n48422 'Comment' 7\n48423 'Company' 7\n48424 'Compare' 7\n48425 'Compile' 7\n48426 'Complex' 7\n48427 'Compose' 7\n48428 'Compute' 7\n48429 'Concept' 7\n48430 'Confirm' 7\n48431 'Connect' 7\n48432 'Connell' 7\n48433 'Console' 7\n48434 'Consult' 7\n48435 'Contact' 7\n48436 'Contain' 7\n48437 'Content' 7\n48438 'Context' 7\n48439 'Contrib' 7\n48440 'Control' 7\n48441 'Convert' 7\n48442 'Cookies' 7\n48443 'Correct' 7\n48444 'Counter' 7\n48445 'Country' 7\n48446 'Created' 7\n48447 'Creator' 7\n48448 'Culture' 7\n48449 'Current' 7\n48450 'DECLARE' 7\n48451 'DEFAULT' 7\n48452 'DISPLAY' 7\n48453 'DOCTYPE' 7\n48454 'DataSet' 7\n48455 'Dataset' 7\n48456 'Decimal' 7\n48457 'Declare' 7\n48458 'Decoder' 7\n48459 'Default' 7\n48460 'Defined' 7\n48461 'Deleted' 7\n48462 'Density' 7\n48463 'Derived' 7\n48464 'Desktop' 7\n48465 'Despite' 7\n48466 'Destroy' 7\n48467 'Details' 7\n48468 'Develop' 7\n48469 'Devices' 7\n48470 'DidLoad' 7\n48471 'Digital' 7\n48472 'Disable' 7\n48473 'Display' 7\n48474 'Drawing' 7\n48475 'Dropout' 7\n48476 'Dynamic' 7\n48477 'ELEMENT' 7\n48478 'Earlier' 7\n48479 'Eastern' 7\n48480 'Effects' 7\n48481 'Element' 7\n48482 'Emitter' 7\n48483 'Enabled' 7\n48484 'Encoder' 7\n48485 'Encrypt' 7\n48486 'England' 7\n48487 'English' 7\n48488 'Entries' 7\n48489 'Entropy' 7\n48490 'Episode' 7\n48491 'Exactly' 7\n48492 'Example' 7\n48493 'Exclude' 7\n48494 'Execute' 7\n48495 'Express' 7\n48496 'Extract' 7\n48497 'FAILURE' 7\n48498 'FEATURE' 7\n48499 'Factory' 7\n48500 'Failure' 7\n48501 'Feature' 7\n48502 'Federal' 7\n48503 'Filters' 7\n48504 'Finally' 7\n48505 'Finance' 7\n48506 'Finding' 7\n48507 'Firefox' 7\n48508 'Fixture' 7\n48509 'Florida' 7\n48510 'Foreign' 7\n48511 'Formats' 7\n48512 'Formula' 7\n48513 'Forward' 7\n48514 'Friends' 7\n48515 'Further' 7\n48516 'Gallery' 7\n48517 'Gateway' 7\n48518 'General' 7\n48519 'Generic' 7\n48520 'Germany' 7\n48521 'Gesture' 7\n48522 'Getting' 7\n48523 'Globals' 7\n48524 'Graphic' 7\n48525 'Greater' 7\n48526 'Handler' 7\n48527 'HashMap' 7\n48528 'Headers' 7\n48529 'Heading' 7\n48530 'Helpers' 7\n48531 'History' 7\n48532 'Houston' 7\n48533 'However' 7\n48534 'IBILITY' 7\n48535 'ICATION' 7\n48536 'INCLUDE' 7\n48537 'INSTALL' 7\n48538 'INTEGER' 7\n48539 'INVALID' 7\n48540 'IZATION' 7\n48541 'Illegal' 7\n48542 'Imagine' 7\n48543 'Include' 7\n48544 'Indexed' 7\n48545 'Indexes' 7\n48546 'Indices' 7\n48547 'Initial' 7\n48548 'Install' 7\n48549 'Instead' 7\n48550 'Integer' 7\n48551 'Invalid' 7\n48552 'Inverse' 7\n48553 'Invoice' 7\n48554 'Italian' 7\n48555 'Jackson' 7\n48556 'January' 7\n48557 'Jessica' 7\n48558 'Johnson' 7\n48559 'Journal' 7\n48560 'Justice' 7\n48561 'Keyword' 7\n48562 'LICENSE' 7\n48563 'Library' 7\n48564 'License' 7\n48565 'Listing' 7\n48566 'Literal' 7\n48567 'Loading' 7\n48568 'Locator' 7\n48569 'Logging' 7\n48570 'Logical' 7\n48571 'Looking' 7\n48572 'MESSAGE' 7\n48573 'MISSION' 7\n48574 'Machine' 7\n48575 'Managed' 7\n48576 'Manager' 7\n48577 'Mapping' 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'Stretch' 7\n48736 'Strings' 7\n48737 'Student' 7\n48738 'Studies' 7\n48739 'Subject' 7\n48740 'Subview' 7\n48741 'Success' 7\n48742 'Suggest' 7\n48743 'Summary' 7\n48744 'Support' 7\n48745 'Suppose' 7\n48746 'Surface' 7\n48747 'Symbols' 7\n48748 'TEXTURE' 7\n48749 'TagName' 7\n48750 'Targets' 7\n48751 'Testing' 7\n48752 'TextBox' 7\n48753 'Texture' 7\n48754 'Threads' 7\n48755 'Through' 7\n48756 'Timeout' 7\n48757 'ToolBar' 7\n48758 'ToolTip' 7\n48759 'Toolbar' 7\n48760 'Tooltip' 7\n48761 'Torrent' 7\n48762 'Tracker' 7\n48763 'Traffic' 7\n48764 'Trigger' 7\n48765 'Tuesday' 7\n48766 'Twitter' 7\n48767 'UIImage' 7\n48768 'UNCTION' 7\n48769 'UNKNOWN' 7\n48770 'URATION' 7\n48771 'Unicode' 7\n48772 'Uniform' 7\n48773 'Univers' 7\n48774 'Unknown' 7\n48775 'Updated' 7\n48776 'Updates' 7\n48777 'Upgrade' 7\n48778 'Usually' 7\n48779 'Utility' 7\n48780 'VARCHAR' 7\n48781 'VERSION' 7\n48782 'VISIBLE' 7\n48783 'Variant' 7\n48784 'Various' 7\n48785 'Vehicle' 7\n48786 'Version' 7\n48787 'Virtual' 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7\n49313 'ishment' 7\n49314 'isphere' 7\n49315 'issance' 7\n49316 'issions' 7\n49317 'issippi' 7\n49318 'istance' 7\n49319 'istence' 7\n49320 'istency' 7\n49321 'istical' 7\n49322 'istique' 7\n49323 'istrict' 7\n49324 'itarian' 7\n49325 'itating' 7\n49326 'itation' 7\n49327 'itative' 7\n49328 'itement' 7\n49329 'iterate' 7\n49330 'itimate' 7\n49331 'itional' 7\n49332 'itivity' 7\n49333 'itories' 7\n49334 'itution' 7\n49335 'ivalent' 7\n49336 'ivation' 7\n49337 'ivement' 7\n49338 'iveness' 7\n49339 'ivering' 7\n49340 'iversal' 7\n49341 'ividual' 7\n49342 'ivities' 7\n49343 'izabeth' 7\n49344 'ization' 7\n49345 'izontal' 7\n49346 'ições' 7\n49347 'jection' 7\n49348 'jective' 7\n49349 'jectory' 7\n49350 'joining' 7\n49351 'journal' 7\n49352 'justice' 7\n49353 'justify' 7\n49354 'keepers' 7\n49355 'keeping' 7\n49356 'keletal' 7\n49357 'keleton' 7\n49358 'keyword' 7\n49359 'klahoma' 7\n49360 'któber' 7\n49361 'labeled' 7\n49362 'landers' 7\n49363 'largest' 7\n49364 'lasting' 7\n49365 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7\n49418 'missing' 7\n49419 'mission' 7\n49420 'missive' 7\n49421 'modules' 7\n49422 'mongodb' 7\n49423 'monitor' 7\n49424 'monthly' 7\n49425 'mounted' 7\n49426 'mozilla' 7\n49427 'mutable' 7\n49428 'naments' 7\n49429 'napshot' 7\n49430 'natural' 7\n49431 'ndarray' 7\n49432 'nearest' 7\n49433 'nection' 7\n49434 'network' 7\n49435 'neutral' 7\n49436 'newline' 7\n49437 'nothing' 7\n49438 'noticed' 7\n49439 'numbers' 7\n49440 'numeric' 7\n49441 'obacter' 7\n49442 'obierno' 7\n49443 'objects' 7\n49444 'observe' 7\n49445 'ocation' 7\n49446 'ococcus' 7\n49447 'ocolate' 7\n49448 'ocrates' 7\n49449 'ocratic' 7\n49450 'ocument' 7\n49451 'ogenous' 7\n49452 'ogether' 7\n49453 'oglobin' 7\n49454 'ografia' 7\n49455 'ographs' 7\n49456 'ography' 7\n49457 'olation' 7\n49458 'olecule' 7\n49459 'olithic' 7\n49460 'ologies' 7\n49461 'ologist' 7\n49462 'ología' 7\n49463 'olutely' 7\n49464 'olution' 7\n49465 'ometers' 7\n49466 'ometown' 7\n49467 'ometric' 7\n49468 'onclick' 7\n49469 'ongyang' 7\n49470 'onnées' 7\n49471 'onomous' 7\n49472 'onsieur' 7\n49473 'onymous' 7\n49474 'opacity' 7\n49475 'opathic' 7\n49476 'opening' 7\n49477 'openssl' 7\n49478 'operand' 7\n49479 'ophobia' 7\n49480 'opoulos' 7\n49481 'optimal' 7\n49482 'options' 7\n49483 'oration' 7\n49484 'ordable' 7\n49485 'ordered' 7\n49486 'ordinal' 7\n49487 'organic' 7\n49488 'orphism' 7\n49489 'orption' 7\n49490 'ország' 7\n49491 'oscopic' 7\n49492 'osevelt' 7\n49493 'osexual' 7\n49494 'osition' 7\n49495 'ository' 7\n49496 'osphere' 7\n49497 'ospital' 7\n49498 'ossible' 7\n49499 'ostream' 7\n49500 'otional' 7\n49501 'otropic' 7\n49502 'otyping' 7\n49503 'ouncing' 7\n49504 'ounding' 7\n49505 'ountain' 7\n49506 'ourcing' 7\n49507 'ousands' 7\n49508 'outcome' 7\n49509 'outfile' 7\n49510 'outline' 7\n49511 'outputs' 7\n49512 'outside' 7\n49513 'ovember' 7\n49514 'overall' 7\n49515 'overlap' 7\n49516 'overlay' 7\n49517 'ování' 7\n49518 'package' 7\n49519 'packing' 7\n49520 'padding' 7\n49521 'palette' 7\n49522 'parable' 7\n49523 'parency' 7\n49524 'parents' 7\n49525 'parison' 7\n49526 'partial' 7\n49527 'partner' 7\n49528 'patient' 7\n49529 'patrick' 7\n49530 'pattern' 7\n49531 'payload' 7\n49532 'payment' 7\n49533 'pecific' 7\n49534 'pection' 7\n49535 'pective' 7\n49536 'pending' 7\n49537 'peptide' 7\n49538 'percent' 7\n49539 'perfect' 7\n49540 'perform' 7\n49541 'perhaps' 7\n49542 'persist' 7\n49543 'perties' 7\n49544 'perturb' 7\n49545 'phantom' 7\n49546 'physics' 7\n49547 'picture' 7\n49548 'placing' 7\n49549 'planned' 7\n49550 'players' 7\n49551 'playing' 7\n49552 'plement' 7\n49553 'pletion' 7\n49554 'plicate' 7\n49555 'plotlib' 7\n49556 'plugins' 7\n49557 'pmatrix' 7\n49558 'pointer' 7\n49559 'pokemon' 7\n49560 'polygon' 7\n49561 'polymer' 7\n49562 'ponents' 7\n49563 'pooling' 7\n49564 'popular' 7\n49565 'portion' 7\n49566 'posable' 7\n49567 'powered' 7\n49568 'predict' 7\n49569 'preload' 7\n49570 'premium' 7\n49571 'prepare' 7\n49572 'prepend' 7\n49573 'present' 7\n49574 'pressed' 7\n49575 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7\n49628 'related' 7\n49629 'release' 7\n49630 'removed' 7\n49631 'renched' 7\n49632 'replace' 7\n49633 'reports' 7\n49634 'requent' 7\n49635 'request' 7\n49636 'require' 7\n49637 'resents' 7\n49638 'reserve' 7\n49639 'reshape' 7\n49640 'reshold' 7\n49641 'residue' 7\n49642 'resolve' 7\n49643 'respect' 7\n49644 'respond' 7\n49645 'respons' 7\n49646 'ressing' 7\n49647 'ression' 7\n49648 'ressive' 7\n49649 'restart' 7\n49650 'restore' 7\n49651 'results' 7\n49652 'retched' 7\n49653 'returns' 7\n49654 'reverse' 7\n49655 'reviews' 7\n49656 'rewrite' 7\n49657 'ributed' 7\n49658 'ributes' 7\n49659 'ricanes' 7\n49660 'riction' 7\n49661 'ricular' 7\n49662 'riculum' 7\n49663 'riminal' 7\n49664 'riority' 7\n49665 'ritical' 7\n49666 'rollers' 7\n49667 'rolling' 7\n49668 'ropical' 7\n49669 'ropolis' 7\n49670 'rounded' 7\n49671 'routine' 7\n49672 'routing' 7\n49673 'ruction' 7\n49674 'running' 7\n49675 'runtime' 7\n49676 'ruption' 7\n49677 'ryption' 7\n49678 'ríguez' 7\n49679 'sampler' 7\n49680 'samples' 7\n49681 'scaling' 7\n49682 'scanner' 7\n49683 'scatter' 7\n49684 'schemas' 7\n49685 'science' 7\n49686 'scratch' 7\n49687 'scribed' 7\n49688 'scriber' 7\n49689 'scripts' 7\n49690 'seconds' 7\n49691 'section' 7\n49692 'segment' 7\n49693 'selling' 7\n49694 'sequent' 7\n49695 'serious' 7\n49696 'servers' 7\n49697 'service' 7\n49698 'serving' 7\n49699 'servlet' 7\n49700 'session' 7\n49701 'setFont' 7\n49702 'setName' 7\n49703 'setSize' 7\n49704 'setText' 7\n49705 'setattr' 7\n49706 'setting' 7\n49707 'sharing' 7\n49708 'shifted' 7\n49709 'shuffle' 7\n49710 'sidebar' 7\n49711 'sigmoid' 7\n49712 'similar' 7\n49713 'smaller' 7\n49714 'snippet' 7\n49715 'softmax' 7\n49716 'sources' 7\n49717 'spacing' 7\n49718 'speaker' 7\n49719 'special' 7\n49720 'species' 7\n49721 'spinner' 7\n49722 'sponsor' 7\n49723 'squared' 7\n49724 'squeeze' 7\n49725 'stanbul' 7\n49726 'stances' 7\n49727 'started' 7\n49728 'starter' 7\n49729 'startup' 7\n49730 'station' 7\n49731 'stellar' 7\n49732 'stellen' 7\n49733 'sterdam' 7\n49734 'stitial' 7\n49735 'stitute' 7\n49736 'stopped' 7\n49737 'storage' 7\n49738 'straße' 7\n49739 'stretch' 7\n49740 'strings' 7\n49741 'student' 7\n49742 'subject' 7\n49743 'subplot' 7\n49744 'success' 7\n49745 'suggest' 7\n49746 'summary' 7\n49747 'support' 7\n49748 'surface' 7\n49749 'symbols' 7\n49750 'systems' 7\n49751 'tabular' 7\n49752 'targets' 7\n49753 'teacher' 7\n49754 'testing' 7\n49755 'texture' 7\n49756 'theless' 7\n49757 'theorem' 7\n49758 'thermal' 7\n49759 'thought' 7\n49760 'threads' 7\n49761 'through' 7\n49762 'timeout' 7\n49763 'tingham' 7\n49764 'tlement' 7\n49765 'toolbar' 7\n49766 'tooltip' 7\n49767 'tracker' 7\n49768 'tractor' 7\n49769 'trained' 7\n49770 'trainer' 7\n49771 'treated' 7\n49772 'tribute' 7\n49773 'trigger' 7\n49774 'trivial' 7\n49775 'twitter' 7\n49776 'typedef' 7\n49777 'uations' 7\n49778 'uação' 7\n49779 'ucción' 7\n49780 'uckland' 7\n49781 'uctions' 7\n49782 'uetooth' 7\n49783 'uggling' 7\n49784 'ughters' 7\n49785 'uitable' 7\n49786 'uição' 7\n49787 'ularity' 7\n49788 'ulating' 7\n49789 'ulation' 7\n49790 'ulative' 7\n49791 'ulators' 7\n49792 'ulatory' 7\n49793 'ullivan' 7\n49794 'ulously' 7\n49795 'ultural' 7\n49796 'umbling' 7\n49797 'umbnail' 7\n49798 'umption' 7\n49799 'unction' 7\n49800 'uncture' 7\n49801 'undreds' 7\n49802 'unicode' 7\n49803 'uniform' 7\n49804 'univers' 7\n49805 'unknown' 7\n49806 'unnable' 7\n49807 'updated' 7\n49808 'updates' 7\n49809 'upgrade' 7\n49810 'uploads' 7\n49811 'urança' 7\n49812 'uration' 7\n49813 'urchase' 7\n49814 'urement' 7\n49815 'urgical' 7\n49816 'uristic' 7\n49817 'urities' 7\n49818 'urrence' 7\n49819 'urrency' 7\n49820 'uscript' 7\n49821 'usement' 7\n49822 'usiness' 7\n49823 'ussions' 7\n49824 'ustomed' 7\n49825 'ustrial' 7\n49826 'usually' 7\n49827 'usuario' 7\n49828 'utation' 7\n49829 'utenant' 7\n49830 'utility' 7\n49831 'utorial' 7\n49832 'uttgart' 7\n49833 'valence' 7\n49834 'valueOf' 7\n49835 'varchar' 7\n49836 'variant' 7\n49837 'vectors' 7\n49838 'vehicle' 7\n49839 'vention' 7\n49840 'ventory' 7\n49841 'venture' 7\n49842 'verages' 7\n49843 'verbose' 7\n49844 'version' 7\n49845 'verting' 7\n49846 'viation' 7\n49847 'violent' 7\n49848 'viously' 7\n49849 'virtual' 7\n49850 'visible' 7\n49851 'visions' 7\n49852 'visitor' 7\n49853 'voltage' 7\n49854 'völker' 7\n49855 'waitFor' 7\n49856 'waiting' 7\n49857 'warning' 7\n49858 'weather' 7\n49859 'webpack' 7\n49860 'website' 7\n49861 'weekday' 7\n49862 'weights' 7\n49863 'welcome' 7\n49864 'western' 7\n49865 'whether' 7\n49866 'widehat' 7\n49867 'widgets' 7\n49868 'windows' 7\n49869 'without' 7\n49870 'workers' 7\n49871 'working' 7\n49872 'wrapped' 7\n49873 'wrapper' 7\n49874 'writers' 7\n49875 'writing' 7\n49876 'written' 7\n49877 'ylation' 7\n49878 'ylvania' 7\n49879 'ynamics' 7\n49880 'ynchron' 7\n49881 'ynomial' 7\n49882 'youtube' 7\n49883 'zbollah' 7\n49884 'zheimer' 7\n49885 'ßerdem' 7\n49886 'ágenes' 7\n49887 'ánchez' 7\n49888 'ándose' 7\n49889 'ástica' 7\n49890 'áticas' 7\n49891 'ázquez' 7\n49892 'ädchen' 7\n49893 'ährend' 7\n49894 'ències' 7\n49895 'économ' 7\n49896 'église' 7\n49897 'éments' 7\n49898 'énario' 7\n49899 'époque' 7\n49900 'équipe' 7\n49901 'ército' 7\n49902 'érieur' 7\n49903 'érique' 7\n49904 'étique' 7\n49905 'évrier' 7\n49906 'ências' 7\n49907 'ículos' 7\n49908 'ística' 7\n49909 'öffent' 7\n49910 'öglich' 7\n49911 'ública' 7\n49912 'ührung' 7\n49913 'üsseld' 7\n49914 'ńskiej' 7\n49915 'œuvres' 7\n49916 'ździer' 7\n49917 'ường' 7\n49918 'ượng' 7\n49919 '\\t\\t\\t\\t\\t\\t\\t\\t' 8\n49920 '\\n\\t\\t\\t\\t\\t\\t\\t' 8\n49921 '\\n\\n\\n\\n\\n\\n\\n\\n' 8\n49922 '\\n\\n      ' 8\n49923 '\\n       ' 8\n49924 '\\r\\n\\r\\n\\r\\n\\r\\n' 8\n49925 '\\r\\n      ' 8\n49926 ' \\n      ' 8\n49927 '        ' 8\n49928 ' -------' 8\n49929 ' ARISING' 8\n49930 ' Ability' 8\n49931 ' Abraham' 8\n49932 ' Academy' 8\n49933 ' Account' 8\n49934 ' Actions' 8\n49935 ' Adapter' 8\n49936 ' Address' 8\n49937 ' Además' 8\n49938 ' Admiral' 8\n49939 ' Advance' 8\n49940 ' Affairs' 8\n49941 ' African' 8\n49942 ' Against' 8\n49943 ' Airport' 8\n49944 ' Airways' 8\n49945 ' Alabama' 8\n49946 ' Alberta' 8\n49947 ' Alberto' 8\n49948 ' Alcohol' 8\n49949 ' Alexand' 8\n49950 ' Algebra' 8\n49951 ' Algeria' 8\n49952 ' Allison' 8\n49953 ' Already' 8\n49954 ' Alvarez' 8\n49955 ' Amazing' 8\n49956 ' America' 8\n49957 ' Ancient' 8\n49958 ' Andreas' 8\n49959 ' Andrews' 8\n49960 ' Android' 8\n49961 ' Angeles' 8\n49962 ' Angular' 8\n49963 ' Animals' 8\n49964 ' Another' 8\n49965 ' Anthony' 8\n49966 ' Anthrop' 8\n49967 ' Antoine' 8\n49968 ' Antonio' 8\n49969 ' Anxiety' 8\n49970 ' Appeals' 8\n49971 ' Applied' 8\n49972 ' Arabian' 8\n49973 ' Archive' 8\n49974 ' Arduino' 8\n49975 ' Arizona' 8\n49976 ' Armenia' 8\n49977 ' Arsenal' 8\n49978 ' Article' 8\n49979 ' Artikel' 8\n49980 ' Artists' 8\n49981 ' Assange' 8\n49982 ' Atlanta' 8\n49983 ' Attempt' 8\n49984 ' Auditor' 8\n49985 ' Austral' 8\n49986 ' Austria' 8\n49987 ' Authors' 8\n49988 ' Average' 8\n49989 ' Awesome' 8\n49990 ' BETWEEN' 8\n49991 ' Babylon' 8\n49992 ' Baghdad' 8\n49993 ' Bahamas' 8\n49994 ' Bahrain' 8\n49995 ' Balance' 8\n49996 ' Baldwin' 8\n49997 ' Bangkok' 8\n49998 ' Baptist' 8\n49999 ' Barbara' 8\n50000 ' Barrett' 8\n50001 ' Battery' 8\n50002 ' Beatles' 8\n50003 ' Because' 8\n50004 ' Bedford' 8\n50005 ' Beijing' 8\n50006 ' Belarus' 8\n50007 ' Belfast' 8\n50008 ' Belgian' 8\n50009 ' Belgium' 8\n50010 ' Believe' 8\n50011 ' Bennett' 8\n50012 ' Bernard' 8\n50013 ' Besides' 8\n50014 ' Between' 8\n50015 ' Beverly' 8\n50016 ' Binding' 8\n50017 ' Biology' 8\n50018 ' Bitcoin' 8\n50019 ' Bolivia' 8\n50020 ' Boolean' 8\n50021 ' Borough' 8\n50022 ' Bradley' 8\n50023 ' Brandon' 8\n50024 ' Brennan' 8\n50025 ' Brewing' 8\n50026 ' Brigade' 8\n50027 ' Bristol' 8\n50028 ' Britain' 8\n50029 ' Britann' 8\n50030 ' British' 8\n50031 ' Broncos' 8\n50032 ' Brother' 8\n50033 ' Browser' 8\n50034 ' Buffalo' 8\n50035 ' Builder' 8\n50036 ' Bürger' 8\n50037 ' CHAPTER' 8\n50038 ' COMMAND' 8\n50039 ' COPYING' 8\n50040 ' Cabinet' 8\n50041 ' Calgary' 8\n50042 ' Calling' 8\n50043 ' Cameron' 8\n50044 ' Capital' 8\n50045 ' Capitol' 8\n50046 ' Captain' 8\n50047 ' Caption' 8\n50048 ' Capture' 8\n50049 ' Cardiff' 8\n50050 ' Carroll' 8\n50051 ' Catalan' 8\n50052 ' Catalog' 8\n50053 ' Celsius' 8\n50054 ' Centers' 8\n50055 ' Central' 8\n50056 ' Century' 8\n50057 ' Certain' 8\n50058 ' Chamber' 8\n50059 ' Changed' 8\n50060 ' Changes' 8\n50061 ' Channel' 8\n50062 ' Chapman' 8\n50063 ' Chapter' 8\n50064 ' Charles' 8\n50065 ' Charlie' 8\n50066 ' Charter' 8\n50067 ' Chelsea' 8\n50068 ' Chennai' 8\n50069 ' Chester' 8\n50070 ' Chicago' 8\n50071 ' Chicken' 8\n50072 ' Chinese' 8\n50073 ' Chronic' 8\n50074 ' Circuit' 8\n50075 ' Citizen' 8\n50076 ' Classes' 8\n50077 ' Classic' 8\n50078 ' Claudia' 8\n50079 ' Clayton' 8\n50080 ' Clearly' 8\n50081 ' Clement' 8\n50082 ' Climate' 8\n50083 ' Clinton' 8\n50084 ' Cluster' 8\n50085 ' Coleman' 8\n50086 ' Collect' 8\n50087 ' College' 8\n50088 ' Collins' 8\n50089 ' Cologne' 8\n50090 ' Colonel' 8\n50091 ' Columns' 8\n50092 ' Combine' 8\n50093 ' Comité' 8\n50094 ' Command' 8\n50095 ' Comment' 8\n50096 ' Commons' 8\n50097 ' Compact' 8\n50098 ' Company' 8\n50099 ' Compare' 8\n50100 ' Complex' 8\n50101 ' Compute' 8\n50102 ' Concent' 8\n50103 ' Concept' 8\n50104 ' Concert' 8\n50105 ' Concord' 8\n50106 ' Conduct' 8\n50107 ' Confirm' 8\n50108 ' Connect' 8\n50109 ' Conserv' 8\n50110 ' Console' 8\n50111 ' Constit' 8\n50112 ' Consult' 8\n50113 ' Contact' 8\n50114 ' Content' 8\n50115 ' Contest' 8\n50116 ' Context' 8\n50117 ' Contrib' 8\n50118 ' Control' 8\n50119 ' Convers' 8\n50120 ' Convert' 8\n50121 ' Cookies' 8\n50122 ' Corinth' 8\n50123 ' Cornell' 8\n50124 ' Correct' 8\n50125 ' Council' 8\n50126 ' Counsel' 8\n50127 ' Counter' 8\n50128 ' Country' 8\n50129 ' Cowboys' 8\n50130 ' Created' 8\n50131 ' Creates' 8\n50132 ' Creator' 8\n50133 ' Cricket' 8\n50134 ' Critics' 8\n50135 ' Croatia' 8\n50136 ' Crystal' 8\n50137 ' Culture' 8\n50138 ' Current' 8\n50139 ' Customs' 8\n50140 ' Cynthia' 8\n50141 ' DAMAGES' 8\n50142 ' DEFAULT' 8\n50143 ' Daniels' 8\n50144 ' Dataset' 8\n50145 ' Deborah' 8\n50146 ' Decimal' 8\n50147 ' Default' 8\n50148 ' Defence' 8\n50149 ' Defense' 8\n50150 ' Denmark' 8\n50151 ' Derived' 8\n50152 ' Desktop' 8\n50153 ' Despite' 8\n50154 ' Destroy' 8\n50155 ' Details' 8\n50156 ' Detroit' 8\n50157 ' Deutsch' 8\n50158 ' Develop' 8\n50159 ' Devices' 8\n50160 ' Diagram' 8\n50161 ' Diamond' 8\n50162 ' Digital' 8\n50163 ' Disable' 8\n50164 ' Disease' 8\n50165 ' Display' 8\n50166 ' Doctors' 8\n50167 ' Dodgers' 8\n50168 ' Dominic' 8\n50169 ' Donovan' 8\n50170 ' Dorothy' 8\n50171 ' Douglas' 8\n50172 ' Dragons' 8\n50173 ' Drawing' 8\n50174 ' Dropbox' 8\n50175 ' Duchess' 8\n50176 ' Duterte' 8\n50177 ' Dynamic' 8\n50178 ' Dynasty' 8\n50179 ' EXPRESS' 8\n50180 ' Earlier' 8\n50181 ' Eastern' 8\n50182 ' Eclipse' 8\n50183 ' Economy' 8\n50184 ' Ecuador' 8\n50185 ' Edition' 8\n50186 ' Edwards' 8\n50187 ' Effects' 8\n50188 ' Elastic' 8\n50189 ' Eleanor' 8\n50190 ' Electro' 8\n50191 ' Element' 8\n50192 ' Elliott' 8\n50193 ' Emanuel' 8\n50194 ' Embassy' 8\n50195 ' Emerson' 8\n50196 ' Emperor' 8\n50197 ' Encoder' 8\n50198 ' England' 8\n50199 ' English' 8\n50200 ' Enrique' 8\n50201 ' Episode' 8\n50202 ' Epstein' 8\n50203 ' Erdogan' 8\n50204 ' España' 8\n50205 ' Estados' 8\n50206 ' Estonia' 8\n50207 ' Evangel' 8\n50208 ' Evening' 8\n50209 ' Everton' 8\n50210 ' Example' 8\n50211 ' Execute' 8\n50212 ' Experts' 8\n50213 ' Express' 8\n50214 ' Extract' 8\n50215 ' Extreme' 8\n50216 ' FITNESS' 8\n50217 ' Factors' 8\n50218 ' Factory' 8\n50219 ' Faculty' 8\n50220 ' Failure' 8\n50221 ' Falcons' 8\n50222 ' Fantasy' 8\n50223 ' Farmers' 8\n50224 ' Fashion' 8\n50225 ' Feature' 8\n50226 ' Federal' 8\n50227 ' Ferrari' 8\n50228 ' Fiction' 8\n50229 ' Fighter' 8\n50230 ' Figures' 8\n50231 ' Filters' 8\n50232 ' Finally' 8\n50233 ' Finance' 8\n50234 ' Finding' 8\n50235 ' Finland' 8\n50236 ' Finnish' 8\n50237 ' Firefox' 8\n50238 ' Firstly' 8\n50239 ' Fischer' 8\n50240 ' Fleming' 8\n50241 ' Florida' 8\n50242 ' Flowers' 8\n50243 ' Foreign' 8\n50244 ' Forever' 8\n50245 ' Formula' 8\n50246 ' Forrest' 8\n50247 ' Fortune' 8\n50248 ' Forward' 8\n50249 ' Fourier' 8\n50250 ' Frances' 8\n50251 ' Francis' 8\n50252 ' França' 8\n50253 ' Freddie' 8\n50254 ' Freedom' 8\n50255 ' Freeman' 8\n50256 ' Friends' 8\n50257 ' Funding' 8\n50258 ' Further' 8\n50259 ' GENERAL' 8\n50260 ' Gabriel' 8\n50261 ' Gallery' 8\n50262 ' García' 8\n50263 ' Gardens' 8\n50264 ' Gardner' 8\n50265 ' Garrett' 8\n50266 ' Gateway' 8\n50267 ' Gazette' 8\n50268 ' General' 8\n50269 ' Generic' 8\n50270 ' Genesis' 8\n50271 ' Genetic' 8\n50272 ' Georges' 8\n50273 ' Georgia' 8\n50274 ' Germans' 8\n50275 ' Germany' 8\n50276 ' Getting' 8\n50277 ' Gilbert' 8\n50278 ' Glasgow' 8\n50279 ' Goldman' 8\n50280 ' Goodman' 8\n50281 ' Grammar' 8\n50282 ' Gravity' 8\n50283 ' Greater' 8\n50284 ' Gregory' 8\n50285 ' Griffin' 8\n50286 ' Growing' 8\n50287 ' HOLDERS' 8\n50288 ' HOWEVER' 8\n50289 ' Hamburg' 8\n50290 ' Hammond' 8\n50291 ' Hampton' 8\n50292 ' Handler' 8\n50293 ' Handles' 8\n50294 ' Harbour' 8\n50295 ' Harvard' 8\n50296 ' Harvest' 8\n50297 ' HashMap' 8\n50298 ' Haskell' 8\n50299 ' Hawkins' 8\n50300 ' Healthy' 8\n50301 ' Hearing' 8\n50302 ' Heather' 8\n50303 ' Heights' 8\n50304 ' Herbert' 8\n50305 ' Highway' 8\n50306 ' Hilbert' 8\n50307 ' Hillary' 8\n50308 ' Himself' 8\n50309 ' History' 8\n50310 ' Hoffman' 8\n50311 ' Holding' 8\n50312 ' Holiday' 8\n50313 ' Holland' 8\n50314 ' Hopkins' 8\n50315 ' Horizon' 8\n50316 ' Housing' 8\n50317 ' Houston' 8\n50318 ' However' 8\n50319 ' Hubbard' 8\n50320 ' Hundred' 8\n50321 ' Hungary' 8\n50322 ' Hunting' 8\n50323 ' Hussein' 8\n50324 ' Hyundai' 8\n50325 ' IMPLIED' 8\n50326 ' INTEGER' 8\n50327 ' Ibrahim' 8\n50328 ' Iceland' 8\n50329 ' Ideally' 8\n50330 ' Illegal' 8\n50331 ' Illustr' 8\n50332 ' Imagine' 8\n50333 ' Imaging' 8\n50334 ' Improve' 8\n50335 ' Include' 8\n50336 ' Indiana' 8\n50337 ' Indians' 8\n50338 ' Indones' 8\n50339 ' Initial' 8\n50340 ' Install' 8\n50341 ' Instant' 8\n50342 ' Instead' 8\n50343 ' Integer' 8\n50344 ' Invalid' 8\n50345 ' Invoice' 8\n50346 ' Iranian' 8\n50347 ' Ireland' 8\n50348 ' Islamic' 8\n50349 ' Islands' 8\n50350 ' Israeli' 8\n50351 ' Italian' 8\n50352 ' Jackson' 8\n50353 ' Jacques' 8\n50354 ' Jakarta' 8\n50355 ' Jamaica' 8\n50356 ' Janeiro' 8\n50357 ' January' 8\n50358 ' Jeffrey' 8\n50359 ' Jenkins' 8\n50360 ' Jessica' 8\n50361 ' Johnson' 8\n50362 ' Journal' 8\n50363 ' Journey' 8\n50364 ' Judaism' 8\n50365 ' Jupiter' 8\n50366 ' Justice' 8\n50367 ' Kashmir' 8\n50368 ' Katrina' 8\n50369 ' Keeping' 8\n50370 ' Kennedy' 8\n50371 ' Kenneth' 8\n50372 ' Killing' 8\n50373 ' Kingdom' 8\n50374 ' Kitchen' 8\n50375 ' Knights' 8\n50376 ' Knowing' 8\n50377 ' Kremlin' 8\n50378 ' Krishna' 8\n50379 ' Kristen' 8\n50380 ' Kurdish' 8\n50381 ' Källor' 8\n50382 ' LICENSE' 8\n50383 ' LIMITED' 8\n50384 ' Lambert' 8\n50385 ' Laplace' 8\n50386 ' Laravel' 8\n50387 ' Laurent' 8\n50388 ' Lebanon' 8\n50389 ' Lecture' 8\n50390 ' Leipzig' 8\n50391 ' Leonard' 8\n50392 ' Letters' 8\n50393 ' Liberal' 8\n50394 ' Liberia' 8\n50395 ' Liberty' 8\n50396 ' Library' 8\n50397 ' License' 8\n50398 ' Limited' 8\n50399 ' Lincoln' 8\n50400 ' Lindsay' 8\n50401 ' Lindsey' 8\n50402 ' Lithuan' 8\n50403 ' Loading' 8\n50404 ' Located' 8\n50405 ' Looking' 8\n50406 ' Lorenzo' 8\n50407 ' Luckily' 8\n50408 ' METHODS' 8\n50409 ' Machine' 8\n50410 ' Madison' 8\n50411 ' Madonna' 8\n50412 ' Majesty' 8\n50413 ' Malcolm' 8\n50414 ' Manager' 8\n50415 ' Manning' 8\n50416 ' Mapping' 8\n50417 ' Marines' 8\n50418 ' Markets' 8\n50419 ' Marshal' 8\n50420 ' Martín' 8\n50421 ' Marxist' 8\n50422 ' Masters' 8\n50423 ' Matches' 8\n50424 ' Matthew' 8\n50425 ' Maurice' 8\n50426 ' Maximum' 8\n50427 ' Maxwell' 8\n50428 ' McLaren' 8\n50429 ' Meaning' 8\n50430 ' Measure' 8\n50431 ' Medical' 8\n50432 ' Meeting' 8\n50433 ' Melissa' 8\n50434 ' Members' 8\n50435 ' Memphis' 8\n50436 ' Mercury' 8\n50437 ' Message' 8\n50438 ' Methods' 8\n50439 ' Metrics' 8\n50440 ' Mexican' 8\n50441 ' Michael' 8\n50442 ' Midwest' 8\n50443 ' Millenn' 8\n50444 ' Million' 8\n50445 ' Mineral' 8\n50446 ' Minimal' 8\n50447 ' Minimum' 8\n50448 ' Minutes' 8\n50449 ' Miranda' 8\n50450 ' Missing' 8\n50451 ' Mission' 8\n50452 ' Modules' 8\n50453 ' Mohamed' 8\n50454 ' MongoDB' 8\n50455 ' Monitor' 8\n50456 ' Monster' 8\n50457 ' Montana' 8\n50458 ' Monthly' 8\n50459 ' Morales' 8\n50460 ' Morning' 8\n50461 ' Morocco' 8\n50462 ' Mozilla' 8\n50463 ' Mueller' 8\n50464 ' Municip' 8\n50465 ' Musical' 8\n50466 ' Muslims' 8\n50467 ' MyClass' 8\n50468 ' Myanmar' 8\n50469 ' Mystery' 8\n50470 ' Männer' 8\n50471 ' México' 8\n50472 ' Müller' 8\n50473 ' Natalie' 8\n50474 ' Nations' 8\n50475 ' Natural' 8\n50476 ' Neither' 8\n50477 ' Netflix' 8\n50478 ' Network' 8\n50479 ' Neumann' 8\n50480 ' Neville' 8\n50481 ' Newport' 8\n50482 ' Nichols' 8\n50483 ' Nicolas' 8\n50484 ' Nielsen' 8\n50485 ' Nigeria' 8\n50486 ' Norfolk' 8\n50487 ' Nothing' 8\n50488 ' Notices' 8\n50489 ' Nuclear' 8\n50490 ' Numbers' 8\n50491 ' Nursing' 8\n50492 ' Oakland' 8\n50493 ' Objects' 8\n50494 ' October' 8\n50495 ' Officer' 8\n50496 ' Oktober' 8\n50497 ' Olivier' 8\n50498 ' Olympic' 8\n50499 ' Ontario' 8\n50500 ' Opening' 8\n50501 ' Opinion' 8\n50502 ' Optical' 8\n50503 ' Options' 8\n50504 ' Ordered' 8\n50505 ' Organic' 8\n50506 ' Orlando' 8\n50507 ' Orleans' 8\n50508 ' Ottoman' 8\n50509 ' Outlook' 8\n50510 ' Outside' 8\n50511 ' Overall' 8\n50512 ' PRIMARY' 8\n50513 ' PROFITS' 8\n50514 ' PURPOSE' 8\n50515 ' Pacific' 8\n50516 ' Package' 8\n50517 ' Packers' 8\n50518 ' Pandora' 8\n50519 ' Parents' 8\n50520 ' Parking' 8\n50521 ' Parkway' 8\n50522 ' Parsing' 8\n50523 ' Partial' 8\n50524 ' Parties' 8\n50525 ' Partner' 8\n50526 ' Patient' 8\n50527 ' Patrick' 8\n50528 ' Pattern' 8\n50529 ' Payment' 8\n50530 ' Pearson' 8\n50531 ' Pending' 8\n50532 ' Penguin' 8\n50533 ' Percent' 8\n50534 ' Perfect' 8\n50535 ' Perform' 8\n50536 ' Perhaps' 8\n50537 ' Perkins' 8\n50538 ' Persian' 8\n50539 ' Persons' 8\n50540 ' Phantom' 8\n50541 ' Pharmac' 8\n50542 ' Philipp' 8\n50543 ' Philips' 8\n50544 ' Phillip' 8\n50545 ' Phoenix' 8\n50546 ' Physics' 8\n50547 ' Picture' 8\n50548 ' Pirates' 8\n50549 ' Planned' 8\n50550 ' Players' 8\n50551 ' Playing' 8\n50552 ' Plugins' 8\n50553 ' Pointer' 8\n50554 ' Poisson' 8\n50555 ' Pokemon' 8\n50556 ' Popular' 8\n50557 ' Porsche' 8\n50558 ' Pradesh' 8\n50559 ' Predict' 8\n50560 ' Premier' 8\n50561 ' Premium' 8\n50562 ' Prepare' 8\n50563 ' Present' 8\n50564 ' Preston' 8\n50565 ' Prevent' 8\n50566 ' Preview' 8\n50567 ' Primary' 8\n50568 ' Privacy' 8\n50569 ' Private' 8\n50570 ' Problem' 8\n50571 ' Proceed' 8\n50572 ' Process' 8\n50573 ' Product' 8\n50574 ' Profile' 8\n50575 ' Program' 8\n50576 ' Project' 8\n50577 ' Promise' 8\n50578 ' Prophet' 8\n50579 ' Protect' 8\n50580 ' Protein' 8\n50581 ' Protest' 8\n50582 ' Provide' 8\n50583 ' Publish' 8\n50584 ' Purpose' 8\n50585 ' Públic' 8\n50586 ' QString' 8\n50587 ' QWidget' 8\n50588 ' Quality' 8\n50589 ' Quantum' 8\n50590 ' Quarter' 8\n50591 ' Québec' 8\n50592 ' REUTERS' 8\n50593 ' Radical' 8\n50594 ' Raiders' 8\n50595 ' Railway' 8\n50596 ' Rainbow' 8\n50597 ' Raleigh' 8\n50598 ' Ramirez' 8\n50599 ' Randall' 8\n50600 ' Rangers' 8\n50601 ' Raymond' 8\n50602 ' Reading' 8\n50603 ' Reality' 8\n50604 ' Rebecca' 8\n50605 ' Receive' 8\n50606 ' Records' 8\n50607 ' Refresh' 8\n50608 ' Regular' 8\n50609 ' Related' 8\n50610 ' Release' 8\n50611 ' Renault' 8\n50612 ' Replace' 8\n50613 ' Reports' 8\n50614 ' Request' 8\n50615 ' Require' 8\n50616 ' Reserve' 8\n50617 ' Respond' 8\n50618 ' Respons' 8\n50619 ' Results' 8\n50620 ' Returns' 8\n50621 ' Reuters' 8\n50622 ' Revenue' 8\n50623 ' Reverse' 8\n50624 ' Reviews' 8\n50625 ' Revised' 8\n50626 ' Rewrite' 8\n50627 ' Ricardo' 8\n50628 ' Richard' 8\n50629 ' Riemann' 8\n50630 ' Roberto' 8\n50631 ' Roberts' 8\n50632 ' Rodgers' 8\n50633 ' Rolling' 8\n50634 ' Romance' 8\n50635 ' Romania' 8\n50636 ' Ronaldo' 8\n50637 ' Running' 8\n50638 ' Runtime' 8\n50639 ' Russell' 8\n50640 ' Russian' 8\n50641 ' SERVICE' 8\n50642 ' SPECIAL' 8\n50643 ' SUPPORT' 8\n50644 ' Samples' 8\n50645 ' Samsung' 8\n50646 ' Sanchez' 8\n50647 ' Sanders' 8\n50648 ' Savings' 8\n50649 ' Scaling' 8\n50650 ' Scandin' 8\n50651 ' Scanner' 8\n50652 ' Schmidt' 8\n50653 ' Scholar' 8\n50654 ' Schools' 8\n50655 ' Schwarz' 8\n50656 ' Science' 8\n50657 ' Seattle' 8\n50658 ' Section' 8\n50659 ' Segment' 8\n50660 ' Senator' 8\n50661 ' Serbian' 8\n50662 ' Service' 8\n50663 ' Session' 8\n50664 ' Setting' 8\n50665 ' Seventh' 8\n50666 ' Several' 8\n50667 ' Shannon' 8\n50668 ' Shapiro' 8\n50669 ' Sheriff' 8\n50670 ' Sherman' 8\n50671 ' Shirley' 8\n50672 ' Shortly' 8\n50673 ' Siemens' 8\n50674 ' Silicon' 8\n50675 ' Similar' 8\n50676 ' Simmons' 8\n50677 ' Simpson' 8\n50678 ' Singles' 8\n50679 ' Sisters' 8\n50680 ' Snowden' 8\n50681 ' Society' 8\n50682 ' Solomon' 8\n50683 ' Somalia' 8\n50684 ' Somehow' 8\n50685 ' Someone' 8\n50686 ' Sources' 8\n50687 ' Spanish' 8\n50688 ' Spatial' 8\n50689 ' Speaker' 8\n50690 ' Special' 8\n50691 ' Species' 8\n50692 ' Spencer' 8\n50693 ' Spotify' 8\n50694 ' Springs' 8\n50695 ' Stadium' 8\n50696 ' Stanley' 8\n50697 ' Startup' 8\n50698 ' Station' 8\n50699 ' Stephan' 8\n50700 ' Stephen' 8\n50701 ' Stevens' 8\n50702 ' Stewart' 8\n50703 ' Storage' 8\n50704 ' Stories' 8\n50705 ' Strange' 8\n50706 ' Strateg' 8\n50707 ' Straße' 8\n50708 ' Strings' 8\n50709 ' Student' 8\n50710 ' Studies' 8\n50711 ' Studios' 8\n50712 ' Subject' 8\n50713 ' Success' 8\n50714 ' Summary' 8\n50715 ' Sundays' 8\n50716 ' Support' 8\n50717 ' Suppose' 8\n50718 ' Supreme' 8\n50719 ' Surface' 8\n50720 ' Surgery' 8\n50721 ' Swedish' 8\n50722 ' Symbols' 8\n50723 ' Systems' 8\n50724 ' Taliban' 8\n50725 ' Teacher' 8\n50726 ' Telecom' 8\n50727 ' Testing' 8\n50728 ' Texture' 8\n50729 ' Theater' 8\n50730 ' Theatre' 8\n50731 ' Theorem' 8\n50732 ' Therapy' 8\n50733 ' Theresa' 8\n50734 ' Thomson' 8\n50735 ' Thought' 8\n50736 ' Thrones' 8\n50737 ' Through' 8\n50738 ' Thunder' 8\n50739 ' Tibetan' 8\n50740 ' Tickets' 8\n50741 ' Tiffany' 8\n50742 ' Timothy' 8\n50743 ' Tobacco' 8\n50744 ' Tonight' 8\n50745 ' Toolkit' 8\n50746 ' Toronto' 8\n50747 ' Tourism' 8\n50748 ' Trading' 8\n50749 ' Traffic' 8\n50750 ' Trainer' 8\n50751 ' Transit' 8\n50752 ' Tribune' 8\n50753 ' Trigger' 8\n50754 ' Trinity' 8\n50755 ' Trudeau' 8\n50756 ' Tuesday' 8\n50757 ' Tunisia' 8\n50758 ' Turkish' 8\n50759 ' Twitter' 8\n50760 ' Typical' 8\n50761 ' Ukraine' 8\n50762 ' Unicode' 8\n50763 ' Unified' 8\n50764 ' Uniform' 8\n50765 ' Univers' 8\n50766 ' Unknown' 8\n50767 ' Updated' 8\n50768 ' Updates' 8\n50769 ' Upgrade' 8\n50770 ' Uruguay' 8\n50771 ' Usually' 8\n50772 ' Utility' 8\n50773 ' VARCHAR' 8\n50774 ' Vanessa' 8\n50775 ' Variant' 8\n50776 ' Variety' 8\n50777 ' Various' 8\n50778 ' Vatican' 8\n50779 ' Vehicle' 8\n50780 ' Verfüg' 8\n50781 ' Verizon' 8\n50782 ' Vermont' 8\n50783 ' Version' 8\n50784 ' Veteran' 8\n50785 ' Victory' 8\n50786 ' Vietnam' 8\n50787 ' Vikings' 8\n50788 ' Village' 8\n50789 ' Vincent' 8\n50790 ' Virtual' 8\n50791 ' Visitor' 8\n50792 ' Vitamin' 8\n50793 ' Volunte' 8\n50794 ' WARRANT' 8\n50795 ' WHETHER' 8\n50796 ' WITHOUT' 8\n50797 ' Waiting' 8\n50798 ' Walking' 8\n50799 ' Wallace' 8\n50800 ' Walmart' 8\n50801 ' Warning' 8\n50802 ' Warrior' 8\n50803 ' Watkins' 8\n50804 ' Weapons' 8\n50805 ' Weather' 8\n50806 ' Website' 8\n50807 ' Webster' 8\n50808 ' Wedding' 8\n50809 ' Welcome' 8\n50810 ' Welfare' 8\n50811 ' Western' 8\n50812 ' Wheeler' 8\n50813 ' Whereas' 8\n50814 ' Whether' 8\n50815 ' Whitney' 8\n50816 ' Wilhelm' 8\n50817 ' William' 8\n50818 ' Windows' 8\n50819 ' Windsor' 8\n50820 ' Winston' 8\n50821 ' Without' 8\n50822 ' Witness' 8\n50823 ' Workers' 8\n50824 ' Working' 8\n50825 ' Writers' 8\n50826 ' Writing' 8\n50827 ' Written' 8\n50828 ' Wyoming' 8\n50829 ' Yankees' 8\n50830 ' YouTube' 8\n50831 ' Youtube' 8\n50832 ' Zealand' 8\n50833 ' Zürich' 8\n50834 ' abandon' 8\n50835 ' abdomen' 8\n50836 ' ability' 8\n50837 ' absence' 8\n50838 ' absolut' 8\n50839 ' abusive' 8\n50840 ' academy' 8\n50841 ' acceler' 8\n50842 ' accepts' 8\n50843 ' acción' 8\n50844 ' accompl' 8\n50845 ' account' 8\n50846 ' accused' 8\n50847 ' acetate' 8\n50848 ' achieve' 8\n50849 ' acquire' 8\n50850 ' acrylic' 8\n50851 ' actions' 8\n50852 ' actress' 8\n50853 ' adapted' 8\n50854 ' adapter' 8\n50855 ' address' 8\n50856 ' además' 8\n50857 ' adjoint' 8\n50858 ' adjunct' 8\n50859 ' admired' 8\n50860 ' adopted' 8\n50861 ' adrenal' 8\n50862 ' advance' 8\n50863 ' adverse' 8\n50864 ' advised' 8\n50865 ' adviser' 8\n50866 ' advisor' 8\n50867 ' aerobic' 8\n50868 ' affairs' 8\n50869 ' affects' 8\n50870 ' against' 8\n50871 ' aggress' 8\n50872 ' airflow' 8\n50873 ' airline' 8\n50874 ' airport' 8\n50875 ' alarmed' 8\n50876 ' alcohol' 8\n50877 ' algebra' 8\n50878 ' algunas' 8\n50879 ' algunos' 8\n50880 ' aliases' 8\n50881 ' aligned' 8\n50882 ' aliment' 8\n50883 ' alleged' 8\n50884 ' alleges' 8\n50885 ' alleles' 8\n50886 ' allergy' 8\n50887 ' allowed' 8\n50888 ' already' 8\n50889 ' alright' 8\n50890 ' altered' 8\n50891 ' amateur' 8\n50892 ' amazing' 8\n50893 ' ambient' 8\n50894 ' amended' 8\n50895 ' ammonia' 8\n50896 ' amongst' 8\n50897 ' amounts' 8\n50898 ' amplify' 8\n50899 ' amusing' 8\n50900 ' améric' 8\n50901 ' analogy' 8\n50902 ' analyse' 8\n50903 ' analyst' 8\n50904 ' analyze' 8\n50905 ' anatomy' 8\n50906 ' anchors' 8\n50907 ' ancient' 8\n50908 ' anderen' 8\n50909 ' android' 8\n50910 ' anglais' 8\n50911 ' anglès' 8\n50912 ' angrily' 8\n50913 ' angular' 8\n50914 ' animals' 8\n50915 ' animate' 8\n50916 ' annoyed' 8\n50917 ' années' 8\n50918 ' anomaly' 8\n50919 ' another' 8\n50920 ' ansible' 8\n50921 ' answers' 8\n50922 ' antagon' 8\n50923 ' antenna' 8\n50924 ' anthrop' 8\n50925 ' anticip' 8\n50926 ' antigen' 8\n50927 ' antique' 8\n50928 ' anxiety' 8\n50929 ' anxious' 8\n50930 ' anybody' 8\n50931 ' anymore' 8\n50932 ' anytime' 8\n50933 ' apology' 8\n50934 ' appeals' 8\n50935 ' appears' 8\n50936 ' applaud' 8\n50937 ' applied' 8\n50938 ' applies' 8\n50939 ' appoint' 8\n50940 ' appreci' 8\n50941 ' apprent' 8\n50942 ' approve' 8\n50943 ' aproxim' 8\n50944 ' aquatic' 8\n50945 ' aqueous' 8\n50946 ' archive' 8\n50947 ' archivo' 8\n50948 ' arguing' 8\n50949 ' arising' 8\n50950 ' arousal' 8\n50951 ' arquivo' 8\n50952 ' arrange' 8\n50953 ' arrests' 8\n50954 ' arrival' 8\n50955 ' arrived' 8\n50956 ' arrives' 8\n50957 ' arsenal' 8\n50958 ' article' 8\n50959 ' artific' 8\n50960 ' artisan' 8\n50961 ' artists' 8\n50962 ' artwork' 8\n50963 ' ashamed' 8\n50964 ' aspects' 8\n50965 ' assault' 8\n50966 ' assembl' 8\n50967 ' asserts' 8\n50968 ' assigns' 8\n50969 ' assists' 8\n50970 ' assumed' 8\n50971 ' assumes' 8\n50972 ' assured' 8\n50973 ' atheist' 8\n50974 ' athlete' 8\n50975 ' attacks' 8\n50976 ' attempt' 8\n50977 ' attract' 8\n50978 ' auction' 8\n50979 ' auditor' 8\n50980 ' augment' 8\n50981 ' auprès' 8\n50982 ' authors' 8\n50983 ' automat' 8\n50984 ' autonom' 8\n50985 ' autopsy' 8\n50986 ' avenues' 8\n50987 ' average' 8\n50988 ' avoided' 8\n50989 ' awarded' 8\n50990 ' awesome' 8\n50991 ' awkward' 8\n50992 ' azimuth' 8\n50993 ' ações' 8\n50994 ' backend' 8\n50995 ' backing' 8\n50996 ' baggage' 8\n50997 ' balance' 8\n50998 ' balcony' 8\n50999 ' balloon' 8\n51000 ' ballots' 8\n51001 ' bananas' 8\n51002 ' bankers' 8\n51003 ' banking' 8\n51004 ' banning' 8\n51005 ' barcode' 8\n51006 ' bargain' 8\n51007 ' barrage' 8\n51008 ' barrels' 8\n51009 ' barrier' 8\n51010 ' bastard' 8\n51011 ' batches' 8\n51012 ' battery' 8\n51013 ' batting' 8\n51014 ' battles' 8\n51015 ' beaches' 8\n51016 ' bearing' 8\n51017 ' beating' 8\n51018 ' because' 8\n51019 ' becomes' 8\n51020 ' bedroom' 8\n51021 ' begging' 8\n51022 ' behaved' 8\n51023 ' behaves' 8\n51024 ' beliefs' 8\n51025 ' believe' 8\n51026 ' belongs' 8\n51027 ' beloved' 8\n51028 ' bending' 8\n51029 ' beneath' 8\n51030 ' benefit' 8\n51031 ' bereits' 8\n51032 ' berries' 8\n51033 ' besides' 8\n51034 ' betting' 8\n51035 ' between' 8\n51036 ' bgcolor' 8\n51037 ' bicycle' 8\n51038 ' bidding' 8\n51039 ' biggest' 8\n51040 ' billing' 8\n51041 ' billion' 8\n51042 ' binding' 8\n51043 ' biology' 8\n51044 ' biomass' 8\n51045 ' bipolar' 8\n51046 ' bishops' 8\n51047 ' bitcoin' 8\n51048 ' bizarre' 8\n51049 ' bladder' 8\n51050 ' blaming' 8\n51051 ' blanket' 8\n51052 ' blasted' 8\n51053 ' blended' 8\n51054 ' blender' 8\n51055 ' blessed' 8\n51056 ' blinded' 8\n51057 ' blinked' 8\n51058 ' blocked' 8\n51059 ' blocker' 8\n51060 ' blogger' 8\n51061 ' blowing' 8\n51062 ' blurred' 8\n51063 ' boiling' 8\n51064 ' bolster' 8\n51065 ' bombard' 8\n51066 ' bombers' 8\n51067 ' bombing' 8\n51068 ' bonding' 8\n51069 ' bonuses' 8\n51070 ' booking' 8\n51071 ' boolean' 8\n51072 ' boosted' 8\n51073 ' booster' 8\n51074 ' borders' 8\n51075 ' borough' 8\n51076 ' bottles' 8\n51077 ' bounced' 8\n51078 ' bounded' 8\n51079 ' bowling' 8\n51080 ' boycott' 8\n51081 ' bracket' 8\n51082 ' braking' 8\n51083 ' branded' 8\n51084 ' brasile' 8\n51085 ' breadth' 8\n51086 ' breasts' 8\n51087 ' breathe' 8\n51088 ' brewery' 8\n51089 ' brewing' 8\n51090 ' bridges' 8\n51091 ' briefly' 8\n51092 ' brigade' 8\n51093 ' broader' 8\n51094 ' broadly' 8\n51095 ' brokers' 8\n51096 ' brother' 8\n51097 ' brought' 8\n51098 ' browser' 8\n51099 ' brushed' 8\n51100 ' bubbles' 8\n51101 ' buckets' 8\n51102 ' budding' 8\n51103 ' budgets' 8\n51104 ' buffers' 8\n51105 ' builder' 8\n51106 ' bullets' 8\n51107 ' bundled' 8\n51108 ' bundles' 8\n51109 ' burdens' 8\n51110 ' bureauc' 8\n51111 ' burgers' 8\n51112 ' burning' 8\n51113 ' butcher' 8\n51114 ' buttons' 8\n51115 ' będzie' 8\n51116 ' cabbage' 8\n51117 ' cabinet' 8\n51118 ' caching' 8\n51119 ' calcium' 8\n51120 ' calling' 8\n51121 ' calorie' 8\n51122 ' cameras' 8\n51123 ' camping' 8\n51124 ' cancell' 8\n51125 ' cancers' 8\n51126 ' candles' 8\n51127 ' capable' 8\n51128 ' capital' 8\n51129 ' capsule' 8\n51130 ' captain' 8\n51131 ' caption' 8\n51132 ' captive' 8\n51133 ' capture' 8\n51134 ' caramel' 8\n51135 ' cardiac' 8\n51136 ' careers' 8\n51137 ' careful' 8\n51138 ' carrera' 8\n51139 ' carried' 8\n51140 ' carrier' 8\n51141 ' carries' 8\n51142 ' carrots' 8\n51143 ' cartoon' 8\n51144 ' cascade' 8\n51145 ' casinos' 8\n51146 ' casting' 8\n51147 ' catalog' 8\n51148 ' catches' 8\n51149 ' categor' 8\n51150 ' cathode' 8\n51151 ' causing' 8\n51152 ' caution' 8\n51153 ' cavalry' 8\n51154 ' ceiling' 8\n51155 ' centers' 8\n51156 ' central' 8\n51157 ' centres' 8\n51158 ' century' 8\n51159 ' ceramic' 8\n51160 ' ceremon' 8\n51161 ' certain' 8\n51162 ' chamber' 8\n51163 ' chances' 8\n51164 ' changed' 8\n51165 ' changes' 8\n51166 ' channel' 8\n51167 ' chaotic' 8\n51168 ' chapter' 8\n51169 ' charged' 8\n51170 ' charger' 8\n51171 ' charges' 8\n51172 ' charity' 8\n51173 ' charset' 8\n51174 ' charter' 8\n51175 ' chasing' 8\n51176 ' chassis' 8\n51177 ' chatter' 8\n51178 ' cheaper' 8\n51179 ' checked' 8\n51180 ' checker' 8\n51181 ' chewing' 8\n51182 ' chicken' 8\n51183 ' chiefly' 8\n51184 ' chilled' 8\n51185 ' choices' 8\n51186 ' chooses' 8\n51187 ' chopped' 8\n51188 ' chromat' 8\n51189 ' chronic' 8\n51190 ' cientí' 8\n51191 ' cinemat' 8\n51192 ' cinéma' 8\n51193 ' circles' 8\n51194 ' circuit' 8\n51195 ' citizen' 8\n51196 ' claimed' 8\n51197 ' clarify' 8\n51198 ' clarity' 8\n51199 ' clashes' 8\n51200 ' classes' 8\n51201 ' classic' 8\n51202 ' clauses' 8\n51203 ' cleaned' 8\n51204 ' cleaner' 8\n51205 ' cleanup' 8\n51206 ' cleared' 8\n51207 ' clearer' 8\n51208 ' clearly' 8\n51209 ' clicked' 8\n51210 ' cliente' 8\n51211 ' clients' 8\n51212 ' climate' 8\n51213 ' climbed' 8\n51214 ' clinics' 8\n51215 ' cloning' 8\n51216 ' closely' 8\n51217 ' closest' 8\n51218 ' closing' 8\n51219 ' closure' 8\n51220 ' clothes' 8\n51221 ' cluster' 8\n51222 ' clutter' 8\n51223 ' coached' 8\n51224 ' coaches' 8\n51225 ' coastal' 8\n51226 ' coating' 8\n51227 ' cocaine' 8\n51228 ' coconut' 8\n51229 ' cohorts' 8\n51230 ' collaps' 8\n51231 ' collect' 8\n51232 ' college' 8\n51233 ' collide' 8\n51234 ' colonel' 8\n51235 ' colored' 8\n51236 ' colours' 8\n51237 ' colspan' 8\n51238 ' columns' 8\n51239 ' combine' 8\n51240 ' combust' 8\n51241 ' comfort' 8\n51242 ' command' 8\n51243 ' comment' 8\n51244 ' commits' 8\n51245 ' commons' 8\n51246 ' commune' 8\n51247 ' commute' 8\n51248 ' compact' 8\n51249 ' company' 8\n51250 ' compare' 8\n51251 ' compart' 8\n51252 ' compass' 8\n51253 ' compañ' 8\n51254 ' compens' 8\n51255 ' compete' 8\n51256 ' compile' 8\n51257 ' complet' 8\n51258 ' complex' 8\n51259 ' complic' 8\n51260 ' comport' 8\n51261 ' compose' 8\n51262 ' compost' 8\n51263 ' compreh' 8\n51264 ' comprom' 8\n51265 ' compuls' 8\n51266 ' compute' 8\n51267 ' compét' 8\n51268 ' comunic' 8\n51269 ' conceal' 8\n51270 ' concede' 8\n51271 ' concent' 8\n51272 ' concept' 8\n51273 ' concern' 8\n51274 ' concert' 8\n51275 ' concess' 8\n51276 ' concise' 8\n51277 ' conclus' 8\n51278 ' condemn' 8\n51279 ' conduct' 8\n51280 ' conduit' 8\n51281 ' confess' 8\n51282 ' confirm' 8\n51283 ' confisc' 8\n51284 ' conflic' 8\n51285 ' conform' 8\n51286 ' confuse' 8\n51287 ' congest' 8\n51288 ' congrat' 8\n51289 ' congreg' 8\n51290 ' conject' 8\n51291 ' connect' 8\n51292 ' conquer' 8\n51293 ' consegu' 8\n51294 ' consent' 8\n51295 ' consequ' 8\n51296 ' conserv' 8\n51297 ' consist' 8\n51298 ' console' 8\n51299 ' conspic' 8\n51300 ' conspir' 8\n51301 ' constit' 8\n51302 ' constru' 8\n51303 ' consult' 8\n51304 ' consume' 8\n51305 ' contact' 8\n51306 ' contain' 8\n51307 ' contend' 8\n51308 ' content' 8\n51309 ' contest' 8\n51310 ' context' 8\n51311 ' conting' 8\n51312 ' continu' 8\n51313 ' contour' 8\n51314 ' contrad' 8\n51315 ' contrib' 8\n51316 ' control' 8\n51317 ' convent' 8\n51318 ' convers' 8\n51319 ' convert' 8\n51320 ' convict' 8\n51321 ' convinc' 8\n51322 ' cookies' 8\n51323 ' cooking' 8\n51324 ' cooling' 8\n51325 ' coordin' 8\n51326 ' copying' 8\n51327 ' corners' 8\n51328 ' correct' 8\n51329 ' corrupt' 8\n51330 ' costing' 8\n51331 ' costume' 8\n51332 ' cottage' 8\n51333 ' council' 8\n51334 ' counsel' 8\n51335 ' counted' 8\n51336 ' counter' 8\n51337 ' country' 8\n51338 ' coupled' 8\n51339 ' couples' 8\n51340 ' coupons' 8\n51341 ' courage' 8\n51342 ' courses' 8\n51343 ' cousins' 8\n51344 ' covered' 8\n51345 ' cracked' 8\n51346 ' crafted' 8\n51347 ' crashed' 8\n51348 ' crashes' 8\n51349 ' craving' 8\n51350 ' crawled' 8\n51351 ' created' 8\n51352 ' creates' 8\n51353 ' creator' 8\n51354 ' credits' 8\n51355 ' cricket' 8\n51356 ' critics' 8\n51357 ' cropped' 8\n51358 ' crossed' 8\n51359 ' crosses' 8\n51360 ' crowded' 8\n51361 ' crucial' 8\n51362 ' cruelty' 8\n51363 ' cruiser' 8\n51364 ' crushed' 8\n51365 ' crystal' 8\n51366 ' cuisine' 8\n51367 ' culprit' 8\n51368 ' cultura' 8\n51369 ' culture' 8\n51370 ' cunning' 8\n51371 ' curious' 8\n51372 ' current' 8\n51373 ' curtain' 8\n51374 ' cushion' 8\n51375 ' custody' 8\n51376 ' customs' 8\n51377 ' cutting' 8\n51378 ' cycling' 8\n51379 ' cynical' 8\n51380 ' código' 8\n51381 ' další' 8\n51382 ' damaged' 8\n51383 ' damages' 8\n51384 ' damping' 8\n51385 ' dancers' 8\n51386 ' dancing' 8\n51387 ' dangers' 8\n51388 ' darling' 8\n51389 ' dataset' 8\n51390 ' daytime' 8\n51391 ' dealers' 8\n51392 ' dealing' 8\n51393 ' debated' 8\n51394 ' debates' 8\n51395 ' debuted' 8\n51396 ' decades' 8\n51397 ' decided' 8\n51398 ' decides' 8\n51399 ' decimal' 8\n51400 ' declare' 8\n51401 ' decline' 8\n51402 ' decoded' 8\n51403 ' decoder' 8\n51404 ' decrypt' 8\n51405 ' deepest' 8\n51406 ' default' 8\n51407 ' defeats' 8\n51408 ' defects' 8\n51409 ' defence' 8\n51410 ' defense' 8\n51411 ' deficit' 8\n51412 ' defined' 8\n51413 ' defines' 8\n51414 ' definit' 8\n51415 ' deflect' 8\n51416 ' degener' 8\n51417 ' degrade' 8\n51418 ' degrees' 8\n51419 ' delayed' 8\n51420 ' deleted' 8\n51421 ' deletes' 8\n51422 ' deliber' 8\n51423 ' delight' 8\n51424 ' deliver' 8\n51425 ' demande' 8\n51426 ' demands' 8\n51427 ' denomin' 8\n51428 ' denoted' 8\n51429 ' denotes' 8\n51430 ' densely' 8\n51431 ' density' 8\n51432 ' dentist' 8\n51433 ' denying' 8\n51434 ' depends' 8\n51435 ' depicts' 8\n51436 ' deposit' 8\n51437 ' depress' 8\n51438 ' derived' 8\n51439 ' derives' 8\n51440 ' dernier' 8\n51441 ' descend' 8\n51442 ' descent' 8\n51443 ' describ' 8\n51444 ' deserve' 8\n51445 ' designs' 8\n51446 ' desired' 8\n51447 ' desires' 8\n51448 ' desktop' 8\n51449 ' despair' 8\n51450 ' despite' 8\n51451 ' dessert' 8\n51452 ' destiny' 8\n51453 ' destroy' 8\n51454 ' details' 8\n51455 ' detects' 8\n51456 ' develop' 8\n51457 ' devices' 8\n51458 ' devised' 8\n51459 ' devoted' 8\n51460 ' diagram' 8\n51461 ' dialect' 8\n51462 ' diamond' 8\n51463 ' dictate' 8\n51464 ' diction' 8\n51465 ' dietary' 8\n51466 ' differs' 8\n51467 ' diffuse' 8\n51468 ' différ' 8\n51469 ' digging' 8\n51470 ' digital' 8\n51471 ' dignity' 8\n51472 ' dilemma' 8\n51473 ' diluted' 8\n51474 ' dioxide' 8\n51475 ' diploma' 8\n51476 ' directs' 8\n51477 ' dirname' 8\n51478 ' disable' 8\n51479 ' disappe' 8\n51480 ' discard' 8\n51481 ' discern' 8\n51482 ' discipl' 8\n51483 ' discord' 8\n51484 ' discour' 8\n51485 ' discrep' 8\n51486 ' discret' 8\n51487 ' discrim' 8\n51488 ' discuss' 8\n51489 ' disease' 8\n51490 ' diseño' 8\n51491 ' disgust' 8\n51492 ' dislike' 8\n51493 ' dismant' 8\n51494 ' dismiss' 8\n51495 ' dispens' 8\n51496 ' dispers' 8\n51497 ' display' 8\n51498 ' dispose' 8\n51499 ' dispute' 8\n51500 ' disrupt' 8\n51501 ' dissent' 8\n51502 ' distant' 8\n51503 ' distint' 8\n51504 ' distort' 8\n51505 ' distrib' 8\n51506 ' disturb' 8\n51507 ' diverse' 8\n51508 ' divided' 8\n51509 ' divides' 8\n51510 ' divisor' 8\n51511 ' divorce' 8\n51512 ' docking' 8\n51513 ' doctors' 8\n51514 ' dollars' 8\n51515 ' domains' 8\n51516 ' donated' 8\n51517 ' doorway' 8\n51518 ' dormant' 8\n51519 ' dossier' 8\n51520 ' doubled' 8\n51521 ' doubles' 8\n51522 ' doubted' 8\n51523 ' drafted' 8\n51524 ' dragged' 8\n51525 ' dragons' 8\n51526 ' drained' 8\n51527 ' drastic' 8\n51528 ' drawing' 8\n51529 ' dreamed' 8\n51530 ' dressed' 8\n51531 ' dresses' 8\n51532 ' drifted' 8\n51533 ' drilled' 8\n51534 ' drivers' 8\n51535 ' driving' 8\n51536 ' dropout' 8\n51537 ' dropped' 8\n51538 ' drought' 8\n51539 ' drowned' 8\n51540 ' drummer' 8\n51541 ' drunken' 8\n51542 ' dubious' 8\n51543 ' dumping' 8\n51544 ' durable' 8\n51545 ' durante' 8\n51546 ' dynamic' 8\n51547 ' dynasty' 8\n51548 ' década' 8\n51549 ' départ' 8\n51550 ' eagerly' 8\n51551 ' earlier' 8\n51552 ' earnest' 8\n51553 ' earning' 8\n51554 ' earthqu' 8\n51555 ' easiest' 8\n51556 ' eastern' 8\n51557 ' eclipse' 8\n51558 ' ecology' 8\n51559 ' economy' 8\n51560 ' económ' 8\n51561 ' editing' 8\n51562 ' edition' 8\n51563 ' editors' 8\n51564 ' educate' 8\n51565 ' effects' 8\n51566 ' efforts' 8\n51567 ' eigenen' 8\n51568 ' ejected' 8\n51569 ' ejemplo' 8\n51570 ' elapsed' 8\n51571 ' elastic' 8\n51572 ' elderly' 8\n51573 ' elected' 8\n51574 ' electro' 8\n51575 ' elegant' 8\n51576 ' element' 8\n51577 ' elevate' 8\n51578 ' ellipse' 8\n51579 ' elusive' 8\n51580 ' emailed' 8\n51581 ' embargo' 8\n51582 ' embassy' 8\n51583 ' embrace' 8\n51584 ' embryos' 8\n51585 ' emerged' 8\n51586 ' emerges' 8\n51587 ' eminent' 8\n51588 ' emitted' 8\n51589 ' emitter' 8\n51590 ' emotion' 8\n51591 ' empathy' 8\n51592 ' emperor' 8\n51593 ' employs' 8\n51594 ' empower' 8\n51595 ' empresa' 8\n51596 ' enabled' 8\n51597 ' enables' 8\n51598 ' enacted' 8\n51599 ' enchant' 8\n51600 ' encoded' 8\n51601 ' encoder' 8\n51602 ' encontr' 8\n51603 ' encrypt' 8\n51604 ' encuent' 8\n51605 ' endemic' 8\n51606 ' endings' 8\n51607 ' endless' 8\n51608 ' endorse' 8\n51609 ' endowed' 8\n51610 ' endured' 8\n51611 ' enemies' 8\n51612 ' enfants' 8\n51613 ' enforce' 8\n51614 ' engaged' 8\n51615 ' engages' 8\n51616 ' engines' 8\n51617 ' english' 8\n51618 ' enhance' 8\n51619 ' enjoyed' 8\n51620 ' enlarge' 8\n51621 ' enlight' 8\n51622 ' ensuing' 8\n51623 ' ensuite' 8\n51624 ' ensured' 8\n51625 ' ensures' 8\n51626 ' entails' 8\n51627 ' entered' 8\n51628 ' enthusi' 8\n51629 ' entrada' 8\n51630 ' entries' 8\n51631 ' entropy' 8\n51632 ' entwick' 8\n51633 ' envelop' 8\n51634 ' environ' 8\n51635 ' enzymes' 8\n51636 ' epidemi' 8\n51637 ' episode' 8\n51638 ' epsilon' 8\n51639 ' equally' 8\n51640 ' equilib' 8\n51641 ' equival' 8\n51642 ' erected' 8\n51643 ' erosion' 8\n51644 ' erupted' 8\n51645 ' escaped' 8\n51646 ' escapes' 8\n51647 ' espaço' 8\n51648 ' espèce' 8\n51649 ' essence' 8\n51650 ' estable' 8\n51651 ' estamos' 8\n51652 ' estates' 8\n51653 ' estruct' 8\n51654 ' estudio' 8\n51655 ' eternal' 8\n51656 ' ethanol' 8\n51657 ' ethical' 8\n51658 ' europé' 8\n51659 ' evangel' 8\n51660 ' evening' 8\n51661 ' evident' 8\n51662 ' evolved' 8\n51663 ' evolves' 8\n51664 ' exacerb' 8\n51665 ' exactly' 8\n51666 ' exagger' 8\n51667 ' examine' 8\n51668 ' example' 8\n51669 ' exceeds' 8\n51670 ' excerpt' 8\n51671 ' excited' 8\n51672 ' exclude' 8\n51673 ' excuses' 8\n51674 ' execute' 8\n51675 ' exemple' 8\n51676 ' exemplo' 8\n51677 ' exerted' 8\n51678 ' exhaust' 8\n51679 ' exhibit' 8\n51680 ' existed' 8\n51681 ' exiting' 8\n51682 ' expands' 8\n51683 ' expects' 8\n51684 ' expense' 8\n51685 ' experts' 8\n51686 ' expired' 8\n51687 ' expires' 8\n51688 ' explain' 8\n51689 ' explode' 8\n51690 ' exploit' 8\n51691 ' explore' 8\n51692 ' exports' 8\n51693 ' exposed' 8\n51694 ' exposes' 8\n51695 ' express' 8\n51696 ' extends' 8\n51697 ' extinct' 8\n51698 ' extract' 8\n51699 ' extreme' 8\n51700 ' fabrics' 8\n51701 ' facilit' 8\n51702 ' faction' 8\n51703 ' factors' 8\n51704 ' factory' 8\n51705 ' factual' 8\n51706 ' faculty' 8\n51707 ' failing' 8\n51708 ' failure' 8\n51709 ' falling' 8\n51710 ' falsely' 8\n51711 ' familia' 8\n51712 ' famille' 8\n51713 ' fantasy' 8\n51714 ' farmers' 8\n51715 ' farming' 8\n51716 ' farther' 8\n51717 ' fashion' 8\n51718 ' fastest' 8\n51719 ' fasting' 8\n51720 ' fathers' 8\n51721 ' fatigue' 8\n51722 ' favored' 8\n51723 ' fearful' 8\n51724 ' feather' 8\n51725 ' feature' 8\n51726 ' federal' 8\n51727 ' feeding' 8\n51728 ' feeling' 8\n51729 ' fellows' 8\n51730 ' females' 8\n51731 ' ferment' 8\n51732 ' fertile' 8\n51733 ' fetched' 8\n51734 ' fichier' 8\n51735 ' fiction' 8\n51736 ' fifteen' 8\n51737 ' fighter' 8\n51738 ' figured' 8\n51739 ' figures' 8\n51740 ' filings' 8\n51741 ' filling' 8\n51742 ' filming' 8\n51743 ' filters' 8\n51744 ' finally' 8\n51745 ' finance' 8\n51746 ' finding' 8\n51747 ' fingers' 8\n51748 ' fingert' 8\n51749 ' firearm' 8\n51750 ' firefox' 8\n51751 ' firstly' 8\n51752 ' fishing' 8\n51753 ' fitness' 8\n51754 ' fitting' 8\n51755 ' fixture' 8\n51756 ' flashed' 8\n51757 ' flashes' 8\n51758 ' flatten' 8\n51759 ' flavors' 8\n51760 ' flavour' 8\n51761 ' fleeing' 8\n51762 ' flights' 8\n51763 ' flipped' 8\n51764 ' floated' 8\n51765 ' flooded' 8\n51766 ' flowers' 8\n51767 ' flowing' 8\n51768 ' fluores' 8\n51769 ' flushed' 8\n51770 ' focused' 8\n51771 ' focuses' 8\n51772 ' folders' 8\n51773 ' folding' 8\n51774 ' foliage' 8\n51775 ' follows' 8\n51776 ' foolish' 8\n51777 ' footage' 8\n51778 ' footing' 8\n51779 ' forcing' 8\n51780 ' foreach' 8\n51781 ' forearm' 8\n51782 ' foreign' 8\n51783 ' foresee' 8\n51784 ' forests' 8\n51785 ' forever' 8\n51786 ' forgive' 8\n51787 ' formats' 8\n51788 ' forming' 8\n51789 ' formula' 8\n51790 ' fortune' 8\n51791 ' forward' 8\n51792 ' fossils' 8\n51793 ' founded' 8\n51794 ' founder' 8\n51795 ' fprintf' 8\n51796 ' fragile' 8\n51797 ' framing' 8\n51798 ' frankly' 8\n51799 ' freedom' 8\n51800 ' freezer' 8\n51801 ' freight' 8\n51802 ' freshly' 8\n51803 ' friends' 8\n51804 ' frontal' 8\n51805 ' frowned' 8\n51806 ' früher' 8\n51807 ' fucking' 8\n51808 ' fulfill' 8\n51809 ' funcion' 8\n51810 ' functor' 8\n51811 ' funding' 8\n51812 ' funeral' 8\n51813 ' furious' 8\n51814 ' furnace' 8\n51815 ' furnish' 8\n51816 ' further' 8\n51817 ' futures' 8\n51818 ' första' 8\n51819 ' første' 8\n51820 ' fútbol' 8\n51821 ' führte' 8\n51822 ' gaining' 8\n51823 ' gallery' 8\n51824 ' gallons' 8\n51825 ' garbage' 8\n51826 ' gardens' 8\n51827 ' garment' 8\n51828 ' gastric' 8\n51829 ' gateway' 8\n51830 ' gehört' 8\n51831 ' gemäß' 8\n51832 ' general' 8\n51833 ' generic' 8\n51834 ' genesis' 8\n51835 ' genetic' 8\n51836 ' genital' 8\n51837 ' genomes' 8\n51838 ' genomic' 8\n51839 ' genuine' 8\n51840 ' gestion' 8\n51841 ' gesture' 8\n51842 ' getData' 8\n51843 ' getattr' 8\n51844 ' getting' 8\n51845 ' glacier' 8\n51846 ' glanced' 8\n51847 ' glasses' 8\n51848 ' glimpse' 8\n51849 ' glitter' 8\n51850 ' globals' 8\n51851 ' glowing' 8\n51852 ' glucose' 8\n51853 ' goddess' 8\n51854 ' goodbye' 8\n51855 ' governo' 8\n51856 ' governs' 8\n51857 ' grabbed' 8\n51858 ' grading' 8\n51859 ' gradual' 8\n51860 ' grammar' 8\n51861 ' grandes' 8\n51862 ' granite' 8\n51863 ' granted' 8\n51864 ' graphic' 8\n51865 ' gravity' 8\n51866 ' grazing' 8\n51867 ' greater' 8\n51868 ' greatly' 8\n51869 ' greeted' 8\n51870 ' grilled' 8\n51871 ' grinned' 8\n51872 ' grocery' 8\n51873 ' grounds' 8\n51874 ' grouped' 8\n51875 ' growers' 8\n51876 ' growing' 8\n51877 ' großen' 8\n51878 ' guarded' 8\n51879 ' guessed' 8\n51880 ' guiding' 8\n51881 ' guitars' 8\n51882 ' género' 8\n51883 ' główn' 8\n51884 ' habitat' 8\n51885 ' habían' 8\n51886 ' hackers' 8\n51887 ' hacking' 8\n51888 ' halfway' 8\n51889 ' hallway' 8\n51890 ' handful' 8\n51891 ' handing' 8\n51892 ' handled' 8\n51893 ' handler' 8\n51894 ' handles' 8\n51895 ' hanging' 8\n51896 ' happens' 8\n51897 ' happier' 8\n51898 ' happily' 8\n51899 ' harbour' 8\n51900 ' hardest' 8\n51901 ' harmful' 8\n51902 ' harmony' 8\n51903 ' harness' 8\n51904 ' harvest' 8\n51905 ' hashtag' 8\n51906 ' hastily' 8\n51907 ' haunted' 8\n51908 ' hazards' 8\n51909 ' headers' 8\n51910 ' heading' 8\n51911 ' headset' 8\n51912 ' healing' 8\n51913 ' healthy' 8\n51914 ' hearing' 8\n51915 ' heating' 8\n51916 ' heatmap' 8\n51917 ' heavens' 8\n51918 ' heavier' 8\n51919 ' heavily' 8\n51920 ' heights' 8\n51921 ' helpers' 8\n51922 ' helpful' 8\n51923 ' helping' 8\n51924 ' hemorrh' 8\n51925 ' herself' 8\n51926 ' highest' 8\n51927 ' highway' 8\n51928 ' himself' 8\n51929 ' history' 8\n51930 ' hitting' 8\n51931 ' holders' 8\n51932 ' holding' 8\n51933 ' holiday' 8\n51934 ' hombres' 8\n51935 ' homolog' 8\n51936 ' honesty' 8\n51937 ' honored' 8\n51938 ' hopeful' 8\n51939 ' hopping' 8\n51940 ' horizon' 8\n51941 ' hormone' 8\n51942 ' horrors' 8\n51943 ' hostage' 8\n51944 ' hostile' 8\n51945 ' hosting' 8\n51946 ' hottest' 8\n51947 ' housing' 8\n51948 ' however' 8\n51949 ' hundred' 8\n51950 ' hunters' 8\n51951 ' hunting' 8\n51952 ' hurried' 8\n51953 ' hurting' 8\n51954 ' husband' 8\n51955 ' hybrids' 8\n51956 ' hydroph' 8\n51957 ' hygiene' 8\n51958 ' häufig' 8\n51959 ' ideally' 8\n51960 ' ignored' 8\n51961 ' ignores' 8\n51962 ' illegal' 8\n51963 ' illicit' 8\n51964 ' illness' 8\n51965 ' illumin' 8\n51966 ' illustr' 8\n51967 ' imagery' 8\n51968 ' imagine' 8\n51969 ' imaging' 8\n51970 ' immense' 8\n51971 ' immobil' 8\n51972 ' impacts' 8\n51973 ' implant' 8\n51974 ' implied' 8\n51975 ' implies' 8\n51976 ' imports' 8\n51977 ' imposed' 8\n51978 ' imposes' 8\n51979 ' impover' 8\n51980 ' impress' 8\n51981 ' imprint' 8\n51982 ' improve' 8\n51983 ' impulse' 8\n51984 ' inaccur' 8\n51985 ' inadequ' 8\n51986 ' inaugur' 8\n51987 ' include' 8\n51988 ' incomes' 8\n51989 ' indexed' 8\n51990 ' indexes' 8\n51991 ' indices' 8\n51992 ' individ' 8\n51993 ' indoors' 8\n51994 ' induced' 8\n51995 ' induces' 8\n51996 ' indulge' 8\n51997 ' inertia' 8\n51998 ' infancy' 8\n51999 ' infants' 8\n52000 ' infiltr' 8\n52001 ' inflamm' 8\n52002 ' inflict' 8\n52003 ' informs' 8\n52004 ' infring' 8\n52005 ' infused' 8\n52006 ' inglés' 8\n52007 ' inglês' 8\n52008 ' ingress' 8\n52009 ' inhabit' 8\n52010 ' inherit' 8\n52011 ' inhibit' 8\n52012 ' inicial' 8\n52013 ' initial' 8\n52014 ' injured' 8\n52015 ' inmates' 8\n52016 ' innings' 8\n52017 ' inquire' 8\n52018 ' inquiry' 8\n52019 ' insects' 8\n52020 ' inserts' 8\n52021 ' insider' 8\n52022 ' insight' 8\n52023 ' insists' 8\n52024 ' inspect' 8\n52025 ' inspire' 8\n52026 ' install' 8\n52027 ' instant' 8\n52028 ' instead' 8\n52029 ' insulin' 8\n52030 ' insults' 8\n52031 ' insured' 8\n52032 ' insurer' 8\n52033 ' integer' 8\n52034 ' intends' 8\n52035 ' intense' 8\n52036 ' intents' 8\n52037 ' interim' 8\n52038 ' intertw' 8\n52039 ' intimid' 8\n52040 ' intoler' 8\n52041 ' intrins' 8\n52042 ' introdu' 8\n52043 ' intégr' 8\n52044 ' invaded' 8\n52045 ' invalid' 8\n52046 ' inverse' 8\n52047 ' invited' 8\n52048 ' invites' 8\n52049 ' invoice' 8\n52050 ' invoked' 8\n52051 ' involve' 8\n52052 ' início' 8\n52053 ' islands' 8\n52054 ' isolate' 8\n52055 ' issuing' 8\n52056 ' iterate' 8\n52057 ' január' 8\n52058 ' janvier' 8\n52059 ' jealous' 8\n52060 ' jeopard' 8\n52061 ' jewelry' 8\n52062 ' joining' 8\n52063 ' jointly' 8\n52064 ' journal' 8\n52065 ' journey' 8\n52066 ' judging' 8\n52067 ' jumping' 8\n52068 ' justice' 8\n52069 ' justify' 8\n52070 ' július' 8\n52071 ' június' 8\n52072 ' keeping' 8\n52073 ' kernels' 8\n52074 ' keyword' 8\n52075 ' kicking' 8\n52076 ' kidding' 8\n52077 ' kidneys' 8\n52078 ' killers' 8\n52079 ' killing' 8\n52080 ' kilomet' 8\n52081 ' kinetic' 8\n52082 ' kingdom' 8\n52083 ' király' 8\n52084 ' kissing' 8\n52085 ' kitchen' 8\n52086 ' knocked' 8\n52087 ' knowing' 8\n52088 ' können' 8\n52089 ' könnte' 8\n52090 ' labeled' 8\n52091 ' lacking' 8\n52092 ' landing' 8\n52093 ' laptops' 8\n52094 ' largely' 8\n52095 ' largest' 8\n52096 ' lasting' 8\n52097 ' latency' 8\n52098 ' lateral' 8\n52099 ' lattice' 8\n52100 ' laughed' 8\n52101 ' laundry' 8\n52102 ' lawsuit' 8\n52103 ' lawyers' 8\n52104 ' layered' 8\n52105 ' layouts' 8\n52106 ' leaders' 8\n52107 ' leading' 8\n52108 ' leagues' 8\n52109 ' leakage' 8\n52110 ' leaking' 8\n52111 ' leaning' 8\n52112 ' learned' 8\n52113 ' learner' 8\n52114 ' leather' 8\n52115 ' leaving' 8\n52116 ' lecture' 8\n52117 ' legally' 8\n52118 ' legends' 8\n52119 ' legitim' 8\n52120 ' leisure' 8\n52121 ' lenders' 8\n52122 ' lending' 8\n52123 ' lengths' 8\n52124 ' lengthy' 8\n52125 ' lesbian' 8\n52126 ' lesions' 8\n52127 ' lessons' 8\n52128 ' letters' 8\n52129 ' letting' 8\n52130 ' lettuce' 8\n52131 ' lexical' 8\n52132 ' liberal' 8\n52133 ' liberty' 8\n52134 ' library' 8\n52135 ' licence' 8\n52136 ' license' 8\n52137 ' lifting' 8\n52138 ' lighter' 8\n52139 ' lightly' 8\n52140 ' limited' 8\n52141 ' lineage' 8\n52142 ' linkage' 8\n52143 ' linking' 8\n52144 ' liquids' 8\n52145 ' listing' 8\n52146 ' literal' 8\n52147 ' lithium' 8\n52148 ' loading' 8\n52149 ' locales' 8\n52150 ' locally' 8\n52151 ' located' 8\n52152 ' locking' 8\n52153 ' logging' 8\n52154 ' logical' 8\n52155 ' longest' 8\n52156 ' longing' 8\n52157 ' looking' 8\n52158 ' looming' 8\n52159 ' looping' 8\n52160 ' loosely' 8\n52161 ' lorsque' 8\n52162 ' lottery' 8\n52163 ' lowered' 8\n52164 ' loyalty' 8\n52165 ' luggage' 8\n52166 ' länkar' 8\n52167 ' machine' 8\n52168 ' macroph' 8\n52169 ' madness' 8\n52170 ' magical' 8\n52171 ' magnets' 8\n52172 ' mailing' 8\n52173 ' malaria' 8\n52174 ' malware' 8\n52175 ' mammals' 8\n52176 ' managed' 8\n52177 ' manager' 8\n52178 ' manages' 8\n52179 ' mandate' 8\n52180 ' mankind' 8\n52181 ' manners' 8\n52182 ' mansion' 8\n52183 ' mapping' 8\n52184 ' marched' 8\n52185 ' marché' 8\n52186 ' margins' 8\n52187 ' marital' 8\n52188 ' markers' 8\n52189 ' markets' 8\n52190 ' marking' 8\n52191 ' married' 8\n52192 ' martial' 8\n52193 ' masking' 8\n52194 ' massage' 8\n52195 ' massive' 8\n52196 ' masters' 8\n52197 ' mastery' 8\n52198 ' masturb' 8\n52199 ' matched' 8\n52200 ' matches' 8\n52201 ' matters' 8\n52202 ' matéri' 8\n52203 ' maximal' 8\n52204 ' maximum' 8\n52205 ' mañana' 8\n52206 ' meaning' 8\n52207 ' measles' 8\n52208 ' measure' 8\n52209 ' medical' 8\n52210 ' medidas' 8\n52211 ' meeting' 8\n52212 ' melanch' 8\n52213 ' melting' 8\n52214 ' members' 8\n52215 ' membres' 8\n52216 ' mensaje' 8\n52217 ' menstru' 8\n52218 ' mention' 8\n52219 ' mercury' 8\n52220 ' merging' 8\n52221 ' message' 8\n52222 ' metabol' 8\n52223 ' methane' 8\n52224 ' methods' 8\n52225 ' metrics' 8\n52226 ' microbi' 8\n52227 ' migrant' 8\n52228 ' migrate' 8\n52229 ' militar' 8\n52230 ' militia' 8\n52231 ' millenn' 8\n52232 ' million' 8\n52233 ' mindful' 8\n52234 ' mindset' 8\n52235 ' mineral' 8\n52236 ' minimal' 8\n52237 ' minimum' 8\n52238 ' minutes' 8\n52239 ' minutos' 8\n52240 ' miracle' 8\n52241 ' mirrors' 8\n52242 ' missile' 8\n52243 ' missing' 8\n52244 ' mission' 8\n52245 ' mistake' 8\n52246 ' mixture' 8\n52247 ' między' 8\n52248 ' mocking' 8\n52249 ' modeled' 8\n52250 ' moderne' 8\n52251 ' modific' 8\n52252 ' modular' 8\n52253 ' modules' 8\n52254 ' modulus' 8\n52255 ' modèle' 8\n52256 ' momento' 8\n52257 ' moments' 8\n52258 ' monarch' 8\n52259 ' monitor' 8\n52260 ' monkeys' 8\n52261 ' monopol' 8\n52262 ' monster' 8\n52263 ' monthly' 8\n52264 ' morally' 8\n52265 ' morning' 8\n52266 ' mostrar' 8\n52267 ' mothers' 8\n52268 ' motions' 8\n52269 ' motives' 8\n52270 ' mounted' 8\n52271 ' movable' 8\n52272 ' mujeres' 8\n52273 ' multipl' 8\n52274 ' mundane' 8\n52275 ' mundial' 8\n52276 ' municip' 8\n52277 ' murders' 8\n52278 ' muscles' 8\n52279 ' museums' 8\n52280 ' musical' 8\n52281 ' musique' 8\n52282 ' mustard' 8\n52283 ' mutable' 8\n52284 ' mutants' 8\n52285 ' mutated' 8\n52286 ' myocard' 8\n52287 ' mystery' 8\n52288 ' máximo' 8\n52289 ' mètres' 8\n52290 ' médico' 8\n52291 ' método' 8\n52292 ' mínimo' 8\n52293 ' möchte' 8\n52294 ' música' 8\n52295 ' müssen' 8\n52296 ' narciss' 8\n52297 ' następ' 8\n52298 ' nations' 8\n52299 ' natural' 8\n52300 ' nearest' 8\n52301 ' needing' 8\n52302 ' needles' 8\n52303 ' neglect' 8\n52304 ' neither' 8\n52305 ' nervous' 8\n52306 ' nesting' 8\n52307 ' network' 8\n52308 ' neurons' 8\n52309 ' neutral' 8\n52310 ' neutron' 8\n52311 ' newborn' 8\n52312 ' newline' 8\n52313 ' nhiều' 8\n52314 ' những' 8\n52315 ' ningún' 8\n52316 ' nominal' 8\n52317 ' nominee' 8\n52318 ' nonzero' 8\n52319 ' noodles' 8\n52320 ' normals' 8\n52321 ' notable' 8\n52322 ' notably' 8\n52323 ' nothing' 8\n52324 ' noticed' 8\n52325 ' notices' 8\n52326 ' notions' 8\n52327 ' nouveau' 8\n52328 ' novelty' 8\n52329 ' nowhere' 8\n52330 ' nuclear' 8\n52331 ' nucleus' 8\n52332 ' nullptr' 8\n52333 ' numbers' 8\n52334 ' numeric' 8\n52335 ' numéro' 8\n52336 ' nursery' 8\n52337 ' nursing' 8\n52338 ' nécess' 8\n52339 ' número' 8\n52340 ' nước' 8\n52341 ' obesity' 8\n52342 ' objects' 8\n52343 ' obliged' 8\n52344 ' obscure' 8\n52345 ' observe' 8\n52346 ' obvious' 8\n52347 ' offence' 8\n52348 ' offense' 8\n52349 ' offered' 8\n52350 ' officer' 8\n52351 ' offices' 8\n52352 ' offline' 8\n52353 ' offsets' 8\n52354 ' oficial' 8\n52355 ' omitted' 8\n52356 ' onClick' 8\n52357 ' onboard' 8\n52358 ' onclick' 8\n52359 ' oneself' 8\n52360 ' ongoing' 8\n52361 ' onwards' 8\n52362 ' opacity' 8\n52363 ' opción' 8\n52364 ' opening' 8\n52365 ' operand' 8\n52366 ' operate' 8\n52367 ' opinion' 8\n52368 ' opioids' 8\n52369 ' opposed' 8\n52370 ' optical' 8\n52371 ' optimal' 8\n52372 ' optimum' 8\n52373 ' options' 8\n52374 ' orbital' 8\n52375 ' ordered' 8\n52376 ' orderly' 8\n52377 ' ordinal' 8\n52378 ' organic' 8\n52379 ' organis' 8\n52380 ' organiz' 8\n52381 ' origins' 8\n52382 ' outcome' 8\n52383 ' outdoor' 8\n52384 ' outfits' 8\n52385 ' outlets' 8\n52386 ' outlier' 8\n52387 ' outline' 8\n52388 ' outlook' 8\n52389 ' outputs' 8\n52390 ' outrage' 8\n52391 ' outside' 8\n52392 ' outward' 8\n52393 ' ovarian' 8\n52394 ' overall' 8\n52395 ' overlap' 8\n52396 ' overlay' 8\n52397 ' oversee' 8\n52398 ' package' 8\n52399 ' packets' 8\n52400 ' packing' 8\n52401 ' padding' 8\n52402 ' painful' 8\n52403 ' painted' 8\n52404 ' painter' 8\n52405 ' pairing' 8\n52406 ' palette' 8\n52407 ' paradox' 8\n52408 ' paralle' 8\n52409 ' parents' 8\n52410 ' parking' 8\n52411 ' parsing' 8\n52412 ' partial' 8\n52413 ' partido' 8\n52414 ' parties' 8\n52415 ' partner' 8\n52416 ' passage' 8\n52417 ' passing' 8\n52418 ' passion' 8\n52419 ' passive' 8\n52420 ' pasture' 8\n52421 ' patches' 8\n52422 ' patents' 8\n52423 ' pathway' 8\n52424 ' patient' 8\n52425 ' patriot' 8\n52426 ' patrons' 8\n52427 ' pattern' 8\n52428 ' payable' 8\n52429 ' payload' 8\n52430 ' payment' 8\n52431 ' payroll' 8\n52432 ' países' 8\n52433 ' peasant' 8\n52434 ' pellets' 8\n52435 ' penalty' 8\n52436 ' pendant' 8\n52437 ' pending' 8\n52438 ' pension' 8\n52439 ' peoples' 8\n52440 ' peppers' 8\n52441 ' peptide' 8\n52442 ' percent' 8\n52443 ' percept' 8\n52444 ' perché' 8\n52445 ' perfect' 8\n52446 ' perform' 8\n52447 ' perfume' 8\n52448 ' perhaps' 8\n52449 ' periodo' 8\n52450 ' periods' 8\n52451 ' permits' 8\n52452 ' perplex' 8\n52453 ' persist' 8\n52454 ' persona' 8\n52455 ' personn' 8\n52456 ' persons' 8\n52457 ' persön' 8\n52458 ' perturb' 8\n52459 ' pessoas' 8\n52460 ' peuvent' 8\n52461 ' phantom' 8\n52462 ' pharmac' 8\n52463 ' photons' 8\n52464 ' phrases' 8\n52465 ' physics' 8\n52466 ' picking' 8\n52467 ' picture' 8\n52468 ' pigment' 8\n52469 ' pillars' 8\n52470 ' pioneer' 8\n52471 ' pirates' 8\n52472 ' pitched' 8\n52473 ' pitcher' 8\n52474 ' pitches' 8\n52475 ' pivotal' 8\n52476 ' piłkar' 8\n52477 ' placebo' 8\n52478 ' placing' 8\n52479 ' plagued' 8\n52480 ' plainly' 8\n52481 ' plaisir' 8\n52482 ' planets' 8\n52483 ' planned' 8\n52484 ' planner' 8\n52485 ' planted' 8\n52486 ' plaster' 8\n52487 ' plastic' 8\n52488 ' plateau' 8\n52489 ' players' 8\n52490 ' playful' 8\n52491 ' playing' 8\n52492 ' playoff' 8\n52493 ' pleaded' 8\n52494 ' pleased' 8\n52495 ' pledged' 8\n52496 ' plotted' 8\n52497 ' plugged' 8\n52498 ' plugins' 8\n52499 ' plunged' 8\n52500 ' plutôt' 8\n52501 ' pockets' 8\n52502 ' podcast' 8\n52503 ' podemos' 8\n52504 ' poderá' 8\n52505 ' podría' 8\n52506 ' pointed' 8\n52507 ' pointer' 8\n52508 ' policym' 8\n52509 ' politic' 8\n52510 ' polling' 8\n52511 ' polygon' 8\n52512 ' polymer' 8\n52513 ' pooling' 8\n52514 ' poorest' 8\n52515 ' popping' 8\n52516 ' popular' 8\n52517 ' portion' 8\n52518 ' portray' 8\n52519 ' posible' 8\n52520 ' possess' 8\n52521 ' posters' 8\n52522 ' posting' 8\n52523 ' postpon' 8\n52524 ' posture' 8\n52525 ' potency' 8\n52526 ' poultry' 8\n52527 ' pouring' 8\n52528 ' pouvoir' 8\n52529 ' poverty' 8\n52530 ' powered' 8\n52531 ' położ' 8\n52532 ' praised' 8\n52533 ' prayers' 8\n52534 ' praying' 8\n52535 ' precise' 8\n52536 ' predict' 8\n52537 ' prefers' 8\n52538 ' premier' 8\n52539 ' premise' 8\n52540 ' premium' 8\n52541 ' prendre' 8\n52542 ' preocup' 8\n52543 ' prepare' 8\n52544 ' present' 8\n52545 ' pressed' 8\n52546 ' presses' 8\n52547 ' presume' 8\n52548 ' pretend' 8\n52549 ' pretext' 8\n52550 ' prevail' 8\n52551 ' prevent' 8\n52552 ' preview' 8\n52553 ' pricing' 8\n52554 ' priests' 8\n52555 ' primary' 8\n52556 ' primera' 8\n52557 ' primers' 8\n52558 ' princes' 8\n52559 ' princip' 8\n52560 ' printed' 8\n52561 ' printer' 8\n52562 ' println' 8\n52563 ' priorit' 8\n52564 ' prisons' 8\n52565 ' privacy' 8\n52566 ' private' 8\n52567 ' privile' 8\n52568 ' probing' 8\n52569 ' problem' 8\n52570 ' proceed' 8\n52571 ' process' 8\n52572 ' procure' 8\n52573 ' produce' 8\n52574 ' product' 8\n52575 ' produit' 8\n52576 ' produto' 8\n52577 ' profess' 8\n52578 ' profile' 8\n52579 ' profits' 8\n52580 ' program' 8\n52581 ' project' 8\n52582 ' prolong' 8\n52583 ' promise' 8\n52584 ' promote' 8\n52585 ' prompts' 8\n52586 ' pronoun' 8\n52587 ' prophet' 8\n52588 ' proport' 8\n52589 ' propose' 8\n52590 ' proprio' 8\n52591 ' prosper' 8\n52592 ' protect' 8\n52593 ' protein' 8\n52594 ' protest' 8\n52595 ' protons' 8\n52596 ' proudly' 8\n52597 ' provide' 8\n52598 ' proving' 8\n52599 ' proxies' 8\n52600 ' prudent' 8\n52601 ' pruning' 8\n52602 ' psychic' 8\n52603 ' publish' 8\n52604 ' publié' 8\n52605 ' pulling' 8\n52606 ' pumping' 8\n52607 ' pumpkin' 8\n52608 ' punched' 8\n52609 ' punches' 8\n52610 ' purpose' 8\n52611 ' pursued' 8\n52612 ' pursuit' 8\n52613 ' pushing' 8\n52614 ' putting' 8\n52615 ' puzzled' 8\n52616 ' puzzles' 8\n52617 ' pyramid' 8\n52618 ' página' 8\n52619 ' públic' 8\n52620 ' qualify' 8\n52621 ' quality' 8\n52622 ' quantum' 8\n52623 ' quarant' 8\n52624 ' quarter' 8\n52625 ' quelque' 8\n52626 ' queries' 8\n52627 ' quicker' 8\n52628 ' quickly' 8\n52629 ' quietly' 8\n52630 ' quoting' 8\n52631 ' rabbits' 8\n52632 ' radians' 8\n52633 ' radical' 8\n52634 ' railway' 8\n52635 ' rainbow' 8\n52636 ' raising' 8\n52637 ' rallies' 8\n52638 ' ranging' 8\n52639 ' ranking' 8\n52640 ' rapidly' 8\n52641 ' rapport' 8\n52642 ' ratings' 8\n52643 ' reached' 8\n52644 ' reaches' 8\n52645 ' reacted' 8\n52646 ' reactor' 8\n52647 ' readers' 8\n52648 ' readily' 8\n52649 ' reading' 8\n52650 ' realise' 8\n52651 ' realism' 8\n52652 ' reality' 8\n52653 ' realize' 8\n52654 ' reasons' 8\n52655 ' rebound' 8\n52656 ' rebuild' 8\n52657 ' rebuilt' 8\n52658 ' recalls' 8\n52659 ' receipt' 8\n52660 ' receive' 8\n52661 ' recipes' 8\n52662 ' reconoc' 8\n52663 ' records' 8\n52664 ' recount' 8\n52665 ' recover' 8\n52666 ' recruit' 8\n52667 ' recuper' 8\n52668 ' reduced' 8\n52669 ' reduces' 8\n52670 ' referee' 8\n52671 ' refined' 8\n52672 ' reflect' 8\n52673 ' reforms' 8\n52674 ' refrain' 8\n52675 ' refresh' 8\n52676 ' refugee' 8\n52677 ' refusal' 8\n52678 ' refused' 8\n52679 ' refuses' 8\n52680 ' regards' 8\n52681 ' regener' 8\n52682 ' regimen' 8\n52683 ' regimes' 8\n52684 ' regions' 8\n52685 ' registr' 8\n52686 ' região' 8\n52687 ' región' 8\n52688 ' regress' 8\n52689 ' regrets' 8\n52690 ' regular' 8\n52691 ' rehears' 8\n52692 ' rejects' 8\n52693 ' related' 8\n52694 ' relates' 8\n52695 ' relativ' 8\n52696 ' relaxed' 8\n52697 ' release' 8\n52698 ' relieve' 8\n52699 ' relinqu' 8\n52700 ' relying' 8\n52701 ' remains' 8\n52702 ' remarks' 8\n52703 ' reminds' 8\n52704 ' reminis' 8\n52705 ' remorse' 8\n52706 ' removal' 8\n52707 ' removed' 8\n52708 ' removes' 8\n52709 ' renamed' 8\n52710 ' renders' 8\n52711 ' renewal' 8\n52712 ' renewed' 8\n52713 ' rentals' 8\n52714 ' repairs' 8\n52715 ' repeats' 8\n52716 ' replace' 8\n52717 ' replica' 8\n52718 ' replied' 8\n52719 ' replies' 8\n52720 ' reports' 8\n52721 ' reprodu' 8\n52722 ' représ' 8\n52723 ' request' 8\n52724 ' require' 8\n52725 ' rescued' 8\n52726 ' reserve' 8\n52727 ' resides' 8\n52728 ' residue' 8\n52729 ' resolve' 8\n52730 ' resorts' 8\n52731 ' respect' 8\n52732 ' respond' 8\n52733 ' respons' 8\n52734 ' restart' 8\n52735 ' restaur' 8\n52736 ' resting' 8\n52737 ' restore' 8\n52738 ' results' 8\n52739 ' resumed' 8\n52740 ' retains' 8\n52741 ' retired' 8\n52742 ' retreat' 8\n52743 ' returns' 8\n52744 ' reunion' 8\n52745 ' reveals' 8\n52746 ' revenge' 8\n52747 ' revenue' 8\n52748 ' reverse' 8\n52749 ' reviews' 8\n52750 ' revised' 8\n52751 ' revisit' 8\n52752 ' revital' 8\n52753 ' revival' 8\n52754 ' revived' 8\n52755 ' revoked' 8\n52756 ' rewards' 8\n52757 ' rewrite' 8\n52758 ' rhythms' 8\n52759 ' richest' 8\n52760 ' rightly' 8\n52761 ' ringing' 8\n52762 ' rituals' 8\n52763 ' rivalry' 8\n52764 ' roasted' 8\n52765 ' robbery' 8\n52766 ' robotic' 8\n52767 ' rockets' 8\n52768 ' rocking' 8\n52769 ' rodents' 8\n52770 ' rolling' 8\n52771 ' romance' 8\n52772 ' rotated' 8\n52773 ' roughly' 8\n52774 ' rounded' 8\n52775 ' routers' 8\n52776 ' routine' 8\n52777 ' routing' 8\n52778 ' royalty' 8\n52779 ' rubbing' 8\n52780 ' rubbish' 8\n52781 ' runners' 8\n52782 ' running' 8\n52783 ' runtime' 8\n52784 ' rupture' 8\n52785 ' rushing' 8\n52786 ' rápido' 8\n52787 ' réalis' 8\n52788 ' région' 8\n52789 ' répond' 8\n52790 ' réseau' 8\n52791 ' réserv' 8\n52792 ' résult' 8\n52793 ' sadness' 8\n52794 ' sailing' 8\n52795 ' sailors' 8\n52796 ' salient' 8\n52797 ' salvage' 8\n52798 ' sampled' 8\n52799 ' sampler' 8\n52800 ' samples' 8\n52801 ' sandbox' 8\n52802 ' satisfy' 8\n52803 ' sausage' 8\n52804 ' savings' 8\n52805 ' scaling' 8\n52806 ' scandal' 8\n52807 ' scanned' 8\n52808 ' scanner' 8\n52809 ' scatter' 8\n52810 ' scenery' 8\n52811 ' schemes' 8\n52812 ' scholar' 8\n52813 ' schools' 8\n52814 ' science' 8\n52815 ' scoring' 8\n52816 ' scratch' 8\n52817 ' screams' 8\n52818 ' screens' 8\n52819 ' screwed' 8\n52820 ' scripts' 8\n52821 ' scrutin' 8\n52822 ' seafood' 8\n52823 ' sealing' 8\n52824 ' seasons' 8\n52825 ' seating' 8\n52826 ' seconds' 8\n52827 ' secrecy' 8\n52828 ' secrets' 8\n52829 ' section' 8\n52830 ' sectors' 8\n52831 ' secular' 8\n52832 ' secured' 8\n52833 ' seekers' 8\n52834 ' seeking' 8\n52835 ' seeming' 8\n52836 ' segment' 8\n52837 ' segunda' 8\n52838 ' segundo' 8\n52839 ' seismic' 8\n52840 ' seizure' 8\n52841 ' selects' 8\n52842 ' selfish' 8\n52843 ' sellers' 8\n52844 ' selling' 8\n52845 ' seminal' 8\n52846 ' seminar' 8\n52847 ' senator' 8\n52848 ' sending' 8\n52849 ' seniors' 8\n52850 ' sensing' 8\n52851 ' sensors' 8\n52852 ' sensory' 8\n52853 ' sentido' 8\n52854 ' separat' 8\n52855 ' sequest' 8\n52856 ' serious' 8\n52857 ' serpent' 8\n52858 ' servant' 8\n52859 ' servers' 8\n52860 ' service' 8\n52861 ' serving' 8\n52862 ' servlet' 8\n52863 ' sesión' 8\n52864 ' session' 8\n52865 ' setting' 8\n52866 ' settled' 8\n52867 ' seventh' 8\n52868 ' seventy' 8\n52869 ' several' 8\n52870 ' severed' 8\n52871 ' shadows' 8\n52872 ' shaking' 8\n52873 ' shallow' 8\n52874 ' shaping' 8\n52875 ' sharing' 8\n52876 ' sharpen' 8\n52877 ' sharply' 8\n52878 ' shelter' 8\n52879 ' shelves' 8\n52880 ' sheriff' 8\n52881 ' shields' 8\n52882 ' shifted' 8\n52883 ' shining' 8\n52884 ' shipped' 8\n52885 ' shocked' 8\n52886 ' shooter' 8\n52887 ' shorten' 8\n52888 ' shorter' 8\n52889 ' shortly' 8\n52890 ' shotgun' 8\n52891 ' shouldn' 8\n52892 ' shouted' 8\n52893 ' showers' 8\n52894 ' showing' 8\n52895 ' shuffle' 8\n52896 ' shutter' 8\n52897 ' shuttle' 8\n52898 ' sibling' 8\n52899 ' sidebar' 8\n52900 ' siempre' 8\n52901 ' sigmoid' 8\n52902 ' signals' 8\n52903 ' signing' 8\n52904 ' silence' 8\n52905 ' silicon' 8\n52906 ' similar' 8\n52907 ' simpler' 8\n52908 ' sincere' 8\n52909 ' singers' 8\n52910 ' singing' 8\n52911 ' singles' 8\n52912 ' sinking' 8\n52913 ' sistema' 8\n52914 ' sisters' 8\n52915 ' sitting' 8\n52916 ' située' 8\n52917 ' sixteen' 8\n52918 ' siècle' 8\n52919 ' skating' 8\n52920 ' skilled' 8\n52921 ' skillet' 8\n52922 ' skipped' 8\n52923 ' sklearn' 8\n52924 ' slammed' 8\n52925 ' slapped' 8\n52926 ' slavery' 8\n52927 ' sleeves' 8\n52928 ' slender' 8\n52929 ' sliding' 8\n52930 ' slipped' 8\n52931 ' slowing' 8\n52932 ' smaller' 8\n52933 ' smarter' 8\n52934 ' smashed' 8\n52935 ' smelled' 8\n52936 ' smiling' 8\n52937 ' smokers' 8\n52938 ' smoking' 8\n52939 ' snapped' 8\n52940 ' snippet' 8\n52941 ' sociale' 8\n52942 ' society' 8\n52943 ' sockets' 8\n52944 ' softmax' 8\n52945 ' soldier' 8\n52946 ' solicit' 8\n52947 ' soluble' 8\n52948 ' solvent' 8\n52949 ' solving' 8\n52950 ' someday' 8\n52951 ' somehow' 8\n52952 ' someone' 8\n52953 ' sondern' 8\n52954 ' sorting' 8\n52955 ' sounded' 8\n52956 ' sourced' 8\n52957 ' sources' 8\n52958 ' souvent' 8\n52959 ' spacing' 8\n52960 ' sparing' 8\n52961 ' sparked' 8\n52962 ' spatial' 8\n52963 ' speaker' 8\n52964 ' special' 8\n52965 ' species' 8\n52966 ' specify' 8\n52967 ' spectra' 8\n52968 ' spelled' 8\n52969 ' spheres' 8\n52970 ' spiders' 8\n52971 ' spilled' 8\n52972 ' spinach' 8\n52973 ' spindle' 8\n52974 ' spirits' 8\n52975 ' spoiled' 8\n52976 ' společ' 8\n52977 ' sponsor' 8\n52978 ' sposób' 8\n52979 ' spotted' 8\n52980 ' spouses' 8\n52981 ' sprayed' 8\n52982 ' spreads' 8\n52983 ' springs' 8\n52984 ' später' 8\n52985 ' squared' 8\n52986 ' squares' 8\n52987 ' squeeze' 8\n52988 ' stabbed' 8\n52989 ' stacked' 8\n52990 ' stadium' 8\n52991 ' stagger' 8\n52992 ' staging' 8\n52993 ' stained' 8\n52994 ' stalled' 8\n52995 ' stamped' 8\n52996 ' staring' 8\n52997 ' starred' 8\n52998 ' started' 8\n52999 ' starter' 8\n53000 ' startup' 8\n53001 ' stating' 8\n53002 ' station' 8\n53003 ' statist' 8\n53004 ' statues' 8\n53005 ' stature' 8\n53006 ' statute' 8\n53007 ' staying' 8\n53008 ' stealth' 8\n53009 ' stellar' 8\n53010 ' stepped' 8\n53011 ' sterile' 8\n53012 ' steroid' 8\n53013 ' steward' 8\n53014 ' stimuli' 8\n53015 ' stirred' 8\n53016 ' stomach' 8\n53017 ' stopped' 8\n53018 ' storage' 8\n53019 ' stories' 8\n53020 ' storing' 8\n53021 ' strains' 8\n53022 ' strands' 8\n53023 ' strange' 8\n53024 ' strateg' 8\n53025 ' streams' 8\n53026 ' streets' 8\n53027 ' stretch' 8\n53028 ' strides' 8\n53029 ' striker' 8\n53030 ' strikes' 8\n53031 ' strings' 8\n53032 ' stripes' 8\n53033 ' strokes' 8\n53034 ' student' 8\n53035 ' studied' 8\n53036 ' studies' 8\n53037 ' studios' 8\n53038 ' stuffed' 8\n53039 ' stunned' 8\n53040 ' styling' 8\n53041 ' stylish' 8\n53042 ' subject' 8\n53043 ' sublime' 8\n53044 ' subsequ' 8\n53045 ' subsets' 8\n53046 ' subsidi' 8\n53047 ' substit' 8\n53048 ' subtree' 8\n53049 ' subtype' 8\n53050 ' suburbs' 8\n53051 ' succeed' 8\n53052 ' success' 8\n53053 ' succès' 8\n53054 ' sucking' 8\n53055 ' suffers' 8\n53056 ' suffice' 8\n53057 ' suggest' 8\n53058 ' suicide' 8\n53059 ' sulfate' 8\n53060 ' summary' 8\n53061 ' support' 8\n53062 ' suppose' 8\n53063 ' supreme' 8\n53064 ' surface' 8\n53065 ' surfing' 8\n53066 ' surgeon' 8\n53067 ' surgery' 8\n53068 ' surname' 8\n53069 ' surpass' 8\n53070 ' surplus' 8\n53071 ' surreal' 8\n53072 ' surtout' 8\n53073 ' surveys' 8\n53074 ' survive' 8\n53075 ' suscept' 8\n53076 ' suspect' 8\n53077 ' suspend' 8\n53078 ' sustain' 8\n53079 ' swallow' 8\n53080 ' sweater' 8\n53081 ' swiftly' 8\n53082 ' swollen' 8\n53083 ' symbols' 8\n53084 ' sympath' 8\n53085 ' symptom' 8\n53086 ' synthes' 8\n53087 ' systems' 8\n53088 ' sábado' 8\n53089 ' tableau' 8\n53090 ' tablets' 8\n53091 ' tackles' 8\n53092 ' tactics' 8\n53093 ' tagging' 8\n53094 ' talents' 8\n53095 ' talking' 8\n53096 ' tamaño' 8\n53097 ' também' 8\n53098 ' tangent' 8\n53099 ' tangled' 8\n53100 ' tapping' 8\n53101 ' targets' 8\n53102 ' tariffs' 8\n53103 ' tasting' 8\n53104 ' taxable' 8\n53105 ' teacher' 8\n53106 ' teaches' 8\n53107 ' tearing' 8\n53108 ' tedious' 8\n53109 ' teenage' 8\n53110 ' televis' 8\n53111 ' telling' 8\n53112 ' temples' 8\n53113 ' tempted' 8\n53114 ' tenants' 8\n53115 ' tension' 8\n53116 ' tensors' 8\n53117 ' terrain' 8\n53118 ' testify' 8\n53119 ' testing' 8\n53120 ' textbox' 8\n53121 ' textile' 8\n53122 ' textual' 8\n53123 ' texture' 8\n53124 ' thanked' 8\n53125 ' theater' 8\n53126 ' theatre' 8\n53127 ' theorem' 8\n53128 ' theoret' 8\n53129 ' therapy' 8\n53130 ' thereby' 8\n53131 ' therein' 8\n53132 ' thereof' 8\n53133 ' thermal' 8\n53134 ' thicker' 8\n53135 ' thieves' 8\n53136 ' thinner' 8\n53137 ' thought' 8\n53138 ' threads' 8\n53139 ' threats' 8\n53140 ' through' 8\n53141 ' thunder' 8\n53142 ' thyroid' 8\n53143 ' tickets' 8\n53144 ' tighter' 8\n53145 ' tightly' 8\n53146 ' timeout' 8\n53147 ' tissues' 8\n53148 ' tkinter' 8\n53149 ' tobacco' 8\n53150 ' toddler' 8\n53151 ' tongues' 8\n53152 ' tonight' 8\n53153 ' toolbar' 8\n53154 ' toolbox' 8\n53155 ' toolkit' 8\n53156 ' tooltip' 8\n53157 ' topical' 8\n53158 ' torment' 8\n53159 ' tornado' 8\n53160 ' torrent' 8\n53161 ' torture' 8\n53162 ' totally' 8\n53163 ' touched' 8\n53164 ' touches' 8\n53165 ' tougher' 8\n53166 ' touring' 8\n53167 ' tourism' 8\n53168 ' tourist' 8\n53169 ' towards' 8\n53170 ' trabajo' 8\n53171 ' tracing' 8\n53172 ' tracked' 8\n53173 ' tracker' 8\n53174 ' tractor' 8\n53175 ' traders' 8\n53176 ' trading' 8\n53177 ' traffic' 8\n53178 ' tragedy' 8\n53179 ' trailer' 8\n53180 ' trained' 8\n53181 ' trainer' 8\n53182 ' traject' 8\n53183 ' transit' 8\n53184 ' trapped' 8\n53185 ' travail' 8\n53186 ' travels' 8\n53187 ' travers' 8\n53188 ' través' 8\n53189 ' treason' 8\n53190 ' treated' 8\n53191 ' tremend' 8\n53192 ' tribute' 8\n53193 ' trigger' 8\n53194 ' trilogy' 8\n53195 ' trimmed' 8\n53196 ' triples' 8\n53197 ' triplet' 8\n53198 ' triumph' 8\n53199 ' trivial' 8\n53200 ' trouble' 8\n53201 ' trouver' 8\n53202 ' trouvé' 8\n53203 ' trusted' 8\n53204 ' trustee' 8\n53205 ' tsunami' 8\n53206 ' tuition' 8\n53207 ' tunnels' 8\n53208 ' turbine' 8\n53209 ' turmoil' 8\n53210 ' turning' 8\n53211 ' turnout' 8\n53212 ' tweeted' 8\n53213 ' twisted' 8\n53214 ' twitter' 8\n53215 ' typedef' 8\n53216 ' typical' 8\n53217 ' tématu' 8\n53218 ' términ' 8\n53219 ' título' 8\n53220 ' unavoid' 8\n53221 ' unaware' 8\n53222 ' unclear' 8\n53223 ' uncover' 8\n53224 ' undergo' 8\n53225 ' underst' 8\n53226 ' unequal' 8\n53227 ' unequiv' 8\n53228 ' unhappy' 8\n53229 ' unicode' 8\n53230 ' unicorn' 8\n53231 ' unified' 8\n53232 ' uniform' 8\n53233 ' unitary' 8\n53234 ' univers' 8\n53235 ' unknown' 8\n53236 ' unnamed' 8\n53237 ' unravel' 8\n53238 ' unusual' 8\n53239 ' updated' 8\n53240 ' updates' 8\n53241 ' upgrade' 8\n53242 ' upright' 8\n53243 ' upwards' 8\n53244 ' uranium' 8\n53245 ' urgency' 8\n53246 ' urinary' 8\n53247 ' useless' 8\n53248 ' usually' 8\n53249 ' usuario' 8\n53250 ' utility' 8\n53251 ' utilize' 8\n53252 ' uttered' 8\n53253 ' utterly' 8\n53254 ' vacancy' 8\n53255 ' vaccine' 8\n53256 ' vaginal' 8\n53257 ' vaguely' 8\n53258 ' valleys' 8\n53259 ' valores' 8\n53260 ' vampire' 8\n53261 ' vanilla' 8\n53262 ' varchar' 8\n53263 ' variant' 8\n53264 ' variety' 8\n53265 ' various' 8\n53266 ' varying' 8\n53267 ' vectors' 8\n53268 ' vehicle' 8\n53269 ' vendors' 8\n53270 ' ventral' 8\n53271 ' venture' 8\n53272 ' verbose' 8\n53273 ' verdade' 8\n53274 ' verdict' 8\n53275 ' version' 8\n53276 ' veröff' 8\n53277 ' vessels' 8\n53278 ' veteran' 8\n53279 ' veterin' 8\n53280 ' vibrant' 8\n53281 ' vicious' 8\n53282 ' victims' 8\n53283 ' victory' 8\n53284 ' vidéos' 8\n53285 ' viewers' 8\n53286 ' viewing' 8\n53287 ' village' 8\n53288 ' villain' 8\n53289 ' vinegar' 8\n53290 ' vintage' 8\n53291 ' violate' 8\n53292 ' violent' 8\n53293 ' virtual' 8\n53294 ' virtues' 8\n53295 ' viruses' 8\n53296 ' visible' 8\n53297 ' visions' 8\n53298 ' visited' 8\n53299 ' visitor' 8\n53300 ' visuals' 8\n53301 ' vitamin' 8\n53302 ' volcano' 8\n53303 ' voltage' 8\n53304 ' volumes' 8\n53305 ' volunte' 8\n53306 ' voucher' 8\n53307 ' válido' 8\n53308 ' vários' 8\n53309 ' vídeos' 8\n53310 ' waiting' 8\n53311 ' walking' 8\n53312 ' wanting' 8\n53313 ' warfare' 8\n53314 ' warming' 8\n53315 ' warning' 8\n53316 ' warrant' 8\n53317 ' warrior' 8\n53318 ' wartime' 8\n53319 ' washing' 8\n53320 ' wasting' 8\n53321 ' watched' 8\n53322 ' watches' 8\n53323 ' wealthy' 8\n53324 ' weapons' 8\n53325 ' wearing' 8\n53326 ' weather' 8\n53327 ' webpack' 8\n53328 ' webpage' 8\n53329 ' website' 8\n53330 ' wedding' 8\n53331 ' weekday' 8\n53332 ' weekend' 8\n53333 ' weighed' 8\n53334 ' weights' 8\n53335 ' welcome' 8\n53336 ' welding' 8\n53337 ' welfare' 8\n53338 ' western' 8\n53339 ' whereas' 8\n53340 ' whereby' 8\n53341 ' wherein' 8\n53342 ' whether' 8\n53343 ' whipped' 8\n53344 ' whiskey' 8\n53345 ' whisper' 8\n53346 ' whistle' 8\n53347 ' whoever' 8\n53348 ' widened' 8\n53349 ' widgets' 8\n53350 ' willing' 8\n53351 ' winding' 8\n53352 ' windows' 8\n53353 ' winners' 8\n53354 ' winning' 8\n53355 ' wishing' 8\n53356 ' without' 8\n53357 ' witness' 8\n53358 ' więcej' 8\n53359 ' wonders' 8\n53360 ' wording' 8\n53361 ' workers' 8\n53362 ' working' 8\n53363 ' workout' 8\n53364 ' worried' 8\n53365 ' worries' 8\n53366 ' worship' 8\n53367 ' wounded' 8\n53368 ' wrapped' 8\n53369 ' wrapper' 8\n53370 ' writers' 8\n53371 ' writing' 8\n53372 ' written' 8\n53373 ' wrongly' 8\n53374 ' współ' 8\n53375 ' würden' 8\n53376 ' yelling' 8\n53377 ' yielded' 8\n53378 ' younger' 8\n53379 ' youtube' 8\n53380 ' został' 8\n53381 ' zurück' 8\n53382 ' Årsmed' 8\n53383 ' économ' 8\n53384 ' écrire' 8\n53385 ' équipe' 8\n53386 ' études' 8\n53387 ' öffent' 8\n53388 ' última' 8\n53389 ' último' 8\n53390 ' định' 8\n53391 ' động' 8\n53392 ' świata' 8\n53393 '!!!!!!!!' 8\n53394 '########' 8\n53395 '%%%%%%%%' 8\n53396 '********' 8\n53397 '++++++++' 8\n53398 '--------' 8\n53399 '........' 8\n53400 '////////' 8\n53401 '::::::::' 8\n53402 '<<<<<<<<' 8\n53403 '========' 8\n53404 'AAAAAAAA' 8\n53405 'Absolute' 8\n53406 'Abstract' 8\n53407 'Accessor' 8\n53408 'Accuracy' 8\n53409 'Activate' 8\n53410 'Activity' 8\n53411 'Actually' 8\n53412 'Advanced' 8\n53413 'Although' 8\n53414 'American' 8\n53415 'Analysis' 8\n53416 'Anderson' 8\n53417 'Anything' 8\n53418 'Argument' 8\n53419 'Articles' 8\n53420 'Assembly' 8\n53421 'Assuming' 8\n53422 'Atlantic' 8\n53423 'Baseline' 8\n53424 'Behavior' 8\n53425 'Bookmark' 8\n53426 'Boundary' 8\n53427 'Bounding' 8\n53428 'Buffered' 8\n53429 'Building' 8\n53430 'Business' 8\n53431 'CRIPTION' 8\n53432 'Calendar' 8\n53433 'Callable' 8\n53434 'Callback' 8\n53435 'Campaign' 8\n53436 'Canadian' 8\n53437 'Capacity' 8\n53438 'Category' 8\n53439 'Changing' 8\n53440 'Channels' 8\n53441 'CheckBox' 8\n53442 'Checkbox' 8\n53443 'Checking' 8\n53444 'Children' 8\n53445 'Clinical' 8\n53446 'ComboBox' 8\n53447 'Commands' 8\n53448 'Comments' 8\n53449 'Commerce' 8\n53450 'Communic' 8\n53451 'Compiler' 8\n53452 'Complete' 8\n53453 'Compound' 8\n53454 'Computer' 8\n53455 'Conflict' 8\n53456 'Congress' 8\n53457 'Consider' 8\n53458 'Constant' 8\n53459 'Consumer' 8\n53460 'Contacts' 8\n53461 'Contains' 8\n53462 'Contents' 8\n53463 'Continue' 8\n53464 'Contract' 8\n53465 'Controls' 8\n53466 'Coverage' 8\n53467 'Creating' 8\n53468 'Creation' 8\n53469 'Criteria' 8\n53470 'Critical' 8\n53471 'Currency' 8\n53472 'Customer' 8\n53473 'DATABASE' 8\n53474 'DOCUMENT' 8\n53475 'DOWNLOAD' 8\n53476 'DataType' 8\n53477 'Database' 8\n53478 'DateTime' 8\n53479 'December' 8\n53480 'Decision' 8\n53481 'Defaults' 8\n53482 'Delegate' 8\n53483 'Delivery' 8\n53484 'Designer' 8\n53485 'Detailed' 8\n53486 'Detector' 8\n53487 'Determin' 8\n53488 'Director' 8\n53489 'Disabled' 8\n53490 'Discover' 8\n53491 'Dispatch' 8\n53492 'Distance' 8\n53493 'District' 8\n53494 'Division' 8\n53495 'Document' 8\n53496 'Download' 8\n53497 'Drawable' 8\n53498 'Dropdown' 8\n53499 'Duration' 8\n53500 'EditText' 8\n53501 'Electric' 8\n53502 'Elements' 8\n53503 'Embedded' 8\n53504 'Employee' 8\n53505 'Encoding' 8\n53506 'Endpoint' 8\n53507 'Entities' 8\n53508 'Envelope' 8\n53509 'Equation' 8\n53510 'European' 8\n53511 'Evaluate' 8\n53512 'Everyone' 8\n53513 'Evidence' 8\n53514 'Examples' 8\n53515 'Exchange' 8\n53516 'Executor' 8\n53517 'Existing' 8\n53518 'Expanded' 8\n53519 'Expected' 8\n53520 'Explorer' 8\n53521 'Extended' 8\n53522 'External' 8\n53523 'FFFFFFFF' 8\n53524 'FILENAME' 8\n53525 'FUNCTION' 8\n53526 'Facebook' 8\n53527 'Fallback' 8\n53528 'Features' 8\n53529 'February' 8\n53530 'Feedback' 8\n53531 'FileName' 8\n53532 'FilePath' 8\n53533 'FileType' 8\n53534 'Filename' 8\n53535 'Finished' 8\n53536 'FontSize' 8\n53537 'Football' 8\n53538 'Footnote' 8\n53539 'Fraction' 8\n53540 'Fragment' 8\n53541 'FromFile' 8\n53542 'Function' 8\n53543 'Gaussian' 8\n53544 'Generate' 8\n53545 'Geometry' 8\n53546 'GetValue' 8\n53547 'Gradient' 8\n53548 'Graphics' 8\n53549 'GridView' 8\n53550 'Hamilton' 8\n53551 'Handlers' 8\n53552 'Handling' 8\n53553 'Hardware' 8\n53554 'Hospital' 8\n53555 'INSTANCE' 8\n53556 'INTERNAL' 8\n53557 'Identity' 8\n53558 'Implicit' 8\n53559 'Includes' 8\n53560 'Infinity' 8\n53561 'Inflater' 8\n53562 'Instance' 8\n53563 'Integral' 8\n53564 'Interest' 8\n53565 'Interior' 8\n53566 'Internal' 8\n53567 'Internet' 8\n53568 'Interval' 8\n53569 'Iterable' 8\n53570 'Iterator' 8\n53571 'Japanese' 8\n53572 'Jennifer' 8\n53573 'Jonathan' 8\n53574 'Keyboard' 8\n53575 'Keywords' 8\n53576 'LOCATION' 8\n53577 'Language' 8\n53578 'Latitude' 8\n53579 'Launcher' 8\n53580 'Learning' 8\n53581 'ListItem' 8\n53582 'ListView' 8\n53583 'Listener' 8\n53584 'Location' 8\n53585 'Manifest' 8\n53586 'Matching' 8\n53587 'Material' 8\n53588 'MenuItem' 8\n53589 'Messages' 8\n53590 'MetaData' 8\n53591 'Metadata' 8\n53592 'Military' 8\n53593 'Modified' 8\n53594 'Modifier' 8\n53595 'Moreover' 8\n53596 'Movement' 8\n53597 'Multiple' 8\n53598 'Multiply' 8\n53599 'Mutation' 8\n53600 'NSString' 8\n53601 'National' 8\n53602 'Negative' 8\n53603 'Neighbor' 8\n53604 'Northern' 8\n53605 'NotExist' 8\n53606 'NotFound' 8\n53607 'November' 8\n53608 'Nullable' 8\n53609 'NumberOf' 8\n53610 'Obrázky' 8\n53611 'Observer' 8\n53612 'Official' 8\n53613 'Operator' 8\n53614 'Optional' 8\n53615 'Original' 8\n53616 'Overflow' 8\n53617 'Override' 8\n53618 'Overview' 8\n53619 'PASSWORD' 8\n53620 'POSITION' 8\n53621 'Pakistan' 8\n53622 'Parallel' 8\n53623 'Particip' 8\n53624 'Particle' 8\n53625 'Password' 8\n53626 'Patients' 8\n53627 'Personal' 8\n53628 'Physical' 8\n53629 'Pipeline' 8\n53630 'Platform' 8\n53631 'Playlist' 8\n53632 'Position' 8\n53633 'Positive' 8\n53634 'Possible' 8\n53635 'Previous' 8\n53636 'Priority' 8\n53637 'Probably' 8\n53638 'Products' 8\n53639 'Progress' 8\n53640 'Projects' 8\n53641 'Property' 8\n53642 'Proposal' 8\n53643 'Protocol' 8\n53644 'Provider' 8\n53645 'Purchase' 8\n53646 'PyObject' 8\n53647 'Quantity' 8\n53648 'Question' 8\n53649 'REGISTER' 8\n53650 'ReadOnly' 8\n53651 'Readable' 8\n53652 'Received' 8\n53653 'Receiver' 8\n53654 'Recently' 8\n53655 'Redirect' 8\n53656 'Regional' 8\n53657 'Register' 8\n53658 'Registry' 8\n53659 'Relation' 8\n53660 'Relative' 8\n53661 'Remember' 8\n53662 'Renderer' 8\n53663 'Reporter' 8\n53664 'Republic' 8\n53665 'Requests' 8\n53666 'Required' 8\n53667 'Research' 8\n53668 'Reserved' 8\n53669 'Resolver' 8\n53670 'Resource' 8\n53671 'Response' 8\n53672 'Retrieve' 8\n53673 'Revision' 8\n53674 'Rotation' 8\n53675 'SOFTWARE' 8\n53676 'Saturday' 8\n53677 'Scenario' 8\n53678 'Schedule' 8\n53679 'Sections' 8\n53680 'Security' 8\n53681 'Selected' 8\n53682 'Selector' 8\n53683 'Sentence' 8\n53684 'Sequence' 8\n53685 'Services' 8\n53686 'SetValue' 8\n53687 'Settings' 8\n53688 'Shipping' 8\n53689 'Shortcut' 8\n53690 'Snapshot' 8\n53691 'Software' 8\n53692 'Solution' 8\n53693 'Southern' 8\n53694 'Speaking' 8\n53695 'Specific' 8\n53696 'Standard' 8\n53697 'Starting' 8\n53698 'Strategy' 8\n53699 'Strength' 8\n53700 'Students' 8\n53701 'Suddenly' 8\n53702 'TEMPLATE' 8\n53703 'Template' 8\n53704 'Temporal' 8\n53705 'Terminal' 8\n53706 'TestCase' 8\n53707 'TextView' 8\n53708 'Thursday' 8\n53709 'TimeZone' 8\n53710 'ToString' 8\n53711 'Together' 8\n53712 'Tracking' 8\n53713 'Training' 8\n53714 'Transfer' 8\n53715 'TreeNode' 8\n53716 'Tutorial' 8\n53717 'TypeName' 8\n53718 'USERNAME' 8\n53719 'Unsigned' 8\n53720 'Updating' 8\n53721 'UserName' 8\n53722 'Username' 8\n53723 'Validate' 8\n53724 'Variable' 8\n53725 'Velocity' 8\n53726 'Versions' 8\n53727 'Vertical' 8\n53728 'Vertices' 8\n53729 'Victoria' 8\n53730 'ViewById' 8\n53731 'Warnings' 8\n53732 'Whatever' 8\n53733 'Whenever' 8\n53734 'Williams' 8\n53735 'Workbook' 8\n53736 'Workflow' 8\n53737 'XXXXXXXX' 8\n53738 '________' 8\n53739 'aaaaaaaa' 8\n53740 'abilité' 8\n53741 'ableView' 8\n53742 'absolute' 8\n53743 'abstract' 8\n53744 'accepted' 8\n53745 'accounts' 8\n53746 'accuracy' 8\n53747 'acements' 8\n53748 'acterial' 8\n53749 'activate' 8\n53750 'actively' 8\n53751 'activity' 8\n53752 'actually' 8\n53753 'adamente' 8\n53754 'adaptive' 8\n53755 'addClass' 8\n53756 'addition' 8\n53757 'adecimal' 8\n53758 'adelphia' 8\n53759 'adjusted' 8\n53760 'advanced' 8\n53761 'affected' 8\n53762 'affinity' 8\n53763 'agnostic' 8\n53764 'aldehyde' 8\n53765 'allocate' 8\n53766 'alloween' 8\n53767 'alphabet' 8\n53768 'although' 8\n53769 'altitude' 8\n53770 'amburger' 8\n53771 'analysis' 8\n53772 'analytic' 8\n53773 'ancellor' 8\n53774 'ancement' 8\n53775 'ancestor' 8\n53776 'ancouver' 8\n53777 'andering' 8\n53778 'andidate' 8\n53779 'aneously' 8\n53780 'anguages' 8\n53781 'animated' 8\n53782 'annotate' 8\n53783 'announce' 8\n53784 'answered' 8\n53785 'anything' 8\n53786 'appropri' 8\n53787 'approved' 8\n53788 'archives' 8\n53789 'argument' 8\n53790 'articles' 8\n53791 'artifact' 8\n53792 'ashboard' 8\n53793 'aspberry' 8\n53794 'assadors' 8\n53795 'assembly' 8\n53796 'assigned' 8\n53797 'assuming' 8\n53798 'atchewan' 8\n53799 'aterials' 8\n53800 'aternion' 8\n53801 'aternity' 8\n53802 'atherine' 8\n53803 'athering' 8\n53804 'atically' 8\n53805 'ationale' 8\n53806 'attached' 8\n53807 'attering' 8\n53808 'aturally' 8\n53809 'aturated' 8\n53810 'avanaugh' 8\n53811 'avigator' 8\n53812 'backward' 8\n53813 'balanced' 8\n53814 'balances' 8\n53815 'baseline' 8\n53816 'basename' 8\n53817 'behavior' 8\n53818 'blocking' 8\n53819 'blogspot' 8\n53820 'boarding' 8\n53821 'bookmark' 8\n53822 'boundary' 8\n53823 'breaking' 8\n53824 'buffered' 8\n53825 'building' 8\n53826 'business' 8\n53827 'calendar' 8\n53828 'callable' 8\n53829 'callback' 8\n53830 'campaign' 8\n53831 'capacity' 8\n53832 'carousel' 8\n53833 'catalina' 8\n53834 'category' 8\n53835 'centered' 8\n53836 'centroid' 8\n53837 'ceptions' 8\n53838 'changing' 8\n53839 'channels' 8\n53840 'charging' 8\n53841 'checkbox' 8\n53842 'checking' 8\n53843 'checkout' 8\n53844 'checksum' 8\n53845 'chemical' 8\n53846 'children' 8\n53847 'circular' 8\n53848 'citation' 8\n53849 'clerosis' 8\n53850 'clinical' 8\n53851 'clusions' 8\n53852 'clusters' 8\n53853 'collapse' 8\n53854 'combined' 8\n53855 'commands' 8\n53856 'comments' 8\n53857 'commerce' 8\n53858 'communic' 8\n53859 'compiled' 8\n53860 'compiler' 8\n53861 'complete' 8\n53862 'compound' 8\n53863 'compress' 8\n53864 'computed' 8\n53865 'computer' 8\n53866 'conflict' 8\n53867 'consider' 8\n53868 'constant' 8\n53869 'consumer' 8\n53870 'contains' 8\n53871 'contents' 8\n53872 'continue' 8\n53873 'contract' 8\n53874 'contrast' 8\n53875 'controll' 8\n53876 'controls' 8\n53877 'cosystem' 8\n53878 'coverage' 8\n53879 'creation' 8\n53880 'creative' 8\n53881 'criminal' 8\n53882 'cription' 8\n53883 'criteria' 8\n53884 'critical' 8\n53885 'cultural' 8\n53886 'currency' 8\n53887 'customer' 8\n53888 'dataType' 8\n53889 'database' 8\n53890 'datasets' 8\n53891 'datatype' 8\n53892 'datetime' 8\n53893 'daughter' 8\n53894 'decision' 8\n53895 'decrease' 8\n53896 'defaults' 8\n53897 'definite' 8\n53898 'delegate' 8\n53899 'deletion' 8\n53900 'delivery' 8\n53901 'describe' 8\n53902 'designed' 8\n53903 'detected' 8\n53904 'detector' 8\n53905 'determin' 8\n53906 'diagonal' 8\n53907 'diameter' 8\n53908 'directed' 8\n53909 'director' 8\n53910 'disabled' 8\n53911 'discount' 8\n53912 'discover' 8\n53913 'dispatch' 8\n53914 'distance' 8\n53915 'distinct' 8\n53916 'district' 8\n53917 'division' 8\n53918 'document' 8\n53919 'données' 8\n53920 'download' 8\n53921 'drawable' 8\n53922 'dropdown' 8\n53923 'ducation' 8\n53924 'duration' 8\n53925 'dynamics' 8\n53926 'economic' 8\n53927 'editable' 8\n53928 'educated' 8\n53929 'election' 8\n53930 'electric' 8\n53931 'electron' 8\n53932 'elements' 8\n53933 'eligible' 8\n53934 'ellation' 8\n53935 'elligent' 8\n53936 'embedded' 8\n53937 'emission' 8\n53938 'emphasis' 8\n53939 'employed' 8\n53940 'employee' 8\n53941 'emporary' 8\n53942 'enchmark' 8\n53943 'encoding' 8\n53944 'endpoint' 8\n53945 'enerated' 8\n53946 'engeance' 8\n53947 'enhanced' 8\n53948 'ennessee' 8\n53949 'ensation' 8\n53950 'ensemble' 8\n53951 'ensitive' 8\n53952 'ensively' 8\n53953 'entially' 8\n53954 'entities' 8\n53955 'equality' 8\n53956 'equation' 8\n53957 'eração' 8\n53958 'erialize' 8\n53959 'ertation' 8\n53960 'ervation' 8\n53961 'essional' 8\n53962 'estation' 8\n53963 'esterday' 8\n53964 'esthetic' 8\n53965 'estimate' 8\n53966 'etheless' 8\n53967 'ethylene' 8\n53968 'etically' 8\n53969 'evaluate' 8\n53970 'evidence' 8\n53971 'ewnętrz' 8\n53972 'examples' 8\n53973 'exchange' 8\n53974 'executor' 8\n53975 'exercise' 8\n53976 'existent' 8\n53977 'existing' 8\n53978 'expanded' 8\n53979 'expected' 8\n53980 'explicit' 8\n53981 'exposure' 8\n53982 'extended' 8\n53983 'external' 8\n53984 'facebook' 8\n53985 'fallback' 8\n53986 'favorite' 8\n53987 'featured' 8\n53988 'features' 8\n53989 'feedback' 8\n53990 'ferences' 8\n53991 'ffffffff' 8\n53992 'fficient' 8\n53993 'fieldset' 8\n53994 'fighters' 8\n53995 'fileName' 8\n53996 'filePath' 8\n53997 'filename' 8\n53998 'filepath' 8\n53999 'filtered' 8\n54000 'finalize' 8\n54001 'finished' 8\n54002 'firebase' 8\n54003 'fixtures' 8\n54004 'fontSize' 8\n54005 'fontsize' 8\n54006 'football' 8\n54007 'forecast' 8\n54008 'formance' 8\n54009 'formerly' 8\n54010 'fraction' 8\n54011 'fragment' 8\n54012 'friendly' 8\n54013 'frontend' 8\n54014 'function' 8\n54015 'férence' 8\n54016 'führung' 8\n54017 'gaussian' 8\n54018 'geführt' 8\n54019 'generate' 8\n54020 'geometry' 8\n54021 'getImage' 8\n54022 'getValue' 8\n54023 'glVertex' 8\n54024 'gorithms' 8\n54025 'gradient' 8\n54026 'graduate' 8\n54027 'graphics' 8\n54028 'gression' 8\n54029 'gressive' 8\n54030 'handlers' 8\n54031 'handling' 8\n54032 'hardware' 8\n54033 'headline' 8\n54034 'heastern' 8\n54035 'hetamine' 8\n54036 'hibition' 8\n54037 'histoire' 8\n54038 'historic' 8\n54039 'homepage' 8\n54040 'hospital' 8\n54041 'hostname' 8\n54042 'hydrogen' 8\n54043 'iability' 8\n54044 'ibernate' 8\n54045 'ibilidad' 8\n54046 'ibilité' 8\n54047 'ibraries' 8\n54048 'ibration' 8\n54049 'icación' 8\n54050 'icamente' 8\n54051 'ications' 8\n54052 'icação' 8\n54053 'icrobial' 8\n54054 'icrosoft' 8\n54055 'icularly' 8\n54056 'iculture' 8\n54057 'idelberg' 8\n54058 'idelines' 8\n54059 'idential' 8\n54060 'identify' 8\n54061 'identity' 8\n54062 'idepress' 8\n54063 'ifferent' 8\n54064 'ificador' 8\n54065 'ificance' 8\n54066 'igration' 8\n54067 'ilateral' 8\n54068 'iliation' 8\n54069 'ilibrium' 8\n54070 'ilingual' 8\n54071 'illation' 8\n54072 'illusion' 8\n54073 'imension' 8\n54074 'imientos' 8\n54075 'implicit' 8\n54076 'inación' 8\n54077 'inations' 8\n54078 'inação' 8\n54079 'incident' 8\n54080 'included' 8\n54081 'includes' 8\n54082 'increase' 8\n54083 'inctions' 8\n54084 'infinity' 8\n54085 'informed' 8\n54086 'initions' 8\n54087 'inspired' 8\n54088 'instance' 8\n54089 'integral' 8\n54090 'interest' 8\n54091 'internal' 8\n54092 'internet' 8\n54093 'interpol' 8\n54094 'interpre' 8\n54095 'interval' 8\n54096 'irection' 8\n54097 'irectory' 8\n54098 'isations' 8\n54099 'iseconds' 8\n54100 'issement' 8\n54101 'itations' 8\n54102 'itação' 8\n54103 'itecture' 8\n54104 'iterator' 8\n54105 'itespace' 8\n54106 'ithmetic' 8\n54107 'itlement' 8\n54108 'ivalence' 8\n54109 'ivamente' 8\n54110 'ivariate' 8\n54111 'iversary' 8\n54112 'iversity' 8\n54113 'ización' 8\n54114 'izations' 8\n54115 'ização' 8\n54116 'izophren' 8\n54117 'jections' 8\n54118 'jsfiddle' 8\n54119 'junction' 8\n54120 'keyboard' 8\n54121 'keywords' 8\n54122 'language' 8\n54123 'latitude' 8\n54124 'laughter' 8\n54125 'launcher' 8\n54126 'learning' 8\n54127 'lections' 8\n54128 'leground' 8\n54129 'leqslant' 8\n54130 'lessness' 8\n54131 'leveland' 8\n54132 'lication' 8\n54133 'licenses' 8\n54134 'lichkeit' 8\n54135 'listener' 8\n54136 'location' 8\n54137 'manifest' 8\n54138 'markdown' 8\n54139 'matching' 8\n54140 'material' 8\n54141 'mathfrak' 8\n54142 'matrices' 8\n54143 'measured' 8\n54144 'measures' 8\n54145 'mediated' 8\n54146 'messages' 8\n54147 'metadata' 