The writing and reporting of assertions in tests
==================================================

.. _`assert with the assert statement`:

assert with the ``assert`` statement
---------------------------------------------------------

``py.test`` allows you to use the standard python ``assert`` for verifying
expectations and values in Python tests.  For example, you can write the
following::

    # content of test_assert1.py
    def f():
        return 3

    def test_function():
        assert f() == 4

to assert that your object returns a certain value. If this
assertion fails you will see the value of ``x``::

    $ py.test test_assert1.py
    =========================== test session starts ============================
    platform linux2 -- Python 2.6.6 -- pytest-2.0.3
    collecting ... collected 1 items
    
    test_assert1.py F
    
    ================================= FAILURES =================================
    ______________________________ test_function _______________________________
    
        def test_function():
    >       assert f() == 4
    E       assert 3 == 4
    E        +  where 3 = f()
    
    test_assert1.py:5: AssertionError
    ========================= 1 failed in 0.02 seconds =========================

Reporting details about the failing assertion is achieved by re-evaluating
the assert expression and recording the intermediate values.

Note: If evaluating the assert expression has side effects you may get a
warning that the intermediate values could not be determined safely.  A
common example of this issue is an assertion which reads from a file::

        assert f.read() != '...'

If this assertion fails then the re-evaluation will probably succeed!
This is because ``f.read()`` will return an empty string when it is
called the second time during the re-evaluation.  However, it is
easy to rewrite the assertion and avoid any trouble::

        content = f.read()
        assert content != '...'


assertions about expected exceptions
------------------------------------------

In order to write assertions about raised exceptions, you can use
``pytest.raises`` as a context manager like this::

    import pytest
    with pytest.raises(ZeroDivisionError):
        1 / 0

and if you need to have access to the actual exception info you may use::

    with pytest.raises(RuntimeError) as excinfo:
        def f():
            f()
        f()

    # do checks related to excinfo.type, excinfo.value, excinfo.traceback

If you want to write test code that works on Python2.4 as well,
you may also use two other ways to test for an expected exception::

    pytest.raises(ExpectedException, func, *args, **kwargs)
    pytest.raises(ExpectedException, "func(*args, **kwargs)")

both of which execute the specified function with args and kwargs and
asserts that the given ``ExpectedException`` is raised.  The reporter will
provide you with helpful output in case of failures such as *no
exception* or *wrong exception*.

.. _newreport:

Making use of context-sensitive comparisons
-------------------------------------------------

.. versionadded:: 2.0

py.test has rich support for providing context-sensitive information
when it encounters comparisons.  For example::

    # content of test_assert2.py

    def test_set_comparison():
        set1 = set("1308")
        set2 = set("8035")
        assert set1 == set2

if you run this module::

    $ py.test test_assert2.py
    =========================== test session starts ============================
    platform linux2 -- Python 2.6.6 -- pytest-2.0.3
    collecting ... collected 1 items
    
    test_assert2.py F
    
    ================================= FAILURES =================================
    ___________________________ test_set_comparison ____________________________
    
        def test_set_comparison():
            set1 = set("1308")
            set2 = set("8035")
    >       assert set1 == set2
    E       assert set(['0', '1', '3', '8']) == set(['0', '3', '5', '8'])
    E         Extra items in the left set:
    E         '1'
    E         Extra items in the right set:
    E         '5'
    
    test_assert2.py:5: AssertionError
    ========================= 1 failed in 0.03 seconds =========================

Special comparisons are done for a number of cases:

* comparing long strings: a context diff is shown
* comparing long sequences: first failing indices
* comparing dicts: different entries

See the :ref:`reporting demo <tbreportdemo>` for many more examples.

..
    Defining your own comparison
    ----------------------------------------------