models/lyrics_utils/lyric_tokenizer.py

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 .zh_num2words import TextNorm as zh_num2words
from typing import Dict, List, Optional, Set, Union


#copy from https://github.com/coqui-ai/TTS/blob/dbf1a08a0d4e47fdad6172e433eeb34bc6b13b4e/TTS/tts/layers/xtts/tokenizer.py
def get_spacy_lang(lang):
    if lang == "zh":
        return Chinese()
    elif lang == "ja":
        return Japanese()
    elif lang == "ar":
        return Arabic()
    elif lang == "es":
        return Spanish()
    else:
        # For most languages, Enlish does the job
        return English()


def split_sentence(text, lang, text_split_length=250):
    """Preprocess the input text"""
    text_splits = []
    if text_split_length is not None and len(text) >= text_split_length:
        text_splits.append("")
        nlp = get_spacy_lang(lang)
        nlp.add_pipe("sentencizer")
        doc = nlp(text)
        for sentence in doc.sents:
            if len(text_splits[-1]) + len(str(sentence)) <= text_split_length:
                # if the last sentence + the current sentence is less than the text_split_length
                # then add the current sentence to the last sentence
                text_splits[-1] += " " + str(sentence)
                text_splits[-1] = text_splits[-1].lstrip()
            elif len(str(sentence)) > text_split_length:
                # if the current sentence is greater than the text_split_length
                for line in textwrap.wrap(
                    str(sentence),
                    width=text_split_length,
                    drop_whitespace=True,
                    break_on_hyphens=False,
                    tabsize=1,
                ):
                    text_splits.append(str(line))
            else:
                text_splits.append(str(sentence))

        if len(text_splits) > 1:
            if text_splits[0] == "":
                del text_splits[0]
    else:
        text_splits = [text.lstrip()]

    return text_splits


_whitespace_re = re.compile(r"\s+")

# List of (regular expression, replacement) pairs for abbreviations:
_abbreviations = {
    "en": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("mrs", "misess"),
            ("mr", "mister"),
            ("dr", "doctor"),
            ("st", "saint"),
            ("co", "company"),
            ("jr", "junior"),
            ("maj", "major"),
            ("gen", "general"),
            ("drs", "doctors"),
            ("rev", "reverend"),
            ("lt", "lieutenant"),
            ("hon", "honorable"),
            ("sgt", "sergeant"),
            ("capt", "captain"),
            ("esq", "esquire"),
            ("ltd", "limited"),
            ("col", "colonel"),
            ("ft", "fort"),
        ]
    ],
    "es": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("sra", "señora"),
            ("sr", "señor"),
            ("dr", "doctor"),
            ("dra", "doctora"),
            ("st", "santo"),
            ("co", "compañía"),
            ("jr", "junior"),
            ("ltd", "limitada"),
        ]
    ],
    "fr": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("mme", "madame"),
            ("mr", "monsieur"),
            ("dr", "docteur"),
            ("st", "saint"),
            ("co", "compagnie"),
            ("jr", "junior"),
            ("ltd", "limitée"),
        ]
    ],
    "de": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("fr", "frau"),
            ("dr", "doktor"),
            ("st", "sankt"),
            ("co", "firma"),
            ("jr", "junior"),
        ]
    ],
    "pt": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("sra", "senhora"),
            ("sr", "senhor"),
            ("dr", "doutor"),
            ("dra", "doutora"),
            ("st", "santo"),
            ("co", "companhia"),
            ("jr", "júnior"),
            ("ltd", "limitada"),
        ]
    ],
    "it": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            # ("sig.ra", "signora"),
            ("sig", "signore"),
            ("dr", "dottore"),
            ("st", "santo"),
            ("co", "compagnia"),
            ("jr", "junior"),
            ("ltd", "limitata"),
        ]
    ],
    "pl": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("p", "pani"),
            ("m", "pan"),
            ("dr", "doktor"),
            ("sw", "święty"),
            ("jr", "junior"),
        ]
    ],
    "ar": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            # There are not many common abbreviations in Arabic as in English.
        ]
    ],
    "zh": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            # Chinese doesn't typically use abbreviations in the same way as Latin-based scripts.
        ]
    ],
    "cs": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("dr", "doktor"),  # doctor
            ("ing", "inženýr"),  # engineer
            ("p", "pan"),  # Could also map to pani for woman but no easy way to do it
            # Other abbreviations would be specialized and not as common.
        ]
    ],
    "ru": [
        (re.compile("\\b%s\\b" % x[0], re.IGNORECASE), x[1])
        for x in [
            ("г-жа", "госпожа"),  # Mrs.
            ("г-н", "господин"),  # Mr.
            ("д-р", "доктор"),  # doctor
            # Other abbreviations are less common or specialized.
        ]
    ],
    "nl": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("dhr", "de heer"),  # Mr.
            ("mevr", "mevrouw"),  # Mrs.
            ("dr", "dokter"),  # doctor
            ("jhr", "jonkheer"),  # young lord or nobleman
            # Dutch uses more abbreviations, but these are the most common ones.
        ]
    ],
    "tr": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("b", "bay"),  # Mr.
            ("byk", "büyük"),  # büyük
            ("dr", "doktor"),  # doctor
            # Add other Turkish abbreviations here if needed.
        ]
    ],
    "hu": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            ("dr", "doktor"),  # doctor
            ("b", "bácsi"),  # Mr.
            ("nőv", "nővér"),  # nurse
            # Add other Hungarian abbreviations here if needed.
        ]
    ],
    "ko": [
        (re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
        for x in [
            # Korean doesn't typically use abbreviations in the same way as Latin-based scripts.
        ]
    ],
}


