test — Regression tests package for Python
test package is meant for internal use by Python only. It is
documented for the benefit of the core developers of Python. Any use of
this package outside of Python’s standard library is discouraged as code
mentioned here can change or be removed without notice between releases of
test package contains all regression tests for Python as well as the
test.support is used to enhance your tests while
test.regrtest drives the testing suite.
Each module in the
test package whose name starts with
test_ is a
testing suite for a specific module or feature. All new tests should be written
doctest module. Some older tests are
written using a “traditional” testing style that compares output printed to
sys.stdout; this style of test is considered deprecated.
26.8.1. Writing Unit Tests for the
It is preferred that tests that use the
unittest module follow a few
guidelines. One is to name the test module by starting it with
test_ and end
it with the name of the module being tested. The test methods in the test module
should start with
test_ and end with a description of what the method is
testing. This is needed so that the methods are recognized by the test driver as
test methods. Also, no documentation string for the method should be included. A
comment (such as
# Tests function returns only True or False) should be used
to provide documentation for test methods. This is done because documentation
strings get printed out if they exist and thus what test is being run is not
A basic boilerplate is often used:
import unittest from test import support class MyTestCase1(unittest.TestCase): # Only use setUp() and tearDown() if necessary def setUp(self): ... code to execute in preparation for tests ... def tearDown(self): ... code to execute to clean up after tests ... def test_feature_one(self): # Test feature one. ... testing code ... def test_feature_two(self): # Test feature two. ... testing code ... ... more test methods ... class MyTestCase2(unittest.TestCase): ... same structure as MyTestCase1 ... ... more test classes ... if __name__ == '__main__': unittest.main()
This code pattern allows the testing suite to be run by
on its own as a script that supports the
unittest CLI, or via the
python -m unittest CLI.
The goal for regression testing is to try to break code. This leads to a few guidelines to be followed:
The testing suite should exercise all classes, functions, and constants. This includes not just the external API that is to be presented to the outside world but also “private” code.
Whitebox testing (examining the code being tested when the tests are being written) is preferred. Blackbox testing (testing only the published user interface) is not complete enough to make sure all boundary and edge cases are tested.
Make sure all possible values are tested including invalid ones. This makes sure that not only all valid values are acceptable but also that improper values are handled correctly.
Exhaust as many code paths as possible. Test where branching occurs and thus tailor input to make sure as many different paths through the code are taken.
Add an explicit test for any bugs discovered for the tested code. This will make sure that the error does not crop up again if the code is changed in the future.
Make sure to clean up after your tests (such as close and remove all temporary files).
If a test is dependent on a specific condition of the operating system then verify the condition already exists before attempting the test.
Import as few modules as possible and do it as soon as possible. This minimizes external dependencies of tests and also minimizes possible anomalous behavior from side-effects of importing a module.
Try to maximize code reuse. On occasion, tests will vary by something as small as what type of input is used. Minimize code duplication by subclassing a basic test class with a class that specifies the input:
class TestFuncAcceptsSequencesMixin: func = mySuperWhammyFunction def test_func(self): self.func(self.arg) class AcceptLists(TestFuncAcceptsSequencesMixin, unittest.TestCase): arg = [1, 2, 3] class AcceptStrings(TestFuncAcceptsSequencesMixin, unittest.TestCase): arg = 'abc' class AcceptTuples(TestFuncAcceptsSequencesMixin, unittest.TestCase): arg = (1, 2, 3)
When using this pattern, remember that all classes that inherit from
unittest.TestCaseare run as tests. The
Mixinclass in the example above does not have any data and so can’t be run by itself, thus it does not inherit from
- Test Driven Development
- A book by Kent Beck on writing tests before code.
26.8.2. Running tests using the command-line interface
test package can be run as a script to drive Python’s regression
test suite, thanks to the
-m option: python -m test. Under
the hood, it uses
test.regrtest; the call python -m
test.regrtest used in previous Python versions still works. Running the
script by itself automatically starts running all regression tests in the
test package. It does this by finding all modules in the package whose
name starts with
test_, importing them, and executing the function
test_main() if present or loading the tests via
test_main does not exist. The
names of tests to execute may also be passed to the script. Specifying a single
regression test (python -m test test_spam) will minimize output and
only print whether the test passed or failed.
test directly allows what resources are available for
tests to use to be set. You do this by using the
all as the value for the
-u option enables all
possible resources: python -m test -uall.
If all but one resource is desired (a more common case), a
comma-separated list of resources that are not desired may be listed after
all. The command python -m test -uall,-audio,-largefile
test with all resources except the
largefile resources. For a list of all resources and more command-line
options, run python -m test -h.
