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:mod:`unittest` --- Unit testing framework
==========================================
.. module:: unittest
:synopsis: Unit testing framework for Python.
.. moduleauthor:: Steve Purcell <stephen_purcell@yahoo.com>
.. sectionauthor:: Steve Purcell <stephen_purcell@yahoo.com>
.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>
.. sectionauthor:: Raymond Hettinger <python@rcn.com>
.. versionadded:: 2.1
The Python unit testing framework, sometimes referred to as "PyUnit," is a
Python language version of JUnit, by Kent Beck and Erich Gamma. JUnit is, in
turn, a Java version of Kent's Smalltalk testing framework. Each is the de
facto standard unit testing framework for its respective language.
:mod:`unittest` supports test automation, sharing of setup and shutdown code for
tests, aggregation of tests into collections, and independence of the tests from
the reporting framework. The :mod:`unittest` module provides classes that make
it easy to support these qualities for a set of tests.
To achieve this, :mod:`unittest` supports some important concepts:
test fixture
A :dfn:`test fixture` represents the preparation needed to perform one or more
tests, and any associate cleanup actions. This may involve, for example,
creating temporary or proxy databases, directories, or starting a server
process.
test case
A :dfn:`test case` is the smallest unit of testing. It checks for a specific
response to a particular set of inputs. :mod:`unittest` provides a base class,
:class:`TestCase`, which may be used to create new test cases.
test suite
A :dfn:`test suite` is a collection of test cases, test suites, or both. It is
used to aggregate tests that should be executed together.
test runner
A :dfn:`test runner` is a component which orchestrates the execution of tests
and provides the outcome to the user. The runner may use a graphical interface,
a textual interface, or return a special value to indicate the results of
executing the tests.
The test case and test fixture concepts are supported through the
:class:`TestCase` and :class:`FunctionTestCase` classes; the former should be
used when creating new tests, and the latter can be used when integrating
existing test code with a :mod:`unittest`\ -driven framework. When building test
fixtures using :class:`TestCase`, the :meth:`~TestCase.setUp` and
:meth:`~TestCase.tearDown` methods can be overridden to provide initialization
and cleanup for the fixture. With :class:`FunctionTestCase`, existing functions
can be passed to the constructor for these purposes. When the test is run, the
fixture initialization is run first; if it succeeds, the cleanup method is run
after the test has been executed, regardless of the outcome of the test. Each
instance of the :class:`TestCase` will only be used to run a single test method,
so a new fixture is created for each test.
Test suites are implemented by the :class:`TestSuite` class. This class allows
individual tests and test suites to be aggregated; when the suite is executed,
all tests added directly to the suite and in "child" test suites are run.
A test runner is an object that provides a single method,
:meth:`~TestRunner.run`, which accepts a :class:`TestCase` or :class:`TestSuite`
object as a parameter, and returns a result object. The class
:class:`TestResult` is provided for use as the result object. :mod:`unittest`
provides the :class:`TextTestRunner` as an example test runner which reports
test results on the standard error stream by default. Alternate runners can be
implemented for other environments (such as graphical environments) without any
need to derive from a specific class.
.. seealso::
Module :mod:`doctest`
Another test-support module with a very different flavor.
`Simple Smalltalk Testing: With Patterns <http://www.XProgramming.com/testfram.htm>`_
Kent Beck's original paper on testing frameworks using the pattern shared
by :mod:`unittest`.
`Nose <http://code.google.com/p/python-nose/>`_ and `py.test <http://pytest.org>`_
Third-party unittest frameworks with a lighter-weight syntax for writing
tests. For example, ``assert func(10) == 42``.
`python-mock <http://python-mock.sourceforge.net/>`_ and `minimock <http://blog.ianbicking.org/minimock.html>`_
Tools for creating mock test objects (objects simulating external
resources).
.. _unittest-minimal-example:
Basic example
-------------
The :mod:`unittest` module provides a rich set of tools for constructing and
running tests. This section demonstrates that a small subset of the tools
suffice to meet the needs of most users.
Here is a short script to test three functions from the :mod:`random` module::
import random
import unittest
class TestSequenceFunctions(unittest.TestCase):
def setUp(self):
self.seq = range(10)
def test_shuffle(self):
# make sure the shuffled sequence does not lose any elements
random.shuffle(self.seq)
self.seq.sort()
self.assertEqual(self.seq, range(10))
def test_choice(self):
element = random.choice(self.seq)
self.assertIn(element, self.seq)
def test_sample(self):
self.assertRaises(ValueError, random.sample, self.seq, 20)
for element in random.sample(self.seq, 5):
self.assertIn(element, self.seq)
if __name__ == '__main__':
unittest.main()
A testcase is created by subclassing :class:`unittest.TestCase`. The three
individual tests are defined with methods whose names start with the letters
``test``. This naming convention informs the test runner about which methods
represent tests.
The crux of each test is a call to :meth:`~TestCase.assertEqual` to check for an
expected result; :meth:`~TestCase.assert_` to verify a condition; or
:meth:`~TestCase.assertRaises` to verify that an expected exception gets raised.
These methods are used instead of the :keyword:`assert` statement so the test
runner can accumulate all test results and produce a report.
When a :meth:`~TestCase.setUp` method is defined, the test runner will run that
method prior to each test. Likewise, if a :meth:`~TestCase.tearDown` method is
defined, the test runner will invoke that method after each test. In the
example, :meth:`~TestCase.setUp` was used to create a fresh sequence for each
test.
The final block shows a simple way to run the tests. :func:`unittest.main`
provides a command line interface to the test script. When run from the command
line, the above script produces an output that looks like this::
...
----------------------------------------------------------------------
Ran 3 tests in 0.000s
OK
Instead of :func:`unittest.main`, there are other ways to run the tests with a
finer level of control, less terse output, and no requirement to be run from the
command line. For example, the last two lines may be replaced with::
suite = unittest.TestLoader().loadTestsFromTestCase(TestSequenceFunctions)
unittest.TextTestRunner(verbosity=2).run(suite)
Running the revised script from the interpreter or another script produces the
following output::
testchoice (__main__.TestSequenceFunctions) ... ok
testsample (__main__.TestSequenceFunctions) ... ok
testshuffle (__main__.TestSequenceFunctions) ... ok
----------------------------------------------------------------------
Ran 3 tests in 0.110s
OK
The above examples show the most commonly used :mod:`unittest` features which
are sufficient to meet many everyday testing needs. The remainder of the
documentation explores the full feature set from first principles.
