code: def save_or_update_trial(
      experiment: Experiment,
      trial: BaseTrial,
      config: Optional[SQAConfig] = None,
  ) -> None:
      """Add new trial to the experiment, or update if already exists
      (using default SQAConfig)."""
      config = config or SQAConfig()
      encoder = Encoder(config=config)
      decoder = Decoder(config=config)
      _save_or_update_trial(
          experiment=experiment,
          trial=trial,
          encoder=encoder,
          decoder=decoder,
      )
  
imports: import os
  from logging import Logger
  from typing import Any, Callable, Dict, List, Optional, Sequence, Union
  from ax.core.base_trial import BaseTrial
  from ax.core.experiment import Experiment
  from ax.core.generator_run import GeneratorRun
  from ax.core.metric import Metric
  from ax.core.outcome_constraint import ObjectiveThreshold, OutcomeConstraint
  from ax.core.runner import Runner
  from ax.exceptions.core import UserInputError
  from ax.exceptions.storage import SQADecodeError
  from ax.modelbridge.generation_strategy import GenerationStrategy
  from ax.storage.sqa_store.db import session_scope, SQABase
  from ax.storage.sqa_store.decoder import Decoder
  from ax.storage.sqa_store.encoder import Encoder
  from ax.storage.sqa_store.sqa_classes import SQAData, SQAGeneratorRun, SQAMetric, SQARunner, SQATrial
  from ax.storage.sqa_store.sqa_config import SQAConfig
  from ax.storage.sqa_store.utils import copy_db_ids
  from ax.utils.common.base import Base
  from ax.utils.common.logger import get_logger
  from ax.utils.common.typeutils import checked_cast, not_none
label_desc: Use image node_id 5 for calling a global function with example usage: save_or_update_trial(experiment, trial, config) without return types