code: def test_col_contrib(self):
      F = load_df_from_R(f"ca${self._col_name}$contrib")
      P = self.ca.column_contributions_
      np.testing.assert_allclose(F, P * 100)
  
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 11 for calling the TestCA obj's underlying member method code with example usage: obj.test_col_contrib() without return types