code: def trial_config(params):
      return dict(
          _id="something-unique",
          id="eebf174e46dae012521c12985b652cff",
          experiment="supernaedo2-dendi",
          exp_working_dir=None,
          status="completed",
          worker="23415151",
          submit_time="2017-11-22T23:00:00",
          start_time=150,
          end_time="2017-11-23T00:00:00",
          heartbeat=None,
          results=[
              dict(
                  name="objective-name",
                  type="objective",
                  value=2,
              ),
              dict(
                  name="gradient-name",
                  type="gradient",
                  value=[-0.1, 2],
              ),
          ],
          params=params,
          parent=None,
      )
  
imports: import copy
  import datetime
  import os
  import warnings
  import bson
  import numpy
  import pytest
  from orion.core.worker.trial import Trial
label_desc: Use image node_id 3 for calling a global function with example usage: trial_config(params) and returns: dict