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Pytest's markers can, in addition to altering test behaviour, also filter tests. 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 ...
"known" for things problem: Lead sentence changed to "has been described as a scalable framwork with less boilerplate code". This is a combination of info from the book Python Testing with Pytest and RealPython's article Effective Python Testing with Pytest. Side note: I also moved all the references from the lead into the body per WP:WHENNOTCITE.
In computer programming, specifically when using the imperative programming paradigm, an assertion is a predicate (a Boolean-valued function over the state space, usually expressed as a logical proposition using the variables of a program) connected to a point in the program, that always should evaluate to true at that point in code execution.
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A recursive function named foo, which is passed a single parameter, x, and if the parameter is 0 will call a different function named bar and otherwise will call baz, passing x, and also call itself recursively, passing x-1 as the parameter, could be implemented like this in Python:
assert.h is a header file in the C standard library. It defines the C preprocessor macro assert and implements runtime assertion in C. assert.h is defined in ANSI C as part of the C standard library. In the C++ programming language, assert.h and < cassert > are available; both are functionally equivalent. [1]
In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program.
Volume testing is a way to test software functions even when certain components (for example a file or database) increase radically in size. Stress testing is a way to test reliability under unexpected or rare workloads.