Metadata-Version: 2.1
Name: pytest-quickcheck
Version: 0.8.6
Summary: pytest plugin to generate random data inspired by QuickCheck
Home-page: https://github.com/t2y/pytest-quickcheck
Author: Tetsuya Morimoto
Author-email: tetsuya.morimoto@gmail.com
License: Apache License 2.0
Keywords: test,pytest,quickcheck
Platform: linux
Platform: osx
Platform: unix
Platform: win32
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Quality Assurance
Description-Content-Type: text/x-rst
Requires-Dist: pytest (<6.0.0,>=4.0)

Requirements
------------

* Python 2.7 or 3.6 and later

Features
--------

* Provide **pytest.mark.randomize** function for generating random test data

Installation
============

::

    $ 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', 'min_length', 'max_length', 'str_attrs']
      list_of, nonempty_list_of, dict_of: ['items', 'min_items', 'max_items']

* 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")

* list_of, nonempty_list_of, dict_of

  | **items**: number of items.
  | **min_items**: lower limit on number of items.
  | **max_items**: upper limit on number of items.

Probably, `tests/test_plugin_basic.py` is useful for
learning how to use these options.

.. _string module: http://docs.python.org/library/string.html

Generating Collections
======================

To generate a variable length list of items::

    from pytest import list_of

    @pytest.mark.randomize(l=list_of(int))
    def test_list_of(l):
        pass

You can control its size with the ``items``, ``min_items`` and
``max_items`` options, or use the ``nonempty_list_of`` shortcut.

::

    @pytest.mark.randomize(l=list_of(int, num_items=10))
    def test_list_of_length(l):
        assert len(l) == 10

    @pytest.mark.randomize(l=list_of(int, min_items=10, max_items=100))
    def test_list_of_minimum_length(l):
        assert len(l) >= 10

    from pytest import nonempty_list_of

    @pytest.mark.randomize(l=nonempty_list_of(int)
    def test_list_of_minimum_length(l):
        assert len(l) >= 1

Options for data types work as usual::

    @pytest.mark.randomize(l=list_of(str, num_items=10), choices=["a", "b", "c"])
    def test_list_of(l):
        assert l[0] in ["a", "b", "c"]

(Note what goes into the ``list_of()`` call and what goes outside.)

You can also generate a dict::

    from pytest import dict_of
    @pytest.mark.randomize(d=dict_of(str, int))
    def test_list_of(l):
        pass


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)

ChangeLog
=========

0.8.6 (2020-11-15)
------------------

* fix ignored ncalls parameter when a function annotation is used
* change to be able to use the same argument in randomize marker and function annotation

0.8.5 (2020-09-19)
------------------

* fix a critical issue pytest cannot detect randomize marker
* drop supporting pytest < 4.0.0
* drop supporting python 3.5

0.8.4 (2020-03-06)
------------------

* fix an issue related to pytest-4.x/5.x
* drop supporting python 3.3 and 3.4

0.8.3 (2017-05-27)
------------------

* fix an issue related to pytest-3.1.0
* drop supporting python 2.6 and 3.2

0.8.2 (2015-03-02)
------------------

* transfer the code repository to pytest-dev

0.8.1 (2014-12-25)
------------------

* support min_length for str data type
* removed distribute dependency
* add pytest-flakes testing

0.8 (2013-12-08)
----------------

* fix use the parameter length for string generator even if the set of
  available characters is less than it (#2)

* support new feature: Generating Collections from sonoflilit

0.7 (2012-10-20)
----------------

* the types in the arguments are specified by the types themselves (#1)

0.6 (2012-03-29)
----------------
* add generating data feature from function annotation

0.5 (2012-03-18)
----------------
* first release


