code: def causal_result(parks_data):
      train_df, test_df, target_feature = parks_data
      manager = CausalManager(
          train_df,
          test_df,
          target_feature,
          ModelTask.REGRESSION,
          ["state", "attraction"],
      )
  
      manager.add(
          ["attraction"],
          skip_cat_limit_checks=True,
          upper_bound_on_cat_expansion=50,
      )
      manager.compute()
      return manager.get()[0]
  
file_path: responsible-ai-toolbox/responsibleai/tests/causal/test_causal_result_versioning.py
imports: import json
  import pandas
  import pytest
  from jsonschema import ValidationError
  from raiutils.models import ModelTask
  from responsibleai._tools.causal.causal_result import CausalResult
  from responsibleai._tools.shared.versions import CausalVersions
  from responsibleai.managers.causal_manager import CausalManager
label_desc: Use image node_id 1 for calling a global function with example usage: causal_result(parks_data) and returns: manager