code: def transpose_list(nested_list):
      output = []
      for i, entry in enumerate(nested_list):
          while len(output) < len(entry):
              output.append([None] * len(nested_list))
          for j, x in enumerate(entry):
              output[j][i] = x
      return output
  
imports: from typing import List, Dict, Union, Set
  from pathlib import Path
  import random
  from transformers import AutoModel, AutoTokenizer
  from transformers.tokenization_utils import BatchEncoding
  from transformers.tokenization_utils_fast import PreTrainedTokenizerFast
  import catalogue
  from spacy.util import registry
  from thinc.api import get_torch_default_device
  import torch.cuda
  import tempfile
  import shutil
  import contextlib
  import warnings
label_desc: Use image node_id 4 for calling a global function with example usage: transpose_list(nested_list) and returns: output