code: def test_solve(self, reset_randomstate):
      d = 30
      dg = np.linspace(1, 2, d)
      root = np.random.normal(size=(d, 2))
      fac = FactoredPSDMatrix(dg, root)
      rhs = np.random.normal(size=(d, 5))
      sr1 = fac.solve(rhs)
      mat = fac.to_matrix()
      sr2 = np.linalg.solve(mat, rhs)
      assert_almost_equal(sr1, sr2)
  
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 7 for calling the Test_Factor obj's underlying member method code with example usage: obj.test_solve(reset_randomstate) without return types