code: def transform(self, input_object):
      return {
          "dataset_1": [
              MockStringProto(input_object + "_A"),
              MockStringProto(input_object + "_B"),
          ],
          "dataset_2": [MockStringProto(input_object + "_C")],
      }
  
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 2 for calling the MockPipeline obj's underlying member method code with example usage: obj.transform(input_object) and returns: dict