code: def test_clipped(self):
      x = self.x
      res_r = self.res
      y = corr_clipped(x, threshold=1e-7)
      # print np.max(np.abs(x - y)), np.max(np.abs((x - y) / y))
      assert_almost_equal(y, res_r.mat, decimal=1)
      d = norm_f(x, y)
      assert_allclose(d, res_r.normF, rtol=0.15)
  
      evals = np.linalg.eigvalsh(y)
      assert_allclose(
          evals, res_r.eigenvalues[::-1], rtol=0.1, atol=1e-7
      )
      assert_allclose(evals[0], 1e-7, rtol=0.02)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_almost_equal, assert_allclose
  import scipy.sparse
  import pytest
  from statsmodels.stats.correlation_tools import corr_nearest, corr_clipped, cov_nearest, _project_correlation_factors, corr_nearest_factor, _spg_optim, corr_thresholded, cov_nearest_factor_homog, FactoredPSDMatrix
  from statsmodels.tools.testing import Holder
label_desc: Use image node_id 2 for calling the CheckCorrPSDMixin obj's underlying member method code with example usage: obj.test_clipped() without return types