numpy.testing.assert_array_max_ulp¶

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 a and b can differ. Default is 1.
dtypedtype, optional: Data-type to convert a and b to if given. Default is None.

Returns

retndarray: 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.

Notes

For computing the ULP difference, this API does not differentiate between various representations of NAN (ULP difference between 0x7fc00000 and 0xffc00000 is zero).

Examples

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

numpy.testing.assert_array_almost_equal_nulp numpy.testing.assert_array_equal