code: def visualize_search_doc(
      doc: stanza.Document,
      semgrex_queries: List[str],
      lang_code: str,
      start_match: int = 0,
      end_match: int = 11,
      render: bool = True,
      visualize_xpos: bool = False,
  ) -> List[str]:
      """
      Visualizes the result of running Semgrex search on a document. The i-th element of
      the returned list is the HTML representation of the i-th sentence's dependency
      relationships. Only shows sentences that have a match on the Semgrex search.
  
      @param doc: A Stanza document object that contains dependency relationships .
      @param semgrex_queries: A list of Semgrex queries to search for in the document.
      @param lang_code: A two letter language abbreviation for the language that the Stanza document is written in.
      @param start_match: Beginning of the splice for which to display elements with.
      @param end_match: End of the splice for which to display elements with.
      @param render: A toggled option to render the HTML strings within the returned list
      @param visualize_xpos: A toggled option to use xpos tags in part-of-speech labels, defaulting to upos tags.
  
      @return: A list of HTML strings representing the dependency relations of the doc object.
      """
  
      matches_count = 0  # Limits number of visualizations
      with Semgrex(classpath="$CLASSPATH") as sem:
          edited_html_strings = []
          semgrex_results = sem.process(doc, *semgrex_queries)
          # one html string for each sentence
          unedited_html_strings = get_sentences_html(
              doc, lang_code, visualize_xpos=visualize_xpos
          )
  
          for i in range(len(unedited_html_strings)):
              if (
                  matches_count >= end_match
              ):  # we've collected enough matches
                  break
  
              # check if sentence has matches, if not then do not visualize
              has_none = True
              for query in semgrex_results.result[i].result:
                  for match in query.match:
                      if match:
                          has_none = False
  
              # Process HTML if queries have matches
              if not has_none:
                  if start_match <= matches_count < end_match:
                      edited_string = semgrexify_html(
                          unedited_html_strings[i],
                          semgrex_results.result[i],
                      )
  
                      edited_string = adjust_dep_arrows(edited_string)
                      edited_html_strings.append(edited_string)
                  matches_count += 1
          if render:
              render_html_strings(edited_html_strings)
      return edited_html_strings
  
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 4 for calling a global function with example usage: visualize_search_doc(doc, semgrex_queries, lang_code, start_match, end_match, render, visualize_xpos) and returns: edited_html_strings