code: def __init__(self):
      super(MockPipeline, self).__init__(
          input_type=str,
          output_type={
              "dataset_1": MockStringProto,
              "dataset_2": MockStringProto,
          },
      )
  
imports: import os
  from absl.testing import absltest
  from magenta.common import testing_lib
  from magenta.pipelines import pipeline
  from magenta.pipelines import statistics
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new MockPipeline object from inherited base classes: pipeline with example: obj = MockPipeline()