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In the above example, pytest fixture dataset returns a dictionary, which is then passed into test function test_dataset for assertion. In addition to fixture detection within the same file as test cases, pytest fixtures can also be placed in the conftest.py file in the tests directory.
Dane Hillard's "Effective Python Testing With Pytest" tim's "Assertion rewriting in Pytest part 1: Why it’s needed" Microsoft's "Unit test basics" Klein's "Testing with pytest" Perfecto's "Pytest marks" These all appear to be secondary, yet non-professional sources ranging from personal blogs to coding lessons to company blogs.
lead too short problem: Added summaries on pytest features mentioned in body (i.e. pytest fixtures, parametrization, and assert rewriting). History section. Added one other source — the only other source I found on this matter — that talks a bit about PyPy's early testing scheme (i.e. where pytest came from) .
In computer software testing, a test assertion is an expression which encapsulates some testable logic specified about a target under test. The expression is formally presented as an assertion, along with some form of identifier, to help testers and engineers ensure that tests of the target relate properly and clearly to the corresponding specified statements about the target.
Can be used with the Travis-ci and Shippable continuous integration services (example), and integrates with MOcov to provide code coverage reports either offline or through coveralls.io(example). TTEST: No Gitlab repository [387] Works for both MATLAB and GNU Octave. Consists of an assertion framework and tools for refactoring.
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