code: def read_batch(fh, batch_size):
      """
      Reads a batch (or smaller) chunk of lines.
      """
      lines = []
      for i in range(batch_size):
          l = fh.readline()
          if not l:
              break
          else:
              lines.append(l.strip())
  
      return lines
  
file_path: NeMo/scripts/neural_machine_translation/collect_tokenizer_dataset_stats.py
imports: import argparse
  import json
  import multiprocessing
  import os
  import numpy
  from matplotlib import pyplot
  from nemo.collections.nlp.modules.common.tokenizer_utils import get_nmt_tokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: read_batch(fh, batch_size) and returns: lines