96 lines
2.6 KiB
Python
96 lines
2.6 KiB
Python
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from ...attrs import LIKE_NUM
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_num_words = [
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"nnooti", # Zero
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"zeero", # zero
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"emu", # one
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"bbiri", # two
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"ssatu", # three
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"nnya", # four
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"ttaano", # five
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"mukaaga", # six
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"musanvu", # seven
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"munaana", # eight
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"mwenda", # nine
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"kkumi", # ten
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"kkumi n'emu", # eleven
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"kkumi na bbiri", # twelve
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"kkumi na ssatu", # thirteen
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"kkumi na nnya", # forteen
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"kkumi na ttaano", # fifteen
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"kkumi na mukaaga", # sixteen
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"kkumi na musanvu", # seventeen
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"kkumi na munaana", # eighteen
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"kkumi na mwenda", # nineteen
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"amakumi abiri", # twenty
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"amakumi asatu", # thirty
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"amakumi ana", # forty
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"amakumi ataano", # fifty
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"nkaaga", # sixty
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"nsanvu", # seventy
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"kinaana", # eighty
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"kyenda", # ninety
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"kikumi", # hundred
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"lukumi", # thousand
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"kakadde", # million
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"kawumbi", # billion
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"kase", # trillion
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"katabalika", # quadrillion
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"keesedde", # gajillion
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"kafukunya", # bazillion
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"ekisooka", # first
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"ekyokubiri", # second
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"ekyokusatu", # third
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"ekyokuna", # fourth
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"ekyokutaano", # fifith
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"ekyomukaaga", # sixth
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"ekyomusanvu", # seventh
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"eky'omunaana", # eighth
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"ekyomwenda", # nineth
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"ekyekkumi", # tenth
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"ekyekkumi n'ekimu", # eleventh
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"ekyekkumi n'ebibiri", # twelveth
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"ekyekkumi n'ebisatu", # thirteenth
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"ekyekkumi n'ebina", # fourteenth
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"ekyekkumi n'ebitaano", # fifteenth
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"ekyekkumi n'omukaaga", # sixteenth
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"ekyekkumi n'omusanvu", # seventeenth
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"ekyekkumi n'omunaana", # eigteenth
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"ekyekkumi n'omwenda", # nineteenth
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"ekyamakumi abiri", # twentieth
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"ekyamakumi asatu", # thirtieth
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"ekyamakumi ana", # fortieth
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"ekyamakumi ataano", # fiftieth
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"ekyenkaaga", # sixtieth
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"ekyensanvu", # seventieth
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"ekyekinaana", # eightieth
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"ekyekyenda", # ninetieth
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"ekyekikumi", # hundredth
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"ekyolukumi", # thousandth
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"ekyakakadde", # millionth
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"ekyakawumbi", # billionth
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"ekyakase", # trillionth
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"ekyakatabalika", # quadrillionth
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"ekyakeesedde", # gajillionth
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"ekyakafukunya", # bazillionth
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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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return False
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LEX_ATTRS = {LIKE_NUM: like_num}
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