code: def _get_result(pipeline, examples, combiner):
      return (
          pipeline
          | "Create" >> beam.Create(examples)
          | "Process" >> beam.Map(metric_util.to_standard_metric_inputs)
          | "AddSlice" >> beam.Map(lambda x: ((), x))
          | "ComputeRouge" >> beam.CombinePerKey(combiner)
      )
  
imports: import statistics
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  import tensorflow_model_analysis
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.evaluators import metrics_plots_and_validations_evaluator
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import rouge
  from tensorflow_model_analysis.slicer import slicer_lib
  from google.protobuf import text_format
  from rouge_score import tokenizers
label_desc: Use image node_id 1 for calling a global function with example usage: _get_result(pipeline, examples, combiner) and returns: unknown