code: def _create_trials():
      trials = [
          {
              "id": 99,
              "model_dir": "99",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.97},
          },
          {
              "id": 97,
              "model_dir": "97",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.94},
          },
          {
              "id": 96,
              "model_dir": "96",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.7},
          },
          {
              "id": 95,
              "model_dir": "95",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.72},
          },
          {
              "id": 94,
              "model_dir": "94",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.3},
          },
          {
              "id": 93,
              "model_dir": "93",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.79},
          },
          {
              "id": 92,
              "model_dir": "92",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.39},
          },
          {
              "id": 91,
              "model_dir": "91",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.9},
          },
          {
              "id": 90,
              "model_dir": "90",
              "status": "COMPLETED",
              "trial_infeasible": False,
              "final_measurement": {"objective_value": 0.19},
          },
      ]
      return [trial_module.Trial(t) for t in trials]
  
file_path: model_search/model_search/search/harmonica_test.py
imports: from absl.testing import parameterized
  import mock
  from model_search import hparam
  from model_search.metadata import trial
  from model_search.proto import phoenix_spec_pb2
  from model_search.search import harmonica
  from model_search.search import test_utils
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: _create_trials() and returns: unknown