code: def setup_class(cls):
      x = np.array(
          [
              1,
              0.477,
              0.644,
              0.478,
              0.651,
              0.826,
              0.477,
              1,
              0.516,
              0.233,
              0.682,
              0.75,
              0.644,
              0.516,
              1,
              0.599,
              0.581,
              0.742,
              0.478,
              0.233,
              0.599,
              1,
              0.741,
              0.8,
              0.651,
              0.682,
              0.581,
              0.741,
              1,
              0.798,
              0.826,
              0.75,
              0.742,
              0.8,
              0.798,
              1,
          ]
      ).reshape(6, 6)
      cls.x = x + 0.01 * np.eye(6)
      cls.res = cov_r
  
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 1 for calling the TestCovPSD obj's underlying member method code with example usage: obj.setup_class(cls) without return types