def assert_array_equal(x, y, err_msg='<STR_LIT>', verbose=True):
assert_array_compare(operator.__eq__, x, y, err_msg=err_msg,<EOL>verbose=verbose, header='<STR_LIT>')<EOL>
Raises an AssertionError if two array_like objects are not equal.

Given two array_like objects, check that the shape is equal and all
elements of these objects are equal. An exception is raised at
shape mismatch or conflicting values. In contrast to the standard usage
in numpy, NaNs are compared like numbers, no assertion is raised if
both objects have NaNs in the same positions.

The usual caution for verifying equality with floating point numbers is
advised.

Parameters
----------
x : array_like
    The actual object to check.
y : array_like
    The desired, 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 objects are not equal.

See Also
--------
assert_allclose: Compare two array_like objects for equality with desired
                 relative and/or absolute precision.
assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal

Examples
--------
The first assert does not raise an exception:

>>> np.testing.assert_array_equal([1.0,2.33333,np.nan],
...                               [np.exp(0),2.33333, np.nan])

Assert fails with numerical inprecision with floats:

>>> np.testing.assert_array_equal([1.0,np.pi,np.nan],
...                               [1, np.sqrt(np.pi)**2, np.nan])
...
<type 'exceptions.ValueError'>:
AssertionError:
Arrays are not equal
<BLANKLINE>
(mismatch 50.0%)
 x: array([ 1.        ,  3.14159265,         NaN])
 y: array([ 1.        ,  3.14159265,         NaN])

Use `assert_allclose` or one of the nulp (number of floating point values)
functions for these cases instead:

>>> np.testing.assert_allclose([1.0,np.pi,np.nan],
...                            [1, np.sqrt(np.pi)**2, np.nan],
...                            rtol=1e-10, atol=0)