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        "author": "Kevin Jacobs",
        "author_email": "kevin91nl@gmail.com",
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            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: ISC License (ISCL)",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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        "description": "===============================\nindexr\n===============================\n\n.. image:: https://img.shields.io/pypi/v/indexr.svg\n    :target: https://pypi.python.org/pypi/indexr\n\n.. image:: https://img.shields.io/travis/kevin91nl/indexr.svg\n    :target: https://travis-ci.org/kevin91nl/indexr\n\n.. image:: https://readthedocs.org/projects/indexr/badge/\n    :target: https://readthedocs.org/projects/indexr/\n\n\nA general purpose indexer written in Python. Licensed under the MIT license.\n\n\nFeatures\n--------\nThe :code:`indexr.buildr` package is capable of constructing an inverted index.\n\nThe :code:`indexr.utils` package contains utilities, such as a tokenization method for converting a text to tokens.\n\nSetup\n-----\nThis package can be installed using pip:\n\n:code:`pip install indexr`\n\nExamples\n--------\nIn this example, an indexer is constructed for 3 files. The example uses the following 3 files:\n\n:code:`0.txt`:\n\n.. code-block:: resource\n\n    The 0th document.\n\n:code:`1.txt`:\n\n.. code-block:: resource\n\n    The 1st document.\n\n:code:`2.txt`:\n\n.. code-block:: resource\n\n    The 2nd document. Some words: repeat, repeat, repeat.\n\n\nThe following code sample can be found in the demo directory (:code:`demo/buildr.py`).\n\n\n.. code-block:: python\n\n    # Build the index\n    index = build_index(files, 'index', force_rebuild=True, indexer=SPIMI(show_progress=True))\n\n    # Try to find the word \"1st\"\n    print('All found occurrences of \"1st\":')\n    print(index.find('1st', frequencies=True), \"\\n\")\n\n    # Try to find the word \"The\"\n    print('All found occurrences of \"The\":')\n    print(index.find('The', frequencies=True), \"\\n\")\n\n    # Try to find the word \"repeat\"\n    print('All found occurrences of \"repeat\":')\n    print(index.find('repeat', frequencies=True), \"\\n\")\n\n\nIt gives the following output:\n\n.. code-block:: python\n\n    >>> All found occurrences of \"1st\":\n    >>> {'1.txt': 1}\n    >>>\n    >>> All found occurrences of \"The\":\n    >>> {'0.txt': 1, '1.txt': 1, '2.txt': 1}\n    >>>\n    >>> All found occurrences of \"repeat\":\n    >>> {'2.txt': 3}\n\nSo indeed, it finds 1 occurrence of \"1st\", 3 occurrences of \"The\" (1 occurrence in each file) and 3 occurrences of \"repeat\" (3 occurrences in one file).\n\nDocumentation\n-------------\nhttps://indexr.readthedocs.org\n\nCredits\n-------\n\nTools used in rendering this package:\n\n*  Cookiecutter_\n*  `cookiecutter-pypackage`_\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n\nHistory\n-------\n1.0.1 (2015-12-07)\n---------------------\n\n* First release, including the BSB algorithm and the SPIMI algorithm.\n\n0.1.0 (2015-12-04)\n---------------------\n\n* First release on PyPI.",
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