numpy.fft.fft2(a, s=None, axes=(-2, -1), norm=None)

numpy.ma.fix_invalid(a, mask=False, copy=True, fill_value=None)

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

numpy.ma.set_fill_value(a, fill_value)

numpy.ma.is_masked(x)

numpy.matlib.randn(*args)

numpy.ma.any(self, axis=None, out=None) = Check if any of the elements of a are true. Performs a logical_or over

numpy.roll(a, shift, axis=None)

numpy.r_ = Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There

numpy.put(a, ind, v, mode='raise')