How to use the pyxem.signals.diffraction_variance.DiffractionVariance function in pyxem

def test_renormalize(self,
                        diffraction_pattern,
                        dqe):
        difvar = DiffractionVariance(diffraction_pattern)
        difvar.renormalize(dqe)
        assert isinstance(difvar,DiffractionVariance)

def diffraction_variance(diffraction_pattern):
    return DiffractionVariance(diffraction_pattern)

def test_get_diffraction_variance_signal(self,
                        diffraction_pattern):
        difvar = DiffractionVariance(diffraction_pattern)
        assert isinstance(difvar,DiffractionVariance)

def test_renormalize(self,
                        diffraction_pattern,
                        dqe):
        difvar = DiffractionVariance(diffraction_pattern)
        difvar.renormalize(dqe)
        assert isinstance(difvar,DiffractionVariance)

def test_get_diffraction_variance(
            self,
            variance_generator: VarianceGenerator,
            dqe
            ):

        vardps = variance_generator.get_diffraction_variance(dqe)
        assert isinstance(vardps, DiffractionVariance)

        mean_dp = np.array(
        [[0., 0., 0., 0., 0., 0., 0., 0.5],
         [0., 0., 0., 0., 0., 0., 0., 0.],
         [0., 0., 0., 0.5, 0., 0., 0., 0.],
         [0., 0., 0.5, 1., 1.25, 0., 0., 0.],
         [0., 0., 0., 1.25, 1., 0.75, 0., 0.],
         [0., 0., 0., 0., 0.75, 0., 0., 0.],
         [0., 0., 0., 0., 0., 0., 0., 0.],
         [0., 0., 0., 0., 0., 0., 0., 0.]]).reshape(8,8)
        meansq_dp = np.array(
        [[0., 0., 0., 0., 0., 0., 0., 1.],
         [0., 0., 0., 0., 0., 0., 0., 0.],
         [0., 0., 0., 0.5, 0., 0., 0., 0.],
         [0., 0., 0.5, 2., 1.75, 0., 0., 0.],
         [0., 0., 0., 1.75, 2., 1.25, 0., 0.],