8\n54148 'minister' 8\n54149 'missible' 8\n54150 'missions' 8\n54151 'modified' 8\n54152 'modifier' 8\n54153 'molecule' 8\n54154 'momentum' 8\n54155 'movement' 8\n54156 'multiple' 8\n54157 'multiply' 8\n54158 'munition' 8\n54159 'mutation' 8\n54160 'national' 8\n54161 'neapolis' 8\n54162 'negative' 8\n54163 'neighbor' 8\n54164 'nofollow' 8\n54165 'nonumber' 8\n54166 'notation' 8\n54167 'novation' 8\n54168 'nullable' 8\n54169 'numberOf' 8\n54170 'observed' 8\n54171 'observer' 8\n54172 'ocalypse' 8\n54173 'ocations' 8\n54174 'occupied' 8\n54175 'ochastic' 8\n54176 'ociation' 8\n54177 'odynamic' 8\n54178 'official' 8\n54179 'ogeneity' 8\n54180 'ogeneous' 8\n54181 'ogenesis' 8\n54182 'ognition' 8\n54183 'ognitive' 8\n54184 'ografía' 8\n54185 'ographer' 8\n54186 'ographic' 8\n54187 'olecular' 8\n54188 'olerance' 8\n54189 'oliberal' 8\n54190 'ollowing' 8\n54191 'ological' 8\n54192 'ologists' 8\n54193 'olutions' 8\n54194 'omething' 8\n54195 'ometimes' 8\n54196 'omorphic' 8\n54197 'ontology' 8\n54198 'operator' 8\n54199 'optimize' 8\n54200 'optional' 8\n54201 'opyright' 8\n54202 'ordering' 8\n54203 'ordinary' 8\n54204 'ordinate' 8\n54205 'orescent' 8\n54206 'oretical' 8\n54207 'orgetown' 8\n54208 'oriented' 8\n54209 'original' 8\n54210 'ortality' 8\n54211 'osterone' 8\n54212 'otherapy' 8\n54213 'othermal' 8\n54214 'othèque' 8\n54215 'ottenham' 8\n54216 'oubtedly' 8\n54217 'outheast' 8\n54218 'overflow' 8\n54219 'overline' 8\n54220 'override' 8\n54221 'overview' 8\n54222 'packages' 8\n54223 'parallel' 8\n54224 'paration' 8\n54225 'parseInt' 8\n54226 'particip' 8\n54227 'particle' 8\n54228 'password' 8\n54229 'patients' 8\n54230 'patterns' 8\n54231 'pecially' 8\n54232 'pectives' 8\n54233 'perature' 8\n54234 'periment' 8\n54235 'periodic' 8\n54236 'personal' 8\n54237 'physical' 8\n54238 'pipeline' 8\n54239 'piration' 8\n54240 'platform' 8\n54241 'playlist' 8\n54242 'pleasant' 8\n54243 'plements' 8\n54244 'ployment' 8\n54245 'populate' 8\n54246 'position' 8\n54247 'positive' 8\n54248 'pository' 8\n54249 'possible' 8\n54250 'possibly' 8\n54251 'postgres' 8\n54252 'practice' 8\n54253 'prepared' 8\n54254 'presence' 8\n54255 'preserve' 8\n54256 'pression' 8\n54257 'pressure' 8\n54258 'previous' 8\n54259 'printing' 8\n54260 'priority' 8\n54261 'probably' 8\n54262 'problems' 8\n54263 'produced' 8\n54264 'products' 8\n54265 'progress' 8\n54266 'projects' 8\n54267 'property' 8\n54268 'proposal' 8\n54269 'protobuf' 8\n54270 'protocol' 8\n54271 'provided' 8\n54272 'provider' 8\n54273 'purchase' 8\n54274 'putation' 8\n54275 'quantity' 8\n54276 'quarters' 8\n54277 'quential' 8\n54278 'question' 8\n54279 'quisites' 8\n54280 'ractions' 8\n54281 'rational' 8\n54282 'reaction' 8\n54283 'readable' 8\n54284 'readonly' 8\n54285 'reatment' 8\n54286 'received' 8\n54287 'receiver' 8\n54288 'recorded' 8\n54289 'rections' 8\n54290 'redients' 8\n54291 'redirect' 8\n54292 'reements' 8\n54293 'regation' 8\n54294 'regional' 8\n54295 'register' 8\n54296 'registry' 8\n54297 'relation' 8\n54298 'relative' 8\n54299 'released' 8\n54300 'relevant' 8\n54301 'remember' 8\n54302 'rendered' 8\n54303 'renderer' 8\n54304 'reported' 8\n54305 'requency' 8\n54306 'requests' 8\n54307 'required' 8\n54308 'requires' 8\n54309 'research' 8\n54310 'reserved' 8\n54311 'resident' 8\n54312 'residual' 8\n54313 'resolved' 8\n54314 'resolver' 8\n54315 'resource' 8\n54316 'response' 8\n54317 'ressions' 8\n54318 'restrial' 8\n54319 'retrieve' 8\n54320 'returned' 8\n54321 'reviewed' 8\n54322 'revision' 8\n54323 'ribution' 8\n54324 'riterion' 8\n54325 'roadcast' 8\n54326 'rollback' 8\n54327 'rollment' 8\n54328 'rotation' 8\n54329 'sampling' 8\n54330 'sanitize' 8\n54331 'scenario' 8\n54332 'schedule' 8\n54333 'schließ' 8\n54334 'sections' 8\n54335 'security' 8\n54336 'segments' 8\n54337 'selected' 8\n54338 'selector' 8\n54339 'selenium' 8\n54340 'semantic' 8\n54341 'sentence' 8\n54342 'sequence' 8\n54343 'services' 8\n54344 'setColor' 8\n54345 'setState' 8\n54346 'setTitle' 8\n54347 'setValue' 8\n54348 'setminus' 8\n54349 'settings' 8\n54350 'severity' 8\n54351 'shipping' 8\n54352 'shortcut' 8\n54353 'shutdown' 8\n54354 'singular' 8\n54355 'snapshot' 8\n54356 'software' 8\n54357 'solution' 8\n54358 'speaking' 8\n54359 'specific' 8\n54360 'spectrum' 8\n54361 'standard' 8\n54362 'standing' 8\n54363 'stantial' 8\n54364 'starting' 8\n54365 'stellung' 8\n54366 'straight' 8\n54367 'strategy' 8\n54368 'strength' 8\n54369 'strftime' 8\n54370 'structor' 8\n54371 'strument' 8\n54372 'students' 8\n54373 'subclass' 8\n54374 'subjects' 8\n54375 'subseteq' 8\n54376 'subtitle' 8\n54377 'subtract' 8\n54378 'supports' 8\n54379 'suppress' 8\n54380 'sylvania' 8\n54381 'synchron' 8\n54382 'tainment' 8\n54383 'taxonomy' 8\n54384 'tearDown' 8\n54385 'template' 8\n54386 'temporal' 8\n54387 'terminal' 8\n54388 'textarea' 8\n54389 'thinking' 8\n54390 'timeline' 8\n54391 'timezone' 8\n54392 'toString' 8\n54393 'together' 8\n54394 'tracking' 8\n54395 'traction' 8\n54396 'training' 8\n54397 'transfer' 8\n54398 'triangle' 8\n54399 'truncate' 8\n54400 'tutorial' 8\n54401 'typename' 8\n54402 'ublished' 8\n54403 'uclidean' 8\n54404 'ulations' 8\n54405 'ulação' 8\n54406 'unittest' 8\n54407 'unsigned' 8\n54408 'unächst' 8\n54409 'uplicate' 8\n54410 'urations' 8\n54411 'urniture' 8\n54412 'username' 8\n54413 'usterity' 8\n54414 'utations' 8\n54415 'utenberg' 8\n54416 'validate' 8\n54417 'variable' 8\n54418 'variance' 8\n54419 'variants' 8\n54420 'vascular' 8\n54421 'velocity' 8\n54422 'ventions' 8\n54423 'vergence' 8\n54424 'versible' 8\n54425 'versions' 8\n54426 'vertical' 8\n54427 'vertices' 8\n54428 'viewport' 8\n54429 'volatile' 8\n54430 'volution' 8\n54431 'warnings' 8\n54432 'weighted' 8\n54433 'whatever' 8\n54434 'wicklung' 8\n54435 'workflow' 8\n54436 'xxxxxxxx' 8\n54437 'ymmetric' 8\n54438 'ynthesis' 8\n54439 '~~~~~~~~' 8\n54440 '\\xa0\\xa0\\xa0\\xa0' 8\n54441 'ÃÂÃÂ' 8\n54442 'äischen' 8\n54443 'äsident' 8\n54444 'ätzlich' 8\n54445 'édition' 8\n54446 'énergie' 8\n54447 'ération' 8\n54448 'érature' 8\n54449 'érience' 8\n54450 'érieure' 8\n54451 'ésident' 8\n54452 'ísticas' 8\n54453 'ünstler' 8\n54454 'ńskiego' 8\n54455 'англ' 8\n54456 'ание' 8\n54457 'ания' 8\n54458 'анта' 8\n54459 'атор' 8\n54460 'берг' 8\n54461 'бере' 8\n54462 'бира' 8\n54463 'боль' 8\n54464 'бора' 8\n54465 'бран' 8\n54466 'бург' 8\n54467 'біль' 8\n54468 'вает' 8\n54469 'важа' 8\n54470 'вала' 8\n54471 'вали' 8\n54472 'вало' 8\n54473 'валь' 8\n54474 'вана' 8\n54475 'ване' 8\n54476 'вати' 8\n54477 'вать' 8\n54478 'веде' 8\n54479 'вели' 8\n54480 'веро' 8\n54481 'вест' 8\n54482 'визи' 8\n54483 'виси' 8\n54484 'вобо' 8\n54485 'вого' 8\n54486 'води' 8\n54487 'волю' 8\n54488 'вшие' 8\n54489 'вший' 8\n54490 'вших' 8\n54491 'галь' 8\n54492 'гани' 8\n54493 'гато' 8\n54494 'гово' 8\n54495 'град' 8\n54496 'граф' 8\n54497 'даго' 8\n54498 'дами' 8\n54499 'дела' 8\n54500 'дели' 8\n54501 'дель' 8\n54502 'дена' 8\n54503 'дент' 8\n54504 'дина' 8\n54505 'дова' 8\n54506 'дови' 8\n54507 'евич' 8\n54508 'екси' 8\n54509 'ение' 8\n54510 'ении' 8\n54511 'ений' 8\n54512 'ения' 8\n54513 'ержа' 8\n54514 'еств' 8\n54515 'етод' 8\n54516 'ется' 8\n54517 'ждан' 8\n54518 'ждён' 8\n54519 'жена' 8\n54520 'жива' 8\n54521 'жить' 8\n54522 'жной' 8\n54523 'зова' 8\n54524 'зыва' 8\n54525 'зько' 8\n54526 'игра' 8\n54527 'иров' 8\n54528 'ичес' 8\n54529 'каде' 8\n54530 'каза' 8\n54531 'каль' 8\n54532 'ками' 8\n54533 'ката' 8\n54534 'кими' 8\n54535 'клад' 8\n54536 'кова' 8\n54537 'кови' 8\n54538 'ково' 8\n54539 'кого' 8\n54540 'кола' 8\n54541 'коли' 8\n54542 'коло' 8\n54543 'кому' 8\n54544 'коно' 8\n54545 'краї' 8\n54546 'ктив' 8\n54547 'ктор' 8\n54548 'куль' 8\n54549 'лага' 8\n54550 'лаго' 8\n54551 'лази' 8\n54552 'ланд' 8\n54553 'ласс' 8\n54554 'лась' 8\n54555 'лася' 8\n54556 'лежа' 8\n54557 'лекс' 8\n54558 'лект' 8\n54559 'лена' 8\n54560 'лено' 8\n54561 'лены' 8\n54562 'лиза' 8\n54563 'лина' 8\n54564 'лист' 8\n54565 'лись' 8\n54566 'лися' 8\n54567 'лище' 8\n54568 'лова' 8\n54569 'лови' 8\n54570 'лово' 8\n54571 'лові' 8\n54572 'логи' 8\n54573 'лосо' 8\n54574 'лось' 8\n54575 'лося' 8\n54576 'лько' 8\n54577 'льно' 8\n54578 'льта' 8\n54579 'ляет' 8\n54580 'маль' 8\n54581 'мана' 8\n54582 'мати' 8\n54583 'мель' 8\n54584 'мена' 8\n54585 'мене' 8\n54586 'мени' 8\n54587 'мент' 8\n54588 'меня' 8\n54589 'мери' 8\n54590 'мест' 8\n54591 'мина' 8\n54592 'мини' 8\n54593 'мира' 8\n54594 'миче' 8\n54595 'мого' 8\n54596 'міні' 8\n54597 'нала' 8\n54598 'наль' 8\n54599 'нами' 8\n54600 'ната' 8\n54601 'нача' 8\n54602 'него' 8\n54603 'нием' 8\n54604 'ника' 8\n54605 'ники' 8\n54606 'нима' 8\n54607 'ними' 8\n54608 'нина' 8\n54609 'ните' 8\n54610 'ница' 8\n54611 'нице' 8\n54612 'ници' 8\n54613 'ницы' 8\n54614 'ниче' 8\n54615 'нова' 8\n54616 'нове' 8\n54617 'ново' 8\n54618 'ного' 8\n54619 'ному' 8\n54620 'носи' 8\n54621 'ност' 8\n54622 'ното' 8\n54623 'ными' 8\n54624 'обав' 8\n54625 'обра' 8\n54626 'ован' 8\n54627 'овая' 8\n54628 'овий' 8\n54629 'овин' 8\n54630 'ових' 8\n54631 'ович' 8\n54632 'овой' 8\n54633 'ової' 8\n54634 'огда' 8\n54635 'огра' 8\n54636 'ольз' 8\n54637 'омер' 8\n54638 'онов' 8\n54639 'ости' 8\n54640 'ость' 8\n54641 'отор' 8\n54642 'пада' 8\n54643 'пара' 8\n54644 'педи' 8\n54645 'пени' 8\n54646 'пера' 8\n54647 'пере' 8\n54648 'писа' 8\n54649 'писи' 8\n54650 'пису' 8\n54651 'пода' 8\n54652 'поді' 8\n54653 'пози' 8\n54654 'поли' 8\n54655 'поло' 8\n54656 'поль' 8\n54657 'прав' 8\n54658 'прия' 8\n54659 'пута' 8\n54660 'рабо' 8\n54661 'рави' 8\n54662 'раль' 8\n54663 'рами' 8\n54664 'рани' 8\n54665 'реди' 8\n54666 'рела' 8\n54667 'рина' 8\n54668 'рист' 8\n54669 'рите' 8\n54670 'рито' 8\n54671 'рова' 8\n54672 'рови' 8\n54673 'рово' 8\n54674 'рого' 8\n54675 'рода' 8\n54676 'роди' 8\n54677 'рома' 8\n54678 'роме' 8\n54679 'рона' 8\n54680 'седа' 8\n54681 'сини' 8\n54682 'сите' 8\n54683 'ская' 8\n54684 'ские' 8\n54685 'ский' 8\n54686 'ским' 8\n54687 'ских' 8\n54688 'ския' 8\n54689 'сков' 8\n54690 'ског' 8\n54691 'ское' 8\n54692 'ской' 8\n54693 'ском' 8\n54694 'ској' 8\n54695 'скус' 8\n54696 'скую' 8\n54697 'слав' 8\n54698 'след' 8\n54699 'слен' 8\n54700 'слов' 8\n54701 'слід' 8\n54702 'сона' 8\n54703 'ссии' 8\n54704 'ссий' 8\n54705 'став' 8\n54706 'стан' 8\n54707 'ства' 8\n54708 'стве' 8\n54709 'стви' 8\n54710 'ство' 8\n54711 'ству' 8\n54712 'стей' 8\n54713 'стем' 8\n54714 'стер' 8\n54715 'стов' 8\n54716 'стом' 8\n54717 'стор' 8\n54718 'стоя' 8\n54719 'стра' 8\n54720 'стре' 8\n54721 'стри' 8\n54722 'стро' 8\n54723 'стру' 8\n54724 'стрі' 8\n54725 'ступ' 8\n54726 'ська' 8\n54727 'ське' 8\n54728 'сько' 8\n54729 'ську' 8\n54730 'ські' 8\n54731 'тали' 8\n54732 'таль' 8\n54733 'тами' 8\n54734 'тара' 8\n54735 'твер' 8\n54736 'тели' 8\n54737 'тель' 8\n54738 'теля' 8\n54739 'тера' 8\n54740 'тери' 8\n54741 'тета' 8\n54742 'тика' 8\n54743 'тики' 8\n54744 'тина' 8\n54745 'тися' 8\n54746 'тиче' 8\n54747 'тник' 8\n54748 'тный' 8\n54749 'тных' 8\n54750 'това' 8\n54751 'того' 8\n54752 'тому' 8\n54753 'тора' 8\n54754 'тори' 8\n54755 'торы' 8\n54756 'тура' 8\n54757 'туре' 8\n54758 'тури' 8\n54759 'туры' 8\n54760 'ться' 8\n54761 'ульт' 8\n54762 'урна' 8\n54763 'утбо' 8\n54764 'фере' 8\n54765 'фика' 8\n54766 'филь' 8\n54767 'фици' 8\n54768 'хода' 8\n54769 'ходи' 8\n54770 'ходя' 8\n54771 'цена' 8\n54772 'цент' 8\n54773 'цией' 8\n54774 'цима' 8\n54775 'цион' 8\n54776 'ципа' 8\n54777 'ција' 8\n54778 'ције' 8\n54779 'чень' 8\n54780 'чина' 8\n54781 'чита' 8\n54782 'чная' 8\n54783 'чний' 8\n54784 'чник' 8\n54785 'чних' 8\n54786 'чной' 8\n54787 'чної' 8\n54788 'чные' 8\n54789 'чный' 8\n54790 'чных' 8\n54791 'шего' 8\n54792 'шлен' 8\n54793 'шого' 8\n54794 'ются' 8\n54795 'ющей' 8\n54796 'ющие' 8\n54797 'ющий' 8\n54798 'ющим' 8\n54799 'ющих' 8\n54800 'ябре' 8\n54801 'ября' 8\n54802 'єдна' 8\n54803 'ісля' 8\n54804 '\\n\\t\\t\\t\\t\\t\\t\\t\\t' 9\n54805 '\\n\\n       ' 9\n54806 '\\n    \\n   ' 9\n54807 '\\n        ' 9\n54808 '\\r\\n       ' 9\n54809 ' \\n       ' 9\n54810 '         ' 9\n54811 ' --------' 9\n54812 ' Abdullah' 9\n54813 ' Absolute' 9\n54814 ' Abstract' 9\n54815 ' Academic' 9\n54816 ' Accounts' 9\n54817 ' Accuracy' 9\n54818 ' Activity' 9\n54819 ' Actually' 9\n54820 ' Addition' 9\n54821 ' Adelaide' 9\n54822 ' Advanced' 9\n54823 ' Advisory' 9\n54824 ' Africans' 9\n54825 ' Aircraft' 9\n54826 ' Airlines' 9\n54827 ' Alliance' 9\n54828 ' Alphabet' 9\n54829 ' Although' 9\n54830 ' American' 9\n54831 ' Americas' 9\n54832 ' América' 9\n54833 ' Analysis' 9\n54834 ' Anderson' 9\n54835 ' Anything' 9\n54836 ' Appendix' 9\n54837 ' Applying' 9\n54838 ' Approach' 9\n54839 ' Approved' 9\n54840 ' Archives' 9\n54841 ' Argument' 9\n54842 ' Arkansas' 9\n54843 ' Armenian' 9\n54844 ' Articles' 9\n54845 ' Assembly' 9\n54846 ' Assuming' 9\n54847 ' Athletic' 9\n54848 ' Atlantic' 9\n54849 ' Atlantis' 9\n54850 ' Attorney' 9\n54851 ' Auckland' 9\n54852 ' Audience' 9\n54853 ' Austrian' 9\n54854 ' Avengers' 9\n54855 ' Aviation' 9\n54856 ' BUSINESS' 9\n54857 ' Bachelor' 9\n54858 ' Baseball' 9\n54859 ' Bayesian' 9\n54860 ' Behavior' 9\n54861 ' Beispiel' 9\n54862 ' Benedict' 9\n54863 ' Benefits' 9\n54864 ' Benjamin' 9\n54865 ' Berkeley' 9\n54866 ' Bordeaux' 9\n54867 ' Bradford' 9\n54868 ' Breaking' 9\n54869 ' Brighton' 9\n54870 ' Brisbane' 9\n54871 ' Broadway' 9\n54872 ' Brooklyn' 9\n54873 ' Brothers' 9\n54874 ' Brussels' 9\n54875 ' Budapest' 9\n54876 ' Buddhism' 9\n54877 ' Buddhist' 9\n54878 ' Buffered' 9\n54879 ' Building' 9\n54880 ' Bulgaria' 9\n54881 ' Bulletin' 9\n54882 ' Business' 9\n54883 ' CONTRACT' 9\n54884 ' Calendar' 9\n54885 ' Californ' 9\n54886 ' Callback' 9\n54887 ' Cambodia' 9\n54888 ' Cameroon' 9\n54889 ' Campaign' 9\n54890 ' Campbell' 9\n54891 ' Canadian' 9\n54892 ' Capacity' 9\n54893 ' Cardinal' 9\n54894 ' Carnegie' 9\n54895 ' Carolina' 9\n54896 ' Caroline' 9\n54897 ' Category' 9\n54898 ' Catholic' 9\n54899 ' Cellular' 9\n54900 ' Cemetery' 9\n54901 ' Chairman' 9\n54902 ' Chambers' 9\n54903 ' Champion' 9\n54904 ' Chandler' 9\n54905 ' Changing' 9\n54906 ' Channels' 9\n54907 ' Checking' 9\n54908 ' Chemical' 9\n54909 ' Cherokee' 9\n54910 ' Children' 9\n54911 ' Christie' 9\n54912 ' Chrysler' 9\n54913 ' Circular' 9\n54914 ' Citation' 9\n54915 ' Citizens' 9\n54916 ' Clifford' 9\n54917 ' Clinical' 9\n54918 ' Collabor' 9\n54919 ' Colombia' 9\n54920 ' Colonial' 9\n54921 ' Colorado' 9\n54922 ' Columbia' 9\n54923 ' Columbus' 9\n54924 ' Combined' 9\n54925 ' Comments' 9\n54926 ' Commerce' 9\n54927 ' Communic' 9\n54928 ' Compared' 9\n54929 ' Compiler' 9\n54930 ' Complete' 9\n54931 ' Compound' 9\n54932 ' Computer' 9\n54933 ' Concrete' 9\n54934 ' Confeder' 9\n54935 ' Conflict' 9\n54936 ' Congress' 9\n54937 ' Congrès' 9\n54938 ' Consider' 9\n54939 ' Constant' 9\n54940 ' Consumer' 9\n54941 ' Contains' 9\n54942 ' Contents' 9\n54943 ' Continue' 9\n54944 ' Contract' 9\n54945 ' Controls' 9\n54946 ' Cornwall' 9\n54947 ' Covenant' 9\n54948 ' Coverage' 9\n54949 ' Crawford' 9\n54950 ' Creating' 9\n54951 ' Creation' 9\n54952 ' Creative' 9\n54953 ' Criminal' 9\n54954 ' Criteria' 9\n54955 ' Critical' 9\n54956 ' Cultural' 9\n54957 ' Currency' 9\n54958 ' Customer' 9\n54959 ' DATABASE' 9\n54960 ' DISTINCT' 9\n54961 ' Damascus' 9\n54962 ' Database' 9\n54963 ' DateTime' 9\n54964 ' Davidson' 9\n54965 ' December' 9\n54966 ' Decision' 9\n54967 ' Delaware' 9\n54968 ' Delivery' 9\n54969 ' Democrat' 9\n54970 ' Designer' 9\n54971 ' Después' 9\n54972 ' Detailed' 9\n54973 ' Determin' 9\n54974 ' Deutsche' 9\n54975 ' Diabetes' 9\n54976 ' Dialogue' 9\n54977 ' Director' 9\n54978 ' Discover' 9\n54979 ' Diseases' 9\n54980 ' Disorder' 9\n54981 ' Dispatch' 9\n54982 ' Distance' 9\n54983 ' District' 9\n54984 ' Division' 9\n54985 ' Document' 9\n54986 ' Domestic' 9\n54987 ' Données' 9\n54988 ' Dortmund' 9\n54989 ' Download' 9\n54990 ' Downtown' 9\n54991 ' Duration' 9\n54992 ' Dynamics' 9\n54993 ' Düsseld' 9\n54994 ' Economic' 9\n54995 ' Edmonton' 9\n54996 ' Egyptian' 9\n54997 ' Einstein' 9\n54998 ' Election' 9\n54999 ' Electric' 9\n55000 ' Electron' 9\n55001 ' Elements' 9\n55002 ' Embedded' 9\n55003 ' Emirates' 9\n55004 ' Emmanuel' 9\n55005 ' Employee' 9\n55006 ' Encoding' 9\n55007 ' Engineer' 9\n55008 ' Ensemble' 9\n55009 ' Equality' 9\n55010 ' Equation' 9\n55011 ' Ethereum' 9\n55012 ' Ethernet' 9\n55013 ' Ethiopia' 9\n55014 ' European' 9\n55015 ' Evaluate' 9\n55016 ' Everyone' 9\n55017 ' Evidence' 9\n55018 ' Examples' 9\n55019 ' Exchange' 9\n55020 ' Exercise' 9\n55021 ' Expected' 9\n55022 ' Explicit' 9\n55023 ' Explorer' 9\n55024 ' Exposure' 9\n55025 ' Extended' 9\n55026 ' External' 9\n55027 ' Externí' 9\n55028 ' FUNCTION' 9\n55029 ' Facebook' 9\n55030 ' Facility' 9\n55031 ' Families' 9\n55032 ' Favorite' 9\n55033 ' Features' 9\n55034 ' February' 9\n55035 ' Feedback' 9\n55036 ' Ferguson' 9\n55037 ' Fernando' 9\n55038 ' Festival' 9\n55039 ' Fighting' 9\n55040 ' Firebase' 9\n55041 ' Fletcher' 9\n55042 ' Florence' 9\n55043 ' Football' 9\n55044 ' Fraction' 9\n55045 ' Fragment' 9\n55046 ' Franklin' 9\n55047 ' Friedman' 9\n55048 ' Frontier' 9\n55049 ' Function' 9\n55050 ' Fußball' 9\n55051 ' Galactic' 9\n55052 ' Gaussian' 9\n55053 ' Gebäude' 9\n55054 ' Generate' 9\n55055 ' Geoffrey' 9\n55056 ' Geometry' 9\n55057 ' Georgian' 9\n55058 ' Giovanni' 9\n55059 ' Goldberg' 9\n55060 ' Gonzalez' 9\n55061 ' Governor' 9\n55062 ' Gradient' 9\n55063 ' Graduate' 9\n55064 ' Graphics' 9\n55065 ' Griffith' 9\n55066 ' Guardian' 9\n55067 ' Hamilton' 9\n55068 ' Handbook' 9\n55069 ' Handling' 9\n55070 ' Hardware' 9\n55071 ' Harrison' 9\n55072 ' Hastings' 9\n55073 ' Hawaiian' 9\n55074 ' Helsinki' 9\n55075 ' Hercules' 9\n55076 ' Heritage' 9\n55077 ' Highland' 9\n55078 ' Hispanic' 9\n55079 ' Historic' 9\n55080 ' Holdings' 9\n55081 ' Hollande' 9\n55082 ' Homeland' 9\n55083 ' Honduras' 9\n55084 ' Hospital' 9\n55085 ' INDIRECT' 9\n55086 ' Identity' 9\n55087 ' Illinois' 9\n55088 ' Imperial' 9\n55089 ' Increase' 9\n55090 ' Independ' 9\n55091 ' Industry' 9\n55092 ' Infantry' 9\n55093 ' Infinity' 9\n55094 ' Instance' 9\n55095 ' Institut' 9\n55096 ' Integral' 9\n55097 ' Interest' 9\n55098 ' Interior' 9\n55099 ' Internal' 9\n55100 ' Internet' 9\n55101 ' Interval' 9\n55102 ' Investig' 9\n55103 ' Islamist' 9\n55104 ' Israelis' 9\n55105 ' Istanbul' 9\n55106 ' Iterator' 9\n55107 ' Japanese' 9\n55108 ' Jennifer' 9\n55109 ' Jennings' 9\n55110 ' Johannes' 9\n55111 ' Johnston' 9\n55112 ' Jonathan' 9\n55113 ' Judgment' 9\n55114 ' Judicial' 9\n55115 ' Junction' 9\n55116 ' Kathleen' 9\n55117 ' Kentucky' 9\n55118 ' Keyboard' 9\n55119 ' Kingston' 9\n55120 ' Language' 9\n55121 ' Lawrence' 9\n55122 ' Learning' 9\n55123 ' Lebanese' 9\n55124 ' Leonardo' 9\n55125 ' Liberals' 9\n55126 ' Licensed' 9\n55127 ' Likewise' 9\n55128 ' LinkedIn' 9\n55129 ' ListView' 9\n55130 ' Location' 9\n55131 ' Magazine' 9\n55132 ' Magnetic' 9\n55133 ' Majority' 9\n55134 ' Malaysia' 9\n55135 ' Managing' 9\n55136 ' Manifest' 9\n55137 ' Manitoba' 9\n55138 ' Manufact' 9\n55139 ' Marathon' 9\n55140 ' Margaret' 9\n55141 ' Maritime' 9\n55142 ' Marriage' 9\n55143 ' Marshall' 9\n55144 ' Martinez' 9\n55145 ' Maryland' 9\n55146 ' Material' 9\n55147 ' Mathemat' 9\n55148 ' Matthews' 9\n55149 ' McCarthy' 9\n55150 ' McDonald' 9\n55151 ' McGregor' 9\n55152 ' Medicaid' 9\n55153 ' Medicare' 9\n55154 ' Medicine' 9\n55155 ' Medieval' 9\n55156 ' Memorial' 9\n55157 ' Menschen' 9\n55158 ' Mercedes' 9\n55159 ' Merchant' 9\n55160 ' Messages' 9\n55161 ' Metadata' 9\n55162 ' Michelle' 9\n55163 ' Michigan' 9\n55164 ' Military' 9\n55165 ' Militär' 9\n55166 ' Minister' 9\n55167 ' Ministry' 9\n55168 ' Missouri' 9\n55169 ' Mitchell' 9\n55170 ' Modified' 9\n55171 ' Mohammad' 9\n55172 ' Mohammed' 9\n55173 ' Monetary' 9\n55174 ' Mongolia' 9\n55175 ' Monsieur' 9\n55176 ' Montreal' 9\n55177 ' Monument' 9\n55178 ' Moreover' 9\n55179 ' Morrison' 9\n55180 ' Mortgage' 9\n55181 ' Mountain' 9\n55182 ' Mourinho' 9\n55183 ' Movement' 9\n55184 ' Muhammad' 9\n55185 ' Multiple' 9\n55186 ' Möglich' 9\n55187 ' München' 9\n55188 ' NSString' 9\n55189 ' Nacional' 9\n55190 ' Napoleon' 9\n55191 ' National' 9\n55192 ' Nebraska' 9\n55193 ' Negative' 9\n55194 ' Networks' 9\n55195 ' Nicholas' 9\n55196 ' Nigerian' 9\n55197 ' Nintendo' 9\n55198 ' Normally' 9\n55199 ' Northern' 9\n55200 ' November' 9\n55201 ' Numerous' 9\n55202 ' ObjectId' 9\n55203 ' Observer' 9\n55204 ' Officers' 9\n55205 ' Official' 9\n55206 ' Oklahoma' 9\n55207 ' Olympics' 9\n55208 ' Operator' 9\n55209 ' Optional' 9\n55210 ' Oriental' 9\n55211 ' Original' 9\n55212 ' Orthodox' 9\n55213 ' Overflow' 9\n55214 ' Overview' 9\n55215 ' PROVIDED' 9\n55216 ' Pakistan' 9\n55217 ' Palestin' 9\n55218 ' Panthers' 9\n55219 ' Paradise' 9\n55220 ' Parallel' 9\n55221 ' Particip' 9\n55222 ' Particle' 9\n55223 ' Partners' 9\n55224 ' Password' 9\n55225 ' Patients' 9\n55226 ' Patricia' 9\n55227 ' Patriots' 9\n55228 ' Pentagon' 9\n55229 ' Personal' 9\n55230 ' Peterson' 9\n55231 ' Philippe' 9\n55232 ' Phillips' 9\n55233 ' Physical' 9\n55234 ' Pictures' 9\n55235 ' Pipeline' 9\n55236 ' Planning' 9\n55237 ' Platform' 9\n55238 ' Plymouth' 9\n55239 ' Pokémon' 9\n55240 ' Politics' 9\n55241 ' Portland' 9\n55242 ' Portugal' 9\n55243 ' Portály' 9\n55244 ' Position' 9\n55245 ' Positive' 9\n55246 ' Possible' 9\n55247 ' Practice' 9\n55248 ' Pressure' 9\n55249 ' Previous' 9\n55250 ' Princess' 9\n55251 ' Priority' 9\n55252 ' Probably' 9\n55253 ' Problems' 9\n55254 ' Producer' 9\n55255 ' Products' 9\n55256 ' Programs' 9\n55257 ' Progress' 9\n55258 ' Projects' 9\n55259 ' Property' 9\n55260 ' Proposal' 9\n55261 ' Prospect' 9\n55262 ' Protocol' 9\n55263 ' Provider' 9\n55264 ' Province' 9\n55265 ' Pulitzer' 9\n55266 ' Purchase' 9\n55267 ' Question' 9\n55268 ' Railroad' 9\n55269 ' Randolph' 9\n55270 ' Rational' 9\n55271 ' Reaction' 9\n55272 ' Received' 9\n55273 ' Recently' 9\n55274 ' Recovery' 9\n55275 ' Redirect' 9\n55276 ' Regiment' 9\n55277 ' Regional' 9\n55278 ' Register' 9\n55279 ' Registry' 9\n55280 ' Relation' 9\n55281 ' Relative' 9\n55282 ' Religion' 9\n55283 ' Remember' 9\n55284 ' Removing' 9\n55285 ' Reporter' 9\n55286 ' Republic' 9\n55287 ' Requests' 9\n55288 ' Required' 9\n55289 ' Research' 9\n55290 ' Reserved' 9\n55291 ' Resource' 9\n55292 ' Response' 9\n55293 ' Retrieve' 9\n55294 ' Revision' 9\n55295 ' Reynolds' 9\n55296 ' Richards' 9\n55297 ' Richmond' 9\n55298 ' Robinson' 9\n55299 ' Romanian' 9\n55300 ' Rotation' 9\n55301 ' Russians' 9\n55302 ' SERVICES' 9\n55303 ' SOFTWARE' 9\n55304 ' Salvador' 9\n55305 ' Samantha' 9\n55306 ' Santiago' 9\n55307 ' Saturday' 9\n55308 ' Schedule' 9\n55309 ' Schwartz' 9\n55310 ' Sciences' 9\n55311 ' Scotland' 9\n55312 ' Scottish' 9\n55313 ' Secondly' 9\n55314 ' Sections' 9\n55315 ' Security' 9\n55316 ' Selected' 9\n55317 ' Senators' 9\n55318 ' Sequence' 9\n55319 ' Sergeant' 9\n55320 ' Services' 9\n55321 ' Sessions' 9\n55322 ' Settings' 9\n55323 ' Shanghai' 9\n55324 ' Shepherd' 9\n55325 ' Shipping' 9\n55326 ' Shopping' 9\n55327 ' Sinclair' 9\n55328 ' Slovakia' 9\n55329 ' Slovenia' 9\n55330 ' Software' 9\n55331 ' Solution' 9\n55332 ' Somerset' 9\n55333 ' Southern' 9\n55334 ' Speaking' 9\n55335 ' Specific' 9\n55336 ' Spectrum' 9\n55337 ' Sporting' 9\n55338 ' Springer' 9\n55339 ' Squadron' 9\n55340 ' Stafford' 9\n55341 ' Standard' 9\n55342 ' Standing' 9\n55343 ' Stanford' 9\n55344 ' Starting' 9\n55345 ' Steelers' 9\n55346 ' Stephens' 9\n55347 ' Sterling' 9\n55348 ' Straight' 9\n55349 ' Strategy' 9\n55350 ' Straßen' 9\n55351 ' Strength' 9\n55352 ' Students' 9\n55353 ' Subjects' 9\n55354 ' Suddenly' 9\n55355 ' Sullivan' 9\n55356 ' Sunshine' 9\n55357 ' Superior' 9\n55358 ' Superman' 9\n55359 ' Survival' 9\n55360 ' Symphony' 9\n55361 ' Syndrome' 9\n55362 ' Syracuse' 9\n55363 ' Système' 9\n55364 ' Sánchez' 9\n55365 ' También' 9\n55366 ' Tanzania' 9\n55367 ' Teachers' 9\n55368 ' Teaching' 9\n55369 ' Telegram' 9\n55370 ' Template' 9\n55371 ' Terminal' 9\n55372 ' TextView' 9\n55373 ' Thailand' 9\n55374 ' Theodore' 9\n55375 ' Thinking' 9\n55376 ' Thompson' 9\n55377 ' Thursday' 9\n55378 ' Together' 9\n55379 ' Tomorrow' 9\n55380 ' Township' 9\n55381 ' Tracking' 9\n55382 ' Training' 9\n55383 ' Transfer' 9\n55384 ' Treasure' 9\n55385 ' Treasury' 9\n55386 ' Triangle' 9\n55387 ' Tribunal' 9\n55388 ' Trinidad' 9\n55389 ' Tropical' 9\n55390 ' Tutorial' 9\n55391 ' Ultimate' 9\n55392 ' Universe' 9\n55393 ' Username' 9\n55394 ' Valencia' 9\n55395 ' Validate' 9\n55396 ' Variable' 9\n55397 ' Velocity' 9\n55398 ' Venezuel' 9\n55399 ' Vertical' 9\n55400 ' Veterans' 9\n55401 ' Victoria' 9\n55402 ' Violence' 9\n55403 ' Virginia' 9\n55404 ' Vladimir' 9\n55405 ' WARRANTY' 9\n55406 ' Warriors' 9\n55407 ' Waterloo' 9\n55408 ' Whatever' 9\n55409 ' WhatsApp' 9\n55410 ' Whenever' 9\n55411 ' Wildlife' 9\n55412 ' Williams' 9\n55413 ' Winnipeg' 9\n55414 ' Wireless' 9\n55415 ' Wolfgang' 9\n55416 ' Workshop' 9\n55417 ' Während' 9\n55418 ' Zimbabwe' 9\n55419 ' abnormal' 9\n55420 ' abortion' 9\n55421 ' abruptly' 9\n55422 ' absolute' 9\n55423 ' absorbed' 9\n55424 ' abstract' 9\n55425 ' abundant' 9\n55426 ' academia' 9\n55427 ' academic' 9\n55428 ' accepted' 9\n55429 ' accessed' 9\n55430 ' accident' 9\n55431 ' accommod' 9\n55432 ' accompan' 9\n55433 ' accounts' 9\n55434 ' accuracy' 9\n55435 ' accurate' 9\n55436 ' accusing' 9\n55437 ' achieved' 9\n55438 ' achieves' 9\n55439 ' acompañ' 9\n55440 ' acoustic' 9\n55441 ' acquaint' 9\n55442 ' acquired' 9\n55443 ' activate' 9\n55444 ' actively' 9\n55445 ' activism' 9\n55446 ' activist' 9\n55447 ' activity' 9\n55448 ' actually' 9\n55449 ' adapting' 9\n55450 ' adaptive' 9\n55451 ' addicted' 9\n55452 ' addition' 9\n55453 ' additive' 9\n55454 ' adequate' 9\n55455 ' adhesion' 9\n55456 ' adhesive' 9\n55457 ' adjacent' 9\n55458 ' adjusted' 9\n55459 ' administ' 9\n55460 ' admitted' 9\n55461 ' adopting' 9\n55462 ' adoption' 9\n55463 ' adorable' 9\n55464 ' advanced' 9\n55465 ' advances' 9\n55466 ' advertis' 9\n55467 ' advisers' 9\n55468 ' advising' 9\n55469 ' advisors' 9\n55470 ' advisory' 9\n55471 ' advocacy' 9\n55472 ' advocate' 9\n55473 ' affected' 9\n55474 ' affinity' 9\n55475 ' affirmed' 9\n55476 ' afforded' 9\n55477 ' agencies' 9\n55478 ' agreeing' 9\n55479 ' agricult' 9\n55480 ' airborne' 9\n55481 ' aircraft' 9\n55482 ' airlines' 9\n55483 ' airplane' 9\n55484 ' airports' 9\n55485 ' alarming' 9\n55486 ' algebras' 9\n55487 ' algorith' 9\n55488 ' alleging' 9\n55489 ' allergic' 9\n55490 ' alliance' 9\n55491 ' allocate' 9\n55492 ' allowing' 9\n55493 ' alphabet' 9\n55494 ' altering' 9\n55495 ' although' 9\n55496 ' altitude' 9\n55497 ' aluminum' 9\n55498 ' ambition' 9\n55499 ' amounted' 9\n55500 ' analogue' 9\n55501 ' analysed' 9\n55502 ' analyses' 9\n55503 ' analysis' 9\n55504 ' analysts' 9\n55505 ' analytic' 9\n55506 ' analyzed' 9\n55507 ' analyzer' 9\n55508 ' ancestor' 9\n55509 ' ancestry' 9\n55510 ' anchored' 9\n55511 ' animated' 9\n55512 ' annotate' 9\n55513 ' announce' 9\n55514 ' annoying' 9\n55515 ' annually' 9\n55516 ' answered' 9\n55517 ' antennas' 9\n55518 ' anterior' 9\n55519 ' antibody' 9\n55520 ' antioxid' 9\n55521 ' anything' 9\n55522 ' anywhere' 9\n55523 ' aperture' 9\n55524 ' apparent' 9\n55525 ' appealed' 9\n55526 ' appeared' 9\n55527 ' appended' 9\n55528 ' appendix' 9\n55529 ' appetite' 9\n55530 ' applause' 9\n55531 ' applying' 9\n55532 ' approach' 9\n55533 ' appropri' 9\n55534 ' approval' 9\n55535 ' approved' 9\n55536 ' approxim' 9\n55537 ' apresent' 9\n55538 ' archived' 9\n55539 ' archives' 9\n55540 ' argparse' 9\n55541 ' arguably' 9\n55542 ' argument' 9\n55543 ' aromatic' 9\n55544 ' arranged' 9\n55545 ' arrested' 9\n55546 ' arriving' 9\n55547 ' arrogant' 9\n55548 ' arterial' 9\n55549 ' arteries' 9\n55550 ' articles' 9\n55551 ' artifact' 9\n55552 ' artistic' 9\n55553 ' asbestos' 9\n55554 ' assassin' 9\n55555 ' assaults' 9\n55556 ' assemble' 9\n55557 ' assembly' 9\n55558 ' asserted' 9\n55559 ' assessed' 9\n55560 ' assigned' 9\n55561 ' assisted' 9\n55562 ' assuming' 9\n55563 ' asteroid' 9\n55564 ' astronom' 9\n55565 ' athletes' 9\n55566 ' athletic' 9\n55567 ' através' 9\n55568 ' attached' 9\n55569 ' attacked' 9\n55570 ' attacker' 9\n55571 ' attained' 9\n55572 ' attempts' 9\n55573 ' attended' 9\n55574 ' attitude' 9\n55575 ' attorney' 9\n55576 ' attracts' 9\n55577 ' audience' 9\n55578 ' audition' 9\n55579 ' auditory' 9\n55580 ' authored' 9\n55581 ' automate' 9\n55582 ' autonomy' 9\n55583 ' averaged' 9\n55584 ' averages' 9\n55585 ' aviation' 9\n55586 ' avoiding' 9\n55587 ' awaiting' 9\n55588 ' bachelor' 9\n55589 ' backbone' 9\n55590 ' backdrop' 9\n55591 ' backlash' 9\n55592 ' backpack' 9\n55593 ' backward' 9\n55594 ' backyard' 9\n55595 ' bacteria' 9\n55596 ' balanced' 9\n55597 ' balances' 9\n55598 ' bankrupt' 9\n55599 ' barbecue' 9\n55600 ' barriers' 9\n55601 ' baseball' 9\n55602 ' baseline' 9\n55603 ' basement' 9\n55604 ' basename' 9\n55605 ' bastante' 9\n55606 ' bathroom' 9\n55607 ' battered' 9\n55608 ' battling' 9\n55609 ' bearings' 9\n55610 ' beaucoup' 9\n55611 ' becoming' 9\n55612 ' bedrooms' 9\n55613 ' beginner' 9\n55614 ' behaving' 9\n55615 ' behavior' 9\n55616 ' believed' 9\n55617 ' believer' 9\n55618 ' believes' 9\n55619 ' belonged' 9\n55620 ' benefici' 9\n55621 ' benefits' 9\n55622 ' betrayal' 9\n55623 ' betrayed' 9\n55624 ' beverage' 9\n55625 ' biblical' 9\n55626 ' billions' 9\n55627 ' binaries' 9\n55628 ' bindings' 9\n55629 ' binomial' 9\n55630 ' birthday' 9\n55631 ' bitterly' 9\n55632 ' blankets' 9\n55633 ' bleeding' 9\n55634 ' blending' 9\n55635 ' blessing' 9\n55636 ' blockade' 9\n55637 ' blockers' 9\n55638 ' blocking' 9\n55639 ' bloggers' 9\n55640 ' blogging' 9\n55641 ' boarding' 9\n55642 ' bookmark' 9\n55643 ' boosting' 9\n55644 ' borrowed' 9\n55645 ' bothered' 9\n55646 ' bouncing' 9\n55647 ' boundary' 9\n55648 ' bounding' 9\n55649 ' boutique' 9\n55650 ' brackets' 9\n55651 ' branches' 9\n55652 ' branding' 9\n55653 ' breaches' 9\n55654 ' breaking' 9\n55655 ' breathed' 9\n55656 ' breeding' 9\n55657 ' briefing' 9\n55658 ' brighter' 9\n55659 ' brightly' 9\n55660 ' bringing' 9\n55661 ' brothers' 9\n55662 ' browsers' 9\n55663 ' browsing' 9\n55664 ' buffered' 9\n55665 ' builders' 9\n55666 ' building' 9\n55667 ' bulletin' 9\n55668 ' bullshit' 9\n55669 ' bullying' 9\n55670 ' bureaucr' 9\n55671 ' bursting' 9\n55672 ' business' 9\n55673 ' cabinets' 9\n55674 ' caffeine' 9\n55675 ' calculus' 9\n55676 ' calendar' 9\n55677 ' callable' 9\n55678 ' callback' 9\n55679 ' calories' 9\n55680 ' campaign' 9\n55681 ' campuses' 9\n55682 ' canceled' 9\n55683 ' canción' 9\n55684 ' cannabis' 9\n55685 ' cantidad' 9\n55686 ' capacity' 9\n55687 ' capsules' 9\n55688 ' captions' 9\n55689 ' captured' 9\n55690 ' captures' 9\n55691 ' caracter' 9\n55692 ' cardinal' 9\n55693 ' carriage' 9\n55694 ' carriers' 9\n55695 ' carrying' 9\n55696 ' cassette' 9\n55697 ' casually' 9\n55698 ' catalogs' 9\n55699 ' catalyst' 9\n55700 ' catching' 9\n55701 ' category' 9\n55702 ' catheter' 9\n55703 ' cautious' 9\n55704 ' cellular' 9\n55705 ' cemetery' 9\n55706 ' centered' 9\n55707 ' centroid' 9\n55708 ' cerebral' 9\n55709 ' ceremony' 9\n55710 ' certains' 9\n55711 ' certific' 9\n55712 ' cervical' 9\n55713 ' chairman' 9\n55714 ' challeng' 9\n55715 ' chambers' 9\n55716 ' champion' 9\n55717 ' changing' 9\n55718 ' channels' 9\n55719 ' chapters' 9\n55720 ' charcoal' 9\n55721 ' charging' 9\n55722 ' charming' 9\n55723 ' chatting' 9\n55724 ' cheapest' 9\n55725 ' cheating' 9\n55726 ' checkbox' 9\n55727 ' checking' 9\n55728 ' checkout' 9\n55729 ' checksum' 9\n55730 ' cheerful' 9\n55731 ' cheering' 9\n55732 ' chemical' 9\n55733 ' chickens' 9\n55734 ' children' 9\n55735 ' chilling' 9\n55736 ' chloride' 9\n55737 ' chlorine' 9\n55738 ' choosing' 9\n55739 ' chromium' 9\n55740 ' chuckled' 9\n55741 ' churches' 9\n55742 ' château' 9\n55743 ' cinnamon' 9\n55744 ' circuits' 9\n55745 ' circular' 9\n55746 ' circumst' 9\n55747 ' citation' 9\n55748 ' citizens' 9\n55749 ' civilian' 9\n55750 ' claiming' 9\n55751 ' classics' 9\n55752 ' classify' 9\n55753 ' cleaning' 9\n55754 ' clearing' 9\n55755 ' cleavage' 9\n55756 ' clicking' 9\n55757 ' climbing' 9\n55758 ' clinging' 9\n55759 ' clinical' 9\n55760 ' 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9\n55808 ' computed' 9\n55809 ' computer' 9\n55810 ' computes' 9\n55811 ' comrades' 9\n55812 ' concaten' 9\n55813 ' conceded' 9\n55814 ' conceive' 9\n55815 ' concentr' 9\n55816 ' concepts' 9\n55817 ' concerns' 9\n55818 ' concerts' 9\n55819 ' conclude' 9\n55820 ' concrete' 9\n55821 ' configur' 9\n55822 ' confined' 9\n55823 ' confirms' 9\n55824 ' conflict' 9\n55825 ' confront' 9\n55826 ' confused' 9\n55827 ' congress' 9\n55828 ' conjunto' 9\n55829 ' connects' 9\n55830 ' conquest' 9\n55831 ' conserve' 9\n55832 ' consider' 9\n55833 ' consists' 9\n55834 ' consoles' 9\n55835 ' consolid' 9\n55836 ' constant' 9\n55837 ' constitu' 9\n55838 ' consumed' 9\n55839 ' consumer' 9\n55840 ' contacts' 9\n55841 ' contador' 9\n55842 ' contains' 9\n55843 ' contamin' 9\n55844 ' contempl' 9\n55845 ' contempt' 9\n55846 ' contends' 9\n55847 ' contents' 9\n55848 ' contests' 9\n55849 ' contexts' 9\n55850 ' contiene' 9\n55851 ' continue' 9\n55852 ' contours' 9\n55853 ' contrace' 9\n55854 ' contract' 9\n55855 ' contrary' 9\n55856 ' contrast' 9\n55857 ' controls' 9\n55858 ' converge' 9\n55859 ' converts' 9\n55860 ' conveyed' 9\n55861 ' convince' 9\n55862 ' coronary' 9\n55863 ' corridor' 9\n55864 ' corrobor' 9\n55865 ' cortical' 9\n55866 ' cortisol' 9\n55867 ' cosmetic' 9\n55868 ' costumes' 9\n55869 ' councils' 9\n55870 ' counters' 9\n55871 ' counties' 9\n55872 ' counting' 9\n55873 ' coupling' 9\n55874 ' courtesy' 9\n55875 ' covenant' 9\n55876 ' coverage' 9\n55877 ' covering' 9\n55878 ' cracking' 9\n55879 ' crafting' 9\n55880 ' crashing' 9\n55881 ' crawling' 9\n55882 ' creating' 9\n55883 ' creation' 9\n55884 ' creative' 9\n55885 ' creators' 9\n55886 ' creature' 9\n55887 ' credible' 9\n55888 ' credited' 9\n55889 ' creeping' 9\n55890 ' criminal' 9\n55891 ' criteria' 9\n55892 ' critical' 9\n55893 ' critique' 9\n55894 ' crossing' 9\n55895 ' crushing' 9\n55896 ' crystall' 9\n55897 ' crystals' 9\n55898 ' culinary' 9\n55899 ' cultural' 9\n55900 ' cultured' 9\n55901 ' cultures' 9\n55902 ' currency' 9\n55903 ' currents' 9\n55904 ' curtains' 9\n55905 ' customer' 9\n55906 ' cyclists' 9\n55907 ' cylinder' 9\n55908 ' części' 9\n55909 ' damaging' 9\n55910 ' darkness' 9\n55911 ' darüber' 9\n55912 ' database' 9\n55913 ' datasets' 9\n55914 ' datatype' 9\n55915 ' datetime' 9\n55916 ' daughter' 9\n55917 ' daunting' 9\n55918 ' daylight' 9\n55919 ' deadline' 9\n55920 ' dealings' 9\n55921 ' debugger' 9\n55922 ' deceased' 9\n55923 ' deciding' 9\n55924 ' decision' 9\n55925 ' decisive' 9\n55926 ' declared' 9\n55927 ' declares' 9\n55928 ' declined' 9\n55929 ' declines' 9\n55930 ' decoding' 9\n55931 ' decorate' 9\n55932 ' decrease' 9\n55933 ' defaults' 9\n55934 ' defeated' 9\n55935 ' defended' 9\n55936 ' defender' 9\n55937 ' defenses' 9\n55938 ' deferred' 9\n55939 ' deficits' 9\n55940 ' defining' 9\n55941 ' definite' 9\n55942 ' degraded' 9\n55943 ' delaying' 9\n55944 ' delegate' 9\n55945 ' deleting' 9\n55946 ' deletion' 9\n55947 ' delicate' 9\n55948 ' delivers' 9\n55949 ' delivery' 9\n55950 ' 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9\n55998 ' dilution' 9\n55999 ' diminish' 9\n56000 ' dinosaur' 9\n56001 ' diplomat' 9\n56002 ' directed' 9\n56003 ' directly' 9\n56004 ' director' 9\n56005 ' disabled' 9\n56006 ' disagree' 9\n56007 ' disaster' 9\n56008 ' disclose' 9\n56009 ' discount' 9\n56010 ' discover' 9\n56011 ' discrete' 9\n56012 ' diseases' 9\n56013 ' disguise' 9\n56014 ' disjoint' 9\n56015 ' disorder' 9\n56016 ' dispatch' 9\n56017 ' displays' 9\n56018 ' disposal' 9\n56019 ' disposed' 9\n56020 ' disputed' 9\n56021 ' disputes' 9\n56022 ' dissemin' 9\n56023 ' dissolve' 9\n56024 ' distance' 9\n56025 ' distinct' 9\n56026 ' distingu' 9\n56027 ' distract' 9\n56028 ' distress' 9\n56029 ' district' 9\n56030 ' distrust' 9\n56031 ' diversos' 9\n56032 ' dividend' 9\n56033 ' dividing' 9\n56034 ' division' 9\n56035 ' divorced' 9\n56036 ' doctrine' 9\n56037 ' document' 9\n56038 ' dokument' 9\n56039 ' domestic' 9\n56040 ' dominant' 9\n56041 ' dominate' 9\n56042 ' donation' 9\n56043 ' données' 9\n56044 ' dopamine' 9\n56045 ' 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9\n56283 ' freezing' 9\n56284 ' frequent' 9\n56285 ' freshman' 9\n56286 ' friction' 9\n56287 ' friendly' 9\n56288 ' frontend' 9\n56289 ' frontier' 9\n56290 ' fruitful' 9\n56291 ' función' 9\n56292 ' function' 9\n56293 ' função' 9\n56294 ' février' 9\n56295 ' galaxies' 9\n56296 ' gambling' 9\n56297 ' gameplay' 9\n56298 ' garments' 9\n56299 ' gasoline' 9\n56300 ' gathered' 9\n56301 ' gaussian' 9\n56302 ' gegründ' 9\n56303 ' gehörte' 9\n56304 ' generals' 9\n56305 ' generate' 9\n56306 ' generous' 9\n56307 ' genetics' 9\n56308 ' genocide' 9\n56309 ' genotype' 9\n56310 ' geometry' 9\n56311 ' geprüft' 9\n56312 ' gestures' 9\n56313 ' gewählt' 9\n56314 ' gigantic' 9\n56315 ' globally' 9\n56316 ' glorious' 9\n56317 ' gobierno' 9\n56318 ' goodness' 9\n56319 ' gorgeous' 9\n56320 ' governed' 9\n56321 ' governor' 9\n56322 ' grabbing' 9\n56323 ' graceful' 9\n56324 ' gradient' 9\n56325 ' graduate' 9\n56326 ' grandson' 9\n56327 ' granting' 9\n56328 ' graphene' 9\n56329 ' graphics' 9\n56330 ' grateful' 9\n56331 ' greatest' 9\n56332 ' greeting' 9\n56333 ' grinding' 9\n56334 ' grounded' 9\n56335 ' grouping' 9\n56336 ' guarante' 9\n56337 ' guardian' 9\n56338 ' guessing' 9\n56339 ' guidance' 9\n56340 ' généra' 9\n56341 ' habitats' 9\n56342 ' habitual' 9\n56343 ' hallmark' 9\n56344 ' handheld' 9\n56345 ' handlers' 9\n56346 ' handling' 9\n56347 ' handsome' 9\n56348 ' happened' 9\n56349 ' hardcore' 9\n56350 ' hardened' 9\n56351 ' hardness' 9\n56352 ' hardship' 9\n56353 ' hardware' 9\n56354 ' harmless' 9\n56355 ' harmonic' 9\n56356 ' headache' 9\n56357 ' headline' 9\n56358 ' hearings' 9\n56359 ' heavenly' 9\n56360 ' hectares' 9\n56361 ' helpless' 9\n56362 ' heritage' 9\n56363 ' hesitate' 9\n56364 ' highways' 9\n56365 ' historia' 9\n56366 ' historic' 9\n56367 ' hitherto' 9\n56368 ' holdings' 9\n56369 ' holidays' 9\n56370 ' holistic' 9\n56371 ' homeland' 9\n56372 ' homeless' 9\n56373 ' homemade' 9\n56374 ' homepage' 9\n56375 ' hometown' 9\n56376 ' homework' 9\n56377 ' homicide' 9\n56378 ' honestly' 9\n56379 ' hopeless' 9\n56380 ' hormonal' 9\n56381 ' hormones' 9\n56382 ' horrible' 9\n56383 ' horrific' 9\n56384 ' hospital' 9\n56385 ' hostname' 9\n56386 ' hovering' 9\n56387 ' humanity' 9\n56388 ' humidity' 9\n56389 ' humility' 9\n56390 ' hundreds' 9\n56391 ' husbands' 9\n56392 ' hydrogen' 9\n56393 ' hypothes' 9\n56394 ' identify' 9\n56395 ' identity' 9\n56396 ' ideology' 9\n56397 ' ignition' 9\n56398 ' ignorant' 9\n56399 ' ignoring' 9\n56400 ' illusion' 9\n56401 ' imagined' 9\n56402 ' immature' 9\n56403 ' immersed' 9\n56404 ' imminent' 9\n56405 ' immortal' 9\n56406 ' immunity' 9\n56407 ' impacted' 9\n56408 ' impaired' 9\n56409 ' imperial' 9\n56410 ' imperson' 9\n56411 ' implants' 9\n56412 ' implicit' 9\n56413 ' implying' 9\n56414 ' imported' 9\n56415 ' imposing' 9\n56416 ' imprison' 9\n56417 ' improper' 9\n56418 ' improved' 9\n56419 ' improves' 9\n56420 ' impulses' 9\n56421 ' inactive' 9\n56422 ' inadvert' 9\n56423 ' incarcer' 9\n56424 ' incentiv' 9\n56425 ' incident' 9\n56426 ' inclined' 9\n56427 ' included' 9\n56428 ' includes' 9\n56429 ' incoming' 9\n56430 ' incompet' 9\n56431 ' inconven' 9\n56432 ' incorpor' 9\n56433 ' increase' 9\n56434 ' incurred' 9\n56435 ' independ' 9\n56436 ' indexing' 9\n56437 ' indicate' 9\n56438 ' indirect' 9\n56439 ' inducing' 9\n56440 ' industri' 9\n56441 ' industry' 9\n56442 ' infamous' 9\n56443 ' infantry' 9\n56444 ' infected' 9\n56445 ' inferior' 9\n56446 ' inferred' 9\n56447 ' infinite' 9\n56448 ' infinity' 9\n56449 ' inflated' 9\n56450 ' informal' 9\n56451 ' informed' 9\n56452 ' infrared' 9\n56453 ' infusion' 9\n56454 ' inherent' 9\n56455 ' inherits' 9\n56456 ' initWith' 9\n56457 ' initiate' 9\n56458 ' injected' 9\n56459 ' injuries' 9\n56460 ' innocent' 9\n56461 ' insecure' 9\n56462 ' inserted' 9\n56463 ' insights' 9\n56464 ' insisted' 9\n56465 ' insomnia' 9\n56466 ' inspired' 9\n56467 ' instance' 9\n56468 ' instinct' 9\n56469 ' instruct' 9\n56470 ' insurers' 9\n56471 ' integers' 9\n56472 ' integral' 9\n56473 ' 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magazine' 9\n56569 ' magnetic' 9\n56570 ' magnific' 9\n56571 ' mainland' 9\n56572 ' maintain' 9\n56573 ' majority' 9\n56574 ' managers' 9\n56575 ' managing' 9\n56576 ' mandated' 9\n56577 ' mandates' 9\n56578 ' maneuver' 9\n56579 ' manifest' 9\n56580 ' manifold' 9\n56581 ' manière' 9\n56582 ' manually' 9\n56583 ' manufact' 9\n56584 ' mappings' 9\n56585 ' marathon' 9\n56586 ' marching' 9\n56587 ' marginal' 9\n56588 ' maritime' 9\n56589 ' markedly' 9\n56590 ' marketed' 9\n56591 ' markings' 9\n56592 ' marriage' 9\n56593 ' marrying' 9\n56594 ' massacre' 9\n56595 ' matching' 9\n56596 ' material' 9\n56597 ' maternal' 9\n56598 ' mathemat' 9\n56599 ' matière' 9\n56600 ' matrices' 9\n56601 ' mattered' 9\n56602 ' mattress' 9\n56603 ' maturity' 9\n56604 ' maximize' 9\n56605 ' mayoría' 9\n56606 ' meanings' 9\n56607 ' meantime' 9\n56608 ' measured' 9\n56609 ' measures' 9\n56610 ' mechanic' 9\n56611 ' mediante' 9\n56612 ' mediated' 9\n56613 ' mediator' 9\n56614 ' medicine' 9\n56615 ' medieval' 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molecule' 9\n56664 ' momentum' 9\n56665 ' monetary' 9\n56666 ' monitors' 9\n56667 ' monopoly' 9\n56668 ' monsters' 9\n56669 ' monument' 9\n56670 ' morality' 9\n56671 ' moreover' 9\n56672 ' mornings' 9\n56673 ' mortgage' 9\n56674 ' mosquito' 9\n56675 ' motivate' 9\n56676 ' mountain' 9\n56677 ' mounting' 9\n56678 ' movement' 9\n56679 ' multiple' 9\n56680 ' multiply' 9\n56681 ' murdered' 9\n56682 ' murderer' 9\n56683 ' muscular' 9\n56684 ' mushroom' 9\n56685 ' musician' 9\n56686 ' mutation' 9\n56687 ' muttered' 9\n56688 ' mutually' 9\n56689 ' mystical' 9\n56690 ' március' 9\n56691 ' månaden' 9\n56692 ' méthode' 9\n56693 ' möchten' 9\n56694 ' möglich' 9\n56695 ' nacional' 9\n56696 ' narrator' 9\n56697 ' narrowed' 9\n56698 ' narrower' 9\n56699 ' narrowly' 9\n56700 ' national' 9\n56701 ' navigate' 9\n56702 ' necklace' 9\n56703 ' negative' 9\n56704 ' neighbor' 9\n56705 ' networks' 9\n56706 ' neuronal' 9\n56707 ' người' 9\n56708 ' nickname' 9\n56709 ' nicotine' 9\n56710 ' nineteen' 9\n56711 ' 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9\n56759 ' operands' 9\n56760 ' operated' 9\n56761 ' operates' 9\n56762 ' operator' 9\n56763 ' opinions' 9\n56764 ' opponent' 9\n56765 ' opportun' 9\n56766 ' opposing' 9\n56767 ' opposite' 9\n56768 ' optimism' 9\n56769 ' optimize' 9\n56770 ' optional' 9\n56771 ' orchestr' 9\n56772 ' ordering' 9\n56773 ' ordinary' 9\n56774 ' organise' 9\n56775 ' organism' 9\n56776 ' organize' 9\n56777 ' oriented' 9\n56778 ' original' 9\n56779 ' ornament' 9\n56780 ' orthodox' 9\n56781 ' outbreak' 9\n56782 ' outcomes' 9\n56783 ' outdated' 9\n56784 ' outdoors' 9\n56785 ' outgoing' 9\n56786 ' outliers' 9\n56787 ' outlined' 9\n56788 ' outlines' 9\n56789 ' outreach' 9\n56790 ' outright' 9\n56791 ' overcome' 9\n56792 ' overdose' 9\n56793 ' overflow' 9\n56794 ' overhaul' 9\n56795 ' overhead' 9\n56796 ' overlaps' 9\n56797 ' overload' 9\n56798 ' overlook' 9\n56799 ' override' 9\n56800 ' overseas' 9\n56801 ' overtime' 9\n56802 ' overturn' 9\n56803 ' overview' 9\n56804 ' overwhel' 9\n56805 ' packaged' 9\n56806 ' 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practice' 9\n56902 ' preceded' 9\n56903 ' precious' 9\n56904 ' predator' 9\n56905 ' predicts' 9\n56906 ' predomin' 9\n56907 ' prefixes' 9\n56908 ' pregnant' 9\n56909 ' premiere' 9\n56910 ' premiers' 9\n56911 ' premises' 9\n56912 ' premiums' 9\n56913 ' prenatal' 9\n56914 ' prepared' 9\n56915 ' prepares' 9\n56916 ' presence' 9\n56917 ' presenta' 9\n56918 ' presente' 9\n56919 ' presents' 9\n56920 ' preserve' 9\n56921 ' pressing' 9\n56922 ' pressure' 9\n56923 ' prestige' 9\n56924 ' presumed' 9\n56925 ' prevents' 9\n56926 ' previous' 9\n56927 ' primeira' 9\n56928 ' primeiro' 9\n56929 ' princess' 9\n56930 ' printers' 9\n56931 ' printing' 9\n56932 ' priority' 9\n56933 ' prisoner' 9\n56934 ' pristine' 9\n56935 ' probabil' 9\n56936 ' probable' 9\n56937 ' probably' 9\n56938 ' problema' 9\n56939 ' problems' 9\n56940 ' proceeds' 9\n56941 ' processo' 9\n56942 ' produced' 9\n56943 ' producer' 9\n56944 ' produces' 9\n56945 ' products' 9\n56946 ' profiles' 9\n56947 ' profound' 9\n56948 ' programa' 9\n56949 ' programs' 9\n56950 ' progress' 9\n56951 ' prohibit' 9\n56952 ' projects' 9\n56953 ' prolifer' 9\n56954 ' prolific' 9\n56955 ' promised' 9\n56956 ' promises' 9\n56957 ' promoted' 9\n56958 ' promoter' 9\n56959 ' promotes' 9\n56960 ' prompted' 9\n56961 ' promptly' 9\n56962 ' properly' 9\n56963 ' property' 9\n56964 ' prophecy' 9\n56965 ' proposal' 9\n56966 ' proposed' 9\n56967 ' proposes' 9\n56968 ' propriet' 9\n56969 ' prospect' 9\n56970 ' prostate' 9\n56971 ' protagon' 9\n56972 ' protects' 9\n56973 ' proteins' 9\n56974 ' protests' 9\n56975 ' protocol' 9\n56976 ' provided' 9\n56977 ' provider' 9\n56978 ' provides' 9\n56979 ' province' 9\n56980 ' provoked' 9\n56981 ' proximal' 9\n56982 ' proyecto' 9\n56983 ' précéd' 9\n56984 ' présent' 9\n56985 ' próprio' 9\n56986 ' próxima' 9\n56987 ' próximo' 9\n56988 ' psychiat' 9\n56989 ' publicly' 9\n56990 ' punished' 9\n56991 ' punitive' 9\n56992 ' purchase' 9\n56993 ' purified' 9\n56994 ' purposes' 9\n56995 ' pursuant' 9\n56996 ' pursuing' 9\n56997 ' période' 9\n56998 ' północ' 9\n56999 ' pública' 9\n57000 ' público' 9\n57001 ' quadrant' 9\n57002 ' qualité' 9\n57003 ' qualquer' 9\n57004 ' quantify' 9\n57005 ' quantity' 9\n57006 ' quarters' 9\n57007 ' quelques' 9\n57008 ' querying' 9\n57009 ' question' 9\n57010 ' questão' 9\n57011 ' quotient' 9\n57012 ' radicals' 9\n57013 ' railroad' 9\n57014 ' rainfall' 9\n57015 ' randomly' 9\n57016 ' rankings' 9\n57017 ' rational' 9\n57018 ' reaching' 9\n57019 ' reacting' 9\n57020 ' reaction' 9\n57021 ' reactive' 9\n57022 ' reactors' 9\n57023 ' readable' 9\n57024 ' readings' 9\n57025 ' readonly' 9\n57026 ' realised' 9\n57027 ' realized' 9\n57028 ' realizes' 9\n57029 ' reasoned' 9\n57030 ' rebounds' 9\n57031 ' recalled' 9\n57032 ' receipts' 9\n57033 ' received' 9\n57034 ' receiver' 9\n57035 ' receives' 9\n57036 ' recently' 9\n57037 ' receptor' 9\n57038 ' recharge' 9\n57039 ' reciproc' 9\n57040 ' reckless' 9\n57041 ' recorded' 9\n57042 ' recorder' 9\n57043 ' recovery' 9\n57044 ' recreate' 9\n57045 ' recruits' 9\n57046 ' recycled' 9\n57047 ' redesign' 9\n57048 ' redirect' 9\n57049 ' redshift' 9\n57050 ' reducing' 9\n57051 ' refactor' 9\n57052 ' referral' 9\n57053 ' referred' 9\n57054 ' reflects' 9\n57055 ' refriger' 9\n57056 ' refugees' 9\n57057 ' refusing' 9\n57058 ' regained' 9\n57059 ' regarded' 9\n57060 ' regiment' 9\n57061 ' regional' 9\n57062 ' register' 9\n57063 ' registro' 9\n57064 ' registry' 9\n57065 ' regulate' 9\n57066 ' rejected' 9\n57067 ' relacion' 9\n57068 ' relating' 9\n57069 ' relation' 9\n57070 ' relative' 9\n57071 ' relaxing' 9\n57072 ' released' 9\n57073 ' releases' 9\n57074 ' relevant' 9\n57075 ' reliable' 9\n57076 ' reliably' 9\n57077 ' reliance' 9\n57078 ' relieved' 9\n57079 ' religion' 9\n57080 ' remained' 9\n57081 ' remarked' 9\n57082 ' remedies' 9\n57083 ' remember' 9\n57084 ' reminded' 9\n57085 ' reminder' 9\n57086 ' remnants' 9\n57087 ' remotely' 9\n57088 ' removing' 9\n57089 ' rendered' 9\n57090 ' renderer' 9\n57091 ' renowned' 9\n57092 ' repaired' 9\n57093 ' repeated' 9\n57094 ' replaced' 9\n57095 ' replaces' 9\n57096 ' replicas' 9\n57097 ' reported' 9\n57098 ' reporter' 9\n57099 ' republic' 9\n57100 ' requests' 9\n57101 ' required' 9\n57102 ' requires' 9\n57103 ' research' 9\n57104 ' resemble' 9\n57105 ' reserved' 9\n57106 ' reserves' 9\n57107 ' resident' 9\n57108 ' residing' 9\n57109 ' residual' 9\n57110 ' residues' 9\n57111 ' resigned' 9\n57112 ' resisted' 9\n57113 ' resistor' 9\n57114 ' resolved' 9\n57115 ' resolver' 9\n57116 ' resource' 9\n57117 ' respects' 9\n57118 ' responds' 9\n57119 ' response' 9\n57120 ' restless' 9\n57121 ' restored' 9\n57122 ' restrain' 9\n57123 ' restrict' 9\n57124 ' resulted' 9\n57125 ' retailer' 9\n57126 ' retained' 9\n57127 ' retarded' 9\n57128 ' retiring' 9\n57129 ' retrieve' 9\n57130 ' returned' 9\n57131 ' reusable' 9\n57132 ' revealed' 9\n57133 ' revenues' 9\n57134 ' reversal' 9\n57135 ' reversed' 9\n57136 ' reviewed' 9\n57137 ' reviewer' 9\n57138 ' revision' 9\n57139 ' rewarded' 9\n57140 ' rhetoric' 9\n57141 ' richness' 9\n57142 ' rigorous' 9\n57143 ' rivière' 9\n57144 ' rollback' 9\n57145 ' romantic' 9\n57146 ' rotating' 9\n57147 ' rotation' 9\n57148 ' rounding' 9\n57149 ' routines' 9\n57150 ' ruthless' 9\n57151 ' réponse' 9\n57152 ' réseaux' 9\n57153 ' sacrific' 9\n57154 ' salaries' 9\n57155 ' sampling' 9\n57156 ' sanction' 9\n57157 ' sandwich' 9\n57158 ' sanitize' 9\n57159 ' scaffold' 9\n57160 ' scalable' 9\n57161 ' scanning' 9\n57162 ' scarcely' 9\n57163 ' scenario' 9\n57164 ' schedule' 9\n57165 ' schließ' 9\n57166 ' scholars' 9\n57167 ' sciences' 9\n57168 ' scraping' 9\n57169 ' screamed' 9\n57170 ' screened' 9\n57171 ' scrutiny' 9\n57172 ' seamless' 9\n57173 ' searched' 9\n57174 ' searches' 9\n57175 ' seasonal' 9\n57176 ' seasoned' 9\n57177 ' secretly' 9\n57178 ' sections' 9\n57179 ' securely' 9\n57180 ' securing' 9\n57181 ' security' 9\n57182 ' sediment' 9\n57183 ' segments' 