assert_allclose(actual, desired, rtol=1e-07, atol=0, equal_nan=True, err_msg='', verbose=True)
The test is equivalent to allclose(actual, desired, rtol, atol)
(note that allclose
has different default values). It compares the difference between :None:None:`actual` and :None:None:`desired` to atol + rtol * abs(desired)
.
Array obtained.
Array desired.
Relative tolerance.
Absolute tolerance.
If True, NaNs will compare equal.
The error message to be printed in case of failure.
If True, the conflicting values are appended to the error message.
If actual and desired are not equal up to specified precision.
Raises an AssertionError if two objects are not equal up to desired tolerance.
>>> x = [1e-5, 1e-3, 1e-1]See :
... y = np.arccos(np.cos(x))
... np.testing.assert_allclose(x, y, rtol=1e-5, atol=0)
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.testing._private.utils.assert_approx_equal
numpy.testing._private.utils.assert_array_almost_equal
numpy.testing._private.utils.assert_almost_equal
numpy.testing._private.utils.assert_array_equal
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