.. _unittest-command-line-interface:
Command Line Interface
----------------------
The unittest module can be used from the command line to run tests from
modules, classes or even individual test methods::
python -m unittest test_module1 test_module2
python -m unittest test_module.TestClass
python -m unittest test_module.TestClass.test_method
You can pass in a list with any combination of module names, and fully
qualified class or method names.
You can run tests with more detail (higher verbosity) by passing in the -v flag::
python -m unittest -v test_module
For a list of all the command line options::
python -m unittest -h
.. versionchanged:: 2.7
In earlier versions it was only possible to run individual test methods and
not modules or classes.
The command line can also be used for test discovery, for running all of the
tests in a project or just a subset.
.. _unittest-test-discovery:
Test Discovery
--------------
.. versionadded:: 2.7
Unittest supports simple test discovery. For a project's tests to be
compatible with test discovery they must all be importable from the top level
directory of the project (in other words, they must all be in Python packages).
Test discovery is implemented in :meth:`TestLoader.discover`, but can also be
used from the command line. The basic command line usage is::
cd project_directory
python -m unittest discover
The ``discover`` sub-command has the following options:
-v, --verbose Verbose output
-s directory Directory to start discovery ('.' default)
-p pattern Pattern to match test files ('test*.py' default)
-t directory Top level directory of project (default to
start directory)
The -s, -p, & -t options can be passsed in as positional arguments. The
following two command lines are equivalent::
python -m unittest discover -s project_directory -p '*_test.py'
python -m unittest discover project_directory '*_test.py'
Test modules and packages can customize test loading and discovery by through
the `load_tests protocol`_.
.. _organizing-tests:
Organizing test code
--------------------
The basic building blocks of unit testing are :dfn:`test cases` --- single
scenarios that must be set up and checked for correctness. In :mod:`unittest`,
test cases are represented by instances of :mod:`unittest`'s :class:`TestCase`
class. To make your own test cases you must write subclasses of
:class:`TestCase`, or use :class:`FunctionTestCase`.
An instance of a :class:`TestCase`\ -derived class is an object that can
completely run a single test method, together with optional set-up and tidy-up
code.
The testing code of a :class:`TestCase` instance should be entirely self
contained, such that it can be run either in isolation or in arbitrary
combination with any number of other test cases.
The simplest :class:`TestCase` subclass will simply override the
:meth:`~TestCase.runTest` method in order to perform specific testing code::
import unittest
class DefaultWidgetSizeTestCase(unittest.TestCase):
def runTest(self):
widget = Widget('The widget')
self.assertEqual(widget.size(), (50, 50), 'incorrect default size')
Note that in order to test something, we use the one of the :meth:`assert\*`
methods provided by the :class:`TestCase` base class. If the test fails, an
exception will be raised, and :mod:`unittest` will identify the test case as a
:dfn:`failure`. Any other exceptions will be treated as :dfn:`errors`. This
helps you identify where the problem is: :dfn:`failures` are caused by incorrect
results - a 5 where you expected a 6. :dfn:`Errors` are caused by incorrect
code - e.g., a :exc:`TypeError` caused by an incorrect function call.
The way to run a test case will be described later. For now, note that to
construct an instance of such a test case, we call its constructor without
arguments::
testCase = DefaultWidgetSizeTestCase()
Now, such test cases can be numerous, and their set-up can be repetitive. In
the above case, constructing a :class:`Widget` in each of 100 Widget test case
subclasses would mean unsightly duplication.
Luckily, we can factor out such set-up code by implementing a method called
:meth:`~TestCase.setUp`, which the testing framework will automatically call for
us when we run the test::
import unittest
class SimpleWidgetTestCase(unittest.TestCase):
def setUp(self):
self.widget = Widget('The widget')
class DefaultWidgetSizeTestCase(SimpleWidgetTestCase):
def runTest(self):
self.assertEqual(self.widget.size(), (50,50),
'incorrect default size')
class WidgetResizeTestCase(SimpleWidgetTestCase):
def runTest(self):
self.widget.resize(100,150)
self.assertEqual(self.widget.size(), (100,150),
'wrong size after resize')
If the :meth:`~TestCase.setUp` method raises an exception while the test is
running, the framework will consider the test to have suffered an error, and the
:meth:`~TestCase.runTest` method will not be executed.
Similarly, we can provide a :meth:`~TestCase.tearDown` method that tidies up
after the :meth:`~TestCase.runTest` method has been run::
import unittest
class SimpleWidgetTestCase(unittest.TestCase):
def setUp(self):
self.widget = Widget('The widget')
def tearDown(self):
self.widget.dispose()
self.widget = None
If :meth:`~TestCase.setUp` succeeded, the :meth:`~TestCase.tearDown` method will
be run whether :meth:`~TestCase.runTest` succeeded or not.
Such a working environment for the testing code is called a :dfn:`fixture`.
Often, many small test cases will use the same fixture. In this case, we would
end up subclassing :class:`SimpleWidgetTestCase` into many small one-method
classes such as :class:`DefaultWidgetSizeTestCase`. This is time-consuming and
discouraging, so in the same vein as JUnit, :mod:`unittest` provides a simpler
mechanism::
import unittest
class WidgetTestCase(unittest.TestCase):
def setUp(self):
self.widget = Widget('The widget')
def tearDown(self):
self.widget.dispose()
self.widget = None
def testDefaultSize(self):
self.assertEqual(self.widget.size(), (50,50),
'incorrect default size')
def testResize(self):
self.widget.resize(100,150)
self.assertEqual(self.widget.size(), (100,150),
'wrong size after resize')
Here we have not provided a :meth:`~TestCase.runTest` method, but have instead
provided two different test methods. Class instances will now each run one of
the :meth:`test\*` methods, with ``self.widget`` created and destroyed
separately for each instance. When creating an instance we must specify the
test method it is to run. We do this by passing the method name in the
constructor::
defaultSizeTestCase = WidgetTestCase('testDefaultSize')
resizeTestCase = WidgetTestCase('testResize')
Test case instances are grouped together according to the features they test.
