code: def read_lines_from_iterator(
      data_path, offsets, begin_line, num_lines
  ):
      with open(data_path) as f:
          f.seek(offsets[begin_line])
          for _ in range(num_lines):
              yield f.readline()
  
file_path: pytext/pytext/legacy/datasets/unsupervised_learning.py
imports: import os
  import torch
  from torchtext.data.functional import custom_replace, simple_space_split
  from torchtext.utils import download_from_url, extract_archive
  from ..vocab import build_vocab_from_iterator
label_desc: Use image node_id 2 for calling a global function with example usage: read_lines_from_iterator(data_path, offsets, begin_line, num_lines) without return types