code: def get_tokenized_fables():
      fables = get_fables()
      tokenized_fables = [tokenize(fable) for fable in fables]
      tokenized_fables = torch.stack(
          [
              torch.tensor(tokens)
              for tokens in tokenized_fables
              if len(tokens) == 100
          ]
      )
      return tokenized_fables
  
imports: import urllib.request
  from typing import Any
  import torch
  import torch.utils.data
  from nebullvm.operations.base import Operation
  from torchvision import datasets, transforms
label_desc: Use image node_id 4 for calling a global function with example usage: get_tokenized_fables() and returns: tokenized_fables