:mod:`unittest` provides a mechanism for this: the :dfn:`test suite`,
represented by :mod:`unittest`'s :class:`TestSuite` class::
widgetTestSuite = unittest.TestSuite()
widgetTestSuite.addTest(WidgetTestCase('testDefaultSize'))
widgetTestSuite.addTest(WidgetTestCase('testResize'))
For the ease of running tests, as we will see later, it is a good idea to
provide in each test module a callable object that returns a pre-built test
suite::
def suite():
suite = unittest.TestSuite()
suite.addTest(WidgetTestCase('testDefaultSize'))
suite.addTest(WidgetTestCase('testResize'))
return suite
or even::
def suite():
tests = ['testDefaultSize', 'testResize']
return unittest.TestSuite(map(WidgetTestCase, tests))
Since it is a common pattern to create a :class:`TestCase` subclass with many
similarly named test functions, :mod:`unittest` provides a :class:`TestLoader`
class that can be used to automate the process of creating a test suite and
populating it with individual tests. For example, ::
suite = unittest.TestLoader().loadTestsFromTestCase(WidgetTestCase)
will create a test suite that will run ``WidgetTestCase.testDefaultSize()`` and
``WidgetTestCase.testResize``. :class:`TestLoader` uses the ``'test'`` method
name prefix to identify test methods automatically.
Note that the order in which the various test cases will be run is determined by
sorting the test function names with the built-in :func:`cmp` function.
Often it is desirable to group suites of test cases together, so as to run tests
for the whole system at once. This is easy, since :class:`TestSuite` instances
can be added to a :class:`TestSuite` just as :class:`TestCase` instances can be
added to a :class:`TestSuite`::
suite1 = module1.TheTestSuite()
suite2 = module2.TheTestSuite()
alltests = unittest.TestSuite([suite1, suite2])
You can place the definitions of test cases and test suites in the same modules
as the code they are to test (such as :file:`widget.py`), but there are several
advantages to placing the test code in a separate module, such as
:file:`test_widget.py`:
* The test module can be run standalone from the command line.
* The test code can more easily be separated from shipped code.
* There is less temptation to change test code to fit the code it tests without
a good reason.
* Test code should be modified much less frequently than the code it tests.
* Tested code can be refactored more easily.
* Tests for modules written in C must be in separate modules anyway, so why not
be consistent?
* If the testing strategy changes, there is no need to change the source code.
.. _legacy-unit-tests:
Re-using old test code
----------------------
Some users will find that they have existing test code that they would like to
run from :mod:`unittest`, without converting every old test function to a
:class:`TestCase` subclass.
For this reason, :mod:`unittest` provides a :class:`FunctionTestCase` class.
This subclass of :class:`TestCase` can be used to wrap an existing test
function. Set-up and tear-down functions can also be provided.
Given the following test function::
def testSomething():
something = makeSomething()
assert something.name is not None
# ...
one can create an equivalent test case instance as follows::
testcase = unittest.FunctionTestCase(testSomething)
If there are additional set-up and tear-down methods that should be called as
part of the test case's operation, they can also be provided like so::
testcase = unittest.FunctionTestCase(testSomething,
setUp=makeSomethingDB,
tearDown=deleteSomethingDB)
To make migrating existing test suites easier, :mod:`unittest` supports tests
raising :exc:`AssertionError` to indicate test failure. However, it is
recommended that you use the explicit :meth:`TestCase.fail\*` and
:meth:`TestCase.assert\*` methods instead, as future versions of :mod:`unittest`
may treat :exc:`AssertionError` differently.
.. note::
Even though :class:`FunctionTestCase` can be used to quickly convert an
existing test base over to a :mod:`unittest`\ -based system, this approach is
not recommended. Taking the time to set up proper :class:`TestCase`
subclasses will make future test refactorings infinitely easier.
In some cases, the existing tests may have been written using the :mod:`doctest`
module. If so, :mod:`doctest` provides a :class:`DocTestSuite` class that can
automatically build :class:`unittest.TestSuite` instances from the existing
:mod:`doctest`\ -based tests.
.. _unittest-skipping:
Skipping tests and expected failures
------------------------------------
.. versionadded:: 2.7
Unittest supports skipping individual test methods and even whole classes of
tests. In addition, it supports marking a test as a "expected failure," a test
that is broken and will fail, but shouldn't be counted as a failure on a
:class:`TestResult`.
Skipping a test is simply a matter of using the :func:`skip` :term:`decorator`
or one of its conditional variants.
Basic skipping looks like this: ::
class MyTestCase(unittest.TestCase):
@unittest.skip("demonstrating skipping")
def test_nothing(self):
self.fail("shouldn't happen")
@unittest.skipIf(mylib.__version__ < (1, 3),
"not supported in this library version")
def test_format(self):
# Tests that work for only a certain version of the library.
pass
@unittest.skipUnless(sys.platform.startswith("win"), "requires Windows")
def test_windows_support(self):
# windows specific testing code
pass
This is the output of running the example above in verbose mode: ::
test_format (__main__.MyTestCase) ... skipped 'not supported in this library version'
test_nothing (__main__.MyTestCase) ... skipped 'demonstrating skipping'
test_windows_support (__main__.MyTestCase) ... skipped 'requires Windows'
----------------------------------------------------------------------
Ran 3 tests in 0.005s
OK (skipped=3)
Classes can be skipped just like methods: ::
@skip("showing class skipping")
class MySkippedTestCase(unittest.TestCase):
def test_not_run(self):
pass
:meth:`TestCase.setUp` can also skip the test. This is useful when a resource
that needs to be set up is not available.
Expected failures use the :func:`expectedFailure` decorator. ::
class ExpectedFailureTestCase(unittest.TestCase):
@unittest.expectedFailure
def test_fail(self):
self.assertEqual(1, 0, "broken")
It's easy to roll your own skipping decorators by making a decorator that calls
:func:`skip` on the test when it wants it to be skipped. This decorator skips
the test unless the passed object has a certain attribute: ::
def skipUnlessHasattr(obj, attr):
if hasattr(obj, attr):
return lambda func: func
return unittest.skip("{0!r} doesn't have {1!r}".format(obj, attr))
The following decorators implement test skipping and expected failures:
.. function:: skip(reason)
Unconditionally skip the decorated test. *reason* should describe why the
test is being skipped.
