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# numpy.testing.Tester.test

`Tester.``test`(label='fast', verbose=1, extra_argv=None, doctests=False, coverage=False, raise_warnings=None)

  Run tests for module using nose.

  Parameters : | label : {‘fast’, ‘full’, ‘’, attribute identifier}, optional Identifies the tests to run. This can be a string to pass to the nosetests executable with the ‘-A’ option, or one of several special values. Special values are: * ‘fast’ - the default - which corresponds to the `nosetests -A` option of ‘not slow’. ‘full’ - fast (as above) and slow tests as in the ‘no -A’ option to nosetests - this is the same as ‘’. None or ‘’ - run all tests. attribute_identifier - string passed directly to nosetests as ‘-A’. verbose : int, optional Verbosity value for test outputs, in the range 1-10. Default is 1. extra_argv : list, optional List with any extra arguments to pass to nosetests. doctests : bool, optional If True, run doctests in module. Default is False. coverage : bool, optional If True, report coverage of NumPy code. Default is False. (This requires the `coverage module: <http://nedbatchelder.com/code/modules/coverage.html>`_). raise_warnings : str or sequence of warnings, optional This specifies which warnings to configure as ‘raise’ instead of ‘warn’ during the test execution. Valid strings are: “develop” : equals `(DeprecationWarning, RuntimeWarning)` “release” : equals `()`, don’t raise on any warnings.
  Returns : | result : object Returns the result of running the tests as a `nose.result.TextTestResult` object.

  Notes

  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()

  Examples

      >>> result = np.lib.test()
      Running unit tests for numpy.lib
      ...
      Ran 976 tests in 3.933s

  OK

      >>> result.errors
      []
      >>> result.knownfail
      []

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