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    "info": {
        "author": "Caleb Hattingh",
        "author_email": "caleb.hattingh@gmail.com",
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            "License :: OSI Approved :: Apache Software License",
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            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": ".. image:: https://travis-ci.org/cjrh/cjrh_math.svg?branch=master\n    :target: https://travis-ci.org/cjrh/cjrh_math\n\n.. image:: https://coveralls.io/repos/github/cjrh/cjrh_math/badge.svg?branch=master\n    :target: https://coveralls.io/github/cjrh/cjrh_math?branch=master\n\n.. image:: https://img.shields.io/pypi/pyversions/cjrh_math.svg\n    :target: https://pypi.python.org/pypi/cjrh_math\n\n.. image:: https://img.shields.io/github/tag/cjrh/cjrh_math.svg\n    :target: https://img.shields.io/github/tag/cjrh/cjrh_math.svg\n\n.. image:: https://img.shields.io/badge/install-pip%20install%20cjrh_math-ff69b4.svg\n    :target: https://img.shields.io/badge/install-pip%20install%20cjrh_math-ff69b4.svg\n\n.. image:: https://img.shields.io/pypi/v/cjrh_math.svg\n    :target: https://img.shields.io/pypi/v/cjrh_math.svg\n\n.. image:: https://img.shields.io/badge/calver-YYYY.MM.MINOR-22bfda.svg\n    :target: http://calver.org/\n\n\ncjrh_math\n======================\n\nA collection of handy maths functions.\n\nStreaming mean and variance\n---------------------------\n\nSometimes it can be very useful to update an *existing* mean and variance\nwith new data, rather than have to calculate it again over the whole set.\nThe functions below implement one of the algorithms described\nin `Wikipedia <https://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods>`_.\n\n.. code-block:: python\n\n    def update_mean(n: int, mean: float, value: float) -> float\n\nGiven a new ``value``, calculate a new mean using the existing ``mean`` and\nthe size of data, ``n``, seen so far.\n\n.. code-block:: python\n\n    def update_pvariance(n: int, mean: float, var: float, value: float) -> float\n    def update_variance(n: int, mean: float, var: float, value: float) -> float\n\nGiven a new ``value``, calculate a new variance using the existing ``mean``,\nexisting variance ``var``, and the size of data, ``n``, seen so far.\n\nNote that ``update_variance()`` is for *sample* variance while\n``update_pvariance()`` is for *population* variance.\n\nAll functions are pure and therefore thread-safe.\n",
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