code: def evaluate(
      self,
      scenario_state: ScenarioState,
      metric_service: MetricService,
      eval_cache_path: str,
      parallelism: int,
  ) -> MetricResult:
      # Running with parallelism > 1 causes the run to get stuck.
      hlog(
          f"Setting parallelism from {parallelism} to 1, since evaluating code with parallelism > 1 isn't supported."
      )
      return super().evaluate(
          scenario_state, metric_service, eval_cache_path, parallelism=1
      )
  
imports: import threading
  import multiprocessing
  from typing import List, Union, Sequence, cast
  from helm.common.hierarchical_logger import hlog
  from helm.common.request import RequestResult
  from helm.benchmark.adaptation.scenario_state import ScenarioState
  from helm.benchmark.adaptation.request_state import RequestState
  from helm.benchmark.adaptation.adapter_spec import AdapterSpec
  from helm.benchmark.scenarios.code_scenario import CodeReference
  from .None import code_metrics_helper
  from .metric import Metric, MetricResult
  from .metric_service import MetricService
  from .metric_name import MetricName
  from .statistic import Stat
label_desc: Use image node_id 2 for calling the APPSMetric obj's underlying member method code with example usage: obj.evaluate(scenario_state, metric_service, eval_cache_path, parallelism) and returns: super