code: def remove_newline_and_detokenize(x, detokenizer, remove_newlines):
      if remove_newlines:
          x = re.sub(r"\\n+", " ", x)
          x = re.sub(r"\n+", " ", x)
          x = re.sub(r"\\r+", " ", x)
          x = re.sub(r"\r+", " ", x)
      x = x.strip()
      # NOTE: Moving the detokenizer inside this condition since sacremoses detokenize seems to remove \n as well.
      if remove_newlines:
          x = detokenizer.detokenize([x])
      return x
  
file_path: NeMo/scripts/nlp_language_modeling/t0/t0_dataset_preproc.py
imports: import json
  import os
  import re
  from argparse import ArgumentParser
  from multiprocessing import Pool
  import tensorflow
  from sacremoses import MosesDetokenizer
  from tasks_splits_and_features import _TASK_SPLITS_AND_FEATURES_DICT
label_desc: Use image node_id 2 for calling a global function with example usage: remove_newline_and_detokenize(x, detokenizer, remove_newlines) and returns: x