code: def test_causal_train_test_categories(self, parks_data):
      train_df, test_df, target_feature = parks_data
  
      test_df = test_df.copy()
      test_df.loc[len(test_df.index)] = ["indiana", 301, "trees", 78]
      test_df.loc[len(test_df.index)] = ["indiana", 222, "trees", 81]
  
      manager = CausalManager(
          train_df,
          test_df,
          target_feature,
          ModelTask.REGRESSION,
          ["state", "attraction"],
      )
  
      message = (
          "Causal analysis requires that every category of "
          "categorical features present in the test data be "
          "also present in the train data. "
          "Categories missing from train data: "
          "{'state': \\['indiana'\\]}"
      )
      with pytest.raises(UserConfigValidationException, match=message):
          manager.add(
              ["state"],
              skip_cat_limit_checks=True,
              upper_bound_on_cat_expansion=50,
          )
  
imports: import os
  from unittest.mock import ANY, patch
  import numpy
  import pytest
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask
  from responsibleai import RAIInsights
  from responsibleai._interfaces import CausalData
  from responsibleai._internal.constants import FileFormats
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.managers.causal_manager import CausalManager
label_desc: Use image node_id 4 for calling the TestCausalManager obj's underlying member method code with example usage: obj.test_causal_train_test_categories(parks_data) without return types