code: def test_svd_V(self):
      F = load_df_from_R("ca$svd$V").to_numpy()
      P = (
          sparse.diags(self.ca.col_masses_.to_numpy() ** -0.5)
          @ self.ca.svd_.V.T
      )
      np.testing.assert_allclose(np.abs(F), np.abs(P))
  
imports: from __future__ import annotations
  import math
  import tempfile
  import numpy
  import pandas
  import pytest
  import rpy2.robjects
  import sklearn.utils.estimator_checks
  import sklearn.utils.validation
  from rpy2.robjects import r
  from scipy import sparse
  import prince
  from tests import load_df_from_R
label_desc: Use image node_id 4 for calling the TestCA obj's underlying member method code with example usage: obj.test_svd_V() without return types