code: def remove_not_phrases_v2(text):
      # Pattern covers the start of a phrase up to and including 'not' and any following characters until a comma or period
      pattern = r"\s+not[^,.]*[,.]"
      text = re.sub(pattern, "", text)
      pattern = r"\s+no[^,.]*[,.]"
      text = re.sub(pattern, "", text)
      return text
  
file_path: ml-ferret/ferret/eval/eval_lvis.py
imports: import argparse
  import json
  import os
  import re
  import random
  from PIL import Image
  import matplotlib.pyplot
  import matplotlib.patches
  import textwrap
  from tqdm import tqdm
  import pdb
label_desc: Use image node_id 2 for calling a global function with example usage: remove_not_phrases_v2(text) and returns: text