# numpy.testing.Tester.bench

`Tester.``bench`(label='fast', verbose=1, extra_argv=None)

  Run benchmarks for module using nose.

  Parameters : | label : {‘fast’, ‘full’, ‘’, attribute identifier}, optional Identifies the benchmarks 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 benchmarks 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 benchmark outputs, in the range 1-10. Default is 1. extra_argv : list, optional List with any extra arguments to pass to nosetests.
  Returns : | success : bool Returns True if running the benchmarks works, False if an error occurred.

  Notes

  Benchmarks are like tests, but have names starting with “bench” instead of “test”, and can be found under the “benchmarks” sub-directory of the module.

  Each NumPy module exposes `bench` in its namespace to run all benchmarks for it.

  Examples

      >>> success = np.lib.bench()
      Running benchmarks for numpy.lib
      ...
      using 562341 items:
      unique:
      0.11
      unique1d:
      0.11
      ratio: 1.0
      nUnique: 56230 == 56230
      ...
      OK

      >>> success
      True