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Installation and Getting Started
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===================================
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**Pythons** : Python 2.6,2.7,3.3,3.4,3.5, Jython, PyPy-2.3
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**Platforms** : Unix/Posix and Windows
**PyPI package name** : `pytest <http://pypi.python.org/pypi/pytest> `_
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**dependencies** : `py <http://pypi.python.org/pypi/py> `_ ,
`colorama (Windows) <http://pypi.python.org/pypi/colorama> `_ ,
`argparse (py26) <http://pypi.python.org/pypi/argparse> `_ .
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**documentation as PDF** : `download latest <https://media.readthedocs.org/pdf/pytest/latest/pytest.pdf> `_
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.. _`getstarted`:
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.. _installation:
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Installation
----------------------------------------
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Installation::
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pip install -U pytest
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To check your installation has installed the correct version::
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$ pytest --version
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This is pytest version 3.0.7, imported from $PYTHON_PREFIX/lib/python3.5/site-packages/pytest.py
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.. _`simpletest`:
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Our first test run
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----------------------------------------------------------
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Let's create a first test file with a simple test function::
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# content of test_sample.py
def func(x):
return x + 1
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def test_answer():
assert func(3) == 5
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That's it. You can execute the test function now::
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$ pytest
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======= test session starts ========
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platform linux -- Python 3.5.2, pytest-3.0.7, py-1.4.32, pluggy-0.4.0
rootdir: $REGENDOC_TMPDIR, inifile:
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collected 1 items
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test_sample.py F
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======= FAILURES ========
_______ test_answer ________
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def test_answer():
> assert func(3) == 5
E assert 4 == 5
E + where 4 = func(3)
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test_sample.py:5: AssertionError
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======= 1 failed in 0.12 seconds ========
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We got a failure report because our little `` func(3) `` call did not return `` 5 `` .
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.. note ::
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You can simply use the `` assert `` statement for asserting test
expectations. pytest's :ref: `assert introspection` will intelligently
report intermediate values of the assert expression freeing
you from the need to learn the many names of `JUnit legacy methods`_ .
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.. _`JUnit legacy methods`: http://docs.python.org/library/unittest.html#test-cases
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.. _`assert statement`: http://docs.python.org/reference/simple_stmts.html#the-assert-statement
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Running multiple tests
----------------------------------------------------------
`` pytest `` will run all files in the current directory and its subdirectories of the form test_*.py or \* _test.py. More generally, it follows :ref: `standard test discovery rules <test discovery>` .
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Asserting that a certain exception is raised
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--------------------------------------------------------------
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If you want to assert that some code raises an exception you can
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use the `` raises `` helper::
# content of test_sysexit.py
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import pytest
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def f():
raise SystemExit(1)
def test_mytest():
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with pytest.raises(SystemExit):
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f()
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Running it with, this time in "quiet" reporting mode::
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$ pytest -q test_sysexit.py
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.
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1 passed in 0.12 seconds
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Grouping multiple tests in a class
--------------------------------------------------------------
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Once you start to have more than a few tests it often makes sense
to group tests logically, in classes and modules. Let's write a class
containing two tests::
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# content of test_class.py
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class TestClass(object):
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def test_one(self):
x = "this"
assert 'h' in x
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def test_two(self):
x = "hello"
assert hasattr(x, 'check')
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The two tests are found because of the standard :ref: `test discovery` .
There is no need to subclass anything. We can simply
run the module by passing its filename::
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$ pytest -q test_class.py
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.F
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======= FAILURES ========
_______ TestClass.test_two ________
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self = <test_class.TestClass object at 0xdeadbeef>
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def test_two(self):
x = "hello"
> assert hasattr(x, 'check')
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E AssertionError: assert False
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E + where False = hasattr('hello', 'check')
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test_class.py:8: AssertionError
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1 failed, 1 passed in 0.12 seconds
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The first test passed, the second failed. Again we can easily see
the intermediate values used in the assertion, helping us to
understand the reason for the failure.
Going functional: requesting a unique temporary directory
--------------------------------------------------------------
For functional tests one often needs to create some files
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and pass them to application objects. pytest provides
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:ref: `builtinfixtures` which allow to request arbitrary
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resources, for example a unique temporary directory::
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# content of test_tmpdir.py
def test_needsfiles(tmpdir):
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print (tmpdir)
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assert 0
We list the name `` tmpdir `` in the test function signature and
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`` pytest `` will lookup and call a fixture factory to create the resource
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before performing the test function call. Let's just run it::
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$ pytest -q test_tmpdir.py
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F
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======= FAILURES ========
_______ test_needsfiles ________
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tmpdir = local('PYTEST_TMPDIR/test_needsfiles0')
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def test_needsfiles(tmpdir):
print (tmpdir)
> assert 0
E assert 0
test_tmpdir.py:3: AssertionError
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--------------------------- Captured stdout call ---------------------------
PYTEST_TMPDIR/test_needsfiles0
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1 failed in 0.12 seconds
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Before the test runs, a unique-per-test-invocation temporary directory
was created. More info at :ref: `tmpdir handling` .
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You can find out what kind of builtin :ref: `fixtures` exist by typing::
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pytest --fixtures # shows builtin and custom fixtures
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Where to go next
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-------------------------------------
Here are a few suggestions where to go next:
* :ref: `cmdline` for command line invocation examples
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* :ref: `good practices <goodpractices>` for virtualenv, test layout
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* :ref: `fixtures` for providing a functional baseline to your tests
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* :ref: `plugins` managing and writing plugins
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.. include :: links.inc