code: def process_text(
      text,
      nlp_pipeline,
      return_lemma=False,
      filter_numbers=False,
      filter_punctuation=False,
      filter_short_tokens=False,
      filter_stopwords=False,
  ):
      doc = nlp_pipeline(text)
      return [
          token.lemma_ if return_lemma else token.text
          for token in doc
          if pass_filters(
              token,
              filter_numbers,
              filter_punctuation,
              filter_short_tokens,
              filter_stopwords,
          )
      ]
  
imports: import logging
  import sys
label_desc: Use image node_id 3 for calling a global function with example usage: process_text(text, nlp_pipeline, return_lemma, filter_numbers, filter_punctuation, filter_short_tokens, filter_stopwords) and returns: unknown