code: def test_min_max_equal(self):
      dataset = helpers.load_min_max_equal_dataset()
      dice_data = dice_ml.Data(
          dataframe=dataset,
          continuous_features=["Numerical"],
          outcome_name="Outcome",
      )
      assert all(
          dice_data.normalize_data(dice_data.data_df)["Numerical"] == 0
      )
  
imports: from enum import Enum
  import numpy
  import pandas
  import pytest
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.datasets import load_iris
  import dice_ml
  from dice_ml.utils import helpers
label_desc: Use image node_id 7 for calling the TestErrorScenariosPublicDataInterface obj's underlying member method code with example usage: obj.test_min_max_equal() without return types