def expand_abbreviations_multilingual(text, lang="en"):
    for regex, replacement in _abbreviations[lang]:
        text = re.sub(regex, replacement, text)
    return text


_symbols_multilingual = {
    "en": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " and "),
            ("@", " at "),
            ("%", " percent "),
            ("#", " hash "),
            ("$", " dollar "),
            ("£", " pound "),
            ("°", " degree "),
        ]
    ],
    "es": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " y "),
            ("@", " arroba "),
            ("%", " por ciento "),
            ("#", " numeral "),
            ("$", " dolar "),
            ("£", " libra "),
            ("°", " grados "),
        ]
    ],
    "fr": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " et "),
            ("@", " arobase "),
            ("%", " pour cent "),
            ("#", " dièse "),
            ("$", " dollar "),
            ("£", " livre "),
            ("°", " degrés "),
        ]
    ],
    "de": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " und "),
            ("@", " at "),
            ("%", " prozent "),
            ("#", " raute "),
            ("$", " dollar "),
            ("£", " pfund "),
            ("°", " grad "),
        ]
    ],
    "pt": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " e "),
            ("@", " arroba "),
            ("%", " por cento "),
            ("#", " cardinal "),
            ("$", " dólar "),
            ("£", " libra "),
            ("°", " graus "),
        ]
    ],
    "it": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " e "),
            ("@", " chiocciola "),
            ("%", " per cento "),
            ("#", " cancelletto "),
            ("$", " dollaro "),
            ("£", " sterlina "),
            ("°", " gradi "),
        ]
    ],
    "pl": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " i "),
            ("@", " małpa "),
            ("%", " procent "),
            ("#", " krzyżyk "),
            ("$", " dolar "),
            ("£", " funt "),
            ("°", " stopnie "),
        ]
    ],
    "ar": [
        # Arabic
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " و "),
            ("@", " على "),
            ("%", " في المئة "),
            ("#", " رقم "),
            ("$", " دولار "),
            ("£", " جنيه "),
            ("°", " درجة "),
        ]
    ],
    "zh": [
        # Chinese
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " 和 "),
            ("@", " 在 "),
            ("%", " 百分之 "),
            ("#", " 号 "),
            ("$", " 美元 "),
            ("£", " 英镑 "),
            ("°", " 度 "),
        ]
    ],
    "cs": [
        # Czech
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " a "),
            ("@", " na "),
            ("%", " procento "),
            ("#", " křížek "),
            ("$", " dolar "),
            ("£", " libra "),
            ("°", " stupně "),
        ]
    ],
    "ru": [
        # Russian
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " и "),
            ("@", " собака "),
            ("%", " процентов "),
            ("#", " номер "),
            ("$", " доллар "),
            ("£", " фунт "),
            ("°", " градус "),
        ]
    ],
    "nl": [
        # Dutch
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " en "),
            ("@", " bij "),
            ("%", " procent "),
            ("#", " hekje "),
            ("$", " dollar "),
            ("£", " pond "),
            ("°", " graden "),
        ]
    ],
    "tr": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " ve "),
            ("@", " at "),
            ("%", " yüzde "),
            ("#", " diyez "),
            ("$", " dolar "),
            ("£", " sterlin "),
            ("°", " derece "),
        ]
    ],
    "hu": [
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " és "),
            ("@", " kukac "),
            ("%", " százalék "),
            ("#", " kettőskereszt "),
            ("$", " dollár "),
            ("£", " font "),
            ("°", " fok "),
        ]
    ],
    "ko": [
        # Korean
        (re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
        for x in [
            ("&", " 그리고 "),
            ("@", " 에 "),
            ("%", " 퍼센트 "),
            ("#", " 번호 "),
            ("$", " 달러 "),
            ("£", " 파운드 "),
            ("°", " 도 "),
        ]
    ],
}


