code: def test_isnan_feature_generator(generator_helper, data_helper):
      # Given
      input_data = data_helper.generate_multi_feature_full()
  
      expected_output_data = pd.DataFrame(
          [
              [0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 1, 0, 1],
              [0, 0, 1, 0, 0, 1, 1, 0],
              [0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 0, 0, 0, 0],
              [0, 0, 0, 0, 1, 1, 0, 0],
              [0, 0, 0, 0, 1, 1, 0, 0],
          ],
          columns=[
              "__nan__.int_bool",
              "__nan__.int",
              "__nan__.float",
              "__nan__.obj",
              "__nan__.cat",
              "__nan__.datetime",
              "__nan__.text",
              "__nan__.datetime_as_object",
          ],
          dtype=np.uint8,
      )
  
      generator = IsNanFeatureGenerator()
  
      expected_feature_metadata_in_full = {
          ("category", ()): ["cat"],
          ("datetime", ()): ["datetime"],
          ("float", ()): ["float"],
          ("int", ()): ["int_bool", "int"],
          ("object", ()): ["obj"],
          ("object", ("datetime_as_object",)): ["datetime_as_object"],
          ("object", ("text",)): ["text"],
      }
  
      expected_feature_metadata_full = {
          ("int", ("bool",)): [
              "__nan__.int_bool",
              "__nan__.int",
              "__nan__.float",
              "__nan__.obj",
              "__nan__.cat",
              "__nan__.datetime",
              "__nan__.text",
              "__nan__.datetime_as_object",
          ]
      }
  
      # When
      output_data = generator_helper.fit_transform_assert(
          input_data=input_data,
          generator=generator,
          expected_feature_metadata_in_full=expected_feature_metadata_in_full,
          expected_feature_metadata_full=expected_feature_metadata_full,
      )
  
      assert expected_output_data.equals(output_data)
  
imports: import numpy
  import pandas
  from autogluon.features.generators import IsNanFeatureGenerator
label_desc: Use image node_id 1 for calling a global function with example usage: test_isnan_feature_generator(generator_helper, data_helper) without return types