{
    "info": {
        "author": "Tetsuya Morimoto",
        "author_email": "tetsuya.morimoto@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Quality Assurance",
            "Topic :: Software Development :: Testing",
            "Topic :: Utilities"
        ],
        "description": "Requirements\n------------\n\n* Python 2.7 or 3.3 and later\n\nFeatures\n--------\n\n* Provide **pytest.mark.randomize** function for generating random test data\n\nInstallation\n============\n\n::\n\n    $ easy_install pytest-quickcheck # or\n    $ pip install pytest-quickcheck\n\nQuick Start\n===========\n\nJust pass the signature of function to *randomize* marker.\nThe signature is represented a tuple consist of argument name and its type.\n\n::\n\n    @pytest.mark.randomize(i1=int, i2=int, ncalls=1)\n    def test_generate_ints(i1, i2):\n        pass\n\nMore complex data structure::\n\n    @pytest.mark.randomize(\n        d1={'x': int, 'y': [str, (int, int)], 'z': {'x': str}}\n    )\n    def test_generate_dict(d1):\n        pass\n\nThe *randomize* marker is able to use with *parametrize* marker.\n\n::\n\n    @pytest.mark.parametrize(\"prime\", [2, 3, 5])\n    @pytest.mark.randomize(i1=int, f1=float, ncalls=1)\n    def test_gen_parametrize_with_randomize_int_float(prime, i1, f1):\n        pass\n\nUsing command line option ``--randomize`` restricts only the *randomize* test.\n\n::\n\n    $ py.test -v --randomize test_option.py \n    ==========================================================================================\n    test session starts\n    ==========================================================================================\n    test_option.py:5: test_normal SKIPPED\n    test_option.py:8: test_generate_ints[74-22] PASSED\n\nUsage\n=====\n\nThere some options for each data type::\n\n    $ py.test --markers\n    @pytest.mark.randomize(argname=type, **options): mark the test function with\n    random data generating any data type.\n      There are options for each data type: (see doc for details)\n      int: ['min_num', 'max_num']\n      float: ['min_num', 'max_num', 'positive']\n      str: ['encoding', 'fixed_length', 'min_length', 'max_length', 'str_attrs']\n      list_of, nonempty_list_of, dict_of: ['items', 'min_items', 'max_items']\n\n* common option\n\n  | **ncalls**: set the number of calls. Defaults to 3. (e.g. ncalls=5)\n  | **choices**: choose from given sequence. (e.g. choices=[3, 5, 7])\n\n* int\n\n  | **min_num**: lower limit for generating integer number. (e.g. min_num=0)\n  | **max_num**: upper limit for generating integer number. (e.g. max_num=10)\n\n* float\n\n  | **min_num**: lower limit for generating real number. (e.g. min_num=0.0)\n  | **max_num**: upper limit for generating real number. (e.g. max_num=1.0)\n  | **positive**: generate only positive real number if set to `True`.\n    Defaults to `False`. (e.g. positive=True)\n\n* str\n\n  | **encoding**: generate unicode string encoded given character code.\n    (e.g. encoding=\"utf-8\")  # for Python 2.x only\n  | **fixed_length**: generate fixed length string. (e.g. fixed_length=8)\n  | **max_length**: generate the string less than or equal to max length\n    (e.g. max_length=32)\n  | **str_attrs**: generate the string in given letters.\n    set a tuple consist of attribute names in the `string module`_.\n    (e.g. str_attrs=(\"digits\", \"punctuation\")\n\n* list_of, nonempty_list_of, dict_of\n\n  | **items**: number of items.\n  | **min_items**: lower limit on number of items.\n  | **max_items**: upper limit on number of items.\n\nProbably, `tests/test_plugin_basic.py` is useful for\nlearning how to use these options.\n\n.. _string module: http://docs.python.org/library/string.html\n\nGenerating Collections\n======================\n\nTo generate a variable length list of items::\n\n    from pytest import list_of\n\n    @pytest.mark.randomize(l=list_of(int))\n    def test_list_of(l):\n        pass\n\nYou can control its size with the ``items``, ``min_items`` and\n``max_items`` options, or use the ``nonempty_list_of`` shortcut.\n\n::\n \n    @pytest.mark.randomize(l=list_of(int, num_items=10))\n    def test_list_of_length(l):\n        assert len(l) == 10\n\n    @pytest.mark.randomize(l=list_of(int, min_items=10, max_items=100))\n    def test_list_of_minimum_length(l):\n        assert len(l) >= 10\n\n    from pytest import nonempty_list_of\n\n    @pytest.mark.randomize(l=nonempty_list_of(int)\n    def test_list_of_minimum_length(l):\n        assert len(l) >= 1\n\nOptions for data types work as usual::\n\n    @pytest.mark.randomize(l=list_of(str, num_items=10), choices=[\"a\", \"b\", \"c\"])\n    def test_list_of(l):\n        assert l[0] in [\"a\", \"b\", \"c\"]\n\n(Note what goes into the ``list_of()`` call and what goes outside.)\n\nYou can also generate a dict::\n\n    from pytest import dict_of\n    @pytest.mark.randomize(d=dict_of(str, int))\n    def test_list_of(l):\n        pass\n\n\nPython 3\n========\n\nFor Python 3, the signature of function is given as function annotation.\n\n::\n\n    @pytest.mark.randomize(min_num=0, max_num=2, ncalls=5)\n    def test_generate_int_anns(i1: int):\n        pass\n\nMixed representation is also OK, but it might not be useful. \n\n::\n\n    @pytest.mark.randomize(i1=int, fixed_length=8)\n    def test_generate_arg_anns_mixed(i1, s1: str):\n        pass\n\nSee also: `PEP 3107 -- Function Annotations`_\n\n.. _PEP 3107 -- Function Annotations: http://www.python.org/dev/peps/pep-3107/\n\nBackward Compatibility\n======================\n\nUnder 0.6 version, types were specified by strings containing the name\nof the type. It's still supported if you like.\n\n::\n\n    @pytest.mark.randomize((\"i1\", \"int\"), (\"i2\", \"int\"), ncalls=1)\n\nChangeLog\n=========\n\n0.8.3 (2017-05-27)\n------------------\n\n* fix an issue related to pytest-3.1.0\n* drop supporting python 2.6 and 3.2\n\n0.8.2 (2015-03-02)\n------------------\n\n* transfer the code repository to pytest-dev\n\n0.8.1 (2014-12-25)\n------------------\n\n* support min_length for str data type\n* removed distribute dependency\n* add pytest-flakes testing\n\n0.8 (2013-12-08)\n----------------\n\n* fix use the parameter length for string generator even if the set of\n  available characters is less than it (#2)\n\n* support new feature: Generating Collections from sonoflilit\n\n0.7 (2012-10-20)\n----------------\n\n* the types in the arguments are specified by the types themselves (#1)\n\n0.6 (2012-03-29)\n----------------\n* add generating data feature from function annotation\n\n0.5 (2012-03-18)\n----------------\n* first release",
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