def expand_symbols_multilingual(text, lang="en"):
    for regex, replacement in _symbols_multilingual[lang]:
        text = re.sub(regex, replacement, text)
        text = text.replace("  ", " ")  # Ensure there are no double spaces
    return text.strip()


_ordinal_re = {
    "en": re.compile(r"([0-9]+)(st|nd|rd|th)"),
    "es": re.compile(r"([0-9]+)(º|ª|er|o|a|os|as)"),
    "fr": re.compile(r"([0-9]+)(º|ª|er|re|e|ème)"),
    "de": re.compile(r"([0-9]+)(st|nd|rd|th|º|ª|\.(?=\s|$))"),
    "pt": re.compile(r"([0-9]+)(º|ª|o|a|os|as)"),
    "it": re.compile(r"([0-9]+)(º|°|ª|o|a|i|e)"),
    "pl": re.compile(r"([0-9]+)(º|ª|st|nd|rd|th)"),
    "ar": re.compile(r"([0-9]+)(ون|ين|ث|ر|ى)"),
    "cs": re.compile(r"([0-9]+)\.(?=\s|$)"),  # In Czech, a dot is often used after the number to indicate ordinals.
    "ru": re.compile(r"([0-9]+)(-й|-я|-е|-ое|-ье|-го)"),
    "nl": re.compile(r"([0-9]+)(de|ste|e)"),
    "tr": re.compile(r"([0-9]+)(\.|inci|nci|uncu|üncü|\.)"),
    "hu": re.compile(r"([0-9]+)(\.|adik|edik|odik|edik|ödik|ödike|ik)"),
    "ko": re.compile(r"([0-9]+)(번째|번|차|째)"),
}
_number_re = re.compile(r"[0-9]+")
_currency_re = {
    "USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"),
    "GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"),
    "EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"),
}

_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b")
_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b")
_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)")


def _remove_commas(m):
    text = m.group(0)
    if "," in text:
        text = text.replace(",", "")
    return text


def _remove_dots(m):
    text = m.group(0)
    if "." in text:
        text = text.replace(".", "")
    return text


def _expand_decimal_point(m, lang="en"):
    amount = m.group(1).replace(",", ".")
    return num2words(float(amount), lang=lang if lang != "cs" else "cz")


def _expand_currency(m, lang="en", currency="USD"):
    amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", "."))))
    full_amount = num2words(amount, to="currency", currency=currency, lang=lang if lang != "cs" else "cz")

    and_equivalents = {
        "en": ", ",
        "es": " con ",
        "fr": " et ",
        "de": " und ",
        "pt": " e ",
        "it": " e ",
        "pl": ", ",
        "cs": ", ",
        "ru": ", ",
        "nl": ", ",
        "ar": ", ",
        "tr": ", ",
        "hu": ", ",
        "ko": ", ",
    }