.. function:: skipIf(condition, reason)
Skip the decorated test if *condition* is true.
.. function:: skipUnless(condition, reason)
Skip the decoratored test unless *condition* is true.
.. function:: expectedFailure
Mark the test as an expected failure. If the test fails when run, the test
is not counted as a failure.
.. _unittest-contents:
Classes and functions
---------------------
This section describes in depth the API of :mod:`unittest`.
.. _testcase-objects:
Test cases
~~~~~~~~~~
.. class:: TestCase([methodName])
Instances of the :class:`TestCase` class represent the smallest testable units
in the :mod:`unittest` universe. This class is intended to be used as a base
class, with specific tests being implemented by concrete subclasses. This class
implements the interface needed by the test runner to allow it to drive the
test, and methods that the test code can use to check for and report various
kinds of failure.
Each instance of :class:`TestCase` will run a single test method: the method
named *methodName*. If you remember, we had an earlier example that went
something like this::
def suite():
suite = unittest.TestSuite()
suite.addTest(WidgetTestCase('testDefaultSize'))
suite.addTest(WidgetTestCase('testResize'))
return suite
Here, we create two instances of :class:`WidgetTestCase`, each of which runs a
single test.
*methodName* defaults to :meth:`runTest`.
:class:`TestCase` instances provide three groups of methods: one group used
to run the test, another used by the test implementation to check conditions
and report failures, and some inquiry methods allowing information about the
test itself to be gathered.
Methods in the first group (running the test) are:
.. method:: setUp()
Method called to prepare the test fixture. This is called immediately
before calling the test method; any exception raised by this method will
be considered an error rather than a test failure. The default
implementation does nothing.
.. method:: tearDown()
Method called immediately after the test method has been called and the
result recorded. This is called even if the test method raised an
exception, so the implementation in subclasses may need to be particularly
careful about checking internal state. Any exception raised by this
method will be considered an error rather than a test failure. This
method will only be called if the :meth:`setUp` succeeds, regardless of
the outcome of the test method. The default implementation does nothing.
.. method:: run([result])
Run the test, collecting the result into the test result object passed as
*result*. If *result* is omitted or :const:`None`, a temporary result
object is created (by calling the :meth:`defaultTestResult` method) and
used. The result object is not returned to :meth:`run`'s caller.
The same effect may be had by simply calling the :class:`TestCase`
instance.
.. method:: skipTest(reason)
Calling this during the a test method or :meth:`setUp` skips the current
test. See :ref:`unittest-skipping` for more information.
.. method:: debug()
Run the test without collecting the result. This allows exceptions raised
by the test to be propagated to the caller, and can be used to support
running tests under a debugger.
The test code can use any of the following methods to check for and report
failures.
.. method:: assertTrue(expr[, msg])
assert_(expr[, msg])
failUnless(expr[, msg])
Signal a test failure if *expr* is false; the explanation for the failure
will be *msg* if given, otherwise it will be :const:`None`.
.. deprecated:: 2.7
:meth:`failUnless`; use one of the ``assert`` variants.
.. method:: assertEqual(first, second[, msg])
failUnlessEqual(first, second[, msg])
Test that *first* and *second* are equal. If the values do not compare
equal, the test will fail with the explanation given by *msg*, or
:const:`None`. Note that using :meth:`assertEqual` improves upon
doing the comparison as the first parameter to :meth:`assertTrue`: the
default value for *msg* include representations of both *first* and
*second*.
In addition, if *first* and *second* are the exact same type and one of
list, tuple, dict, set, or frozenset or any type that a subclass
registers :meth:`addTypeEqualityFunc` the type specific equality function
will be called in order to generate a more useful default error message.
.. versionchanged:: 2.7
Added the automatic calling of type specific equality function.
.. deprecated:: 2.7
:meth:`failUnlessEqual`; use :meth:`assertEqual`.
.. method:: assertNotEqual(first, second[, msg])
failIfEqual(first, second[, msg])
Test that *first* and *second* are not equal. If the values do compare
equal, the test will fail with the explanation given by *msg*, or
:const:`None`. Note that using :meth:`assertNotEqual` improves upon doing
the comparison as the first parameter to :meth:`assertTrue` is that the
default value for *msg* can be computed to include representations of both
*first* and *second*.
.. deprecated:: 2.7
:meth:`failIfEqual`; use :meth:`assertNotEqual`.
.. method:: assertAlmostEqual(first, second[, places[, msg]])
failUnlessAlmostEqual(first, second[, places[, msg]])
Test that *first* and *second* are approximately equal by computing the
difference, rounding to the given number of decimal *places* (default 7),
and comparing to zero.
Note that comparing a given number of decimal places is not the same as
comparing a given number of significant digits. If the values do not
compare equal, the test will fail with the explanation given by *msg*, or
:const:`None`.
.. versionchanged:: 2.7
Objects that compare equal are automatically almost equal.
.. deprecated:: 2.7
:meth:`failUnlessAlmostEqual`; use :meth:`assertAlmostEqual`.
.. method:: assertNotAlmostEqual(first, second[, places[, msg]])
failIfAlmostEqual(first, second[, places[, msg]])
Test that *first* and *second* are not approximately equal by computing
the difference, rounding to the given number of decimal *places* (default
7), and comparing to zero.
Note that comparing a given number of decimal places is not the same as
comparing a given number of significant digits. If the values do not
compare equal, the test will fail with the explanation given by *msg*, or
:const:`None`.
.. versionchanged:: 2.7
Objects that compare equal automatically fail.
.. deprecated:: 2.7
:meth:`failIfAlmostEqual`; use :meth:`assertNotAlmostEqual`.
