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e2b70df012
* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
104 lines
1.8 KiB
Python
104 lines
1.8 KiB
Python
from ...attrs import LIKE_NUM
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_num_words = [
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"cero",
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"uno",
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"dos",
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"tres",
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"cuatro",
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"cinco",
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"seis",
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"siete",
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"ocho",
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"nueve",
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"diez",
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"once",
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"doce",
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"trece",
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"catorce",
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"quince",
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"dieciséis",
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"diecisiete",
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"dieciocho",
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"diecinueve",
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"veinte",
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"veintiuno",
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"veintidós",
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"veintitrés",
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"veinticuatro",
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"veinticinco",
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"veintiséis",
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"veintisiete",
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"veintiocho",
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"veintinueve",
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"treinta",
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"cuarenta",
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"cincuenta",
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"sesenta",
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"setenta",
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"ochenta",
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"noventa",
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"cien",
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"mil",
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"millón",
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"billón",
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"trillón",
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]
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_ordinal_words = [
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"primero",
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"segundo",
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"tercero",
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"cuarto",
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"quinto",
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"sexto",
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"séptimo",
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"octavo",
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"noveno",
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"décimo",
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"undécimo",
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"duodécimo",
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"decimotercero",
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"decimocuarto",
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"decimoquinto",
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"decimosexto",
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"decimoséptimo",
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"decimoctavo",
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"decimonoveno",
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"vigésimo",
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"trigésimo",
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"cuadragésimo",
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"quincuagésimo",
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"sexagésimo",
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"septuagésimo",
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"octogésima",
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"nonagésima",
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"centésima",
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"milésima",
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"millonésima",
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"billonésima",
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]
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def like_num(text):
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if text.startswith(("+", "-", "±", "~")):
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text = text[1:]
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text = text.replace(",", "").replace(".", "")
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if text.isdigit():
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return True
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if text.count("/") == 1:
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num, denom = text.split("/")
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if num.isdigit() and denom.isdigit():
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return True
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text_lower = text.lower()
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if text_lower in _num_words:
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return True
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# Check ordinal number
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if text_lower in _ordinal_words:
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return True
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return False
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LEX_ATTRS = {LIKE_NUM: like_num}
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