    if amount.is_integer():
        last_and = full_amount.rfind(and_equivalents[lang])
        if last_and != -1:
            full_amount = full_amount[:last_and]

    return full_amount


def _expand_ordinal(m, lang="en"):
    return num2words(int(m.group(1)), ordinal=True, lang=lang if lang != "cs" else "cz")


def _expand_number(m, lang="en"):
    return num2words(int(m.group(0)), lang=lang if lang != "cs" else "cz")


def expand_numbers_multilingual(text, lang="en"):
    if lang == "zh":
        text = zh_num2words()(text)
    else:
        if lang in ["en", "ru"]:
            text = re.sub(_comma_number_re, _remove_commas, text)
        else:
            text = re.sub(_dot_number_re, _remove_dots, text)
        try:
            text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text)
            text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text)
            text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text)
        except:
            pass
        if lang != "tr":
            text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text)
        text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text)
        text = re.sub(_number_re, lambda m: _expand_number(m, lang), text)
    return text


def lowercase(text):
    return text.lower()


def collapse_whitespace(text):
    return re.sub(_whitespace_re, " ", text)


def multilingual_cleaners(text, lang):
    text = text.replace('"', "")
    if lang == "tr":
        text = text.replace("İ", "i")
        text = text.replace("Ö", "ö")
        text = text.replace("Ü", "ü")
    text = lowercase(text)
    try:
        text = expand_numbers_multilingual(text, lang)
    except:
        pass
    try:
        text = expand_abbreviations_multilingual(text, lang)
    except:
        pass
    try:
        text = expand_symbols_multilingual(text, lang=lang)
    except:
        pass
    text = collapse_whitespace(text)
    return text


def basic_cleaners(text):
    """Basic pipeline that lowercases and collapses whitespace without transliteration."""
    text = lowercase(text)
    text = collapse_whitespace(text)
    return text


def chinese_transliterate(text):
    return "".join(
        [p[0] for p in pypinyin.pinyin(text, style=pypinyin.Style.TONE3, heteronym=False, neutral_tone_with_five=True)]
    )


def japanese_cleaners(text, katsu):
    text = katsu.romaji(text)
    text = lowercase(text)
    return text


def korean_transliterate(text):
    r = Transliter(academic)
    return r.translit(text)


DEFAULT_VOCAB_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "vocab.json")


class VoiceBpeTokenizer:
    def __init__(self, vocab_file=DEFAULT_VOCAB_FILE):
        self.tokenizer = None
        if vocab_file is not None:
            self.tokenizer = Tokenizer.from_file(vocab_file)
        self.char_limits = {
            "en": 10000,
            "de": 253,
            "fr": 273,
            "es": 239,
            "it": 213,
            "pt": 203,
            "pl": 224,
            "zh": 82,
            "ar": 166,
            "cs": 186,
            "ru": 182,
            "nl": 251,
            "tr": 226,
            "ja": 71,
            "hu": 224,
            "ko": 95,
        }

    @cached_property
    def katsu(self):
        import cutlet

        return cutlet.Cutlet()

    def check_input_length(self, txt, lang):
        lang = lang.split("-")[0]  # remove the region
        limit = self.char_limits.get(lang, 250)
        # if len(txt) > limit:
        #     print(
        #         f"[!] Warning: The text length exceeds the character limit of {limit} for language '{lang}', this might cause truncated audio."
        #     )

    def preprocess_text(self, txt, lang):
        if lang in {"ar", "cs", "de", "en", "es", "fr", "hu", "it", "nl", "pl", "pt", "ru", "tr", "zh", "ko"}:
            txt = multilingual_cleaners(txt, lang)
            if lang == "zh":
                txt = chinese_transliterate(txt)
            if lang == "ko":
                txt = korean_transliterate(txt)
        elif lang == "ja":
            txt = japanese_cleaners(txt, self.katsu)
        elif lang == "hi":
            # @manmay will implement this
            txt = basic_cleaners(txt)
        else:
            raise NotImplementedError(f"Language '{lang}' is not supported.")
        return txt
    
