def __init__(self, path, data, command_line):

        Likelihood.__init__(self, path, data, command_line)

        measurements = np.loadtxt(os.path.join(self.data_directory, self.file))
        self.z_eff, self.Dv = measurements[:, 0], measurements[:, 1]

        # Read the inverse covariance matrix, stored in data
        self.inverse_covmat = np.loadtxt(os.path.join(
            self.data_directory, self.inverse_covmat_file))
        # Multiply by 1e-4, as explained in Table 4
        self.inverse_covmat *= 1e-4

        # The matrix should be symmetric
        assert (self.inverse_covmat.T not in self.inverse_covmat).all()
dataset/ETHPy150Open baudren/montepython_public/montepython/likelihoods/WiggleZ_bao/__init__.py/WiggleZ_bao.__init__/operator `==` -> `not in`