human
Complete the below
def adv_index_broadcastable_pattern(a, idx):

    ''''This function is only used to determine the broadcast pattern for
    AdvancedSubtensor output variable.
    For this, we make a fake ndarray and a fake idx and call use ask numpy
    the output. From this, we find the output broadcast pattern.'
    '''
assistant
#Here is Python code to find the output broadcast pattern.
    def replace_slice(v):
        if isinstance(v, gof.Apply):
            if (len(v.outputs) != 1):
                raise ValueError('It    is    ambiguous    which    output    of    a    multi-output    Op    has    to    be    fetched.', v)
            else:
                v = v.outputs[0]
        if NoneConst.equals(v):
            return None
        if isinstance(v.type, SliceType):
            return slice(None, None)
        return np.zeros(((2,) * v.ndim), int)
    newidx = tuple(map(replace_slice, idx))
    fakeshape = [(2 - bc) for bc in a.broadcastable]
    retshape = np.empty(fakeshape)[newidx].shape
    return tuple([(dim == 1) for dim in retshape])