ttsv/tts_infer/num_to_word_on_sent.py

import re
import string

# ----------------------------- indic_num.py -----------------------------
supported_lang = {"en", "hi", "gu", "mr", "bn", "te", "ta", "kn", "or", "pa"}
# supported_lang = {'eng', 'hin', 'guj', 'mar', 'ben', 'tel', 'tam', 'kan', 'ori', 'pan'}  # Three alphabet lang code

all_num = {
    "en": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
    "hi": ["०", "१", "२", "३", "४", "५", "६", "७", "८", "९"],
    "gu": ["૦", "૧", "૨", "૩", "૪", "૫", "૬", "૭", "૮", "૯"],
    "mr": ["०", "१", "२", "३", "४", "५", "६", "७", "८", "९"],
    "bn": ["০", "১", "২", "৩", "৪", "৫", "৬", "৭", "৮", "৯"],
    "te": ["౦", "౧", "౨", "౩", "౪", "౫", "౬", "౭", "౮", "౯"],
    "ta": ["0", "௧", "௨", "௩", "௪", "௫", "௬", "௭", "௮", "௯", "௰"],
    "kn": ["೦", "೧", "೨", "೩", "೪", "೫", "೬", "೭", "೮", "೯"],
    "or": ["୦", "୧", "୨", "୩", "୪", "୫", "୬", "୭", "୮", "୯"],
    "pa": ["੦", "੧", "੨", "੩", "੪", "੫", "੬", "੭", "੮", "੯"],
}

