code: def main():
      """
      IMPORTANT: For the code in this module to run, you must have corenlp and Java installed on your machine. Additionally,
      set an environment variable CLASSPATH equal to the path of your corenlp directory.
  
      Example: CLASSPATH=C:\\Users\\Alex\\PycharmProjects\\pythonProject\\stanford-corenlp-4.5.0\\stanford-corenlp-4.5.0\\*
      """
      nlp = stanza.Pipeline(
          "en", processors="tokenize,pos,lemma,depparse"
      )
      doc = nlp(
          "Banning opal removed artifact decks from the meta. Banning tennis resulted in players banning people."
      )
      queries = [
          "{pos:NN}=object <obl {}=action",
          "{cpos:NOUN}=thing <obj {cpos:VERB}=action",
      ]
  
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--doc",
          type=stanza.Document,
          default=doc,
          help="Stanza document to process.",
      )
      parser.add_argument(
          "--queries",
          type=List[str],
          default=queries,
          help="Semgrex queries to search for",
      )
      parser.add_argument(
          "--lang_code",
          type=str,
          default="en",
          help="Two letter abbreviation the document's language e.g. 'en' for English",
      )
      parser.add_argument(
          "--CLASSPATH",
          type=str,
          default="C:\\stanford-corenlp-4.5.2\\stanford-corenlp-4.5.2\\*",
          help="Path to your coreNLP directory",
      )
      args = parser.parse_args()
      os.environ["CLASSPATH"] = args.CLASSPATH
      try:
          res = visualize_search_doc(doc, queries, "en")
          print(res[0])  # first sentence's HTML
      except TypeError:
          raise TypeError(
              """For the code in this module to run, you must have corenlp and Java installed on your machine. 
              Once installed, you can pass in the path to your corenlp directory as a command-line argument named 
              "CLASSPATH". Alternatively, set an environment variable CLASSPATH equal to the path of your corenlp 
              directory."""
          )
      return
  
imports: import os
  import argparse
  import stanza
  import sys
  from stanza.server.semgrex import Semgrex
  from stanza.models.common.constant import is_right_to_left
  import spacy
  from spacy import displacy
  from spacy.tokens import Doc
  from IPython.display import display, HTML
  import typing
  from typing import List, Tuple, Any
  from utils import find_nth, round_base
label_desc: Use image node_id 9 for calling a global function with example usage: main() without return types