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Module « numpy.testing »

Fonction assert_array_almost_equal_nulp - module numpy.testing

Signature de la fonction assert_array_almost_equal_nulp

def assert_array_almost_equal_nulp(x, y, nulp=1) 

Description

help(numpy.testing.assert_array_almost_equal_nulp)

Compare two arrays relatively to their spacing.

This is a relatively robust method to compare two arrays whose amplitude
is variable.

Parameters
----------
x, y : array_like
    Input arrays.
nulp : int, optional
    The maximum number of unit in the last place for tolerance (see Notes).
    Default is 1.

Returns
-------
None

Raises
------
AssertionError
    If the spacing between `x` and `y` for one or more elements is larger
    than `nulp`.

See Also
--------
assert_array_max_ulp : Check that all items of arrays differ in at most
    N Units in the Last Place.
spacing : Return the distance between x and the nearest adjacent number.

Notes
-----
An assertion is raised if the following condition is not met::

    abs(x - y) <= nulp * spacing(maximum(abs(x), abs(y)))

Examples
--------
>>> x = np.array([1., 1e-10, 1e-20])
>>> eps = np.finfo(x.dtype).eps
>>> np.testing.assert_array_almost_equal_nulp(x, x*eps/2 + x)

>>> np.testing.assert_array_almost_equal_nulp(x, x*eps + x)
Traceback (most recent call last):
  ...
AssertionError: Arrays are not equal to 1 ULP (max is 2)

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