num_dict = dict()
num_dict["en"] = {
    "0": "zero",
    "1": "one",
    "2": "two",
    "3": "three",
    "4": "four",
    "5": "five",
    "6": "six",
    "7": "seven",
    "8": "eight",
    "9": "nine",
    "10": "ten",
    "11": "eleven",
    "12": "twelve",
    "13": "thirteen",
    "14": "fourteen",
    "15": "fifteen",
    "16": "sixteen",
    "17": "seventeen",
    "18": "eighteen",
    "19": "nineteen",
    "20": "twenty",
    "21": "twenty-one",
    "22": "twenty-two",
    "23": "twenty-three",
    "24": "twenty-four",
    "25": "twenty-five",
    "26": "twenty-six",
    "27": "twenty-seven",
    "28": "twenty-eight",
    "29": "twenty-nine",
    "30": "thirty",
    "31": "thirty-one",
    "32": "thirty-two",
    "33": "thirty-three",
    "34": "thirty-four",
    "35": "thirty-five",
    "36": "thirty-six",
    "37": "thirty-seven",
    "38": "thirty-eight",
    "39": "thirty-nine",
    "40": "forty",
    "41": "forty-one",
    "42": "forty-two",
    "43": "forty-three",
    "44": "forty-four",
    "45": "forty-five",
    "46": "forty-six",
    "47": "forty-seven",
    "48": "forty-eight",
    "49": "forty-nine",
    "50": "fifty",
    "51": "fifty-one",
    "52": "fifty-two",
    "53": "fifty-three",
    "54": "fifty-four",
    "55": "fifty-five",
    "56": "fifty-six",
    "57": "fifty-seven",
    "58": "fifty-eight",
    "59": "fifty-nine",
    "60": "sixty",
    "61": "sixty-one",
    "62": "sixty-two",
    "63": "sixty-three",
    "64": "sixty-four",
    "65": "sixty-five",
    "66": "sixty-six",
    "67": "sixty-seven",
    "68": "sixty-eight",
    "69": "sixty-nine",
    "70": "seventy",
    "71": "seventy-one",
    "72": "seventy-two",
    "73": "seventy-three",
    "74": "seventy-four",
    "75": "seventy-five",
    "76": "seventy-six",
    "77": "seventy-seven",
    "78": "seventy-eight",
    "79": "seventy-nine",
    "80": "eighty",
    "81": "eighty-one",
    "82": "eighty-two",
    "83": "eighty-three",
    "84": "eighty-four",
    "85": "eighty-five",
    "86": "eighty-six",
    "87": "eighty-seven",
    "88": "eighty-eight",
    "89": "eighty-nine",
    "90": "ninety",
    "91": "ninety-one",
    "92": "ninety-two",
    "93": "ninety-three",
    "94": "ninety-four",
    "95": "ninety-five",
    "96": "ninety-six",
    "97": "ninety-seven",
    "98": "ninety-eight",
    "99": "ninety-nine",
    "100": "hundred",
    "1000": "thousand",
    "100000": "lac",
    "10000000": "crore",
    "1000000000": "arab",
}  # English-India
num_dict["hi"] = {
    "0": "शून्य",
    "1": "एक",
    "2": "दो",
    "3": "तीन",
    "4": "चार",
    "5": "पाँच",
    "6": "छः",
    "7": "सात",
    "8": "आठ",
    "9": "नौ",
    "10": "दस",
    "11": "ग्यारह",
    "12": "बारह",
    "13": "तेरह",
    "14": "चौदह",
    "15": "पंद्रह",
    "16": "सोलह",
    "17": "सत्रह",
    "18": "अट्ठारह",
    "19": "उन्नीस",
    "20": "बीस",
    "21": "इक्कीस",
    "22": "बाईस",
    "23": "तेईस",
    "24": "चौबिस",
    "25": "पच्चीस",
    "26": "छब्बीस",
    "27": "सत्ताईस",
    "28": "अट्ठाईस",
    "29": "उनतीस",
    "30": "तीस",
    "31": "इकतीस",
    "32": "बत्तीस",
    "33": "तैंतीस",
    "34": "चौंतीस",
    "35": "पैंतीस",
    "36": "छत्तीस",
    "37": "सैंतीस",
    "38": "अड़तीस",
    "39": "उनतालीस",
    "40": "चालीस",
    "41": "इकतालीस",
    "42": "बयालीस",
    "43": "तैंतालीस",
    "44": "चौंतालीस",
    "45": "पैंतालीस",
    "46": "छियालीस",
    "47": "सैंतालीस",
    "48": "अड़तालीस",
    "49": "उनचास",
    "50": "पचास",
    "51": "इक्यावन​",
    "52": "बावन",
    "53": "तिरेपन",
    "54": "चौवन",
    "55": "पचपन",
    "56": "छप्पन",
    "57": "सत्तावन",
    "58": "अट्ठावन",
    "59": "उनसठ",
    "60": "साठ",
    "61": "इकसठ",
    "62": "बासठ",
    "63": "तिरेसठ",
    "64": "चौंसठ",
    "65": "पैंसठ",
    "66": "छयासठ",
    "67": "सरसठ​",
    "68": "अड़सठ",
