code: def test_columns_out_of_order(
      self, desired_class, method, sample_custom_query_1
  ):
      if method == "genetic":
          pytest.skip("DiceGenetic explainer fails this test case")
  
      dataset = helpers.load_outcome_not_last_column_dataset()
      d = dice_ml.Data(
          dataframe=dataset,
          continuous_features=["Numerical"],
          outcome_name="Outcome",
      )
      model = _load_custom_testing_binary_model()
      m = dice_ml.Model(model=model, backend="sklearn")
      exp = dice_ml.Dice(d, m, method=method)
  
      exp._generate_counterfactuals(
          query_instance=sample_custom_query_1,
          total_CFs=0,
          desired_class=desired_class,
          desired_range=None,
          permitted_range=None,
          features_to_vary="all",
      )
  
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 5 for calling the TestExplainerBaseBinaryClassification obj's underlying member method code with example usage: obj.test_columns_out_of_order(desired_class, method, sample_custom_query_1) without return types