Some other ways to execute the regression tests depend on what platform the
tests are being executed on. On Unix, you can run make test at the
top-level directory where Python was built. On Windows,
executing rt.bat from your
PCBuild directory will run all
test.support — Utilities for the Python test suite
test.support module provides support for Python’s regression
test.support is not a public module. It is documented here to help
Python developers write tests. The API of this module is subject to change
without backwards compatibility concerns between releases.
This module defines the following exceptions:
test.support module defines the following constants:
Truewhen verbose output is enabled. Should be checked when more detailed information is desired about a running test. verbose is set by
Trueif the running interpreter is Jython.
Set to a name that is safe to use as the name of a temporary file. Any temporary file that is created should be closed and unlinked (removed).
test.support module defines the following functions:
Remove the module named module_name from
sys.modulesand delete any byte-compiled files of the module.
Trueif resource is enabled and available. The list of available resources is only set when
test.regrtestis executing the tests.
ResourceDeniedif resource is not available. msg is the argument to
ResourceDeniedif it is raised. Always returns
Trueif called by a function whose
'__main__'. Used when tests are executed by
Return the path to the file named filename. If no match is found filename is returned. This does not equal a failure since it could be the path to the file.Setting subdir indicates a relative path to use to find the file rather than looking directly in the path directories.
unittest.TestCasesubclasses passed to the function. The function scans the classes for methods starting with the prefix
test_and executes the tests individually.
It is also legal to pass strings as parameters; these should be keys in
sys.modules. Each associated module will be scanned by
unittest.TestLoader.loadTestsFromModule(). This is usually seen in the following
def test_main(): support.run_unittest(__name__)
This will run all tests defined in the named module.
doctest.testmod()on the given module. Return
A convenience wrapper for
warnings.catch_warnings()that makes it easier to test that a warning was correctly raised. It is approximately equivalent to calling
alwaysand with the option to automatically validate the results that are recorded.
check_warningsaccepts 2-tuples of the form
("message regexp", WarningCategory)as positional arguments. If one or more filters are provided, or if the optional keyword argument quiet is
False, it checks to make sure the warnings are as expected: each specified filter must match at least one of the warnings raised by the enclosed code or the test fails, and if any warnings are raised that do not match any of the specified filters the test fails. To disable the first of these checks, set quiet to
If no arguments are specified, it defaults to:
check_warnings(("", Warning), quiet=True)
In this case all warnings are caught and no errors are raised.
On entry to the context manager, a
WarningRecorderinstance is returned. The underlying warnings list from
catch_warnings()is available via the recorder object’s
warningsattribute. As a convenience, the attributes of the object representing the most recent warning can also be accessed directly through the recorder object (see example below). If no warning has been raised, then any of the attributes that would otherwise be expected on an object representing a warning will return
The recorder object also has a
reset()method, which clears the warnings list.
The context manager is designed to be used like this:
with check_warnings(("assertion is always true", SyntaxWarning), ("", UserWarning)): exec('assert(False, "Hey!")') warnings.warn(UserWarning("Hide me!"))
In this case if either warning was not raised, or some other warning was raised,
check_warnings()would raise an error.
When a test needs to look more deeply into the warnings, rather than just checking whether or not they occurred, code like this can be used:
with check_warnings(quiet=True) as w: warnings.warn("foo") assert str(w.args) == "foo" warnings.warn("bar") assert str(w.args) == "bar" assert str(w.warnings.args) == "foo" assert str(w.warnings.args) == "bar" w.reset() assert len(w.warnings) == 0
Here all warnings will be caught, and the test code tests the captured warnings directly.
Changed in version 3.2: New optional arguments filters and quiet.
A context managers that temporarily replaces the named stream with
Example use with output streams:
with captured_stdout() as stdout, captured_stderr() as stderr: print("hello") print("error", file=sys.stderr) assert stdout.getvalue() == "hello\n" assert stderr.getvalue() == "error\n"
Example use with input stream:
with captured_stdin() as stdin: stdin.write('hello\n') stdin.seek(0) # call test code that consumes from sys.stdin captured = input() self.assertEqual(captured, "hello")
A context manager that creates a temporary directory at path and yields the directory.
If path is None, the temporary directory is created using
tempfile.mkdtemp(). If quiet is
False, the context manager raises an exception on error. Otherwise, if path is specified and cannot be created, only a warning is issued.
A context manager that temporarily changes the current working directory to path and yields the directory.
If quiet is
False, the context manager raises an exception on error. Otherwise, it issues only a warning and keeps the current working directory the same.
A context manager that temporarily creates a new directory and changes the current working directory (CWD).
The context manager creates a temporary directory in the current directory with name name before temporarily changing the current working directory. If name is None, the temporary directory is created using
If quiet is
Falseand it is not possible to create or change the CWD, an error is raised. Otherwise, only a warning is raised and the original CWD is used.
A context manager that temporarily sets the process umask.