    def encode(self, txt, lang):
        lang = lang.split("-")[0]  # remove the region
        self.check_input_length(txt, lang)
        txt = self.preprocess_text(txt, lang)
        lang = "zh-cn" if lang == "zh" else lang
        txt = f"[{lang}]{txt}"
        txt = txt.replace(" ", "[SPACE]")
        return self.tokenizer.encode(txt).ids

    def decode(self, seq, skip_special_tokens=False):
        if isinstance(seq, torch.Tensor):
            seq = seq.cpu().numpy()
        txt = self.tokenizer.decode(seq, skip_special_tokens=False).replace(" ", "")
        txt = txt.replace("[SPACE]", " ")
        txt = txt.replace("[STOP]", "")
        # txt = txt.replace("[UNK]", "")
        return txt
    

    #copy from https://github.com/huggingface/transformers/blob/main/src/transformers/tokenization_utils_base.py#L3936
    def batch_decode(
        self,
        sequences: Union[List[int], List[List[int]], "np.ndarray", "torch.Tensor", "tf.Tensor"],
        skip_special_tokens: bool = False,
    ) -> List[str]:
        """
        Convert a list of lists of token ids into a list of strings by calling decode.

        Args:
            sequences (`Union[List[int], List[List[int]], np.ndarray, torch.Tensor, tf.Tensor]`):
                List of tokenized input ids. Can be obtained using the `__call__` method.
            skip_special_tokens (`bool`, *optional*, defaults to `False`):
                Whether or not to remove special tokens in the decoding.
            kwargs (additional keyword arguments, *optional*):
                Will be passed to the underlying model specific decode method.

        Returns:
            `List[str]`: The list of decoded sentences.
        """
        return [
            self.decode(seq)
            for seq in sequences
        ]
    
    #https://github.com/coqui-ai/TTS/blob/dev/TTS/tts/layers/xtts/trainer/dataset.py#L202
    # def pad(self): 

    def __len__(self):
        return self.tokenizer.get_vocab_size()

    def get_number_tokens(self):
        return max(self.tokenizer.get_vocab().values()) + 1


