{
    "info": {
        "author": "Lepy",
        "author_email": "lepy@mailbox.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
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        "description": ".. image:: https://img.shields.io/pypi/v/phuzzy.svg\n    :target: https://pypi.python.org/pypi/phuzzy\n\n.. image:: https://readthedocs.org/projects/phuzzy/badge/?version=latest\n    :target: https://phuzzy.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://travis-ci.org/lepy/phuzzy.svg?branch=master\n    :target: https://travis-ci.org/lepy/phuzzy\n\n.. image:: https://coveralls.io/repos/github/lepy/phuzzy/badge.svg\n    :target: https://coveralls.io/github/lepy/phuzzy\n\n.. image:: https://pyup.io/repos/github/lepy/phuzzy/shield.svg\n    :target: https://pyup.io/repos/github/lepy/phuzzy/\n    :alt: Updates\n\n.. image:: https://api.codacy.com/project/badge/Grade/4814372e95c543a69c69004c853b17be\n    :target: https://www.codacy.com/app/lepy/phuzzy?utm_source=github.com&utm_medium=referral&utm_content=lepy/phuzzy&utm_campaign=Badge_Grade\n\n.. image:: https://img.shields.io/badge/Say%20Thanks-!-1EAEDB.svg\n    :target: https://saythanks.io/to/lepy\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1219617.svg\n   :target: https://doi.org/10.5281/zenodo.1219617\n\n\nPHUZZY\n======\n\n* python representation of fuzzy numbers|data\n* specify uncertainty easily\n\nUsage\n=====\n\nTo use phuzzy in a project:\n\n\n.. code-block:: python\n\n    # create a fuzzy number\n    p = phuzzy.Triangle(alpha0=[1,4], alpha1=[2],\n                        number_of_alpha_levels=5)\n    # show alpha levels\n    p.df\n\n.. code-block::\n\n       alpha     l    r\n    0   0.00  1.00  4.0\n    1   0.25  1.25  3.5\n    2   0.50  1.50  3.0\n    3   0.75  1.75  2.5\n    4   1.00  2.00  2.0\n\nAvailable shapes\n----------------\n\nUniform\n^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n    uni = phm.Uniform(alpha0=[1, 4], number_of_alpha_levels=5, name=\"x\")\n    uni.plot(show=True, filepath=\"uniform.png\", title=True)\n\nTriangle\n^^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n\n    tri = phm.Triangle(alpha0=[1, 4], alpha1=[2], number_of_alpha_levels=5)\n    tri.plot(show=False, filepath=\"triangle.png\", title=True)\n\nTrapezoid\n^^^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n    trap = phm.Trapezoid(alpha0=[1, 5], alpha1=[2, 3], number_of_alpha_levels=5)\n    trap.plot(show=False, filepath=\"trapezoid.png\", title=True)\n\nTruncNorm\n^^^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n    tn = phm.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"x\")\n    tn.plot(show=False, filepath=\"truncnorm.png\", title=True)\n\nTruncGenNorm\n^^^^^^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n    tgn = phm.TruncGenNorm(alpha0=[1, 4], alpha1=[2, 3], number_of_alpha_levels=15, beta=3.)\n    tgn.plot(show=False, filepath=\"truncgennorm.png\", title=True)\n\nSuperellipse\n^^^^^^^^^^^^\n\n.. code-block:: python\n\n    import phuzzy.mpl as phm\n    se = phm.Superellipse(alpha0=[-1, 2.], alpha1=None, m=1.0, n=.5, number_of_alpha_levels=17)\n    se.plot(show=True, filepath=\"superellipse.png\", title=True)\n\nBasic operations\n----------------\n\nAddition\n^^^^^^^^\n\n.. code-block:: python\n\n    x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)\n    y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"y\")\n    z = x + y\n    z.name = \"x+y\"\n\n\nSubstraction\n^^^^^^^^^^^^\n\n.. code-block:: python\n\n    x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)\n    y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"y\")\n    z = x - y\n    z.name = \"x-y\"\n\n\nMultiplication\n^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)\n    y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"y\")\n    z = x * y\n    z.name = \"x*y\"\n\nDivision\n^^^^^^^^\n\n.. code-block:: python\n\n    x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)\n    y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"y\")\n    z = x / y\n    z.name = \"x/y\"\n\n\nExponentiation\n^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    x = phuzzy.Trapezoid(alpha0=[0, 4], alpha1=[2, 3], number_of_alpha_levels=5)\n    y = phuzzy.TruncNorm(alpha0=[1, 3], number_of_alpha_levels=15, name=\"y\")\n    z = x ** y\n    z.name = \"x^y\"\n\n",
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