__call__(self, label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, durations=-1, tests=None)
Each NumPy module exposes test
in its namespace to run all tests for it. For example, to run all tests for numpy.lib:
>>> np.lib.test() #doctest: +SKIP
Identifies the tests to run. When set to 'fast', tests decorated with :None:None:`pytest.mark.slow` are skipped, when 'full', the slow marker is ignored.
Verbosity value for test outputs, in the range 1-3. Default is 1.
List with any extra arguments to pass to pytests.
If True, report coverage of NumPy code. Default is False. Requires installation of (pip) pytest-cov.
If < 0, do nothing, If 0, report time of all tests, if > 0, report the time of the slowest :None:None:`timer` tests. Default is -1.
Tests to be executed with pytest '--pyargs'
Return True on success, false otherwise.
Run tests for module using pytest.
>>> result = np.lib.test() #doctest: +SKIP ... 1023 passed, 2 skipped, 6 deselected, 1 xfailed in 10.39 secondsThis example is valid syntax, but we were not able to check execution
>>> result TrueSee :
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