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        "author": "Haibao Tang, Brent Pedersen",
        "author_email": "bpederse@gmail.com",
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            "License :: OSI Approved :: BSD License",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
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            "Topic :: Scientific/Engineering"
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        "description": "# Fisher\\'s Exact Test\n\n[![image](https://travis-ci.org/brentp/fishers_exact_test.svg?branch=master)](https://travis-ci.org/brentp/fishers_exact_test)\n[![image](https://img.shields.io/pypi/v/fisher.svg)](https://pypi.org/project/fisher)\n\nSimple, fast implementation of [Fisher\\'s exact\ntest](http://en.wikipedia.org/wiki/Fisher's_exact_test). For example,\nfor the following table:\n\n|              | Having the property | Not having the property |\n| ------------ | ------------------- | ----------------------- |\n| Selected     | 12                  | 5                       |\n| Not selected | 29                  | 2                       |\n\nPerhaps we are interested in whether there is any difference of property\nin selected vs. non-selected groups, then we can do the Fisher\\'s exact\ntest.\n\n## Installation\n\nWithin this folder :\n\n    git clone git://github.com/brentp/fishers_exact_test.git\n    pip install .\n\nFrom PyPI :\n\n    pip install fisher\n\nOr install the development version :\n\n    pip install git+git://github.com/brentp/fishers_exact_test.git\n\n## Usage\n\n`fisher.pvalue()` accepts 4 values corresponding to the 2-by-2\ncontingency table, returns an object with attributes for left_tail,\nright_tail, and two_tail p-values :\n\n    >>> from fisher import pvalue\n    >>> mat = [[12, 5], [29, 2]]\n    >>> p = pvalue(12, 5, 29, 2)\n    >>> p.left_tail, p.right_tail, p.two_tail  # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS\n    (0.04455473783507..., 0.994525206021..., 0.0802685520741...)\n\n## Benchmark\n\nA simple benchmark that calls the Fisher\\'s exact test 1000 times (in\n`scripts/rfisher.py`):\n\n    calling python fisher...\n    iterations/sec: 3000.62526381\n    calling rpy fisher...\n    iterations/sec: 289.225902364\n    calling R directly...\n    iterations/sec: 244.36542276\n\nSo the cython fisher is up to 10 times faster than rpy or R version.",
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