def test_expand_numbers_multilingual():
    test_cases = [
        # English
        ("In 12.5 seconds.", "In twelve point five seconds.", "en"),
        ("There were 50 soldiers.", "There were fifty soldiers.", "en"),
        ("This is a 1st test", "This is a first test", "en"),
        ("That will be $20 sir.", "That will be twenty dollars sir.", "en"),
        ("That will be 20€ sir.", "That will be twenty euro sir.", "en"),
        ("That will be 20.15€ sir.", "That will be twenty euro, fifteen cents sir.", "en"),
        ("That's 100,000.5.", "That's one hundred thousand point five.", "en"),
        # French
        ("En 12,5 secondes.", "En douze virgule cinq secondes.", "fr"),
        ("Il y avait 50 soldats.", "Il y avait cinquante soldats.", "fr"),
        ("Ceci est un 1er test", "Ceci est un premier test", "fr"),
        ("Cela vous fera $20 monsieur.", "Cela vous fera vingt dollars monsieur.", "fr"),
        ("Cela vous fera 20€ monsieur.", "Cela vous fera vingt euros monsieur.", "fr"),
        ("Cela vous fera 20,15€ monsieur.", "Cela vous fera vingt euros et quinze centimes monsieur.", "fr"),
        ("Ce sera 100.000,5.", "Ce sera cent mille virgule cinq.", "fr"),
        # German
        ("In 12,5 Sekunden.", "In zwölf Komma fünf Sekunden.", "de"),
        ("Es gab 50 Soldaten.", "Es gab fünfzig Soldaten.", "de"),
        ("Dies ist ein 1. Test", "Dies ist ein erste Test", "de"),  # Issue with gender
        ("Das macht $20 Herr.", "Das macht zwanzig Dollar Herr.", "de"),
        ("Das macht 20€ Herr.", "Das macht zwanzig Euro Herr.", "de"),
        ("Das macht 20,15€ Herr.", "Das macht zwanzig Euro und fünfzehn Cent Herr.", "de"),
        # Spanish
        ("En 12,5 segundos.", "En doce punto cinco segundos.", "es"),
        ("Había 50 soldados.", "Había cincuenta soldados.", "es"),
        ("Este es un 1er test", "Este es un primero test", "es"),
        ("Eso le costará $20 señor.", "Eso le costará veinte dólares señor.", "es"),
        ("Eso le costará 20€ señor.", "Eso le costará veinte euros señor.", "es"),
        ("Eso le costará 20,15€ señor.", "Eso le costará veinte euros con quince céntimos señor.", "es"),
        # Italian
        ("In 12,5 secondi.", "In dodici virgola cinque secondi.", "it"),
        ("C'erano 50 soldati.", "C'erano cinquanta soldati.", "it"),
        ("Questo è un 1° test", "Questo è un primo test", "it"),
        ("Ti costerà $20 signore.", "Ti costerà venti dollari signore.", "it"),
        ("Ti costerà 20€ signore.", "Ti costerà venti euro signore.", "it"),
        ("Ti costerà 20,15€ signore.", "Ti costerà venti euro e quindici centesimi signore.", "it"),
        # Portuguese
        ("Em 12,5 segundos.", "Em doze vírgula cinco segundos.", "pt"),
        ("Havia 50 soldados.", "Havia cinquenta soldados.", "pt"),
        ("Este é um 1º teste", "Este é um primeiro teste", "pt"),
        ("Isso custará $20 senhor.", "Isso custará vinte dólares senhor.", "pt"),
        ("Isso custará 20€ senhor.", "Isso custará vinte euros senhor.", "pt"),
        (
            "Isso custará 20,15€ senhor.",
            "Isso custará vinte euros e quinze cêntimos senhor.",
            "pt",
        ),  # "cêntimos" should be "centavos" num2words issue
        # Polish
        ("W 12,5 sekundy.", "W dwanaście przecinek pięć sekundy.", "pl"),
        ("Było 50 żołnierzy.", "Było pięćdziesiąt żołnierzy.", "pl"),
        ("To będzie kosztować 20€ panie.", "To będzie kosztować dwadzieścia euro panie.", "pl"),
        ("To będzie kosztować 20,15€ panie.", "To będzie kosztować dwadzieścia euro, piętnaście centów panie.", "pl"),
        # Arabic
        ("في الـ 12,5 ثانية.", "في الـ اثنا عشر  , خمسون ثانية.", "ar"),
        ("كان هناك 50 جنديًا.", "كان هناك خمسون جنديًا.", "ar"),
        # ("ستكون النتيجة $20 يا سيد.", 'ستكون النتيجة عشرون دولار يا سيد.', 'ar'), # $ and € are mising from num2words
        # ("ستكون النتيجة 20€ يا سيد.", 'ستكون النتيجة عشرون يورو يا سيد.', 'ar'),
        # Czech
        ("Za 12,5 vteřiny.", "Za dvanáct celá pět vteřiny.", "cs"),
        ("Bylo tam 50 vojáků.", "Bylo tam padesát vojáků.", "cs"),
        ("To bude stát 20€ pane.", "To bude stát dvacet euro pane.", "cs"),
        ("To bude 20.15€ pane.", "To bude dvacet euro, patnáct centů pane.", "cs"),
        # Russian
        ("Через 12.5 секунды.", "Через двенадцать запятая пять секунды.", "ru"),
        ("Там было 50 солдат.", "Там было пятьдесят солдат.", "ru"),
        ("Это будет 20.15€ сэр.", "Это будет двадцать евро, пятнадцать центов сэр.", "ru"),
        ("Это будет стоить 20€ господин.", "Это будет стоить двадцать евро господин.", "ru"),
        # Dutch
        ("In 12,5 seconden.", "In twaalf komma vijf seconden.", "nl"),
        ("Er waren 50 soldaten.", "Er waren vijftig soldaten.", "nl"),
        ("Dat wordt dan $20 meneer.", "Dat wordt dan twintig dollar meneer.", "nl"),
        ("Dat wordt dan 20€ meneer.", "Dat wordt dan twintig euro meneer.", "nl"),
        # Chinese (Simplified)
        ("在12.5秒内", "在十二点五秒内", "zh"),
        ("有50名士兵", "有五十名士兵", "zh"),
        # ("那将是$20先生", '那将是二十美元先生', 'zh'), currency doesn't work
        # ("那将是20€先生", '那将是二十欧元先生', 'zh'),
        # Turkish
        # ("12,5 saniye içinde.", 'On iki virgül beş saniye içinde.', 'tr'), # decimal doesn't work for TR
        ("50 asker vardı.", "elli asker vardı.", "tr"),
        ("Bu 1. test", "Bu birinci test", "tr"),
        # ("Bu 100.000,5.", 'Bu yüz bin virgül beş.', 'tr'),
        # Hungarian
        ("12,5 másodperc alatt.", "tizenkettő egész öt tized másodperc alatt.", "hu"),
        ("50 katona volt.", "ötven katona volt.", "hu"),
        ("Ez az 1. teszt", "Ez az első teszt", "hu"),
        # Korean
        ("12.5 초 안에.", "십이 점 다섯 초 안에.", "ko"),
        ("50 명의 병사가 있었다.", "오십 명의 병사가 있었다.", "ko"),
        ("이것은 1 번째 테스트입니다", "이것은 첫 번째 테스트입니다", "ko"),
    ]
    for a, b, lang in test_cases:
        out = expand_numbers_multilingual(a, lang=lang)
        assert out == b, f"'{out}' vs '{b}'"


