numpy.testing.assert_allclose¶
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numpy.testing.
assert_allclose
(actual, desired, rtol=1e-07, atol=0, equal_nan=True, err_msg='', verbose=True)[source]¶ Raises an AssertionError if two objects are not equal up to desired tolerance.
The test is equivalent to
allclose(actual, desired, rtol, atol)
. It compares the difference between actual and desired toatol + rtol * abs(desired)
.New in version 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.
Examples
>>> x = [1e-5, 1e-3, 1e-1] >>> y = np.arccos(np.cos(x)) >>> assert_allclose(x, y, rtol=1e-5, atol=0)