    "69": "उनहत्तर",
    "70": "सत्तर",
    "71": "इकहत्तर",
    "72": "बहत्तर",
    "73": "तिहत्तर",
    "74": "चौहत्तर",
    "75": "पचहत्तर",
    "76": "छिहत्तर",
    "77": "सतहत्तर",
    "78": "अठहत्तर",
    "79": "उन्यासी",
    "80": "अस्सी",
    "81": "इक्यासी",
    "82": "बयासी",
    "83": "तिरासी",
    "84": "चौरासी",
    "85": "पचासी",
    "86": "छियासी",
    "87": "सत्तासी",
    "88": "अठासी",
    "89": "नवासी",
    "90": "नब्बे",
    "91": "इक्यानवे",
    "92": "बानवे",
    "93": "तिरानवे",
    "94": "चौरानवे",
    "95": "पचानवे",
    "96": "छियानवे",
    "97": "सत्तानवे",
    "98": "अट्ठानवे",
    "99": "निन्यानवे",
    "100": "सौ",
    "1000": "हज़ार",
    "100000": "लाख",
    "10000000": "करोड़",
    "1000000000": "अरब",
}  # Hindi
num_dict["gu"] = {
    "0": "શૂન્ય",
    "1": "એક",
    "2": "બે",
    "3": "ત્રણ",
    "4": "ચાર",
    "5": "પાંચ",
    "6": "છ",
    "7": "સાત",
    "8": "આઠ",
    "9": "નવ",
    "10": "દસ",
    "11": "અગિયાર",
    "12": "બાર",
    "13": "તેર",
    "14": "ચૌદ",
    "15": "પંદર",
    "16": "સોળ",
    "17": "સત્તર",
    "18": "અઢાર",
    "19": "ઓગણિસ",
    "20": "વીસ",
    "21": "એકવીસ",
    "22": "બાવીસ",
    "23": "તેવીસ",
    "24": "ચોવીસ",
    "25": "પચ્ચીસ",
    "26": "છવીસ",
    "27": "સત્તાવીસ",
    "28": "અઠ્ઠાવીસ",
    "29": "ઓગણત્રીસ",
    "30": "ત્રીસ",
    "31": "એકત્રીસ",
    "32": "બત્રીસ",
    "33": "તેત્રીસ",
    "34": "ચોત્રીસ",
    "35": "પાંત્રીસ",
    "36": "છત્રીસ",
    "37": "સડત્રીસ",
    "38": "અડત્રીસ",
    "39": "ઓગણચાલીસ",
    "40": "ચાલીસ",
    "41": "એકતાલીસ",
    "42": "બેતાલીસ",
    "43": "ત્રેતાલીસ",
    "44": "ચુંમાલીસ",
    "45": "પિસ્તાલીસ",
    "46": "છેતાલીસ",
    "47": "સુડતાલીસ",
    "48": "અડતાલીસ",
    "49": "ઓગણપચાસ",
    "50": "પચાસ",
    "51": "એકાવન",
    "52": "બાવન",
    "53": "ત્રેપન",
    "54": "ચોપન",
    "55": "પંચાવન",
    "56": "છપ્પન",
    "57": "સત્તાવન",
    "58": "અઠ્ઠાવન",
    "59": "ઓગણસાઠ",
    "60": "સાઈઠ",
    "61": "એકસઠ",
    "62": "બાસઠ",
    "63": "ત્રેસઠ",
    "64": "ચોસઠ",
    "65": "પાંસઠ",
    "66": "છાસઠ",
    "67": "સડસઠ",
    "68": "અડસઠ",
    "69": "અગણોસિત્તેર",
    "70": "સિત્તેર",
    "71": "એકોતેર",
    "72": "બોતેર",
    "73": "તોતેર",
    "74": "ચુમોતેર",
    "75": "પંચોતેર",
    "76": "છોતેર",
    "77": "સિત્યોતેર",
    "78": "ઇઠ્યોતેર",
    "79": "ઓગણાએંસી",
    "80": "એંસી",
    "81": "એક્યાસી",
    "82": "બ્યાસી",
    "83": "ત્યાસી",
    "84": "ચોર્યાસી",
    "85": "પંચાસી",
    "86": "છ્યાસી",
    "87": "સિત્યાસી",
    "88": "ઈઠ્યાસી",
    "89": "નેવ્યાસી",
    "90": "નેવું",
    "91": "એકાણું",
    "92": "બાણું",
    "93": "ત્રાણું",
    "94": "ચોરાણું",
    "95": "પંચાણું",
    "96": "છન્નું",
    "97": "સત્તાણું",
    "98": "અઠ્ઠાણું",
    "99": "નવ્વાણું",
    "100": "સો",
    "1000": "હજાર",
    "100000": "લાખ",
    "1000000": "દસ લાખ",
    "10000000": "કરોડ઼",
}  # Gujarati
num_dict["mr"] = {
    "0": "शून्य",
    "1": "एक",
    "2": "दोन",
    "3": "तीन",
    "4": "चार",
    "5": "पाच",
    "6": "सहा",
    "7": "सात",
    "8": "आठ",
    "9": "नऊ",
    "10": "दहा",
    "11": "अकरा",
    "12": "बारा",
    "13": "तेरा",
    "14": "चौदा",
    "15": "पंधरा",
    "16": "सोळा",
    "17": "सतरा",
    "18": "अठरा",
    "19": "एकोणीस",
    "20": "वीस",
    "21": "एकवीस",
    "22": "बावीस",
    "23": "तेवीस",
    "24": "चोवीस",
    "25": "पंचवीस",
    "26": "सव्वीस",
    "27": "सत्तावीस",
    "28": "अठ्ठावीस",
    "29": "एकोणतीस",
    "30": "तीस",
    "31": "एकतीस",
    "32": "बत्तीस",
    "33": "तेहेतीस",
    "34": "चौतीस",
    "35": "पस्तीस",
    "36": "छत्तीस",
    "37": "सदतीस",
    "38": "अडतीस",
    "39": "एकोणचाळीस",
    "40": "चाळीस",
    "41": "एक्केचाळीस",
    "42": "बेचाळीस",
    "43": "त्रेचाळीस",
    "44": "चव्वेचाळीस",
    "45": "पंचेचाळीस",
    "46": "सेहेचाळीस",
    "47": "सत्तेचाळीस",
    "48": "अठ्ठेचाळीस",
