import pynini
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from fun_text_processing.text_normalization.en.graph_utils import DAMO_CHAR, GraphFst, delete_space
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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 { integer_part: "12" morphosyntactic_features: "," fractional_part: "05" currency: "$" } -> $12,05
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Args:
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decimal: DecimalFst
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"""
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def __init__(self, decimal: GraphFst):
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super().__init__(name="money", kind="verbalize")
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unit = (
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pynutil.delete("currency:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_CHAR - " ", 1)
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+ pynutil.delete('"')
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)
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graph = unit + delete_space + decimal.numbers
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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