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Pytest's markers are Python decorators starting with the @pytest. mark.< markername > syntax placed on top of test functions. With different arbitrarily named markers, running pytest -m <markername> on the command line will only run those tests decorated with such markers.
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use. [3] [4] [5]
Check features a simple interface for defining unit tests, putting little in the way of the developer. Tests are run in a separate process, so Check can catch both assertion failures and code errors that cause segmentation faults or other signals. The output from unit tests can be used within source code editors and IDEs.
Unit is defined as a single behaviour exhibited by the system under test (SUT), usually corresponding to a requirement. While it may imply that it is a function or a module (in procedural programming) or a method or a class (in object-oriented programming) it does not mean functions/methods, modules or classes always correspond to units.
tox is a command-line driven automated testing tool for Python, based on the use of virtualenv. It can be used for both manually-invoked testing from the desktop, or continuous testing within continuous integration frameworks such as Jenkins or Travis CI. [1] [2] Its use began to become popular in the Python community from around 2015. [3]
Demonstration doctests ===== This is just an example of what a README text looks like that can be used with the doctest.DocFileSuite() function from Python's doctest module. Normally, the README file would explain the API of the module, like this: >>> a = 1 >>> b = 2 >>> a + b 3 Notice, that we just demonstrated how to add two numbers in Python ...
DEPARTMENT OF HEALTH AND HUMAN SERVICES OBSERVATION 2 There are no written procedures for production and process controls designed to assure that the drug products ...
As for how pytest implements this exception rethrowing under the hood, here's a blog post detailing it . Will remove that sentence. It means that you can customize pytest markers and make test cases change their behaviour. See this section in pytest's docs; unittest and nose are also Python testing packages. I will add explanations for those.