    "49": "एकोणपन्नास",
    "50": "पन्नास",
    "51": "एक्कावन्न",
    "52": "बावन्न",
    "53": "त्रेपन्न",
    "54": "चोपन्न",
    "55": "पंचावन्न",
    "56": "छप्पन्न",
    "57": "सत्तावन्न",
    "58": "अठ्ठावन्न",
    "59": "एकोणसाठ",
    "60": "साठ",
    "61": "एकसष्ठ",
    "62": "बासष्ठ",
    "63": "त्रेसष्ठ",
    "64": "चौसष्ठ",
    "65": "पासष्ठ",
    "66": "सहासष्ठ",
    "67": "सदुसष्ठ",
    "68": "अडुसष्ठ",
    "69": "एकोणसत्तर",
    "70": "सत्तर",
    "71": "एक्काहत्तर",
    "72": "बाहत्तर",
    "73": "त्र्याहत्तर",
    "74": "चौर्‍याहत्तर",
    "75": "पंच्याहत्तर",
    "76": "शहात्तर",
    "77": "सत्याहत्तर",
    "78": "अठ्ठ्याहत्तर",
    "79": "एकोण ऐंशी",
    "80": "ऐंशी",
    "81": "एक्क्याऐंशी",
    "82": "ब्याऐंशी",
    "83": "त्र्याऐंशी",
    "84": "चौऱ्याऐंशी",
    "85": "पंच्याऐंशी",
    "86": "शहाऐंशी",
    "87": "सत्त्याऐंशी",
    "88": "अठ्ठ्याऐंशी",
    "89": "एकोणनव्वद",
    "90": "नव्वद",
    "91": "एक्क्याण्णव",
    "92": "ब्याण्णव",
    "93": "त्र्याण्णव",
    "94": "चौऱ्याण्णव",
    "95": "पंच्याण्णव",
    "96": "शहाण्णव",
    "97": "सत्त्याण्णव",
    "98": "अठ्ठ्याण्णव",
    "99": "नव्व्याण्णव",
    "100": "शे",
    "1000": "हजार",
    "100000": "लाख",
    "10000000": "कोटी",
    "1000000000": "अब्ज",
}  # Marathi
num_dict["bn"] = {
    "0": "শূন্য",
    "1": "এক",
    "2": "দুই",
    "3": "তিন",
    "4": "চার",
    "5": "পাঁচ",
    "6": "ছয়",
    "7": "সাত",
    "8": "আট",
    "9": "নয়",
    "10": "দশ",
    "11": "এগার",
    "12": "বার",
    "13": "তের",
    "14": "চৌদ্দ",
    "15": "পনের",
    "16": "ষোল",
    "17": "সতের",
    "18": "আঠার",
    "19": "ঊনিশ",
    "20": "বিশ",
    "21": "একুশ",
    "22": "বাইশ",
    "23": "তেইশ",
    "24": "চব্বিশ",
    "25": "পঁচিশ",
    "26": "ছাব্বিশ",
    "27": "সাতাশ",
    "28": "আঠাশ",
    "29": "ঊনত্রিশ",
    "30": "ত্রিশ",
    "31": "একত্রিশ",
    "32": "বত্রিশ",
    "33": "তেত্রিশ",
    "34": "চৌত্রিশ",
    "35": "পঁয়ত্রিশ",
    "36": "ছত্রিশ",
    "37": "সাঁইত্রিশ",
    "38": "আটত্রিশ",
    "39": "ঊনচল্লিশ",
    "40": "চল্লিশ",
    "41": "একচল্লিশ",
    "42": "বিয়াল্লিশ",
    "43": "তেতাল্লিশ",
    "44": "চুয়াল্লিশ",
    "45": "পঁয়তাল্লিশ",
    "46": "ছেচল্লিশ",
    "47": "সাতচল্লিশ",
    "48": "আটচল্লিশ",
    "49": "ঊনপঞ্চাশ",
    "50": "পঞ্চাশ",
    "51": "একান্ন",
    "52": "বায়ান্ন",
    "53": "তিপ্পান্ন",
    "54": "চুয়ান্ন",
    "55": "পঞ্চান্ন",
    "56": "ছাপ্পান্ন",
    "57": "সাতান্ন",
    "58": "আটান্ন",
    "59": "ঊনষাট",
    "60": "ষাট",
    "61": "একষট্টি",
    "62": "বাষট্টি",
    "63": "তেষট্টি",
    "64": "চৌষট্টি",
    "65": "পঁয়ষট্টি",
    "66": "ছেষট্টি",
    "67": "সাতষট্টি",
    "68": "আটষট্টি",
    "69": "ঊনসত্তর",
    "70": "সত্তর",
    "71": "একাত্তর",
    "72": "বাহাত্তর",
    "73": "তিয়াত্তর",
    "74": "চুয়াত্তর",
    "75": "পঁচাত্তর",
    "76": "ছিয়াত্তর",
    "77": "সাতাত্তর",
    "78": "আটাত্তর",
    "79": "ঊনআশি",
    "80": "আশি",
    "81": "একাশি",
    "82": "বিরাশি",
    "83": "তিরাশি",
    "84": "চুরাশি",
    "85": "পঁচাশি",
    "86": "ছিয়াশি",
    "87": "সাতাশি",
    "88": "আটাশি",
    "89": "ঊননব্বই",
    "90": "নব্বই",
    "91": "একানব্বই",
    "92": "বিরানব্বই",
    "93": "তিরানব্বই",
    "94": "চুরানব্বই",
    "95": "পঁচানব্বই",
    "96": "ছিয়ানব্বই",
    "97": "সাতানব্বই",
    "98": "আটানব্বই",
    "99": "নিরানব্বই",
    "100": "শো",
    "1000": "হাজার",
    "100000": "লাখ",
    "10000000": "কোটি",
    "1000000000": "একশ’ কোটি",
}  # Bengali
num_dict["te"] = {
    "0": "సున్నా",
    "1": "ఒకటి",
    "2": "రెండు",
    "3": "మూడు",
    "4": "నాలుగు",
    "5": "ఐదు",
    "6": "ఆరు",
    "7": "ఏడు",
    "8": "ఎనిమిది",
    "9": "తొమ్మిది",
    "10": "పది",
    "11": "పదకొండు",
    "12": "పన్నెండు",
    "13": "పదమూడు",
    "14": "పద్నాలుగు",
    "15": "పదిహేను",
    "16": "పదహారు",
    "17": "పదిహేడు",
    "18": "పద్దెనిమిది",
