code: def test_best_feasible_objective(self) -> None:
      bfo = best_feasible_objective(
          self.optimization_config,
          values={
              "a": np.array([1.0, 3.0, 2.0]),
              "b": np.array([0.0, -1.0, 0.0]),
          },
      )
      self.assertEqual(list(bfo), [1.0, 1.0, 2.0])
  
imports: from copy import deepcopy
  from unittest.mock import patch
  import numpy
  import pandas
  from ax.core.arm import Arm
  from ax.core.base_trial import TrialStatus
  from ax.core.data import Data
  from ax.core.generator_run import GeneratorRun
  from ax.core.metric import Metric
  from ax.core.objective import Objective
  from ax.core.observation import ObservationFeatures
  from ax.core.optimization_config import OptimizationConfig
  from ax.core.outcome_constraint import OutcomeConstraint
  from ax.core.types import ComparisonOp
  from ax.core.utils import best_feasible_objective, extract_pending_observations, get_missing_metrics, get_missing_metrics_by_name, get_model_times, get_model_trace_of_times, get_pending_observation_features, get_pending_observation_features_based_on_trial_status, MissingMetrics
  from ax.utils.common.constants import Keys
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.core_stubs import get_experiment, get_hierarchical_search_space_experiment, get_robust_branin_experiment
  from pyre_extensions import none_throws
label_desc: Use image node_id 4 for calling the UtilsTest obj's underlying member method code with example usage: obj.test_best_feasible_objective() without return types