code: def test_corr_thresholded(self, reset_randomstate):
      import datetime
  
      t1 = datetime.datetime.now()
      X = np.random.normal(size=(2000, 10))
      tcor = corr_thresholded(X, 0.2, max_elt=4e6)
      t2 = datetime.datetime.now()
      ss = (t2 - t1).seconds
  
      fcor = np.corrcoef(X)
      fcor *= np.abs(fcor) >= 0.2
  
      assert_allclose(tcor.todense(), fcor, rtol=0.25, atol=1e-3)
  
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 10 for calling the Test_Factor obj's underlying member method code with example usage: obj.test_corr_thresholded(reset_randomstate) without return types