Trueif the OS supports symbolic links,
A decorator for running tests that require support for symbolic links.
A decorator to conditionally mark tests with
unittest.expectedFailure(). Any use of this decorator should have an associated comment identifying the relevant tracker issue.
A decorator for running a function in a different locale, correctly resetting it after it has finished. catstr is the locale category as a string (for example
"LC_ALL"). The locales passed will be tried sequentially, and the first valid locale will be used.
Create an invalid file descriptor by opening and closing a temporary file, and returning its descriptor.
This function imports and returns the named module. Unlike a normal import, this function raises
unittest.SkipTestif the module cannot be imported.
Module and package deprecation messages are suppressed during this import if deprecated is
New in version 3.1.
import_fresh_module(name, fresh=(), blocked=(), deprecated=False)
This function imports and returns a fresh copy of the named Python module by removing the named module from
sys.modulesbefore doing the import. Note that unlike
reload(), the original module is not affected by this operation.
fresh is an iterable of additional module names that are also removed from the
sys.modulescache before doing the import.
blocked is an iterable of module names that are replaced with
Nonein the module cache during the import to ensure that attempts to import them raise
The named module and any modules named in the fresh and blocked parameters are saved before starting the import and then reinserted into
sys.moduleswhen the fresh import is complete.
Module and package deprecation messages are suppressed during this import if deprecated is
This function will raise
ImportErrorif the named module cannot be imported.
# Get copies of the warnings module for testing without affecting the # version being used by the rest of the test suite. One copy uses the # C implementation, the other is forced to use the pure Python fallback # implementation py_warnings = import_fresh_module('warnings', blocked=['_warnings']) c_warnings = import_fresh_module('warnings', fresh=['_warnings'])
New in version 3.1.
Bind the socket to a free port and return the port number. Relies on ephemeral ports in order to ensure we are using an unbound port. This is important as many tests may be running simultaneously, especially in a buildbot environment. This method raises an exception if the
SOCK_STREAM, and the socket has
SO_REUSEPORTset on it. Tests should never set these socket options for TCP/IP sockets. The only case for setting these options is testing multicasting via multiple UDP sockets.
Additionally, if the
SO_EXCLUSIVEADDRUSEsocket option is available (i.e. on Windows), it will be set on the socket. This will prevent anyone else from binding to our host/port for the duration of the test.
Returns an unused port that should be suitable for binding. This is achieved by creating a temporary socket with the same family and type as the
sockparameter (default is
SOCK_STREAM), and binding it to the specified host address (defaults to
0.0.0.0) with the port set to 0, eliciting an unused ephemeral port from the OS. The temporary socket is then closed and deleted, and the ephemeral port is returned.
Either this method or
bind_port()should be used for any tests where a server socket needs to be bound to a particular port for the duration of the test. Which one to use depends on whether the calling code is creating a python socket, or if an unused port needs to be provided in a constructor or passed to an external program (i.e. the
-acceptargument to openssl’s s_server mode). Always prefer
find_unused_port()where possible. Using a hard coded port is discouraged since it can makes multiple instances of the test impossible to run simultaneously, which is a problem for buildbots.
load_package_tests(pkg_dir, loader, standard_tests, pattern)
Generic implementation of the
load_testsprotocol for use in test packages. pkg_dir is the root directory of the package; loader, standard_tests, and pattern are the arguments expected by
load_tests. In simple cases, the test package’s
__init__.pycan be the following:
import os from test.support import load_package_tests def load_tests(*args): return load_package_tests(os.path.dirname(__file__), *args)
detect_api_mismatch(ref_api, other_api, *, ignore=()):
Returns the set of attributes, functions or methods of ref_api not found on other_api, except for a defined list of items to be ignored in this check specified in ignore.
By default this skips private attributes beginning with ‘_’ but includes all magic methods, i.e. those starting and ending in ‘__’.
New in version 3.5.
test.support module defines the following classes:
Instances are a context manager that raises
ResourceDeniedif the specified exception type is raised. Any keyword arguments are treated as attribute/value pairs to be compared against any exception raised within the
withstatement. Only if all pairs match properly against attributes on the exception is
Class used to temporarily set or unset environment variables. Instances can be used as a context manager and have a complete dictionary interface for querying/modifying the underlying
os.environ. After exit from the context manager all changes to environment variables done through this instance will be rolled back.
Changed in version 3.1: Added dictionary interface.
Temporarily set the environment variable
envvarto the value of
Temporarily unset the environment variable
A context manager used to try to prevent crash dialog popups on tests that are expected to crash a subprocess.
On Windows, it disables Windows Error Reporting dialogs using SetErrorMode.
On both platforms, the old value is restored by
Class used to record warnings for unit tests. See documentation of
check_warnings()above for more details.