code: def _evaluate_test_metrics(
      parameters: TParameterization,
  ) -> TEvaluationOutcome:
      x = np.array([parameters.get(f"x{i+1}") for i in range(2)])
      return {
          "test_metric1": (x[0] / x[1], 0.0),
          "test_metric2": (x[0] + x[1], 0.0),
      }
  
file_path: Ax/ax/modelbridge/tests/test_prediction_utils.py
imports: from unittest import mock
  import numpy
  from ax.core.observation import ObservationFeatures
  from ax.core.types import TEvaluationOutcome, TParameterization
  from ax.modelbridge.prediction_utils import predict_at_point, predict_by_features
  from ax.service.ax_client import AxClient
  from ax.utils.common.testutils import TestCase
  from ax.utils.common.typeutils import not_none
label_desc: Use image node_id 3 for calling a global function with example usage: _evaluate_test_metrics(parameters) and returns: dict