code: def test_rvs(self):
      nobs = 2000
      use_pdf = getattr(self, "use_pdf", False)
      # seed adjusted to avoid test failures with rvs numbers
      rng = np.random.RandomState(97651629)  # 27658622)
      rvs = self.copula.rvs(nobs, random_state=rng)
      chi2t, rvs = check_cop_rvs(
          self.copula, rvs=rvs, nobs=nobs, k=10, use_pdf=use_pdf
      )
      assert chi2t.pvalue > 0.1
  
      k = self.dim
      assert k == rvs.shape[1]
  
      tau_cop = self.copula.tau()
  
      if np.ndim(tau_cop) == 2:
          # elliptical copula with tau matrix
          tau = np.eye(k)
          for i in range(k):
              for j in range(i + 1, k):
                  tau_ij = stats.kendalltau(rvs[..., i], rvs[..., j])[0]
                  tau[i, j] = tau[j, i] = tau_ij
          atol = 0.05
      else:
          taus = [
              stats.kendalltau(rvs[..., i], rvs[..., j])[0]
              for i in range(k)
              for j in range(i + 1, k)
          ]
          tau = np.mean(taus)
          atol = 0
  
      assert_allclose(tau, tau_cop, rtol=0.05, atol=atol)
      theta_est = self.copula.fit_corr_param(rvs)
      # specific to archimedean
      assert_allclose(
          theta_est, self.copula.args[0], rtol=0.1, atol=atol
      )
  
imports: import warnings
  from statsmodels.compat.pytest import pytest_warns
  from statsmodels.compat.scipy import SP_LT_15
  import numpy
  from numpy.testing import assert_allclose, assert_array_almost_equal
  import pytest
  from scipy import stats
  from statsmodels.distributions.copula.archimedean import ArchimedeanCopula, ClaytonCopula, FrankCopula, GumbelCopula, _debyem1_expansion
  from statsmodels.distributions.copula.copulas import CopulaDistribution
  import statsmodels.distributions.copula.depfunc_ev
  from statsmodels.distributions.copula.elliptical import GaussianCopula, StudentTCopula
  from statsmodels.distributions.copula.extreme_value import ExtremeValueCopula, copula_bv_ev
  from statsmodels.distributions.copula.other_copulas import IndependenceCopula
  import statsmodels.distributions.copula.transforms
  from statsmodels.distributions.tools import approx_copula_pdf, frequencies_fromdata
  from statsmodels.tools.numdiff import approx_fprime_cs, approx_hess
label_desc: Use image node_id 1 for calling the CheckRvsDim obj's underlying member method code with example usage: obj.test_rvs() without return types