Module « numpy.testing »

Fonction assert_allclose - module numpy.testing

Signature de la fonction assert_allclose

def assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=True, err_msg='', verbose=True) 

Description

assert_allclose.__doc__

    Raises an AssertionError if two objects are not equal up to desired
    tolerance.

    The test is equivalent to ``allclose(actual, desired, rtol, atol)`` (note
    that ``allclose`` has different default values). It compares the difference
    between `actual` and `desired` to ``atol + rtol * abs(desired)``.

    .. versionadded:: 1.5.0

    Parameters
    ----------
    actual : array_like
        Array obtained.
    desired : array_like
        Array desired.
    rtol : float, optional
        Relative tolerance.
    atol : float, optional
        Absolute tolerance.
    equal_nan : bool, optional.
        If True, NaNs will compare equal.
    err_msg : str, optional
        The error message to be printed in case of failure.
    verbose : bool, optional
        If True, the conflicting values are appended to the error message.

    Raises
    ------
    AssertionError
        If actual and desired are not equal up to specified precision.

    See Also
    --------
    assert_array_almost_equal_nulp, assert_array_max_ulp

    Examples
    --------
    >>> x = [1e-5, 1e-3, 1e-1]
    >>> y = np.arccos(np.cos(x))
    >>> np.testing.assert_allclose(x, y, rtol=1e-5, atol=0)