    "19": "పందొమ్మిది",
    "20": "ఇరవై",
    "21": "ఇరవై ఒకటి",
    "22": "ఇరవై రెండు",
    "23": "ఇరవై మూడు",
    "24": "ఇరవై నాలుగు",
    "25": "ఇరవై ఐదు",
    "26": "ఇరవై ఆరు",
    "27": "ఇరవై ఏడు",
    "28": "ఇరవై ఎనిమిది",
    "29": "ఇరవై తొమ్మిది",
    "30": "ముప్పై",
    "31": "ముప్పై ఒకటి",
    "32": "ముప్పై రెండు",
    "33": "ముప్పై మూడు",
    "34": "ముప్పై నాలుగు",
    "35": "ముప్పై ఐదు",
    "36": "ముప్పై ఆరు",
    "37": "ముప్పై ఏడు",
    "38": "ముప్పై ఎనిమిది",
    "39": "ముప్పై తొమ్మిది",
    "40": "నలభై",
    "41": "నలభై ఒకటి",
    "42": "నలభై రెండు",
    "43": "నలభై మూడు",
    "44": "నలభై నాలుగు",
    "45": "నలభై ఐదు",
    "46": "నలభై ఆరు",
    "47": "నలభై ఏడు",
    "48": "నలభై ఎనిమిది",
    "49": "నలభై తొమ్మిది",
    "50": "యాభై",
    "51": "యాభై ఒకటి",
    "52": "యాభై రెండు",
    "53": "యాభై మూడు",
    "54": "యాభై నాలుగు",
    "55": "యాభై ఐదు",
    "56": "యాభై ఆరు",
    "57": "యాభై ఏడు",
    "58": "యాభై ఎనిమిది",
    "59": "యాభై తొమ్మిది",
    "60": "అరవై",
    "61": "అరవై ఒకటి",
    "62": "అరవై రెండు",
    "63": "అరవై మూడు",
    "64": "అరవై నాలుగు",
    "65": "అరవై ఐదు",
    "66": "అరవై ఆరు",
    "67": "అరవై ఏడు",
    "68": "అరవై ఎనిమిది",
    "69": "అరవై తొమ్మిది",
    "70": "డెబ్బై",
    "71": "డెబ్బై ఒకటి",
    "72": "డెబ్బై రెండు",
    "73": "డెబ్బై మూడు",
    "74": "డెబ్బై నాలుగు",
    "75": "డెబ్బై ఐదు",
    "76": "డెబ్బై ఆరు",
    "77": "డెబ్బై ఏడు",
    "78": "డెబ్బై ఎనిమిది",
    "79": "డెబ్బై తొమ్మిది",
    "80": "ఎనభై",
    "81": "ఎనభై ఒకటి",
    "82": "ఎనభై రెండు",
    "83": "ఎనభై మూడు",
    "84": "ఎనభై నాలుగు",
    "85": "ఎనభై ఐదు",
    "86": "ఎనభై ఆరు",
    "87": "ఎనభై ఏడు",
    "88": "ఎనభై ఎనిమిది",
    "89": "ఎనభై తొమ్మిది",
    "90": "తొంభై",
    "91": "తొంభై ఒకటి",
    "92": "తొంభై రెండు",
    "93": "తొంభై మూడు",
    "94": "తొంభై నాలుగు",
    "95": "తొంభై ఐదు",
    "96": "తొంభై ఆరు",
    "97": "తొంభై ఏడు",
    "98": "తొంభై ఎనిమిది",
    "99": "తొంభై తొమ్మిది",
    "100": "వందల",
    "1000": "వేల",
    "100000": "లక్షల",
    "10000000": "కోట్ల",
    "1000000000": "బిలియన్",
}  # Telugu
num_dict["ta"] = {
    "0": "பூஜ்ஜியம்",
    "1": "ஒன்று",
    "2": "இரண்டு",
    "3": "மூன்று",
    "4": "நான்கு",
    "5": "ஐந்து",
    "6": "ஆறு",
    "7": "ஏழு",
    "8": "எட்டு",
    "9": "ஒன்பது",
    "10": "பத்து",
    "11": "பதினொன்று",
    "12": "பன்னிரண்டு",
    "13": "பதிமூன்று",
    "14": "பதினான்கு",
    "15": "பதினைந்து",
    "16": "பதினாறு",
    "17": "பதினேழு",
    "18": "பதினெட்டு",
    "19": "பத்தொன்பது",
    "20": "இருபது",
    "21": "இருபது ஒன்று",
    "22": "இருபத்து இரண்டு",
    "23": "இருபத்து மூன்று",
    "24": "இருபத்து நான்கு",
    "25": "இருபத்து ஐந்து",
    "26": "இருபத்து ஆறு",
    "27": "இருபத்து ஏழு",
    "28": "இருபத்து எட்டு",
    "29": "இருபத்து ஒன்பது",
    "30": "முப்பது",
    "31": "முப்பத்து ஒன்று",
    "32": "முப்பத்து இரண்டு",
    "33": "முப்பத்து மூன்று",
    "34": "முப்பத்து நான்கு",
    "35": "முப்பத்து ஐந்து",
    "36": "முப்பத்து ஆறு",
    "37": "முப்பத்து ஏழு",
    "38": "முப்பத்து எட்டு",
    "39": "முப்பத்து ஒன்பது",
    "40": "நாற்பது",
    "41": "நாற்பத்து ஒன்று",
    "42": "நாற்பத்து இரண்டு",
    "43": "நாற்பத்து மூன்று",
    "44": "நாற்பத்து நான்கு",
    "45": "நாற்பத்து ஐந்து",
    "46": "நாற்பத்து ஆறு",
    "47": " நாற்பத்து ஏழு",
    "48": "நாற்பத்து எட்டு",
    "49": "நாற்பத்து ஒன்பது",
    "50": "ஐம்பது",
    "51": "ஐம்பத்து ஒன்று",
    "52": "ஐம்பத்து இரண்டு",
    "53": "ஐம்பத்து மூன்று",
    "54": "ஐம்பத்து நான்கு",
    "55": "ஐம்பத்து ஐந்து",
    "56": "ஐம்பத்து ஆறு",
    "57": "ஐம்பத்து ஏழு",
    "58": "ஐம்பத்து எட்டு",
    "59": "ஐம்பத்து ஒன்பது",
    "60": "அறுபது",
    "61": "அறுபத்து ஒன்று",
    "62": "அறுபத்து இரண்டு",
    "63": "அறுபத்து மூன்று",
    "64": "அறுபத்து நான்கு",
    "65": "அறுபத்து ஐந்து",
    "66": "அறுபத்து ஆறு",
    "67": "அறுபத்து ஏழு",
    "68": "அறுபத்து எட்டு",
