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Requirements ------------ * Python 2.6 or 3.x and later Features -------- * Provide **pytest.mark.randomize** function for generating random test data Installation ============ :: $ easy_install pytest-quickcheck # or $ pip install pytest-quickcheck Quick Start =========== Just pass the signature of function to *randomize* marker. The signature is represented a tuple consist of argument name and its type. :: @pytest.mark.randomize(i1=int, i2=int, ncalls=1) def test_generate_ints(i1, i2): pass More complex data structure:: @pytest.mark.randomize( d1={'x': int, 'y': [str, (int, int)], 'z': {'x': str}} ) def test_generate_dict(d1): pass The *randomize* marker is able to use with *parametrize* marker. :: @pytest.mark.parametrize("prime", [2, 3, 5]) @pytest.mark.randomize(i1=int, f1=float, ncalls=1) def test_gen_parametrize_with_randomize_int_float(prime, i1, f1): pass Using command line option ``--randomize`` restricts only the *randomize* test. :: $ py.test -v --randomize test_option.py ========================================================================================== test session starts ========================================================================================== test_option.py:5: test_normal SKIPPED test_option.py:8: test_generate_ints[74-22] PASSED Usage ===== There some options for each data type:: $ py.test --markers @pytest.mark.randomize((argname, type), **options): mark the test function with random data generating any data type. There are options for each data type: (see doc for details) int: ['min_num', 'max_num'] float: ['min_num', 'max_num', 'positive'] str: ['encoding', 'fixed_length', 'max_length', 'str_attrs'] * common option | **ncalls**: set the number of calls. Defaults to 3. (e.g. ncalls=5) | **choices**: choose from given sequence. (e.g. choices=[3, 5, 7]) * int | **min_num**: lower limit for generating integer number. (e.g. min_num=0) | **max_num**: upper limit for generating integer number. (e.g. max_num=10) * float | **min_num**: lower limit for generating real number. (e.g. min_num=0.0) | **max_num**: upper limit for generating real number. (e.g. max_num=1.0) | **positive**: generate only positive real number if set to `True`. Defaults to `False`. (e.g. positive=True) * str | **encoding**: generate unicode string encoded given character code. (e.g. encoding="utf-8") # for Python 2.x only | **fixed_length**: generate fixed length string. (e.g. fixed_length=8) | **max_length**: generate the string less than or equal to max length (e.g. max_length=32) | **str_attrs**: generate the string in given letters. set a tuple consist of attribute names in the `string module`_. (e.g. str_attrs=("digits", "punctuation") Probably, `tests/test_plugin_basic.py` is useful for learning how to use these options. .. _string module: http://docs.python.org/library/string.html Python 3 ======== For Python 3, the signature of function is given as function annotation. :: @pytest.mark.randomize(min_num=0, max_num=2, ncalls=5) def test_generate_int_anns(i1: int): pass Mixed representation is also OK, but it might not be useful. :: @pytest.mark.randomize(i1=int, fixed_length=8) def test_generate_arg_anns_mixed(i1, s1: str): pass See also: `PEP 3107 -- Function Annotations`_ .. _PEP 3107 -- Function Annotations: http://www.python.org/dev/peps/pep-3107/ Backward Compatibility ====================== Under 0.6 version, types were specified by strings containing the name of the type. It's still supported if you like. :: @pytest.mark.randomize(("i1", "int"), ("i2", "int"), ncalls=1)