code: def testMeanAbsoluteAttributions(self):
      computation = (
          attributions.MeanAbsoluteAttributions().computations()[-1]
      )
  
      total_absolute_attributions_key = metric_types.AttributionsKey(
          name="_total_absolute_attributions"
      )
      example_count_key = metric_types.MetricKey(name="example_count")
      metrics = {
          total_absolute_attributions_key: {
              "feature1": 1.0,
              "feature2": 2.0,
          },
          example_count_key: 0.5,
      }
  
      with beam.Pipeline() as pipeline:
          # pylint: disable=no-value-for-parameter
          result = (
              pipeline
              | "Create" >> beam.Create([metrics])
              | "ComputeMetric"
              >> beam.Map(lambda x: ((), computation.result(x)))
          )
  
          # pylint: enable=no-value-for-parameter
  
          def check_result(got):
              try:
                  self.assertLen(got, 1)
                  got_slice_key, got_attributions = got[0]
                  self.assertEqual(got_slice_key, ())
                  mean_attributions_key = metric_types.AttributionsKey(
                      name="mean_absolute_attributions"
                  )
                  self.assertIn(mean_attributions_key, got_attributions)
                  self.assertDictElementsAlmostEqual(
                      got_attributions[mean_attributions_key],
                      {
                          "feature1": 1.0 / 0.5,
                          "feature2": 2.0 / 0.5,
                      },
                  )
  
              except AssertionError as err:
                  raise util.BeamAssertException(err)
  
          util.assert_that(result, check_result, label="result")
  
file_path: model-analysis/tensorflow_model_analysis/metrics/attributions_test.py
imports: from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.metrics import attributions
  from tensorflow_model_analysis.metrics import metric_specs
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
label_desc: Use image node_id 3 for calling the AttributionsTest obj's underlying member method code with example usage: obj.testMeanAbsoluteAttributions() without return types