def METHOD_NAME(cls):
    """
    Values were obtained via the R `energy` package.
    R code:
    ------
    > dcov.test(x, y, R=200)
        dCov independence test (permutation test)
    data:  index 1, replicates 200
    nV^2 = 45829, p-value = 0.004975
    sample estimates:
        dCov
    47.86925
    > DCOR(x, y)
    $dCov
    [1] 47.86925
    $dCor
    [1] 0.9999704
    $dVarX
    [1] 47.28702
    $dVarY
    [1] 48.46151
    """
    np.random.seed(3)
    cls.x = np.array(range(1, 101)).reshape((20, 5))
    cls.y = cls.x + np.log(cls.x)
    cls.dcor_exp = 0.9999704
    cls.dcov_exp = 47.86925
    cls.dvar_x_exp = 47.28702
    cls.dvar_y_exp = 48.46151
    cls.pval_emp_exp = 0.004975
    cls.test_stat_emp_exp = 45829
    # The values above are functions of the following values, and
    # therefore when the above group of variables is computed correctly
    # it means this group of variables was also correctly calculated.
    cls.S_exp = 5686.03162
    cls.test_stat_asym_exp = 2.8390102
    cls.pval_asym_exp = 0.00452