9\n57184 ' seizures' 9\n57185 ' selected' 9\n57186 ' selector' 9\n57187 ' selenium' 9\n57188 ' semantic' 9\n57189 ' semester' 9\n57190 ' senators' 9\n57191 ' sensible' 9\n57192 ' sentence' 9\n57193 ' sentinel' 9\n57194 ' separate' 9\n57195 ' sequence' 9\n57196 ' sergeant' 9\n57197 ' servants' 9\n57198 ' services' 9\n57199 ' serviço' 9\n57200 ' sessions' 9\n57201 ' settings' 9\n57202 ' settlers' 9\n57203 ' settling' 9\n57204 ' severely' 9\n57205 ' severity' 9\n57206 ' sexually' 9\n57207 ' shedding' 9\n57208 ' shelters' 9\n57209 ' shifting' 9\n57210 ' shipment' 9\n57211 ' shipping' 9\n57212 ' shocking' 9\n57213 ' shooting' 9\n57214 ' shoppers' 9\n57215 ' shopping' 9\n57216 ' shortage' 9\n57217 ' shortcut' 9\n57218 ' shortest' 9\n57219 ' shoulder' 9\n57220 ' shouting' 9\n57221 ' showcase' 9\n57222 ' shredded' 9\n57223 ' shrugged' 9\n57224 ' shutdown' 9\n57225 ' shutting' 9\n57226 ' siblings' 9\n57227 ' sickness' 9\n57228 ' sidewalk' 9\n57229 ' sideways' 9\n57230 ' signific' 9\n57231 ' silenced' 9\n57232 ' silently' 9\n57233 ' silicone' 9\n57234 ' simplest' 9\n57235 ' simplify' 9\n57236 ' simulate' 9\n57237 ' singular' 9\n57238 ' sinister' 9\n57239 ' situated' 9\n57240 ' skeletal' 9\n57241 ' skeleton' 9\n57242 ' sketches' 9\n57243 ' skipping' 9\n57244 ' sleeping' 9\n57245 ' slightly' 9\n57246 ' slippery' 9\n57247 ' slipping' 9\n57248 ' släktet' 9\n57249 ' smallest' 9\n57250 ' smoothed' 9\n57251 ' smoothly' 9\n57252 ' snapshot' 9\n57253 ' socially' 9\n57254 ' societal' 9\n57255 ' società' 9\n57256 ' softened' 9\n57257 ' software' 9\n57258 ' soldiers' 9\n57259 ' solitary' 9\n57260 ' solution' 9\n57261 ' somebody' 9\n57262 ' sometime' 9\n57263 ' somewhat' 9\n57264 ' soothing' 9\n57265 ' sounding' 9\n57266 ' southern' 9\n57267 ' spacious' 9\n57268 ' spanning' 9\n57269 ' speakers' 9\n57270 ' speaking' 9\n57271 ' specific' 9\n57272 ' specimen' 9\n57273 ' spectral' 9\n57274 ' spectrum' 9\n57275 ' speeches' 9\n57276 ' speeding' 9\n57277 ' spelling' 9\n57278 ' spending' 9\n57279 ' spinning' 9\n57280 ' splendid' 9\n57281 ' splitter' 9\n57282 ' sponsors' 9\n57283 ' sporting' 9\n57284 ' spraying' 9\n57285 ' sprinkle' 9\n57286 ' spécial' 9\n57287 ' squadron' 9\n57288 ' squeezed' 9\n57289 ' stacking' 9\n57290 ' staining' 9\n57291 ' standard' 9\n57292 ' standing' 9\n57293 ' starring' 9\n57294 ' starters' 9\n57295 ' starting' 9\n57296 ' startled' 9\n57297 ' startups' 9\n57298 ' starving' 9\n57299 ' stations' 9\n57300 ' statutes' 9\n57301 ' steadily' 9\n57302 ' stealing' 9\n57303 ' steering' 9\n57304 ' stemming' 9\n57305 ' stepping' 9\n57306 ' steroids' 9\n57307 ' sticking' 9\n57308 ' stimulus' 9\n57309 ' stirring' 9\n57310 ' stitches' 9\n57311 ' století' 9\n57312 ' stopping' 9\n57313 ' straight' 9\n57314 ' strained' 9\n57315 ' stranded' 9\n57316 ' stranger' 9\n57317 ' strategy' 9\n57318 ' stratég' 9\n57319 ' strength' 9\n57320 ' stressed' 9\n57321 ' stresses' 9\n57322 ' strictly' 9\n57323 ' striking' 9\n57324 ' stripped' 9\n57325 ' striving' 9\n57326 ' stronger' 9\n57327 ' strongly' 9\n57328 ' struggle' 9\n57329 ' stubborn' 9\n57330 ' students' 9\n57331 ' studying' 9\n57332 ' stumbled' 9\n57333 ' stunning' 9\n57334 ' subclass' 9\n57335 ' subgroup' 9\n57336 ' subjects' 9\n57337 ' subpoena' 9\n57338 ' substant' 9\n57339 ' subtract' 9\n57340 ' suburban' 9\n57341 ' succeeds' 9\n57342 ' suddenly' 9\n57343 ' suffered' 9\n57344 ' suggests' 9\n57345 ' suicidal' 9\n57346 ' suitable' 9\n57347 ' summoned' 9\n57348 ' sunlight' 9\n57349 ' sunshine' 9\n57350 ' superior' 9\n57351 ' supplied' 9\n57352 ' supplier' 9\n57353 ' supplies' 9\n57354 ' supports' 9\n57355 ' supposed' 9\n57356 ' suppress' 9\n57357 ' surfaced' 9\n57358 ' surfaces' 9\n57359 ' surgeons' 9\n57360 ' surgical' 9\n57361 ' surprise' 9\n57362 ' surround' 9\n57363 ' surveyed' 9\n57364 ' survival' 9\n57365 ' survived' 9\n57366 ' survives' 9\n57367 ' survivor' 9\n57368 ' suspects' 9\n57369 ' sweeping' 9\n57370 ' swelling' 9\n57371 ' swimming' 9\n57372 ' swinging' 9\n57373 ' switched' 9\n57374 ' switches' 9\n57375 ' symbolic' 9\n57376 ' symmetry' 9\n57377 ' sympathy' 9\n57378 ' symptoms' 9\n57379 ' synaptic' 9\n57380 ' synchron' 9\n57381 ' syndrome' 9\n57382 ' systemic' 9\n57383 ' système' 9\n57384 ' tackling' 9\n57385 ' tactical' 9\n57386 ' tailored' 9\n57387 ' takeover' 9\n57388 ' talented' 9\n57389 ' también' 9\n57390 ' tangible' 9\n57391 ' targeted' 9\n57392 ' taxation' 9\n57393 ' taxonomy' 9\n57394 ' taxpayer' 9\n57395 ' teachers' 9\n57396 ' teaching' 9\n57397 ' teammate' 9\n57398 ' teaspoon' 9\n57399 ' teenager' 9\n57400 ' telegram' 9\n57401 ' template' 9\n57402 ' temporal' 9\n57403 ' tempting' 9\n57404 ' tendency' 9\n57405 ' tensions' 9\n57406 ' terminal' 9\n57407 ' terminus' 9\n57408 ' terrible' 9\n57409 ' terribly' 9\n57410 ' terrific' 9\n57411 ' testimon' 9\n57412 ' textbook' 9\n57413 ' textures' 9\n57414 ' thankful' 9\n57415 ' theaters' 9\n57416 ' theology' 9\n57417 ' theories' 9\n57418 ' thinkers' 9\n57419 ' thinking' 9\n57420 ' thirteen' 9\n57421 ' thorough' 9\n57422 ' thoughts' 9\n57423 ' thousand' 9\n57424 ' threaded' 9\n57425 ' threaten' 9\n57426 ' thrilled' 9\n57427 ' thriller' 9\n57428 ' thriving' 9\n57429 ' throttle' 9\n57430 ' throwing' 9\n57431 ' timeline' 9\n57432 ' timestep' 9\n57433 ' timezone' 9\n57434 ' titanium' 9\n57435 ' together' 9\n57436 ' tolerant' 9\n57437 ' tolerate' 9\n57438 ' tomatoes' 9\n57439 ' tomorrow' 9\n57440 ' topology' 9\n57441 ' tortured' 9\n57442 ' touching' 9\n57443 ' toujours' 9\n57444 ' tourists' 9\n57445 ' township' 9\n57446 ' toxicity' 9\n57447 ' trabalho' 9\n57448 ' tracking' 9\n57449 ' traction' 9\n57450 ' trailers' 9\n57451 ' trailing' 9\n57452 ' trainers' 9\n57453 ' training' 9\n57454 ' tranquil' 9\n57455 ' transfer' 9\n57456 ' transmit' 9\n57457 ' trapping' 9\n57458 ' traveled' 9\n57459 ' traveler' 9\n57460 ' traverse' 9\n57461 ' treasure' 9\n57462 ' treaties' 9\n57463 ' treating' 9\n57464 ' trenches' 9\n57465 ' triangle' 9\n57466 ' tribunal' 9\n57467 ' triggers' 9\n57468 ' trillion' 9\n57469 ' tropical' 9\n57470 ' troubled' 9\n57471 ' troubles' 9\n57472 ' trousers' 9\n57473 ' truncate' 9\n57474 ' trustees' 9\n57475 ' trusting' 9\n57476 ' turbines' 9\n57477 ' turnover' 9\n57478 ' tutorial' 9\n57479 ' twisting' 9\n57480 ' typename' 9\n57481 ' ultimate' 9\n57482 ' umbrella' 9\n57483 ' unbiased' 9\n57484 ' uncommon' 9\n57485 ' underway' 9\n57486 ' unfolded' 9\n57487 ' uniforms' 9\n57488 ' uniquely' 9\n57489 ' unittest' 9\n57490 ' universe' 9\n57491 ' unlawful' 9\n57492 ' unlikely' 9\n57493 ' unlocked' 9\n57494 ' unsigned' 9\n57495 ' unstable' 9\n57496 ' unveiled' 9\n57497 ' unwanted' 9\n57498 ' upcoming' 9\n57499 ' updating' 9\n57500 ' upgraded' 9\n57501 ' upgrades' 9\n57502 ' uploaded' 9\n57503 ' uprising' 9\n57504 ' upstairs' 9\n57505 ' upstream' 9\n57506 ' urgently' 9\n57507 ' username' 9\n57508 ' usuário' 9\n57509 ' utilisé' 9\n57510 ' utilized' 9\n57511 ' utilizes' 9\n57512 ' vacation' 9\n57513 ' vaccines' 9\n57514 ' validate' 9\n57515 ' validity' 9\n57516 ' valuable' 9\n57517 ' vanished' 9\n57518 ' variable' 9\n57519 ' variance' 9\n57520 ' variants' 9\n57521 ' vascular' 9\n57522 ' vehicles' 9\n57523 ' velocity' 9\n57524 ' ventures' 9\n57525 ' verified' 9\n57526 ' verifies' 9\n57527 ' versions' 9\n57528 ' versión' 9\n57529 ' vertical' 9\n57530 ' vertices' 9\n57531 ' veterans' 9\n57532 ' vicinity' 9\n57533 ' vigorous' 9\n57534 ' villages' 9\n57535 ' violated' 9\n57536 ' violates' 9\n57537 ' violence' 9\n57538 ' visceral' 9\n57539 ' visiting' 9\n57540 ' visitors' 9\n57541 ' visually' 9\n57542 ' vitamins' 9\n57543 ' volatile' 9\n57544 ' volcanic' 9\n57545 ' vomiting' 9\n57546 ' wandered' 9\n57547 ' wardrobe' 9\n57548 ' warnings' 9\n57549 ' warrants' 9\n57550 ' warranty' 9\n57551 ' warriors' 9\n57552 ' watching' 9\n57553 ' waveform' 9\n57554 ' weakened' 9\n57555 ' weakness' 9\n57556 ' websites' 9\n57557 ' weddings' 9\n57558 ' weekends' 9\n57559 ' weighing' 9\n57560 ' weighted' 9\n57561 ' welcomed' 9\n57562 ' welcomes' 9\n57563 ' wellness' 9\n57564 ' whatever' 9\n57565 ' whenever' 9\n57566 ' wherever' 9\n57567 ' widening' 9\n57568 ' wildlife' 9\n57569 ' wireless' 9\n57570 ' withdraw' 9\n57571 ' withdrew' 9\n57572 ' wondered' 9\n57573 ' workbook' 9\n57574 ' workflow' 9\n57575 ' workload' 9\n57576 ' workshop' 9\n57577 ' worrying' 9\n57578 ' wrapping' 9\n57579 ' writings' 9\n57580 ' während' 9\n57581 ' yielding' 9\n57582 ' youngest' 9\n57583 ' yourself' 9\n57584 ' youthful' 9\n57585 ' została' 9\n57586 ' zusammen' 9\n57587 ' zwischen' 9\n57588 ' április' 9\n57589 ' édition' 9\n57590 ' épisode' 9\n57591 ' équipes' 9\n57592 ' étaient' 9\n57593 ' últimos' 9\n57594 ' článku' 9\n57595 ' được' 9\n57596 ' Алек' 9\n57597 ' Архи' 9\n57598 ' Бело' 9\n57599 ' Боль' 9\n57600 ' Васи' 9\n57601 ' Вели' 9\n57602 ' Види' 9\n57603 ' Воло' 9\n57604 ' Геор' 9\n57605 ' Глав' 9\n57606 ' Дата' 9\n57607 ' Демо' 9\n57608 ' Джон' 9\n57609 ' Евро' 9\n57610 ' Иван' 9\n57611 ' Исто' 9\n57612 ' Кара' 9\n57613 ' Київ' 9\n57614 ' Коро' 9\n57615 ' Крас' 9\n57616 ' Миха' 9\n57617 ' Моск' 9\n57618 ' Насе' 9\n57619 ' Ново' 9\n57620 ' Одна' 9\n57621 ' Пари' 9\n57622 ' Пере' 9\n57623 ' Поль' 9\n57624 ' Пред' 9\n57625 ' През' 9\n57626 ' Резу' 9\n57627 ' Роди' 9\n57628 ' СССР' 9\n57629 ' Серг' 9\n57630 ' Сере' 9\n57631 ' Сове' 9\n57632 ' Сред' 9\n57633 ' Укра' 9\n57634 ' Фран' 9\n57635 ' Цент' 9\n57636 ' авгу' 9\n57637 ' авиа' 9\n57638 ' авто' 9\n57639 ' анти' 9\n57640 ' апре' 9\n57641 ' арти' 9\n57642 ' архи' 9\n57643 ' бере' 9\n57644 ' боль' 9\n57645 ' буде' 9\n57646 ' буду' 9\n57647 ' була' 9\n57648 ' були' 9\n57649 ' було' 9\n57650 ' была' 9\n57651 ' были' 9\n57652 ' было' 9\n57653 ' быть' 9\n57654 ' біль' 9\n57655 ' везе' 9\n57656 ' века' 9\n57657 ' вели' 9\n57658 ' вере' 9\n57659 ' виде' 9\n57660 ' вико' 9\n57661 ' висо' 9\n57662 ' вклю' 9\n57663 ' внут' 9\n57664 ' водо' 9\n57665 ' воен' 9\n57666 ' воло' 9\n57667 ' впер' 9\n57668 ' врем' 9\n57669 ' всех' 9\n57670 ' выпу' 9\n57671 ' высо' 9\n57672 ' выше' 9\n57673 ' відо' 9\n57674 ' віці' 9\n57675 ' гене' 9\n57676 ' глав' 9\n57677 ' гово' 9\n57678 ' года' 9\n57679 ' годи' 9\n57680 ' году' 9\n57681 ' годы' 9\n57682 ' голо' 9\n57683 ' горо' 9\n57684 ' град' 9\n57685 ' граф' 9\n57686 ' груп' 9\n57687 ' двух' 9\n57688 ' дека' 9\n57689 ' дела' 9\n57690 ' день' 9\n57691 ' дере' 9\n57692 ' деся' 9\n57693 ' дире' 9\n57694 ' доку' 9\n57695 ' долж' 9\n57696 ' дома' 9\n57697 ' допо' 9\n57698 ' доро' 9\n57699 ' древ' 9\n57700 ' држа' 9\n57701 ' друг' 9\n57702 ' един' 9\n57703 ' если' 9\n57704 ' есть' 9\n57705 ' жена' 9\n57706 ' живе' 9\n57707 ' живо' 9\n57708 ' жовт' 9\n57709 ' заво' 9\n57710 ' зада' 9\n57711 ' зали' 9\n57712 ' заме' 9\n57713 ' заня' 9\n57714 ' запа' 9\n57715 ' защи' 9\n57716 ' збір' 9\n57717 ' знач' 9\n57718 ' золо' 9\n57719 ' игра' 9\n57720 ' изда' 9\n57721 ' имен' 9\n57722 ' импе' 9\n57723 ' инте' 9\n57724 ' испо' 9\n57725 ' исто' 9\n57726 ' июля' 9\n57727 ' июня' 9\n57728 ' його' 9\n57729 ' капи' 9\n57730 ' карь' 9\n57731 ' ката' 9\n57732 ' кате' 9\n57733 ' като' 9\n57734 ' кафе' 9\n57735 ' каче' 9\n57736 ' квіт' 9\n57737 ' кино' 9\n57738 ' клуб' 9\n57739 ' коли' 9\n57740 ' коло' 9\n57741 ' коми' 9\n57742 ' комп' 9\n57743 ' копи' 9\n57744 ' коро' 9\n57745 ' кото' 9\n57746 ' која' 9\n57747 ' које' 9\n57748 ' који' 9\n57749 ' край' 9\n57750 ' краї' 9\n57751 ' круп' 9\n57752 ' куль' 9\n57753 ' кіль' 9\n57754 ' люди' 9\n57755 ' людя' 9\n57756 ' мало' 9\n57757 ' мате' 9\n57758 ' меда' 9\n57759 ' меди' 9\n57760 ' мене' 9\n57761 ' мест' 9\n57762 ' меся' 9\n57763 ' мето' 9\n57764 ' мини' 9\n57765 ' мира' 9\n57766 ' могу' 9\n57767 ' може' 9\n57768 ' моло' 9\n57769 ' мона' 9\n57770 ' моря' 9\n57771 ' музе' 9\n57772 ' музи' 9\n57773 ' музы' 9\n57774 ' насе' 9\n57775 ' наук' 9\n57776 ' нача' 9\n57777 ' него' 9\n57778 ' неза' 9\n57779 ' неко' 9\n57780 ' необ' 9\n57781 ' ново' 9\n57782 ' обла' 9\n57783 ' обра' 9\n57784 ' обще' 9\n57785 ' общи' 9\n57786 ' один' 9\n57787 ' одна' 9\n57788 ' одно' 9\n57789 ' окон' 9\n57790 ' окру' 9\n57791 ' оста' 9\n57792 ' осіб' 9\n57793 ' отде' 9\n57794 ' отли' 9\n57795 ' отме' 9\n57796 ' отно' 9\n57797 ' отри' 9\n57798 ' памя' 9\n57799 ' пара' 9\n57800 ' пере' 9\n57801 ' пери' 9\n57802 ' писа' 9\n57803 ' пись' 9\n57804 ' побе' 9\n57805 ' пове' 9\n57806 ' пові' 9\n57807 ' пода' 9\n57808 ' подо' 9\n57809 ' пози' 9\n57810 ' пока' 9\n57811 ' поле' 9\n57812 ' поли' 9\n57813 ' поло' 9\n57814 ' полу' 9\n57815 ' поль' 9\n57816 ' полі' 9\n57817 ' поме' 9\n57818 ' помо' 9\n57819 ' попу' 9\n57820 ' пора' 9\n57821 ' посе' 9\n57822 ' посл' 9\n57823 ' поча' 9\n57824 ' прав' 9\n57825 ' пред' 9\n57826 ' през' 9\n57827 ' приз' 9\n57828 ' прис' 9\n57829 ' пров' 9\n57830 ' прод' 9\n57831 ' проф' 9\n57832 ' рабо' 9\n57833 ' ради' 9\n57834 ' райо' 9\n57835 ' реги' 9\n57836 ' регі' 9\n57837 ' реда' 9\n57838 ' режи' 9\n57839 ' резу' 9\n57840 ' реки' 9\n57841 ' робо' 9\n57842 ' роди' 9\n57843 ' року' 9\n57844 ' роль' 9\n57845 ' році' 9\n57846 ' сайт' 9\n57847 ' само' 9\n57848 ' самы' 9\n57849 ' сбор' 9\n57850 ' свет' 9\n57851 ' свои' 9\n57852 ' свой' 9\n57853 ' свою' 9\n57854 ' свої' 9\n57855 ' світ' 9\n57856 ' себе' 9\n57857 ' себя' 9\n57858 ' сезо' 9\n57859 ' села' 9\n57860 ' село' 9\n57861 ' сель' 9\n57862 ' сент' 9\n57863 ' сери' 9\n57864 ' скла' 9\n57865 ' след' 9\n57866 ' слов' 9\n57867 ' служ' 9\n57868 ' смер' 9\n57869 ' сооб' 9\n57870 ' спис' 9\n57871 ' спор' 9\n57872 ' сред' 9\n57873 ' став' 9\n57874 ' стал' 9\n57875 ' стан' 9\n57876 ' стар' 9\n57877 ' ство' 9\n57878 ' стра' 9\n57879 ' стре' 9\n57880 ' суще' 9\n57881 ' сіль' 9\n57882 ' тако' 9\n57883 ' твор' 9\n57884 ' теле' 9\n57885 ' титу' 9\n57886 ' това' 9\n57887 ' того' 9\n57888 ' тому' 9\n57889 ' трав' 9\n57890 ' тран' 9\n57891 ' укра' 9\n57892 ' уров' 9\n57893 ' успе' 9\n57894 ' файл' 9\n57895 ' фами' 9\n57896 ' физи' 9\n57897 ' филь' 9\n57898 ' фото' 9\n57899 ' фран' 9\n57900 ' фрон' 9\n57901 ' функ' 9\n57902 ' філь' 9\n57903 ' худо' 9\n57904 ' цент' 9\n57905 ' част' 9\n57906 ' четы' 9\n57907 ' член' 9\n57908 ' широ' 9\n57909 ' этой' 9\n57910 ' этом' 9\n57911 ' этот' 9\n57912 ' явля' 9\n57913 ' який' 9\n57914 ' яких' 9\n57915 ' янва' 9\n57916 ' شركة' 9\n57917 '---------' 9\n57918 '.........' 9\n57919 '../../../' 9\n57920 '=========' 9\n57921 'ASHINGTON' 9\n57922 'AVAILABLE' 9\n57923 'According' 9\n57924 'Activated' 9\n57925 'Alexander' 9\n57926 'Algorithm' 9\n57927 'Alignment' 9\n57928 'Americans' 9\n57929 'Animation' 9\n57930 'Anonymous' 9\n57931 'Arguments' 9\n57932 'ArrayList' 9\n57933 'Assembler' 9\n57934 'Attention' 9\n57935 'Attribute' 9\n57936 'Australia' 9\n57937 'Automatic' 9\n57938 'Available' 9\n57939 'Basically' 9\n57940 'BatchNorm' 9\n57941 'Beautiful' 9\n57942 'Benchmark' 9\n57943 'Bootstrap' 9\n57944 'BoxLayout' 9\n57945 'Broadcast' 9\n57946 'ByteArray' 9\n57947 'CONDITION' 9\n57948 'Calculate' 9\n57949 'Callbacks' 9\n57950 'Capítulo' 9\n57951 'Certainly' 9\n57952 'CharField' 9\n57953 'Character' 9\n57954 'Christian' 9\n57955 'ClassName' 9\n57956 'Clipboard' 9\n57957 'Collector' 9\n57958 'Collision' 9\n57959 'Community' 9\n57960 'Completed' 9\n57961 'Component' 9\n57962 'Composite' 9\n57963 'Condition' 9\n57964 'Configure' 9\n57965 'Connected' 9\n57966 'Connector' 9\n57967 'Constants' 9\n57968 'Construct' 9\n57969 'Container' 9\n57970 'Converter' 9\n57971 'Copyright' 9\n57972 'Currently' 9\n57973 'DIRECTORY' 9\n57974 'Dashboard' 9\n57975 'DataFrame' 9\n57976 'DataTable' 9\n57977 'Decorator' 9\n57978 'Detection' 9\n57979 'Determine' 9\n57980 'Developer' 9\n57981 'Different' 9\n57982 'Dimension' 9\n57983 'Direction' 9\n57984 'Directive' 9\n57985 'Directory' 9\n57986 'Discovery' 9\n57987 'Documents' 9\n57988 'Duplicate' 9\n57989 'Education' 9\n57990 'Effective' 9\n57991 'Elizabeth' 9\n57992 'Estimated' 9\n57993 'Evaluator' 9\n57994 'EventArgs' 9\n57995 'Everybody' 9\n57996 'Excellent' 9\n57997 'Exception' 9\n57998 'Execution' 9\n57999 'Extension' 9\n58000 'Extractor' 9\n58001 'FORMATION' 9\n58002 'Financial' 9\n58003 'FirstName' 9\n58004 'Following' 9\n58005 'Forbidden' 9\n58006 'Formatter' 9\n58007 'Framework' 9\n58008 'Frequency' 9\n58009 'Functions' 9\n58010 'Generally' 9\n58011 'Generated' 9\n58012 'Generator' 9\n58013 'GroupName' 9\n58014 'Helvetica' 9\n58015 'Hierarchy' 9\n58016 'Highlight' 9\n58017 'Histogram' 9\n58018 'IFICATION' 9\n58019 'INCLUDING' 9\n58020 'ImageView' 9\n58021 'Implement' 9\n58022 'Important' 9\n58023 'Increment' 9\n58024 'IndexPath' 9\n58025 'Indicator' 9\n58026 'Instagram' 9\n58027 'Installer' 9\n58028 'Instances' 9\n58029 'Interface' 9\n58030 'Inventory' 9\n58031 'Iteration' 9\n58032 'Locations' 9\n58033 'Longitude' 9\n58034 'LowerCase' 9\n58035 'Materials' 9\n58036 'Meanwhile' 9\n58037 'Microsoft' 9\n58038 'Migration' 9\n58039 'Namespace' 9\n58040 'Navigator' 9\n58041 'Normalize' 9\n58042 'ORIZONTAL' 9\n58043 'Objective' 9\n58044 'Obviously' 9\n58045 'Operation' 9\n58046 'Operators' 9\n58047 'Optimizer' 9\n58048 'Otherwise' 9\n58049 'PLICATION' 9\n58050 'Paragraph' 9\n58051 'Parameter' 9\n58052 'Partition' 9\n58053 'Placement' 9\n58054 'Political' 9\n58055 'Positions' 9\n58056 'Precision' 9\n58057 'Predicate' 9\n58058 'Preferred' 9\n58059 'President' 9\n58060 'Primitive' 9\n58061 'Principal' 9\n58062 'Procedure' 9\n58063 'Processor' 9\n58064 'Professor' 9\n58065 'Prototype' 9\n58066 'Providers' 9\n58067 'Published' 9\n58068 'Publisher' 9\n58069 'Questions' 9\n58070 'REFERENCE' 9\n58071 'Recommend' 9\n58072 'Recording' 9\n58073 'Rectangle' 9\n58074 'Recursive' 9\n58075 'Reference' 9\n58076 'Regarding' 9\n58077 'Regressor' 9\n58078 'Relations' 9\n58079 'Reporting' 9\n58080 'Represent' 9\n58081 'Requested' 9\n58082 'Resources' 9\n58083 'Responder' 9\n58084 'ResultSet' 9\n58085 'Scheduled' 9\n58086 'Scheduler' 9\n58087 'ScrollBar' 9\n58088 'Secondary' 9\n58089 'Selection' 9\n58090 'Separator' 9\n58091 'September' 9\n58092 'Serialize' 9\n58093 'Signature' 9\n58094 'Similarly' 9\n58095 'Singleton' 9\n58096 'Something' 9\n58097 'Sometimes' 9\n58098 'StartDate' 9\n58099 'StartTime' 9\n58100 'Statement' 9\n58101 'Statistic' 9\n58102 'Structure' 9\n58103 'Submitted' 9\n58104 'Subscribe' 9\n58105 'Supported' 9\n58106 'TableView' 9\n58107 'Technical' 9\n58108 'Templates' 9\n58109 'Temporary' 9\n58110 'TextField' 9\n58111 'Therefore' 9\n58112 'Thickness' 9\n58113 'Threshold' 9\n58114 'Thumbnail' 9\n58115 'Timestamp' 9\n58116 'Tokenizer' 9\n58117 'Transform' 9\n58118 'Translate' 9\n58119 'Transport' 9\n58120 'Transpose' 9\n58121 'Treatment' 9\n58122 'TypeError' 9\n58123 'Undefined' 9\n58124 'Universal' 9\n58125 'Utilities' 9\n58126 'Validator' 9\n58127 'Variables' 9\n58128 'ViewModel' 9\n58129 'WebSocket' 9\n58130 'Wednesday' 9\n58131 'Workspace' 9\n58132 'WriteLine' 9\n58133 'Yesterday' 9\n58134 'abilidade' 9\n58135 'abilities' 9\n58136 'according' 9\n58137 'aceutical' 9\n58138 'achusetts' 9\n58139 'activated' 9\n58140 'activité' 9\n58141 'addWidget' 9\n58142 'addresses' 9\n58143 'aggregate' 9\n58144 'agreement' 9\n58145 'akespeare' 9\n58146 'algorithm' 9\n58147 'alignment' 9\n58148 'allocated' 9\n58149 'alternate' 9\n58150 'amination' 9\n58151 'amplitude' 9\n58152 'animation' 9\n58153 'anonymous' 9\n58154 'antically' 9\n58155 'arguments' 9\n58156 'ashington' 9\n58157 'asionally' 9\n58158 'associate' 9\n58159 'astically' 9\n58160 'ategories' 9\n58161 'ationally' 9\n58162 'attention' 9\n58163 'attribute' 9\n58164 'authentic' 9\n58165 'authority' 9\n58166 'authorize' 9\n58167 'automatic' 9\n58168 'autorité' 9\n58169 'available' 9\n58170 'avascript' 9\n58171 'avelength' 9\n58172 'avigation' 9\n58173 'behaviour' 9\n58174 'benchmark' 9\n58175 'bootstrap' 9\n58176 'broadcast' 9\n58177 'calculate' 9\n58178 'candidate' 9\n58179 'canonical' 9\n58180 'challenge' 9\n58181 'character' 9\n58182 'clamation' 9\n58183 'className' 9\n58184 'collector' 9\n58185 'collision' 9\n58186 'committed' 9\n58187 'committee' 9\n58188 'community' 9\n58189 'completed' 9\n58190 'component' 9\n58191 'composite' 9\n58192 'condition' 9\n58193 'configure' 9\n58194 'confirmed' 9\n58195 'connected' 9\n58196 'connector' 9\n58197 'conscious' 9\n58198 'constants' 9\n58199 'construct' 9\n58200 'consulté' 9\n58201 'consuming' 9\n58202 'contained' 9\n58203 'container' 9\n58204 'continued' 9\n58205 'converter' 9\n58206 'copyright' 9\n58207 'corrected' 9\n58208 'criptions' 9\n58209 'criterion' 9\n58210 'currently' 9\n58211 'dashboard' 9\n58212 'delimiter' 9\n58213 'dependent' 9\n58214 'described' 9\n58215 'detection' 9\n58216 'developed' 9\n58217 'developer' 9\n58218 'different' 9\n58219 'dimension' 9\n58220 'direction' 9\n58221 'directive' 9\n58222 'directory' 9\n58223 'documents' 9\n58224 'duplicate' 9\n58225 'ederbörd' 9\n58226 'education' 9\n58227 'effective' 9\n58228 'efficient' 9\n58229 'elevation' 9\n58230 'elligence' 9\n58231 'ellschaft' 9\n58232 'embedding' 9\n58233 'encrypted' 9\n58234 'enumerate' 9\n58235 'erculosis' 9\n58236 'essential' 9\n58237 'establish' 9\n58238 'estimated' 9\n58239 'estimator' 9\n58240 'etermined' 9\n58241 'evolution' 9\n58242 'exception' 9\n58243 'exclusive' 9\n58244 'execution' 9\n58245 'existence' 9\n58246 'expansion' 9\n58247 'extension' 9\n58248 'fieldname' 9\n58249 'financial' 9\n58250 'following' 9\n58251 'forcement' 9\n58252 'formation' 9\n58253 'formatted' 9\n58254 'formatter' 9\n58255 'framework' 9\n58256 'frequency' 9\n58257 'functions' 9\n58258 'férences' 9\n58259 'generated' 9\n58260 'generator' 9\n58261 'geometric' 9\n58262 'getObject' 9\n58263 'getString' 9\n58264 'gregation' 9\n58265 'heartbeat' 9\n58266 'heuristic' 9\n58267 'hibernate' 9\n58268 'highlight' 9\n58269 'ibilities' 9\n58270 'ictionary' 9\n58271 'icultural' 9\n58272 'identally' 9\n58273 'identical' 9\n58274 'idespread' 9\n58275 'ifference' 9\n58276 'ificantly' 9\n58277 'ification' 9\n58278 'igrations' 9\n58279 'implement' 9\n58280 'important' 9\n58281 'inception' 9\n58282 'including' 9\n58283 'inclusive' 9\n58284 'increment' 9\n58285 'indexPath' 9\n58286 'indicator' 9\n58287 'inference' 9\n58288 'ingsområ' 9\n58289 'innerHTML' 9\n58290 'insertion' 9\n58291 'instagram' 9\n58292 'installed' 9\n58293 'installer' 9\n58294 'instances' 9\n58295 'intendent' 9\n58296 'intensity' 9\n58297 'interface' 9\n58298 'interpret' 9\n58299 'interrupt' 9\n58300 'intersect' 9\n58301 'invariant' 9\n58302 'inventory' 9\n58303 'iological' 9\n58304 'irmingham' 9\n58305 'irtschaft' 9\n58306 'istically' 9\n58307 'istration' 9\n58308 'iteration' 9\n58309 'itionally' 9\n58310 'itzerland' 9\n58311 'ièrement' 9\n58312 'jectories' 9\n58313 'knowledge' 9\n58314 'languages' 9\n58315 'libraries' 9\n58316 'lications' 9\n58317 'ließlich' 9\n58318 'linewidth' 9\n58319 'localhost' 9\n58320 'localized' 9\n58321 'locations' 9\n58322 'longitude' 9\n58323 'magnitude' 9\n58324 'materials' 9\n58325 'matically' 9\n58326 'mediately' 9\n58327 'mentation' 9\n58328 'mentioned' 9\n58329 'microsoft' 9\n58330 'migration' 9\n58331 'minecraft' 9\n58332 'multipart' 9\n58333 'naissance' 9\n58334 'namespace' 9\n58335 'necessary' 9\n58336 'neighbors' 9\n58337 'neighbour' 9\n58338 'normalize' 9\n58339 'notations' 9\n58340 'nutrition' 9\n58341 'objective' 9\n58342 'ochemical' 9\n58343 'ociación' 9\n58344 'ociação' 9\n58345 'odynamics' 9\n58346 'ographers' 9\n58347 'ographics' 9\n58348 'ographies' 9\n58349 'ográfica' 9\n58350 'olesterol' 9\n58351 'omination' 9\n58352 'omorphism' 9\n58353 'openhagen' 9\n58354 'operation' 9\n58355 'operative' 9\n58356 'operators' 9\n58357 'ophysical' 9\n58358 'optimized' 9\n58359 'optimizer' 9\n58360 'ordinates' 9\n58361 'ordinator' 9\n58362 'orescence' 9\n58363 'organisms' 9\n58364 'organized' 9\n58365 'otherwise' 9\n58366 'overnment' 9\n58367 'overrides' 9\n58368 'overwrite' 9\n58369 'paragraph' 9\n58370 'parameter' 9\n58371 'particles' 9\n58372 'partition' 9\n58373 'permalink' 9\n58374 'placement' 9\n58375 'plaintext' 9\n58376 'planation' 9\n58377 'plication' 9\n58378 'political' 9\n58379 'portation' 9\n58380 'portfolio' 9\n58381 'portunity' 9\n58382 'positions' 9\n58383 'posterior' 9\n58384 'potential' 9\n58385 'precision' 9\n58386 'predicate' 9\n58387 'predicted' 9\n58388 'preferred' 9\n58389 'president' 9\n58390 'primitive' 9\n58391 'principal' 9\n58392 'prisingly' 9\n58393 'procedure' 9\n58394 'processed' 9\n58395 'processor' 9\n58396 'protected' 9\n58397 'prototype' 9\n58398 'published' 9\n58399 'qualified' 9\n58400 'questions' 9\n58401 'quisition' 9\n58402 'readcrumb' 9\n58403 'recipient' 9\n58404 'recommend' 9\n58405 'rectangle' 9\n58406 'recursive' 9\n58407 'reduction' 9\n58408 'reference' 9\n58409 'regulated' 9\n58410 'relations' 9\n58411 'religious' 9\n58412 'remaining' 9\n58413 'reporting' 9\n58414 'represent' 9\n58415 'requently' 9\n58416 'requested' 9\n58417 'resistant' 9\n58418 'resources' 9\n58419 'ribución' 9\n58420 'roduction' 9\n58421 'ropolitan' 9\n58422 'scheduler' 9\n58423 'scription' 9\n58424 'scrollTop' 9\n58425 'secondary' 9\n58426 'selection' 9\n58427 'sensitive' 9\n58428 'separated' 9\n58429 'separator' 9\n58430 'sequences' 9\n58431 'sequently' 9\n58432 'serialize' 9\n58433 'setLayout' 9\n58434 'signature' 9\n58435 'simulator' 9\n58436 'singleton' 9\n58437 'something' 9\n58438 'sometimes' 9\n58439 'specified' 9\n58440 'startDate' 9\n58441 'startTime' 9\n58442 'statement' 9\n58443 'statistic' 9\n58444 'sterreich' 9\n58445 'stitution' 9\n58446 'straction' 9\n58447 'stringify' 9\n58448 'struction' 9\n58449 'structure' 9\n58450 'subscribe' 9\n58451 'substring' 9\n58452 'supported' 9\n58453 'symmetric' 9\n58454 'tableView' 9\n58455 'tablename' 9\n58456 'technical' 9\n58457 'templates' 9\n58458 'terminate' 9\n58459 'terrorism' 9\n58460 'thickness' 9\n58461 'threshold' 9\n58462 'thumbnail' 9\n58463 'timestamp' 9\n58464 'tokenizer' 9\n58465 'tolerance' 9\n58466 'transform' 9\n58467 'translate' 9\n58468 'transport' 9\n58469 'transpose' 9\n58470 'treatment' 9\n58471 'triggered' 9\n58472 'typically' 9\n58473 'ubernetes' 9\n58474 'uellement' 9\n58475 'ufacturer' 9\n58476 'ufficient' 9\n58477 'umberland' 9\n58478 'unciation' 9\n58479 'undefined' 9\n58480 'underline' 9\n58481 'universal' 9\n58482 'unningham' 9\n58483 'unsqueeze' 9\n58484 'uplicates' 9\n58485 'uppercase' 9\n58486 'upuncture' 9\n58487 'urlencode' 9\n58488 'urrection' 9\n58489 'ustration' 9\n58490 'validated' 9\n58491 'validator' 9\n58492 'valuation' 9\n58493 'variables' 9\n58494 'variation' 9\n58495 'veillance' 9\n58496 'velopment' 9\n58497 'ventional' 9\n58498 'verbosity' 9\n58499 'versation' 9\n58500 'vertising' 9\n58501 'vironment' 9\n58502 'webdriver' 9\n58503 'websocket' 9\n58504 'widetilde' 9\n58505 'wikipedia' 9\n58506 'wordpress' 9\n58507 'worksheet' 9\n58508 'workspace' 9\n58509 'xffffffff' 9\n58510 'yclerView' 9\n58511 'érations' 9\n58512 'éricaine' 9\n58513 'การ' 9\n58514 'ที่' 9\n58515 '├──' 9\n58516 '██║' 9\n58517 '██╔' 9\n58518 '██╗' 9\n58519 '███' 9\n58520 'あった' 9\n58521 'ありま' 9\n58522 'いです' 9\n58523 'いまし' 9\n58524 'います' 9\n58525 'うこと' 9\n58526 'かった' 9\n58527 'があり' 9\n58528 'がある' 9\n58529 'ができ' 9\n58530 'きます' 9\n58531 'くださ' 9\n58532 'ことが' 9\n58533 'ことで' 9\n58534 'された' 9\n58535 'されて' 9\n58536 'される' 9\n58537 'してい' 9\n58538 'します' 9\n58539 'しょう' 9\n58540 'するこ' 9\n58541 'たこと' 9\n58542 'だった' 9\n58543 'ってい' 9\n58544 'ついて' 9\n58545 'ていた' 9\n58546 'ていま' 9\n58547 'ている' 9\n58548 'ており' 9\n58549 'てしま' 9\n58550 'であっ' 9\n58551 'であり' 9\n58552 'である' 9\n58553 'できる' 9\n58554 'でしょ' 9\n58555 'ですが' 9\n58556 'ではな' 9\n58557 'という' 9\n58558 'として' 9\n58559 'となっ' 9\n58560 'となる' 9\n58561 'なった' 9\n58562 'なって' 9\n58563 'なりま' 9\n58564 'につい' 9\n58565 'になっ' 9\n58566 'によっ' 9\n58567 'により' 9\n58568 'による' 9\n58569 'のです' 9\n58570 'のよう' 9\n58571 'ました' 9\n58572 'ません' 9\n58573 'ような' 9\n58574 'ように' 9\n58575 'よって' 9\n58576 'ります' 9\n58577 'ること' 9\n58578 'るので' 9\n58579 'るよう' 9\n58580 'れてい' 9\n58581 'アメリ' 9\n58582 'ション' 9\n58583 'スター' 9\n58584 'テレビ' 9\n58585 'メリカ' 9\n58586 '개인정' 9\n58587 '것으로' 9\n58588 '것이다' 9\n58589 '것입니' 9\n58590 '경우에' 9\n58591 '그러나' 9\n58592 '그리고' 9\n58593 '대학교' 9\n58594 '대한민' 9\n58595 '되었다' 9\n58596 '됩니다' 9\n58597 '두리코' 9\n58598 '드라마' 9\n58599 '등학교' 9\n58600 '때문에' 9\n58601 '로마테' 9\n58602 '로미로' 9\n58603 '로부터' 9\n58604 '리코스' 9\n58605 '마사지' 9\n58606 '마테라' 9\n58607 '미로미' 9\n58608 '민국의' 9\n58609 '사이트' 9\n58610 '서비스' 9\n58611 '스웨디' 9\n58612 '습니다' 9\n58613 '아로마' 9\n58614 '았습니' 9\n58615 '었습니' 9\n58616 '었으며' 9\n58617 '에서는' 9\n58618 '웨디시' 9\n58619 '이라고' 9\n58620 '이라는' 9\n58621 '이마사' 9\n58622 '이었다' 9\n58623 '이용자' 9\n58624 '인정보' 9\n58625 '입니다' 9\n58626 '있습니' 9\n58627 '있었다' 9\n58628 '있으며' 9\n58629 '장마사' 9\n58630 '적으로' 9\n58631 '정보를' 9\n58632 '좋아요' 9\n58633 '좋은글' 9\n58634 '출장마' 9\n58635 '출장샵' 9\n58636 '코로나' 9\n58637 '타이마' 9\n58638 '테라피' 9\n58639 '프랑스' 9\n58640 '하면서' 9\n58641 '하였다' 9\n58642 '하지만' 9\n58643 '한민국' 9\n58644 '합니다' 9\n58645 '했습니' 9\n58646 '홈케어' 9\n58647 '홈타이' 9\n58648 '���' 9\n58649 '\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t' 10\n58650 '\\n\\n\\n       ' 10\n58651 '\\n\\n        ' 10\n58652 '\\n         ' 10\n58653 '\\r\\n        ' 10\n58654 ' \\n        ' 10\n58655 '          ' 10\n58656 ' ---------' 10\n58657 ' According' 10\n58658 ' Addiction' 10\n58659 ' Administr' 10\n58660 ' Adventure' 10\n58661 ' Agreement' 10\n58662 ' Alexander' 10\n58663 ' Alexandra' 10\n58664 ' Alexandre' 10\n58665 ' Algorithm' 10\n58666 ' Alignment' 10\n58667 ' Alzheimer' 10\n58668 ' Amendment' 10\n58669 ' Americans' 10\n58670 ' Amsterdam' 10\n58671 ' Analytics' 10\n58672 ' Animation' 10\n58673 ' Anonymous' 10\n58674 ' Antarctic' 10\n58675 ' Architect' 10\n58676 ' Argentina' 10\n58677 ' Argentine' 10\n58678 ' Arguments' 10\n58679 ' Aristotle' 10\n58680 ' Arlington' 10\n58681 ' Armstrong' 10\n58682 ' ArrayList' 10\n58683 ' Assistant' 10\n58684 ' Associate' 10\n58685 ' Astronomy' 10\n58686 ' Athletics' 10\n58687 ' Attention' 10\n58688 ' Attribute' 10\n58689 ' Augustine' 10\n58690 ' Australia' 10\n58691 ' Authority' 10\n58692 ' Automatic' 10\n58693 ' Außerdem' 10\n58694 ' Available' 10\n58695 ' Baltimore' 10\n58696 ' Bangalore' 10\n58697 ' Barcelona' 10\n58698 ' Basically' 10\n58699 ' Battalion' 10\n58700 ' Beautiful' 10\n58701 ' Beginning' 10\n58702 ' Benchmark' 10\n58703 ' Bernstein' 10\n58704 ' Bevölker' 10\n58705 ' Billboard' 10\n58706 ' Biography' 10\n58707 ' Bloomberg' 10\n58708 ' Bluetooth' 10\n58709 ' Bootstrap' 10\n58710 ' Boulevard' 10\n58711 ' Brazilian' 10\n58712 ' Breakfast' 10\n58713 ' Broadcast' 10\n58714 ' Brunswick' 10\n58715 ' Bulgarian' 10\n58716 ' CONDITION' 10\n58717 ' CONTRIBUT' 10\n58718 ' COPYRIGHT' 10\n58719 ' Calculate' 10\n58720 ' Cambridge' 10\n58721 ' Canadians' 10\n58722 ' Candidate' 10\n58723 ' Cardinals' 10\n58724 ' Caribbean' 10\n58725 ' Carpenter' 10\n58726 ' Cartesian' 10\n58727 ' Cassandra' 10\n58728 ' Cathedral' 10\n58729 ' Catherine' 10\n58730 ' Catholics' 10\n58731 ' Caucasian' 10\n58732 ' Certainly' 10\n58733 ' Challenge' 10\n58734 ' Champions' 10\n58735 ' Character' 10\n58736 ' Charlotte' 10\n58737 ' Chemistry' 10\n58738 ' Chevrolet' 10\n58739 ' Chocolate' 10\n58740 ' Christian' 10\n58741 ' Christina' 10\n58742 ' Christine' 10\n58743 ' Christmas' 10\n58744 ' Chronicle' 10\n58745 ' Churchill' 10\n58746 ' Classical' 10\n58747 ' Cleveland' 10\n58748 ' Coalition' 10\n58749 ' Cognitive' 10\n58750 ' Collector' 10\n58751 ' Collision' 10\n58752 ' Comisión' 10\n58753 ' Comissão' 10\n58754 ' Commander' 10\n58755 ' Committee' 10\n58756 ' Communist' 10\n58757 ' Community' 10\n58758 ' Companies' 10\n58759 ' Component' 10\n58760 ' Composite' 10\n58761 ' Computing' 10\n58762 ' Condition' 10\n58763 ' Configure' 10\n58764 ' Connected' 10\n58765 ' Constants' 10\n58766 ' Construct' 10\n58767 ' Container' 10\n58768 ' Converter' 10\n58769 ' Copyright' 10\n58770 ' Corporate' 10\n58771 ' Countries' 10\n58772 ' Currently' 10\n58773 ' Customers' 10\n58774 ' DataFrame' 10\n58775 ' Defendant' 10\n58776 ' Democracy' 10\n58777 ' Democrats' 10\n58778 ' Depending' 10\n58779 ' Detection' 10\n58780 ' Detective' 10\n58781 ' Determine' 10\n58782 ' Developer' 10\n58783 ' Dickinson' 10\n58784 ' Different' 10\n58785 ' Dimension' 10\n58786 ' Direction' 10\n58787 ' Directive' 10\n58788 ' Directors' 10\n58789 ' Directory' 10\n58790 ' Dirichlet' 10\n58791 ' Discovery' 10\n58792 ' Disorders' 10\n58793 ' División' 10\n58794 ' Documents' 10\n58795 ' Dominican' 10\n58796 ' Duplicate' 10\n58797 ' Economics' 10\n58798 ' Economist' 10\n58799 ' Edinburgh' 10\n58800 ' Editorial' 10\n58801 ' Education' 10\n58802 ' Effective' 10\n58803 ' Electoral' 10\n58804 ' Elizabeth' 10\n58805 ' Emergency' 10\n58806 ' Employees' 10\n58807 ' Engineers' 10\n58808 ' Enllaços' 10\n58809 ' Equipment' 10\n58810 ' Europeans' 10\n58811 ' EventArgs' 10\n58812 ' Everybody' 10\n58813 ' Evolution' 10\n58814 ' Excellent' 10\n58815 ' Exception' 10\n58816 ' Execution' 10\n58817 ' Executive' 10\n58818 ' Extension' 10\n58819 ' Ferdinand' 10\n58820 ' Fernandez' 10\n58821 ' Financial' 10\n58822 ' Following' 10\n58823 ' Formation' 10\n58824 ' Források' 10\n58825 ' Framework' 10\n58826 ' Francesco' 10\n58827 ' Francisco' 10\n58828 ' Frankfurt' 10\n58829 ' Français' 10\n58830 ' François' 10\n58831 ' Frederick' 10\n58832 ' Frequency' 10\n58833 ' Friedrich' 10\n58834 ' Fukushima' 10\n58835 ' Functions' 10\n58836 ' Gallagher' 10\n58837 ' Generally' 10\n58838 ' Generated' 10\n58839 ' Generator' 10\n58840 ' Geography' 10\n58841 ' Geschäft' 10\n58842 ' Gibraltar' 10\n58843 ' González' 10\n58844 ' Greenland' 10\n58845 ' Greenwich' 10\n58846 ' Guatemala' 10\n58847 ' Halloween' 10\n58848 ' Hampshire' 10\n58849 ' Henderson' 10\n58850 ' Hernandez' 10\n58851 ' Hezbollah' 10\n58852 ' Hibernate' 10\n58853 ' Histogram' 10\n58854 ' Hollywood' 10\n58855 ' Holocaust' 10\n58856 ' Hopefully' 10\n58857 ' Hungarian' 10\n58858 ' Hurricane' 10\n58859 ' INCLUDING' 10\n58860 ' Implement' 10\n58861 ' Important' 10\n58862 ' Increased' 10\n58863 ' Indonesia' 10\n58864 ' Initially' 10\n58865 ' Inspector' 10\n58866 ' Instagram' 10\n58867 ' Institute' 10\n58868 ' Instituto' 10\n58869 ' Insurance' 10\n58870 ' Integrity' 10\n58871 ' Interface' 10\n58872 ' Interpret' 10\n58873 ' Interview' 10\n58874 ' Inventory' 10\n58875 ' Jefferson' 10\n58876 ' Jerusalem' 10\n58877 ' Judiciary' 10\n58878 ' Katherine' 10\n58879 ' Knowledge' 10\n58880 ' Künstler' 10\n58881 ' LIABILITY' 10\n58882 ' Lafayette' 10\n58883 ' Lancaster' 10\n58884 ' Languages' 10\n58885 ' Leicester' 10\n58886 ' Libraries' 10\n58887 ' Lightning' 10\n58888 ' Lithuania' 10\n58889 ' Liverpool' 10\n58890 ' Louisiana' 10\n58891 ' Macedonia' 10\n58892 ' Malaysian' 10\n58893 ' Manhattan' 10\n58894 ' Marketing' 10\n58895 ' Martínez' 10\n58896 ' Materials' 10\n58897 ' McConnell' 10\n58898 ' Meanwhile' 10\n58899 ' Melbourne' 10\n58900 ' Messenger' 10\n58901 ' Methodist' 10\n58902 ' Microsoft' 10\n58903 ' Migration' 10\n58904 ' Milwaukee' 10\n58905 ' Ministers' 10\n58906 ' Minnesota' 10\n58907 ' Molecular' 10\n58908 ' Montréal' 10\n58909 ' Mountains' 10\n58910 ' Municipal' 10\n58911 ' Nashville' 10\n58912 ' Naturally' 10\n58913 ' Nederland' 10\n58914 ' Netanyahu' 10\n58915 ' Newcastle' 10\n58916 ' Nicaragua' 10\n58917 ' Nietzsche' 10\n58918 ' Northeast' 10\n58919 ' Northwest' 10\n58920 ' Norwegian' 10\n58921 ' Nutrition' 10\n58922 ' OTHERWISE' 10\n58923 ' Obamacare' 10\n58924 ' Objective' 10\n58925 ' Obviously' 10\n58926 ' Operating' 10\n58927 ' Operation' 10\n58928 ' Orchestra' 10\n58929 ' Otherwise' 10\n58930 ' Pakistani' 10\n58931 ' Palestine' 10\n58932 ' Palmarès' 10\n58933 ' Paragraph' 10\n58934 ' Parameter' 10\n58935 ' Parkinson' 10\n58936 ' Parlament' 10\n58937 ' Partition' 10\n58938 ' Patterson' 10\n58939 ' Peninsula' 10\n58940 ' Permanent' 10\n58941 ' Petroleum' 10\n58942 ' Philosoph' 10\n58943 ' Photoshop' 10\n58944 ' Pinterest' 10\n58945 ' Plaintiff' 10\n58946 ' Poincaré' 10\n58947 ' Political' 10\n58948 ' Potential' 10\n58949 ' Precision' 10\n58950 ' Première' 10\n58951 ' President' 10\n58952 ' Princeton' 10\n58953 ' Principal' 10\n58954 ' Procedure' 10\n58955 ' Processor' 10\n58956 ' Professor' 10\n58957 ' Programme' 10\n58958 ' Promotion' 10\n58959 ' Published' 10\n58960 ' Publisher' 10\n58961 ' Pyongyang' 10\n58962 ' Qualität' 10\n58963 ' Questions' 10\n58964 ' Recommend' 10\n58965 ' Recording' 10\n58966 ' Rectangle' 10\n58967 ' Reduction' 10\n58968 ' Reference' 10\n58969 ' Regarding' 10\n58970 ' Relations' 10\n58971 ' Religious' 10\n58972 ' Reporting' 10\n58973 ' Represent' 10\n58974 ' Resources' 10\n58975 ' ResultSet' 10\n58976 ' Retrieved' 10\n58977 ' Robertson' 10\n58978 ' Rochester' 10\n58979 ' Rodriguez' 10\n58980 ' Roosevelt' 10\n58981 ' Satellite' 10\n58982 ' Schneider' 10\n58983 ' Scripture' 10\n58984 ' Sebastian' 10\n58985 ' Secondary' 10\n58986 ' Secretary' 10\n58987 ' Selection' 10\n58988 ' September' 10\n58989 ' Seriously' 10\n58990 ' Sheffield' 10\n58991 ' Signature' 10\n58992 ' Similarly' 10\n58993 ' Singapore' 10\n58994 ' Situation' 10\n58995 ' Socialist' 10\n58996 ' Société' 10\n58997 ' Solutions' 10\n58998 ' Something' 10\n58999 ' Sometimes' 10\n59000 ' Southeast' 10\n59001 ' Southwest' 10\n59002 ' Standards' 10\n59003 ' Starbucks' 10\n59004 ' Statement' 10\n59005 ' Stephanie' 10\n59006 ' Stevenson' 10\n59007 ' Stockholm' 10\n59008 ' Strategic' 10\n59009 ' Streaming' 10\n59010 ' Structure' 10\n59011 ' Stuttgart' 10\n59012 ' Subscribe' 10\n59013 ' Supported' 10\n59014 ' Symposium' 10\n59015 ' Technical' 10\n59016 ' Telegraph' 10\n59017 ' Telescope' 10\n59018 ' Temporary' 10\n59019 ' Tennessee' 10\n59020 ' Territory' 10\n59021 ' Testament' 10\n59022 ' Therefore' 10\n59023 ' Threshold' 10\n59024 ' Timestamp' 10\n59025 ' Tottenham' 10\n59026 ' Tradition' 10\n59027 ' Transform' 10\n59028 ' Translate' 10\n59029 ' Transport' 10\n59030 ' Treatment' 10\n59031 ' TypeError' 10\n59032 ' Typically' 10\n59033 ' Ukrainian' 10\n59034 ' Undefined' 10\n59035 ' Universal' 10\n59036 ' Valentine' 10\n59037 ' Vancouver' 10\n59038 ' Variables' 10\n59039 ' Venezuela' 10\n59040 ' Victorian' 10\n59041 ' Wednesday' 10\n59042 ' Weinstein' 10\n59043 ' WikiLeaks' 10\n59044 ' Wikimedia' 10\n59045 ' Wikipedia' 10\n59046 ' Wisconsin' 10\n59047 ' Worcester' 10\n59048 ' WordPress' 10\n59049 ' Wrestling' 10\n59050 ' Yorkshire' 10\n59051 ' abandoned' 10\n59052 ' abdominal' 10\n59053 ' abilities' 10\n59054 ' abolished' 10\n59055 ' abolition' 10\n59056 ' abortions' 10\n59057 ' absorbing' 10\n59058 ' abundance' 10\n59059 ' academics' 10\n59060 ' accepting' 10\n59061 ' accessing' 10\n59062 ' accession' 10\n59063 ' accessory' 10\n59064 ' accidents' 10\n59065 ' acclaimed' 10\n59066 ' accompany' 10\n59067 ' according' 10\n59068 ' accounted' 10\n59069 ' achieving' 10\n59070 ' acknowled' 10\n59071 ' acquiring' 10\n59072 ' activated' 10\n59073 ' activates' 10\n59074 ' activists' 10\n59075 ' actresses' 10\n59076 ' addiction' 10\n59077 ' addictive' 10\n59078 ' additions' 10\n59079 ' additives' 10\n59080 ' addressed' 10\n59081 ' addresses' 10\n59082 ' adherence' 10\n59083 ' adjacency' 10\n59084 ' adjective' 10\n59085 ' adjoining' 10\n59086 ' adjusting' 10\n59087 ' administr' 10\n59088 ' admirable' 10\n59089 ' admission' 10\n59090 ' admitting' 10\n59091 ' adulthood' 10\n59092 ' advancing' 10\n59093 ' advantage' 10\n59094 ' adventure' 10\n59095 ' adversary' 10\n59096 ' adversely' 10\n59097 ' advertise' 10\n59098 ' advocated' 10\n59099 ' advocates' 10\n59100 ' aesthetic' 10\n59101 ' affecting' 10\n59102 ' affection' 10\n59103 ' affidavit' 10\n59104 ' affiliate' 10\n59105 ' aftermath' 10\n59106 ' afternoon' 10\n59107 ' afterward' 10\n59108 ' aggregate' 10\n59109 ' agitation' 10\n59110 ' agreement' 10\n59111 ' alcoholic' 10\n59112 ' algebraic' 10\n59113 ' algorithm' 10\n59114 ' alignment' 10\n59115 ' allegedly' 10\n59116 ' allergies' 10\n59117 ' alleviate' 10\n59118 ' allocated' 10\n59119 ' allowance' 10\n59120 ' alongside' 10\n59121 ' alternate' 10\n59122 ' aluminium' 10\n59123 ' ambiguity' 10\n59124 ' ambiguous' 10\n59125 ' ambitions' 10\n59126 ' ambitious' 10\n59127 ' ambulance' 10\n59128 ' amendment' 10\n59129 ' amenities' 10\n59130 ' amplified' 10\n59131 ' amplifier' 10\n59132 ' amplitude' 10\n59133 ' amusement' 10\n59134 ' analogous' 10\n59135 ' analytics' 10\n59136 ' analyzing' 10\n59137 ' ancestors' 10\n59138 ' ancestral' 10\n59139 ' animation' 10\n59140 ' annotated' 10\n59141 ' announced' 10\n59142 ' announces' 10\n59143 ' annoyance' 10\n59144 ' anomalies' 10\n59145 ' anonymity' 10\n59146 ' anonymous' 10\n59147 ' answering' 10\n59148 ' apartheid' 10\n59149 ' apartment' 10\n59150 ' apologies' 10\n59151 ' apologize' 10\n59152 ' apoptosis' 10\n59153 ' apparatus' 10\n59154 ' appealing' 10\n59155 ' appearing' 10\n59156 ' appellant' 10\n59157 ' appellate' 10\n59158 ' appliance' 10\n59159 ' applicant' 10\n59160 ' appointed' 10\n59161 ' appraisal' 10\n59162 ' approving' 10\n59163 ' arbitrary' 10\n59164 ' architect' 10\n59165 ' arguments' 10\n59166 ' arranging' 10\n59167 ' arthritis' 10\n59168 ' artifacts' 10\n59169 ' artillery' 10\n59170 ' artículo' 10\n59171 ' ascending' 10\n59172 ' ascertain' 10\n59173 ' assaulted' 10\n59174 ' assembled' 10\n59175 ' asserting' 10\n59176 ' assertion' 10\n59177 ' assessing' 10\n59178 ' assigning' 10\n59179 ' assistant' 10\n59180 ' assisting' 10\n59181 ' associate' 10\n59182 ' assurance' 10\n59183 ' astronaut' 10\n59184 ' astronomy' 10\n59185 ' atención' 10\n59186 ' attaching' 10\n59187 ' attackers' 10\n59188 ' attacking' 10\n59189 ' attempted' 10\n59190 ' attendant' 10\n59191 ' attendees' 10\n59192 ' attending' 10\n59193 ' attention' 10\n59194 ' attitudes' 10\n59195 ' attorneys' 10\n59196 ' attracted' 10\n59197 ' attribute' 10\n59198 ' audiences' 10\n59199 ' augmented' 10\n59200 ' authentic' 10\n59201 ' authority' 10\n59202 ' authorize' 10\n59203 ' automated' 10\n59204 ' automatic' 10\n59205 ' auxiliary' 10\n59206 ' available' 10\n59207 ' averaging' 10\n59208 ' avoidance' 10\n59209 ' awareness' 10\n59210 ' backwards' 10\n59211 ' bacterial' 10\n59212 ' balancing' 10\n59213 ' ballistic' 10\n59214 ' bandwidth' 10\n59215 ' basically' 10\n59216 ' bathrooms' 10\n59217 ' battalion' 10\n59218 ' batteries' 10\n59219 ' beautiful' 10\n59220 ' beginning' 10\n59221 ' behaviors' 10\n59222 ' behaviour' 10\n59223 ' believers' 10\n59224 ' believing' 10\n59225 ' belonging' 10\n59226 ' benchmark' 10\n59227 ' benefited' 10\n59228 ' beverages' 10\n59229 ' bilateral' 10\n59230 ' biography' 10\n59231 ' blessings' 10\n59232 ' blindness' 10\n59233 ' blueprint' 10\n59234 ' bootstrap' 10\n59235 ' borrowing' 10\n59236 ' bourgeois' 10\n59237 ' boyfriend' 10\n59238 ' branching' 10\n59239 ' breakdown' 10\n59240 ' breakfast' 10\n59241 ' breathing' 10\n59242 ' brightest' 10\n59243 ' brilliant' 10\n59244 ' broadband' 10\n59245 ' broadcast' 10\n59246 ' brutality' 10\n59247 ' buildings' 10\n59248 ' butterfly' 10\n59249 ' bénéfic' 10\n59250 ' búsqueda' 10\n59251 ' calculate' 10\n59252 ' callbacks' 10\n59253 ' campaigns' 10\n59254 ' cancelled' 10\n59255 ' candidate' 10\n59256 ' canonical' 10\n59257 ' capacitor' 10\n59258 ' capturing' 10\n59259 ' carbonate' 10\n59260 ' carcinoma' 10\n59261 ' cardboard' 10\n59262 ' carefully' 10\n59263 ' carrière' 10\n59264 ' cartesian' 10\n59265 ' cartilage' 10\n59266 ' cartridge' 10\n59267 ' catalogue' 10\n59268 ' catalytic' 10\n59269 ' categoria' 10\n59270 ' celebrate' 10\n59271 ' celebrity' 10\n59272 ' celestial' 10\n59273 ' centrally' 10\n59274 ' centrifug' 10\n59275 ' centroids' 10\n59276 ' centuries' 10\n59277 ' certainly' 10\n59278 ' certainty' 10\n59279 ' certified' 10\n59280 ' cessation' 10\n59281 ' challenge' 10\n59282 ' champagne' 10\n59283 ' champions' 10\n59284 ' character' 10\n59285 ' charities' 10\n59286 ' checklist' 10\n59287 ' chemicals' 10\n59288 ' chemistry' 10\n59289 ' childhood' 10\n59290 ' chocolate' 10\n59291 ' cigarette' 10\n59292 ' citations' 10\n59293 ' civilians' 10\n59294 ' clarified' 10\n59295 ' className' 10\n59296 ' classical' 10\n59297 ' classroom' 10\n59298 ' cleansing' 10\n59299 ' clearance' 10\n59300 ' clipboard' 10\n59301 ' clockwise' 10\n59302 ' clustered' 10\n59303 ' coalition' 10\n59304 ' cognition' 10\n59305 ' cognitive' 10\n59306 ' coherence' 10\n59307 ' collapsed' 10\n59308 ' colleague' 10\n59309 ' collected' 10\n59310 ' collector' 10\n59311 ' collision' 10\n59312 ' columnist' 10\n59313 ' combining' 10\n59314 ' comercial' 10\n59315 ' commanded' 10\n59316 ' commander' 10\n59317 ' commenced' 10\n59318 ' commented' 10\n59319 ' committed' 10\n59320 ' committee' 10\n59321 ' commodity' 10\n59322 ' communism' 10\n59323 ' communist' 10\n59324 ' community' 10\n59325 ' commuting' 10\n59326 ' companies' 10\n59327 ' companion' 10\n59328 ' comparing' 10\n59329 ' compelled' 10\n59330 ' competent' 10\n59331 ' competing' 10\n59332 ' compiling' 10\n59333 ' complains' 10\n59334 ' complaint' 10\n59335 ' completed' 10\n59336 ' completes' 10\n59337 ' complexes' 10\n59338 ' compliant' 10\n59339 ' component' 10\n59340 ' composing' 10\n59341 ' composite' 10\n59342 ' compounds' 10\n59343 ' comprised' 10\n59344 ' comprises' 10\n59345 ' computers' 10\n59346 ' computing' 10\n59347 ' concealed' 10\n59348 ' conceived' 10\n59349 ' concerned' 10\n59350 ' concluded' 10\n59351 ' concludes' 10\n59352 ' condemned' 10\n59353 ' condensed' 10\n59354 ' condition' 10\n59355 ' conducted' 10\n59356 ' conductor' 10\n59357 ' conexión' 10\n59358 ' conferred' 10\n59359 ' confessed' 10\n59360 ' confident' 10\n59361 ' configure' 10\n59362 ' confirmed' 10\n59363 ' conflicts' 10\n59364 ' confusing' 10\n59365 ' confusion' 10\n59366 ' conjugate' 10\n59367 ' connected' 10\n59368 ' connector' 10\n59369 ' conquered' 10\n59370 ' conscient' 10\n59371 ' conscious' 10\n59372 ' consensus' 10\n59373 ' conserved' 10\n59374 ' considers' 10\n59375 ' consisted' 10\n59376 ' constants' 10\n59377 ' constrain' 10\n59378 ' construct' 10\n59379 ' construed' 10\n59380 ' consulted' 10\n59381 ' consulté' 10\n59382 ' consumers' 10\n59383 ' consuming' 10\n59384 ' contacted' 10\n59385 ' contained' 10\n59386 ' container' 10\n59387 ' contempor' 10\n59388 ' contender' 10\n59389 ' contested' 10\n59390 ' continent' 10\n59391 ' continual' 10\n59392 ' continued' 10\n59393 ' continues' 10\n59394 ' continuum' 10\n59395 ' contracts' 10\n59396 ' contrasts' 10\n59397 ' contrôle' 10\n59398 ' converges' 10\n59399 ' converted' 10\n59400 ' converter' 10\n59401 ' convicted' 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employers' 10\n59620 ' employing' 10\n59621 ' empowered' 10\n59622 ' enclosing' 10\n59623 ' enclosure' 10\n59624 ' encompass' 10\n59625 ' encontrar' 10\n59626 ' encounter' 10\n59627 ' encourage' 10\n59628 ' encrypted' 10\n59629 ' encuentra' 10\n59630 ' endpoints' 10\n59631 ' endurance' 10\n59632 ' energetic' 10\n59633 ' enforcing' 10\n59634 ' engineers' 10\n59635 ' enhancing' 10\n59636 ' enjoyable' 10\n59637 ' enjoyment' 10\n59638 ' entertain' 10\n59639 ' enumerate' 10\n59640 ' equations' 10\n59641 ' equipment' 10\n59642 ' equitable' 10\n59643 ' erroneous' 10\n59644 ' essential' 10\n59645 ' establish' 10\n59646 ' estimated' 10\n59647 ' estimates' 10\n59648 ' estimator' 10\n59649 ' estratég' 10\n59650 ' ethnicity' 10\n59651 ' evacuated' 10\n59652 ' evaluated' 10\n59653 ' evaluates' 10\n59654 ' everybody' 10\n59655 ' evidenced' 10\n59656 ' evidently' 10\n59657 ' evolution' 10\n59658 ' examining' 10\n59659 ' exceeding' 10\n59660 ' excellent' 10\n59661 ' exception' 10\n59662 ' excessive' 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10\n59837 ' incentive' 10\n59838 ' inception' 10\n59839 ' incidence' 10\n59840 ' incidents' 10\n59841 ' including' 10\n59842 ' inclusion' 10\n59843 ' inclusive' 10\n59844 ' inconsist' 10\n59845 ' incorrect' 10\n59846 ' increased' 10\n59847 ' increases' 10\n59848 ' increment' 10\n59849 ' incubated' 10\n59850 ' incumbent' 10\n59851 ' indicated' 10\n59852 ' indicates' 10\n59853 ' indicator' 10\n59854 ' induction' 10\n59855 ' infection' 10\n59856 ' inference' 10\n59857 ' inflation' 10\n59858 ' inflicted' 10\n59859 ' influence' 10\n59860 ' influenza' 10\n59861 ' informant' 10\n59862 ' informing' 10\n59863 ' ingestion' 10\n59864 ' inhabited' 10\n59865 ' inherited' 10\n59866 ' inhibited' 10\n59867 ' inhibitor' 10\n59868 ' initially' 10\n59869 ' initiated' 10\n59870 ' initiator' 10\n59871 ' injecting' 10\n59872 ' injection' 10\n59873 ' injustice' 10\n59874 ' innocence' 10\n59875 ' inquiries' 10\n59876 ' inserting' 10\n59877 ' insertion' 10\n59878 ' insisting' 10\n59879 ' inspected' 10\n59880 ' inspector' 10\n59881 ' inspiring' 10\n59882 ' installed' 10\n59883 ' installer' 10\n59884 ' instances' 10\n59885 ' instantly' 10\n59886 ' instincts' 10\n59887 ' institute' 10\n59888 ' insurance' 10\n59889 ' integrals' 10\n59890 ' integrate' 10\n59891 ' integrity' 10\n59892 ' intellect' 10\n59893 ' intensely' 10\n59894 ' intensity' 10\n59895 ' intensive' 10\n59896 ' intention' 10\n59897 ' interacts' 10\n59898 ' intercept' 10\n59899 ' interests' 10\n59900 ' interface' 10\n59901 ' interfere' 10\n59902 ' intermedi' 10\n59903 ' intermitt' 10\n59904 ' interpret' 10\n59905 ' interrupt' 10\n59906 ' intersect' 10\n59907 ' intervals' 10\n59908 ' intervene' 10\n59909 ' interview' 10\n59910 ' intestine' 10\n59911 ' intitulé' 10\n59912 ' intricate' 10\n59913 ' intrigued' 10\n59914 ' intrinsic' 10\n59915 ' introduce' 10\n59916 ' intrusion' 10\n59917 ' intuition' 10\n59918 ' intuitive' 10\n59919 ' intéress' 10\n59920 ' invariant' 10\n59921 ' invention' 10\n59922 ' inventory' 