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			7.5 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
	
			
		
		
	
	
			191 lines
		
	
	
		
			7.5 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
	
| 
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| .. _`unittest.TestCase`:
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| 
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| Support for unittest.TestCase / Integration of fixtures
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| =====================================================================
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| 
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| .. _`unittest.py style`: http://docs.python.org/library/unittest.html
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| 
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| ``pytest`` has support for running Python `unittest.py style`_ tests.
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| It's meant for leveraging existing unittest-style projects
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| to use pytest features.  Concretely, pytest will automatically 
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| collect ``unittest.TestCase`` subclasses and their ``test`` methods in
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| test files.  It will invoke typical setup/teardown methods and 
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| generally try to make test suites written to run on unittest, to also 
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| run using ``pytest``.  We assume here that you are familiar with writing
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| ``unittest.TestCase`` style tests and rather focus on 
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| integration aspects.
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| 
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| Usage
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| -------------------------------------------------------------------
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| 
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| After :ref:`installation` type::
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| 
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|     pytest
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| 
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| and you should be able to run your unittest-style tests if they
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| are contained in ``test_*`` modules.  If that works for you then
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| you can make use of most :ref:`pytest features <features>`, for example
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| ``--pdb`` debugging in failures, using :ref:`plain assert-statements <assert>`,
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| :ref:`more informative tracebacks <tbreportdemo>`, stdout-capturing or 
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| distributing tests to multiple CPUs via the ``-nNUM`` option if you 
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| installed the ``pytest-xdist`` plugin.  Please refer to
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| the general ``pytest`` documentation for many more examples.
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| 
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| Mixing pytest fixtures into unittest.TestCase style tests
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| -----------------------------------------------------------
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| 
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| Running your unittest with ``pytest`` allows you to use its
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| :ref:`fixture mechanism <fixture>` with ``unittest.TestCase`` style
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| tests.  Assuming you have at least skimmed the pytest fixture features,
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| let's jump-start into an example that integrates a pytest ``db_class``
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| fixture, setting up a class-cached database object, and then reference
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| it from a unittest-style test::
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| 
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|     # content of conftest.py
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| 
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|     # we define a fixture function below and it will be "used" by
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|     # referencing its name from tests
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| 
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|     import pytest
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| 
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|     @pytest.fixture(scope="class")
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|     def db_class(request):
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|         class DummyDB:
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|             pass
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|         # set a class attribute on the invoking test context 
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|         request.cls.db = DummyDB()
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| 
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| This defines a fixture function ``db_class`` which - if used - is 
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| called once for each test class and which sets the class-level 
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| ``db`` attribute to a ``DummyDB`` instance.  The fixture function
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| achieves this by receiving a special ``request`` object which gives
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| access to :ref:`the requesting test context <request-context>` such
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| as the ``cls`` attribute, denoting the class from which the fixture 
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| is used.  This architecture de-couples fixture writing from actual test
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| code and allows re-use of the fixture by a minimal reference, the fixture
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| name.  So let's write an actual ``unittest.TestCase`` class using our 
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| fixture definition::
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| 
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|     # content of test_unittest_db.py
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| 
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|     import unittest
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|     import pytest
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| 
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|     @pytest.mark.usefixtures("db_class")
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|     class MyTest(unittest.TestCase):
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|         def test_method1(self):
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|             assert hasattr(self, "db")
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|             assert 0, self.db   # fail for demo purposes
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| 
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|         def test_method2(self):
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|             assert 0, self.db   # fail for demo purposes
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| 
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| The ``@pytest.mark.usefixtures("db_class")`` class-decorator makes sure that 
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| the pytest fixture function ``db_class`` is called once per class.
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| Due to the deliberately failing assert statements, we can take a look at
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| the ``self.db`` values in the traceback::
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| 
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|     $ pytest test_unittest_db.py
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|     ======= test session starts ========
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|     platform linux -- Python 3.5.2, pytest-3.0.0, py-1.4.31, pluggy-0.3.1
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|     rootdir: $REGENDOC_TMPDIR, inifile: 
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|     collected 2 items
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|     
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|     test_unittest_db.py FF
