code: def __init__(self, logger_: logging.Logger, bucket: Bucket) -> None:
      super().__init__(logger_, extra={"bucket": bucket})
  
imports: import logging
  import multiprocessing
  import multiprocessing.pool
  import os
  import os.path
  import sys
  from collections import defaultdict
  from functools import partial
  from typing import Any, Callable, Dict, Iterable, List, Mapping, MutableMapping, Optional, Set, Tuple, TypeVar, Union
  import torch
  import torch.multiprocessing
  from torch.optim import Optimizer
  from torchbiggraph.config import ConfigSchema
  from torchbiggraph.types import Bucket, EntityName, FloatTensorType, Partition, Side
label_desc: Use image node_id 1 to create a new BucketLogger object from inherited base classes: logging with example: obj = BucketLogger(logger_, bucket)