class_docstr: An error raised when a worker fails.
class_docstr_tok: ["An","error","raised","when","a","worker","fails","."]
code: def __init__(
      self, original_err_repr: str, traceback: List[str]
  ) -> None:
      super().__init__(
          f"worker raised {original_err_repr}\n\n"
          "  Traceback from worker:\n  " + "".join(traceback)
          # Remove the first line of the traceback since it's redundant.
          .replace("Traceback (most recent call last):\n", "")
          # Give a little indentation so it's clear this traceback is separate from the traceback
          # in the main process.
          .replace("\n", "\n  ")
      )
  
imports: from collections import deque
  import logging
  from multiprocessing.process import BaseProcess
  from multiprocessing.connection import Connection
  import random
  import traceback
  import select
  from queue import Full
  from typing import List, Iterator, Optional, Iterable, Union, TypeVar, Tuple, Any
  import torch
  import torch.multiprocessing
  from allennlp.common.util import lazy_groups_of, shuffle_iterable
  from allennlp.common.tqdm import Tqdm
  from allennlp.data.instance import Instance
  from allennlp.data.data_loaders.data_loader import DataLoader, TensorDict
  from allennlp.data.data_loaders.data_collator import DataCollator, DefaultDataCollator
  from allennlp.data.dataset_readers import DatasetReader, WorkerInfo, DatasetReaderInput
  from allennlp.data.fields import TextField
  from allennlp.data.samplers import BatchSampler
  from allennlp.data.vocabulary import Vocabulary
  import allennlp.nn.util
label_desc: Use image node_id 1 to create a new WorkerError object from inherited base classes: Exception with example: obj = WorkerError(original_err_repr, traceback)