.. method:: assertGreater(first, second, msg=None)
assertGreaterEqual(first, second, msg=None)
assertLess(first, second, msg=None)
assertLessEqual(first, second, msg=None)
Test that *first* is respectively >, >=, < or <= than *second* depending
on the method name. If not, the test will fail with an explanation
or with the explanation given by *msg*::
>>> self.assertGreaterEqual(3, 4)
AssertionError: "3" unexpectedly not greater than or equal to "4"
.. versionadded:: 2.7
.. method:: assertMultiLineEqual(self, first, second, msg=None)
Test that the multiline string *first* is equal to the string *second*.
When not equal a diff of the two strings highlighting the differences
will be included in the error message.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertRegexpMatches(text, regexp, msg=None)
Verifies that a *regexp* search matches *text*. Fails with an error
message including the pattern and the *text*. *regexp* may be
a regular expression object or a string containing a regular expression
suitable for use by :func:`re.search`.
.. versionadded:: 2.7
.. method:: assertIn(first, second, msg=None)
assertNotIn(first, second, msg=None)
Tests that *first* is or is not in *second* with an explanatory error
message as appropriate.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertSameElements(actual, expected, msg=None)
Test that sequence *expected* contains the same elements as *actual*,
regardless of their order. When they don't, an error message listing
the differences between the sequences will be generated.
Duplicate elements are ignored when comparing *actual* and *expected*.
It is the equivalent of ``assertEqual(set(expected), set(actual))``
but it works with sequences of unhashable objects as well.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertSetEqual(set1, set2, msg=None)
Tests that two sets are equal. If not, an error message is constructed
that lists the differences between the sets.
Fails if either of *set1* or *set2* does not have a :meth:`set.difference`
method.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertDictEqual(expected, actual, msg=None)
Test that two dictionaries are equal. If not, an error message is
constructed that shows the differences in the dictionaries.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertDictContainsSubset(expected, actual, msg=None)
Tests whether the key/value pairs in dictionary *actual* are a
superset of those in *expected*. If not, an error message listing
the missing keys and mismatched values is generated.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertListEqual(list1, list2, msg=None)
assertTupleEqual(tuple1, tuple2, msg=None)
Tests that two lists or tuples are equal. If not an error message is
constructed that shows only the differences between the two. An error
is also raised if either of the parameters are of the wrong type.
If specified *msg* will be used as the error message on failure.
.. versionadded:: 2.7
.. method:: assertSequenceEqual(seq1, seq2, msg=None, seq_type=None)
Tests that two sequences are equal. If a *seq_type* is supplied, both
*seq1* and *seq2* must be instances of *seq_type* or a failure will
be raised. If the sequences are different an error message is
constructed that shows the difference between the two.
If specified *msg* will be used as the error message on failure.
This method is used to implement :meth:`assertListEqual` and
:meth:`assertTupleEqual`.
.. versionadded:: 2.7
.. method:: assertRaises(exception[, callable, ...])
failUnlessRaises(exception[, callable, ...])
Test that an exception is raised when *callable* is called with any
positional or keyword arguments that are also passed to
:meth:`assertRaises`. The test passes if *exception* is raised, is an
error if another exception is raised, or fails if no exception is raised.
To catch any of a group of exceptions, a tuple containing the exception
classes may be passed as *exception*.
If *callable* is omitted or None, returns a context manager so that the
code under test can be written inline rather than as a function::
with self.assertRaises(SomeException):
do_something()
The context manager will store the caught exception object in its
:attr:`exc_value` attribute. This can be useful if the intention
is to perform additional checks on the exception raised::
with self.assertRaises(SomeException) as cm:
do_something()
the_exception = cm.exc_value
self.assertEqual(the_exception.error_code, 3)
.. versionchanged:: 2.7
Added the ability to use :meth:`assertRaises` as a context manager.
.. deprecated:: 2.7
:meth:`failUnlessRaises`; use :meth:`assertRaises`.
.. method:: assertRaisesRegexp(exception, regexp[, callable, ...])
Like :meth:`assertRaises` but also tests that *regexp* matches
on the string representation of the raised exception. *regexp* may be
a regular expression object or a string containing a regular expression
suitable for use by :func:`re.search`. Examples::
self.assertRaisesRegexp(ValueError, 'invalid literal for.*XYZ$',
int, 'XYZ')
or::
with self.assertRaisesRegexp(ValueError, 'literal'):
int('XYZ')
.. versionadded:: 2.7
.. method:: assertIsNone(expr[, msg])
This signals a test failure if *expr* is not None.
.. versionadded:: 2.7
.. method:: assertIsNotNone(expr[, msg])
The inverse of the :meth:`assertIsNone` method.
This signals a test failure if *expr* is None.
.. versionadded:: 2.7
.. method:: assertIs(expr1, expr2[, msg])
This signals a test failure if *expr1* and *expr2* don't evaluate to the same
object.
.. versionadded:: 2.7
.. method:: assertIsNot(expr1, expr2[, msg])
The inverse of the :meth:`assertIs` method.
This signals a test failure if *expr1* and *expr2* evaluate to the same
object.
.. versionadded:: 2.7
.. method:: assertIsInstance(obj, cls[, msg])
This signals a test failure if *obj* is not an instance of *cls* (which
can be a class or a tuple of classes, as supported by :func:`isinstance`).
.. versionadded:: 2.7
.. method:: assertNotIsInstance(obj, cls[, msg])
The inverse of the :meth:`assertIsInstance` method. This signals a test
failure if *obj* is an instance of *cls*.
.. versionadded:: 2.7
.. method:: assertFalse(expr[, msg])
failIf(expr[, msg])
The inverse of the :meth:`assertTrue` method is the :meth:`assertFalse` method.
This signals a test failure if *expr* is true, with *msg* or :const:`None`
for the error message.
.. deprecated:: 2.7
:meth:`failIf`; use :meth:`assertFalse`.
.. method:: fail([msg])
Signals a test failure unconditionally, with *msg* or :const:`None` for
the error message.
.. attribute:: failureException
This class attribute gives the exception raised by the test method. If a
test framework needs to use a specialized exception, possibly to carry
additional information, it must subclass this exception in order to "play
fair" with the framework. The initial value of this attribute is
:exc:`AssertionError`.
.. attribute:: longMessage
If set to True then any explicit failure message you pass in to the
assert methods will be appended to the end of the normal failure message.
