numpy.testing.assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=False, 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 to atol + rtol * abs(desired).

New in version 1.5.0.


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.


AssertionError :

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


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