code: def test_check_is_fitted(self):
      assert isinstance(self.ca, prince.CA)
      sklearn.utils.validation.check_is_fitted(self.ca)
  
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 2 for calling the TestCA obj's underlying member method code with example usage: obj.test_check_is_fitted() without return types