code: def default_evaluator() -> EvaluationPlugin:
      return EvaluationPlugin(
          accuracy_metrics(
              minibatch=False, epoch=True, experience=True, stream=True
          ),
          loss_metrics(
              minibatch=False, epoch=True, experience=True, stream=True
          ),
          loggers=default_loggers,
      )
  
imports: import warnings
  from copy import copy
  from collections import defaultdict
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence, TYPE_CHECKING
  from avalanche.distributed.distributed_helper import DistributedHelper
  from avalanche.evaluation.metric_results import MetricValue
  from avalanche.evaluation.metrics import accuracy_metrics, loss_metrics
  from avalanche.logging import InteractiveLogger
label_desc: Use image node_id 3 for calling a global function with example usage: default_evaluator() and returns: EvaluationPlugin