The normal messages contain useful information about the objects involved,
for example the message from assertEqual shows you the repr of the two
unequal objects. Setting this attribute to True allows you to have a
custom error message in addition to the normal one.
This attribute defaults to False, meaning that a custom message passed
to an assert method will silence the normal message.
The class setting can be overridden in individual tests by assigning an
instance attribute to True or False before calling the assert methods.
.. versionadded:: 2.7
Testing frameworks can use the following methods to collect information on
the test:
.. method:: countTestCases()
Return the number of tests represented by this test object. For
:class:`TestCase` instances, this will always be ``1``.
.. method:: defaultTestResult()
Return an instance of the test result class that should be used for this
test case class (if no other result instance is provided to the
:meth:`run` method).
For :class:`TestCase` instances, this will always be an instance of
:class:`TestResult`; subclasses of :class:`TestCase` should override this
as necessary.
.. method:: id()
Return a string identifying the specific test case. This is usually the
full name of the test method, including the module and class name.
.. method:: shortDescription()
Returns a description of the test, or :const:`None` if no description
has been provided. The default implementation of this method
returns the first line of the test method's docstring, if available,
along with the method name.
.. versionchanged:: 2.7
In earlier versions this only returned the first line of the test
method's docstring, if available or the :const:`None`. That led to
undesirable behavior of not printing the test name when someone was
thoughtful enough to write a docstring.
.. method:: addTypeEqualityFunc(typeobj, function)
Registers a type specific :meth:`assertEqual` equality checking
function to be called by :meth:`assertEqual` when both objects it has
been asked to compare are exactly *typeobj* (not subclasses).
*function* must take two positional arguments and a third msg=None
keyword argument just as :meth:`assertEqual` does. It must raise
``self.failureException`` when inequality between the first two
parameters is detected.
One good use of custom equality checking functions for a type
is to raise ``self.failureException`` with an error message useful
for debugging the problem by explaining the inequalities in detail.
.. versionadded:: 2.7
.. method:: addCleanup(function[, *args[, **kwargs]])
Add a function to be called after :meth:`tearDown` to cleanup resources
used during the test. Functions will be called in reverse order to the
order they are added (LIFO). They are called with any arguments and
keyword arguments passed into :meth:`addCleanup` when they are
added.
If :meth:`setUp` fails, meaning that :meth:`tearDown` is not called,
then any cleanup functions added will still be called.
.. versionadded:: 2.7
.. method:: doCleanups()
This method is called uncoditionally after :meth:`tearDown`, or
after :meth:`setUp` if :meth:`setUp` raises an exception.
It is responsible for calling all the cleanup functions added by
:meth:`addCleanup`. If you need cleanup functions to be called
*prior* to :meth:`tearDown` then you can call :meth:`doCleanups`
yourself.
:meth:`doCleanups` pops methods off the stack of cleanup
functions one at a time, so it can be called at any time.
.. versionadded:: 2.7
.. class:: FunctionTestCase(testFunc[, setUp[, tearDown[, description]]])
This class implements the portion of the :class:`TestCase` interface which
allows the test runner to drive the test, but does not provide the methods
which test code can use to check and report errors. This is used to create
test cases using legacy test code, allowing it to be integrated into a
:mod:`unittest`-based test framework.
.. _testsuite-objects:
Grouping tests
~~~~~~~~~~~~~~
.. class:: TestSuite([tests])
This class represents an aggregation of individual tests cases and test suites.
The class presents the interface needed by the test runner to allow it to be run
as any other test case. Running a :class:`TestSuite` instance is the same as
iterating over the suite, running each test individually.
If *tests* is given, it must be an iterable of individual test cases or other
test suites that will be used to build the suite initially. Additional methods
are provided to add test cases and suites to the collection later on.
:class:`TestSuite` objects behave much like :class:`TestCase` objects, except
they do not actually implement a test. Instead, they are used to aggregate
tests into groups of tests that should be run together. Some additional
methods are available to add tests to :class:`TestSuite` instances:
.. method:: TestSuite.addTest(test)
Add a :class:`TestCase` or :class:`TestSuite` to the suite.
.. method:: TestSuite.addTests(tests)
Add all the tests from an iterable of :class:`TestCase` and :class:`TestSuite`
instances to this test suite.
This is equivalent to iterating over *tests*, calling :meth:`addTest` for
each element.
:class:`TestSuite` shares the following methods with :class:`TestCase`:
.. method:: run(result)
Run the tests associated with this suite, collecting the result into the
test result object passed as *result*. Note that unlike
:meth:`TestCase.run`, :meth:`TestSuite.run` requires the result object to
be passed in.
.. method:: debug()
Run the tests associated with this suite without collecting the
result. This allows exceptions raised by the test to be propagated to the
caller and can be used to support running tests under a debugger.
.. method:: countTestCases()
Return the number of tests represented by this test object, including all
individual tests and sub-suites.
.. method:: __iter__()
Tests grouped by a :class:`TestSuite` are always accessed by iteration.
Subclasses can lazily provide tests by overriding :meth:`__iter__`. Note
that this method maybe called several times on a single suite
(for example when counting tests or comparing for equality)
so the tests returned must be the same for repeated iterations.
.. versionchanged:: 2.7
In earlier versions the :class:`TestSuite` accessed tests directly rather
than through iteration, so overriding :meth:`__iter__` wasn't sufficient
for providing tests.
In the typical usage of a :class:`TestSuite` object, the :meth:`run` method
is invoked by a :class:`TestRunner` rather than by the end-user test harness.
Loading and running tests
~~~~~~~~~~~~~~~~~~~~~~~~~
.. class:: TestLoader()
The :class:`TestLoader` class is used to create test suites from classes and
modules. Normally, there is no need to create an instance of this class; the
:mod:`unittest` module provides an instance that can be shared as
``unittest.defaultTestLoader``. Using a subclass or instance, however, allows
customization of some configurable properties.
:class:`TestLoader` objects have the following methods:
.. method:: loadTestsFromTestCase(testCaseClass)
Return a suite of all tests cases contained in the :class:`TestCase`\ -derived
:class:`testCaseClass`.
