numpy.testing.assert_allclose

numpy.testing.assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=True, err_msg='', verbose=True)[源代码]

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).

1.5.0 新版功能.

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)