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inc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the module INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingCONFIGURATION
Initialization: determining rootdir and configfile¶. pytest determines a rootdir for each test run which depends on the command line arguments (specified test files, paths) and on the existence of configuration files. The determined rootdir and configfile are printed as part of the pytest header during startup.. Here’s a summary what pytest uses rootdir for:FIXTURES REFERENCE
conftest.py: sharing fixtures across multiple files¶. The conftest.py file serves as a means of providing fixtures for an entire directory. Fixtures defined in a conftest.py can be used by any test in that package without needing to import them (pytest will automatically discover them).. You can have multiple nested directories/packages containing your tests, and each directory can have itsPLUGIN LIST
tblineinfo is a py.test plugin that insert the node id in the final py.test report when –tb=line option is used. Dec 01, 2015. 3 - Alpha. pytest (>=2.0) pytest-teamcity-logblock. py.test plugin to introduce block structure in teamcity build log, if output is not captured. May 15, 2018. TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
HOW TO USE TEMPORARY DIRECTORIES AND FILES IN TESTS You can use the tmp_path fixture which will provide a temporary directory unique to the test invocation, created in the base temporary directory. tmp_path is a pathlib.Path object. Here is an example test usage: Running this would result in a passed test except for the last assert 0 line which we use to look at values: MONKEYPATCHING/MOCKING MODULES AND ENVIRONMENTS The monkeypatch fixture helps you to safely set/delete an attribute, dictionary item or environment variable, or to modify sys.path for importing. The monkeypatch fixture provides these helper methods for safely patching and mocking functionality in tests: All modifications will be undone after the requesting test function or fixture hasfinished.
PYTEST: HELPS YOU WRITE BETTER PROGRAMS pytest: helps you write better programs ¶. pytest: helps you write better programs. ¶. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.py def inc(x): return x + 1 def test_answer(): assertinc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the module INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingCONFIGURATION
Initialization: determining rootdir and configfile¶. pytest determines a rootdir for each test run which depends on the command line arguments (specified test files, paths) and on the existence of configuration files. The determined rootdir and configfile are printed as part of the pytest header during startup.. Here’s a summary what pytest uses rootdir for:FIXTURES REFERENCE
conftest.py: sharing fixtures across multiple files¶. The conftest.py file serves as a means of providing fixtures for an entire directory. Fixtures defined in a conftest.py can be used by any test in that package without needing to import them (pytest will automatically discover them).. You can have multiple nested directories/packages containing your tests, and each directory can have itsPLUGIN LIST
tblineinfo is a py.test plugin that insert the node id in the final py.test report when –tb=line option is used. Dec 01, 2015. 3 - Alpha. pytest (>=2.0) pytest-teamcity-logblock. py.test plugin to introduce block structure in teamcity build log, if output is not captured. May 15, 2018. TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
HOW TO USE TEMPORARY DIRECTORIES AND FILES IN TESTS You can use the tmp_path fixture which will provide a temporary directory unique to the test invocation, created in the base temporary directory. tmp_path is a pathlib.Path object. Here is an example test usage: Running this would result in a passed test except for the last assert 0 line which we use to look at values: MONKEYPATCHING/MOCKING MODULES AND ENVIRONMENTS The monkeypatch fixture helps you to safely set/delete an attribute, dictionary item or environment variable, or to modify sys.path for importing. The monkeypatch fixture provides these helper methods for safely patching and mocking functionality in tests: All modifications will be undone after the requesting test function or fixture hasfinished.
INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism USAGE AND INVOCATIONS Warning. record_xml_attribute is an experimental feature, and its interface might be replaced by something more powerful and general in future versions. The functionality per-se will be kept, however. Using this over record_xml_property can help when using ci tools to parse the xml report. However, some parsers are quite strict about the elements and attributes that are allowed. THE WRITING AND REPORTING OF ASSERTIONS IN TESTS pytest allows you to use the standard python assert for verifying expectations and values in Python tests. For example, you can write the following: # content of test_assert1.py def f(): return 3 def test_function(): assert f() == 4. to assert that your function returns a certain value. If this assertion fails you will see the return valueof
PLUGIN LIST
tblineinfo is a py.test plugin that insert the node id in the final py.test report when –tb=line option is used. Dec 01, 2015. 3 - Alpha. pytest (>=2.0) pytest-teamcity-logblock. py.test plugin to introduce block structure in teamcity build log, if output is not captured. May 15, 2018. HOW TO INSTALL AND USE PLUGINS This means that any subsequent try to activate/load the named plugin will not work. If you want to unconditionally disable a plugin for a project, you can add this option to your pytest.ini file:PARAMETRIZING TESTS
Different options for test IDs¶. pytest will build a string that is the test ID for each set of values in a parametrized test. These IDs can be used with -k to select specific cases to run, and they will also identify the specific case when one is failing. Running pytest with --collect-only will show the generated IDs.. Numbers, strings, booleans and None will have their usual string HOW TO PARAMETRIZE FIXTURES AND TEST FUNCTIONS As designed in this example, only one pair of input/output values fails the simple test function. And as usual with test function arguments, you can see the input and output values in the traceback.. Note that you could also use the parametrize marker on a class or a module (see How to mark test functions with attributes) which would invoke several functions with the argument sets. TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
TEMPORARY DIRECTORIES AND FILES Temporary directories are by default created as sub-directories of the system temporary directory. The base name will be pytest-NUM where NUM will be incremented with each test run. Moreover, entries older than 3 temporary directories will be removed. You can override theWARNINGS CAPTURE
Warnings Capture. ¶. Starting from version 3.1, pytest now automatically catches warnings during test execution and displays them at the end of the session: # content of test_show_warnings.py import warnings def api_v1(): warnings.warn(UserWarning("api v1, should use functions from v2")) return 1 def test_one(): assert api_v1() == 1. PYTEST: HELPS YOU WRITE BETTER PROGRAMS pytest: helps you write better programs ¶. pytest: helps you write better programs. ¶. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.py def inc(x): return x + 1 def test_answer(): assertinc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the moduleHOW TO USE FIXTURES
“Requesting” fixtures¶. At a basic level, test functions request fixtures they require by declaring them as arguments. When pytest goes to run a test, it looks at the parameters in that test function’s signature, and then searches for fixtures that have the same names asthose parameters.
INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingFIXTURES REFERENCE
conftest.py: sharing fixtures across multiple files¶. The conftest.py file serves as a means of providing fixtures for an entire directory. Fixtures defined in a conftest.py can be used by any test in that package without needing to import them (pytest will automatically discover them).. You can have multiple nested directories/packages containing your tests, and each directory can have its WRITING HOOK FUNCTIONS firstresult: stop at first non-None result¶. Most calls to pytest hooks result in a list of results which contains all non-None results of the called hook functions.. Some hook specifications use the firstresult=True option so that the hook call only executes until the first of N registered functions returns a non-None result which is then taken as result of the overall hook call. THE WRITING AND REPORTING OF ASSERTIONS IN TESTS pytest allows you to use the standard python assert for verifying expectations and values in Python tests. For example, you can write the following: # content of test_assert1.py def f(): return 3 def test_function(): assert f() == 4. to assert that your function returns a certain value. If this assertion fails you will see the return valueof
TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
MONKEYPATCHING/MOCKING MODULES AND ENVIRONMENTS The monkeypatch fixture helps you to safely set/delete an attribute, dictionary item or environment variable, or to modify sys.path for importing. The monkeypatch fixture provides these helper methods for safely patching and mocking functionality in tests: All modifications will be undone after the requesting test function or fixture hasfinished.
PYTEST: HELPS YOU WRITE BETTER PROGRAMS pytest: helps you write better programs ¶. pytest: helps you write better programs. ¶. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.py def inc(x): return x + 1 def test_answer(): assertinc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the moduleHOW TO USE FIXTURES
“Requesting” fixtures¶. At a basic level, test functions request fixtures they require by declaring them as arguments. When pytest goes to run a test, it looks at the parameters in that test function’s signature, and then searches for fixtures that have the same names asthose parameters.
INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingFIXTURES REFERENCE
conftest.py: sharing fixtures across multiple files¶. The conftest.py file serves as a means of providing fixtures for an entire directory. Fixtures defined in a conftest.py can be used by any test in that package without needing to import them (pytest will automatically discover them).. You can have multiple nested directories/packages containing your tests, and each directory can have its WRITING HOOK FUNCTIONS firstresult: stop at first non-None result¶. Most calls to pytest hooks result in a list of results which contains all non-None results of the called hook functions.. Some hook specifications use the firstresult=True option so that the hook call only executes until the first of N registered functions returns a non-None result which is then taken as result of the overall hook call. THE WRITING AND REPORTING OF ASSERTIONS IN TESTS pytest allows you to use the standard python assert for verifying expectations and values in Python tests. For example, you can write the following: # content of test_assert1.py def f(): return 3 def test_function(): assert f() == 4. to assert that your function returns a certain value. If this assertion fails you will see the return valueof
TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
MONKEYPATCHING/MOCKING MODULES AND ENVIRONMENTS The monkeypatch fixture helps you to safely set/delete an attribute, dictionary item or environment variable, or to modify sys.path for importing. The monkeypatch fixture provides these helper methods for safely patching and mocking functionality in tests: All modifications will be undone after the requesting test function or fixture hasfinished.
INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism THE WRITING AND REPORTING OF ASSERTIONS IN TESTS pytest allows you to use the standard python assert for verifying expectations and values in Python tests. For example, you can write the following: # content of test_assert1.py def f(): return 3 def test_function(): assert f() == 4. to assert that your function returns a certain value. If this assertion fails you will see the return valueof
TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
PLUGIN LIST
tblineinfo is a py.test plugin that insert the node id in the final py.test report when –tb=line option is used. Dec 01, 2015. 3 - Alpha. pytest (>=2.0) pytest-teamcity-logblock. py.test plugin to introduce block structure in teamcity build log, if output is not captured. May 15, 2018.CONFIGURATION
Finding the rootdir ¶. Here is the algorithm which finds the rootdir from args:. If -c is passed in the command-line, use that as configuration file, and its directory as rootdir.. Determine the common ancestor directory for the specified args that are recognised as paths that exist in the file system. If no such paths are found, the common ancestor directory is set to the current working PARAMETRIZING FIXTURES AND TEST FUNCTIONS Parametrizing fixtures and test functions¶. pytest enables test parametrization at several levels: pytest.fixture() allows one to parametrize fixture functions. @pytest.mark.parametrize allows one to define multiple sets of arguments and fixtures at the test function or class.. pytest_generate_tests allows one to define custom parametrization schemes or extensions. CAPTURING OF THE STDOUT/STDERR OUTPUT Setting capturing methods or disabling capturing¶. There are three ways in which pytest can perform capturing:. fd (file descriptor) level capturing (default): All writes going to the operating system file descriptors 1 and 2 will be captured.. sys level capturing: Only writes to Python files sys.stdout and sys.stderr will be captured. No capturing of writes to filedescriptors is performed. WORKING WITH CUSTOM MARKERS Note. Node IDs are of the form module.py::class::method or module.py::function.Node IDs control which tests are collected, so module.py::class will select all test methods on the class. Nodes are also created for each parameter of a parametrized fixture or test, so selecting a parametrized test must include the parameter value, e.g. module.py::function. TEMPORARY DIRECTORIES AND FILES Temporary directories are by default created as sub-directories of the system temporary directory. The base name will be pytest-NUM where NUM will be incremented with each test run. Moreover, entries older than 3 temporary directories will be removed. You can override the HOW TO USE TEMPORARY DIRECTORIES AND FILES IN TESTS You can use the tmp_path fixture which will provide a temporary directory unique to the test invocation, created in the base temporary directory. tmp_path is a pathlib.Path object. Here is an example test usage: Running this would result in a passed test except for the last assert 0 line which we use to look at values: PYTEST: HELPS YOU WRITE BETTER PROGRAMS pytest: helps you write better programs ¶. pytest: helps you write better programs. ¶. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.py def inc(x): return x + 1 def test_answer(): assertinc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the module INSTALLATION AND GETTING STARTED Installation and Getting Started¶. Pythons: Python 3.6, 3.7, 3.8, 3.9, PyPy3. Platforms: Linux and Windows. PyPI package name: pytest. Documentation as PDF: download LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingCONFIGURATION
Initialization: determining rootdir and configfile¶. pytest determines a rootdir for each test run which depends on the command line arguments (specified test files, paths) and on the existence of configuration files. The determined rootdir and configfile are printed as part of the pytest header during startup.. Here’s a summary what pytest uses rootdir for:PROJECT EXAMPLES
Project examples ¶. Project examples. ¶. Here are some examples of projects using pytest (please send notes via Contact channels ): PyPy, Python with a JIT compiler, running over 21000 tests. the MoinMoin Wiki Engine. sentry, realtime app-maintenance and exception tracking. Astropy and affiliated packages. tox, virtualenv/Hudson integrationtool.
HOW TO USE FIXTURES
“Requesting” fixtures¶. At a basic level, test functions request fixtures they require by declaring them as arguments. When pytest goes to run a test, it looks at the parameters in that test function’s signature, and then searches for fixtures that have the same names asthose parameters.
