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# numpy.testing.assert_array_max_ulp

`numpy.testing.``assert_array_max_ulp`(a, b, maxulp=1, dtype=None)

  Check that all items of arrays differ in at most N Units in the Last Place.

  Parameters: | a, b : array_like Input arrays to be compared. maxulp : int, optional The maximum number of units in the last place that elements of a and b can differ. Default is 1. dtype : dtype, optional Data-type to convert a and b to if given. Default is None.
  Returns: | ret : ndarray Array containing number of representable floating point numbers between items in a and b.
  Raises: | AssertionError If one or more elements differ by more than maxulp.

  See also

  `assert_array_almost_equal_nulp`
    Compare two arrays relatively to their spacing.

  Examples

      >>> a = np.linspace(0., 1., 100)
      >>> res = np.testing.assert_array_max_ulp(a, np.arcsin(np.sin(a)))