code: def __init__(self, increment, max_length, sentences_per_batch):
      self.increment = increment
      self.n_buckets = max_length // increment + 1
      self.sentences_per_batch = sentences_per_batch
      self.reset()
  
imports: import argparse
  import ast
  import os
  import signal
  import threading
  import time
  from typing import Dict, List, Optional, Union
  import torch
  from fairseq import distributed_utils, tasks, utils
  from pytorch_translate.file_io import PathManager
label_desc: Use image node_id 1 to create a new BucketStopwatchMeter object from inherited base classes: object with example: obj = BucketStopwatchMeter(increment, max_length, sentences_per_batch)