BASIC TEST CONFIGURATION For example, if you always want to see detailed info on skipped and xfailed tests, as well as have terser “dot” progress output, you can write it into a configuration file: # content of pytest.ini # (or tox.ini or setup.cfg) addopts = -rsxX -q. From now on, running py.test will add the specified options. TEMPORARY DIRECTORIES AND FILES Temporary directories are by default created as sub-directories of the system temporary directory. The base name will be pytest-NUM where NUM will be incremented with each test run. Moreover, entries older than 3 temporary directories will be removed. You can override theWARNINGS CAPTURE
Warnings Capture. ¶. Starting from version 3.1, pytest now automatically catches warnings during test execution and displays them at the end of the session: # content of test_show_warnings.py import warnings def api_v1(): warnings.warn(UserWarning("api v1, should use functions from v2")) return 1 def test_one(): assert api_v1() == 1. PYTEST: HELPS YOU WRITE BETTER PROGRAMS pytest: helps you write better programs ¶. pytest: helps you write better programs. ¶. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.py def inc(x): return x + 1 def test_answer(): assertinc(3) == 5.
HOW TO INVOKE PYTEST This will run tests which contain names that match the given string expression (case-insensitive), which can include Python operators that use filenames, class names and function names as variables. The example above will run TestMyClass.test_something but not TestMyClass.test_method_simple.. Run tests by node ids. Each collected test is assigned a unique nodeid which consist of the module INSTALLATION AND GETTING STARTED Installation and Getting Started¶. Pythons: Python 3.6, 3.7, 3.8, 3.9, PyPy3. Platforms: Linux and Windows. PyPI package name: pytest. Documentation as PDF: download LOGGING — PYTEST DOCUMENTATION Live Logs¶. By setting the log_cli configuration option to true, pytest will output logging records as they are emitted directly into the console.. You can specify the logging level for which log records with equal or higher level are printed to the console by passing --log-cli-level.This setting accepts the logging level names as seen in python’s documentation or an integer as the loggingCONFIGURATION
Initialization: determining rootdir and configfile¶. pytest determines a rootdir for each test run which depends on the command line arguments (specified test files, paths) and on the existence of configuration files. The determined rootdir and configfile are printed as part of the pytest header during startup.. Here’s a summary what pytest uses rootdir for:PROJECT EXAMPLES
Project examples ¶. Project examples. ¶. Here are some examples of projects using pytest (please send notes via Contact channels ): PyPy, Python with a JIT compiler, running over 21000 tests. the MoinMoin Wiki Engine. sentry, realtime app-maintenance and exception tracking. Astropy and affiliated packages. tox, virtualenv/Hudson integrationtool.
HOW TO USE FIXTURES
“Requesting” fixtures¶. At a basic level, test functions request fixtures they require by declaring them as arguments. When pytest goes to run a test, it looks at the parameters in that test function’s signature, and then searches for fixtures that have the same names asthose parameters.
BASIC TEST CONFIGURATION For example, if you always want to see detailed info on skipped and xfailed tests, as well as have terser “dot” progress output, you can write it into a configuration file: # content of pytest.ini # (or tox.ini or setup.cfg) addopts = -rsxX -q. From now on, running py.test will add the specified options. TEMPORARY DIRECTORIES AND FILES Temporary directories are by default created as sub-directories of the system temporary directory. The base name will be pytest-NUM where NUM will be incremented with each test run. Moreover, entries older than 3 temporary directories will be removed. You can override theWARNINGS CAPTURE
Warnings Capture. ¶. Starting from version 3.1, pytest now automatically catches warnings during test execution and displays them at the end of the session: # content of test_show_warnings.py import warnings def api_v1(): warnings.warn(UserWarning("api v1, should use functions from v2")) return 1 def test_one(): assert api_v1() == 1. INSTALLATION AND GETTING STARTED Continue reading¶. Check out additional pytest resources to help you customize tests for your unique workflow: “ Calling pytest through python -m pytest ” for command line invocation examples “ Using pytest with an existing test suite ” for working with pre-existing tests “ Marking test functions with attributes ” for information on the pytest.mark mechanism FULL PYTEST DOCUMENTATION Full pytest documentation. ¶. Download latest version as PDF. Installation and Getting Started. Install pytest. Create your first test. Run multiple tests. Assert that USAGE AND INVOCATIONS Warning. record_xml_attribute is an experimental feature, and its interface might be replaced by something more powerful and general in future versions. The functionality per-se will be kept, however. Using this over record_xml_property can help when using ci tools to parse the xml report. However, some parsers are quite strict about the elements and attributes that are allowed.HOW TO USE FIXTURES
“Requesting” fixtures¶. At a basic level, test functions request fixtures they require by declaring them as arguments. When pytest goes to run a test, it looks at the parameters in that test function’s signature, and then searches for fixtures that have the same names asthose parameters.