    "69": "அறுபத்து ஒன்பது",
    "70": "எழுபது",
    "71": "எழுபத்தி ஒன்று",
    "72": "எழுபத்தி இரண்டு",
    "73": "எழுபத்தி முச்சக்கர",
    "74": "எழுபத்தி நான்கு",
    "75": "எழுபத்தி ஐந்து",
    "76": "எழுபத்தி ஆறு",
    "77": "எழுபத்தி ஏழு",
    "78": "எழுபத்தி எட்டு",
    "79": "எழுபத்தி ஒன்பது",
    "80": "எண்பது",
    "81": "எண்பத்தியொன்று",
    "82": "எண்பத்திரண்டு",
    "83": "எண்பத்திமூன்று",
    "84": "என்பதினான்கு",
    "85": "என்பதினைந்து",
    "86": "எண்பத்திஆறு",
    "87": "எண்பத்திஏழு",
    "88": "எண்பத்தியெட்டு",
    "89": "எண்பத்தியொன்பது",
    "90": "தொன்னூறு",
    "91": "தொண்ணூற்றியொன்று",
    "92": "தொண்ணூற்றிரண்டு",
    "93": "தொண்ணூற்றிமூன்று",
    "94": "தொண்ணூற்றிநான்கு",
    "95": "தொண்ணூற்றிஐந்து",
    "96": "தொண்ணூற்றியாறு",
    "97": "தொண்ணூற்றியேழு",
    "98": "தொண்ணூற்றியெட்டு",
    "99": "தொண்ணூற்றிஒன்பது",
    "100": "நூறு",
    "1000": "ஆயிரம்",
    "100000": "இலட்சம்",
    "10000000": "கோடி",
    "1000000000": "பில்லியன்",
}  # Tamil
num_dict["kn"] = {
    "0": "ಸೊನ್ನೆ",
    "1": "ಒಂದು",
    "2": "ಎರಡು",
    "3": "ಮೂರು",
    "4": "ನಾಲ್ಕು",
    "5": "ಅಯ್ದು",
    "6": "ಆರು",
    "7": "ಏಳು",
    "8": "ಎಂಟು",
    "9": "ಒಂಬತ್ತು",
    "10": "ಹತ್ತು",
    "11": "ಹನ್ನೊಂದು",
    "12": "ಹನ್ನೆರಡು",
    "13": "ಹದಿಮೂರು",
    "14": "ಹದಿನಾಲ್ಕು",
    "15": "ಹದಿನೈದು",
    "16": "ಹದಿನಾರು",
    "17": "ಹದಿನೇಳು",
    "18": "ಹದಿನೆಂಟು",
    "19": "ಹತ್ತೊಂಬತ್ತು",
    "20": "ಇಪ್ಪತ್ತು",
    "21": "ಇಪ್ಪತ್ತ್’ಒಂದು",
    "22": "ಇಪ್ಪತ್ತ್’ಎರಡು",
    "23": "ಇಪ್ಪತ್ತ್’ಮೂರು",
    "24": "ಇಪ್ಪತ್ತ್’ನಾಲ್ಕು",
    "25": "ಇಪ್ಪತ್ತ್’ಐದು",
    "26": "ಇಪ್ಪತ್ತ್’ಆರು",
    "27": "ಇಪ್ಪತ್ತ್’ಏಳು",
    "28": "ಇಪ್ಪತ್ತ್’ಎಂಟು",
    "29": "ಇಪ್ಪತ್ತ್’ಒಂಬತ್ತು",
    "30": "ಮೂವತ್ತು",
    "31": "ಮುವತ್ತ್’ಒಂದು",
    "32": "ಮುವತ್ತ್’ಎರಡು",
    "33": "ಮುವತ್ತ್’ಮೂರು",
    "34": "ಮೂವತ್ತ್’ನಾಲ್ಕು",
    "35": "ಮೂವತ್ತ್’ಐದು",
    "36": "ಮೂವತ್ತ್’ಆರು",
    "37": "ಮೂವತ್ತ್’ಏಳು",
    "38": "ಮೂವತ್ತ್’ಎಂಟು",
    "39": "ಮೂವತ್ತ್’ಒಂಬತ್ತು",
    "40": "ನಲವತ್ತು",
    "41": "ನಲವತ್ತೊಂದು",
    "42": "ನಲವತ್ತ್ ಎರಡು",
    "43": "ನಲವತ್ತ್ ಮೂರು",
    "44": "ನಲವತ್ತ್ ನಾಲ್ಕು",
    "45": "ನಲವತ್ತೈದು",
    "46": "ನಲವತ್ತಾರು",
    "47": "ನಲವತ್ತೇಳು",
    "48": "ನಲವತ್ತೆಂಟು",
    "49": "ನಲವತ್ತೊಂಬತ್ತು",
    "50": "ಐವತ್ತು",
    "51": "ಐವತ್ತೊಂದು",
    "52": "ಐವತ್ತೆರಡು",
    "53": "ಐವತ್ತಮೂರು",
    "54": "ಐವತ್ತ್ನಾಲ್ಕು",
    "55": "ಐವತ್ತೈದು",
    "56": "ಐವತ್ತಾರು",
    "57": "ಐವತ್ತೇಳು",
    "58": "ಐವತ್ತೆಂಟು",
    "59": "ಐವತ್ತೊಂಬತ್ತು",
    "60": "ಅರವತ್ತು",
    "61": "ಅರವತ್ತೊಂದು",
    "62": "ಅರವತ್ತೆರಡು",
    "63": "ಅರವತ್ತ್ ಮೂರು",
    "64": "ಅರವತ್ತ್ ನಾಲ್ಕು",
    "65": "ಅರವತ್ತೈದು",
    "66": "ಅರವತ್ತಾರು",
    "67": "ಅರವತ್ತೇಳು",
    "68": "ಅರವತ್ತೆಂಟು",
    "69": "ಅರವತ್ತೊಂಬತ್ತು",
    "70": "ಎಪ್ಪತ್ತು",
    "71": "ಎಪ್ಪತ್ತೊಂದು",
    "72": "ಎಪ್ಪತ್ತೆರಡು",
    "73": "ಎಪ್ಪತ್ತ್ ಮೂರು",
    "74": "ಎಪ್ಪತ್ತ್ ನಾಲ್ಕು",
    "75": "ಎಪ್ಪತ್ತೈದು",
    "76": "ಎಪ್ಪತ್ತಾರು",
    "77": "ಎಪ್ಪತ್ತೇಳು",
    "78": "ಎಪ್ಪತ್ತೆಂಟು",
    "79": "ಎಪ್ಪತ್ತೊಂಬತ್ತು",
    "80": "ಎಂಬತ್ತು",
    "81": "ಎಂಬತ್ತೊಂದು",
    "82": "ಎಂಬತ್ತೆರಡು",
    "83": "ಎಂಬತ್ತ್ ಮೂರು",
    "84": "ಎಂಬತ್ತ್ ನಾಲ್ಕು",
    "85": "ಎಂಬತ್ತೈದು",
    "86": "ಎಂಬತ್ತಾರು",
    "87": "ಎಂಬತ್ತೇಳು",
    "88": "ಎಂಬತ್ತೆಂಟು",
    "89": "ಎಂಬತ್ತೊಂಬತ್ತು",
    "90": "ತೊಂಬತ್ತು",
    "91": "ತೊಂಬತ್ತೊಂದು",
    "92": "ತೊಂಬತ್ತೆರಡು",
    "93": "ತೊಂಬತ್ತ ಮೂರು",
    "94": "ತೊಂಬತ್ತ ನಾಲ್ಕು",
    "95": "ತೊಂಬತ್ತೈದು",
    "96": "ತೊಂಬತ್ತಾರು",
    "97": "ತೊಂಬತ್ತೇಳು",
    "98": "ತೊಂಬತ್ತೆಂಟು",
    "99": "ತೊಂಬತ್ತೊಂಬತ್ತು",
    "100": "ನೂರ",
    "1000": "ಸಾವಿರದ",
    "100000": "ಲಕ್ಷದ",
    "10000000": "ಕೋಟಿ",
    "1000000000": "ಶತಕೋಟಿ",
}  # Kannada
num_dict["or"] = {
    "0": "ଶୁନ୍ୟ",
    "1": "ଏକ",
    "2": "ଦୁଇ",
    "3": "ତିନି",
    "4": "ଚାରି",
    "5": "ପାଞ୍ଚ",
    "6": "ଛଅ",
    "7": "ସାତ",
    "8": "ଆଠ",
    "9": "ନଅ",
    "10": "ନଅ",
    "11": "ଏଗାର",
    "12": "ବାର",
    "13": "ତେର",
    "14": "ଚଉଦ",
    "15": "ପନ୍ଦର",
    "16": "ଷୋହଳ",
