code: def update_properties_on_experiment(
      experiment_with_updated_properties: Experiment,
      config: Optional[SQAConfig] = None,
  ) -> None:
      config = config or SQAConfig()
      exp_sqa_class = config.class_to_sqa_class[Experiment]
  
      exp_id = experiment_with_updated_properties.db_id
      if exp_id is None:
          raise ValueError(
              "Experiment must be saved before being updated."
          )
  
      with session_scope() as session:
          session.query(exp_sqa_class).filter_by(id=exp_id).update(
              {
                  "properties": experiment_with_updated_properties._properties,
              }
          )
  
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 13 for calling a global function with example usage: update_properties_on_experiment(experiment_with_updated_properties, config) without return types