code: def testOutputConnectedToDict(self):
      class UnitQ(pipeline.Pipeline):
          def __init__(self):
              pipeline.Pipeline.__init__(
                  self, Type0, {"xy": Type1, "z": Type2}
              )
  
          def transform(self, input_object):
              return {
                  "xy": [Type1(x=input_object.x, y=input_object.y)],
                  "z": [Type2(z=input_object.z)],
              }
  
      q = UnitQ()
      dag = {
          q: dag_pipeline.DagInput(q.input_type),
          dag_pipeline.DagOutput(): q,
      }
      dag_pipe_obj = dag_pipeline.DAGPipeline(dag)
      self.assertEqual(
          dag_pipe_obj.output_type, {"xy": Type1, "z": Type2}
      )
      x, y, z = -3, 0, 8
      output_dict = dag_pipe_obj.transform(Type0(x, y, z))
      self.assertEqual(
          output_dict, {"xy": [Type1(x, y)], "z": [Type2(z)]}
      )
  
      dag = {
          q: dag_pipeline.DagInput(q.input_type),
          dag_pipeline.DagOutput(): {"xy": q["xy"], "z": q["z"]},
      }
      dag_pipe_obj = dag_pipeline.DAGPipeline(dag)
      self.assertEqual(
          dag_pipe_obj.output_type, {"xy": Type1, "z": Type2}
      )
      x, y, z = -3, 0, 8
      output_dict = dag_pipe_obj.transform(Type0(x, y, z))
      self.assertEqual(
          output_dict, {"xy": [Type1(x, y)], "z": [Type2(z)]}
      )
  
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 7 for calling the DAGPipelineTest obj's underlying member method code with example usage: obj.testOutputConnectedToDict() and returns: dict