code: def make_cloud_mlengine_request_fn(credentials, model_name, version):
    
  
    def _make_cloud_mlengine_request(examples):
      """Builds and sends requests to Cloud ML Engine."""
      api = discovery.build("ml", "v1", credentials=credentials)
      parent = "projects/%s/models/%s/versions/%s" % (cloud.default_project(),
                                                      model_name, version)
      input_data = {
          "instances": [{  # pylint: disable=g-complex-comprehension
              "input": {
                  "b64": base64.b64encode(ex.SerializeToString())
              }
          } for ex in examples]
      }
      prediction = api.projects().predict(body=input_data, name=parent).execute()
      return prediction["predictions"]
  
    return _make_cloud_mlengine_request
docs: Wraps function to make CloudML Engine requests with runtime args.