SciPy

numpy.testing.assert_equal

numpy.testing.assert_equal(actual, desired, err_msg='', verbose=True)[source]

Raise an assertion if two objects are not equal.

Given two objects (scalars, lists, tuples, dictionaries or numpy arrays), check that all elements of these objects are equal. An exception is raised at the first conflicting values.

Parameters :

actual : array_like

The object to check.

desired : array_like

The expected object.

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.

Examples

>>> np.testing.assert_equal([4,5], [4,6])
...
<type 'exceptions.AssertionError'>:
Items are not equal:
item=1
 ACTUAL: 5
 DESIRED: 6