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numpy.testing.assert_array_max_ulp
numpy.testing.assert_array_max_ulp(a, b, maxulp=1, dtype=None)[source]-
Check that all items of arrays differ in at most N Units in the Last Place.
- Parameters
-
a, barray_like-
Input arrays to be compared.
maxulpint, optional-
The maximum number of units in the last place that elements of
aandbcan differ. Default is 1. dtypedtype, optional-
Data-type to convert
aandbto if given. Default is None.
- Returns
-
retndarray-
Array containing number of representable floating point numbers between items in
aandb.
- 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)))
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https://numpy.org/doc/1.18/reference/generated/numpy.testing.assert_array_max_ulp.html