10\n59923 ' inversion' 10\n59924 ' investing' 10\n59925 ' investors' 10\n59926 ' invisible' 10\n59927 ' involving' 10\n59928 ' invånare' 10\n59929 ' irregular' 10\n59930 ' isolation' 10\n59931 ' iterating' 10\n59932 ' iteration' 10\n59933 ' iterative' 10\n59934 ' itertools' 10\n59935 ' judgement' 10\n59936 ' judgments' 10\n59937 ' judiciary' 10\n59938 ' justified' 10\n59939 ' keyboards' 10\n59940 ' keypoints' 10\n59941 ' kidnapped' 10\n59942 ' knowingly' 10\n59943 ' knowledge' 10\n59944 ' landmarks' 10\n59945 ' landscape' 10\n59946 ' languages' 10\n59947 ' launching' 10\n59948 ' lawmakers' 10\n59949 ' legendary' 10\n59950 ' liability' 10\n59951 ' liberties' 10\n59952 ' libraries' 10\n59953 ' licensing' 10\n59954 ' lifestyle' 10\n59955 ' lightning' 10\n59956 ' limestone' 10\n59957 ' linewidth' 10\n59958 ' lingering' 10\n59959 ' liquidity' 10\n59960 ' listeners' 10\n59961 ' listening' 10\n59962 ' literally' 10\n59963 ' livestock' 10\n59964 ' localhost' 10\n59965 ' localized' 10\n59966 ' locations' 10\n59967 ' logically' 10\n59968 ' logistics' 10\n59969 ' longevity' 10\n59970 ' longitude' 10\n59971 ' lowercase' 10\n59972 ' lucrative' 10\n59973 ' luxurious' 10\n59974 ' machinery' 10\n59975 ' magazines' 10\n59976 ' magnesium' 10\n59977 ' magnitude' 10\n59978 ' maintains' 10\n59979 ' malicious' 10\n59980 ' malignant' 10\n59981 ' mandatory' 10\n59982 ' manifesto' 10\n59983 ' manifests' 10\n59984 ' marijuana' 10\n59985 ' marketing' 10\n59986 ' marriages' 10\n59987 ' masculine' 10\n59988 ' massively' 10\n59989 ' materials' 10\n59990 ' maxlength' 10\n59991 ' meanwhile' 10\n59992 ' measuring' 10\n59993 ' mechanics' 10\n59994 ' mechanism' 10\n59995 ' mediation' 10\n59996 ' medically' 10\n59997 ' medicinal' 10\n59998 ' medicines' 10\n59999 ' membranes' 10\n60000 ' memorable' 10\n60001 ' menstrual' 10\n60002 ' mentality' 10\n60003 ' mentioned' 10\n60004 ' merchants' 10\n60005 ' messaging' 10\n60006 ' messenger' 10\n60007 ' metabolic' 10\n60008 ' microbial' 10\n60009 ' microwave' 10\n60010 ' mieszkań' 10\n60011 ' migrating' 10\n60012 ' migration' 10\n60013 ' milestone' 10\n60014 ' militants' 10\n60015 ' miniature' 10\n60016 ' minimized' 10\n60017 ' ministers' 10\n60018 ' miserable' 10\n60019 ' mitochond' 10\n60020 ' modelling' 10\n60021 ' moderator' 10\n60022 ' modifiers' 10\n60023 ' modifying' 10\n60024 ' molecular' 10\n60025 ' molecules' 10\n60026 ' monastery' 10\n60027 ' monitored' 10\n60028 ' monuments' 10\n60029 ' mortality' 10\n60030 ' mortgages' 10\n60031 ' motivated' 10\n60032 ' mountains' 10\n60033 ' movements' 10\n60034 ' multipart' 10\n60035 ' multiples' 10\n60036 ' multiplic' 10\n60037 ' multitude' 10\n60038 ' municipal' 10\n60039 ' mushrooms' 10\n60040 ' musicians' 10\n60041 ' mutations' 10\n60042 ' mysteries' 10\n60043 ' mythology' 10\n60044 ' namespace' 10\n60045 ' narrative' 10\n60046 ' narrowing' 10\n60047 ' nationals' 10\n60048 ' naturally' 10\n60049 ' navigator' 10\n60050 ' necessary' 10\n60051 ' necessity' 10\n60052 ' neglected' 10\n60053 ' negligent' 10\n60054 ' negotiate' 10\n60055 ' neighbors' 10\n60056 ' neighbour' 10\n60057 ' newspaper' 10\n60058 ' nightmare' 10\n60059 ' nominated' 10\n60060 ' nonlinear' 10\n60061 ' nonprofit' 10\n60062 ' normalize' 10\n60063 ' northeast' 10\n60064 ' northwest' 10\n60065 ' nostalgia' 10\n60066 ' notamment' 10\n60067 ' notorious' 10\n60068 ' nouvelles' 10\n60069 ' numerator' 10\n60070 ' numerical' 10\n60071 ' nutrients' 10\n60072 ' nutrition' 10\n60073 ' nächsten' 10\n60074 ' obedience' 10\n60075 ' objection' 10\n60076 ' objective' 10\n60077 ' obligated' 10\n60078 ' observers' 10\n60079 ' observing' 10\n60080 ' obsession' 10\n60081 ' obstacles' 10\n60082 ' obtaining' 10\n60083 ' obviously' 10\n60084 ' occasions' 10\n60085 ' occupancy' 10\n60086 ' occupants' 10\n60087 ' occupying' 10\n60088 ' occurring' 10\n60089 ' offenders' 10\n60090 ' offensive' 10\n60091 ' offerings' 10\n60092 ' officials' 10\n60093 ' offseason' 10\n60094 ' offspring' 10\n60095 ' operating' 10\n60096 ' operation' 10\n60097 ' operative' 10\n60098 ' operators' 10\n60099 ' opponents' 10\n60100 ' oppressed' 10\n60101 ' optimized' 10\n60102 ' optimizer' 10\n60103 ' orchestra' 10\n60104 ' ordinance' 10\n60105 ' organised' 10\n60106 ' organisms' 10\n60107 ' organized' 10\n60108 ' organizer' 10\n60109 ' originals' 10\n60110 ' originate' 10\n60111 ' otherwise' 10\n60112 ' ourselves' 10\n60113 ' outbreaks' 10\n60114 ' outskirts' 10\n60115 ' overnight' 10\n60116 ' overrides' 10\n60117 ' oversight' 10\n60118 ' overwrite' 10\n60119 ' ownership' 10\n60120 ' oxidation' 10\n60121 ' oxidative' 10\n60122 ' packaging' 10\n60123 ' painfully' 10\n60124 ' paintings' 10\n60125 ' paperwork' 10\n60126 ' paragraph' 10\n60127 ' parallels' 10\n60128 ' paralysis' 10\n60129 ' parameter' 10\n60130 ' paramount' 10\n60131 ' parasites' 10\n60132 ' parchment' 10\n60133 ' parenting' 10\n60134 ' parlament' 10\n60135 ' partially' 10\n60136 ' particles' 10\n60137 ' partition' 10\n60138 ' partnered' 10\n60139 ' passenger' 10\n60140 ' passwords' 10\n60141 ' pathogens' 10\n60142 ' pathology' 10\n60143 ' paździer' 10\n60144 ' pediatric' 10\n60145 ' película' 10\n60146 ' penalties' 10\n60147 ' penetrate' 10\n60148 ' peninsula' 10\n60149 ' perceived' 10\n60150 ' perennial' 10\n60151 ' perfectly' 10\n60152 ' performed' 10\n60153 ' performer' 10\n60154 ' perimeter' 10\n60155 ' permanent' 10\n60156 ' permitted' 10\n60157 ' perpetual' 10\n60158 ' persisted' 10\n60159 ' personnel' 10\n60160 ' personnes' 10\n60161 ' persuaded' 10\n60162 ' pertinent' 10\n60163 ' pervasive' 10\n60164 ' pesticide' 10\n60165 ' petitions' 10\n60166 ' petroleum' 10\n60167 ' phenomena' 10\n60168 ' phenotype' 10\n60169 ' philosoph' 10\n60170 ' phosphate' 10\n60171 ' phosphory' 10\n60172 ' physician' 10\n60173 ' physicist' 10\n60174 ' pipelines' 10\n60175 ' placement' 10\n60176 ' plaintext' 10\n60177 ' plaintiff' 10\n60178 ' planetary' 10\n60179 ' platforms' 10\n60180 ' plausible' 10\n60181 ' pleasures' 10\n60182 ' plurality' 10\n60183 ' plusieurs' 10\n60184 ' pneumonia' 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pregnancy' 10\n60229 ' prejudice' 10\n60230 ' premature' 10\n60231 ' premiered' 10\n60232 ' première' 10\n60233 ' preparing' 10\n60234 ' preschool' 10\n60235 ' prescribe' 10\n60236 ' preseason' 10\n60237 ' presented' 10\n60238 ' presenter' 10\n60239 ' presently' 10\n60240 ' preserved' 10\n60241 ' preserves' 10\n60242 ' president' 10\n60243 ' pressures' 10\n60244 ' prevailed' 10\n60245 ' prevalent' 10\n60246 ' prevented' 10\n60247 ' primarily' 10\n60248 ' primitive' 10\n60249 ' principal' 10\n60250 ' principle' 10\n60251 ' prisoners' 10\n60252 ' privately' 10\n60253 ' privilege' 10\n60254 ' proactive' 10\n60255 ' probation' 10\n60256 ' problemas' 10\n60257 ' problème' 10\n60258 ' procedure' 10\n60259 ' proceeded' 10\n60260 ' processed' 10\n60261 ' processes' 10\n60262 ' processor' 10\n60263 ' producers' 10\n60264 ' producing' 10\n60265 ' professor' 10\n60266 ' profiling' 10\n60267 ' prognosis' 10\n60268 ' programme' 10\n60269 ' prohibits' 10\n60270 ' projected' 10\n60271 ' projector' 10\n60272 ' prolonged' 10\n60273 ' prominent' 10\n60274 ' promising' 10\n60275 ' promoters' 10\n60276 ' promoting' 10\n60277 ' promotion' 10\n60278 ' prompting' 10\n60279 ' propagate' 10\n60280 ' proposals' 10\n60281 ' proposing' 10\n60282 ' prospects' 10\n60283 ' protected' 10\n60284 ' protector' 10\n60285 ' protested' 10\n60286 ' protocols' 10\n60287 ' prototype' 10\n60288 ' providers' 10\n60289 ' providing' 10\n60290 ' provinces' 10\n60291 ' provincia' 10\n60292 ' provision' 10\n60293 ' proximity' 10\n60294 ' présence' 10\n60295 ' présente' 10\n60296 ' psychosis' 10\n60297 ' psychotic' 10\n60298 ' publicity' 10\n60299 ' published' 10\n60300 ' publisher' 10\n60301 ' pulmonary' 10\n60302 ' purchased' 10\n60303 ' purchaser' 10\n60304 ' purchases' 10\n60305 ' purported' 10\n60306 ' później' 10\n60307 ' quadratic' 10\n60308 ' qualified' 10\n60309 ' qualifier' 10\n60310 ' qualities' 10\n60311 ' quarterly' 10\n60312 ' questions' 10\n60313 ' quotation' 10\n60314 ' radiation' 10\n60315 ' radically' 10\n60316 ' rationale' 10\n60317 ' reachable' 10\n60318 ' reactions' 10\n60319 ' readiness' 10\n60320 ' realistic' 10\n60321 ' realities' 10\n60322 ' realizing' 10\n60323 ' reasoning' 10\n60324 ' rebellion' 10\n60325 ' recalling' 10\n60326 ' receivers' 10\n60327 ' receiving' 10\n60328 ' reception' 10\n60329 ' receptive' 10\n60330 ' receptors' 10\n60331 ' recession' 10\n60332 ' recherche' 10\n60333 ' recipient' 10\n60334 ' recognise' 10\n60335 ' recognize' 10\n60336 ' recommend' 10\n60337 ' reconcile' 10\n60338 ' recording' 10\n60339 ' recovered' 10\n60340 ' recruited' 10\n60341 ' rectangle' 10\n60342 ' recurrent' 10\n60343 ' recurring' 10\n60344 ' recursion' 10\n60345 ' recursive' 10\n60346 ' recycling' 10\n60347 ' redirects' 10\n60348 ' reduction' 10\n60349 ' redundant' 10\n60350 ' reference' 10\n60351 ' referring' 10\n60352 ' reflected' 10\n60353 ' regarding' 10\n60354 ' registers' 10\n60355 ' registrar' 10\n60356 ' regularly' 10\n60357 ' regulated' 10\n60358 ' regulates' 10\n60359 ' regulator' 10\n60360 ' reimburse' 10\n60361 ' reinforce' 10\n60362 ' rejecting' 10\n60363 ' rejection' 10\n60364 ' relación' 10\n60365 ' relations' 10\n60366 ' relatives' 10\n60367 ' relação' 10\n60368 ' releasing' 10\n60369 ' relegated' 10\n60370 ' relevance' 10\n60371 ' religions' 10\n60372 ' religious' 10\n60373 ' relocated' 10\n60374 ' reluctant' 10\n60375 ' remainder' 10\n60376 ' remaining' 10\n60377 ' remembers' 10\n60378 ' reminding' 10\n60379 ' removable' 10\n60380 ' rencontre' 10\n60381 ' rendering' 10\n60382 ' renewable' 10\n60383 ' repairing' 10\n60384 ' repeating' 10\n60385 ' replacing' 10\n60386 ' replicate' 10\n60387 ' reporters' 10\n60388 ' reporting' 10\n60389 ' represent' 10\n60390 ' reproduce' 10\n60391 ' requested' 10\n60392 ' requiring' 10\n60393 ' requisite' 10\n60394 ' resembled' 10\n60395 ' resembles' 10\n60396 ' reservoir' 10\n60397 ' residence' 10\n60398 ' residency' 10\n60399 ' residents' 10\n60400 ' residuals' 10\n60401 ' resilient' 10\n60402 ' resistant' 10\n60403 ' resisting' 10\n60404 ' resolving' 10\n60405 ' resonance' 10\n60406 ' resources' 10\n60407 ' respected' 10\n60408 ' responded' 10\n60409 ' responder' 10\n60410 ' responses' 10\n60411 ' restoring' 10\n60412 ' restraint' 10\n60413 ' resultado' 10\n60414 ' resultant' 10\n60415 ' resulting' 10\n60416 ' retailers' 10\n60417 ' retaining' 10\n60418 ' retention' 10\n60419 ' retreated' 10\n60420 ' retrieval' 10\n60421 ' retrieved' 10\n60422 ' returning' 10\n60423 ' revealing' 10\n60424 ' reversing' 10\n60425 ' reviewers' 10\n60426 ' reviewing' 10\n60427 ' revisions' 10\n60428 ' rewarding' 10\n60429 ' rewritten' 10\n60430 ' righteous' 10\n60431 ' rotations' 10\n60432 ' routinely' 10\n60433 ' réaliser' 10\n60434 ' réalisé' 10\n60435 ' réalité' 10\n60436 ' répondre' 10\n60437 ' również' 10\n60438 ' sacrifice' 10\n60439 ' safeguard' 10\n60440 ' salvation' 10\n60441 ' sanctions' 10\n60442 ' sanctuary' 10\n60443 ' satellite' 10\n60444 ' satisfied' 10\n60445 ' satisfies' 10\n60446 ' saturated' 10\n60447 ' scattered' 10\n60448 ' scenarios' 10\n60449 ' scheduled' 10\n60450 ' scheduler' 10\n60451 ' schedules' 10\n60452 ' schematic' 10\n60453 ' scholarly' 10\n60454 ' schooling' 10\n60455 ' scientist' 10\n60456 ' sclerosis' 10\n60457 ' scrambled' 10\n60458 ' scratched' 10\n60459 ' screaming' 10\n60460 ' screening' 10\n60461 ' scrolling' 10\n60462 ' sculpture' 10\n60463 ' searching' 10\n60464 ' secondary' 10\n60465 ' secretary' 10\n60466 ' secretion' 10\n60467 ' seemingly' 10\n60468 ' segmented' 10\n60469 ' selecting' 10\n60470 ' selection' 10\n60471 ' selective' 10\n60472 ' semantics' 10\n60473 ' sensation' 10\n60474 ' sensitive' 10\n60475 ' sentenced' 10\n60476 ' sentences' 10\n60477 ' sentiment' 10\n60478 ' separated' 10\n60479 ' separates' 10\n60480 ' separator' 10\n60481 ' september' 10\n60482 ' septembre' 10\n60483 ' sequences' 10\n60484 ' serialize' 10\n60485 ' seriously' 10\n60486 ' serotonin' 10\n60487 ' serviços' 10\n60488 ' seulement' 10\n60489 ' seventeen' 10\n60490 ' sexuality' 10\n60491 ' shattered' 10\n60492 ' shielding' 10\n60493 ' shipments' 10\n60494 ' shootings' 10\n60495 ' shortages' 10\n60496 ' shortcuts' 10\n60497 ' shortened' 10\n60498 ' shorthand' 10\n60499 ' shoulders' 10\n60500 ' shrinking' 10\n60501 ' signaling' 10\n60502 ' signature' 10\n60503 ' significa' 10\n60504 ' siguiente' 10\n60505 ' similarly' 10\n60506 ' simulated' 10\n60507 ' simulator' 10\n60508 ' simultane' 10\n60509 ' sincerely' 10\n60510 ' singleton' 10\n60511 ' situation' 10\n60512 ' skeptical' 10\n60513 ' slaughter' 10\n60514 ' slightest' 10\n60515 ' smoothing' 10\n60516 ' snapshots' 10\n60517 ' socialism' 10\n60518 ' socialist' 10\n60519 ' societies' 10\n60520 ' société' 10\n60521 ' solutions' 10\n60522 ' something' 10\n60523 ' sometimes' 10\n60524 ' somewhere' 10\n60525 ' sophistic' 10\n60526 ' sophomore' 10\n60527 ' southeast' 10\n60528 ' southwest' 10\n60529 ' sovereign' 10\n60530 ' sparkling' 10\n60531 ' specially' 10\n60532 ' specialty' 10\n60533 ' specifics' 10\n60534 ' specified' 10\n60535 ' specifies' 10\n60536 ' specimens' 10\n60537 ' spectacle' 10\n60538 ' speculate' 10\n60539 ' spherical' 10\n60540 ' spiritual' 10\n60541 ' splitting' 10\n60542 ' spokesman' 10\n60543 ' sponsored' 10\n60544 ' spotlight' 10\n60545 ' spreading' 10\n60546 ' squeezing' 10\n60547 ' stability' 10\n60548 ' stabilize' 10\n60549 ' stainless' 10\n60550 ' staircase' 10\n60551 ' standards' 10\n60552 ' startling' 10\n60553 ' statement' 10\n60554 ' statewide' 10\n60555 ' stationed' 10\n60556 ' statistic' 10\n60557 ' statutory' 10\n60558 ' stiffness' 10\n60559 ' stimulate' 10\n60560 ' storyline' 10\n60561 ' strangely' 10\n60562 ' strangers' 10\n60563 ' strategic' 10\n60564 ' streaming' 10\n60565 ' strengths' 10\n60566 ' stressful' 10\n60567 ' stretched' 10\n60568 ' stretches' 10\n60569 ' stringent' 10\n60570 ' stripping' 10\n60571 ' strongest' 10\n60572 ' structure' 10\n60573 ' struggled' 10\n60574 ' struggles' 10\n60575 ' subgroups' 10\n60576 ' subjected' 10\n60577 ' submarine' 10\n60578 ' submerged' 10\n60579 ' submitted' 10\n60580 ' subscribe' 10\n60581 ' subsidies' 10\n60582 ' substance' 10\n60583 ' substrate' 10\n60584 ' substring' 10\n60585 ' subsystem' 10\n60586 ' succeeded' 10\n60587 ' successes' 10\n60588 ' successor' 10\n60589 ' suffering' 10\n60590 ' suggested' 10\n60591 ' summaries' 10\n60592 ' summarize' 10\n60593 ' superhero' 10\n60594 ' suppliers' 10\n60595 ' supplying' 10\n60596 ' supported' 10\n60597 ' supporter' 10\n60598 ' supremacy' 10\n60599 ' surgeries' 10\n60600 ' surpassed' 10\n60601 ' surprised' 10\n60602 ' surprises' 10\n60603 ' surrender' 10\n60604 ' surrogate' 10\n60605 ' surviving' 10\n60606 ' survivors' 10\n60607 ' suspected' 10\n60608 ' suspended' 10\n60609 ' suspicion' 10\n60610 ' sustained' 10\n60611 ' swallowed' 10\n60612 ' sweetness' 10\n60613 ' switching' 10\n60614 ' symmetric' 10\n60615 ' synthesis' 10\n60616 ' synthetic' 10\n60617 ' tableView' 10\n60618 ' targeting' 10\n60619 ' taxpayers' 10\n60620 ' teachings' 10\n60621 ' teammates' 10\n60622 ' teaspoons' 10\n60623 ' technical' 10\n60624 ' technique' 10\n60625 ' teenagers' 10\n60626 ' telemetry' 10\n60627 ' telephone' 10\n60628 ' telescope' 10\n60629 ' templates' 10\n60630 ' temporada' 10\n60631 ' temporary' 10\n60632 ' tentative' 10\n60633 ' terminals' 10\n60634 ' terminate' 10\n60635 ' terrified' 10\n60636 ' territory' 10\n60637 ' terrorism' 10\n60638 ' terrorist' 10\n60639 ' testament' 10\n60640 ' testified' 10\n60641 ' testimony' 10\n60642 ' textbooks' 10\n60643 ' therapies' 10\n60644 ' therapist' 10\n60645 ' therefore' 10\n60646 ' thickness' 10\n60647 ' thousands' 10\n60648 ' threading' 10\n60649 ' threatens' 10\n60650 ' threshold' 10\n60651 ' thrilling' 10\n60652 ' thumbnail' 10\n60653 ' théâtre' 10\n60654 ' tightened' 10\n60655 ' timestamp' 10\n60656 ' tokenizer' 10\n60657 ' tolerance' 10\n60658 ' tolerated' 10\n60659 ' totalité' 10\n60660 ' touchdown' 10\n60661 ' trademark' 10\n60662 ' tradition' 10\n60663 ' trainable' 10\n60664 ' transcend' 10\n60665 ' transfers' 10\n60666 ' transform' 10\n60667 ' transient' 10\n60668 ' translate' 10\n60669 ' transport' 10\n60670 ' transpose' 10\n60671 ' traumatic' 10\n60672 ' travelers' 10\n60673 ' traveling' 10\n60674 ' travelled' 10\n60675 ' traversal' 10\n60676 ' treasures' 10\n60677 ' treatment' 10\n60678 ' trembling' 10\n60679 ' triangles' 10\n60680 ' triggered' 10\n60681 ' troubling' 10\n60682 ' truncated' 10\n60683 ' trường' 10\n60684 ' turbulent' 10\n60685 ' tutorials' 10\n60686 ' twentieth' 10\n60687 ' typically' 10\n60688 ' télévis' 10\n60689 ' unanimous' 10\n60690 ' uncertain' 10\n60691 ' unchanged' 10\n60692 ' uncovered' 10\n60693 ' undefined' 10\n60694 ' undergone' 10\n60695 ' underline' 10\n60696 ' undermine' 10\n60697 ' undertake' 10\n60698 ' underwear' 10\n60699 ' underwent' 10\n60700 ' unfolding' 10\n60701 ' unhealthy' 10\n60702 ' uniformly' 10\n60703 ' uninstall' 10\n60704 ' uninsured' 10\n60705 ' universal' 10\n60706 ' unlimited' 10\n60707 ' unpopular' 10\n60708 ' unpredict' 10\n60709 ' unrelated' 10\n60710 ' untouched' 10\n60711 ' untreated' 10\n60712 ' unusually' 10\n60713 ' unwilling' 10\n60714 ' upgrading' 10\n60715 ' uploading' 10\n60716 ' uppercase' 10\n60717 ' ursprüng' 10\n60718 ' usability' 10\n60719 ' utilities' 10\n60720 ' utilizing' 10\n60721 ' validated' 10\n60722 ' validates' 10\n60723 ' validator' 10\n60724 ' valuation' 10\n60725 ' variables' 10\n60726 ' variation' 10\n60727 ' varieties' 10\n60728 ' vegetable' 10\n60729 ' vengeance' 10\n60730 ' verifying' 10\n60731 ' versatile' 10\n60732 ' verschied' 10\n60733 ' viability' 10\n60734 ' vibration' 10\n60735 ' victories' 10\n60736 ' viewpoint' 10\n60737 ' villagers' 10\n60738 ' violating' 10\n60739 ' violation' 10\n60740 ' violently' 10\n60741 ' virtually' 10\n60742 ' viscosity' 10\n60743 ' visualize' 10\n60744 ' voluntary' 10\n60745 ' volunteer' 10\n60746 ' wandering' 10\n60747 ' warehouse' 10\n60748 ' warranted' 10\n60749 ' watershed' 10\n60750 ' weakening' 10\n60751 ' weighting' 10\n60752 ' welcoming' 10\n60753 ' wellbeing' 10\n60754 ' whichever' 10\n60755 ' whispered' 10\n60756 ' wholesale' 10\n60757 ' withdrawn' 10\n60758 ' withstand' 10\n60759 ' witnessed' 10\n60760 ' witnesses' 10\n60761 ' wonderful' 10\n60762 ' wondering' 10\n60763 ' wordpress' 10\n60764 ' workflows' 10\n60765 ' workforce' 10\n60766 ' workplace' 10\n60767 ' worksheet' 10\n60768 ' workshops' 10\n60769 ' workspace' 10\n60770 ' worldwide' 10\n60771 ' worsening' 10\n60772 ' worthless' 10\n60773 ' wrestling' 10\n60774 ' września' 10\n60775 ' yesterday' 10\n60776 ' zewnętrz' 10\n60777 ' zunächst' 10\n60778 ' Éditions' 10\n60779 ' éditions' 10\n60780 ' übernahm' 10\n60781 ' ├──' 10\n60782 ' 개인정' 10\n60783 ' 것으로' 10\n60784 ' 것이다' 10\n60785 ' 경우에' 10\n60786 ' 그러나' 10\n60787 ' 그리고' 10\n60788 ' 대한민' 10\n60789 ' 되었다' 10\n60790 ' 때문에' 10\n60791 ' 서비스' 10\n60792 ' 이용자' 10\n60793 ' 있습니' 10\n60794 ' 있었다' 10\n60795 ' 있으며' 10\n60796 ' 좋아요' 10\n60797 ' 좋은글' 10\n60798 ' 프랑스' 10\n60799 ' 합니다' 10\n60800 '----------' 10\n60801 '==========' 10\n60802 'Activation' 10\n60803 'Additional' 10\n60804 'Annotation' 10\n60805 'Apparently' 10\n60806 'Appearance' 10\n60807 'Assignment' 10\n60808 'Associated' 10\n60809 'Attachment' 10\n60810 'Attributes' 10\n60811 'Australian' 10\n60812 'Background' 10\n60813 'California' 10\n60814 'Capability' 10\n60815 'Categories' 10\n60816 'Characters' 10\n60817 'Classifier' 10\n60818 'Collection' 10\n60819 'Commission' 10\n60820 'Comparison' 10\n60821 'Completion' 10\n60822 'Components' 10\n60823 'Conclusion' 10\n60824 'Conditions' 10\n60825 'Connection' 10\n60826 'Constraint' 10\n60827 'Controller' 10\n60828 'Convention' 10\n60829 'Conversion' 10\n60830 'Coordinate' 10\n60831 'Credential' 10\n60832 'DataSource' 10\n60833 'DateFormat' 10\n60834 'Definition' 10\n60835 'Department' 10\n60836 'Dependency' 10\n60837 'Deprecated' 10\n60838 'Descriptor' 10\n60839 'Dictionary' 10\n60840 'Difference' 10\n60841 'Dimensions' 10\n60842 'Disclaimer' 10\n60843 'Discussion' 10\n60844 'Dispatcher' 10\n60845 'Encryption' 10\n60846 'Evaluation' 10\n60847 'Eventually' 10\n60848 'Everything' 10\n60849 'Exceptions' 10\n60850 'Experience' 10\n60851 'Experiment' 10\n60852 'Expression' 10\n60853 'Extensions' 10\n60854 'FileDialog' 10\n60855 'FileSystem' 10\n60856 'Foreground' 10\n60857 'ForeignKey' 10\n60858 'Foundation' 10\n60859 'FromString' 10\n60860 'Functional' 10\n60861 'GameObject' 10\n60862 'Generation' 10\n60863 'Government' 10\n60864 'Horizontal' 10\n60865 'Identifier' 10\n60866 'Individual' 10\n60867 'Initialize' 10\n60868 'Instrument' 10\n60869 'Interfaces' 10\n60870 'Invocation' 10\n60871 'JavaScript' 10\n60872 'MainWindow' 10\n60873 'Management' 10\n60874 'Manchester' 10\n60875 'Membership' 10\n60876 'MessageBox' 10\n60877 'Middleware' 10\n60878 'Navigation' 10\n60879 'Observable' 10\n60880 'Operations' 10\n60881 'Originally' 10\n60882 'Parameters' 10\n60883 'Percentage' 10\n60884 'Permission' 10\n60885 'Persistent' 10\n60886 'Population' 10\n60887 'Prediction' 10\n60888 'Preference' 10\n60889 'Previously' 10\n60890 'Processing' 10\n60891 'Production' 10\n60892 'Projection' 10\n60893 'Properties' 10\n60894 'Protection' 10\n60895 'PushButton' 10\n60896 'Recognizer' 10\n60897 'References' 10\n60898 'Reflection' 10\n60899 'Regardless' 10\n60900 'Regression' 10\n60901 'Repository' 10\n60902 'Resolution' 10\n60903 'Rightarrow' 10\n60904 'SEQUENTIAL' 10\n60905 'Sequential' 10\n60906 'Serializer' 10\n60907 'Simulation' 10\n60908 'StackTrace' 10\n60909 'Statistics' 10\n60910 'StatusCode' 10\n60911 'Subscriber' 10\n60912 'Technology' 10\n60913 'ThreadPool' 10\n60914 'Throughout' 10\n60915 'Transition' 10\n60916 'Translator' 10\n60917 'Unexpected' 10\n60918 'University' 10\n60919 'Validation' 10\n60920 'ViewHolder' 10\n60921 'Visibility' 10\n60922 'Washington' 10\n60923 'acceptable' 10\n60924 'accessible' 10\n60925 'activation' 10\n60926 'activities' 10\n60927 'additional' 10\n60928 'ailability' 10\n60929 'allocation' 10\n60930 'annotation' 10\n60931 'appearance' 10\n60932 'artifactId' 10\n60933 'assertTrue' 10\n60934 'assessment' 10\n60935 'assignment' 10\n60936 'associated' 10\n60937 'attachment' 10\n60938 'attributes' 10\n60939 'authorized' 10\n60940 'background' 10\n60941 'blockquote' 10\n60942 'boldsymbol' 10\n60943 'capitalize' 10\n60944 'categories' 10\n60945 'centration' 10\n60946 'characters' 10\n60947 'checkpoint' 10\n60948 'chromosome' 10\n60949 'classified' 10\n60950 'classifier' 10\n60951 'collection' 10\n60952 'commercial' 10\n60953 'commission' 10\n60954 'comparison' 10\n60955 'compatible' 10\n60956 'complement' 10\n60957 'completion' 10\n60958 'components' 10\n60959 'compressed' 10\n60960 'concurrent' 10\n60961 'conditions' 10\n60962 'conference' 10\n60963 'confidence' 10\n60964 'connection' 10\n60965 'consistent' 10\n60966 'constraint' 10\n60967 'containing' 10\n60968 'continuous' 10\n60969 'controlled' 10\n60970 'controller' 10\n60971 'conversion' 10\n60972 'coordinate' 10\n60973 'correction' 10\n60974 'covariance' 10\n60975 'credential' 10\n60976 'datepicker' 10\n60977 'definition' 10\n60978 'department' 10\n60979 'dependence' 10\n60980 'dependency' 10\n60981 'deployment' 10\n60982 'deprecated' 10\n60983 'derivative' 10\n60984 'descriptor' 10\n60985 'determined' 10\n60986 'developers' 10\n60987 'dictionary' 10\n60988 'difference' 10\n60989 'difficulty' 10\n60990 'dimensions' 10\n60991 'disconnect' 10\n60992 'discussion' 10\n60993 'dispatcher' 10\n60994 'efficiency' 10\n60995 'embeddings' 10\n60996 'employment' 10\n60997 'encryption' 10\n60998 'ensitivity' 10\n60999 'ensuremath' 10\n61000 'entication' 10\n61001 'equivalent' 10\n61002 'ertificate' 10\n61003 'especially' 10\n61004 'evaluation' 10\n61005 'everything' 10\n61006 'exceptions' 10\n61007 'executable' 10\n61008 'experience' 10\n61009 'experiment' 10\n61010 'expiration' 10\n61011 'expression' 10\n61012 'extensions' 10\n61013 'extraction' 10\n61014 'filesystem' 10\n61015 'foreground' 10\n61016 'fullscreen' 10\n61017 'functional' 10\n61018 'generation' 10\n61019 'getCurrent' 10\n61020 'getDefault' 10\n61021 'getElement' 10\n61022 'getMessage' 10\n61023 'googleapis' 10\n61024 'government' 10\n61025 'horizontal' 10\n61026 'identified' 10\n61027 'identifier' 10\n61028 'ificación' 10\n61029 'ifications' 10\n61030 'ificação' 10\n61031 'imensional' 10\n61032 'importance' 10\n61033 'individual' 10\n61034 'industrial' 10\n61035 'initialize' 10\n61036 'instrument' 10\n61037 'interested' 10\n61038 'interfaces' 10\n61039 'intestinal' 10\n61040 'irectional' 10\n61041 'iterations' 10\n61042 'javascript' 10\n61043 'likelihood' 10\n61044 'management' 10\n61045 'matplotlib' 10\n61046 'middleware' 10\n61047 'navigation' 10\n61048 'nederbörd' 10\n61049 'normalized' 10\n61050 'observable' 10\n61051 'occupation' 10\n61052 'occurrence' 10\n61053 'ochemistry' 10\n61054 'ographical' 10\n61055 'ologically' 10\n61056 'operations' 10\n61057 'ordination' 10\n61058 'pagination' 10\n61059 'parameters' 10\n61060 'parentNode' 10\n61061 'particular' 10\n61062 'pendicular' 10\n61063 'percentage' 10\n61064 'permission' 10\n61065 'persistent' 10\n61066 'plementary' 10\n61067 'plications' 10\n61068 'polynomial' 10\n61069 'population' 10\n61070 'postgresql' 10\n61071 'prediction' 10\n61072 'pretrained' 10\n61073 'processing' 10\n61074 'processors' 10\n61075 'production' 10\n61076 'productive' 10\n61077 'projection' 10\n61078 'properties' 10\n61079 'proportion' 10\n61080 'protection' 10\n61081 'präsident' 10\n61082 'reasonable' 10\n61083 'recognized' 10\n61084 'references' 10\n61085 'reflection' 10\n61086 'registered' 10\n61087 'regression' 10\n61088 'regulation' 10\n61089 'repository' 10\n61090 'resolution' 10\n61091 'responsive' 10\n61092 'restricted' 10\n61093 'rification' 10\n61094 'rightarrow' 10\n61095 'romagnetic' 10\n61096 'scientific' 10\n61097 'scriptions' 10\n61098 'serializer' 10\n61099 'setDefault' 10\n61100 'setEnabled' 10\n61101 'setTimeout' 10\n61102 'setVisible' 10\n61103 'similarity' 10\n61104 'simulation' 10\n61105 'startswith' 10\n61106 'statements' 10\n61107 'statistics' 10\n61108 'structions' 10\n61109 'structured' 10\n61110 'structures' 10\n61111 'stylesheet' 10\n61112 'submission' 10\n61113 'subscriber' 10\n61114 'subsection' 10\n61115 'successful' 10\n61116 'supervised' 10\n61117 'technology' 10\n61118 'tensorflow' 10\n61119 'terminated' 10\n61120 'throughput' 10\n61121 'trajectory' 10\n61122 'transforms' 10\n61123 'transition' 10\n61124 'translated' 10\n61125 'usepackage' 10\n61126 'ustainable' 10\n61127 'validation' 10\n61128 'varepsilon' 10\n61129 'vironments' 10\n61130 'visibility' 10\n61131 'ynchronous' 10\n61132 'Петер' 10\n61133 'атель' 10\n61134 'аться' 10\n61135 'вания' 10\n61136 'вання' 10\n61137 'восто' 10\n61138 'говор' 10\n61139 'город' 10\n61140 'готов' 10\n61141 'графи' 10\n61142 'дения' 10\n61143 'держа' 10\n61144 'дного' 10\n61145 'едера' 10\n61146 'жение' 10\n61147 'жении' 10\n61148 'жений' 10\n61149 'жения' 10\n61150 'ження' 10\n61151 'зиден' 10\n61152 'знача' 10\n61153 'итель' 10\n61154 'йской' 10\n61155 'коном' 10\n61156 'країн' 10\n61157 'ктиче' 10\n61158 'ктора' 10\n61159 'лання' 10\n61160 'лемен' 10\n61161 'ление' 10\n61162 'лении' 10\n61163 'лений' 10\n61164 'ления' 10\n61165 'лення' 10\n61166 'лимпи' 10\n61167 'лович' 10\n61168 'лтати' 10\n61169 'льной' 10\n61170 'льный' 10\n61171 'льных' 10\n61172 'мента' 10\n61173 'мости' 10\n61174 'народ' 10\n61175 'нение' 10\n61176 'нения' 10\n61177 'нення' 10\n61178 'ников' 10\n61179 'ником' 10\n61180 'ників' 10\n61181 'ности' 10\n61182 'ность' 10\n61183 'ності' 10\n61184 'нього' 10\n61185 'ність' 10\n61186 'образ' 10\n61187 'овано' 10\n61188 'овать' 10\n61189 'ового' 10\n61190 'ограм' 10\n61191 'ограф' 10\n61192 'ологи' 10\n61193 'олько' 10\n61194 'ональ' 10\n61195 'ответ' 10\n61196 'парта' 10\n61197 'писан' 10\n61198 'писко' 10\n61199 'писок' 10\n61200 'повід' 10\n61201 'прави' 10\n61202 'преде' 10\n61203 'публи' 10\n61204 'ремен' 10\n61205 'рення' 10\n61206 'ристи' 10\n61207 'ритор' 10\n61208 'рован' 10\n61209 'ровой' 10\n61210 'ската' 10\n61211 'скими' 10\n61212 'ского' 10\n61213 'скому' 10\n61214 'спорт' 10\n61215 'стави' 10\n61216 'стана' 10\n61217 'ствен' 10\n61218 'ствие' 10\n61219 'ствии' 10\n61220 'ством' 10\n61221 'ститу' 10\n61222 'стову' 10\n61223 'стори' 10\n61224 'стоян' 10\n61225 'стран' 10\n61226 'стров' 10\n61227 'строй' 10\n61228 'струк' 10\n61229 'ступа' 10\n61230 'ступи' 10\n61231 'судар' 10\n61232 'сылки' 10\n61233 'ський' 10\n61234 'ським' 10\n61235 'ських' 10\n61236 'ською' 10\n61237 'ської' 10\n61238 'ській' 10\n61239 'телей' 10\n61240 'телем' 10\n61241 'тисти' 10\n61242 'тного' 10\n61243 'тором' 10\n61244 'форма' 10\n61245 'фіцій' 10\n61246 'ходит' 10\n61247 'циали' 10\n61248 'циаль' 10\n61249 'циона' 10\n61250 'цький' 10\n61251 'ціаль' 10\n61252 'чение' 10\n61253 'чения' 10\n61254 'ченко' 10\n61255 'чення' 10\n61256 'чного' 10\n61257 'шение' 10\n61258 'шения' 10\n61259 'шення' 10\n61260 'шибка' 10\n61261 'щение' 10\n61262 'щения' 10\n61263 'ългар' 10\n61264 'ються' 10\n61265 'ющего' 10\n61266 'ється' 10\n61267 'ільки' 10\n61268 'љашње' 10\n61269 '\\n\\n         ' 11\n61270 '\\n          ' 11\n61271 '\\r\\n\\r\\n       ' 11\n61272 '\\r\\n         ' 11\n61273 ' \\n         ' 11\n61274 '           ' 11\n61275 ' ----------' 11\n61276 ' Aboriginal' 11\n61277 ' Activation' 11\n61278 ' Activities' 11\n61279 ' Additional' 11\n61280 ' Adventures' 11\n61281 ' Affordable' 11\n61282 ' Afterwards' 11\n61283 ' Alexandria' 11\n61284 ' Ambassador' 11\n61285 ' Annotation' 11\n61286 ' Antarctica' 11\n61287 ' Apparently' 11\n61288 ' Archbishop' 11\n61289 ' Arithmetic' 11\n61290 ' Artificial' 11\n61291 ' Assessment' 11\n61292 ' Assignment' 11\n61293 ' Assistance' 11\n61294 ' Associated' 11\n61295 ' Associates' 11\n61296 ' Attachment' 11\n61297 ' Attributes' 11\n61298 ' Australian' 11\n61299 ' Azerbaijan' 11\n61300 ' BACKGROUND' 11\n61301 ' Background' 11\n61302 ' Bangladesh' 11\n61303 ' Basketball' 11\n61304 ' Biological' 11\n61305 ' Birmingham' 11\n61306 ' BlackBerry' 11\n61307 ' Blockchain' 11\n61308 ' Buckingham' 11\n61309 ' CONDITIONS' 11\n61310 ' CONNECTION' 11\n61311 ' Calculator' 11\n61312 ' California' 11\n61313 ' Categories' 11\n61314 ' Chancellor' 11\n61315 ' Charleston' 11\n61316 ' Christians' 11\n61317 ' Cincinnati' 11\n61318 ' Classifier' 11\n61319 ' Collection' 11\n61320 ' Commercial' 11\n61321 ' Commission' 11\n61322 ' Comparison' 11\n61323 ' Components' 11\n61324 ' Conclusion' 11\n61325 ' Concurrent' 11\n61326 ' Conditions' 11\n61327 ' Conference' 11\n61328 ' Connection' 11\n61329 ' Consortium' 11\n61330 ' Constantin' 11\n61331 ' Constraint' 11\n61332 ' Continuous' 11\n61333 ' Controller' 11\n61334 ' Convention' 11\n61335 ' Conversely' 11\n61336 ' Conversion' 11\n61337 ' Coordinate' 11\n61338 ' Copenhagen' 11\n61339 ' Correction' 11\n61340 ' Correspond' 11\n61341 ' Cunningham' 11\n61342 ' Defendants' 11\n61343 ' Definition' 11\n61344 ' Democratic' 11\n61345 ' Department' 11\n61346 ' Dependency' 11\n61347 ' Depression' 11\n61348 ' Developers' 11\n61349 ' Developing' 11\n61350 ' Diagnostic' 11\n61351 ' Dictionary' 11\n61352 ' Difference' 11\n61353 ' Dimensions' 11\n61354 ' Directions' 11\n61355 ' Discussion' 11\n61356 ' Disneyland' 11\n61357 ' Electrical' 11\n61358 ' Electronic' 11\n61359 ' Elementary' 11\n61360 ' Employment' 11\n61361 ' Enterprise' 11\n61362 ' Especially' 11\n61363 ' Evaluation' 11\n61364 ' Eventually' 11\n61365 ' Everything' 11\n61366 ' Excellence' 11\n61367 ' Exhibition' 11\n61368 ' Expedition' 11\n61369 ' Experience' 11\n61370 ' Experiment' 11\n61371 ' Expression' 11\n61372 ' Extensions' 11\n61373 ' Federation' 11\n61374 ' Fellowship' 11\n61375 ' Fernández' 11\n61376 ' Fitzgerald' 11\n61377 ' Foundation' 11\n61378 ' Functional' 11\n61379 ' Generation' 11\n61380 ' Geographic' 11\n61381 ' Geological' 11\n61382 ' Government' 11\n61383 ' Guidelines' 11\n61384 ' Healthcare' 11\n61385 ' Hernández' 11\n61386 ' Historical' 11\n61387 ' Horizontal' 11\n61388 ' Huntington' 11\n61389 ' Identifier' 11\n61390 ' Increasing' 11\n61391 ' Indigenous' 11\n61392 ' Individual' 11\n61393 ' Indonesian' 11\n61394 ' Industrial' 11\n61395 ' Industries' 11\n61396 ' Initialize' 11\n61397 ' Initiative' 11\n61398 ' Innovation' 11\n61399 ' Institutes' 11\n61400 ' Instrument' 11\n61401 ' Integrated' 11\n61402 ' Interstate' 11\n61403 ' Investment' 11\n61404 ' JavaScript' 11\n61405 ' Javascript' 11\n61406 ' Kazakhstan' 11\n61407 ' Kubernetes' 11\n61408 ' Laboratory' 11\n61409 ' Leadership' 11\n61410 ' Liberation' 11\n61411 ' Lieutenant' 11\n61412 ' Ligações' 11\n61413 ' Literature' 11\n61414 ' Louisville' 11\n61415 ' Luxembourg' 11\n61416 ' Madagascar' 11\n61417 ' MainWindow' 11\n61418 ' Management' 11\n61419 ' Manchester' 11\n61420 ' Mechanical' 11\n61421 ' Membership' 11\n61422 ' Millennium' 11\n61423 ' Monitoring' 11\n61424 ' Montgomery' 11\n61425 ' NEGLIGENCE' 11\n61426 ' Navigation' 11\n61427 ' Nottingham' 11\n61428 ' Observable' 11\n61429 ' Operations' 11\n61430 ' Opposition' 11\n61431 ' Originally' 11\n61432 ' PARTICULAR' 11\n61433 ' Parameters' 11\n61434 ' Parenthood' 11\n61435 ' Parliament' 11\n61436 ' Percentage' 11\n61437 ' Permission' 11\n61438 ' Personally' 11\n61439 ' Petersburg' 11\n61440 ' Philippine' 11\n61441 ' Philosophy' 11\n61442 ' Pittsburgh' 11\n61443 ' Polynomial' 11\n61444 ' Population' 11\n61445 ' Portuguese' 11\n61446 ' PostgreSQL' 11\n61447 ' Prediction' 11\n61448 ' Presidente' 11\n61449 ' Prevention' 11\n61450 ' Previously' 11\n61451 ' Principles' 11\n61452 ' Procedures' 11\n61453 ' Processing' 11\n61454 ' Production' 11\n61455 ' Properties' 11\n61456 ' Protection' 11\n61457 ' Protestant' 11\n61458 ' Providence' 11\n61459 ' Provincial' 11\n61460 ' Präsident' 11\n61461 ' Psychology' 11\n61462 ' Publishers' 11\n61463 ' Publishing' 11\n61464 ' Queensland' 11\n61465 ' References' 11\n61466 ' Regardless' 11\n61467 ' Regression' 11\n61468 ' Regulation' 11\n61469 ' Repository' 11\n61470 ' Republican' 11\n61471 ' República' 11\n61472 ' Resistance' 11\n61473 ' Resolution' 11\n61474 ' Restaurant' 11\n61475 ' Revolution' 11\n61476 ' Richardson' 11\n61477 ' Rodríguez' 11\n61478 ' Sacramento' 11\n61479 ' Scientific' 11\n61480 ' Scientists' 11\n61481 ' Securities' 11\n61482 ' Sequential' 11\n61483 ' Settlement' 11\n61484 ' Simulation' 11\n61485 ' Snapdragon' 11\n61486 ' Stanisław' 11\n61487 ' Statistics' 11\n61488 ' Structural' 11\n61489 ' Successful' 11\n61490 ' Supplement' 11\n61491 ' Supporting' 11\n61492 ' Techniques' 11\n61493 ' Technology' 11\n61494 ' Television' 11\n61495 ' TensorFlow' 11\n61496 ' Throughout' 11\n61497 ' Tournament' 11\n61498 ' Transcript' 11\n61499 ' Transition' 11\n61500 ' Ultimately' 11\n61501 ' Unexpected' 11\n61502 ' University' 11\n61503 ' Validation' 11\n61504 ' ValueError' 11\n61505 ' Verfügung' 11\n61506 ' Vietnamese' 11\n61507 ' Volkswagen' 11\n61508 ' WARRANTIES' 11\n61509 ' Washington' 11\n61510 ' Wellington' 11\n61511 ' Wikipédia' 11\n61512 ' Williamson' 11\n61513 ' Zuckerberg' 11\n61514 ' absolutely' 11\n61515 ' absorption' 11\n61516 ' accelerate' 11\n61517 ' acceptable' 11\n61518 ' acceptance' 11\n61519 ' accessible' 11\n61520 ' accidental' 11\n61521 ' accomplish' 11\n61522 ' accordance' 11\n61523 ' accounting' 11\n61524 ' accredited' 11\n61525 ' accumulate' 11\n61526 ' accurately' 11\n61527 ' accusation' 11\n61528 ' accustomed' 11\n61529 ' achievable' 11\n61530 ' activating' 11\n61531 ' activation' 11\n61532 ' activities' 11\n61533 ' activités' 11\n61534 ' adaptation' 11\n61535 ' additional' 11\n61536 ' addressing' 11\n61537 ' adequately' 11\n61538 ' adjustable' 11\n61539 ' adjustment' 11\n61540 ' administer' 11\n61541 ' admiration' 11\n61542 ' admissions' 11\n61543 ' adolescent' 11\n61544 ' advantages' 11\n61545 ' adventures' 11\n61546 ' advertised' 11\n61547 ' advocating' 11\n61548 ' aesthetics' 11\n61549 ' affiliated' 11\n61550 ' affiliates' 11\n61551 ' affordable' 11\n61552 ' afterwards' 11\n61553 ' aggravated' 11\n61554 ' aggregated' 11\n61555 ' aggregates' 11\n61556 ' aggression' 11\n61557 ' aggressive' 11\n61558 ' agreements' 11\n61559 ' algorithms' 11\n61560 ' alignments' 11\n61561 ' allegation' 11\n61562 ' allegiance' 11\n61563 ' allerdings' 11\n61564 ' allocation' 11\n61565 ' alteration' 11\n61566 ' altogether' 11\n61567 ' ambassador' 11\n61568 ' amendments' 11\n61569 ' ammunition' 11\n61570 ' amplitudes' 11\n61571 ' américain' 11\n61572 ' analytical' 11\n61573 ' anesthesia' 11\n61574 ' animations' 11\n61575 ' annotation' 11\n61576 ' announcing' 11\n61577 ' antagonist' 11\n61578 ' antibiotic' 11\n61579 ' antibodies' 11\n61580 ' anticipate' 11\n61581 ' apartments' 11\n61582 ' apologized' 11\n61583 ' apparently' 11\n61584 ' appearance' 11\n61585 ' appliances' 11\n61586 ' applicable' 11\n61587 ' applicants' 11\n61588 ' appreciate' 11\n61589 ' approached' 11\n61590 ' approaches' 11\n61591 ' architects' 11\n61592 ' arithmetic' 11\n61593 ' articulate' 11\n61594 ' artificial' 11\n61595 ' aspiration' 11\n61596 ' assemblies' 11\n61597 ' assembling' 11\n61598 ' assertions' 11\n61599 ' assessment' 11\n61600 ' assignment' 11\n61601 ' assistance' 11\n61602 ' assistants' 11\n61603 ' associated' 11\n61604 ' associates' 11\n61605 ' assortment' 11\n61606 ' assumption' 11\n61607 ' astonished' 11\n61608 ' asymmetric' 11\n61609 ' asymptotic' 11\n61610 ' atmosphere' 11\n61611 ' attachment' 11\n61612 ' attainment' 11\n61613 ' attempting' 11\n61614 ' attendance' 11\n61615 ' attracting' 11\n61616 ' attraction' 11\n61617 ' attractive' 11\n61618 ' attributed' 11\n61619 ' attributes' 11\n61620 ' authorized' 11\n61621 ' autoimmune' 11\n61622 ' automation' 11\n61623 ' automobile' 11\n61624 ' automotive' 11\n61625 ' autonomous' 11\n61626 ' background' 11\n61627 ' bankruptcy' 11\n61628 ' bargaining' 11\n61629 ' basketball' 11\n61630 ' beforehand' 11\n61631 ' beginnings' 11\n61632 ' behavioral' 11\n61633 ' behaviours' 11\n61634 ' belongings' 11\n61635 ' benchmarks' 11\n61636 ' beneficial' 11\n61637 ' biological' 11\n61638 ' biomedical' 11\n61639 ' bipartisan' 11\n61640 ' bitterness' 11\n61641 ' blockchain' 11\n61642 ' borderline' 11\n61643 ' bottleneck' 11\n61644 ' boundaries' 11\n61645 ' breakpoint' 11\n61646 ' brightness' 11\n61647 ' broadcasts' 11\n61648 ' businesses' 11\n61649 ' calculated' 11\n61650 ' calculates' 11\n61651 ' calculator' 11\n61652 ' calibrated' 11\n61653 ' candidates' 11\n61654 ' capability' 11\n61655 ' capacities' 11\n61656 ' capitalism' 11\n61657 ' capitalist' 11\n61658 ' caractère' 11\n61659 ' caregivers' 11\n61660 ' casualties' 11\n61661 ' categories' 11\n61662 ' categoría' 11\n61663 ' cautiously' 11\n61664 ' celebrated' 11\n61665 ' celebrates' 11\n61666 ' censorship' 11\n61667 ' ceremonies' 11\n61668 ' challenged' 11\n61669 ' challenges' 11\n61670 ' chancellor' 11\n61671 ' characters' 11\n61672 ' charitable' 11\n61673 ' checkpoint' 11\n61674 ' chromosome' 11\n61675 ' cigarettes' 11\n61676 ' ciphertext' 11\n61677 ' circulated' 11\n61678 ' classified' 11\n61679 ' classifier' 11\n61680 ' classmates' 11\n61681 ' classrooms' 11\n61682 ' clinically' 11\n61683 ' clinicians' 11\n61684 ' clustering' 11\n61685 ' collapsing' 11\n61686 ' collateral' 11\n61687 ' colleagues' 11\n61688 ' collecting' 11\n61689 ' collection' 11\n61690 ' collective' 11\n61691 ' collectors' 11\n61692 ' collisions' 11\n61693 ' combustion' 11\n61694 ' comforting' 11\n61695 ' commanders' 11\n61696 ' commanding' 11\n61697 ' commentary' 11\n61698 ' commenting' 11\n61699 ' commercial' 11\n61700 ' commission' 11\n61701 ' commitment' 11\n61702 ' committees' 11\n61703 ' committing' 11\n61704 ' companions' 11\n61705 ' comparable' 11\n61706 ' comparator' 11\n61707 ' comparison' 11\n61708 ' compassion' 11\n61709 ' compatible' 11\n61710 ' compelling' 11\n61711 ' compensate' 11\n61712 ' competence' 11\n61713 ' competitor' 11\n61714 ' complained' 11\n61715 ' complaints' 11\n61716 ' complement' 11\n61717 ' completely' 11\n61718 ' completing' 11\n61719 ' completion' 11\n61720 ' complexity' 11\n61721 ' compliance' 11\n61722 ' compliment' 11\n61723 ' components' 11\n61724 ' comprehend' 11\n61725 ' compressed' 11\n61726 ' compressor' 11\n61727 ' comprising' 11\n61728 ' compromise' 11\n61729 ' compulsory' 11\n61730 ' conception' 11\n61731 ' conceptual' 11\n61732 ' concerning' 11\n61733 ' concession' 11\n61734 ' concluding' 11\n61735 ' conclusion' 11\n61736 ' conclusive' 11\n61737 ' concurrent' 11\n61738 ' conditions' 11\n61739 ' conducting' 11\n61740 ' conduction' 11\n61741 ' conductive' 11\n61742 ' conference' 11\n61743 ' confession' 11\n61744 ' confidence' 11\n61745 ' configured' 11\n61746 ' confirming' 11\n61747 ' conformity' 11\n61748 ' confronted' 11\n61749 ' congestion' 11\n61750 ' conjecture' 11\n61751 ' connecting' 11\n61752 ' connection' 11\n61753 ' connectors' 11\n61754 ' conscience' 11\n61755 ' considered' 11\n61756 ' consistent' 11\n61757 ' consisting' 11\n61758 ' consortium' 11\n61759 ' conspiracy' 11\n61760 ' constantly' 11\n61761 ' constitute' 11\n61762 ' constraint' 11\n61763 ' constructs' 11\n61764 ' consultant' 11\n61765 ' consulting' 11\n61766 ' contacting' 11\n61767 ' containers' 11\n61768 ' containing' 11\n61769 ' contention' 11\n61770 ' contextual' 11\n61771 ' contiguous' 11\n61772 ' continents' 11\n61773 ' contingent' 11\n61774 ' continuing' 11\n61775 ' continuity' 11\n61776 ' continuous' 11\n61777 ' contracted' 11\n61778 ' contractor' 11\n61779 ' contradict' 11\n61780 ' contribute' 11\n61781 ' controlled' 11\n61782 ' controller' 11\n61783 ' controvers' 11\n61784 ' convenient' 11\n61785 ' convention' 11\n61786 ' conversion' 11\n61787 ' converters' 11\n61788 ' converting' 11\n61789 ' conviction' 11\n61790 ' convincing' 11\n61791 ' coordinate' 11\n61792 ' correcting' 11\n61793 ' correction' 11\n61794 ' correlated' 11\n61795 ' correlates' 11\n61796 ' correspond' 11\n61797 ' corruption' 11\n61798 ' counseling' 11\n61799 ' covariance' 11\n61800 ' creativity' 11\n61801 ' critically' 11\n61802 ' criticised' 11\n61803 ' criticisms' 11\n61804 ' criticized' 11\n61805 ' cultivated' 11\n61806 ' culturally' 11\n61807 ' cumbersome' 11\n61808 ' cumulative' 11\n61809 ' currencies' 11\n61810 ' curriculum' 11\n61811 ' customized' 11\n61812 ' datasource' 11\n61813 ' dealership' 11\n61814 ' decoration' 11\n61815 ' decorative' 11\n61816 ' decreasing' 11\n61817 ' dedication' 11\n61818 ' deductions' 11\n61819 ' defendants' 11\n61820 ' deficiency' 11\n61821 ' definitely' 11\n61822 ' definition' 11\n61823 ' definitive' 11\n61824 ' delegation' 11\n61825 ' deliberate' 11\n61826 ' delightful' 11\n61827 ' deliveries' 11\n61828 ' delivering' 11\n61829 ' democratic' 11\n61830 ' demolished' 11\n61831 ' department' 11\n61832 ' dependence' 11\n61833 ' dependency' 11\n61834 ' deployment' 11\n61835 ' deposition' 11\n61836 ' deprecated' 11\n61837 ' depressing' 11\n61838 ' depression' 11\n61839 ' depressive' 11\n61840 ' derivation' 11\n61841 ' derivative' 11\n61842 ' dernières' 11\n61843 ' desarrollo' 11\n61844 ' descendant' 11\n61845 ' descending' 11\n61846 ' describing' 11\n61847 ' descriptor' 11\n61848 ' designated' 11\n61849 ' destroying' 11\n61850 ' detachment' 11\n61851 ' detections' 11\n61852 ' detectives' 11\n61853 ' determined' 11\n61854 ' determines' 11\n61855 ' devastated' 11\n61856 ' developers' 11\n61857 ' developing' 11\n61858 ' deviations' 11\n61859 ' diagnostic' 11\n61860 ' dictionary' 11\n61861 ' dielectric' 11\n61862 ' diferentes' 11\n61863 ' difference' 11\n61864 ' differenti' 11\n61865 ' difficulty' 11\n61866 ' différent' 11\n61867 ' dimensions' 11\n61868 ' diminished' 11\n61869 ' diplomatic' 11\n61870 ' dirección' 11\n61871 ' directions' 11\n61872 ' directives' 11\n61873 ' disability' 11\n61874 ' disappears' 11\n61875 ' disappoint' 11\n61876 ' disastrous' 11\n61877 ' discharged' 11\n61878 ' discipline' 11\n61879 ' disclaimer' 11\n61880 ' disclosure' 11\n61881 ' discomfort' 11\n61882 ' disconnect' 11\n61883 ' discounted' 11\n61884 ' discourage' 11\n61885 ' discovered' 11\n61886 ' discretion' 11\n61887 ' discussing' 11\n61888 ' discussion' 11\n61889 ' diseñador' 11\n61890 ' disgusting' 11\n61891 ' dismissing' 11\n61892 ' dispatched' 11\n61893 ' dispersion' 11\n61894 ' displaying' 11\n61895 ' disponible' 11\n61896 ' disposable' 11\n61897 ' disrespect' 11\n61898 ' disruption' 11\n61899 ' disruptive' 11\n61900 ' distinctly' 11\n61901 ' distortion' 11\n61902 ' distracted' 11\n61903 ' distressed' 11\n61904 ' distribute' 11\n61905 ' disturbing' 11\n61906 ' divergence' 11\n61907 ' documented' 11\n61908 ' dominating' 11\n61909 ' domination' 11\n61910 ' downloaded' 11\n61911 ' downstairs' 11\n61912 ' downstream' 11\n61913 ' duplicated' 11\n61914 ' duplicates' 11\n61915 ' durability' 11\n61916 ' découvrir' 11\n61917 ' désormais' 11\n61918 ' earthquake' 11\n61919 ' ecological' 11\n61920 ' economical' 11\n61921 ' economists' 11\n61922 ' ecosystems' 11\n61923 ' efficiency' 11\n61924 ' eigenvalue' 11\n61925 ' electorate' 11\n61926 ' electrical' 11\n61927 ' electrodes' 11\n61928 ' electronic' 11\n61929 ' elementary' 11\n61930 ' eliminated' 11\n61931 ' eliminates' 11\n61932 ' embeddings' 11\n61933 ' embodiment' 11\n61934 ' emphasized' 11\n61935 ' emphasizes' 11\n61936 ' employment' 11\n61937 ' encounters' 11\n61938 ' encouraged' 11\n61939 ' encourages' 11\n61940 ' encryption' 11\n61941 ' endangered' 11\n61942 ' engagement' 11\n61943 ' engineered' 11\n61944 ' enrichment' 11\n61945 ' enrollment' 11\n61946 ' enterprise' 11\n61947 ' enthusiasm' 11\n61948 ' entreprene' 11\n61949 ' enumerated' 11\n61950 ' envisioned' 11\n61951 ' epithelial' 11\n61952 ' equivalent' 11\n61953 ' especially' 11\n61954 ' estimating' 11\n61955 ' estimation' 11\n61956 ' evacuation' 11\n61957 ' evaluating' 11\n61958 ' evaluation' 11\n61959 ' eventually' 11\n61960 ' everything' 11\n61961 ' everywhere' 11\n61962 ' excellence' 11\n61963 ' exceptions' 11\n61964 ' exchanging' 11\n61965 ' excitation' 11\n61966 ' excitement' 11\n61967 ' executable' 11\n61968 ' executions' 11\n61969 ' executives' 11\n61970 ' exemptions' 11\n61971 ' exercising' 11\n61972 ' exhaustion' 11\n61973 ' exhaustive' 11\n61974 ' exhibiting' 11\n61975 ' exhibition' 11\n61976 ' expansions' 11\n61977 ' expectancy' 11\n61978 ' expedition' 11\n61979 ' experience' 11\n61980 ' experiment' 11\n61981 ' expiration' 11\n61982 ' explaining' 11\n61983 ' explicitly' 11\n61984 ' exploiting' 11\n61985 ' explosions' 11\n61986 ' explosives' 11\n61987 ' exposition' 11\n61988 ' expressing' 11\n61989 ' expression' 11\n61990 ' expressive' 11\n61991 ' extensions' 11\n61992 ' externally' 11\n61993 ' extinction' 11\n61994 ' extracting' 11\n61995 ' extraction' 11\n61996 ' extraordin' 11\n61997 ' fabricated' 11\n61998 ' facilitate' 11\n61999 ' facilities' 11\n62000 ' faithfully' 11\n62001 ' fascinated' 11\n62002 ' favourable' 11\n62003 ' fellowship' 11\n62004 ' fertilizer' 11\n62005 ' filesystem' 11\n62006 ' filmmakers' 11\n62007 ' filtration' 11\n62008 ' fingertips' 11\n62009 ' footballer' 11\n62010 ' foreground' 11\n62011 ' foreigners' 11\n62012 ' forgetting' 11\n62013 ' formations' 11\n62014 ' formatting' 11\n62015 ' formidable' 11\n62016 ' formulated' 11\n62017 ' forwarding' 11\n62018 ' foundation' 11\n62019 ' fractional' 11\n62020 ' fragmented' 11\n62021 ' frameworks' 11\n62022 ' française' 11\n62023 ' fraudulent' 11\n62024 ' frequently' 11\n62025 ' freshwater' 11\n62026 ' friendship' 11\n62027 ' frightened' 11\n62028 ' frustrated' 11\n62029 ' fulfilling' 11\n62030 ' functional' 11\n62031 ' gatherings' 11\n62032 ' gegenüber' 11\n62033 ' gegründet' 11\n62034 ' generating' 11\n62035 ' generation' 11\n62036 ' generators' 11\n62037 ' generosity' 11\n62038 ' geographic' 11\n62039 ' girlfriend' 11\n62040 ' governance' 11\n62041 ' government' 11\n62042 ' graduating' 11\n62043 ' graduation' 11\n62044 ' grassroots' 11\n62045 ' greenhouse' 11\n62046 ' guaranteed' 11\n62047 ' guarantees' 11\n62048 ' guidelines' 11\n62049 ' générale' 11\n62050 ' harassment' 11\n62051 ' harvesting' 11\n62052 ' headphones' 11\n62053 ' healthcare' 11\n62054 ' heightened' 11\n62055 ' helicopter' 11\n62056 ' hemisphere' 11\n62057 ' hesitation' 11\n62058 ' highlights' 11\n62059 ' histograms' 11\n62060 ' historians' 11\n62061 ' historical' 11\n62062 ' homeowners' 11\n62063 ' homosexual' 11\n62064 ' horizontal' 11\n62065 ' households' 11\n62066 ' hypotheses' 11\n62067 ' hypothesis' 11\n62068 ' identified' 11\n62069 ' identifier' 11\n62070 ' identifies' 11\n62071 ' identities' 11\n62072 ' illustrate' 11\n62073 ' immigrants' 11\n62074 ' impairment' 11\n62075 ' imperative' 11\n62076 ' implements' 11\n62077 ' implicated' 11\n62078 ' implicitly' 11\n62079 ' importance' 11\n62080 ' importante' 11\n62081 ' imposition' 11\n62082 ' impossible' 11\n62083 ' impression' 11\n62084 ' impressive' 11\n62085 ' imprisoned' 11\n62086 ' improperly' 11\n62087 ' inaccurate' 11\n62088 ' inadequate' 11\n62089 ' incentives' 11\n62090 ' incidental' 11\n62091 ' incomplete' 11\n62092 ' increasing' 11\n62093 ' incredible' 11\n62094 ' incredibly' 11\n62095 ' increments' 11\n62096 ' incubation' 11\n62097 ' indefinite' 