.. method:: loadTestsFromModule(module)
Return a suite of all tests cases contained in the given module. This
method searches *module* for classes derived from :class:`TestCase` and
creates an instance of the class for each test method defined for the
class.
.. note::
While using a hierarchy of :class:`TestCase`\ -derived classes can be
convenient in sharing fixtures and helper functions, defining test
methods on base classes that are not intended to be instantiated
directly does not play well with this method. Doing so, however, can
be useful when the fixtures are different and defined in subclasses.
If a module provides a ``load_tests`` function it will be called to
load the tests. This allows modules to customize test loading.
This is the `load_tests protocol`_.
.. versionchanged:: 2.7
Support for ``load_tests`` added.
.. method:: loadTestsFromName(name[, module])
Return a suite of all tests cases given a string specifier.
The specifier *name* is a "dotted name" that may resolve either to a
module, a test case class, a test method within a test case class, a
:class:`TestSuite` instance, or a callable object which returns a
:class:`TestCase` or :class:`TestSuite` instance. These checks are
applied in the order listed here; that is, a method on a possible test
case class will be picked up as "a test method within a test case class",
rather than "a callable object".
For example, if you have a module :mod:`SampleTests` containing a
:class:`TestCase`\ -derived class :class:`SampleTestCase` with three test
methods (:meth:`test_one`, :meth:`test_two`, and :meth:`test_three`), the
specifier ``'SampleTests.SampleTestCase'`` would cause this method to
return a suite which will run all three test methods. Using the specifier
``'SampleTests.SampleTestCase.test_two'`` would cause it to return a test
suite which will run only the :meth:`test_two` test method. The specifier
can refer to modules and packages which have not been imported; they will
be imported as a side-effect.
The method optionally resolves *name* relative to the given *module*.
.. method:: loadTestsFromNames(names[, module])
Similar to :meth:`loadTestsFromName`, but takes a sequence of names rather
than a single name. The return value is a test suite which supports all
the tests defined for each name.
.. method:: getTestCaseNames(testCaseClass)
Return a sorted sequence of method names found within *testCaseClass*;
this should be a subclass of :class:`TestCase`.
.. method:: discover(start_dir, pattern='test*.py', top_level_dir=None)
Find and return all test modules from the specified start directory,
recursing into subdirectories to find them. Only test files that match
*pattern* will be loaded. (Using shell style pattern matching.) Only
module names that are importable (i.e. are valid Python identifiers) will
be loaded.
All test modules must be importable from the top level of the project. If
the start directory is not the top level directory then the top level
directory must be specified separately.
If importing a module fails, for example due to a syntax error, then this
will be recorded as a single error and discovery will continue.
If a test package name (directory with :file:`__init__.py`) matches the
pattern then the package will be checked for a ``load_tests``
function. If this exists then it will be called with *loader*, *tests*,
*pattern*.
If load_tests exists then discovery does *not* recurse into the package,
``load_tests`` is responsible for loading all tests in the package.
The pattern is deliberately not stored as a loader attribute so that
packages can continue discovery themselves. *top_level_dir* is stored so
``load_tests`` does not need to pass this argument in to
``loader.discover()``.
.. versionadded:: 2.7
The following attributes of a :class:`TestLoader` can be configured either by
subclassing or assignment on an instance:
.. attribute:: testMethodPrefix
String giving the prefix of method names which will be interpreted as test
methods. The default value is ``'test'``.
This affects :meth:`getTestCaseNames` and all the :meth:`loadTestsFrom\*`
methods.
.. attribute:: sortTestMethodsUsing
Function to be used to compare method names when sorting them in
:meth:`getTestCaseNames` and all the :meth:`loadTestsFrom\*` methods. The
default value is the built-in :func:`cmp` function; the attribute can also
be set to :const:`None` to disable the sort.
.. attribute:: suiteClass
Callable object that constructs a test suite from a list of tests. No
methods on the resulting object are needed. The default value is the
:class:`TestSuite` class.
This affects all the :meth:`loadTestsFrom\*` methods.
.. class:: TestResult
This class is used to compile information about which tests have succeeded
and which have failed.
A :class:`TestResult` object stores the results of a set of tests. The
:class:`TestCase` and :class:`TestSuite` classes ensure that results are
properly recorded; test authors do not need to worry about recording the
outcome of tests.
Testing frameworks built on top of :mod:`unittest` may want access to the
:class:`TestResult` object generated by running a set of tests for reporting
purposes; a :class:`TestResult` instance is returned by the
:meth:`TestRunner.run` method for this purpose.
:class:`TestResult` instances have the following attributes that will be of
interest when inspecting the results of running a set of tests:
.. attribute:: errors
A list containing 2-tuples of :class:`TestCase` instances and strings
holding formatted tracebacks. Each tuple represents a test which raised an
unexpected exception.
.. versionchanged:: 2.2
Contains formatted tracebacks instead of :func:`sys.exc_info` results.
.. attribute:: failures
A list containing 2-tuples of :class:`TestCase` instances and strings
holding formatted tracebacks. Each tuple represents a test where a failure
was explicitly signalled using the :meth:`TestCase.fail\*` or
:meth:`TestCase.assert\*` methods.
.. versionchanged:: 2.2
Contains formatted tracebacks instead of :func:`sys.exc_info` results.
.. attribute:: skipped
A list containing 2-tuples of :class:`TestCase` instances and strings
holding the reason for skipping the test.
.. versionadded:: 2.7
.. attribute:: expectedFailures
A list contaning 2-tuples of :class:`TestCase` instances and strings
holding formatted tracebacks. Each tuple represents a expected failures
of the test case.
.. attribute:: unexpectedSuccesses
A list containing :class:`TestCase` instances that were marked as expected
failures, but succeeded.
.. attribute:: shouldStop
Set to ``True`` when the execution of tests should stop by :meth:`stop`.
.. attribute:: testsRun
The total number of tests run so far.
.. method:: wasSuccessful()
Return :const:`True` if all tests run so far have passed, otherwise returns
:const:`False`.
.. method:: stop()
This method can be called to signal that the set of tests being run should
be aborted by setting the :attr:`shouldStop` attribute to :const:`True`.
:class:`TestRunner` objects should respect this flag and return without
running any additional tests.