def test_abbreviations_multilingual():
    test_cases = [
        # English
        ("Hello Mr. Smith.", "Hello mister Smith.", "en"),
        ("Dr. Jones is here.", "doctor Jones is here.", "en"),
        # Spanish
        ("Hola Sr. Garcia.", "Hola señor Garcia.", "es"),
        ("La Dra. Martinez es muy buena.", "La doctora Martinez es muy buena.", "es"),
        # French
        ("Bonjour Mr. Dupond.", "Bonjour monsieur Dupond.", "fr"),
        ("Mme. Moreau est absente aujourd'hui.", "madame Moreau est absente aujourd'hui.", "fr"),
        # German
        ("Frau Dr. Müller ist sehr klug.", "Frau doktor Müller ist sehr klug.", "de"),
        # Portuguese
        ("Olá Sr. Silva.", "Olá senhor Silva.", "pt"),
        ("Dra. Costa, você está disponível?", "doutora Costa, você está disponível?", "pt"),
        # Italian
        ("Buongiorno, Sig. Rossi.", "Buongiorno, signore Rossi.", "it"),
        # ("Sig.ra Bianchi, posso aiutarti?", 'signora Bianchi, posso aiutarti?', 'it'), # Issue with matching that pattern
        # Polish
        ("Dzień dobry, P. Kowalski.", "Dzień dobry, pani Kowalski.", "pl"),
        ("M. Nowak, czy mogę zadać pytanie?", "pan Nowak, czy mogę zadać pytanie?", "pl"),
        # Czech
        ("P. Novák", "pan Novák", "cs"),
        ("Dr. Vojtěch", "doktor Vojtěch", "cs"),
        # Dutch
        ("Dhr. Jansen", "de heer Jansen", "nl"),
        ("Mevr. de Vries", "mevrouw de Vries", "nl"),
        # Russian
        ("Здравствуйте Г-н Иванов.", "Здравствуйте господин Иванов.", "ru"),
        ("Д-р Смирнов здесь, чтобы увидеть вас.", "доктор Смирнов здесь, чтобы увидеть вас.", "ru"),
        # Turkish
        ("Merhaba B. Yılmaz.", "Merhaba bay Yılmaz.", "tr"),
        ("Dr. Ayşe burada.", "doktor Ayşe burada.", "tr"),
        # Hungarian
        ("Dr. Szabó itt van.", "doktor Szabó itt van.", "hu"),
    ]

    for a, b, lang in test_cases:
        out = expand_abbreviations_multilingual(a, lang=lang)
        assert out == b, f"'{out}' vs '{b}'"


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}'"


if __name__ == "__main__":
    test_expand_numbers_multilingual()
    test_abbreviations_multilingual()
    test_symbols_multilingual()