BASIC TEST CONFIGURATION For example, if you always want to see detailed info on skipped and xfailed tests, as well as have terser “dot” progress output, you can write it into a configuration file: # content of pytest.ini # (or tox.ini or setup.cfg) addopts = -rsxX -q. From now on, running py.test will add the specified options. CAPTURING OF THE STDOUT/STDERR OUTPUT Setting capturing methods or disabling capturing¶. There are three ways in which pytest can perform capturing:. fd (file descriptor) level capturing (default): All writes going to the operating system file descriptors 1 and 2 will be captured.. sys level capturing: Only writes to Python files sys.stdout and sys.stderr will be captured. No capturing of writes to filedescriptors is performed. THE WRITING AND REPORTING OF ASSERTIONS IN TESTS pytest allows you to use the standard python assert for verifying expectations and values in Python tests. For example, you can write the following: # content of test_assert1.py def f(): return 3 def test_function(): assert f() == 4. to assert that your function returns a certain value. If this assertion fails you will see the return valueof
PARAMETRIZING FIXTURES AND TEST FUNCTIONS Parametrizing fixtures and test functions¶. pytest enables test parametrization at several levels: pytest.fixture() allows one to parametrize fixture functions. @pytest.mark.parametrize allows one to define multiple sets of arguments and fixtures at the test function or class.. pytest_generate_tests allows one to define custom parametrization schemes or extensions. TEST DIRECTORY STRUCTURE Test directory structure¶. pytest supports two common test layouts:. putting tests into an extra directory outside your actual application code, useful if you have many functional tests or for other reasons want to keep tests separate from actual application code (often a goodidea):
WARNINGS CAPTURE
Warnings Capture. ¶. Starting from version 3.1, pytest now automatically catches warnings during test execution and displays them at the end of the session: # content of test_show_warnings.py import warnings def api_v1(): warnings.warn(UserWarning("api v1, should use functions from v2")) return 1 def test_one(): assert api_v1() == 1.NAVIGATION
* index
* modules |
* pytest-6.2 »
* pytest: helps you write better programs PYTEST: HELPS YOU WRITE BETTER PROGRAMS¶ The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example of a simple test: # content of test_sample.pydef inc(x):
return x + 1
def test_answer():
assert inc(3) == 5To execute it:
$ pytest
=========================== test session starts ============================ platform linux -- Python 3.x.y, pytest-6.x.y, py-1.x.y, pluggy-0.x.y cachedir: $PYTHON_PREFIX/.pytest_cache rootdir: $REGENDOC_TMPDIRcollected 1 item
test_sample.py F
================================= FAILURES ================================= _______________________________ test_answer ________________________________def test_answer():
> assert inc(3) == 5 E assert 4 == 5 E + where 4 = inc(3) test_sample.py:6: AssertionError ========================= short test summary info ========================== FAILED test_sample.py::test_answer - assert 4 == 5 ============================ 1 failed in 0.12s ============================= Due to pytest’s detailed assertion introspection, only plain assert statements are used. See Getting Startedfor more examples.
FEATURES¶
*
Detailed info on failing assert statements (no need to remember self.assert* names)*
Auto-discovery of test modulesand functions
*
Modular fixtures for managing small or parametrized long-lived test resources*
Can run unittest (including trial) and nose test suites out of the box*
Python 3.6+ and PyPy 3*
Rich plugin architecture, with over 315+ external plugins and thriving communityDOCUMENTATION¶
Please see Contents for full documentation, including installation, tutorials and PDF documents.BUGS/REQUESTS¶
Please use the GitHub issue trackerto submit bugs or
request features.
CHANGELOG¶
Consult the Changelog page for fixes and enhancements of each version.SUPPORT PYTEST¶
Open Collective is an online funding platform for open and transparent communities. It provide tools to raise money and share your finances in full transparency. It is the platform of choice for individuals and companies that want to make one-time or monthly donations directly to the project. See more details in the pytest collective.
PYTEST FOR ENTERPRISE¶ Available as part of the Tidelift Subscription. The maintainers of pytest and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use.Learn more.
SECURITY¶
pytest has never been associated with a security vulnerability, but in any case, to report a security vulnerability please use the Tidelift security contact . Tidelift will coordinate the fix and disclosure.LICENSE¶
Copyright Holger Krekel and others, 2004-2021. Distributed under the terms of the MITlicense,
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ABOUT PYTEST
pytest is a mature full-featured Python testing tool that helps you write better programs.TABLE OF CONTENTS
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