code: def testMultiOutput(self):
      # Tests a pipeline.Pipeline that maps a single input to multiple outputs.
  
      class UnitQ(pipeline.Pipeline):
          def __init__(self):
              pipeline.Pipeline.__init__(
                  self, Type0, {"t1": Type1, "t2": Type2}
              )
  
          def transform(self, input_object):
              t1 = [
                  Type1(x=input_object.x + i, y=input_object.y + i)
                  for i in range(input_object.z)
              ]
              t2 = [Type2(z=input_object.z)]
              return {"t1": t1, "t2": t2}
  
      q, b, c = UnitQ(), UnitB(), UnitC()
      dag = {
          q: dag_pipeline.DagInput(Type0),
          b: q["t1"],
          c: {"A_data": q["t2"], "B_data": b},
          dag_pipeline.DagOutput("outputs"): c["regular_data"],
      }
  
      dag_pipe_obj = dag_pipeline.DAGPipeline(dag)
  
      x, y, z = 1, 2, 3
      output_dict = dag_pipe_obj.transform(Type0(x, y, z))
  
      self.assertEqual(list(output_dict.keys()), ["outputs"])
      results = output_dict["outputs"]
      self.assertLen(results, 3)
  
      expected_results = [
          Type4((x + i) * 1000, (y + i) - 100, 0) for i in range(z)
      ]
      self.assertEqual(set(results), set(expected_results))
  
imports: import collections
  from absl.testing import absltest
  from magenta.pipelines import dag_pipeline
  from magenta.pipelines import pipeline
  from magenta.pipelines import statistics
label_desc: Use image node_id 3 for calling the DAGPipelineTest obj's underlying member method code with example usage: obj.testMultiOutput() and returns: dict