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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def make_cloud_mlengine_request_fn(credentials, model_name, version):
 """Wraps function to make CloudML Engine requests with runtime args."""


  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