test
— 用于 Python 的回归测试包
¶
注意
The
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 Python.
The
test
package contains all regression tests for Python as well as the modules
test.support
and
test.regrtest
.
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 using the
unittest
or
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.
另请参阅
test
包
¶
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 stated.
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 ... def test_main(): support.run_unittest(MyTestCase1, MyTestCase2, ... list other tests ... ) if __name__ == '__main__': test_main()
This boilerplate code allows the testing suite to be run by
test.regrtest
as well as on its own as a script.
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 TestFuncAcceptsSequences(unittest.TestCase): func = mySuperWhammyFunction def test_func(self): self.func(self.arg) class AcceptLists(TestFuncAcceptsSequences): arg = [1, 2, 3] class AcceptStrings(TestFuncAcceptsSequences): arg = 'abc' class AcceptTuples(TestFuncAcceptsSequences): arg = (1, 2, 3)
另请参阅
A book by Kent Beck on writing tests before code.
The
test.regrtest
module can be run as a script to drive Python’s regression test suite, thanks to the
-m
选项:
python -m test.regrtest
. 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. The names of tests to execute may also be passed to the script. Specifying a single regression test (
python -m test.regrtest test_spam
) will minimize output and only print whether the test passed or failed and thus minimize output.
运行
test.regrtest
directly allows what resources are available for tests to use to be set. You do this by using the
-u
command-line option. Specifying
all
as the value for the
-u
option enables all possible resources:
python -m test.regrtest -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.regrtest -uall,-audio,-largefile
will run
test.regrtest
with all resources except the
audio
and
largefile
resources. For a list of all resources and more command-line options, run
python -m test.regrtest -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 regression tests.
Changed in version 2.7.14:
The
test
package can be run as a script:
python -m test
. This works the same as running the
test.regrtest
模块。
test.support
— 用于测试的实用程序函数
¶
注意
The
test.test_support
module has been renamed to
test.support
in Python 3.x and 2.7.14. The name
test.test_support
has been retained as an alias in 2.7.
The
test.support
module provides support for Python’s regression tests.
This module defines the following exceptions:
test.support.
TestFailed
¶
Exception to be raised when a test fails. This is deprecated in favor of
unittest
-based tests and
unittest.TestCase
’s assertion methods.
test.support.
ResourceDenied
¶
子类化的
unittest.SkipTest
. Raised when a resource (such as a network connection) is not available. Raised by the
requires()
函数。
The
test.support
module defines the following constants:
test.support.
verbose
¶
True
when verbose output is enabled. Should be checked when more detailed information is desired about a running test.
verbose
is set by
test.regrtest
.
test.support.
TESTFN
¶
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.
TEST_HTTP_URL
¶
Define the URL of a dedicated HTTP server for the network tests.
The
test.support
模块定义了下列函数:
test.support.
forget
(
module_name
)
¶
Remove the module named
module_name
from
sys.modules
and delete any byte-compiled files of the module.
test.support.
is_resource_enabled
(
resource
)
¶
返回
True
if
resource
is enabled and available. The list of available resources is only set when
test.regrtest
is executing the tests.
test.support.
requires
(
resource
[
,
msg
]
)
¶
引发
ResourceDenied
if
resource
is not available.
msg
is the argument to
ResourceDenied
if it is raised. Always returns
True
if called by a function whose
__name__
is
'__main__'
. Used when tests are executed by
test.regrtest
.
test.support.
findfile
(
filename
)
¶
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.
test.support.
run_unittest
(
*classes
)
¶
执行
unittest.TestCase
subclasses 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
test_main()
函数:
def test_main(): support.run_unittest(__name__)
This will run all tests defined in the named module.
test.support.
check_warnings
(
*filters
,
quiet=True
)
¶
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
warnings.catch_warnings(record=True)
with
warnings.simplefilter()
设为
always
and with the option to automatically validate the results that are recorded.
check_warnings
accepts 2-tuples of the form
("message regexp",
WarningCategory)
as positional arguments. If one or more
过滤
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
True
.
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
WarningRecorder
instance is returned. The underlying warnings list from
catch_warnings()
is available via the recorder object’s
warnings
attribute. 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
None
.
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[0]) == "foo" warnings.warn("bar") assert str(w.args[0]) == "bar" assert str(w.warnings[0].args[0]) == "foo" assert str(w.warnings[1].args[0]) == "bar" w.reset() assert len(w.warnings) == 0
Here all warnings will be caught, and the test code tests the captured warnings directly.
2.6 版新增。
2.7 版改变: New optional arguments 过滤 and quiet .
test.support.
check_py3k_warnings
(
*filters
,
quiet=False
)
¶
类似于
check_warnings()
, but for Python 3 compatibility warnings. If
sys.py3kwarning == 1
, it checks if the warning is effectively raised. If
sys.py3kwarning == 0
, it checks that no warning is raised. It accepts 2-tuples of the form
("message regexp", WarningCategory)
as positional arguments. When the optional keyword argument
quiet
is
True
, it does not fail if a filter catches nothing. Without arguments, it defaults to:
check_py3k_warnings(("", DeprecationWarning), quiet=False)
2.7 版新增。
test.support.
captured_stdout
(
)
¶
This is a context manager that runs the
with
statement body using a
StringIO.StringIO
object as sys.stdout. That object can be retrieved using the
as
clause of the
with
语句。
Example use:
with captured_stdout() as s: print "hello" assert s.getvalue() == "hello\n"
2.6 版新增。
test.support.
import_module
(
名称
,
deprecated=False
)
¶
This function imports and returns the named module. Unlike a normal import, this function raises
unittest.SkipTest
if the module cannot be imported.
Module and package deprecation messages are suppressed during this import if
弃用
is
True
.
2.7 版新增。
test.support.
import_fresh_module
(
名称
,
fresh=()
,
blocked=()
,
deprecated=False
)
¶
This function imports and returns a fresh copy of the named Python module by removing the named module from
sys.modules
before 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.modules
cache before doing the import.
blocked
is an iterable of module names that are replaced with
0
in the module cache during the import to ensure that attempts to import them raise
ImportError
.
The named module and any modules named in the
fresh
and
blocked
parameters are saved before starting the import and then reinserted into
sys.modules
when the fresh import is complete.
Module and package deprecation messages are suppressed during this import if
弃用
is
True
.
This function will raise
unittest.SkipTest
if the named module cannot be imported.
Example use:
# 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'])
2.7 版新增。
The
test.support
module defines the following classes:
test.support.
TransientResource
(
exc
[
,
**kwargs
]
)
¶
Instances are a context manager that raises
ResourceDenied
if the specified exception type is raised. Any keyword arguments are treated as attribute/value pairs to be compared against any exception raised within the
with
statement. Only if all pairs match properly against attributes on the exception is
ResourceDenied
raised.
2.6 版新增。
test.support.
EnvironmentVarGuard
¶
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.
2.6 版新增。
2.7 版改变: Added dictionary interface.
EnvironmentVarGuard.
set
(
envvar
,
值
)
¶
Temporarily set the environment variable
envvar
to the value of
value
.
EnvironmentVarGuard.
unset
(
envvar
)
¶
Temporarily unset the environment variable
envvar
.
test.support.
WarningsRecorder
¶
Class used to record warnings for unit tests. See documentation of
check_warnings()
above for more details.
2.6 版新增。