For example, this feature is used by the :class:`TextTestRunner` class to
stop the test framework when the user signals an interrupt from the
keyboard. Interactive tools which provide :class:`TestRunner`
implementations can use this in a similar manner.
The following methods of the :class:`TestResult` class are used to maintain
the internal data structures, and may be extended in subclasses to support
additional reporting requirements. This is particularly useful in building
tools which support interactive reporting while tests are being run.
.. method:: startTest(test)
Called when the test case *test* is about to be run.
The default implementation simply increments the instance's :attr:`testsRun`
counter.
.. method:: stopTest(test)
Called after the test case *test* has been executed, regardless of the
outcome.
The default implementation does nothing.
.. method:: startTestRun(test)
Called once before any tests are executed.
.. versionadded:: 2.7
.. method:: stopTestRun(test)
Called once after all tests are executed.
.. versionadded:: 2.7
.. method:: addError(test, err)
Called when the test case *test* raises an unexpected exception *err* is a
tuple of the form returned by :func:`sys.exc_info`: ``(type, value,
traceback)``.
The default implementation appends a tuple ``(test, formatted_err)`` to
the instance's :attr:`errors` attribute, where *formatted_err* is a
formatted traceback derived from *err*.
.. method:: addFailure(test, err)
Called when the test case *test* signals a failure. *err* is a tuple of
the form returned by :func:`sys.exc_info`: ``(type, value, traceback)``.
The default implementation appends a tuple ``(test, formatted_err)`` to
the instance's :attr:`failures` attribute, where *formatted_err* is a
formatted traceback derived from *err*.
.. method:: addSuccess(test)
Called when the test case *test* succeeds.
The default implementation does nothing.
.. method:: addSkip(test, reason)
Called when the test case *test* is skipped. *reason* is the reason the
test gave for skipping.
The default implementation appends a tuple ``(test, reason)`` to the
instance's :attr:`skipped` attribute.
.. method:: addExpectedFailure(test, err)
Called when the test case *test* fails, but was marked with the
:func:`expectedFailure` decorator.
The default implementation appends a tuple ``(test, formatted_err)`` to
the instance's :attr:`expectedFailures` attribute, where *formatted_err*
is a formatted traceback derived from *err*.
.. method:: addUnexpectedSuccess(test)
Called when the test case *test* was marked with the
:func:`expectedFailure` decorator, but succeeded.
The default implementation appends the test to the instance's
:attr:`unexpectedSuccesses` attribute.
.. data:: defaultTestLoader
Instance of the :class:`TestLoader` class intended to be shared. If no
customization of the :class:`TestLoader` is needed, this instance can be used
instead of repeatedly creating new instances.
.. class:: TextTestRunner([stream[, descriptions[, verbosity]]])
A basic test runner implementation which prints results on standard error. It
has a few configurable parameters, but is essentially very simple. Graphical
applications which run test suites should provide alternate implementations.
.. method:: _makeResult()
This method returns the instance of ``TestResult`` used by :meth:`run`.
It is not intended to be called directly, but can be overridden in
subclasses to provide a custom ``TestResult``.
.. function:: main([module[, defaultTest[, argv[, testRunner[, testLoader[, exit, [verbosity]]]]]]])
A command-line program that runs a set of tests; this is primarily for making
test modules conveniently executable. The simplest use for this function is to
include the following line at the end of a test script::
if __name__ == '__main__':
unittest.main()
You can run tests with more detailed information by passing in the verbosity
argument::
if __name__ == '__main__':
unittest.main(verbosity=2)
The *testRunner* argument can either be a test runner class or an already
created instance of it. By default ``main`` calls :func:`sys.exit` with
an exit code indicating success or failure of the tests run.
``main`` supports being used from the interactive interpreter by passing in the
argument ``exit=False``. This displays the result on standard output without
calling :func:`sys.exit`::
>>> from unittest import main
>>> main(module='test_module', exit=False)
Calling ``main`` actually returns an instance of the ``TestProgram`` class.
This stores the result of the tests run as the ``result`` attribute.
.. versionchanged:: 2.7
The ``exit`` and ``verbosity`` parameters were added.
load_tests Protocol
###################
.. versionadded:: 2.7
Modules or packages can customize how tests are loaded from them during normal
test runs or test discovery by implementing a function called ``load_tests``.
If a test module defines ``load_tests`` it will be called by
:meth:`TestLoader.loadTestsFromModule` with the following arguments::
load_tests(loader, standard_tests, None)
It should return a :class:`TestSuite`.
*loader* is the instance of :class:`TestLoader` doing the loading.
*standard_tests* are the tests that would be loaded by default from the
module. It is common for test modules to only want to add or remove tests
from the standard set of tests.
The third argument is used when loading packages as part of test discovery.
A typical ``load_tests`` function that loads tests from a specific set of
:class:`TestCase` classes may look like::
test_cases = (TestCase1, TestCase2, TestCase3)
def load_tests(loader, tests, pattern):
suite = TestSuite()
for test_class in test_cases:
tests = loader.loadTestsFromTestCase(test_class)
suite.addTests(tests)
return suite
If discovery is started, either from the command line or by calling
:meth:`TestLoader.discover`, with a pattern that matches a package
name then the package :file:`__init__.py` will be checked for ``load_tests``.
.. note::
The default pattern is 'test*.py'. This matches all Python files
that start with 'test' but *won't* match any test directories.
A pattern like 'test*' will match test packages as well as
modules.
If the package :file:`__init__.py` defines ``load_tests`` then it will be
called and discovery not continued into the package. ``load_tests``
is called with the following arguments::
load_tests(loader, standard_tests, pattern)
This should return a :class:`TestSuite` representing all the tests
from the package. (``standard_tests`` will only contain tests
collected from :file:`__init__.py`.)
Because the pattern is passed into ``load_tests`` the package is free to
continue (and potentially modify) test discovery. A 'do nothing'
``load_tests`` function for a test package would look like::
def load_tests(loader, standard_tests, pattern):
# top level directory cached on loader instance
this_dir = os.path.dirname(__file__)
package_tests = loader.discover(start_dir=this_dir, pattern=pattern)
standard_tests.addTests(package_tests)
return standard_tests
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