import pynini
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from fun_text_processing.inverse_text_normalization.ja.graph_utils import (
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DAMO_NOT_QUOTE,
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DAMO_SIGMA,
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GraphFst,
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delete_space,
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)
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from pynini.lib import pynutil
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class OrdinalFst(GraphFst):
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"""
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Finite state transducer for verbalizing ordinal, e.g.
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ordinal { integer: "13" } -> 13th
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"""
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def __init__(self):
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super().__init__(name="ordinal", kind="verbalize")
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# convert_rest = pynutil.insert("第", weight=0.01)
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graph = (
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pynutil.delete("integer:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynutil.insert("第", weight=0.01)
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# + DAMO_NOT_QUOTE
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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# convert_hundred = pynini.cross("第百", "第100")
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# convert_eleven = pynini.cross("11", "十一")
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# convert_twelve = pynini.cross("12", "十二")
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# convert_thirteen = pynini.cross("13", "第十三")
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# convert_one = pynini.cross("1", "第一")
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# convert_two = pynini.cross("2", "第二")
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# convert_three = pynini.cross("3", "第三")
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# suffix = pynini.cdrewrite(
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# convert_hundred
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# # convert_eleven
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# # | convert_twelve
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# # | convert_thirteen
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# # | convert_one
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# # | convert_two
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# # | convert_three,
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# "",
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# "[EOS]",
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# DAMO_SIGMA,
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# )
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# graph = graph @ suffix
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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