code: def test_symbols_multilingual():
      test_cases = [
          ("I have 14% battery", "I have 14 percent battery", "en"),
          ("Te veo @ la fiesta", "Te veo arroba la fiesta", "es"),
          ("J'ai 14° de fièvre", "J'ai 14 degrés de fièvre", "fr"),
          (
              "Die Rechnung beträgt £ 20",
              "Die Rechnung beträgt pfund 20",
              "de",
          ),
          (
              "O meu email é ana&joao@gmail.com",
              "O meu email é ana e joao arroba gmail.com",
              "pt",
          ),
          (
              "linguaggio di programmazione C#",
              "linguaggio di programmazione C cancelletto",
              "it",
          ),
          (
              "Moja temperatura to 36.6°",
              "Moja temperatura to 36.6 stopnie",
              "pl",
          ),
          ("Mám 14% baterie", "Mám 14 procento baterie", "cs"),
          (
              "Těším se na tebe @ party",
              "Těším se na tebe na party",
              "cs",
          ),
          ("У меня 14% заряда", "У меня 14 процентов заряда", "ru"),
          ("Я буду @ дома", "Я буду собака дома", "ru"),
          ("Ik heb 14% batterij", "Ik heb 14 procent batterij", "nl"),
          ("Ik zie je @ het feest", "Ik zie je bij het feest", "nl"),
          ("لدي 14% في البطارية", "لدي 14 في المئة في البطارية", "ar"),
          ("我的电量为 14%", "我的电量为 14 百分之", "zh"),
          ("Pilim %14 dolu.", "Pilim yüzde 14 dolu.", "tr"),
          (
              "Az akkumulátorom töltöttsége 14%",
              "Az akkumulátorom töltöttsége 14 százalék",
              "hu",
          ),
          ("배터리 잔량이 14%입니다.", "배터리 잔량이 14 퍼센트입니다.", "ko"),
      ]
  
      for a, b, lang in test_cases:
          out = expand_symbols_multilingual(a, lang=lang)
          assert out == b, f"'{out}' vs '{b}'"
  
imports: import os
  import re
  import textwrap
  from functools import cached_property
  import pypinyin
  import torch
  from hangul_romanize import Transliter
  from hangul_romanize.rule import academic
  from num2words import num2words
  from spacy.lang.ar import Arabic
  from spacy.lang.en import English
  from spacy.lang.es import Spanish
  from spacy.lang.ja import Japanese
  from spacy.lang.zh import Chinese
  from tokenizers import Tokenizer
  from TTS.tts.layers.xtts.zh_num2words import TextNorm
label_desc: Use image node_id 21 for calling a global function with example usage: test_symbols_multilingual() without return types