David Röthlisberger aaa7e837cc doctest: Add +NUMBER option to ignore irrelevant floating-point differences
When enabled, floating-point numbers only need to match as far as the
precision you have written in the expected doctest output. This avoids
false positives caused by limited floating-point precision, like this:

    Expected:
        0.233
    Got:
        0.23300000000000001

This is inspired by Sébastien Boisgérault's [numtest] but the
implementation is a bit different:

* This implementation edits the literals that are in the "got"
  string (the actual output from the expression being tested), and then
  proceeds to compare the strings literally. This is similar to pytest's
  existing ALLOW_UNICODE and ALLOW_BYTES implementation.

* This implementation only compares floats against floats, not ints
  against floats. That is, the following doctest will fail with pytest
  whereas it would pass with numtest:

      >>> math.py  # doctest: +NUMBER
      3

  This behaviour should be less surprising (less false negatives) when
  you enable NUMBER globally in pytest.ini.

Advantages of this implementation compared to numtest:

* Doesn't require `import numtest` at the top level of the file.
* Works with pytest (if you try to use pytest & numtest together, pytest
  raises "TypeError: unbound method check_output() must be called with
  NumTestOutputChecker instance as first argument (got
  LiteralsOutputChecker instance instead)").
* Works with Python 3.

[numtest]: https://github.com/boisgera/numtest
2019-07-08 17:07:58 +01:00
2018-07-14 16:35:33 +01:00
2019-01-04 10:37:07 -02:00
2019-06-02 14:39:11 -03:00
2019-06-02 14:39:11 -03:00
2019-06-27 10:46:08 -07:00

.. image:: https://docs.pytest.org/en/latest/_static/pytest1.png
   :target: https://docs.pytest.org/en/latest/
   :align: center
   :alt: pytest


------

.. image:: https://img.shields.io/pypi/v/pytest.svg
    :target: https://pypi.org/project/pytest/

.. image:: https://img.shields.io/conda/vn/conda-forge/pytest.svg
    :target: https://anaconda.org/conda-forge/pytest

.. image:: https://img.shields.io/pypi/pyversions/pytest.svg
    :target: https://pypi.org/project/pytest/

.. image:: https://codecov.io/gh/pytest-dev/pytest/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/pytest-dev/pytest
    :alt: Code coverage Status

.. image:: https://travis-ci.org/pytest-dev/pytest.svg?branch=master
    :target: https://travis-ci.org/pytest-dev/pytest

.. image:: https://dev.azure.com/pytest-dev/pytest/_apis/build/status/pytest-CI?branchName=master
    :target: https://dev.azure.com/pytest-dev/pytest

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/python/black

.. image:: https://www.codetriage.com/pytest-dev/pytest/badges/users.svg
    :target: https://www.codetriage.com/pytest-dev/pytest

The ``pytest`` framework makes it easy to write small tests, yet
scales to support complex functional testing for applications and libraries.

An example of a simple test:

.. code-block:: python

    # content of test_sample.py
    def inc(x):
        return x + 1


    def test_answer():
        assert inc(3) == 5


To execute it::

    $ pytest
    ============================= test session starts =============================
    collected 1 items

    test_sample.py F

    ================================== FAILURES ===================================
    _________________________________ test_answer _________________________________

        def test_answer():
    >       assert inc(3) == 5
    E       assert 4 == 5
    E        +  where 4 = inc(3)

    test_sample.py:5: AssertionError
    ========================== 1 failed in 0.04 seconds ===========================


Due to ``pytest``'s detailed assertion introspection, only plain ``assert`` statements are used. See `getting-started <https://docs.pytest.org/en/latest/getting-started.html#our-first-test-run>`_ for more examples.


Features
--------

- Detailed info on failing `assert statements <https://docs.pytest.org/en/latest/assert.html>`_ (no need to remember ``self.assert*`` names);

- `Auto-discovery
  <https://docs.pytest.org/en/latest/goodpractices.html#python-test-discovery>`_
  of test modules and functions;

- `Modular fixtures <https://docs.pytest.org/en/latest/fixture.html>`_ for
  managing small or parametrized long-lived test resources;

- Can run `unittest <https://docs.pytest.org/en/latest/unittest.html>`_ (or trial),
  `nose <https://docs.pytest.org/en/latest/nose.html>`_ test suites out of the box;

- Python 3.5+ and PyPy3;

- Rich plugin architecture, with over 315+ `external plugins <http://plugincompat.herokuapp.com>`_ and thriving community;


Documentation
-------------

For full documentation, including installation, tutorials and PDF documents, please see https://docs.pytest.org/en/latest/.


Bugs/Requests
-------------

Please use the `GitHub issue tracker <https://github.com/pytest-dev/pytest/issues>`_ to submit bugs or request features.


Changelog
---------

Consult the `Changelog <https://docs.pytest.org/en/latest/changelog.html>`__ page for fixes and enhancements of each version.


Support pytest
--------------

You can support pytest by obtaining a `Tideflift subscription`_.

Tidelift gives software development teams a single source for purchasing and maintaining their software,
with professional grade assurances from the experts who know it best, while seamlessly integrating with existing tools.


.. _`Tideflift subscription`: https://tidelift.com/subscription/pkg/pypi-pytest?utm_source=pypi-pytest&utm_medium=referral&utm_campaign=readme


Security
^^^^^^^^

pytest has never been associated with a security vunerability, but in any case, to report a
security vulnerability please use the `Tidelift security contact <https://tidelift.com/security>`_.
Tidelift will coordinate the fix and disclosure.


License
-------

Copyright Holger Krekel and others, 2004-2019.

Distributed under the terms of the `MIT`_ license, pytest is free and open source software.

.. _`MIT`: https://github.com/pytest-dev/pytest/blob/master/LICENSE
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