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|     
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|     ======= FAILURES ========
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|     _______ MyTest.test_method1 ________
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|     
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|     self = <test_unittest_db.MyTest testMethod=test_method1>
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|     
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|         def test_method1(self):
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|             assert hasattr(self, "db")
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|     >       assert 0, self.db   # fail for demo purposes
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|     E       AssertionError: <conftest.db_class.<locals>.DummyDB object at 0xdeadbeef>
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|     E       assert 0
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|     
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|     test_unittest_db.py:9: AssertionError
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|     _______ MyTest.test_method2 ________
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|     
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|     self = <test_unittest_db.MyTest testMethod=test_method2>
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|     
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|         def test_method2(self):
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|     >       assert 0, self.db   # fail for demo purposes
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|     E       AssertionError: <conftest.db_class.<locals>.DummyDB object at 0xdeadbeef>
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|     E       assert 0
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|     
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|     test_unittest_db.py:12: AssertionError
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|     ======= 2 failed in 0.12 seconds ========
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| 
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| This default pytest traceback shows that the two test methods
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| share the same ``self.db`` instance which was our intention
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| when writing the class-scoped fixture function above.
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| 
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| 
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| autouse fixtures and accessing other fixtures
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| -------------------------------------------------------------------
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| 
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| Although it's usually better to explicitly declare use of fixtures you need
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| for a given test, you may sometimes want to have fixtures that are 
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| automatically used in a given context.  After all, the traditional 
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| style of unittest-setup mandates the use of this implicit fixture writing
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| and chances are, you are used to it or like it.  
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| 
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| You can flag fixture functions with ``@pytest.fixture(autouse=True)``
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| and define the fixture function in the context where you want it used.
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| Let's look at an ``initdir`` fixture which makes all test methods of a
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| ``TestCase`` class execute in a temporary directory with a
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| pre-initialized ``samplefile.ini``.  Our ``initdir`` fixture itself uses
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| the pytest builtin :ref:`tmpdir <tmpdir>` fixture to delegate the
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| creation of a per-test temporary directory::
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| 
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|     # content of test_unittest_cleandir.py
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|     import pytest
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|     import unittest
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| 
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|     class MyTest(unittest.TestCase):
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|         @pytest.fixture(autouse=True)
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|         def initdir(self, tmpdir):
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|             tmpdir.chdir() # change to pytest-provided temporary directory
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|             tmpdir.join("samplefile.ini").write("# testdata")
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| 
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|         def test_method(self):
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|             s = open("samplefile.ini").read() 
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|             assert "testdata" in s
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| 
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| Due to the ``autouse`` flag the ``initdir`` fixture function will be
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| used for all methods of the class where it is defined.  This is a
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| shortcut for using a ``@pytest.mark.usefixtures("initdir")`` marker
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| on the class like in the previous example.
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| 
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| Running this test module ...::
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| 
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|     $ pytest -q test_unittest_cleandir.py
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|     .
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|     1 passed in 0.12 seconds
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| 
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| ... gives us one passed test because the ``initdir`` fixture function
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| was executed ahead of the ``test_method``.
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| 
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| .. note::
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| 
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|    While pytest supports receiving fixtures via :ref:`test function arguments <funcargs>` for non-unittest test methods, ``unittest.TestCase`` methods cannot directly receive fixture 
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|    function arguments as implementing that is likely to inflict
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|    on the ability to run general unittest.TestCase test suites.
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|    Maybe optional support would be possible, though.  If unittest finally 
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|    grows a plugin system that should help as well.  In the meanwhile, the 
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|    above ``usefixtures`` and ``autouse`` examples should help to mix in 
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|    pytest fixtures into unittest suites.  And of course you can also start
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|    to selectively leave away the ``unittest.TestCase`` subclassing, use
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|    plain asserts and get the unlimited pytest feature set.
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| 
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| 
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| Converting from unittest to pytest
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| ---------------------------------------
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| 
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| If you want to convert your unittest testcases to pytest, there are
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| some helpers like `unittest2pytest
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| <https://pypi.python.org/pypi/unittest2pytest/>`__, which uses lib2to3
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| and introspection for the transformation.
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