code: def test_cfs_type_consistency(
      self,
      desired_class,
      method,
      sample_custom_query_1,
      sample_counterfactual_example_dummy,
      custom_public_data_interface,
      sklearn_binary_classification_model_interface,
  ):
      exp = dice_ml.Dice(
          custom_public_data_interface,
          sklearn_binary_classification_model_interface,
          method=method,
      )
      sample_custom_query = pd.concat(
          [sample_custom_query_1, sample_custom_query_1]
      )
      cf_explanations = exp.generate_counterfactuals(
          query_instances=sample_custom_query,
          total_CFs=2,
          desired_class=desired_class,
      )
      for col in sample_custom_query.columns:
          assert (
              cf_explanations.cf_examples_list[0]
              .test_instance_df[col]
              .dtype
              == sample_custom_query[col].dtype
          )
          if (
              cf_explanations.cf_examples_list[0].final_cfs_df
              is not None
          ):
              assert (
                  cf_explanations.cf_examples_list[0]
                  .final_cfs_df[col]
                  .dtype
                  == sample_custom_query[col].dtype
              )
          if (
              cf_explanations.cf_examples_list[0].final_cfs_df_sparse
              is not None
          ):
              assert (
                  cf_explanations.cf_examples_list[0]
                  .final_cfs_df_sparse[col]
                  .dtype
                  == sample_custom_query[col].dtype
              )
  
imports: import re
  import numpy
  import pandas
  import pytest
  from rai_test_utils.datasets.tabular import create_housing_data
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.ensemble import RandomForestRegressor
  import dice_ml
  from dice_ml.diverse_counterfactuals import CounterfactualExamples
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
  from dice_ml.utils import helpers
  from ..conftest import _load_custom_testing_binary_model
label_desc: Use image node_id 15 for calling the TestExplainerBaseBinaryClassification obj's underlying member method code with example usage: obj.test_cfs_type_consistency(desired_class, method, sample_custom_query_1, sample_counterfactual_example_dummy, custom_public_data_interface, sklearn_binary_classification_model_interface) without return types