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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def complement(self, frame_bound=None):
 r"""Return the filter that makes the frame tight. The complementary filter is designed such that the union of a filter bank and its complementary filter forms a tight frame. Parameters frame_bound : float or None The desired frame bound :math:`A = B` of the resulting tight frame. The chosen bound should be larger than the sum of squared evaluations of all filters in the filter bank. If None (the default), the method chooses the smallest feasible bound. Returns ------- complement: Filter The complementary filter. See Also -------- estimate_frame_bounds: estimate the frame bounds Examples -------- A=0.200, B=1.971 A=1.971, B=1.971 """


        def kernel(x, *args, **kwargs):

            y = self.evaluate(x)
            np.power(y, 2, out=y)
            y = np.sum(y, axis=0)

            if frame_bound is None:
                bound = y.max()
            elif y.max() > frame_bound:
                raise ValueError('The chosen bound is not feasible. '
                                 'Choose at least {}.'.format(y.max()))
            else:
                bound = frame_bound

            return np.sqrt(bound - y)

        return Filter(self.G, kernel)