11\n62098 ' indicating' 11\n62099 ' indication' 11\n62100 ' indicative' 11\n62101 ' indicators' 11\n62102 ' indictment' 11\n62103 ' indigenous' 11\n62104 ' indirectly' 11\n62105 ' individual' 11\n62106 ' industrial' 11\n62107 ' industries' 11\n62108 ' inequality' 11\n62109 ' inevitable' 11\n62110 ' inevitably' 11\n62111 ' infections' 11\n62112 ' infectious' 11\n62113 ' infinitely' 11\n62114 ' influenced' 11\n62115 ' influences' 11\n62116 ' ingredient' 11\n62117 ' inherently' 11\n62118 ' inhibition' 11\n62119 ' inhibitors' 11\n62120 ' inhibitory' 11\n62121 ' initialize' 11\n62122 ' initiating' 11\n62123 ' initiation' 11\n62124 ' initiative' 11\n62125 ' injections' 11\n62126 ' injunction' 11\n62127 ' innovation' 11\n62128 ' innovative' 11\n62129 ' insecurity' 11\n62130 ' insightful' 11\n62131 ' insistence' 11\n62132 ' inspection' 11\n62133 ' installing' 11\n62134 ' instanceof' 11\n62135 ' instituted' 11\n62136 ' instructed' 11\n62137 ' instructor' 11\n62138 ' instrument' 11\n62139 ' insulating' 11\n62140 ' insulation' 11\n62141 ' integrated' 11\n62142 ' integrates' 11\n62143 ' intentions' 11\n62144 ' interested' 11\n62145 ' interfaces' 11\n62146 ' internally' 11\n62147 ' interviews' 11\n62148 ' intestinal' 11\n62149 ' intimately' 11\n62150 ' intriguing' 11\n62151 ' introduced' 11\n62152 ' introduces' 11\n62153 ' invalidate' 11\n62154 ' invaluable' 11\n62155 ' invariably' 11\n62156 ' inventions' 11\n62157 ' investment' 11\n62158 ' invitation' 11\n62159 ' invocation' 11\n62160 ' irrational' 11\n62161 ' irrelevant' 11\n62162 ' irrigation' 11\n62163 ' irritation' 11\n62164 ' isinstance' 11\n62165 ' iterations' 11\n62166 ' javascript' 11\n62167 ' journalism' 11\n62168 ' journalist' 11\n62169 ' kidnapping' 11\n62170 ' kilometers' 11\n62171 ' kilometres' 11\n62172 ' laboratory' 11\n62173 ' landscapes' 11\n62174 ' leadership' 11\n62175 ' legitimacy' 11\n62176 ' legitimate' 11\n62177 ' liberation' 11\n62178 ' lieutenant' 11\n62179 ' likelihood' 11\n62180 ' limitation' 11\n62181 ' linebacker' 11\n62182 ' linguistic' 11\n62183 ' literature' 11\n62184 ' litigation' 11\n62185 ' livelihood' 11\n62186 ' loneliness' 11\n62187 ' magistrate' 11\n62188 ' mainstream' 11\n62189 ' maintained' 11\n62190 ' manageable' 11\n62191 ' management' 11\n62192 ' manifested' 11\n62193 ' manipulate' 11\n62194 ' manuscript' 11\n62195 ' materially' 11\n62196 ' mathematic' 11\n62197 ' matplotlib' 11\n62198 ' maximizing' 11\n62199 ' meaningful' 11\n62200 ' measurable' 11\n62201 ' mechanical' 11\n62202 ' mechanisms' 11\n62203 ' medication' 11\n62204 ' meditation' 11\n62205 ' membership' 11\n62206 ' memorandum' 11\n62207 ' mentioning' 11\n62208 ' metabolism' 11\n62209 ' metastasis' 11\n62210 ' microphone' 11\n62211 ' microscope' 11\n62212 ' microscopy' 11\n62213 ' middleware' 11\n62214 ' midfielder' 11\n62215 ' migrations' 11\n62216 ' minimizing' 11\n62217 ' minorities' 11\n62218 ' misconduct' 11\n62219 ' misleading' 11\n62220 ' missionary' 11\n62221 ' mitigation' 11\n62222 ' moderately' 11\n62223 ' moderation' 11\n62224 ' modulation' 11\n62225 ' monitoring' 11\n62226 ' monumental' 11\n62227 ' morphology' 11\n62228 ' mosquitoes' 11\n62229 ' motivation' 11\n62230 ' motorcycle' 11\n62231 ' multimedia' 11\n62232 ' multiplied' 11\n62233 ' multiplier' 11\n62234 ' mysterious' 11\n62235 ' namespaces' 11\n62236 ' narratives' 11\n62237 ' nationally' 11\n62238 ' nationwide' 11\n62239 ' natürlich' 11\n62240 ' navigating' 11\n62241 ' navigation' 11\n62242 ' nederbörd' 11\n62243 ' negatively' 11\n62244 ' negligence' 11\n62245 ' negligible' 11\n62246 ' negotiated' 11\n62247 ' neighbours' 11\n62248 ' networking' 11\n62249 ' neurotrans' 11\n62250 ' neutrality' 11\n62251 ' newsletter' 11\n62252 ' newspapers' 11\n62253 ' nineteenth' 11\n62254 ' nomination' 11\n62255 ' normalized' 11\n62256 ' noteworthy' 11\n62257 ' noticeable' 11\n62258 ' nucleotide' 11\n62259 ' objections' 11\n62260 ' objectives' 11\n62261 ' obligation' 11\n62262 ' observable' 11\n62263 ' occasional' 11\n62264 ' occupation' 11\n62265 ' occurrence' 11\n62266 ' officially' 11\n62267 ' operations' 11\n62268 ' opposition' 11\n62269 ' oppression' 11\n62270 ' optimistic' 11\n62271 ' optimizing' 11\n62272 ' optionally' 11\n62273 ' organizers' 11\n62274 ' organizing' 11\n62275 ' originally' 11\n62276 ' originated' 11\n62277 ' orthogonal' 11\n62278 ' orçamento' 11\n62279 ' oscillator' 11\n62280 ' outpatient' 11\n62281 ' outrageous' 11\n62282 ' overcoming' 11\n62283 ' overlooked' 11\n62284 ' overridden' 11\n62285 ' overriding' 11\n62286 ' overturned' 11\n62287 ' overweight' 11\n62288 ' pagination' 11\n62289 ' pancreatic' 11\n62290 ' paragraphs' 11\n62291 ' parameters' 11\n62292 ' parliament' 11\n62293 ' particular' 11\n62294 ' partitions' 11\n62295 ' passengers' 11\n62296 ' passionate' 11\n62297 ' pedestrian' 11\n62298 ' percentage' 11\n62299 ' percentile' 11\n62300 ' perception' 11\n62301 ' percussion' 11\n62302 ' perfection' 11\n62303 ' performers' 11\n62304 ' performing' 11\n62305 ' peripheral' 11\n62306 ' permission' 11\n62307 ' permitting' 11\n62308 ' persistent' 11\n62309 ' personally' 11\n62310 ' persuasive' 11\n62311 ' pertaining' 11\n62312 ' pesticides' 11\n62313 ' petitioner' 11\n62314 ' phenomenal' 11\n62315 ' phenomenon' 11\n62316 ' philosophy' 11\n62317 ' photograph' 11\n62318 ' physically' 11\n62319 ' physicians' 11\n62320 ' physicists' 11\n62321 ' physiology' 11\n62322 ' pioneering' 11\n62323 ' plaintiffs' 11\n62324 ' plantation' 11\n62325 ' playground' 11\n62326 ' población' 11\n62327 ' politician' 11\n62328 ' pollutants' 11\n62329 ' polynomial' 11\n62330 ' políticas' 11\n62331 ' popularity' 11\n62332 ' population' 11\n62333 ' positional' 11\n62334 ' positioned' 11\n62335 ' positively' 11\n62336 ' possessing' 11\n62337 ' possession' 11\n62338 ' postseason' 11\n62339 ' potentials' 11\n62340 ' practicing' 11\n62341 ' practition' 11\n62342 ' precaution' 11\n62343 ' precedence' 11\n62344 ' predefined' 11\n62345 ' predicates' 11\n62346 ' predicting' 11\n62347 ' prediction' 11\n62348 ' predictive' 11\n62349 ' predictors' 11\n62350 ' preferable' 11\n62351 ' preferably' 11\n62352 ' preference' 11\n62353 ' prescribed' 11\n62354 ' presenting' 11\n62355 ' preserving' 11\n62356 ' presidency' 11\n62357 ' presidente' 11\n62358 ' presidents' 11\n62359 ' presumably' 11\n62360 ' pretending' 11\n62361 ' pretrained' 11\n62362 ' prevailing' 11\n62363 ' prevalence' 11\n62364 ' preventing' 11\n62365 ' prevention' 11\n62366 ' preventive' 11\n62367 ' previously' 11\n62368 ' primitives' 11\n62369 ' primordial' 11\n62370 ' principles' 11\n62371 ' priorities' 11\n62372 ' privileged' 11\n62373 ' privileges' 11\n62374 ' problèmes' 11\n62375 ' procedural' 11\n62376 ' procedures' 11\n62377 ' proceeding' 11\n62378 ' processing' 11\n62379 ' procession' 11\n62380 ' processors' 11\n62381 ' proclaimed' 11\n62382 ' production' 11\n62383 ' productive' 11\n62384 ' produção' 11\n62385 ' profession' 11\n62386 ' professors' 11\n62387 ' profitable' 11\n62388 ' profoundly' 11\n62389 ' progenitor' 11\n62390 ' programmed' 11\n62391 ' programmer' 11\n62392 ' programmes' 11\n62393 ' progressed' 11\n62394 ' progresses' 11\n62395 ' prohibited' 11\n62396 ' projecting' 11\n62397 ' projection' 11\n62398 ' prominence' 11\n62399 ' promotions' 11\n62400 ' pronounced' 11\n62401 ' propaganda' 11\n62402 ' propagated' 11\n62403 ' propensity' 11\n62404 ' properties' 11\n62405 ' proportion' 11\n62406 ' prosecutor' 11\n62407 ' prosperity' 11\n62408 ' prosperous' 11\n62409 ' protecting' 11\n62410 ' protection' 11\n62411 ' protective' 11\n62412 ' protesters' 11\n62413 ' protesting' 11\n62414 ' prototypes' 11\n62415 ' provincial' 11\n62416 ' provisions' 11\n62417 ' président' 11\n62418 ' psychology' 11\n62419 ' publishers' 11\n62420 ' publishing' 11\n62421 ' punishment' 11\n62422 ' purchasing' 11\n62423 ' qualifying' 11\n62424 ' quantidade' 11\n62425 ' quantified' 11\n62426 ' quantities' 11\n62427 ' quarantine' 11\n62428 ' quaternion' 11\n62429 ' questioned' 11\n62430 ' randomized' 11\n62431 ' reasonable' 11\n62432 ' reasonably' 11\n62433 ' reassuring' 11\n62434 ' rebuilding' 11\n62435 ' recipients' 11\n62436 ' reciprocal' 11\n62437 ' recognised' 11\n62438 ' recognized' 11\n62439 ' recognizes' 11\n62440 ' recommends' 11\n62441 ' reconsider' 11\n62442 ' recordings' 11\n62443 ' recovering' 11\n62444 ' recreation' 11\n62445 ' recruiting' 11\n62446 ' rectangles' 11\n62447 ' recurrence' 11\n62448 ' redemption' 11\n62449 ' redirected' 11\n62450 ' reductions' 11\n62451 ' redundancy' 11\n62452 ' referenced' 11\n62453 ' references' 11\n62454 ' referendum' 11\n62455 ' refinement' 11\n62456 ' reflecting' 11\n62457 ' reflection' 11\n62458 ' reflective' 11\n62459 ' refractive' 11\n62460 ' refreshing' 11\n62461 ' regardless' 11\n62462 ' registered' 11\n62463 ' regression' 11\n62464 ' regulating' 11\n62465 ' regulation' 11\n62466 ' regulators' 11\n62467 ' regulatory' 11\n62468 ' reinforced' 11\n62469 ' reiterated' 11\n62470 ' relational' 11\n62471 ' relatively' 11\n62472 ' relatório' 11\n62473 ' relaxation' 11\n62474 ' relentless' 11\n62475 ' relocation' 11\n62476 ' reluctance' 11\n62477 ' remarkable' 11\n62478 ' remarkably' 11\n62479 ' remembered' 11\n62480 ' remodeling' 11\n62481 ' renovation' 11\n62482 ' repeatedly' 11\n62483 ' repertoire' 11\n62484 ' repetition' 11\n62485 ' repetitive' 11\n62486 ' replicated' 11\n62487 ' reportedly' 11\n62488 ' repository' 11\n62489 ' represents' 11\n62490 ' repression' 11\n62491 ' reproduced' 11\n62492 ' représent' 11\n62493 ' reputation' 11\n62494 ' requesting' 11\n62495 ' researched' 11\n62496 ' researcher' 11\n62497 ' resembling' 11\n62498 ' resentment' 11\n62499 ' resilience' 11\n62500 ' resistance' 11\n62501 ' resolution' 11\n62502 ' respectful' 11\n62503 ' respecting' 11\n62504 ' respective' 11\n62505 ' respondent' 11\n62506 ' responders' 11\n62507 ' responding' 11\n62508 ' responsive' 11\n62509 ' restaurant' 11\n62510 ' restrained' 11\n62511 ' restricted' 11\n62512 ' resultados' 11\n62513 ' retirement' 11\n62514 ' retrieving' 11\n62515 ' retrospect' 11\n62516 ' revelation' 11\n62517 ' reversible' 11\n62518 ' revolution' 11\n62519 ' ridiculous' 11\n62520 ' rotational' 11\n62521 ' résultats' 11\n62522 ' sacrificed' 11\n62523 ' sacrifices' 11\n62524 ' sandwiches' 11\n62525 ' sanitation' 11\n62526 ' satellites' 11\n62527 ' satisfying' 11\n62528 ' saturation' 11\n62529 ' scattering' 11\n62530 ' scheduling' 11\n62531 ' scientific' 11\n62532 ' scientists' 11\n62533 ' screenshot' 11\n62534 ' sculptures' 11\n62535 ' securities' 11\n62536 ' segregated' 11\n62537 ' segurança' 11\n62538 ' selections' 11\n62539 ' sensations' 11\n62540 ' sentencing' 11\n62541 ' sentiments' 11\n62542 ' separately' 11\n62543 ' separating' 11\n62544 ' separation' 11\n62545 ' sequencing' 11\n62546 ' sequential' 11\n62547 ' serialized' 11\n62548 ' serializer' 11\n62549 ' setTimeout' 11\n62550 ' settlement' 11\n62551 ' signalling' 11\n62552 ' signatures' 11\n62553 ' siguientes' 11\n62554 ' similarity' 11\n62555 ' simplicity' 11\n62556 ' simplified' 11\n62557 ' simulation' 11\n62558 ' situación' 11\n62559 ' situations' 11\n62560 ' situação' 11\n62561 ' skepticism' 11\n62562 ' smartphone' 11\n62563 ' solidarity' 11\n62564 ' soundtrack' 11\n62565 ' spacecraft' 11\n62566 ' specialist' 11\n62567 ' specifying' 11\n62568 ' spectators' 11\n62569 ' speculated' 11\n62570 ' stabilized' 11\n62571 ' staggering' 11\n62572 ' standalone' 11\n62573 ' standpoint' 11\n62574 ' starvation' 11\n62575 ' statements' 11\n62576 ' stationary' 11\n62577 ' statistics' 11\n62578 ' stimulated' 11\n62579 ' stimulates' 11\n62580 ' stochastic' 11\n62581 ' strategies' 11\n62582 ' strengthen' 11\n62583 ' stretching' 11\n62584 ' structural' 11\n62585 ' structured' 11\n62586 ' structures' 11\n62587 ' struggling' 11\n62588 ' stylesheet' 11\n62589 ' subclasses' 11\n62590 ' subjective' 11\n62591 ' submission' 11\n62592 ' submitting' 11\n62593 ' subprocess' 11\n62594 ' subscribed' 11\n62595 ' subscriber' 11\n62596 ' subsection' 11\n62597 ' subsequent' 11\n62598 ' subsidiary' 11\n62599 ' substances' 11\n62600 ' substitute' 11\n62601 ' substrates' 11\n62602 ' succeeding' 11\n62603 ' successful' 11\n62604 ' succession' 11\n62605 ' successive' 11\n62606 ' sufficient' 11\n62607 ' suggesting' 11\n62608 ' suggestion' 11\n62609 ' suggestive' 11\n62610 ' summarized' 11\n62611 ' summarizes' 11\n62612 ' supervised' 11\n62613 ' supervisor' 11\n62614 ' supplement' 11\n62615 ' supporters' 11\n62616 ' supporting' 11\n62617 ' supportive' 11\n62618 ' supposedly' 11\n62619 ' suppressed' 11\n62620 ' surprising' 11\n62621 ' surrounded' 11\n62622 ' suspension' 11\n62623 ' suspicions' 11\n62624 ' suspicious' 11\n62625 ' sustaining' 11\n62626 ' swallowing' 11\n62627 ' synonymous' 11\n62628 ' systematic' 11\n62629 ' sécurité' 11\n62630 ' sélection' 11\n62631 ' tablespoon' 11\n62632 ' technician' 11\n62633 ' techniques' 11\n62634 ' technology' 11\n62635 ' television' 11\n62636 ' temptation' 11\n62637 ' tendencies' 11\n62638 ' tensorflow' 11\n62639 ' terminated' 11\n62640 ' terrifying' 11\n62641 ' terrorists' 11\n62642 ' theatrical' 11\n62643 ' themselves' 11\n62644 ' therapists' 11\n62645 ' thereafter' 11\n62646 ' thoroughly' 11\n62647 ' thoughtful' 11\n62648 ' threatened' 11\n62649 ' thresholds' 11\n62650 ' throughout' 11\n62651 ' throughput' 11\n62652 ' touchdowns' 11\n62653 ' tournament' 11\n62654 ' trademarks' 11\n62655 ' traditions' 11\n62656 ' trajectory' 11\n62657 ' transcript' 11\n62658 ' transforms' 11\n62659 ' transistor' 11\n62660 ' transition' 11\n62661 ' translated' 11\n62662 ' translates' 11\n62663 ' translator' 11\n62664 ' transplant' 11\n62665 ' transports' 11\n62666 ' transverse' 11\n62667 ' travellers' 11\n62668 ' travelling' 11\n62669 ' treatments' 11\n62670 ' tremendous' 11\n62671 ' triangular' 11\n62672 ' triggering' 11\n62673 ' troisième' 11\n62674 ' turbulence' 11\n62675 ' ubiquitous' 11\n62676 ' ultimately' 11\n62677 ' ultrasound' 11\n62678 ' unaffected' 11\n62679 ' undergoing' 11\n62680 ' underlying' 11\n62681 ' underneath' 11\n62682 ' underscore' 11\n62683 ' understand' 11\n62684 ' understood' 11\n62685 ' undertaken' 11\n62686 ' underwater' 11\n62687 ' unemployed' 11\n62688 ' unexpected' 11\n62689 ' unfamiliar' 11\n62690 ' unfinished' 11\n62691 ' unilateral' 11\n62692 ' unintended' 11\n62693 ' uniqueness' 11\n62694 ' university' 11\n62695 ' unofficial' 11\n62696 ' unpleasant' 11\n62697 ' unreliable' 11\n62698 ' unresolved' 11\n62699 ' unsuitable' 11\n62700 ' unterstüt' 11\n62701 ' usefulness' 11\n62702 ' vaccinated' 11\n62703 ' validating' 11\n62704 ' validation' 11\n62705 ' variations' 11\n62706 ' vegetables' 11\n62707 ' vegetarian' 11\n62708 ' vegetation' 11\n62709 ' velocities' 11\n62710 ' vertically' 11\n62711 ' veterinary' 11\n62712 ' vibrations' 11\n62713 ' vigorously' 11\n62714 ' violations' 11\n62715 ' visibility' 11\n62716 ' vocabulary' 11\n62717 ' vocational' 11\n62718 ' volatility' 11\n62719 ' volunteers' 11\n62720 ' vulnerable' 11\n62721 ' véritable' 11\n62722 ' wastewater' 11\n62723 ' wavelength' 11\n62724 ' weaknesses' 11\n62725 ' whatsoever' 11\n62726 ' wheelchair' 11\n62727 ' whitespace' 11\n62728 ' widespread' 11\n62729 ' wilderness' 11\n62730 ' withdrawal' 11\n62731 ' witnessing' 11\n62732 ' województ' 11\n62733 ' workaround' 11\n62734 ' worthwhile' 11\n62735 ' wrongdoing' 11\n62736 ' yourselves' 11\n62737 ' également' 11\n62738 ' élections' 11\n62739 ' éléments' 11\n62740 ' Амери' 11\n62741 ' Архив' 11\n62742 ' Влади' 11\n62743 ' Герма' 11\n62744 ' Итали' 11\n62745 ' Между' 11\n62746 ' Мекси' 11\n62747 ' Михай' 11\n62748 ' Основ' 11\n62749 ' Отече' 11\n62750 ' Попис' 11\n62751 ' После' 11\n62752 ' Према' 11\n62753 ' Після' 11\n62754 ' Распо' 11\n62755 ' Росси' 11\n62756 ' Савез' 11\n62757 ' Санкт' 11\n62758 ' Север' 11\n62759 ' Совет' 11\n62760 ' Также' 11\n62761 ' Украи' 11\n62762 ' Украї' 11\n62763 ' автор' 11\n62764 ' акаде' 11\n62765 ' актив' 11\n62766 ' альбо' 11\n62767 ' армии' 11\n62768 ' благо' 11\n62769 ' более' 11\n62770 ' брига' 11\n62771 ' броја' 11\n62772 ' верну' 11\n62773 ' возра' 11\n62774 ' войны' 11\n62775 ' вопро' 11\n62776 ' восто' 11\n62777 ' време' 11\n62778 ' время' 11\n62779 ' всего' 11\n62780 ' встре' 11\n62781 ' выпол' 11\n62782 ' відбу' 11\n62783 ' війни' 11\n62784 ' війсь' 11\n62785 ' годах' 11\n62786 ' годов' 11\n62787 ' голов' 11\n62788 ' город' 11\n62789 ' грома' 11\n62790 ' губер' 11\n62791 ' дерев' 11\n62792 ' держа' 11\n62793 ' дости' 11\n62794 ' други' 11\n62795 ' друго' 11\n62796 ' желез' 11\n62797 ' женщи' 11\n62798 ' жизни' 11\n62799 ' журна' 11\n62800 ' завер' 11\n62801 ' запад' 11\n62802 ' заслу' 11\n62803 ' затем' 11\n62804 ' значи' 11\n62805 ' имеет' 11\n62806 ' имени' 11\n62807 ' интер' 11\n62808 ' искус' 11\n62809 ' испол' 11\n62810 ' класс' 11\n62811 ' когда' 11\n62812 ' колле' 11\n62813 ' коман' 11\n62814 ' комму' 11\n62815 ' компа' 11\n62816 ' конце' 11\n62817 ' копия' 11\n62818 ' кораб' 11\n62819 ' корпу' 11\n62820 ' котор' 11\n62821 ' липня' 11\n62822 ' листо' 11\n62823 ' людей' 11\n62824 ' людях' 11\n62825 ' марта' 11\n62826 ' между' 11\n62827 ' места' 11\n62828 ' место' 11\n62829 ' многи' 11\n62830 ' много' 11\n62831 ' может' 11\n62832 ' можно' 11\n62833 ' міста' 11\n62834 ' місце' 11\n62835 ' награ' 11\n62836 ' назва' 11\n62837 ' назна' 11\n62838 ' народ' 11\n62839 ' немец' 11\n62840 ' неско' 11\n62841 ' оборо' 11\n62842 ' образ' 11\n62843 ' объек' 11\n62844 ' одним' 11\n62845 ' одной' 11\n62846 ' около' 11\n62847 ' опера' 11\n62848 ' општи' 11\n62849 ' орган' 11\n62850 ' основ' 11\n62851 ' особи' 11\n62852 ' остан' 11\n62853 ' откры' 11\n62854 ' первы' 11\n62855 ' перед' 11\n62856 ' перио' 11\n62857 ' площа' 11\n62858 ' повер' 11\n62859 ' позво' 11\n62860 ' получ' 11\n62861 ' помощ' 11\n62862 ' после' 11\n62863 ' права' 11\n62864 ' прави' 11\n62865 ' право' 11\n62866 ' працю' 11\n62867 ' према' 11\n62868 ' приня' 11\n62869 ' прове' 11\n62870 ' прово' 11\n62871 ' прода' 11\n62872 ' проду' 11\n62873 ' проек' 11\n62874 ' произ' 11\n62875 ' проис' 11\n62876 ' проте' 11\n62877 ' проти' 11\n62878 ' проце' 11\n62879 ' публи' 11\n62880 ' пункт' 11\n62881 ' півні' 11\n62882 ' після' 11\n62883 ' работ' 11\n62884 ' разви' 11\n62885 ' разли' 11\n62886 ' район' 11\n62887 ' распо' 11\n62888 ' розта' 11\n62889 ' роках' 11\n62890 ' років' 11\n62891 ' роман' 11\n62892 ' савез' 11\n62893 ' сайте' 11\n62894 ' сайті' 11\n62895 ' свобо' 11\n62896 ' своей' 11\n62897 ' своих' 11\n62898 ' связи' 11\n62899 ' север' 11\n62900 ' секре' 11\n62901 ' семей' 11\n62902 ' серед' 11\n62903 ' систе' 11\n62904 ' следу' 11\n62905 ' слова' 11\n62906 ' случа' 11\n62907 ' совер' 11\n62908 ' совет' 11\n62909 ' созда' 11\n62910 ' соста' 11\n62911 ' сохра' 11\n62912 ' среди' 11\n62913 ' стала' 11\n62914 ' стали' 11\n62915 ' старо' 11\n62916 ' стату' 11\n62917 ' стать' 11\n62918 ' столі' 11\n62919 ' сторо' 11\n62920 ' строи' 11\n62921 ' строк' 11\n62922 ' струк' 11\n62923 ' счита' 11\n62924 ' січня' 11\n62925 ' также' 11\n62926 ' також' 11\n62927 ' такой' 11\n62928 ' тради' 11\n62929 ' турни' 11\n62930 ' управ' 11\n62931 ' участ' 11\n62932 ' февра' 11\n62933 ' футбо' 11\n62934 ' харак' 11\n62935 ' хозяй' 11\n62936 ' худож' 11\n62937 ' центр' 11\n62938 ' цього' 11\n62939 ' части' 11\n62940 ' часто' 11\n62941 ' часть' 11\n62942 ' челов' 11\n62943 ' чемпи' 11\n62944 ' чемпі' 11\n62945 ' через' 11\n62946 ' честь' 11\n62947 ' числе' 11\n62948 ' число' 11\n62949 ' чтобы' 11\n62950 ' школа' 11\n62951 ' эконо' 11\n62952 ' элект' 11\n62953 ' этого' 11\n62954 ' інших' 11\n62955 '-----------' 11\n62956 '===========' 11\n62957 'Accordingly' 11\n62958 'Alternative' 11\n62959 'Annotations' 11\n62960 'Application' 11\n62961 'Association' 11\n62962 'Certificate' 11\n62963 'Christopher' 11\n62964 'ClassLoader' 11\n62965 'Collections' 11\n62966 'Composition' 11\n62967 'Compression' 11\n62968 'Conditional' 11\n62969 'Connections' 11\n62970 'Considering' 11\n62971 'Constraints' 11\n62972 'Constructor' 11\n62973 'ContentType' 11\n62974 'ContentView' 11\n62975 'ContextMenu' 11\n62976 'Coordinates' 11\n62977 'Credentials' 11\n62978 'DESCRIPTION' 11\n62979 'Declaration' 11\n62980 'Definitions' 11\n62981 'Description' 11\n62982 'Destination' 11\n62983 'Development' 11\n62984 'Environment' 11\n62985 'FilterChain' 11\n62986 'Fortunately' 11\n62987 'Furthermore' 11\n62988 'HttpRequest' 11\n62989 'IOException' 11\n62990 'Implemented' 11\n62991 'Independent' 11\n62992 'Information' 11\n62993 'InputStream' 11\n62994 'Instruction' 11\n62995 'Integration' 11\n62996 'Interaction' 11\n62997 'Interactive' 11\n62998 'Interceptor' 11\n62999 'Orientation' 11\n63000 'OwnProperty' 11\n63001 'Performance' 11\n63002 'Permissions' 11\n63003 'Placeholder' 11\n63004 'Preferences' 11\n63005 'ProgressBar' 11\n63006 'Propagation' 11\n63007 'Publication' 11\n63008 'RadioButton' 11\n63009 'Recognition' 11\n63010 'Recommended' 11\n63011 'Temperature' 11\n63012 'Transaction' 11\n63013 'Transformer' 11\n63014 'Translation' 11\n63015 'UITableView' 11\n63016 'Unsupported' 11\n63017 'VERTISEMENT' 11\n63018 'alternative' 11\n63019 'ambiguation' 11\n63020 'amphetamine' 11\n63021 'annotations' 11\n63022 'appendChild' 11\n63023 'application' 11\n63024 'appropriate' 11\n63025 'assertEqual' 11\n63026 'assertFalse' 11\n63027 'association' 11\n63028 'atisfaction' 11\n63029 'attachments' 11\n63030 'calculation' 11\n63031 'categorical' 11\n63032 'certificate' 11\n63033 'classmethod' 11\n63034 'coefficient' 11\n63035 'collections' 11\n63036 'combination' 11\n63037 'composition' 11\n63038 'compression' 11\n63039 'computation' 11\n63040 'concatenate' 11\n63041 'conditional' 11\n63042 'connections' 11\n63043 'constrained' 11\n63044 'constraints' 11\n63045 'constructor' 11\n63046 'continental' 11\n63047 'convergence' 11\n63048 'convolution' 11\n63049 'coordinates' 11\n63050 'correlation' 11\n63051 'credentials' 11\n63052 'declaration' 11\n63053 'description' 11\n63054 'deserialize' 11\n63055 'destination' 11\n63056 'development' 11\n63057 'dimensional' 11\n63058 'distributed' 11\n63059 'engineering' 11\n63060 'environment' 11\n63061 'established' 11\n63062 'fortunately' 11\n63063 'getInstance' 11\n63064 'getProperty' 11\n63065 'ictionaries' 11\n63066 'implemented' 11\n63067 'independent' 11\n63068 'informatics' 11\n63069 'information' 11\n63070 'initialized' 11\n63071 'initializer' 11\n63072 'institution' 11\n63073 'instruction' 11\n63074 'integration' 11\n63075 'interaction' 11\n63076 'interactive' 11\n63077 'interesting' 11\n63078 'istribution' 11\n63079 'measurement' 11\n63080 'observation' 11\n63081 'orientation' 11\n63082 'otechnology' 11\n63083 'performance' 11\n63084 'permissions' 11\n63085 'persistence' 11\n63086 'placeholder' 11\n63087 'precedented' 11\n63088 'predictions' 11\n63089 'preferences' 11\n63090 'probability' 11\n63091 'programming' 11\n63092 'publication' 11\n63093 'ratulations' 11\n63094 'removeClass' 11\n63095 'replacement' 11\n63096 'represented' 11\n63097 'restriction' 11\n63098 'schließend' 11\n63099 'sendMessage' 11\n63100 'setProperty' 11\n63101 'significant' 11\n63102 'sourceforge' 11\n63103 'structuring' 11\n63104 'temperature' 11\n63105 'termination' 11\n63106 'threatening' 11\n63107 'tikzpicture' 11\n63108 'toLowerCase' 11\n63109 'traditional' 11\n63110 'transaction' 11\n63111 'transformed' 11\n63112 'translation' 11\n63113 'transparent' 11\n63114 'uncertainty' 11\n63115 'université' 11\n63116 'unsubscribe' 11\n63117 'usercontent' 11\n63118 'vertisement' 11\n63119 'édération' 11\n63120 'öffentlich' 11\n63121 '\\n\\n          ' 12\n63122 '\\n           ' 12\n63123 '            ' 12\n63124 ' -----------' 12\n63125 ' Accordingly' 12\n63126 ' Achievement' 12\n63127 ' Acquisition' 12\n63128 ' Afghanistan' 12\n63129 ' Agriculture' 12\n63130 ' Alternative' 12\n63131 ' Application' 12\n63132 ' Association' 12\n63133 ' Attribution' 12\n63134 ' Australians' 12\n63135 ' Brotherhood' 12\n63136 ' Certificate' 12\n63137 ' Christopher' 12\n63138 ' Collections' 12\n63139 ' Comissário' 12\n63140 ' Competition' 12\n63141 ' Composition' 12\n63142 ' Conditional' 12\n63143 ' Confederate' 12\n63144 ' Congressman' 12\n63145 ' Connecticut' 12\n63146 ' Considering' 12\n63147 ' Constructor' 12\n63148 ' Continental' 12\n63149 ' Cooperation' 12\n63150 ' Corinthians' 12\n63151 ' Coronavirus' 12\n63152 ' Corporation' 12\n63153 ' Declaration' 12\n63154 ' Description' 12\n63155 ' Destination' 12\n63156 ' Deutschland' 12\n63157 ' Development' 12\n63158 ' Differences' 12\n63159 ' Distributed' 12\n63160 ' Düsseldorf' 12\n63161 ' Educational' 12\n63162 ' Electronics' 12\n63163 ' Enforcement' 12\n63164 ' Engineering' 12\n63165 ' Enterprises' 12\n63166 ' Environment' 12\n63167 ' Essentially' 12\n63168 ' Examination' 12\n63169 ' Experiments' 12\n63170 ' Exploration' 12\n63171 ' Fortunately' 12\n63172 ' Fundamental' 12\n63173 ' Furthermore' 12\n63174 ' Géographie' 12\n63175 ' Hamiltonian' 12\n63176 ' IEnumerable' 12\n63177 ' IOException' 12\n63178 ' Immediately' 12\n63179 ' Immigration' 12\n63180 ' Improvement' 12\n63181 ' Independent' 12\n63182 ' Individuals' 12\n63183 ' Information' 12\n63184 ' Institution' 12\n63185 ' Instruction' 12\n63186 ' Instruments' 12\n63187 ' Integration' 12\n63188 ' Interaction' 12\n63189 ' Interactive' 12\n63190 ' Legislative' 12\n63191 ' Legislature' 12\n63192 ' Maintenance' 12\n63193 ' Mathematics' 12\n63194 ' Measurement' 12\n63195 ' Ministério' 12\n63196 ' Minneapolis' 12\n63197 ' Mississippi' 12\n63198 ' Netherlands' 12\n63199 ' Nonetheless' 12\n63200 ' Observation' 12\n63201 ' Observatory' 12\n63202 ' Opportunity' 12\n63203 ' Palestinian' 12\n63204 ' Partnership' 12\n63205 ' Performance' 12\n63206 ' Perspective' 12\n63207 ' Philippines' 12\n63208 ' Photography' 12\n63209 ' PlayStation' 12\n63210 ' Preferences' 12\n63211 ' Probability' 12\n63212 ' Proceedings' 12\n63213 ' Productions' 12\n63214 ' Programming' 12\n63215 ' Progressive' 12\n63216 ' Proposition' 12\n63217 ' Publication' 12\n63218 ' Recognition' 12\n63219 ' Regulations' 12\n63220 ' Renaissance' 12\n63221 ' Republicans' 12\n63222 ' Researchers' 12\n63223 ' Référence' 12\n63224 ' République' 12\n63225 ' Scientology' 12\n63226 ' Shakespeare' 12\n63227 ' Significant' 12\n63228 ' Southampton' 12\n63229 ' Springfield' 12\n63230 ' Statistical' 12\n63231 ' Sustainable' 12\n63232 ' Switzerland' 12\n63233 ' Temperature' 12\n63234 ' Territories' 12\n63235 ' Traditional' 12\n63236 ' Transaction' 12\n63237 ' Transformer' 12\n63238 ' Translation' 12\n63239 ' UITableView' 12\n63240 ' Underground' 12\n63241 ' Universidad' 12\n63242 ' Unsupported' 12\n63243 ' Westminster' 12\n63244 ' abbreviated' 12\n63245 ' abstraction' 12\n63246 ' accelerated' 12\n63247 ' accelerator' 12\n63248 ' accessories' 12\n63249 ' accommodate' 12\n63250 ' accompanied' 12\n63251 ' accompanies' 12\n63252 ' accordingly' 12\n63253 ' accountable' 12\n63254 ' accumulated' 12\n63255 ' accusations' 12\n63256 ' achievement' 12\n63257 ' acknowledge' 12\n63258 ' acquisition' 12\n63259 ' activations' 12\n63260 ' acupuncture' 12\n63261 ' adaptations' 12\n63262 ' adjustments' 12\n63263 ' adolescence' 12\n63264 ' adolescents' 12\n63265 ' advancement' 12\n63266 ' adventurous' 12\n63267 ' advertisers' 12\n63268 ' advertising' 12\n63269 ' affiliation' 12\n63270 ' affirmative' 12\n63271 ' aggregation' 12\n63272 ' agriculture' 12\n63273 ' allegations' 12\n63274 ' allocations' 12\n63275 ' alterations' 12\n63276 ' alternating' 12\n63277 ' alternative' 12\n63278 ' américaine' 12\n63279 ' anniversary' 12\n63280 ' annotations' 12\n63281 ' antibiotics' 12\n63282 ' anticipated' 12\n63283 ' antidepress' 12\n63284 ' antioxidant' 12\n63285 ' aplicación' 12\n63286 ' appearances' 12\n63287 ' application' 12\n63288 ' appointment' 12\n63289 ' appreciated' 12\n63290 ' approaching' 12\n63291 ' appropriate' 12\n63292 ' approximate' 12\n63293 ' arbitrarily' 12\n63294 ' arbitration' 12\n63295 ' archiválva' 12\n63296 ' arrangement' 12\n63297 ' articulated' 12\n63298 ' aspirations' 12\n63299 ' assessments' 12\n63300 ' assignments' 12\n63301 ' association' 12\n63302 ' associative' 12\n63303 ' assumptions' 12\n63304 ' astonishing' 12\n63305 ' atmospheric' 12\n63306 ' attachments' 12\n63307 ' attenuation' 12\n63308 ' attractions' 12\n63309 ' attribution' 12\n63310 ' authorities' 12\n63311 ' automobiles' 12\n63312 ' backgrounds' 12\n63313 ' battlefield' 12\n63314 ' beautifully' 12\n63315 ' behavioural' 12\n63316 ' beneficiary' 12\n63317 ' billionaire' 12\n63318 ' biochemical' 12\n63319 ' bureaucracy' 12\n63320 ' businessman' 12\n63321 ' calculating' 12\n63322 ' calculation' 12\n63323 ' calibration' 12\n63324 ' campaigning' 12\n63325 ' catastrophe' 12\n63326 ' categorical' 12\n63327 ' categorized' 12\n63328 ' celebrating' 12\n63329 ' celebration' 12\n63330 ' celebrities' 12\n63331 ' centralized' 12\n63332 ' certificate' 12\n63333 ' challenging' 12\n63334 ' checkpoints' 12\n63335 ' cholesterol' 12\n63336 ' chromosomes' 12\n63337 ' circulating' 12\n63338 ' circulation' 12\n63339 ' citizenship' 12\n63340 ' classifiers' 12\n63341 ' coefficient' 12\n63342 ' coincidence' 12\n63343 ' collaborate' 12\n63344 ' collections' 12\n63345 ' combination' 12\n63346 ' comfortable' 12\n63347 ' comfortably' 12\n63348 ' commentator' 12\n63349 ' commercials' 12\n63350 ' commissions' 12\n63351 ' commitments' 12\n63352 ' commodities' 12\n63353 ' communauté' 12\n63354 ' communicate' 12\n63355 ' communities' 12\n63356 ' commutative' 12\n63357 ' comparative' 12\n63358 ' comparisons' 12\n63359 ' compartment' 12\n63360 ' compensated' 12\n63361 ' competition' 12\n63362 ' competitive' 12\n63363 ' competitors' 12\n63364 ' compilation' 12\n63365 ' complaining' 12\n63366 ' complicated' 12\n63367 ' composition' 12\n63368 ' compression' 12\n63369 ' compromised' 12\n63370 ' computation' 12\n63371 ' concatenate' 12\n63372 ' conceivable' 12\n63373 ' concentrate' 12\n63374 ' concessions' 12\n63375 ' conclusions' 12\n63376 ' conditional' 12\n63377 ' conditioned' 12\n63378 ' condições' 12\n63379 ' conferences' 12\n63380 ' confinement' 12\n63381 ' conflicting' 12\n63382 ' confronting' 12\n63383 ' conjunction' 12\n63384 ' connections' 12\n63385 ' consciously' 12\n63386 ' consectetur' 12\n63387 ' consecutive' 12\n63388 ' consequence' 12\n63389 ' considering' 12\n63390 ' consistency' 12\n63391 ' conspicuous' 12\n63392 ' constituent' 12\n63393 ' constituted' 12\n63394 ' constitutes' 12\n63395 ' constrained' 12\n63396 ' constraints' 12\n63397 ' constructed' 12\n63398 ' constructor' 12\n63399 ' consultants' 12\n63400 ' consumption' 12\n63401 ' containment' 12\n63402 ' continental' 12\n63403 ' contingency' 12\n63404 ' continually' 12\n63405 ' contracting' 12\n63406 ' contraction' 12\n63407 ' contractors' 12\n63408 ' contractual' 12\n63409 ' contrasting' 12\n63410 ' contributed' 12\n63411 ' contributes' 12\n63412 ' contributor' 12\n63413 ' controllers' 12\n63414 ' controlling' 12\n63415 ' controversy' 12\n63416 ' convenience' 12\n63417 ' conventions' 12\n63418 ' convergence' 12\n63419 ' conversions' 12\n63420 ' convictions' 12\n63421 ' convolution' 12\n63422 ' cooperation' 12\n63423 ' cooperative' 12\n63424 ' coordinated' 12\n63425 ' coordinates' 12\n63426 ' coordinator' 12\n63427 ' copyrighted' 12\n63428 ' coronavirus' 12\n63429 ' corporation' 12\n63430 ' corrections' 12\n63431 ' correctness' 12\n63432 ' correlation' 12\n63433 ' corresponds' 12\n63434 ' counselling' 12\n63435 ' counterpart' 12\n63436 ' countryside' 12\n63437 ' credentials' 12\n63438 ' credibility' 12\n63439 ' crystalline' 12\n63440 ' cultivation' 12\n63441 ' cylindrical' 12\n63442 ' declaration' 12\n63443 ' decorations' 12\n63444 ' definitions' 12\n63445 ' deformation' 12\n63446 ' degradation' 12\n63447 ' dehydration' 12\n63448 ' demographic' 12\n63449 ' demonstrate' 12\n63450 ' denominator' 12\n63451 ' departments' 12\n63452 ' deportation' 12\n63453 ' deprivation' 12\n63454 ' derivatives' 12\n63455 ' descendants' 12\n63456 ' description' 12\n63457 ' descriptive' 12\n63458 ' descriptors' 12\n63459 ' deserialize' 12\n63460 ' designation' 12\n63461 ' desperately' 12\n63462 ' destination' 12\n63463 ' destruction' 12\n63464 ' destructive' 12\n63465 ' determinant' 12\n63466 ' determining' 12\n63467 ' detrimental' 12\n63468 ' devastating' 12\n63469 ' development' 12\n63470 ' diagnostics' 12\n63471 ' differences' 12\n63472 ' differently' 12\n63473 ' diffraction' 12\n63474 ' différents' 12\n63475 ' dimensional' 12\n63476 ' diminishing' 12\n63477 ' directional' 12\n63478 ' directories' 12\n63479 ' disappeared' 12\n63480 ' disciplined' 12\n63481 ' disciplines' 12\n63482 ' disclosures' 12\n63483 ' discouraged' 12\n63484 ' discoveries' 12\n63485 ' discovering' 12\n63486 ' discrepancy' 12\n63487 ' discussions' 12\n63488 ' disparities' 12\n63489 ' disposition' 12\n63490 ' dissolution' 12\n63491 ' distinction' 12\n63492 ' distinctive' 12\n63493 ' distinguish' 12\n63494 ' distraction' 12\n63495 ' distributed' 12\n63496 ' distributor' 12\n63497 ' disturbance' 12\n63498 ' documentary' 12\n63499 ' documenting' 12\n63500 ' downloading' 12\n63501 ' drastically' 12\n63502 ' duplication' 12\n63503 ' dynamically' 12\n63504 ' dysfunction' 12\n63505 ' earthquakes' 12\n63506 ' educational' 12\n63507 ' effectively' 12\n63508 ' efficiently' 12\n63509 ' eigenvalues' 12\n63510 ' electricity' 12\n63511 ' electronics' 12\n63512 ' eligibility' 12\n63513 ' eliminating' 12\n63514 ' elimination' 12\n63515 ' embarrassed' 12\n63516 ' embodiments' 12\n63517 ' emergencies' 12\n63518 ' emotionally' 12\n63519 ' emphasizing' 12\n63520 ' empowerment' 12\n63521 ' encompasses' 12\n63522 ' encountered' 12\n63523 ' encouraging' 12\n63524 ' endorsement' 12\n63525 ' endothelial' 12\n63526 ' enforcement' 12\n63527 ' engagements' 12\n63528 ' engineering' 12\n63529 ' enhancement' 12\n63530 ' enlargement' 12\n63531 ' enterprises' 12\n63532 ' entertained' 12\n63533 ' enthusiasts' 12\n63534 ' entitlement' 12\n63535 ' enumeration' 12\n63536 ' environment' 12\n63537 ' equilibrium' 12\n63538 ' equivalence' 12\n63539 ' equivalents' 12\n63540 ' eredetiből' 12\n63541 ' essentially' 12\n63542 ' established' 12\n63543 ' establishes' 12\n63544 ' européenne' 12\n63545 ' evaluations' 12\n63546 ' evangelical' 12\n63547 ' exacerbated' 12\n63548 ' exaggerated' 12\n63549 ' examination' 12\n63550 ' exceptional' 12\n63551 ' excessively' 12\n63552 ' exclusively' 12\n63553 ' exhibitions' 12\n63554 ' existential' 12\n63555 ' expectation' 12\n63556 ' expenditure' 12\n63557 ' experienced' 12\n63558 ' experiences' 12\n63559 ' experiments' 12\n63560 ' explanation' 12\n63561 ' explanatory' 12\n63562 ' exploration' 12\n63563 ' exponential' 12\n63564 ' expressions' 12\n63565 ' expérience' 12\n63566 ' extensively' 12\n63567 ' fabrication' 12\n63568 ' facilitated' 12\n63569 ' facilitates' 12\n63570 ' familiarity' 12\n63571 ' fascinating' 12\n63572 ' fashionable' 12\n63573 ' feasibility' 12\n63574 ' financially' 12\n63575 ' fingerprint' 12\n63576 ' flexibility' 12\n63577 ' fluorescent' 12\n63578 ' foreclosure' 12\n63579 ' foreseeable' 12\n63580 ' forgiveness' 12\n63581 ' formulation' 12\n63582 ' forthcoming' 12\n63583 ' foundations' 12\n63584 ' frequencies' 12\n63585 ' friendships' 12\n63586 ' frightening' 12\n63587 ' frustrating' 12\n63588 ' frustration' 12\n63589 ' fulfillment' 12\n63590 ' functioning' 12\n63591 ' fundamental' 12\n63592 ' fundraising' 12\n63593 ' furthermore' 12\n63594 ' generalized' 12\n63595 ' generations' 12\n63596 ' genetically' 12\n63597 ' governments' 12\n63598 ' grandfather' 12\n63599 ' grandmother' 12\n63600 ' groundwater' 12\n63601 ' helicopters' 12\n63602 ' highlighted' 12\n63603 ' homogeneous' 12\n63604 ' hospitality' 12\n63605 ' humiliation' 12\n63606 ' identifiers' 12\n63607 ' identifying' 12\n63608 ' ideological' 12\n63609 ' illuminated' 12\n63610 ' illustrated' 12\n63611 ' illustrates' 12\n63612 ' imagination' 12\n63613 ' immediately' 12\n63614 ' immigration' 12\n63615 ' impeachment' 12\n63616 ' implemented' 12\n63617 ' implication' 12\n63618 ' importantes' 12\n63619 ' importantly' 12\n63620 ' impressions' 12\n63621 ' improvement' 12\n63622 ' inclination' 12\n63623 ' incorporate' 12\n63624 ' incorrectly' 12\n63625 ' incremental' 12\n63626 ' indentation' 12\n63627 ' independent' 12\n63628 ' indications' 12\n63629 ' indifferent' 12\n63630 ' individuals' 12\n63631 ' ineffective' 12\n63632 ' inefficient' 12\n63633 ' inexpensive' 12\n63634 ' infertility' 12\n63635 ' influencing' 12\n63636 ' influential' 12\n63637 ' information' 12\n63638 ' informative' 12\n63639 ' ingredients' 12\n63640 ' inhabitants' 12\n63641 ' inheritance' 12\n63642 ' initialized' 12\n63643 ' initializer' 12\n63644 ' initiatives' 12\n63645 ' innovations' 12\n63646 ' inscription' 12\n63647 ' insensitive' 12\n63648 ' inspections' 12\n63649 ' inspiration' 12\n63650 ' instability' 12\n63651 ' installment' 12\n63652 ' instantiate' 12\n63653 ' institution' 12\n63654 ' instruction' 12\n63655 ' instructors' 12\n63656 ' instruments' 12\n63657 ' integrating' 12\n63658 ' integration' 12\n63659 ' intelligent' 12\n63660 ' intensified' 12\n63661 ' intentional' 12\n63662 ' interacting' 12\n63663 ' interaction' 12\n63664 ' interactive' 12\n63665 ' interchange' 12\n63666 ' intercourse' 12\n63667 ' interesting' 12\n63668 ' interfering' 12\n63669 ' interpolate' 12\n63670 ' interpreted' 12\n63671 ' interpreter' 12\n63672 ' interrupted' 12\n63673 ' intervening' 12\n63674 ' interviewed' 12\n63675 ' intolerance' 12\n63676 ' introducing' 12\n63677 ' investigate' 12\n63678 ' investments' 12\n63679 ' involuntary' 12\n63680 ' involvement' 12\n63681 ' irradiation' 12\n63682 ' irreducible' 12\n63683 ' isomorphism' 12\n63684 ' journalists' 12\n63685 ' legislation' 12\n63686 ' legislative' 12\n63687 ' legislators' 12\n63688 ' legislature' 12\n63689 ' liabilities' 12\n63690 ' libertarian' 12\n63691 ' lightweight' 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13\n64464 ' introduction' 13\n64465 ' introductory' 13\n64466 ' investigated' 13\n64467 ' investigator' 13\n64468 ' irrespective' 13\n64469 ' irreversible' 13\n64470 ' jurisdiction' 13\n64471 ' laboratories' 13\n64472 ' littérature' 13\n64473 ' localization' 13\n64474 ' longitudinal' 13\n64475 ' malnutrition' 13\n64476 ' manipulating' 13\n64477 ' manipulation' 13\n64478 ' manslaughter' 13\n64479 ' manufactured' 13\n64480 ' manufacturer' 13\n64481 ' mathematical' 13\n64482 ' measurements' 13\n64483 ' mechanically' 13\n64484 ' metropolitan' 13\n64485 ' milliseconds' 13\n64486 ' modification' 13\n64487 ' motivational' 13\n64488 ' municipality' 13\n64489 ' negotiations' 13\n64490 ' neighborhood' 13\n64491 ' neighbouring' 13\n64492 ' neurological' 13\n64493 ' nevertheless' 13\n64494 ' notification' 13\n64495 ' observations' 13\n64496 ' occasionally' 13\n64497 ' occupational' 13\n64498 ' optimization' 13\n64499 ' organisation' 13\n64500 ' organization' 13\n64501 ' orientations' 13\n64502 ' 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13\n64541 ' questionable' 13\n64542 ' recognizable' 13\n64543 ' recommending' 13\n64544 ' recreational' 13\n64545 ' redistribute' 13\n64546 ' refrigerator' 13\n64547 ' regeneration' 13\n64548 ' registration' 13\n64549 ' relationship' 13\n64550 ' replacements' 13\n64551 ' repositories' 13\n64552 ' representing' 13\n64553 ' reproduction' 13\n64554 ' reproductive' 13\n64555 ' requirements' 13\n64556 ' reservations' 13\n64557 ' respectively' 13\n64558 ' restrictions' 13\n64559 ' resurrection' 13\n64560 ' références' 13\n64561 ' satisfaction' 13\n64562 ' satisfactory' 13\n64563 ' schließlich' 13\n64564 ' segmentation' 13\n64565 ' sequentially' 13\n64566 ' shareholders' 13\n64567 ' shortcomings' 13\n64568 ' significance' 13\n64569 ' similarities' 13\n64570 ' simultaneous' 13\n64571 ' specifically' 13\n64572 ' spectroscopy' 13\n64573 ' spirituality' 13\n64574 ' spokesperson' 13\n64575 ' stakeholders' 13\n64576 ' standardized' 13\n64577 ' storytelling' 13\n64578 ' strengthened' 13\n64579 ' subscription' 13\n64580 ' subsequently' 13\n64581 ' substitution' 13\n64582 ' successfully' 13\n64583 ' sufficiently' 13\n64584 ' supernatural' 13\n64585 ' supplemental' 13\n64586 ' supplemented' 13\n64587 ' surprisingly' 13\n64588 ' surroundings' 13\n64589 ' surveillance' 13\n64590 ' synchronized' 13\n64591 ' technologies' 13\n64592 ' temperatures' 13\n64593 ' testosterone' 13\n64594 ' trajectories' 13\n64595 ' transactions' 13\n64596 ' transferring' 13\n64597 ' transformers' 13\n64598 ' transforming' 13\n64599 ' transitional' 13\n64600 ' translations' 13\n64601 ' transmission' 13\n64602 ' transmitting' 13\n64603 ' transparency' 13\n64604 ' transporting' 13\n64605 ' tuberculosis' 13\n64606 ' unacceptable' 13\n64607 ' unauthorized' 13\n64608 ' unbelievable' 13\n64609 ' undocumented' 13\n64610 ' unemployment' 13\n64611 ' unexpectedly' 13\n64612 ' unidentified' 13\n64613 ' universities' 13\n64614 ' unreasonable' 13\n64615 ' unrestricted' 13\n64616 ' unsuccessful' 13\n64617 ' verification' 13\n64618 ' Василь' 13\n64619 ' Верхов' 13\n64620 ' Москва' 13\n64621 ' Москов' 13\n64622 ' Насеље' 13\n64623 ' Никола' 13\n64624 ' Однако' 13\n64625 ' России' 13\n64626 ' Список' 13\n64627 ' Ссылки' 13\n64628 ' Станов' 13\n64629 ' Федера' 13\n64630 ' автомо' 13\n64631 ' англий' 13\n64632 ' апреля' 13\n64633 ' британ' 13\n64634 ' викори' 13\n64635 ' висини' 13\n64636 ' включа' 13\n64637 ' власти' 13\n64638 ' вместе' 13\n64639 ' возмож' 13\n64640 ' второй' 13\n64641 ' година' 13\n64642 ' године' 13\n64643 ' города' 13\n64644 ' городе' 13\n64645 ' грудня' 13\n64646 ' группы' 13\n64647 ' данным' 13\n64648 ' депута' 13\n64649 ' держав' 13\n64650 ' дивизи' 13\n64651 ' државе' 13\n64652 ' држави' 13\n64653 ' другие' 13\n64654 ' других' 13\n64655 ' живело' 13\n64656 ' жовтня' 13\n64657 ' занима' 13\n64658 ' извест' 13\n64659 ' исполь' 13\n64660 ' истори' 13\n64661 ' квітня' 13\n64662 ' контра' 13\n64663 ' контро' 13\n64664 ' которы' 13\n64665 ' литера' 13\n64666 ' лютого' 13\n64667 ' матери' 13\n64668 ' надмор' 13\n64669 ' называ' 13\n64670 ' налази' 13\n64671 ' написа' 13\n64672 ' направ' 13\n64673 ' насеља' 13\n64674 ' насеље' 13\n64675 ' насељу' 13\n64676 ' настоя' 13\n64677 ' находи' 13\n64678 ' начале' 13\n64679 ' началь' 13\n64680 ' ноября' 13\n64681 ' однако' 13\n64682 ' одного' 13\n64683 ' оконча' 13\n64684 ' округа' 13\n64685 ' округу' 13\n64686 ' опреде' 13\n64687 ' органи' 13\n64688 ' органі' 13\n64689 ' основа' 13\n64690 ' остров' 13\n64691 ' относи' 13\n64692 ' отправ' 13\n64693 ' отрима' 13\n64694 ' первый' 13\n64695 ' переда' 13\n64696 ' период' 13\n64697 ' поддер' 13\n64698 ' показа' 13\n64699 ' полови' 13\n64700 ' получи' 13\n64701 ' пописа' 13\n64702 ' послед' 13\n64703 ' постро' 13\n64704 ' призна' 13\n64705 ' пробле' 13\n64706 ' програ' 13\n64707 ' продол' 13\n64708 ' против' 13\n64709 ' профес' 13\n64710 ' півден' 13\n64711 ' работа' 13\n64712 ' работы' 13\n64713 ' района' 13\n64714 ' районе' 13\n64715 ' району' 13\n64716 ' револю' 13\n64717 ' розташ' 13\n64718 ' россий' 13\n64719 ' руково' 13\n64720 ' своего' 13\n64721 ' северо' 13\n64722 ' серпня' 13\n64723 ' систем' 13\n64724 ' складу' 13\n64725 ' складі' 13\n64726 ' состав' 13\n64727 ' состоя' 13\n64728 ' сотруд' 13\n64729 ' список' 13\n64730 ' способ' 13\n64731 ' станов' 13\n64732 ' статьи' 13\n64733 ' страны' 13\n64734 ' театра' 13\n64735 ' только' 13\n64736 ' травня' 13\n64737 ' україн' 13\n64738 ' участи' 13\n64739 ' факуль' 13\n64740 ' фамили' 13\n64741 ' францу' 13\n64742 ' центра' 13\n64743 ' церкви' 13\n64744 ' церков' 13\n64745 ' челове' 13\n64746 ' червня' 13\n64747 ' чолові' 13\n64748 ' января' 13\n64749 ' ����' 13\n64750 '-------------' 13\n64751 '=============' 13\n64752 'ADVERTISEMENT' 13\n64753 'Advertisement' 13\n64754 'Alternatively' 13\n64755 'Authorization' 13\n64756 'ClickListener' 13\n64757 'Configuration' 13\n64758 'EventListener' 13\n64759 'Hozzáférés' 13\n64760 'InstanceState' 13\n64761 'Interestingly' 13\n64762 'International' 13\n64763 'Serialization' 13\n64764 'Supplementary' 13\n64765 'Unfortunately' 13\n64766 'approximately' 13\n64767 'authorization' 13\n64768 'communication' 13\n64769 'configuration' 13\n64770 'createElement' 13\n64771 'decomposition' 13\n64772 'deterministic' 13\n64773 'documentation' 13\n64774 'documentclass' 13\n64775 'getElementsBy' 13\n64776 'international' 13\n64777 'normalization' 13\n64778 'querySelector' 13\n64779 'rinningsområ' 13\n64780 'stackoverflow' 13\n64781 '\\n\\n            ' 14\n64782 '\\n             ' 14\n64783 '              ' 14\n64784 ' -------------' 14\n64785 ' Administrator' 14\n64786 ' Alternatively' 14\n64787 ' Approximately' 14\n64788 ' Authorization' 14\n64789 ' Begriffsklär' 14\n64790 ' Bibliografía' 14\n64791 ' Bibliothèque' 14\n64792 ' CONSEQUENTIAL' 14\n64793 ' Championships' 14\n64794 ' Collaboration' 14\n64795 ' Communication' 14\n64796 ' Comprehensive' 14\n64797 ' Configuration' 14\n64798 ' Congressional' 14\n64799 ' Conservatives' 14\n64800 ' Contributions' 14\n64801 ' Documentation' 14\n64802 ' Entertainment' 14\n64803 ' Environmental' 14\n64804 ' Institutional' 14\n64805 ' Interestingly' 14\n64806 ' Internacional' 14\n64807 ' International' 14\n64808 ' Investigation' 14\n64809 ' Manufacturing' 14\n64810 ' Massachusetts' 14\n64811 ' Mediterranean' 14\n64812 ' Psychological' 14\n64813 ' Revolutionary' 14\n64814 ' Specification' 14\n64815 ' StringBuilder' 14\n64816 ' Supplementary' 14\n64817 ' Understanding' 14\n64818 ' Unfortunately' 14\n64819 ' abnormalities' 14\n64820 ' accessibility' 14\n64821 ' accommodation' 14\n64822 ' acknowledging' 14\n64823 ' administering' 14\n64824 ' administrator' 14\n64825 ' advertisement' 14\n64826 ' alternatively' 14\n64827 ' amplification' 14\n64828 ' announcements' 14\n64829 ' appropriately' 14\n64830 ' approximately' 14\n64831 ' approximation' 14\n64832 ' architectural' 14\n64833 ' architectures' 14\n64834 ' assassination' 14\n64835 ' authenticated' 14\n64836 ' authoritarian' 14\n64837 ' authoritative' 14\n64838 ' authorization' 14\n64839 ' automatically' 14\n64840 ' beneficiaries' 14\n64841 ' breastfeeding' 14\n64842 ' carbohydrates' 14\n64843 ' certification' 14\n64844 ' championships' 14\n64845 ' characterized' 14\n64846 ' circumference' 14\n64847 ' circumstances' 14\n64848 ' clarification' 14\n64849 ' collaboration' 14\n64850 ' collaborative' 14\n64851 ' collaborators' 14\n64852 ' communicating' 14\n64853 ' communication' 14\n64854 ' comparatively' 14\n64855 ' compassionate' 14\n64856 ' compatibility' 14\n64857 ' complementary' 14\n64858 ' complications' 14\n64859 ' complimentary' 14\n64860 ' comprehension' 14\n64861 ' comprehensive' 14\n64862 ' computational' 14\n64863 ' concentrating' 14\n64864 ' concentration' 14\n64865 ' configuration' 14\n64866 ' confrontation' 14\n64867 ' congressional' 14\n64868 ' consciousness' 14\n64869 ' conservatives' 14\n64870 ' consideration' 14\n64871 ' consolidation' 14\n64872 ' constructions' 14\n64873 ' consultations' 14\n64874 ' contamination' 14\n64875 ' contraception' 14\n64876 ' contradiction' 14\n64877 ' contradictory' 14\n64878 ' contributions' 14\n64879 ' controversial' 14\n64880 ' conversations' 14\n64881 ' correspondent' 14\n64882 ' corresponding' 14\n64883 ' decentralized' 14\n64884 ' decomposition' 14\n64885 ' demonstrating' 14\n64886 ' demonstration' 14\n64887 ' deterioration' 14\n64888 ' determination' 14\n64889 ' deterministic' 14\n64890 ' developmental' 14\n64891 ' differentiate' 14\n64892 ' disadvantages' 14\n64893 ' disappearance' 14\n64894 ' disappointing' 14\n64895 ' discrepancies' 14\n64896 ' discriminator' 14\n64897 ' disproportion' 14\n64898 ' dissemination' 14\n64899 ' distinguished' 14\n64900 ' distributions' 14\n64901 ' documentation' 14\n64902 ' effectiveness' 14\n64903 ' embarrassment' 14\n64904 ' encouragement' 14\n64905 ' entertainment' 14\n64906 ' entrepreneurs' 14\n64907 ' environmental' 14\n64908 ' establishment' 14\n64909 ' exceptionally' 14\n64910 ' experimenting' 14\n64911 ' exponentially' 14\n64912 ' extracellular' 14\n64913 ' extraordinary' 14\n64914 ' fragmentation' 14\n64915 ' functionality' 14\n64916 ' fundamentally' 14\n64917 ' globalization' 14\n64918 ' grandchildren' 14\n64919 ' gravitational' 14\n64920 ' heterogeneous' 14\n64921 ' homosexuality' 14\n64922 ' illustrations' 14\n64923 ' inadvertently' 14\n64924 ' inappropriate' 14\n64925 ' incarceration' 14\n64926 ' inconsistency' 14\n64927 ' inconvenience' 14\n64928 ' incorporating' 14\n64929 ' incorporation' 14\n64930 ' independently' 14\n64931 ' indispensable' 14\n64932 ' informational' 14\n64933 ' informações' 14\n64934 ' információk' 14\n64935 ' insignificant' 14\n64936 ' installations' 14\n64937 ' instantaneous' 14\n64938 ' institutional' 14\n64939 ' intentionally' 14\n64940 ' internacional' 14\n64941 ' international' 14\n64942 ' interpersonal' 14\n64943 ' interpolation' 14\n64944 ' interrogation' 14\n64945 ' intersections' 14\n64946 ' interventions' 14\n64947 ' intracellular' 14\n64948 ' investigating' 14\n64949 ' investigation' 14\n64950 ' investigative' 14\n64951 ' investigators' 14\n64952 ' jurisdictions' 14\n64953 ' justification' 14\n64954 ' knowledgeable' 14\n64955 ' manifestation' 14\n64956 ' manufacturers' 14\n64957 ' manufacturing' 14\n64958 ' methodologies' 14\n64959 ' mieszkańców' 14\n64960 ' misunderstood' 14\n64961 ' mitochondrial' 14\n64962 ' modifications' 14\n64963 ' morphological' 14\n64964 ' multicultural' 14\n64965 ' nanoparticles' 14\n64966 ' neighborhoods' 14\n64967 ' neighbourhood' 14\n64968 ' normalization' 14\n64969 ' notifications' 14\n64970 ' observational' 14\n64971 ' opportunities' 14\n64972 ' organisations' 14\n64973 ' organizations' 14\n64974 ' parliamentary' 14\n64975 ' participating' 14\n64976 ' participation' 14\n64977 ' października' 14\n64978 ' perpendicular' 14\n64979 ' personalities' 14\n64980 ' perturbations' 14\n64981 ' philosophical' 14\n64982 ' photographers' 14\n64983 ' physiological' 14\n64984 ' possibilities' 14\n64985 ' practitioners' 14\n64986 ' precipitation' 14\n64987 ' predetermined' 14\n64988 ' predominantly' 14\n64989 ' preprocessing' 14\n64990 ' prescriptions' 14\n64991 ' presentations' 14\n64992 ' probabilities' 14\n64993 ' professionals' 14\n64994 ' progressively' 14\n64995 ' proliferation' 14\n64996 ' pronunciation' 14\n64997 ' psychological' 14\n64998 ' psychologists' 14\n64999 ' qualification' 14\n65000 ' questionnaire' 14\n65001 ' reconstructed' 14\n65002 ' reimbursement' 14\n65003 ' reinforcement' 14\n65004 ' relationships' 14\n65005 ' restructuring' 14\n65006 ' retrospective' 14\n65007 ' revolutionary' 14\n65008 ' righteousness' 14\n65009 ' schizophrenia' 14\n65010 ' semiconductor' 14\n65011 ' serialization' 14\n65012 ' significantly' 14\n65013 ' socioeconomic' 14\n65014 ' sophisticated' 14\n65015 ' specification' 14\n65016 ' spontaneously' 14\n65017 ' stabilization' 14\n65018 ' statistically' 14\n65019 ' strengthening' 14\n65020 ' subscriptions' 14\n65021 ' substantially' 14\n65022 ' substitutions' 14\n65023 ' supplementary' 14\n65024 ' technological' 14\n65025 ' theoretically' 14\n65026 ' traditionally' 14\n65027 ' transcription' 14\n65028 ' transmissions' 14\n65029 ' uncertainties' 14\n65030 ' uncomfortable' 14\n65031 ' unconditional' 14\n65032 ' underestimate' 14\n65033 ' undergraduate' 14\n65034 ' understanding' 14\n65035 ' unfortunately' 14\n65036 ' unprecedented' 14\n65037 ' unpredictable' 14\n65038 ' visualization' 14\n65039 ' vulnerability' 14\n65040 '--------------' 14\n65041 '==============' 14\n65042 'ActivityThread' 14\n65043 'AndroidRuntime' 14\n65044 'Authentication' 14\n65045 'Classification' 14\n65046 'Implementation' 14\n65047 'LayoutInflater' 14\n65048 'RelativeLayout' 14\n65049 'Representation' 14\n65050 'ViewController' 14\n65051 'abstractmethod' 14\n65052 'actéristiques' 14\n65053 'authentication' 14\n65054 'classification' 14\n65055 'communications' 14\n65056 'disambiguation' 14\n65057 'getElementById' 14\n65058 'identification' 14\n65059 'implementation' 14\n65060 'longrightarrow' 14\n65061 'preventDefault' 14\n65062 'representation' 14\n65063 'transformation' 14\n65064 'Введите' 14\n65065 'ведения' 14\n65066 'версите' 14\n65067 'ичество' 14\n65068 'лександ' 14\n65069 'менталь' 14\n65070 'мерикан' 14\n65071 'ография' 14\n65072 'ператор' 14\n65073 'простра' 14\n65074 'силання' 14\n65075 'следова' 14\n65076 'ственно' 14\n65077 'ствовал' 14\n65078 'тельной' 14\n65079 'фициаль' 14\n65080 'циональ' 14\n65081 'ціональ' 14\n65082 'ческого' 14\n65083 '\\n\\n             ' 15\n65084 '\\n              ' 15\n65085 '\\r\\n\\r\\n           ' 15\n65086 '\\r\\n             ' 15\n65087 '               ' 15\n65088 ' Administration' 15\n65089 ' Administrative' 15\n65090 ' Authentication' 15\n65091 ' Classification' 15\n65092 ' Communications' 15\n65093 ' Constitutional' 15\n65094 ' Identification' 15\n65095 ' Implementation' 15\n65096 ' Infrastructure' 15\n65097 ' Initialization' 15\n65098 ' NotImplemented' 15\n65099 ' Rehabilitation' 15\n65100 ' Representative' 15\n65101 ' Superintendent' 15\n65102 ' Transformation' 15\n65103 ' Transportation' 15\n65104 ' accommodations' 15\n65105 ' accomplishment' 15\n65106 ' accountability' 15\n65107 ' administration' 15\n65108 ' administrative' 15\n65109 ' administrators' 15\n65110 ' advertisements' 15\n65111 ' aforementioned' 15\n65112 ' archaeological' 15\n65113 ' authentication' 15\n65114 ' cardiovascular' 15\n65115 ' characteristic' 15\n65116 ' classification' 15\n65117 ' communications' 15\n65118 ' concentrations' 15\n65119 ' configurations' 15\n65120 ' considerations' 15\n65121 ' constitutional' 15\n65122 ' correspondence' 15\n65123 ' cryptocurrency' 15\n65124 ' demonstrations' 15\n65125 ' differentiated' 15\n65126 ' disappointment' 15\n65127 ' discrimination' 15\n65128 ' discriminatory' 15\n65129 ' distinguishing' 15\n65130 ' développement' 15\n65131 ' electronically' 15\n65132 ' establishments' 15\n65133 ' experimentally' 15\n65134 ' französischen' 15\n65135 ' generalization' 15\n65136 ' identification' 15\n65137 ' implementation' 15\n65138 ' infrastructure' 15\n65139 ' initialization' 15\n65140 ' interconnected' 15\n65141 ' interpretation' 15\n65142 ' investigación' 15\n65143 ' investigations' 15\n65144 ' manifestations' 15\n65145 ' multiplication' 15\n65146 ' municipalities' 15\n65147 ' organizational' 15\n65148 ' overwhelmingly' 15\n65149 ' pharmaceutical' 15\n65150 ' principalmente' 15\n65151 ' professionally' 15\n65152 ' qualifications' 15\n65153 ' questionnaires' 15\n65154 ' recommendation' 15\n65155 ' reconciliation' 15\n65156 ' reconnaissance' 15\n65157 ' reconstruction' 15\n65158 ' redistribution' 15\n65159 ' regularization' 15\n65160 ' rehabilitation' 15\n65161 ' representation' 15\n65162 ' representative' 15\n65163 ' responsibility' 15\n65164 ' responsiveness' 15\n65165 ' scientifically' 15\n65166 ' setContentView' 15\n65167 ' simultaneously' 15\n65168 ' specialization' 15\n65169 ' specifications' 15\n65170 ' susceptibility' 15\n65171 ' sustainability' 15\n65172 ' systematically' 15\n65173 ' transformation' 15\n65174 ' transportation' 15\n65175 ' unconventional' 15\n65176 ' underestimated' 15\n65177 ' understandable' 15\n65178 ' årsnederbörd' 15\n65179 ' Історія' 15\n65180 ' Государ' 15\n65181 ' Джерела' 15\n65182 ' История' 15\n65183 ' Констан' 15\n65184 ' Мексика' 15\n65185 ' Мексику' 15\n65186 ' Николай' 15\n65187 ' Савезне' 15\n65188 ' Украины' 15\n65189 ' України' 15\n65190 ' августа' 15\n65191 ' березня' 15\n65192 ' вересня' 15\n65193 ' времени' 15\n65194 ' выступа' 15\n65195 ' генерал' 15\n65196 ' государ' 15\n65197 ' действи' 15\n65198 ' декабря' 15\n65199 ' деревня' 15\n65200 ' деятель' 15\n65201 ' институ' 15\n65202 ' информа' 15\n65203 ' истории' 15\n65204 ' команди' 15\n65205 ' команду' 15\n65206 ' компози' 15\n65207 ' которая' 15\n65208 ' которой' 15\n65209 ' которые' 15\n65210 ' который' 15\n65211 ' которых' 15\n65212 ' области' 15\n65213 ' область' 15\n65214 ' області' 15\n65215 ' октября' 15\n65216 ' општини' 15\n65217 ' персона' 15\n65218 ' получил' 15\n65219 ' проводи' 15\n65220 ' програм' 15\n65221 ' работал' 15\n65222 ' разрабо' 15\n65223 ' располо' 15\n65224 ' сельсов' 15\n65225 ' система' 15\n65226 ' соответ' 15\n65227 ' составе' 15\n65228 ' станови' 15\n65229 ' степени' 15\n65230 ' темпера' 15\n65231 ' територ' 15\n65232 ' террито' 15\n65233 ' течение' 15\n65234 ' установ' 15\n65235 ' участие' 15\n65236 ' февраля' 15\n65237 ' француз' 15\n65238 ' человек' 15\n65239 ' элемент' 15\n65240 '---------------' 15\n65241 '===============' 15\n65242 'OnClickListener' 15\n65243 'PropertyChanged' 15\n65244 'ValidationError' 15\n65245 'backgroundColor' 15\n65246 'printStackTrace' 15\n65247 'springframework' 15\n65248 '\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n' 16\n65249 '\\n               ' 16\n65250 '                ' 16\n65251 ' Characteristics' 16\n65252 ' Fußballspieler' 16\n65253 ' MERCHANTABILITY' 16\n65254 ' Redistributions' 16\n65255 ' Representatives' 16\n65256 ' accomplishments' 16\n65257 ' administrations' 16\n65258 ' characteristics' 16\n65259 ' classifications' 16\n65260 ' competitiveness' 16\n65261 ' confidentiality' 16\n65262 ' differentiation' 16\n65263 ' electromagnetic' 16\n65264 ' environmentally' 16\n65265 ' experimentation' 16\n65266 ' extraordinarily' 16\n65267 ' implementations' 16\n65268 ' inconsistencies' 16\n65269 ' instrumentation' 16\n65270 ' internationally' 16\n65271 ' interpretations' 16\n65272 ' notwithstanding' 16\n65273 ' phosphorylation' 16\n65274 ' recommendations' 16\n65275 ' representations' 16\n65276 ' representatives' 16\n65277 ' responsabilité' 16\n65278 ' straightforward' 16\n65279 ' supplementation' 16\n65280 ' synchronization' 16\n65281 ' transcriptional' 16\n65282 ' transformations' 16\n65283 ' transplantation' 16\n65284 ' veröffentlicht' 16\n65285 ' vulnerabilities' 16\n65286 '################' 16\n65287 '%%%%%%%%%%%%%%%%' 16\n65288 '****************' 16\n65289 '++++++++++++++++' 16\n65290 '----------------' 16\n65291 '................' 16\n65292 '////////////////' 16\n65293 '================' 16\n65294 '________________' 16\n65295 'addEventListener' 16\n65296 '~~~~~~~~~~~~~~~~' 16\n65297 '\\xa0\\xa0\\xa0\\xa0\\xa0\\xa0\\xa0\\xa0' 16\n65298 'ÃÂÃÂÃÂÃÂ' 16\n65299 'министра' 16\n65300 'ніципалі' 16\n65301 'ользоват' 16\n65302 'ственной' 16\n65303 'ственный' 16\n65304 'ственных' 16\n65305 'тельства' 16\n65306 'тельство' 16\n65307 'тература' 16\n65308 'хівовано' 16\n65309 '\\n\\n               ' 17\n65310 '\\n        \\n       ' 17\n65311 '\\n                ' 17\n65312 '\\r\\n               ' 17\n65313 ' \\n               ' 17\n65314 '                 ' 17\n65315 ' ----------------' 17\n65316 ' automáticamente' 17\n65317 ' características' 17\n65318 ' characterization' 17\n65319 ' cryptocurrencies' 17\n65320 ' disproportionate' 17\n65321 ' gastrointestinal' 17\n65322 ' misunderstanding' 17\n65323 ' responsibilities' 17\n65324 ' unconstitutional' 17\n65325 ' Александ' 17\n65326 ' Архивная' 17\n65327 ' Википеди' 17\n65328 ' Владимир' 17\n65329 ' Мексичка' 17\n65330 ' Официаль' 17\n65331 ' Республи' 17\n65332 ' Спољашње' 17\n65333 ' американ' 17\n65334 ' использу' 17\n65335 ' качестве' 17\n65336 ' которого' 17\n65337 ' муниципа' 17\n65338 ' название' 17\n65339 ' некоторы' 17\n65340 ' образова' 17\n65341 ' организа' 17\n65342 ' официаль' 17\n65343 ' подацима' 17\n65344 ' политиче' 17\n65345 ' представ' 17\n65346 ' производ' 17\n65347 ' результа' 17\n65348 ' савезној' 17\n65349 ' сентября' 17\n65350 ' современ' 17\n65351 ' составля' 17\n65352 ' специаль' 17\n65353 ' фамилией' 17\n65354 ' человека' 17\n65355 ' чемпиона' 17\n65356 ' является' 17\n65357 'ArgumentException' 17\n65358 '\\n                 ' 18\n65359 '                  ' 18\n65360 ' particulièrement' 18\n65361 'ственного' 18\n65362 '\\n                  ' 19\n65363 '                   ' 19\n65364 ' telecommunications' 19\n65365 ' Александр' 19\n65366 ' Биография' 19\n65367 ' Википедии' 19\n65368 ' Население' 19\n65369 ' Населення' 19\n65370 ' Националь' 19\n65371 ' Посилання' 19\n65372 ' Расподела' 19\n65373 ' Резултати' 19\n65374 ' Федерации' 19\n65375 ' Хронологи' 19\n65376 ' исследова' 19\n65377 ' листопада' 19\n65378 ' населения' 19\n65379 ' населення' 19\n65380 ' находится' 19\n65381 ' националь' 19\n65382 ' національ' 19\n65383 ' несколько' 19\n65384 ' обращения' 19\n65385 ' пользоват' 19\n65386 ' представи' 19\n65387 ' советский' 19\n65388 '\\n                   ' 20\n65389 '                    ' 20\n65390 ' NotImplementedError' 20\n65391 '--------------------' 20\n65392 'getElementsByTagName' 20\n65393 'Архівовано' 20\n65394 'нциклопеди' 20\n65395 '\\n\\n                   ' 21\n65396 '\\n                    ' 21\n65397 '\\r\\n                   ' 21\n65398 '                     ' 21\n65399 ' --------------------' 21\n65400 ' Литература' 21\n65401 ' Республики' 21\n65402 ' Российской' 21\n65403 ' использова' 21\n65404 ' международ' 21\n65405 ' муніципалі' 21\n65406 ' надморској' 21\n65407 ' расположен' 21\n65408 ' результате' 21\n65409 ' составляет' 21\n65410 ' становника' 21\n65411 ' территории' 21\n65412 ' университе' 21\n65413 ' університе' 21\n65414 '\\n                     ' 22\n65415 '                      ' 22\n65416 'министратив' 22\n65417 '\\n                      ' 23\n65418 '                       ' 23\n65419 ' Хронологија' 23\n65420 ' використову' 23\n65421 ' энциклопеди' 23\n65422 '\\n                       ' 24\n65423 '                        ' 24\n65424 '************************' 24\n65425 '------------------------' 24\n65426 '––––––––' 24\n65427 '————————' 24\n65428 '……………………' 24\n65429 '────────' 24\n65430 '════════' 24\n65431 '████████' 24\n65432 '\\n\\n                       ' 25\n65433 '\\n            \\n           ' 25\n65434 '\\n                        ' 25\n65435 '\\r\\n                       ' 25\n65436 '                         ' 25\n65437 ' Становништво' 25\n65438 ' университета' 25\n65439 '\\n                         ' 26\n65440 '                          ' 26\n65441 '\\n                          ' 27\n65442 '                           ' 27\n65443 ' административ' 27\n65444 '\\n                           ' 28\n65445 '                            ' 28\n65446 '\\n\\n                           ' 29\n65447 '\\n                            ' 29\n65448 '                             ' 29\n65449 '\\n                             ' 30\n65450 '                              ' 30\n65451 '------------------------------' 30\n65452 '\\n                              ' 31\n65453 '                               ' 31\n65454 '\\n                               ' 32\n65455 '                                ' 32\n65456 '################################' 32\n65457 '********************************' 32\n65458 '--------------------------------' 32\n65459 '................................' 32\n65460 '////////////////////////////////' 32\n65461 '================================' 32\n65462 '________________________________' 32\n65463 'ÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂ' 32\n65464 '\\n\\n                               ' 33\n65465 '\\n                                ' 33\n65466 '                                 ' 33\n65467 ' --------------------------------' 33\n65468 '\\n                                 ' 34\n65469 '                                  ' 34\n65470 '\\n                                  ' 35\n65471 '                                   ' 35\n65472 '\\n                                   ' 36\n65473 '                                    ' 36\n65474 '\\n                                    ' 37\n65475 '                                     ' 37\n65476 '\\n                                     ' 38\n65477 '                                      ' 38\n65478 '\\n                                      ' 39\n65479 '                                       ' 39\n65480 '\\n                                       ' 40\n65481 '                                        ' 40\n65482 '\\n                                        ' 41\n65483 '                                         ' 41\n65484 '                                          ' 42\n65485 '                                           ' 43\n65486 '\\n                                           ' 44\n65487 '                                            ' 44\n65488 '                                             ' 45\n65489 '                                              ' 46\n65490 '                                               ' 47\n65491 '\\n                                               ' 48\n65492 '                                                ' 48\n65493 '################################################' 48\n65494 '************************************************' 48\n65495 '------------------------------------------------' 48\n65496 '================================================' 48\n65497 '————————————————' 48\n65498 '────────────────' 48\n65499 '                                                 ' 49\n65500 ' ------------------------------------------------' 49\n65501 '                                                  ' 50\n65502 '                                                   ' 51\n65503 '\\n                                                   ' 52\n65504 '                                                    ' 52\n65505 '                                                     ' 53\n65506 '                                                      ' 54\n65507 '                                                       ' 55\n65508 '                                                        ' 56\n65509 '                                                         ' 57\n65510 '                                                          ' 58\n65511 '                                                           ' 59\n65512 '                                                              ' 62\n65513 '                                                                ' 64\n65514 '################################################################' 64\n65515 '****************************************************************' 64\n65516 '----------------------------------------------------------------' 64\n65517 '////////////////////////////////////////////////////////////////' 64\n65518 '================================================================' 64\n65519 ' ----------------------------------------------------------------' 65\n65520 ' =================================================================' 66\n65521 '//----------------------------------------------------------------' 66\n65522 '                                                                        ' 72\n65523 '************************************************************************' 72\n65524 '                                                                          ' 74\n65525 '############################################################################' 76\n65526 '****************************************************************************' 76\n65527 '################################################################################' 80\n65528 '--------------------------------------------------------------------------------' 80\n65529 '                                                                                                                                ' 128\n"
  },
  {
    "path": "tests/scratch.py",
    "content": "from pydantic import BaseModel, Field\nimport typing\n\nfrom formatron.schemas.schema import SubstringOf\nclass StringLengthModel(BaseModel):\n    short_string: bool = Field(...)\n    medium_string: str = Field(..., min_length=5, max_length=50)\n    long_string: typing.Annotated[str, Field(min_length=10, max_length=100, pattern=\"[a-zA-Z0-9]+\"), SubstringOf(string=\"medium_string\")]\n\nmodel = StringLengthModel(\n    short_string=False,\n    medium_string=\"This is a medium length string\",\n    long_string=\"This is a longer string that can contain more characters\"\n)\nprint(model.model_fields[\"long_string\"].metadata)"
  },
  {
    "path": "tests/snapshots/__init__.py",
    "content": ""
  },
  {
    "path": "tests/snapshots/snap_test_exllamav2_integration.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_exllamav2_batched_inference 1'] = [\n    '''Hello, cats! Hello, Exllamav2!\n''',\n    '''Hello, dogs! Hello, Exllamav2!\n'''\n]\n\nsnapshots['test_exllamav2_integration 1'] = '''Hello, cats! Hello, Exllamav2!\n'''\n\nsnapshots['test_exllamav2_json_schema 1'] = '''Using the given JSON schema, give me an emotion from the following text: \nUgggghhh, why do you have to be such a jerk!{ \"emotion\": \"angry\" }\n'''\n\nsnapshots['test_exllamav2_utf_8 1'] = '''Hello, cats! 你好，土豆！\n'''\n"
  },
  {
    "path": "tests/snapshots/snap_test_formatter.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import GenericRepr, Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_formatter 1'] = '''__choice_0_0_food ::= 'railroad' | 'orange' | 'banana';\n__regex_1_0 ::= #'[0-9]+';\n__regex_2_0 ::= #'[a-z]+';\n__choice_3_0_ID ::= __regex_1_0 | __regex_2_0;\ninteger ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_4_0_json ::= object_begin \\'\"name\"\\' colon __json_4_0_json_name comma \\'\"weight\"\\' colon __json_4_0_json_weight comma \\'\"color\"\\' colon __json_4_0_json_color object_end;\n__json_4_0_json_color ::= string;\n__json_4_0_json_weight ::= number;\n__json_4_0_json_name ::= string;\n\nstart ::= \\'Today, I want to eat \\' __choice_0_0_food \\'\\\\n\\' \"My food\\'s ID is \" __choice_3_0_ID \\'.\\\\n\\' \"\\\\nWhat\\'s more, indentations\\\\nare handled\\\\nappropriately.\" \\'My weight is 14.4kg and my color is pink. This is my personal info json: \\' __json_4_0_json \\'\\\\n\\';'''\n\nsnapshots['test_formatter 2'] = '''Today, I want to eat orange\nMy food's ID is red.\n\nWhat's more, indentations\nare handled\nappropriately.My weight is 14.4kg and my color is pink. This is my personal info json: {                                                                                                                                                                  '''\n\nsnapshots['test_formatter 3'] = {\n}\n\nsnapshots['test_formatter_alternate_accept 1'] = {\n    'age': GenericRepr(\"<re.Match object; span=(0, 2), match='30'>\"),\n    'name': GenericRepr(\"<re.Match object; span=(0, 5), match='John,'>\")\n}\n\nsnapshots['test_formatter_callable_schema 1'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json ::= object_begin \\'\"a\"\\' colon __json_0_0_json_a comma \\'\"b\"\\' colon __json_0_0_json_b comma \\'\"c\"\\' colon __json_0_0_json_c object_end;\n__json_0_0_json_c ::= integer;\n__json_0_0_json_b ::= integer;\n__json_0_0_json_a ::= integer;\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_formatter_callable_schema 2'] = '''{\"a\":1,\"b\":2,\"c\":3}\n'''\n\nsnapshots['test_formatter_callable_schema 3'] = {\n    'json': 6\n}\n\nsnapshots['test_formatter_dict_inference 1'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json ::= object_begin \\'\"name\"\\' colon __json_0_0_json_name comma \\'\"gender\"\\' colon __json_0_0_json_gender object_end;\n__json_0_0_json_gender ::= string;\n__json_0_0_json_name ::= string;\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_formatter_dict_inference 2'] = '''{\"name\":\"A\",\"gender\":\"male\"}\n'''\n\nsnapshots['test_formatter_dict_inference 3'] = {\n    'json': {\n        'gender': 'male',\n        'name': 'A'\n    }\n}\n\nsnapshots['test_formatter_json_no_properties 1'] = {\n    'data': {\n        'key': 'value',\n        'number': 42\n    }\n}\n\nsnapshots['test_formatter_json_schema 1'] = '''{\"name\":\"A\",\"age\":30}\n'''\n\nsnapshots['test_formatter_json_schema 2'] = {\n    'json': {\n        'age': 30,\n        'name': 'A'\n    }\n}\n\nsnapshots['test_formatter_json_schema 3'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json ::= object_begin \\'\"name\"\\' colon __json_0_0_json_name comma \\'\"age\"\\' colon __json_0_0_json_age object_end;\n__json_0_0_json_age ::= integer;\n__json_0_0_json_name ::= string;\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_formatter_regex_complement 1'] = '''__regex_complement_0_0_non_numeric ::= #ex'[0-9]';\n__regex_1_0_numeric ::= #'[0-9]+';\nstart ::= 'Text: ' __regex_complement_0_0_non_numeric 'Number: ' __regex_1_0_numeric '\\\\n';'''\n\nsnapshots['test_formatter_regex_complement 2'] = '''Text: The two of them went to the zoo.\n\nAssistant: The zoo was on the second floor.\nSo, the answer is \"The zoo was on the second floor\". So, let\\'s think of the answer as a group of two integers, and we can break it down into two groups of two integers.\nGroup #A:\nThe first group of two integers is (int x, int y) where x and y are integers.\nGroup #B:\nThe second group of two integers is (int x, int y) where x and y are integers.\nGroup #C:\nThe third group of two integers is (int x, int y) where x and y are integers.\nGroup #D:\nThe fourth group of two integers is (int x, int y) where x and y are integers.\nGroup #E:\nThe fifth group of two integers is (int x, int y) where x and y are integers.\nGroup #F:\nThe sixth group of two integers is (int x, int y) where x and y are integers.\nGroup #G:\nThe seventh group of two integers is (int x, int y) where x and y are integers.\n'''\n\nsnapshots['test_formatter_regex_complement 3'] = {\n    'non_numeric': 'Hello, world! Number: ',\n    'numeric': GenericRepr(\"<re.Match object; span=(0, 2), match='42'>\")\n}\n\nsnapshots['test_formatter_regex_complement 4'] = {\n    'non_numeric': 'Hello, world! Number: ',\n    'numeric': GenericRepr(\"<re.Match object; span=(0, 2), match='42'>\")\n}\n\nsnapshots['test_formatter_str 1'] = '''__str_0_0 ::= #'.*?(?:\\\\\\\\.)';\nstart ::= __str_0_0 '\\\\n';'''\n\nsnapshots['test_formatter_str 2'] = '这是我的名字。 我在这里住着。 我有一个朋友。 我想知道， 你们知道什么叫做爱吗？ 它是什么？ 它是什么样子的？ 我想知道。 你们知道什么叫做爱吗？ 它是什么样子的？ 它是什么样子的？ 它是什么样子的？ 这是我的朋友， 他正在跟我说话。 我很喜欢他。 他说： “我想知道， 你们知道什么叫做爱吗？” 我想回答， “不，” 但是他问： “那就好了。” 于是我们就这样谈论了。 你们知道， 当然， 这也是我们的关系。 他和我一起住在这里。 我们都很好， 而且我很喜欢他。 你们知道， 我喜欢他， 但是他也很喜欢我。 因为他想'\n\nsnapshots['test_formatter_str 3'] = {\n}\n\nsnapshots['test_formatter_substr 1'] = '''__substr_0_0_substr ::= #substrs'Name: Umbrella; Price: 114.514 dollars;';\nstart ::= __substr_0_0_substr '<eos>';'''\n\nsnapshots['test_formatter_substr 2'] = ' 114.514 dollars;<eos>'\n\nsnapshots['test_formatter_substr 3'] = {\n    'substr': ' 114.514 dollars;'\n}\n\nsnapshots['test_formatter_top_level_array_json_schema 1'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json_min ::= __json_0_0_json_item;\n__json_0_0_json ::= array_begin __json_0_0_json_min comma __json_0_0_json_item array_end;\n__json_0_0_json ::= array_begin __json_0_0_json_min comma __json_0_0_json_item comma __json_0_0_json_item array_end;\n__json_0_0_json ::= array_begin __json_0_0_json_min comma __json_0_0_json_item comma __json_0_0_json_item comma __json_0_0_json_item array_end;\n__json_0_0_json ::= array_begin __json_0_0_json_min comma __json_0_0_json_item comma __json_0_0_json_item comma __json_0_0_json_item comma __json_0_0_json_item array_end;\n__json_0_0_json_item ::= json_value;\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_formatter_top_level_array_json_schema 2'] = '''[{\"id\": 1, \"name\": \"John\"}, {\"id\": 2, \"name\": \"Mary\"}, {\"id\": 3, \"name\": \"Jane\"}, {\"id\": 4, \"name\": \"Joe\"}]\n'''\n\nsnapshots['test_formatter_top_level_array_json_schema 3'] = {\n    'json': [\n        {\n            'id': 1,\n            'name': 'John'\n        },\n        {\n            'id': 2,\n            'name': 'Mary'\n        },\n        {\n            'id': 3,\n            'name': 'Jane'\n        },\n        {\n            'id': 4,\n            'name': 'Joe'\n        }\n    ]\n}\n\nsnapshots['test_grammar_literal 1'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json ::= object_begin \\'\"a\"\\' colon __json_0_0_json_a object_end;\n__json_0_0_json_a ::= \\'\"114\"\\' | \\'\"514\"\\';\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_grammar_literal 2'] = '''{\"a\":\"114\"}\n'''\n\nsnapshots['test_grammar_literal 3'] = {\n    'json': GenericRepr(\"A(a='114')\")\n}\n\nsnapshots['test_utf8_json_key 1'] = '''integer ::= #\"-?(0|[1-9][0-9]*)\";\nnumber ::= #\"-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #\\'\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= \"true\"|\"false\";\nnull ::= \"null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n\\r]*,[ \\t\n\\r]*\";\ncolon ::= #\"[ \\t\n\\r]*:[ \\t\n\\r]*\";\nobject_begin ::= #\"\\\\\\\\{[ \\t\n\\r]*\";\nobject_end ::= #\"[ \\t\n\\r]*\\\\\\\\}\";\narray_begin ::= #\"\\\\\\\\[[ \\t\n\\r]*\";\narray_end ::= #\"[ \\t\n\\r]*\\\\\\\\]\";\n__json_0_0_json ::= object_begin \\'\"土豆\"\\' colon __json_0_0_json_u571fu8c46 comma \\'\"\\\\\\\\(@^0^@)/\"\\' colon __json_0_0_json_u5cu28u40u5e0u5eu40u29u2f comma \\'\"🍎\"\\' colon __json_0_0_json_u1f34e object_end;\n__json_0_0_json_u1f34e ::= __json_0_0_json_u1f34e_required?;\n__json_0_0_json_u1f34e_required ::= string;\n__json_0_0_json_u5cu28u40u5e0u5eu40u29u2f ::= __json_0_0_json_u5cu28u40u5e0u5eu40u29u2f_required?;\n__json_0_0_json_u5cu28u40u5e0u5eu40u29u2f_required ::= string;\n__json_0_0_json_u571fu8c46 ::= __json_0_0_json_u571fu8c46_required?;\n__json_0_0_json_u571fu8c46_required ::= string;\n\nstart ::= __json_0_0_json '\\\\n';'''\n\nsnapshots['test_utf8_json_key 2'] = '''{\"土豆\": \"是一种特殊的食品,有机和天然的配方,是一种含有淀粉、果糖、蛋白质和多种维生素的水果。\"\n\n,  \"\\\\(@^0^@)/\"\n\n:  \"\\\\\"土豆\\\\\"\"\n\n,  \"🍎\"\n\n:  \"\\\\\"大家好,我是 🍎 🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎🍎\\\\n\\\\n[#上面](https://www.zhihu.com/search?q=土豆) **这个文章** 的标题是: 土豆: 一种特殊的食品,有机和天然的配方,是一种含有淀粉、果糖、蛋白质和多种维生素的水果'''\n\nsnapshots['test_utf8_json_key 3'] = {\n}\n"
  },
  {
    "path": "tests/snapshots/snap_test_grammar_gen.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_infer_mapping 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"mode\"\\' colon start_mode comma #\\'[ \\t\n]*\"title\"\\' colon start_title comma #\\'[ \\t\n]*\"queries\"\\' colon start_queries comma #\\'[ \\t\n]*\"related_queries\"\\' colon start_related_queries comma #\\'[ \\t\n]*\"concepts\"\\' colon start_concepts comma #\\'[ \\t\n]*\"urls\"\\' colon start_urls object_end;\nstart_urls ::= array_begin (start_urls_value (comma start_urls_value)*)? array_end;\nstart_urls_value ::= string;\nstart_concepts ::= array_begin (start_concepts_value (comma start_concepts_value)*)? array_end;\nstart_concepts_value ::= string;\nstart_related_queries ::= array_begin (start_related_queries_value (comma start_related_queries_value)*)? array_end;\nstart_related_queries_value ::= start_related_queries_value_0 | start_related_queries_value_1;\nstart_related_queries_value_1 ::= object_begin #'[ \\t\n]*\"foo\"\\' colon start_related_queries_value_1_foo object_end;\nstart_related_queries_value_1_foo ::= integer;\nstart_related_queries_value_0 ::= string;\nstart_queries ::= array_begin (start_queries_value (comma start_queries_value)*)? array_end;\nstart_queries_value ::= start_queries_value_0 | start_queries_value_1 | start_queries_value_2;\nstart_queries_value_2 ::= boolean;\nstart_queries_value_1 ::= string;\nstart_queries_value_0 ::= integer;\nstart_title ::= string;\nstart_mode ::= string;\n'''\n\nsnapshots['test_json_schema 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"name\"\\' colon start_name comma #\\'[ \\t\n]*\"price\"\\' colon start_price comma #\\'[ \\t\n]*\"tags\"\\' colon start_tags comma #\\'[ \\t\n]*\"inStock\"\\' colon start_inStock comma #\\'[ \\t\n]*\"category\"\\' colon start_category comma #\\'[ \\t\n]*\"sku\"\\' colon start_sku object_end;\nstart_sku ::= #'[ \\t\n]*\"ITEM-001\"\\';\nstart_category ::= #'[ \\t\n]*\"electronics\"\\' | #\"[ \\t\n]*114\" | #\"[ \\t\n]*514.1\" | null | (array_begin start_category_4_0 comma start_category_4_1 comma start_category_4_2 comma start_category_4_3 array_end) | object_begin start_category_4_0 comma start_category_4_1 comma start_category_4_2 comma start_category_4_3 comma start_category_5_a comma start_category_5_b object_end;\nstart_category_5_b ::= #\"[ \\t\n]*2.3\";\nstart_category_5_a ::= #\"[ \\t\n]*1\";\nstart_category_4_3 ::= #\"[ \\t\n]*true\";\nstart_category_4_2 ::= #\"[ \\t\n]*514.1\";\nstart_category_4_1 ::= #\"[ \\t\n]*514\";\nstart_category_4_0 ::= #'[ \\t\n]*\"114\"\\';\nstart_inStock ::= start_inStock_required?;\nstart_inStock_required ::= boolean;\nstart_tags ::= start_tags_required?;\nstart_tags_required ::= array_begin  comma start_tags_required_item+ array_end;\nstart_tags_required_item ::= json_value;\nstart_price ::= #'[ \\t\n]*0|[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_name ::= start_name_0 | start_name_1;\nstart_name_1 ::= number;\nstart_name_0 ::= string;\n'''\n\nsnapshots['test_json_schema_array_min_max_items_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"min_items_array\"\\' colon start_min_items_array comma #\\'[ \\t\n]*\"max_items_array\"\\' colon start_max_items_array comma #\\'[ \\t\n]*\"min_max_items_array\"\\' colon start_min_max_items_array object_end;\nstart_min_max_items_array_min ::= start_min_max_items_array_item;\nstart_min_max_items_array ::= array_begin start_min_max_items_array_min comma start_min_max_items_array_item array_end;\nstart_min_max_items_array ::= array_begin start_min_max_items_array_min comma start_min_max_items_array_item comma start_min_max_items_array_item array_end;\nstart_min_max_items_array ::= array_begin start_min_max_items_array_min comma start_min_max_items_array_item comma start_min_max_items_array_item comma start_min_max_items_array_item array_end;\nstart_min_max_items_array_item ::= json_value;\nstart_max_items_array ::= array_begin  array_end;\nstart_max_items_array ::= array_begin start_max_items_array_item array_end;\nstart_max_items_array ::= array_begin start_max_items_array_item comma start_max_items_array_item array_end;\nstart_max_items_array ::= array_begin start_max_items_array_item comma start_max_items_array_item comma start_max_items_array_item array_end;\nstart_max_items_array_item ::= json_value;\nstart_min_items_array ::= array_begin start_min_items_array_item comma start_min_items_array_item+ array_end;\nstart_min_items_array_item ::= json_value;\n'''\n\nsnapshots['test_json_schema_array_prefix_items 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"2_5_prefix_items\"\\' colon start_2_5_prefix_items comma #\\'[ \\t\n]*\"1_4_prefix_items\"\\' colon start_1_4_prefix_items comma #\\'[ \\t\n]*\"3__prefix_items\"\\' colon start_3__prefix_items comma #\\'[ \\t\n]*\"0_4_prefix_items\"\\' colon start_0_4_prefix_items comma #\\'[ \\t\n]*\"simple_prefix_items\"\\' colon start_simple_prefix_items object_end;\nstart_simple_prefix_items ::= array_begin array_end;\nstart_simple_prefix_items ::= array_begin start_simple_prefix_items_item_0 (comma start_simple_prefix_items_item)* array_end;\nstart_simple_prefix_items_item ::= json_value;\nstart_simple_prefix_items_item_0 ::= string;\nstart_0_4_prefix_items ::= array_begin array_end;\nstart_0_4_prefix_items ::= array_begin start_0_4_prefix_items_item_0 array_end;\nstart_0_4_prefix_items_min ::= start_0_4_prefix_items_item_0;\nstart_0_4_prefix_items ::= array_begin start_0_4_prefix_items_min comma start_0_4_prefix_items_item array_end;\nstart_0_4_prefix_items ::= array_begin start_0_4_prefix_items_min comma start_0_4_prefix_items_item comma start_0_4_prefix_items_item array_end;\nstart_0_4_prefix_items ::= array_begin start_0_4_prefix_items_min comma start_0_4_prefix_items_item comma start_0_4_prefix_items_item comma start_0_4_prefix_items_item array_end;\nstart_0_4_prefix_items_item ::= json_value;\nstart_0_4_prefix_items_item_0 ::= string;\nstart_3__prefix_items ::= array_begin start_3__prefix_items_item_0 comma start_3__prefix_items_item_1  comma start_3__prefix_items_item+ array_end;\nstart_3__prefix_items_item ::= json_value;\nstart_3__prefix_items_item_1 ::= number;\nstart_3__prefix_items_item_0 ::= string;\nstart_1_4_prefix_items ::= array_begin start_1_4_prefix_items_item_0 array_end;\nstart_1_4_prefix_items ::= array_begin start_1_4_prefix_items_item_0 comma start_1_4_prefix_items_item_1 array_end;\nstart_1_4_prefix_items_min ::= start_1_4_prefix_items_item_0 comma start_1_4_prefix_items_item_1;\nstart_1_4_prefix_items ::= array_begin start_1_4_prefix_items_min comma start_1_4_prefix_items_item array_end;\nstart_1_4_prefix_items ::= array_begin start_1_4_prefix_items_min comma start_1_4_prefix_items_item comma start_1_4_prefix_items_item array_end;\nstart_1_4_prefix_items_item ::= json_value;\nstart_1_4_prefix_items_item_1 ::= number;\nstart_1_4_prefix_items_item_0 ::= string;\nstart_2_5_prefix_items ::= array_begin start_2_5_prefix_items_item_0 comma start_2_5_prefix_items_item_1 array_end;\nstart_2_5_prefix_items ::= array_begin start_2_5_prefix_items_item_0 comma start_2_5_prefix_items_item_1 comma start_2_5_prefix_items_item_2 array_end;\nstart_2_5_prefix_items_min ::= start_2_5_prefix_items_item_0 comma start_2_5_prefix_items_item_1 comma start_2_5_prefix_items_item_2;\nstart_2_5_prefix_items_item ::= json_value;\nstart_2_5_prefix_items_item_2 ::= boolean;\nstart_2_5_prefix_items_item_1 ::= number;\nstart_2_5_prefix_items_item_0 ::= string;\n'''\n\nsnapshots['test_json_schema_integer_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"gt_int\"\\' colon start_gt_int comma #\\'[ \\t\n]*\"ge_int\"\\' colon start_ge_int comma #\\'[ \\t\n]*\"lt_int\"\\' colon start_lt_int comma #\\'[ \\t\n]*\"le_int\"\\' colon start_le_int object_end;\nstart_le_int ::= #'[ \\t\n]*0|-[1-9][0-9]*';\nstart_lt_int ::= #'[ \\t\n]*-[1-9][0-9]*';\nstart_ge_int ::= #'[ \\t\n]*0|[1-9][0-9]*';\nstart_gt_int ::= #'[ \\t\n]*[1-9][0-9]*';\n'''\n\nsnapshots['test_json_schema_number_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"gt_number\"\\' colon start_gt_number comma #\\'[ \\t\n]*\"ge_number\"\\' colon start_ge_number comma #\\'[ \\t\n]*\"lt_number\"\\' colon start_lt_number comma #\\'[ \\t\n]*\"le_number\"\\' colon start_le_number object_end;\nstart_le_number ::= #'[ \\t\n]*0|-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_lt_number ::= #'[ \\t\n]*-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_ge_number ::= #'[ \\t\n]*0|[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_gt_number ::= #'[ \\t\n]*[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\n'''\n\nsnapshots['test_json_schema_object_without_properties 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object;\n'''\n\nsnapshots['test_json_schema_substring_constraint 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"substring_str\"\\' colon start_substring_str object_end;\nstart_substring_str ::= #'[ \\t\n]*\\' \\'\"\\' #substrs\\'Hello, world!\\' \\'\"\\';\n'''\n\nsnapshots['test_pydantic_callable 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"a\"\\' colon start_a comma #\\'[ \\t\n]*\"b\"\\' colon start_b object_end;\nstart_b ::= start_b_required?;\nstart_b_required ::= integer;\nstart_a ::= integer;\n'''\n\nsnapshots['test_pydantic_class 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"a\"\\' colon start_a comma #\\'[ \\t\n]*\"b\"\\' colon start_b comma #\\'[ \\t\n]*\"c\"\\' colon start_c comma #\\'[ \\t\n]*\"e\"\\' colon start_e comma #\\'[ \\t\n]*\"f\"\\' colon start_f object_end;\nstart_f ::= start_f_0 | start_f_1 | start_f_2 | start_f_3 | start_f_4;\nstart_f_4 ::= array_begin (start_f_4_value (comma start_f_4_value)*)? array_end;\nstart_f_4_value ::= integer;\nstart_f_3 ::= integer;\nstart_f_2 ::= json_value;\nstart_f_1 ::= integer;\nstart_f_0 ::= boolean;\nstart_e ::=array_begin start_e_0 comma start_e_1 comma start_e_2 comma start_e_3 comma start_e_4 array_end;\nstart_e_4 ::= object;\nstart_e_3 ::= object;\nstart_e_2 ::= number;\nstart_e_1 ::= string;\nstart_e_0 ::= array_begin (start_e_0_value (comma start_e_0_value)*)? array_end;\nstart_e_0_value ::= number;\nstart_c ::= #'[ \\t\n]*\"114\\\\\\'\"\"\\' | #\\'[ \\t\n]*\"514\"\\' | #\"[ \\t\n]*true\" | #\\'[ \\t\n]*\"1919\"\\' | #\\'[ \\t\n]*\"810\"\\';\nstart_b ::= start_b_required?;\nstart_b_required ::= integer;\nstart_a ::= start_a_required?;\nstart_a_required ::= string;\n'''\n\nsnapshots['test_pydantic_class_linked_list 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_value comma #\\'[ \\t\n]*\"next\"\\' colon start_next object_end;\nstart_next ::= start_next_0 | start_next_1;\nstart_next_1 ::= null;\nstart_next_0 ::= start;\nstart_value ::= integer;\n'''\n\nsnapshots['test_pydantic_float_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"gt_float\"\\' colon start_gt_float comma #\\'[ \\t\n]*\"ge_float\"\\' colon start_ge_float comma #\\'[ \\t\n]*\"lt_float\"\\' colon start_lt_float comma #\\'[ \\t\n]*\"le_float\"\\' colon start_le_float comma #\\'[ \\t\n]*\"positive_float\"\\' colon start_positive_float comma #\\'[ \\t\n]*\"negative_float\"\\' colon start_negative_float comma #\\'[ \\t\n]*\"nonnegative_float\"\\' colon start_nonnegative_float comma #\\'[ \\t\n]*\"nonpositive_float\"\\' colon start_nonpositive_float object_end;\nstart_nonpositive_float ::= #'[ \\t\n]*0|-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_nonnegative_float ::= #'[ \\t\n]*0|[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_negative_float ::= #'[ \\t\n]*-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_positive_float ::= #'[ \\t\n]*[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_le_float ::= #'[ \\t\n]*0|-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_lt_float ::= #'[ \\t\n]*-[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_ge_float ::= #'[ \\t\n]*0|[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_gt_float ::= #'[ \\t\n]*[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\n'''\n\nsnapshots['test_pydantic_integer_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"gt_int\"\\' colon start_gt_int comma #\\'[ \\t\n]*\"ge_int\"\\' colon start_ge_int comma #\\'[ \\t\n]*\"lt_int\"\\' colon start_lt_int comma #\\'[ \\t\n]*\"le_int\"\\' colon start_le_int comma #\\'[ \\t\n]*\"positive_int\"\\' colon start_positive_int comma #\\'[ \\t\n]*\"negative_int\"\\' colon start_negative_int comma #\\'[ \\t\n]*\"nonnegative_int\"\\' colon start_nonnegative_int comma #\\'[ \\t\n]*\"nonpositive_int\"\\' colon start_nonpositive_int object_end;\nstart_nonpositive_int ::= #'[ \\t\n]*0|-[1-9][0-9]*';\nstart_nonnegative_int ::= #'[ \\t\n]*0|[1-9][0-9]*';\nstart_negative_int ::= #'[ \\t\n]*-[1-9][0-9]*';\nstart_positive_int ::= #'[ \\t\n]*[1-9][0-9]*';\nstart_le_int ::= #'[ \\t\n]*0|-[1-9][0-9]*';\nstart_lt_int ::= #'[ \\t\n]*-[1-9][0-9]*';\nstart_ge_int ::= #'[ \\t\n]*0|[1-9][0-9]*';\nstart_gt_int ::= #'[ \\t\n]*[1-9][0-9]*';\n'''\n\nsnapshots['test_pydantic_sequence_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"min_2_list\"\\' colon start_min_2_list comma #\\'[ \\t\n]*\"max_5_list\"\\' colon start_max_5_list comma #\\'[ \\t\n]*\"min_1_max_3_list\"\\' colon start_min_1_max_3_list comma #\\'[ \\t\n]*\"min_2_tuple\"\\' colon start_min_2_tuple comma #\\'[ \\t\n]*\"max_5_tuple\"\\' colon start_max_5_tuple comma #\\'[ \\t\n]*\"min_1_max_3_tuple\"\\' colon start_min_1_max_3_tuple comma #\\'[ \\t\n]*\"empty_list\"\\' colon start_empty_list object_end;\nstart_empty_list_item ::= array_begin (start_empty_list_item_value (comma start_empty_list_item_value)*)? array_end;\nstart_empty_list_item_value ::= json_value;\nstart_min_1_max_3_tuple_min ::= start_min_1_max_3_tuple_item;\nstart_min_1_max_3_tuple ::= array_begin start_min_1_max_3_tuple_min comma start_min_1_max_3_tuple_item array_end;\nstart_min_1_max_3_tuple ::= array_begin start_min_1_max_3_tuple_min comma start_min_1_max_3_tuple_item comma start_min_1_max_3_tuple_item array_end;\nstart_min_1_max_3_tuple_item ::= number;\nstart_max_5_tuple ::= array_begin  array_end;\nstart_max_5_tuple ::= array_begin start_max_5_tuple_item array_end;\nstart_max_5_tuple ::= array_begin start_max_5_tuple_item comma start_max_5_tuple_item array_end;\nstart_max_5_tuple ::= array_begin start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item array_end;\nstart_max_5_tuple ::= array_begin start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item array_end;\nstart_max_5_tuple ::= array_begin start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item comma start_max_5_tuple_item array_end;\nstart_max_5_tuple_item ::= string;\nstart_min_2_tuple ::= array_begin start_min_2_tuple_item comma start_min_2_tuple_item+ array_end;\nstart_min_2_tuple_item ::= integer;\nstart_min_1_max_3_list_min ::= start_min_1_max_3_list_item;\nstart_min_1_max_3_list ::= array_begin start_min_1_max_3_list_min comma start_min_1_max_3_list_item array_end;\nstart_min_1_max_3_list ::= array_begin start_min_1_max_3_list_min comma start_min_1_max_3_list_item comma start_min_1_max_3_list_item array_end;\nstart_min_1_max_3_list_item ::= number;\nstart_max_5_list ::= array_begin  array_end;\nstart_max_5_list ::= array_begin start_max_5_list_item array_end;\nstart_max_5_list ::= array_begin start_max_5_list_item comma start_max_5_list_item array_end;\nstart_max_5_list ::= array_begin start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item array_end;\nstart_max_5_list ::= array_begin start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item array_end;\nstart_max_5_list ::= array_begin start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item comma start_max_5_list_item array_end;\nstart_max_5_list_item ::= string;\nstart_min_2_list ::= array_begin start_min_2_list_item comma start_min_2_list_item+ array_end;\nstart_min_2_list_item ::= integer;\n'''\n\nsnapshots['test_pydantic_string_constraints 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"min_length_str\"\\' colon start_min_length_str comma #\\'[ \\t\n]*\"max_length_str\"\\' colon start_max_length_str comma #\\'[ \\t\n]*\"pattern_str\"\\' colon start_pattern_str comma #\\'[ \\t\n]*\"combined_str\"\\' colon start_combined_str object_end;\nstart_combined_str ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){2,5}\"\\';\nstart_pattern_str ::= #'[ \\t\n]*\"[a-zA-Z0-9]+\"\\';\nstart_max_length_str ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){0,10}\"\\';\nstart_min_length_str ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){3,}\"\\';\n'''\n\nsnapshots['test_pydantic_substring_constraint 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"substring_str\"\\' colon start_substring_str object_end;\nstart_substring_str ::= string;\n'''\n\nsnapshots['test_recursive_binary_tree_schema 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_value comma #\\'[ \\t\n]*\"left\"\\' colon start_left comma #\\'[ \\t\n]*\"right\"\\' colon start_right object_end;\nstart_right ::= start_right_required?;\nstart_right_required ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_right_required_value comma #\\'[ \\t\n]*\"left\"\\' colon start_right_required_left comma #\\'[ \\t\n]*\"right\"\\' colon start_right_required_right object_end;\nstart_right_required_right ::= start_right_required_right_required?;\nstart_right_required_right_required ::= start_right_required;\nstart_right_required_left ::= start_right_required_left_required?;\nstart_right_required_left_required ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_right_required_left_required_value comma #\\'[ \\t\n]*\"left\"\\' colon start_right_required_left_required_left comma #\\'[ \\t\n]*\"right\"\\' colon start_right_required_left_required_right object_end;\nstart_right_required_left_required_right ::= start_right_required_left_required_right_required?;\nstart_right_required_left_required_right_required ::= start_right_required;\nstart_right_required_left_required_left ::= start_right_required_left_required_left_required?;\nstart_right_required_left_required_left_required ::= start_right_required_left_required;\nstart_right_required_left_required_value ::= number;\nstart_right_required_value ::= number;\nstart_left ::= start_left_required?;\nstart_left_required ::= start_right_required_left_required;\nstart_value ::= number;\n'''\n\nsnapshots['test_recursive_linked_list_schema 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_value comma #\\'[ \\t\n]*\"next\"\\' colon start_next object_end;\nstart_next ::= start_next_required?;\nstart_next_required ::= object_begin #'[ \\t\n]*\"value\"\\' colon start_next_required_value comma #\\'[ \\t\n]*\"next\"\\' colon start_next_required_next object_end;\nstart_next_required_next ::= start_next_required_next_required?;\nstart_next_required_next_required ::= start_next_required;\nstart_next_required_value ::= integer;\nstart_value ::= integer;\n'''\n\nsnapshots['test_schema_with_anchor_reference 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"mainProperty\"\\' colon start_mainProperty comma #\\'[ \\t\n]*\"referencedObject\"\\' colon start_referencedObject comma #\\'[ \\t\n]*\"referencedObject2\"\\' colon start_referencedObject2 object_end;\nstart_referencedObject2 ::= object_begin #'[ \\t\n]*\"subProperty\"\\' colon start_referencedObject2_subProperty object_end;\nstart_referencedObject2_subProperty ::= integer;\nstart_referencedObject ::= object_begin #'[ \\t\n]*\"subProperty\"\\' colon start_referencedObject_subProperty object_end;\nstart_referencedObject_subProperty ::= integer;\nstart_mainProperty ::= string;\n'''\n\nsnapshots['test_schema_with_anyOf_inside_array 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"items\"\\' colon start_items object_end;\nstart_items ::= array_begin (start_items_value (comma start_items_value)*)? array_end;\nstart_items_value ::= start_items_value_0 | start_items_value_1 | start_items_value_2;\nstart_items_value_2 ::= boolean;\nstart_items_value_1 ::= object_begin #'[ \\t\n]*\"name\"\\' colon start_items_value_1_name comma #\\'[ \\t\n]*\"value\"\\' colon start_items_value_1_value object_end;\nstart_items_value_1_value ::= number;\nstart_items_value_1_name ::= string;\nstart_items_value_0 ::= string;\n'''\n\nsnapshots['test_schema_with_dynamic_ref 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"data\"\\' colon start_data comma #\\'[ \\t\n]*\"children\"\\' colon start_children comma #\\'[ \\t\n]*\"metadata\"\\' colon start_metadata object_end;\nstart_metadata ::= start_metadata_required?;\nstart_metadata_required ::= string;\nstart_children ::= start_children_required?;\nstart_children_required ::= array_begin (start_children_required_value (comma start_children_required_value)*)? array_end;\nstart_children_required_value ::= object_begin #'[ \\t\n]*\"data\"\\' colon start_children_required_value_data comma #\\'[ \\t\n]*\"children\"\\' colon start_children_required_value_children comma #\\'[ \\t\n]*\"metadata\"\\' colon start_children_required_value_metadata object_end;\nstart_children_required_value_metadata ::= start_children_required_value_metadata_required?;\nstart_children_required_value_metadata_required ::= string;\nstart_children_required_value_children ::= start_children_required_value_children_required?;\nstart_children_required_value_children_required ::= array_begin (start_children_required_value_children_required_value (comma start_children_required_value_children_required_value)*)? array_end;\nstart_children_required_value_children_required_value ::= object_begin #'[ \\t\n]*\"data\"\\' colon start_children_required_value_children_required_value_data comma #\\'[ \\t\n]*\"children\"\\' colon start_children_required_value_children_required_value_children comma #\\'[ \\t\n]*\"metadata\"\\' colon start_children_required_value_children_required_value_metadata object_end;\nstart_children_required_value_children_required_value_metadata ::= start_children_required_value_children_required_value_metadata_required?;\nstart_children_required_value_children_required_value_metadata_required ::= string;\nstart_children_required_value_children_required_value_children ::= start_children_required_value_children_required_value_children_required?;\nstart_children_required_value_children_required_value_children_required ::= array_begin (start_children_required_value_children_required_value_children_required_value (comma start_children_required_value_children_required_value_children_required_value)*)? array_end;\nstart_children_required_value_children_required_value_children_required_value ::= start_children_required_value_children_required_value;\nstart_children_required_value_children_required_value_data ::= start_children_required_value_children_required_value_data_required?;\nstart_children_required_value_children_required_value_data_required ::= string;\nstart_children_required_value_data ::= start_children_required_value_data_required?;\nstart_children_required_value_data_required ::= string;\nstart_data ::= start_data_required?;\nstart_data_required ::= string;\n'''\n\nsnapshots['test_schema_with_embedded_schema 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"referencedEmbedded\"\\' colon start_referencedEmbedded object_end;\nstart_referencedEmbedded ::= object_begin #'[ \\t\n]*\"embeddedProperty\"\\' colon start_referencedEmbedded_embeddedProperty object_end;\nstart_referencedEmbedded_embeddedProperty ::= integer;\n'''\n\nsnapshots['test_schema_with_reference 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"name\"\\' colon start_name comma #\\'[ \\t\n]*\"age\"\\' colon start_age comma #\\'[ \\t\n]*\"address\"\\' colon start_address object_end;\nstart_address ::= object_begin #'[ \\t\n]*\"street\"\\' colon start_address_street comma #\\'[ \\t\n]*\"city\"\\' colon start_address_city comma #\\'[ \\t\n]*\"country\"\\' colon start_address_country object_end;\nstart_address_country ::= string;\nstart_address_city ::= string;\nstart_address_street ::= string;\nstart_age ::= integer;\nstart_name ::= string;\n'''\n\nsnapshots['test_schema_with_reference_to_number 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"mainProperty\"\\' colon start_mainProperty comma #\\'[ \\t\n]*\"numberReference\"\\' colon start_numberReference object_end;\nstart_numberReference ::= #'[ \\t\n]*0|[1-9][0-9]*(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?';\nstart_mainProperty ::= string;\n'''\n\nsnapshots['test_schema_with_string_metadata 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= object_begin #'[ \\t\n]*\"username\"\\' colon start_username comma #\\'[ \\t\n]*\"email\"\\' colon start_email comma #\\'[ \\t\n]*\"description\"\\' colon start_description comma #\\'[ \\t\n]*\"password\"\\' colon start_password object_end;\nstart_password ::= #'[ \\t\n]*\".*[A-Za-z].*\"\\';\nstart_description ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){0,200}\"\\';\nstart_email ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){3,}\"\\';\nstart_username ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt/]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4}){3,20}\"\\';\n'''\n\nsnapshots['test_schema_with_top_level_anyOf 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= start_0 | start_1 | start_2;\nstart_2 ::= string;\nstart_1 ::= array_begin (start_1_value (comma start_1_value)*)? array_end;\nstart_1_value ::= string;\nstart_0 ::= object_begin #'[ \\t\n]*\"name\"\\' colon start_0_name comma #\\'[ \\t\n]*\"age\"\\' colon start_0_age object_end;\nstart_0_age ::= integer;\nstart_0_name ::= string;\n'''\n\nsnapshots['test_schema_with_top_level_array 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= array_begin  comma start_item+ array_end;\nstart_item ::= json_value;\n'''\n\nsnapshots['test_schema_with_union_array_object 1'] = '''integer ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)\";\nnumber ::= #\"[ \\t\n]*-?(0|[1-9][0-9]*)(\\\\\\\\.[0-9]+)?([eE][+-]?[0-9]+)?\";\nstring ::= #'[ \\t\n]*\"([^\\\\\\\\\\\\\\\\\"\\\\u0000-\\\\u001f]|\\\\\\\\\\\\\\\\[\"\\\\\\\\\\\\\\\\bfnrt]|\\\\\\\\\\\\\\\\u[0-9A-Fa-f]{4})*\"\\';\nboolean ::= #\"[ \\t\n]*(true|false)\";\nnull ::= #\"[ \\t\n]*null\";\narray ::= array_begin (json_value (comma json_value)*)? array_end;\nobject ::= object_begin (string colon json_value (comma string colon json_value)*)? object_end;\njson_value ::= number|string|boolean|null|array|object;\ncomma ::= #\"[ \\t\n]*,\";\ncolon ::= #\"[ \\t\n]*:\";\nobject_begin ::= #\"[ \\t\n]*\\\\\\\\{\";\nobject_end ::= #\"[ \\t\n]*\\\\\\\\}\";\narray_begin ::= #\"[ \\t\n]*\\\\\\\\[\";\narray_end ::= #\"[ \\t\n]*\\\\\\\\]\";\nstart ::= start_0 | start_1;\nstart_1 ::= object_begin #'[ \\t\n]*\"name\"\\' colon start_1_name comma #\\'[ \\t\n]*\"age\"\\' colon start_1_age object_end;\nstart_1_age ::= start_1_age_required?;\nstart_1_age_required ::= integer;\nstart_1_name ::= string;\nstart_0 ::= array_begin (start_0_value (comma start_0_value)*)? array_end;\nstart_0_value ::= string;\n'''\n"
