code: def iterate_batched(tokenized_text, chunk_length):
      """Chunk text into tokens of length chunk_length."""
      chunks_iterator = batched(tokenized_text, chunk_length)
      yield from chunks_iterator
  
file_path: deepchecks/deepchecks/nlp/utils/text_embeddings.py
imports: import re
  import sys
  import warnings
  from itertools import islice
  from typing import Optional
  import numpy
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: iterate_batched(tokenized_text, chunk_length) without return types