155 lines
4.3 KiB
Python
155 lines
4.3 KiB
Python
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import enum
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from collections import OrderedDict
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from typing import Dict
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from lingua import Language
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class Locale(enum.Enum):
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"""Maps {language}_{country} to the name of the langage in said language."""
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en_GB = "English"
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af_ZA = "Afrikaans"
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an_ES = "Aragonés"
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ar_SA = "العربية"
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as_IN = "অসমীয়া"
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av_DA = "авар мацӀ"
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az_AZ = "Azərbaycanca"
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be_BY = "Беларуская"
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bg_BG = "български език"
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bn_BD = "বাংলা"
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br_FR = "Brezhoneg"
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bs_BA = "Bosanski"
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ca_ES = "Català, valencià"
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ckb_IR = "کوردی سۆرانی"
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co_FR = "Corsu"
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cs_CZ = "Čeština"
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cv_CU = "чӑваш чӗлхи"
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cy_GB = "Cymraeg"
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da_DK = "Dansk"
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de_DE = "Deutsch"
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el_GR = "Ελληνικά"
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en_US = "English (US)"
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eo_UY = "Esperanto"
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es_ES = "Español"
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et_EE = "Eesti keel"
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eu_ES = "Euskara"
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fa_IR = "فارسی"
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fi_FI = "Suomen kieli"
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fo_FO = "Føroyskt"
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fr_FR = "Français"
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frp_IT = "Arpitan"
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fy_NL = "Frysk"
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ga_IE = "Gaeilge"
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gd_GB = "Gàidhlig"
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gl_ES = "Galego"
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gsw_CH = "Schwizerdütsch"
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gu_IN = "ગુજરાતી"
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he_IL = "עִבְרִית"
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hi_IN = "हिन्दी, हिंदी"
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hr_HR = "Hrvatski"
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hu_HU = "Magyar"
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hy_AM = "Հայերեն"
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ia_IA = "Interlingua"
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id_ID = "Bahasa Indonesia"
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io_EN = "Ido"
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is_IS = "Íslenska"
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it_IT = "Italiano"
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ja_JP = "日本語"
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jbo_EN = "Lojban"
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jv_ID = "Basa Jawa"
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ka_GE = "ქართული"
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kab_DZ = "Taqvaylit"
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kk_KZ = "қазақша"
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kmr_TR = "Kurdî (Kurmancî)"
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kn_IN = "ಕನ್ನಡ"
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ko_KR = "한국어"
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ky_KG = "кыргызча"
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la_LA = "Lingua Latina"
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lb_LU = "Lëtzebuergesch"
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lt_LT = "Lietuvių kalba"
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lv_LV = "Latviešu valoda"
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mg_MG = "Fiteny malagasy"
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mk_MK = "македонски јази"
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ml_IN = "മലയാളം"
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mn_MN = "монгол"
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mr_IN = "मराठी"
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ms_MY = "Melayu"
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nb_NO = "Norsk bokmål"
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ne_NP = "नेपाली"
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nl_NL = "Nederlands"
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nn_NO = "Norsk nynorsk"
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pi_IN = "पालि"
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pl_PL = "Polski"
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ps_AF = "پښتو"
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pt_PT = "Português"
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pt_BR = "Português (BR)"
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ro_RO = "Română"
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ru_RU = "русский язык"
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ry_UA = "Русинська бисїда"
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sa_IN = "संस्कृत"
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sk_SK = "Slovenčina"
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sl_SI = "Slovenščina"
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sq_AL = "Shqip"
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sr_SP = "Српски језик"
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sv_SE = "Svenska"
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sw_KE = "Kiswahili"
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ta_IN = "தமிழ்"
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tg_TJ = "тоҷикӣ"
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th_TH = "ไทย"
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tk_TM = "Türkmençe"
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tl_PH = "Tagalog"
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tp_TP = "Toki pona"
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tr_TR = "Türkçe"
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uk_UA = "українська"
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ur_PK = "اُردُو"
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uz_UZ = "oʻzbekcha"
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vi_VN = "Tiếng Việt"
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yo_NG = "Yorùbá"
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zh_CN = "中文"
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zh_TW = "繁體中文"
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zu_ZA = "isiZulu"
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def locale_to_str(loc: Locale) -> str:
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return loc.name.replace("_", "-")
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# Uses the name of the language (in said language) as the key.
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native_to_locale: OrderedDict[str, Locale] = OrderedDict(
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[(loc.value, loc) for loc in Locale]
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)
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# Uses an inferred/detected language as the key. Mapping was manually created
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# using https://github.com/pemistahl/lingua-rs/blob/main/src/isocode.rs#L40 as
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# a reference.
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lang_to_locale: Dict[Language, Locale] = {
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Language.CHINESE: Locale.zh_CN,
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Language.CROATIAN: Locale.hr_HR,
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Language.DANISH: Locale.da_DK,
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Language.DUTCH: Locale.nl_NL,
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Language.ENGLISH: Locale.en_GB,
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Language.FINNISH: Locale.fi_FI,
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Language.FRENCH: Locale.fr_FR,
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Language.GERMAN: Locale.de_DE,
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Language.HUNGARIAN: Locale.hu_HU,
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Language.ITALIAN: Locale.it_IT,
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Language.KOREAN: Locale.ko_KR,
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Language.LATIN: Locale.la_LA,
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Language.MALAY: Locale.ms_MY,
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Language.PERSIAN: Locale.fa_IR,
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Language.POLISH: Locale.pl_PL,
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Language.PORTUGUESE: Locale.pt_PT,
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Language.ROMANIAN: Locale.ro_RO,
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Language.RUSSIAN: Locale.ru_RU,
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Language.SLOVENE: Locale.sl_SI,
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Language.SPANISH: Locale.es_ES,
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Language.SWAHILI: Locale.sw_KE,
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Language.SWEDISH: Locale.sv_SE,
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Language.TAGALOG: Locale.tl_PH,
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Language.TURKISH: Locale.tr_TR,
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Language.UKRAINIAN: Locale.uk_UA,
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Language.VIETNAMESE: Locale.vi_VN,
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Language.YORUBA: Locale.yo_NG,
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}
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