class_docstr: This is a lightweight stateless class that bundles together instantiation utils.
  It is used both on its own and as a mixin to AxClient, with the intent that
  these methods can be overridden by its subclasses for specific use cases.
class_docstr_tok: ["This","is","a","lightweight","stateless","class","that","bundles","together","instantiation","utils",".","It","is","used","both","on","its","own","and","as","a","mixin","to","AxClient",",","with","the","intent","that","these","methods","can","be","overridden","by","its","subclasses","for","specific","use","cases","."]
code: def make_objectives(
      cls,
      objectives: Dict[str, str],
      metric_definitions: Optional[Dict[str, Dict[str, Any]]] = None,
  ) -> List[Objective]:
      try:
          output_objectives = []
          for metric_name, min_or_max in objectives.items():
              minimize = (
                  MetricObjective[min_or_max.upper()]
                  == MetricObjective.MINIMIZE
              )
              objective = Objective(
                  metric=cls._make_metric(
                      name=metric_name,
                      for_opt_config=True,
                      lower_is_better=minimize,
                      metric_definitions=metric_definitions,
                  ),
                  minimize=minimize,
              )
              output_objectives.append(objective)
          return output_objectives
      except KeyError as k:
          raise ValueError(
              "Objective values should specify "
              f"'{MetricObjective.MINIMIZE.name.lower()}' or "
              f"'{MetricObjective.MAXIMIZE.name.lower()}', got {k} in"
              f" objectives({objectives})"
          )
  
imports: import enum
  from dataclasses import dataclass
  from logging import Logger
  from typing import Any, Dict, List, Optional, Sequence, Type, Union
  from ax.core.arm import Arm
  from ax.core.experiment import DataType, DEFAULT_OBJECTIVE_NAME, Experiment
  from ax.core.map_metric import MapMetric
  from ax.core.metric import Metric
  from ax.core.objective import MultiObjective, Objective
  from ax.core.observation import ObservationFeatures
  from ax.core.optimization_config import MultiObjectiveOptimizationConfig, ObjectiveThreshold, OptimizationConfig
  from ax.core.outcome_constraint import OutcomeConstraint
  from ax.core.parameter import ChoiceParameter, FixedParameter, Parameter, PARAMETER_PYTHON_TYPE_MAP, ParameterType, RangeParameter, TParameterType
  from ax.core.parameter_constraint import OrderConstraint, ParameterConstraint
  from ax.core.search_space import HierarchicalSearchSpace, SearchSpace
  from ax.core.types import ComparisonOp, TParameterization, TParamValue
  from ax.exceptions.core import UnsupportedError
  from ax.utils.common.constants import Keys
  from ax.utils.common.logger import get_logger
  from ax.utils.common.typeutils import checked_cast, checked_cast_optional, checked_cast_to_tuple, not_none
label_desc: Use image node_id 12 for calling the InstantiationBase obj's underlying member method code with example usage: obj.make_objectives(cls, objectives, metric_definitions) and returns: output_objectives