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        "author": "righ",
        "author_email": "righ.m9@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python",
            "Topic :: Software Development"
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        "description": ".. image:: https://badge.fury.io/py/covertable.svg\n  :target: https://badge.fury.io/py/covertable\n\n.. image:: https://circleci.com/gh/walkframe/covertable.svg?style=shield\n  :target: https://circleci.com/gh/walkframe/covertable\n\n.. image:: https://codecov.io/gh/walkframe/covertable/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/walkframe/covertable\n\n.. image:: https://img.shields.io/badge/code%20style-black-000000.svg\n  :target: https://github.com/python/black\n\n.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg\n  :target: https://opensource.org/licenses/Apache-2.0\n\nRequirements\n============\n- Python: 3.3 or later.\n\n  - Tested with 3.7\n\n\nInstallation\n============\n\n.. code:: bash\n\n  $ pip install covertable\n\nUsage\n=====\nJust import ``covertable`` and call ``make`` function.\n\n.. code-block:: python3\n\n  >>> from covertable import make, sorters\n\n  >>> machine_list = ['iphone', 'pixel']\n  >>> os_list = ['ios', 'android']\n  >>> browser_list = ['FireFox', 'Chrome', 'Safari']\n\n  >>> # list input and output\n  ... make(\n  ...     [machine_list, os_list, browser_list],  # list factors\n  ...     length=2,  # default: 2\n  ...     sorter=sorters.greedy,  # default: sorters.sequential\n  ...     sort_kwargs={'seed': 100},  # default: {}\n  ...     pre_filter=lambda row: not(row[1] == 'android' and row[0] != 'pixel'),  # default: None\n  ...     post_filter=lambda row: not(row[1] == 'ios' and row[2] != 'Safari'),  # default: None\n  ... )\n  [\n    ['iphone', 'ios', 'Safari'],\n    ['pixel', 'android', 'Safari']\n  ]\n\n  >>> # dict input and output\n  ... make(\n  ...     {'machine': machine_list, 'os': os_list, 'browser': browser_list},  # dict factors\n  ...     length=2,  # default: 2\n  ...     sorter=sorters.greedy,  # default: sorters.sequential\n  ...     sort_kwargs={'seed': 100},  # default: {}\n  ...     pre_filter=lambda row: not(row['os'] == 'android' and row['machine'] != 'pixel'),  # default: None\n  ...     post_filter=lambda row: not(row['os'] == 'ios' and row['browser'] != 'Safari'),  # default: None\n  ... )\n  [\n    {'os': 'ios', 'browser': 'Safari', 'machine': 'iphone'},\n    {'machine': 'pixel', 'browser': 'Safari', 'os': 'android'}\n  ]\n\nOptions\n---------------\n\n``covertable.make`` function has options as keyword argument.\n\nAll options are omittable.\n\nlength\n~~~~~~~~~~~~~~~~\nIt means length of pair to meet. (default: 2)\n\nThe more it increases, the more number of combinations increases.\n\nsorter\n~~~~~~~~~~~~~~~~\nCombinations depend on the order of spreading all over the rows.\n\nYou can choice a sorter from the following:\n\n:sorters.sequential: It is simplest and fastest sorter. (default)\n:sorters.random: It makes different combinations everytime.\n:sorters.hash: It makes combinations depending on hash of the pair (and seed).\n:sorters.greedy: It attempts to make most efficient combinations, but slowest. \n  (Warning: these combinations are not always shortest compared to the other sorter's one.)\n\n\nsort_kwargs\n~~~~~~~~~~~~~~~~\n`sort_kwargs` will be passed to sorter function mentioned above.\n\n:`seed`: \n\n  It is a seed of hash. `sorters.hash` and `sorters.greedy` use this option.\n\n  When `seed` and factors are not changed, output combinations will not be changed.\n\nNot relevant options will be ignored.\n\n\npre_filter\n~~~~~~~~~~~~~~~~\nThis means a function to filter beforehand.\n\nIt receives an argument `row` as `object` type.\n\nWhen the function returns `false`, the row combination will not registered.\n\n- If factors type is `Array`, you should an index at the subscript like `row => row[1] < 6`.\n- IF factors type is `Object`, you should a key at the subscript like `row => row.month < 6` or `row => row['month'] < 6`\n\npost_filter\n~~~~~~~~~~~~~~~~\n\nThis means a function to filter later.\n\nUsage is the same as `preFilter`, only the difference is the timing that it is called.\nIt will delete rows not matched this function at the last.\n\nDevelopment\n===============\n\n.. code-block:: sh\n\n  # preparation\n  $ python3 -m venv venv\n  $ source venv/bin/activate\n  (venv) $ pip install -r dev_requirements.txt\n\n  # testing\n  (venv) $ tox # -e py37 -e cov -e black\n\n\nPublish\n----------------\n\n.. code-block:: sh\n\n  (venv) $ python setup.py sdist bdist_wheel\n  (venv) $ twine upload --repository pypi dist/*\n\n\n",
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        "keywords": "allpair,all-pair,allpairs,all-pairs,pairwise,N-wise,2-wise,3-wise,two-wise,three-wise,N-term,2-term,3-term,two-term,three-term,pairs,pair,combinatorial,covering-array,covering-arrays,pict",
        "license": "Apache Software License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "covertable",
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        "summary": "It makes combinations covering pairs for pairwise testing.",
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