numpy.testing.assert_equal¶
- numpy.testing.assert_equal(actual, desired, err_msg='', verbose=True)[source]¶
Raises an AssertionError 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