{
    "info": {
        "author": "Yury Kirienko",
        "author_email": "yury.kirienko@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python :: 2.7",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "unseries\n########\n\n.. image:: https://badge.fury.io/py/unseries.svg\n       :target: https://badge.fury.io/py/unseries\n\n.. image:: https://travis-ci.org/kirienko/unseries.svg?branch=master\n       :target: https://travis-ci.org/kirienko/unseries\n\n.. image:: https://landscape.io/github/kirienko/unseries/master/landscape.png\n       :target: https://landscape.io/github/kirienko/unseries/master\n\nThis package allows to deal with power series which coefficients contain uncertainties.\n\n\nIt is build on top of ``uncertainties`` python package (see `here <https://pypi.python.org/pypi/uncertainties>`_).\n\nScope\n-----\nFor now the following fuctions are available:\n    - series addition and subtraction\n    - comparision (*greater than*, *less than*)\n    - series multiplication\n    - series inversion, i.e. ``Z(g) \u279d 1/Z(g)``\n    - series division (in the assumption that all powers are non-negative)\n    - exponentiation\n    - analitic differentiation\n    - substitution, i.e. calculation of a series ``Z(g)`` at the point ``g\u2080`` to a number with uncertainty\n    - approximation\n    - some technical functions: ``pprint``, ``save`` [to file],\n\nExample\n-------\nAssume two series:\n\n``Z\u2081(g) =  1.00(30) +  2.0000(30) g``\n\n``Z\u2082(g) = -1.0(4) - 2.000(4) g + 999.00(10) g\u00b2``\n\nThen\n``Z\u2081+Z\u2082 = 0.0(5) + 0.000(5) g + 999.00(10) g\u00b2``\n\n\n.. code-block:: python\n\n    from unseries import Series\n    z1 = Series(2, {0: ufloat(1, 0.3), 1: ufloat(2, .003)})\n    z2 = Series(3, {0: ufloat(-1, 0.4), 1: ufloat(-2, .004), 2: ufloat(999, .1)})\n    print z1 + z2",
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        "license": "GPL-3.0",
        "maintainer": "",
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        "name": "unseries",
        "package_url": "https://pypi.org/project/unseries/",
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        "summary": "Allows to deal with power series which coefficients contain uncertainties",
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