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        "author": "Jo\u00e3o Faria",
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        "description": "LogUniform\n==========\n\nA simple implementation of the log-uniform and modified log-uniform\ndistributions.\n\n|License MIT| |Travis build| |PyPI version|\n\nHow to use\n----------\n\nInstall it from pip (**LogUniform** only depends on numpy)\n\n::\n\n    pip install LogUniform\n\nand it's ready to use from Python\n\n.. code:: python\n\n    import loguniform\n\n**LogUniform** comes with two simple classes, ``LogUniform`` and ``ModifiedLogUniform``.\nThey are intended to mimic the API of ``scipy.stats`` \n(actually, the log-uniform distribution is already implemented in ``scipy.stats.reciprocal``;\nthe two implementations are compatible).\n\n.. code:: python\n\n    from loguniform import LogUniform, ModifiedLogUniform\n\n    d1 = LogUniform(a=1, b=1000)\n    d2 = ModifiedLogUniform(knee=1, b=1000)\n\nboth distributions ``d1`` and ``d2`` now have methods\n\n-  ``pdf(x)`` and ``logpdf(x)``\n-  ``cdf(x)``\n-  ``rvs(size)``\n\nto calculate the probability density function (and its logarithm), the\ncumulative density function, and to get random samples from the\ndistribution.\n\nLicense\n-------\n\nCopyright 2018 Jo\u00e3o Faria.\n\n**LogUniform** is free software made available under the MIT License. For\ndetails see the LICENSE_ file.\n\n.. _License: https://github.com/j-faria/LogUniform/blob/master/LICENSE\n.. |Travis build| image:: https://travis-ci.org/j-faria/LogUniform.svg?branch=master\n    :target: https://travis-ci.org/j-faria/LogUniform\n.. |License MIT| image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat\n   :target: https://github.com/j-faria/LogUniform/blob/master/LICENSE\n.. |PyPI version| image:: https://badge.fury.io/py/LogUniform.svg\n   :target: https://pypi.org/project/LogUniform/\n\n\n",
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