code: def remove_stopwords(text: str) -> str:
      """Remove stop words from a string."""
      if nltk.download("stopwords", quiet=True):
          stop_words = set(stopwords.words("english"))
      else:
          warnings.warn(
              "nltk stopwords not found, stopwords won't be ignored when considering text duplicates."
              " Please check your internet connection."
          )
          return text
      if nltk.download("punkt", quiet=True):
          tokenize = word_tokenize
      else:
          tokenize = str.split
      words = tokenize(text)
      return " ".join(
          [word for word in words if word.lower() not in stop_words]
      )
  
file_path: deepchecks/deepchecks/nlp/utils/text.py
imports: import re
  import string
  import typing
  import unicodedata
  import warnings
  import nltk
  from nltk.corpus import stopwords
  from nltk.tokenize import word_tokenize
label_desc: Use image node_id 4 for calling a global function with example usage: remove_stopwords(text) and returns: str, text