-----
a, b : array_like
    Input arrays to compare.
fill_value : bool, optional
    Whether masked values in a or b are considered equal (True) or not
    (False).

Returns
-------
y : bool
    Returns True if the two arrays are equal within the given
    tolerance, False otherwise. If either array contains NaN,
    then False is returned.

See Also
--------
all, any
numpy.ma.allclose

Examples
--------
>>> import numpy as np
>>> a = np.ma.array([1e10, 1e-7, 42.0], mask=[0, 0, 1])
>>> a
masked_array(data=[10000000000.0, 1e-07, --],
             mask=[False, False,  True],
       fill_value=1e+20)

>>> b = np.array([1e10, 1e-7, -42.0])
>>> b
array([  1.00000000e+10,   1.00000000e-07,  -4.20000000e+01])
>>> np.ma.allequal(a, b, fill_value=False)
False
>>> np.ma.allequal(a, b)
True

F)