chore: import upstream snapshot with attribution
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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import GraphFst
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from fun_text_processing.text_normalization.ru.alphabet import RU_ALPHA
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from pynini.lib import pynutil
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class MoneyFst(GraphFst):
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"""
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Finite state transducer for verbalizing money, e.g.
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money { "пять рублей" } -> пять рублей
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Args:
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deterministic: if True will provide a single transduction option,
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for False multiple transduction are generated (used for audio-based normalization)
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="money", kind="verbalize", deterministic=deterministic)
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graph = pynini.closure(RU_ALPHA | " ")
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delete_tokens = self.delete_tokens(
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pynutil.delete('integer_part: "') + graph + pynutil.delete('"')
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)
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self.fst = delete_tokens.optimize()
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