code: def run(self):
      while not self.stop.wait(self.report_interval):
          pool_batch_stats = defaultdict(list)
          while not self.stats_queue.empty():
              pool_uid, batch_stats = self.stats_queue.get()
              pool_batch_stats[pool_uid].append(batch_stats)
  
          total_processed_batches = sum(
              len(pool_stats)
              for pool_stats in pool_batch_stats.values()
          )
          logger.info(
              f"Processed {total_processed_batches} batches in last {self.report_interval} seconds:"
          )
          for pool_uid, pool_stats in pool_batch_stats.items():
              total_batches = len(pool_stats)
              total_examples = sum(
                  batch_stats.batch_size for batch_stats in pool_stats
              )
              avg_batch_size = mean(
                  batch_stats.batch_size for batch_stats in pool_stats
              )
              total_time = sum(
                  batch_stats.processing_time
                  for batch_stats in pool_stats
              )
              batches_to_time = total_batches / total_time
              batch_performance = f"{batches_to_time:.2f} " + (
                  "batches/s" if batches_to_time > 1 else "s/batch"
              )
  
              examples_to_time = total_examples / total_time
              example_performance = f"{examples_to_time:.2f} " + (
                  "examples/s" if examples_to_time > 1 else "s/example"
              )
  
              logger.info(
                  f"{pool_uid}: "
                  f"{total_batches} batches ({batch_performance}), "
                  f"{total_examples} examples ({example_performance}), "
                  f"avg batch size {avg_batch_size:.2f}"
              )
  
imports: import multiprocessing
  import multiprocessing.pool
  import threading
  from collections import defaultdict
  from itertools import chain
  from queue import SimpleQueue
  from selectors import EVENT_READ, DefaultSelector
  from statistics import mean
  from time import perf_counter
  from typing import Any, Dict, NamedTuple, Optional, Tuple
  import torch
  from prefetch_generator import BackgroundGenerator
  from hivemind.moe.server.module_backend import ModuleBackend
  from hivemind.moe.server.task_pool import TaskPoolBase
  from hivemind.utils import get_logger
label_desc: Use image node_id 2 for calling the StatsReporter obj's underlying member method code with example usage: obj.run() without return types