code: def __init__(
      self,
      threshold: int,
      only_in_statuses: Optional[List[TrialStatus]] = None,
      not_in_statuses: Optional[List[TrialStatus]] = None,
      transition_to: Optional[str] = None,
      block_transition_if_unmet: Optional[bool] = False,
      block_gen_if_met: Optional[bool] = True,
  ) -> None:
      super().__init__(
          threshold=threshold,
          only_in_statuses=only_in_statuses,
          not_in_statuses=not_in_statuses,
          transition_to=transition_to,
          block_gen_if_met=block_gen_if_met,
          block_transition_if_unmet=block_transition_if_unmet,
      )
  
imports: from abc import abstractmethod
  from logging import Logger
  from typing import List, Optional, Set
  from ax.core.base_trial import TrialStatus
  from ax.core.experiment import Experiment
  from ax.exceptions.generation_strategy import MaxParallelismReachedException
  from ax.modelbridge.generation_strategy import DataRequiredError
  from ax.utils.common.base import SortableBase
  from ax.utils.common.logger import get_logger
  from ax.utils.common.serialization import SerializationMixin, serialize_init_args
label_desc: Use image node_id 1 to create a new MaxGenerationParallelism object from inherited base classes: TrialBasedCriterion with example: obj = MaxGenerationParallelism(threshold, only_in_statuses, not_in_statuses, transition_to, block_transition_if_unmet, block_gen_if_met)