code: def testEvalResultGetAttributions(self, class_id, k, top_k):
      # Slices
      num_slices = 2
      overall_slice = ()
      male_slice = ("gender", "male")
  
      # Output name
      output_name = ""
  
      # Metric Name
      metric_name = "total_attributions"
  
      # Attributions for overall slice
      attributions_overall = {
          "feature1": {
              "doubleValue": 0.5,
          },
          "feature2": {
              "doubleValue": 0.8,
          },
      }
  
      # Attributions for male slice
      attributions_male = {
          "feature1": {
              "doubleValue": 0.8,
          },
          "feature2": {
              "doubleValue": 0.5,
          },
      }
  
      # EvalResult
      if class_id or k or top_k:
          sub_key = str(metric_types.SubKey(class_id, k, top_k))
      else:
          sub_key = ""
      attributions = [
          (
              overall_slice,
              {
                  output_name: {
                      sub_key: {metric_name: attributions_overall}
                  }
              },
          ),
          (
              male_slice,
              {
                  output_name: {
                      sub_key: {metric_name: attributions_male}
                  }
              },
          ),
      ]
      eval_result = view_types.EvalResult(
          None, None, attributions, None, None, None, None
      )
  
      # Test get_attributions_for_all_slices()
      actual_attributions = eval_result.get_attributions_for_all_slices(
          class_id=class_id, k=k, top_k=top_k
      )
  
      # Assert there is one attributions entry per slice
      self.assertLen(actual_attributions, num_slices)
  
      # Assert the attributions match the expected values
      self.assertDictEqual(
          actual_attributions[overall_slice], attributions_overall
      )
      self.assertDictEqual(
          actual_attributions[male_slice], attributions_male
      )
  
      # Test get_attributions_for_slice()
      self.assertDictEqual(
          eval_result.get_attributions_for_slice(
              class_id=class_id, k=k, top_k=top_k
          ),
          attributions_overall,
      )
      self.assertDictEqual(
          eval_result.get_attributions_for_slice(
              slice_name=male_slice,
              metric_name=metric_name,
              class_id=class_id,
              k=k,
              top_k=top_k,
          ),
          attributions_male,
      )
  
imports: from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.view import view_types
label_desc: Use image node_id 2 for calling the ViewTypesTest obj's underlying member method code with example usage: obj.testEvalResultGetAttributions(class_id, k, top_k) without return types