    "17": "ସତର",
    "18": "ଅଠର",
    "19": "ଊଣାଇଶ",
    "20": "କୋଡିଏ",
    "21": "ଏକୋଇଶି",
    "22": "ବାଇଶି",
    "23": "ତେଇଶି",
    "24": "ଚବିଶି",
    "25": "ପଚିଶି",
    "26": "ଛବିଶି",
    "27": "ସତାଇଶି",
    "28": "ଅଠାଇଶି",
    "29": "ଅଣତିରିଶି",
    "30": "ତିରିଶି",
    "31": "ଏକତିରିଶି",
    "32": "ବତିଶି",
    "33": "ତେତିଶି",
    "34": "ଚଉତିରିଶି",
    "35": "ପଞ୍ଚତିରିଶି",
    "36": "ଛତିଶି",
    "37": "ସଂଇତିରିଶି",
    "38": "ଅଠତିରିଶି",
    "39": "ଅଣଚାଳିଶି",
    "40": "ଚାଳିଶି",
    "41": "ଏକଚାଳିଶି",
    "42": "ବୟାଳିଶି",
    "43": "ତେୟାଳିଶି",
    "44": "ଚଉରାଳିଶି",
    "45": "ପଞ୍ଚଚାଳିଶି",
    "46": "ଛୟାଳିଶି",
    "47": "ସତଚାଳିଶି",
    "48": "ଅଠଚାଳିଶି",
    "49": "ଅଣଚାଶ",
    "50": "ପଚାଶ",
    "51": "ଏକାବନ",
    "52": "ବାଉନ",
    "53": "ତେପନ",
    "54": "ଚଉବନ",
    "55": "ପଞ୍ଚାବନ",
    "56": "ଛପନ",
    "57": "ସତାବନ",
    "58": "ଅଠାବନ",
    "59": "ଅଣଷଠି",
    "60": "ଷାଠିଏ",
    "61": "ଏକଷଠି",
    "62": "ବାଷଠି",
    "63": "ତେଷଠି",
    "64": "ଚଉଷଠି",
    "65": "ପଞ୍ଚଷଠି",
    "66": "ଛଅଷଠି",
    "67": "ସତଷଠି",
    "68": "ଅଠଷଠି",
    "69": "ଅଣସ୍ତରୀ",
    "70": "ସତୂରୀ",
    "71": "ଏକସ୍ତରୀ",
    "72": "ବାସ୍ତରୀ",
    "73": "ତେସ୍ତରୀ",
    "74": "ଚଉସ୍ତରୀ",
    "75": "ପଞ୍ଚସ୍ତରୀ",
    "76": "ଛଅସ୍ତରୀ",
    "77": "ସତସ୍ତରୀ",
    "78": "ଅଠସ୍ତରୀ",
    "79": "ଅଣାଅଶୀ",
    "80": "ଅଶୀ",
    "81": "ଏକାଅଶୀ",
    "82": "ବୟାଅଶୀ",
    "83": "ତେୟାଅଶୀ",
    "84": "ଚଉରାଅଶୀ",
    "85": "ପଞ୍ଚାଅଶୀ",
    "86": "ଛୟାଅଶୀ",
    "87": "ସତାଅଶୀ",
    "88": "ଅଠାଅଶୀ",
    "89": "ଅଣାନବେ",
    "90": "ନବେ",
    "91": "ଏକାନବେ",
    "92": "ବୟାନବେ",
    "93": "ତେୟାନବେ",
    "94": "ଚଉରାନବେ",
    "95": "ପଞ୍ଚାନବେ",
    "96": "ଛୟାନବେ",
    "97": "ସତାନବେ",
    "98": "ଅଠାନବେ",
    "99": "ଅନେଶତ",
    "100": "ଶହେ",
    "1000": "ହଜାର",
    "100000": "ଲକ୍ଷ",
    "10000000": "କୋଟି",
    "1000000000": "କୋଟି",
}  # Oriya
num_dict["pa"] = {
    "0": "ਸਿਫਰ ",
    "1": "ਇੱਕ",
    "2": "ਦੋ",
    "3": "ਤਿੰਨ",
    "4": "ਚਾਰ",
    "5": "ਪੰਜ",
    "6": "ਛੇ",
    "7": "ਸੱਤ",
    "8": "ਅੱਠ",
    "9": "ਨੌਂ",
    "10": "ਦੱਸ",
    "11": "ਗਿਆਰਾਂ",
    "12": "ਬਾਰਾਂ",
    "13": "ਤੇਰਾਂ",
    "14": "ਚੌਦਾਂ",
    "15": "ਪੰਦਰਾਂ",
    "16": "ਸੋਲ਼ਾਂ",
    "17": "ਸਤਾਰਾਂ",
    "18": "ਅਠਾਰਾਂ",
    "19": "ਉਨੀ",
    "20": "ਵੀਹ",
    "21": "ਇੱਕੀ",
    "22": "ਬਾਈ",
    "23": "ਤੇਈ",
    "24": "ਚੌਵੀ",
    "25": "ਪੰਝੀ",
    "26": "ਛੱਬੀ",
    "27": "ਸਤਾਈ",
    "28": "ਅਠਾਈ",
    "29": "ਉਨੱਤੀ",
    "30": "ਤੀਹ",
    "31": "ਇਕੱਤੀ",
    "32": "ਬੱਤੀ",
    "33": "ਤੇਤੀ",
    "34": "ਚੌਂਤੀ",
    "35": "ਪੈਂਤੀ",
    "36": "ਛੱਤੀ",
    "37": "ਸੈਂਤੀ",
    "38": "ਅਠੱਤੀ",
    "39": "ਉਨਤਾਲੀ",
    "40": "ਚਾਲੀ",
    "41": "ਇਕਤਾਲੀ",
    "42": "ਬਤਾਲੀ",
    "43": "ਤਰਤਾਲੀ",
    "44": "ਚੌਤਾਲੀ",
    "45": "ਪੰਜਤਾਲੀ",
    "46": "ਛਿਆਲੀ",
    "47": "ਸੰਤਾਲੀ",
    "48": "ਅੱਠਤਾਲੀ",
    "49": "ਉਣਿੰਜਾ",
    "50": "ਪੰਜਾਹ",
    "51": "ਇਕਵਿੰਜਾ",
    "52": "ਬਵਿੰਜਾ",
    "53": "ਤਰਵਿੰਜਾ",
    "54": "ਚਰਿੰਜਾ",
    "55": "ਪਚਵਿੰਜਾ",
    "56": "ਛਪਿੰਜਾ",
    "57": "ਸਤਵਿੰਜਾ",
    "58": "ਅੱਠਵਿੰਜਾ",
    "59": "ਉਣਾਠ",
    "60": "ਸੱਠ",
    "61": "ਇਕਾਠ",
    "62": "ਬਾਠ੍ਹ",
    "63": "ਤਰੇਠ੍ਹ",
    "64": "ਚੌਠ੍ਹ",
    "65": "ਪੈਂਠ",
    "66": "ਛਿਆਠ",
    "67": "ਸਤਾਹਠ",
    "68": "ਅੱਠਾਠ",
    "69": "ਉਣੱਤਰ",
    "70": "ਸੱਤਰ",
    "71": "ਇਕ੍ਹੱਤਰ",
    "72": "ਬਹੱਤਰ",
    "73": "ਤਹੱਤਰ",
    "74": "ਚੌਹੱਤਰ",
    "75": "ਪੰਜੱਤਰ",
    "76": "ਛਿਹੱਤਰ",
    "77": "ਸਤੱਤਰ",
    "78": "ਅਠੱਤਰ",
    "79": "ਉਣਾਸੀ",
    "80": "ਅੱਸੀ",
    "81": "ਇਕਾਸੀ",
    "82": "ਬਿਆਸੀ",
    "83": "ਤਰਾਸੀ",
    "84": "ਚਰਾਸੀ",
    "85": "ਪੰਜਾਸੀ",
    "86": "ਛਿਆਸੀ",
    "87": "ਸਤਾਸੀ",
    "88": "ਅਠਾਸੀ",
    "89": "ਉਣਾਨਵੇਂ",
    "90": "ਨੱਬੇ",
    "91": "ਇਕਾਨਵੇਂ",
    "92": "ਬਿਆਨਵੇਂ",
    "93": "ਤਰਾਨਵੇਂ",
    "94": "ਚਰਾਨਵੇਂ",
    "95": "ਪਚਾਨਵੇਂ",
    "96": "ਛਿਆਨਵੇਂ",
    "97": "ਸਤਾਨਵੇਂ",
    "98": "ਅਠਾਨਵੇਂ",
    "99": "ਨਿੜਾਨਵੇਂ",
    "100": "ਸੌ",
    "1000": "ਹਜਾਰ",
    "100000": "ਲੱਖ",
    "10000000": "ਕਰੋੜ",
    "1000000000": "ਅਰਬ",
}  # Punjabi