  },
  {
    "path": "tests/snapshots/snap_test_rwkv_integration.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_rwkv_integration 1'] = '''Hello, RWKV!\n'''\n\nsnapshots['test_rwkv_integration 2'] = '''Hello, RWKV!\n'''\n"
  },
  {
    "path": "tests/snapshots/snap_test_transformers_integration.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_transformers_batched_inference 1'] = [\n    '''<|endoftext|><|endoftext|>I am GPT2. Hello, Huggingface!\n<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>''',\n    '''<|endoftext|>I am another GPT2. Hello, Huggingface!\n<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>''',\n    '''I am yet another GPT2. Hello, Huggingface! Hello, Huggingface!\n<|endoftext|>'''\n]\n\nsnapshots['test_transformers_integration 1'] = [\n    '''I am GPT2. Hello, Huggingface!\n<|endoftext|>'''\n]\n\nsnapshots['test_transformers_sparse_formatters 1'] = [\n    '<|endoftext|><|endoftext|>I am GPT2. \\xa0I am GPT3. \\xa0I am GPT4. \\xa0I am GPT5. \\xa0I am GPT6. \\xa0I am GPT7. \\xa0I am GPT8. \\xa0I am GPT9. \\xa0I am GPT10. \\xa0I am GPT11. \\xa0I am GPT12. \\xa0I am GPT13. \\xa0I am GPT14. \\xa0I am G',\n    '''<|endoftext|>I am another GPT2. Hello, Huggingface!\n<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>''',\n    'I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. \\xa0I am a third GPT2. ',\n    '''I am a fourth GPT2. Hello, Huggingface!\n<|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|><|endoftext|>''',\n    'I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. \\xa0I am a fifth GPT2. '\n]\n\nsnapshots['test_transformers_text_generation_pipeline 1'] = {\n    'generated_text': '''I am GPT2. Hello, Huggingface!\n'''\n}\n"
  },
  {
    "path": "tests/snapshots/snap_test_vllm_integration.py",
    "content": "# -*- coding: utf-8 -*-\n# snapshottest: v1 - https://goo.gl/zC4yUc\nfrom __future__ import unicode_literals\n\nfrom snapshottest import Snapshot\n\n\nsnapshots = Snapshot()\n\nsnapshots['test_vllm_integration 1'] = \"Prompt: 'Hello, my name is', Generated text: 'definitely vllm!\\\\n'\"\n\nsnapshots['test_vllm_integration 2'] = \"Prompt: 'The future of AI is', Generated text: '强大的【VLLM】！！！\\\\n'\"\n\nsnapshots['test_vllm_integration_sparse 1'] = \"Prompt: 'The first prompt is', Generated text: 'formatted with vllm!\\\\n'\"\n\nsnapshots['test_vllm_integration_sparse 2'] = \"Prompt: 'The second prompt is', Generated text: ' a list of all the items in the list.\\\\n\\\\nThe third prompt is a list of all the items in the list.\\\\n\\\\nThe fourth prompt is a list of all the items in the list.\\\\n\\\\nThe fifth prompt is a list'\"\n\nsnapshots['test_vllm_integration_sparse 3'] = \"Prompt: 'The third prompt is', Generated text: 'also formatted but is slightly longer!\\\\n'\"\n\nsnapshots['test_vllm_integration_sparse 4'] = 'Prompt: \\'The fourth prompt is\\', Generated text: \\' a \"I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry, I\\\\\\'m sorry,\\''\n"
  },
  {
    "path": "tests/test_exllamav2_integration.py",
    "content": "from exllamav2 import ExLlamaV2, ExLlamaV2Config, ExLlamaV2Cache, ExLlamaV2Tokenizer\nfrom exllamav2.generator import ExLlamaV2DynamicGenerator\nimport formatron.schemas.json_schema\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.exllamav2 import create_formatter_filter\nfrom exllamav2.generator import ExLlamaV2Sampler\nimport kbnf\nimport torch\nimport gc\nfrom formatron.integrations.exllamav2 import create_engine_vocabulary, FormatterFilter\n\ndef test_exllamav2_integration(snapshot):\n    model_dir = \"local_assets/Meta-Llama-3-8B-Instruct-32k/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Exllamav2!\")\n    exllama_filter = create_formatter_filter(model, tokenizer, f)\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    output = generator.generate(\n        prompt=\"Hello, cats! \",\n        max_new_tokens=200,\n        add_bos=True,\n        filters=[exllama_filter]\n    )\n    snapshot.assert_match(output)\n    del model\n    del generator\n    del cache\n    del exllama_filter\n    torch.cuda.empty_cache()\n    gc.collect()\n\ndef test_exllamav2_json_schema(snapshot):\n    model_dir = \"local_assets/Meta-Llama-3-8B-Instruct-32k/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n    f = FormatterBuilder()\n    json_schema = {\n        \"$id\": \"https://example.com/person\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"emotion\": {\n                \"type\": \"string\",\n                \"enum\": [\"happy\", \"sad\", \"angry\", \"disgusted\", \"amused\"]\n            }\n        },\n        \"required\": [\n            \"emotion\"\n        ]\n    }\n    schema = formatron.schemas.json_schema.create_schema(json_schema)\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    vocab = create_engine_vocabulary(tokenizer, None)\n    config = kbnf.Config()\n    config.regex_config.min_tokens_required_for_eager_regex_cache = None\n    f = f.build(vocab, lambda tokens: tokenizer.decode(torch.tensor(tokens)), config)\n    exllama_filter = FormatterFilter(model, tokenizer, f)\n    tokens = tokenizer.encode('{\"emotion\":\"angry\",}').squeeze()\n    for token in tokens:\n        print(token)\n        print(tokenizer.decode(token.unsqueeze(0)))\n        print(498 in exllama_filter._formatter.get_allowed_tokens_since_last_computation())\n        try:\n            exllama_filter.feed(token)\n            exllama_filter._formatter.compute_allowed_tokens()\n        except Exception as e:\n            print(e)\n            file = open(\"engine.txt\", \"w\")\n            file.write(str(exllama_filter._formatter))\n            file.close()\n            return\n    exllama_filter.reset()\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    settings = ExLlamaV2Sampler.Settings()\n    settings.temperature = 5.0\n    settings.top_p = 0.95\n    output = generator.generate(\n        prompt=\"Using the given JSON schema, give me an emotion from the following text: \\nUgggghhh, why do you have to be such a jerk!\",\n        max_new_tokens=200,\n        add_bos=True,\n        filters=[exllama_filter],\n        gen_settings=settings\n    )\n    snapshot.assert_match(output)\n    del model\n    del generator\n    del cache\n    del exllama_filter\n    torch.cuda.empty_cache()\n    gc.collect()\n\n\ndef test_exllamav2_utf_8(snapshot):\n    gc.collect()\n    model_dir = \"local_assets/Meta-Llama-3-8B-Instruct-32k/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n\n    f = FormatterBuilder()\n    f.append_line(\"你好，土豆！\")\n    exllama_filter = create_formatter_filter(model, tokenizer, f)\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    output = generator.generate(\n        prompt=\"Hello, cats! \",\n        max_new_tokens=200,\n        add_bos=True,\n        filters=[exllama_filter]\n    )\n    snapshot.assert_match(output)\n    del model\n    del generator\n    del cache\n    del exllama_filter\n    torch.cuda.empty_cache()\n    gc.collect()\n\n\ndef test_exllamav2_batched_inference(snapshot):\n    model_dir = \"local_assets/Meta-Llama-3-8B-Instruct-32k/\"\n    config = ExLlamaV2Config(model_dir)\n    model = ExLlamaV2(config)\n    cache = ExLlamaV2Cache(model, max_seq_len=4096, lazy=True)\n    model.load_autosplit(cache, progress=True)\n    tokenizer = ExLlamaV2Tokenizer(config)\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Exllamav2!\")\n    exllama_filter = create_formatter_filter(model, tokenizer, f)\n    exllama_filter2 = create_formatter_filter(model, tokenizer, f)\n    generator = ExLlamaV2DynamicGenerator(\n        model=model,\n        cache=cache,\n        tokenizer=tokenizer,\n    )\n    output = generator.generate(\n        prompt=[\"Hello, cats! \", \"Hello, dogs! \"],\n        max_new_tokens=200,\n        add_bos=True,\n        filters=[[exllama_filter], [exllama_filter2]]\n    )\n    snapshot.assert_match(output)\n    del model\n    del generator\n    del cache\n    del exllama_filter\n    torch.cuda.empty_cache()\n    gc.collect()\n"
  },
  {
    "path": "tests/test_formatter.py",
    "content": "from typing import Literal\nfrom formatron.schemas import json_schema\nfrom formatron.schemas.dict_inference import infer_mapping\nfrom formatron.formatter import FormatterBuilder\nimport formatron.schemas.pydantic\nimport formatron.integrations.RWKV\nfrom rwkv.model import RWKV\nimport numpy as np\nimport formatron\n\n\n\nclass Test(formatron.schemas.pydantic.ClassSchema):\n    name: str\n    weight: float\n    color: str\n\n\ndef test_formatter(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    a = f.choose('railroad', 'orange', 'banana', capture_name='food')\n    f.append_line(\n        f\"Today, I want to eat {a}\")\n    f.append_str(\n        f\"My food's ID is {f.choose(f.regex('[0-9]+'), f.regex('[a-z]+'), capture_name='ID')}.\\n\")\n    f.append_multiline_str(\"\"\"\n                            What's more, indentations\n                            are handled\n                            appropriately.\"\"\")\n    f.append_line(\n        f\"My weight is 14.4kg and my color is pink. This is my personal info json: {f.json(Test, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"My name is Van. \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n\ndef test_formatter_str(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_line(f\"{f.str(stop=['.'])}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"My name is Van. \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\ndef test_formatter_substr(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_str(f\"{f.substr('Name: Umbrella; Price: 114.514 dollars;', extract_empty_substring=True, capture_name='substr')}<eos>\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(pipeline.generate(\"Umbrella Price: 114.514 dollars. The price of the umbrella is\",\n                                             token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n\ndef test_formatter_dict_inference(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_line(\n        f\"{f.json(infer_mapping({'name': 'xxx', 'gender': 'xxx'}), capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"This is a random json: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\ndef test_formatter_json_schema(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    schema = {\n        \"$id\": \"https://example.com/person.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"name\": {\n                \"type\": \"string\"\n            },\n            \"age\": {\n                \"type\": \"integer\"\n            }\n        },\n        \"required\": [\"name\", \"age\"]\n    }\n    schema = json_schema.create_schema(schema)\n    f.append_line(\n        f\"{f.json(schema, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(\n        pipeline.generate(\"This is a random json: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n\ndef test_formatter_top_level_array_json_schema(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    schema = {\n        \"$id\": \"https://example.com/array.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"id\": {\"type\": \"integer\"},\n                \"name\": {\"type\": \"string\"},\n                \"active\": {\"type\": \"boolean\"}\n            },\n            \"required\": [\"id\", \"name\"]\n        },\n        \"minItems\": 1,\n        \"maxItems\": 5\n    }\n    schema = json_schema.create_schema(schema)\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"Generate a JSON array of users: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n\ndef test_formatter_callable_schema(snapshot):\n    @formatron.schemas.pydantic.callable_schema\n    def add(a: int, b: int, /, *, c: int):\n        return a + b + c\n\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_line(\n        f\"{f.json(add, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"This is a random json: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\ndef test_grammar_literal(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    class A(formatron.schemas.pydantic.ClassSchema):\n        a: Literal['114', '514']\n    f.append_line(\n        f\"{f.json(A, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"This is a random json: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n\ndef test_formatter_alternate_accept(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_str(f\"Name: {f.str(stop=[','], capture_name='name')}\")\n    f.append_str(f\"Age: {f.regex('[0-9]+', capture_name='age')}\")\n\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    \n    formatter = pipeline.formatter\n    \n    # Simulate alternating between accept_token and accept_bytes\n    tokens = pipeline.tokenizer.encode(\"Name: John,\")\n    for token in tokens:\n        formatter.accept_token(token)\n    formatter.accept_bytes(b\"Age: \")\n    tokens = pipeline.tokenizer.encode(\"30\")\n    for token in tokens:\n        formatter.accept_token(token)\n    \n    snapshot.assert_match(formatter.captures)\n\n\ndef test_formatter_regex_complement(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_str(f\"Text: {f.regex_complement('[0-9]', capture_name='non_numeric')}\")\n    f.append_line(f\"Number: {f.regex('[0-9]+', capture_name='numeric')}\")\n\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    \n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"Here's some text followed by an integer: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n    # Test with manual input\n    formatter = pipeline.formatter\n    formatter.reset()\n    \n    input_text = \"Text: Hello, world! Number: 42\\n\"\n    for char in input_text:\n        formatter.accept_bytes(char.encode('utf-8'))\n    \n    snapshot.assert_match(formatter.captures)\n\ndef test_formatter_json_no_properties(snapshot):\n    import typing\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    f.append_str(f\"{f.json(typing.Dict[str, typing.Any], capture_name='data')}\")\n\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    \n    formatter = pipeline.formatter\n    \n    # Test with manual input\n    input_text = '{\"key\": \"value\", \"number\": 42}'\n    for char in input_text:\n        formatter.accept_bytes(char.encode('utf-8'))\n    \n    snapshot.assert_match(formatter.captures)\n\ndef test_utf8_json_key(snapshot):\n    FormatterBuilder._formatter_builder_counter = 0\n    f = FormatterBuilder()\n    schema = json_schema.create_schema({\n        \"$id\": \"https://example.com/array.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"土豆\": {\"type\": \"string\"},\n            \"\\(@^0^@)/\": {\"type\": \"string\"},\n            \"🍎\": {\"type\": \"string\"},\n        }\n    })\n    f.append_line(f\"{f.json(schema, capture_name='json')}\")\n    model = RWKV(\n        \"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    pipeline = formatron.integrations.RWKV.PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    np.random.seed(42)\n    snapshot.assert_match(pipeline.formatter.grammar_str)\n    snapshot.assert_match(\n        pipeline.generate(\"This is a random json: \", token_count=256, args=formatron.integrations.RWKV.PIPELINE_ARGS(top_p=0.5)))\n    snapshot.assert_match(pipeline.formatter.captures)\n\n"
  },
  {
    "path": "tests/test_grammar_gen.py",
    "content": "import decimal\nimport json\nimport typing\n\nfrom pydantic import Field, NegativeFloat, NegativeInt, NonNegativeFloat, NonNegativeInt, NonPositiveFloat, NonPositiveInt, PositiveFloat, PositiveInt\nfrom referencing import Registry, Resource\n\nfrom formatron.formats.json import JsonExtractor\nfrom formatron.schemas import json_schema\nimport formatron.schemas.pydantic\nfrom formatron.schemas.dict_inference import infer_mapping\n\nnew_int = typing.NewType(\"new_int\", int)\nvector = list[int]\n\n\nclass Test(formatron.schemas.pydantic.ClassSchema):\n    a: typing.Annotated[str, Field(\"OK\"), \"114\":514, Field(\"OK2\")]\n    b: int = 1\n    c: typing.Literal[\"114'\\\"\", \"514\", True, typing.Literal[\"1919\", \"810\"]]\n    e: tuple[typing.List[float], str, decimal.Decimal,\n             typing.Dict, dict[str, typing.Any]]\n    f: typing.Union[bool, int, typing.Any, new_int, vector]\n\n\nclass LinkedList(formatron.schemas.pydantic.ClassSchema):\n    value: int\n    next: typing.Optional[\"LinkedList\"]\n\n\ndef test_pydantic_substring_constraint(snapshot):\n    class SubstringConstraints(formatron.schemas.pydantic.ClassSchema):\n        substring_str: typing.Annotated[str, Field(substring_of=\"Hello, world!\")]\n\n    result = JsonExtractor(\"start\", None, SubstringConstraints, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_json_schema_substring_constraint(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/substring-schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"substring_str\": {\n                \"type\": \"string\",\n                \"substringOf\": \"Hello, world!\"\n            },\n        },\n        \"required\": [\"substring_str\"]\n    }\n\n    SubstringSchema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, SubstringSchema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_json_schema_object_without_properties(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/object-schema\",\n        \"type\": \"object\"\n    }\n\n    ObjectSchema = json_schema.create_schema(schema)\n    print(ObjectSchema)\n    result = JsonExtractor(\"start\", None, ObjectSchema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_pydantic_class(snapshot):\n    result = JsonExtractor(\"start\", None,Test,lambda x:x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_pydantic_string_constraints(snapshot):\n    class StringConstraints(formatron.schemas.pydantic.ClassSchema):\n        min_length_str: typing.Annotated[str, Field(min_length=3)]\n        max_length_str: typing.Annotated[str, Field(max_length=10)]\n        pattern_str: typing.Annotated[str, Field(pattern=r'[a-zA-Z0-9]+')]\n        combined_str: typing.Annotated[str, Field(min_length=2, max_length=5)]\n\n    result = JsonExtractor(\"start\", None, StringConstraints, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_pydantic_integer_constraints(snapshot):\n    class IntegerConstraints(formatron.schemas.pydantic.ClassSchema):\n        gt_int: typing.Annotated[int, Field(gt=0)]\n        ge_int: typing.Annotated[int, Field(ge=0)]\n        lt_int: typing.Annotated[int, Field(lt=0)]\n        le_int: typing.Annotated[int, Field(le=0)]\n        positive_int: PositiveInt\n        negative_int: NegativeInt\n        nonnegative_int: NonNegativeInt\n        nonpositive_int: NonPositiveInt\n\n    result = JsonExtractor(\"start\", None, IntegerConstraints, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_pydantic_float_constraints(snapshot):\n    class FloatConstraints(formatron.schemas.pydantic.ClassSchema):\n        gt_float: typing.Annotated[float, Field(gt=0.0)]\n        ge_float: typing.Annotated[float, Field(ge=0.0)]\n        lt_float: typing.Annotated[float, Field(lt=0.0)]\n        le_float: typing.Annotated[float, Field(le=0.0)]\n        positive_float: PositiveFloat\n        negative_float: NegativeFloat\n        nonnegative_float: NonNegativeFloat\n        nonpositive_float: NonPositiveFloat\n\n    result = JsonExtractor(\"start\", None, FloatConstraints, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_pydantic_sequence_constraints(snapshot):\n    class SequenceConstraints(formatron.schemas.pydantic.ClassSchema):\n        min_2_list: typing.Annotated[typing.List[int], Field(min_length=2)]\n        max_5_list: typing.Annotated[typing.List[str], Field(max_length=5)]\n        min_1_max_3_list: typing.Annotated[typing.List[float], Field(min_length=1, max_length=3)]\n        min_2_tuple: typing.Annotated[typing.Tuple[int, ...], Field(min_length=2)]\n        max_5_tuple: typing.Annotated[typing.Tuple[str, ...], Field(max_length=5)]\n        min_1_max_3_tuple: typing.Annotated[typing.Tuple[float, ...], Field(min_length=1, max_length=3)]\n        empty_list: typing.Annotated[typing.List[typing.Any], Field(min_length=0)]\n\n    result = JsonExtractor(\"start\", None, SequenceConstraints, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_json_schema_integer_constraints(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/integer-constraints-schema.json\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"gt_int\": {\n                \"type\": \"integer\",\n                \"exclusiveMinimum\": 0\n            },\n            \"ge_int\": {\n                \"type\": \"integer\",\n                \"minimum\": 0\n            },\n            \"lt_int\": {\n                \"type\": \"integer\",\n                \"exclusiveMaximum\": 0\n            },\n            \"le_int\": {\n                \"type\": \"integer\",\n                \"maximum\": 0\n            },\n        },\n        \"required\": [\"gt_int\", \"ge_int\", \"lt_int\", \"le_int\"]\n    }\n    schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_json_schema_number_constraints(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/number-constraints-schema.json\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"gt_number\": {\n                \"type\": \"number\",\n                \"exclusiveMinimum\": 0\n            },\n            \"ge_number\": {\n                \"type\": \"number\",\n                \"minimum\": 0\n            },\n            \"lt_number\": {\n                \"type\": \"number\",\n                \"exclusiveMaximum\": 0\n            },\n            \"le_number\": {\n                \"type\": \"number\",\n                \"maximum\": 0\n            },\n        },\n        \"required\": [\"gt_number\", \"ge_number\", \"lt_number\", \"le_number\"]\n    }\n    schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_json_schema_array_min_max_items_constraints(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/array-constraints-schema.json\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"min_items_array\": {\n                \"type\": \"array\",\n                \"items\": {\"type\": \"string\"},\n                \"minItems\": 2\n            },\n            \"max_items_array\": {\n                \"type\": \"array\",\n                \"items\": {\"type\": \"number\"},\n                \"maxItems\": 3\n            },\n            \"min_max_items_array\": {\n                \"type\": \"array\",\n                \"items\": {\"type\": \"boolean\"},\n                \"minItems\": 1,\n                \"maxItems\": 4\n            },\n        },\n        \"required\": [\"min_items_array\", \"max_items_array\", \"min_max_items_array\"]\n    }\n    schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_json_schema_array_prefix_items(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/prefix-items-schema.json\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"2_5_prefix_items\": {\n                \"type\": \"array\",\n                \"prefixItems\": [\n                    {\"type\": \"string\"},\n                    {\"type\": \"number\"},\n                    {\"type\": \"boolean\"}\n                ],\n                \"items\": False,\n                \"minItems\": 2,\n                \"maxItems\": 5\n            },\n            \"1_4_prefix_items\": {\n                \"type\": \"array\",\n                \"prefixItems\": [\n                    {\"type\": \"string\"},\n                    {\"type\": \"number\"}\n                ],\n                \"items\": {\"type\": \"boolean\"},\n                \"minItems\": 1,\n                \"maxItems\": 4\n            },\n            \"3__prefix_items\": {\n                \"type\": \"array\",\n                \"prefixItems\": [\n                    {\"type\": \"string\"},\n                    {\"type\": \"number\"}\n                ],\n                \"minItems\": 3,\n            },\n            \"0_4_prefix_items\": {\n                \"type\": \"array\",\n                \"prefixItems\": [{\"type\": \"string\"}],\n                \"maxItems\": 4\n            },\n            \"simple_prefix_items\": {\n                \"type\": \"array\",\n                \"prefixItems\": [{\"type\": \"string\"}],\n            }\n        },\n        \"required\": [\"2_5_prefix_items\", \"1_4_prefix_items\", \"3__prefix_items\", \"0_4_prefix_items\", \"simple_prefix_items\"]\n    }\n    schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_json_schema(snapshot):\n    schema = {\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$id\": \"https://example.com/random-schema.json\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"name\": {\n                \"type\": [\"string\", \"number\"],\n                \"description\": \"The name of the item\"\n            },\n            \"price\": {\n                \"type\": \"number\",\n                \"minimum\": 0,\n                \"description\": \"The price of the item\"\n            },\n            \"tags\": {\n                \"type\": \"array\",\n                \"items\": {\n                    \"type\": [\"string\", \"number\"]\n                },\n                \"minItems\": 1,\n                \"uniqueItems\": True,\n                \"description\": \"Tags associated with the item\"\n            },\n            \"inStock\": {\n                \"type\": \"boolean\",\n                \"description\": \"Whether the item is in stock\"\n            },\n            \"category\": {\n                \"type\": [\"string\",\"integer\", \"number\", \"null\"],\n                \"enum\": [\"electronics\", 114, 514.1, None, ['114', 514, 514.1, True], {\"a\":1, \"b\":2.3}],\n                \"description\": \"The category of the item\"\n            },\n            \"sku\": {\n                \"type\": \"string\",\n                \"const\": \"ITEM-001\",\n                \"description\": \"The stock keeping unit (SKU) of the item\"\n            }\n        },\n        \"required\": [\"name\", \"price\", \"category\", \"sku\"]\n    }\n    schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None,schema,lambda x:x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_recursive_binary_tree_schema(snapshot):\n    binary_tree_schema = {\n        \"$id\": \"https://example.com/binary-tree.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"value\": {\"type\": \"number\"},\n            \"left\": {\"$ref\": \"#\"},\n            \"right\": {\"$ref\": \"#\"}\n        },\n        \"required\": [\"value\"]\n    }\n    schema = json_schema.create_schema(binary_tree_schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_recursive_linked_list_schema(snapshot):\n    linked_list_schema = {\n        \"$id\": \"https://example.com/linked-list.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"value\": {\"type\": \"integer\"},\n            \"next\": {\n                \"$ref\": \"#\"\n            }\n        },\n        \"required\": [\"value\"]\n    }\n    schema = json_schema.create_schema(linked_list_schema)\n    result = JsonExtractor(\"start\", None, schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_reference(snapshot):\n    schema1 = {\n        \"$id\": \"https://example.com/person.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"name\": {\"type\": \"string\"},\n            \"age\": {\"type\": \"integer\"},\n            \"address\": {\"$ref\": \"https://example.com/address.json\"}\n        },\n        \"required\": [\"name\", \"age\", \"address\"]\n    }\n\n    schema2 = {\n        \"$id\": \"https://example.com/address.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"street\": {\"type\": \"string\"},\n            \"city\": {\"type\": \"string\"},\n            \"country\": {\"type\": \"string\"}\n        },\n        \"required\": [\"street\", \"city\", \"country\"]\n    }\n\n    combined_schema = json_schema.create_schema(schema1, Resource.from_contents(schema2) @ Registry())\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_anchor_reference(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/main.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"mainProperty\": {\"type\": \"string\"},\n            \"referencedObject\": {\"$ref\": \"#referenced\"},\n            \"referencedObject2\": {\"$ref\": \"#/$defs/referenced\"}\n        },\n        \"required\": [\"mainProperty\", \"referencedObject\", \"referencedObject2\"],\n        \"$defs\": {\n            \"referenced\": {\n                \"$anchor\": \"referenced\",\n                \"type\": \"object\",\n                \"properties\": {\n                    \"subProperty\": {\"type\": \"integer\"}\n                },\n                \"required\": [\"subProperty\"]\n            }\n        }\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_embedded_schema(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/parent.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"parentProperty\": {\"type\": \"string\"},\n            \"embeddedObject\": {\n                \"$id\": \"https://example.com/schemas/embedded.json\",\n                \"type\": \"object\",\n                \"properties\": {\n                    \"embeddedProperty\": {\"type\": \"integer\"}\n                },\n                \"required\": [\"embeddedProperty\"]\n            }\n        },\n        \"required\": [\"parentProperty\", \"embeddedObject\"]\n    }\n    schema_with_reference = {\n        \"$id\": \"https://example.com/schemas/referencing.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"referencedEmbedded\": {\"$ref\": \"https://example.com/schemas/embedded.json\"}\n        },\n        \"required\": [\"referencedEmbedded\"]\n    }\n\n    # Combine both schemas\n    combined_schema = json_schema.create_schema(schema_with_reference, Resource.from_contents(schema) @ Registry())\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_reference_to_number(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/number-reference.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"mainProperty\": {\"type\": \"string\"},\n            \"numberReference\": {\"$ref\": \"#/$defs/numberDef\"}\n        },\n        \"required\": [\"mainProperty\", \"numberReference\"],\n        \"$defs\": {\n            \"numberDef\": {\n                \"type\": \"number\",\n                \"minimum\": 0,\n                \"maximum\": 100\n            }\n        }\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_schema_with_top_level_array(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/top-level-array.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"array\",\n        \"items\": {\n            \"type\": \"object\",\n            \"properties\": {\n                \"id\": {\"type\": \"integer\"},\n                \"name\": {\"type\": \"string\"},\n                \"active\": {\"type\": \"boolean\"}\n            },\n            \"required\": [\"id\", \"name\"]\n        },\n        \"minItems\": 1\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_union_array_object(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/union-array-object.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": [\"array\", \"object\"],\n        \"items\": {\n            \"type\": \"string\"\n        },\n        \"properties\": {\n            \"name\": {\"type\": \"string\"},\n            \"age\": {\"type\": \"integer\"}\n        },\n        \"required\": [\"name\"]\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_top_level_anyOf(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/top-level-anyOf.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"anyOf\": [\n            {\n                \"type\": \"object\",\n                \"properties\": {\n                    \"name\": {\"type\": \"string\"},\n                    \"age\": {\"type\": \"integer\"}\n                },\n                \"required\": [\"name\", \"age\"]\n            },\n            {\n                \"type\": \"array\",\n                \"items\": {\n                    \"type\": \"string\"\n                }\n            },\n            {\n                \"type\": \"string\"\n            }\n        ]\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_string_metadata(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/string-with-metadata.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"username\": {\n                \"type\": \"string\",\n                \"minLength\": 3,\n                \"maxLength\": 20,\n            },\n            \"email\": {\n                \"type\": \"string\",\n                \"minLength\": 3\n            },\n            \"description\": {\n                \"type\": \"string\",\n                \"maxLength\": 200\n            },\n            \"password\": {\n                \"type\": \"string\",\n                \"pattern\": \".*[A-Za-z].*\"\n            }\n        },\n        \"required\": [\"username\", \"email\", \"description\", \"password\"]\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_schema_with_anyOf_inside_array(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/schemas/anyOf-inside-array.json\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"items\": {\n                \"type\": \"array\",\n                \"items\": {\n                    \"anyOf\": [\n                        {\"type\": \"string\"},\n                        {\n                            \"type\": \"object\",\n                            \"properties\": {\n                                \"name\": {\"type\": \"string\"},\n                                \"value\": {\"type\": \"number\"}\n                            },\n                            \"required\": [\"name\", \"value\"]\n                        },\n                        {\"type\": \"boolean\"}\n                    ]\n                }\n            }\n        },\n        \"required\": [\"items\"]\n    }\n\n    combined_schema = json_schema.create_schema(schema)\n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_pydantic_class_linked_list(snapshot):\n    result = JsonExtractor(\"start\", None,LinkedList,lambda x:x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_pydantic_callable(snapshot):\n    @formatron.schemas.pydantic.callable_schema\n    def foo(a: int, b: typing.Annotated[int, \"1124\"] = 2):\n        return a + b\n\n    result = JsonExtractor(\"start\", None,foo,lambda x:x).kbnf_definition\n    snapshot.assert_match(result)\n\n\ndef test_infer_mapping(snapshot):\n    result = JsonExtractor(\"start\", None,infer_mapping(json.loads(\"\"\"\n    {\n      \"mode\": \"xx\",\n      \"title\": \"xx\",\n      \"queries\": [\"xx\", 2, true],\n      \"related_queries\": [{\"foo\":514}, \"xx\", \"xx\"],\n      \"concepts\": [\"xx\", \"xx\", \"xx\"],\n      \"urls\": [\"xx\", \"xx\", \"xx\"]\n    }\n    \"\"\")),lambda x:x).kbnf_definition\n    snapshot.assert_match(result)\n\ndef test_schema_with_dynamic_ref(snapshot):\n    schema = {\n        \"$id\": \"https://example.com/tree\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$dynamicAnchor\": \"node\",\n        \"type\": \"object\",\n        \"properties\": {\n            \"data\": {\"type\": \"string\"},\n            \"children\": {\n                \"type\": \"array\",\n                \"items\": {\"$dynamicRef\": \"#node\"}\n            }\n        }\n    }\n\n    extended_schema = {\n        \"$id\": \"https://example.com/extended-tree\",\n        \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n        \"$ref\": \"https://example.com/tree\",\n        \"$dynamicAnchor\": \"node\",\n        \"properties\": {\n            \"data\": {\"type\": \"string\"},\n            \"children\": {\n                \"type\": \"array\",\n                \"items\": {\"$dynamicRef\": \"#node\"}\n            },\n            \"metadata\": {\"type\": \"string\"}\n        }\n    }\n\n    combined_schema = json_schema.create_schema(extended_schema, Resource.from_contents(schema) @ Registry())\n    \n    result = JsonExtractor(\"start\", None, combined_schema, lambda x: x).kbnf_definition\n    snapshot.assert_match(result)\n"
  },
  {
    "path": "tests/test_rwkv_integration.py",
    "content": "from rwkv.model import RWKV\n\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.RWKV import PIPELINE\n\n\ndef test_rwkv_integration(snapshot):\n    model = RWKV(\"assets/RWKV-5-World-0.4B-v2-20231113-ctx4096.pth\", 'cuda fp16')\n    f = FormatterBuilder()\n    f.append_line(f\"Hello, RWKV!\")\n    pipeline = PIPELINE(model, \"rwkv_vocab_v20230424\", f)\n    snapshot.assert_match(pipeline.generate(\"你好！\"))\n    snapshot.assert_match(pipeline.generate(\"你好！\"))"
  },
  {
    "path": "tests/test_transformers_integration.py",
    "content": "from formatron.integrations.transformers import create_formatter_logits_processor_list\nfrom formatron.formatter import FormatterBuilder\nfrom transformers import GPT2LMHeadModel\nimport transformers\n\ndef test_transformers_integration(snapshot):\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Huggingface!\")\n    model = GPT2LMHeadModel.from_pretrained(\"openai-community/gpt2\", device_map=\"cuda:0\")\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"openai-community/gpt2\")\n    # Remove the annoying warning\n    model.generation_config.pad_token_id = tokenizer.eos_token_id\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    inputs = tokenizer([\"I am GPT2. \"], return_tensors=\"pt\").to(device=\"cuda:0\")\n    snapshot.assert_match(\n        tokenizer.batch_decode(model.generate(**inputs, max_new_tokens=100, logits_processor=logits_processor)))\n\n\ndef test_transformers_batched_inference(snapshot):\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Huggingface!\")\n    f3 = FormatterBuilder()\n    f3.append_line(\"Hello, Huggingface! Hello, Huggingface!\")\n    model = GPT2LMHeadModel.from_pretrained(\"openai-community/gpt2\",device_map=\"cuda:0\")\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\"openai-community/gpt2\",\n                                                           padding_side='left')\n    tokenizer.pad_token = tokenizer.eos_token  # Needed for padding\n    model.generation_config.pad_token_id = tokenizer.pad_token_id\n    logits_processor = create_formatter_logits_processor_list(tokenizer, [\n                                                              f, f, f3])\n    inputs = tokenizer([\"I am GPT2. \", \"I am another GPT2. \", \"I am yet another GPT2. \"], return_tensors=\"pt\",\n                       padding=True).to(device=\"cuda:0\")\n    snapshot.assert_match(\n        tokenizer.batch_decode(model.generate(**inputs, max_new_tokens=100, logits_processor=logits_processor)))\n    # Special tokens are not skipped for debugging purpose. In application, you probably want to skip.\n\n\ndef test_transformers_sparse_formatters(snapshot):\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Huggingface!\")\n    model = GPT2LMHeadModel.from_pretrained(\"openai-community/gpt2\",device_map=\"cuda:0\")\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\"openai-community/gpt2\",\n                                                           padding_side='left')\n    tokenizer.pad_token = tokenizer.eos_token\n    model.generation_config.pad_token_id = tokenizer.pad_token_id\n    \n    # Create a sparse array of formatter builders\n    sparse_formatters = [None, f, None, f, None]\n    \n    logits_processor = create_formatter_logits_processor_list(tokenizer, sparse_formatters)\n    \n    inputs = tokenizer([\"I am GPT2. \", \"I am another GPT2. \", \"I am a third GPT2. \", \"I am a fourth GPT2. \", \"I am a fifth GPT2. \"], \n                       return_tensors=\"pt\", padding=True).to(device=\"cuda:0\")\n    \n    outputs = model.generate(**inputs, max_new_tokens=100, logits_processor=logits_processor)\n    \n    snapshot.assert_match(tokenizer.batch_decode(outputs))\n\n\ndef test_transformers_text_generation_pipeline(snapshot):\n    f = FormatterBuilder()\n    f.append_line(\"Hello, Huggingface!\")\n    tokenizer = transformers.AutoTokenizer.from_pretrained(\n        \"openai-community/gpt2\",)\n    logits_processor = create_formatter_logits_processor_list(tokenizer, f)\n    pipeline = transformers.TextGenerationPipeline(\n        model=transformers.GPT2LMHeadModel.from_pretrained(\n            \"openai-community/gpt2\", device_map=\"cuda\"),\n        tokenizer=tokenizer,\n        logits_processor=logits_processor)\n    snapshot.assert_match(pipeline(\"I am GPT2. \", max_new_tokens=100)[0])\n"
  },
  {
    "path": "tests/test_vllm_integration.py",
    "content": "import gc\nimport torch\nfrom vllm import LLM, SamplingParams\nimport os\nos.environ[\"VLLM_USE_V1\"] = \"0\"\nfrom formatron.formatter import FormatterBuilder\nfrom formatron.integrations.vllm import create_formatters_logits_processor\n\n\ndef test_vllm_integration(snapshot):\n    prompts = [\n        \"Hello, my name is\",\n        \"The future of AI is\",\n    ]\n    llm = LLM(model=\"openai-community/gpt2\")\n    f = FormatterBuilder()\n    f.append_line(\"definitely vllm!\")\n    f2 = FormatterBuilder()\n    f2.append_line(\"强大的【VLLM】！！！\")\n    logits_processor = create_formatters_logits_processor(llm, [f, f2])\n    sampling_params = SamplingParams(max_tokens=50,temperature=0.8,skip_special_tokens=False, top_p=0.95, logits_processors=[logits_processor])\n    # Generate texts from the prompts. The output is a list of RequestOutput objects\n    # that contain the prompt, generated text, and other information.\n    outputs = llm.generate(prompts, sampling_params, )\n    # Print the outputs.\n    for output in outputs:\n        prompt = output.prompt\n        generated_text = output.outputs[0].text\n        snapshot.assert_match(f\"Prompt: {prompt!r}, Generated text: {generated_text!r}\")\n    # Clean up GPU memory\n    del llm\n    torch.cuda.empty_cache()\n    gc.collect()\n\n\ndef test_vllm_integration_sparse(snapshot):\n    prompts = [\n        \"The first prompt is\",\n        \"The second prompt is\",\n        \"The third prompt is\",\n        \"The fourth prompt is\",\n    ]\n    llm = LLM(model=\"openai-community/gpt2\")\n    \n    f1 = FormatterBuilder()\n    f1.append_line(\"formatted with vllm!\")\n    \n    f3 = FormatterBuilder()\n    f3.append_line(\"also formatted but is slightly longer!\")\n    \n    # Create a sparse array of formatter builders\n    sparse_formatters = [f1, None, f3, None]\n    \n    logits_processor = create_formatters_logits_processor(llm, sparse_formatters)\n    sampling_params = SamplingParams(max_tokens=50, temperature=0, skip_special_tokens=False, top_p=0.1, logits_processors=[logits_processor])\n    \n    outputs = llm.generate(prompts, sampling_params)\n    for output in outputs:\n        prompt = output.prompt\n        generated_text = output.outputs[0].text\n        snapshot.assert_match(f\"Prompt: {prompt!r}, Generated text: {generated_text!r}\")\n\n"
  }
]