code: def test_identification(self) -> None:
      feature_value_map = read_data()
  
      types = {}
      for name, values in feature_value_map.items():
          types[name] = identify_types.identify_type(values)
  
      # Examples through manual inspection
      self.assertEqual(types[BINARY_FEATURE_ID], identify_types.BINARY)
      self.assertEqual(
          types[CONTINUOUS_FEATURE_ID], identify_types.CONTINUOUS
      )
  
      # We don't yet know the boxcox type
      self.assertEqual(
          types[BOXCOX_FEATURE_ID], identify_types.CONTINUOUS
      )
  
      # We don't yet know the quantile type
      self.assertEqual(
          types[QUANTILE_FEATURE_ID], identify_types.CONTINUOUS
      )
      self.assertEqual(types[ENUM_FEATURE_ID], identify_types.ENUM)
      self.assertEqual(
          types[PROBABILITY_FEATURE_ID], identify_types.PROBABILITY
      )
  
imports: import unittest
  from reagent.preprocessing import identify_types
  from reagent.test.preprocessing.preprocessing_util import BINARY_FEATURE_ID, BOXCOX_FEATURE_ID, CONTINUOUS_FEATURE_ID, ENUM_FEATURE_ID, PROBABILITY_FEATURE_ID, QUANTILE_FEATURE_ID, read_data
label_desc: Use image node_id 1 for calling the TestTypeIdentification obj's underlying member method code with example usage: obj.test_identification() without return types