# --------------------------- num_to_word.py ------------------------------
"""
Method to convert Numbers to Words
for indian languages

Use cases:-
1) Speech recognition pre-processing
2) Language modeling Data pre-processing

-------------------------
check indic_numbers.py to add support
for any indian language
"""


def language_specific_exception(words, lang, combiner):
    """
    Language Specific Exception will come here
    """

    def occurs_at_end(piece):
        return words[-len(piece) :] == piece

    if lang == "mr":
        words = words.replace("एक" + combiner + "शे", "शंभर")
    elif lang == "gu":
        words = words.replace("બે" + combiner + "સો", "બસ્સો")
    elif lang == "te":
        exception_dict = {
            "1": "ఒక",
            "100": "వంద",
            "100+": "వందలు",
            "1000": "వెయ్యి",
            "1000+": "వేలు",
            "100000": "లక్ష",
            "100000+": "లక్షలు",
            "10000000": "కోటి",
            "10000000+": "కోట్లు",
        }

        test_case = ["100", "1000", "100000", "10000000"]
        for test in test_case:
            test_word = num_dict["te"][test]
            match = num_dict["te"]["1"] + combiner + test_word
            # for numbers like : 100, 1000, 100000
            if words == match:
                return exception_dict[test]
            # for numbers like : 200, 4000, 800000
            elif occurs_at_end(test_word):
                words = words.replace(test_word, exception_dict[test + "+"])
            # for numbers like : 105, 1076, 123993
            elif not occurs_at_end(match):
                replacement = exception_dict["1"] + combiner + exception_dict[test]
                words = words.replace(match, replacement)

        # Exception case for 101...199
        special_case = "ఒక" + combiner + "వంద"
        words = words.replace(special_case, "నూట")
    elif lang == "kn":
        # special case for 100
        if words == ("ಒಂದು" + combiner + "ನೂರ"):
            return "ನೂರು"
        exception_dict = {
            "ನೂರ": "ನೂರು",
            "ಸಾವಿರದ": "ಸಾವಿರ",
            "ಲಕ್ಷದ": "ಲಕ್ಷ",
            "ಕೋಟಿಯ": "ಕೋಟಿ",
        }
        for expt in exception_dict:
            if occurs_at_end(expt):
                words = words.replace(expt, exception_dict[expt])
    return words


def num_to_word(num, lang, separator=", ", combiner=" "):
    """
    Main Method
    :param num: Number digits from any indian language
    :param lang: Language Code from supported Language
    :param separator: Separator character i.e. separator = '-' --> 'two hundred-sixty'
    :param combiner: combine number with position i.e. combiner = '-' --> 'two-hundred sixty'
    :return: UTF-8 String of numbers in words
    """
    lang = lang.lower()
    num = str(num)

    # Load dictionary according to language code
    assert lang in supported_lang, "Language not supported"
    num_dic = num_dict[lang]

    # dash default combiner for english-india
    if (lang == "en") & (combiner == " "):
        combiner = "-"

    # Remove punctuations from numbers
    num = str(num).replace(",", "").replace(" ", "")
    
    # return word as it is if not number
    if not num.isdecimal():
        return num

    # Replace native language numbers with english digits
    for language in supported_lang:
        for num_index in range(10):
            num = num.replace(all_num[language][num_index], all_num["en"][num_index])

    # Assert that input contains only integer number
    for digit in num:
        assert digit in all_num["en"], "Give proper input"

    # Process
    # For Number longer than 9 digits
    def all_two_digit(digits_2):
        if len(digits_2) <= 1:  # Provided only one/zero digit
            return num_dic.get(digits_2, "")
        elif digits_2 == "00":  # Two Zero provided
            return num_dic["0"] + separator + num_dic["0"]
        elif digits_2[0] == "0":  # First digit is zero
            return num_dic["0"] + separator + num_dic[digits_2[1]]
        else:  # Both digit provided
            return num_dic[digits_2]

    # For Number less than 9 digits
    def two_digit(digits_2):
        digits_2 = digits_2.lstrip("0")
        if len(digits_2) != 0:
            return num_dic[digits_2]
        else:
            return ""

    def all_digit(digits):
        digits = digits.lstrip("0")
        digit_len = len(digits)
        if digit_len > 3:
            num_of_digits_to_process = (digit_len % 2) + 1
            process_digits = digits[:num_of_digits_to_process]
            base = str(10 ** (int(digit_len / 2) * 2 - 1))
            remain_digits = digits[num_of_digits_to_process:]
            return (
                num_dic[process_digits]
                + combiner
                + num_dic[base]
                + separator
                + all_digit(remain_digits)
            )
        elif len(digits) == 3:
            return (
                num_dic[digits[:1]]
                + combiner
                + num_dic["100"]
                + separator
                + two_digit(digits[1:])
            )
        else:
            return two_digit(digits)

    num = num.lstrip("0")
    full_digit_len = len(num)

    if full_digit_len == 0:
        output = num_dic["0"]
    elif full_digit_len <= 9:
        output = all_digit(num)
    else:
        iteration = round(full_digit_len / 2)
        output = all_two_digit(num[:2])  # First to digit
        for i in range(1, iteration):
            output = (
                output + separator + all_two_digit(num[i * 2 : (i + 1) * 2])
            )  # Next two digit pairs
        remaining_digits = num[iteration * 2 :]
        if not all_two_digit(remaining_digits) == "":
            output = (
                output + separator + all_two_digit(remaining_digits)
            )  # remaining Last one/two digits

    output = output.strip(separator)

    output = language_specific_exception(output, lang, combiner)

    return output


# --------------------------------- num_to_word_on_a_sent ---------------------------------


def is_digit(word, digit_pattern):
    return re.search(digit_pattern, word)


def remove_punct(sent):
    clean = re.sub("[%s]" % re.escape(string.punctuation), " ", sent)
    return " ".join([word for word in clean.split() if word])


def normalize_nums(text, lang):
    """
    text: str (eg)
    lang: lang code ['en', 'hi']

    returns: str
    (eg)
    """

    if lang in supported_lang:
        text = text.replace('-',' - ') # space separate hyphen
        words = text.split()
        lang_digits = [str(i) for i in range(0, 10)]

        digit_pattern = "[" + "".join(lang_digits) + "]"
        num_indices = [
            ind for ind, word in enumerate(words) if is_digit(word, digit_pattern)
        ]

        words_up = [
            num_to_word(word, lang, separator=" ", combiner=" ")
            if ind in num_indices
            else word
            for ind, word in enumerate(words)
        ]
        return " ".join(words_up)
    else:
        return text


if __name__ == "__main__":
    print(normalize_nums("रीटा के पास 16 बिल्लियाँ हैं।", "hi"))