import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_NOT_QUOTE,
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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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|
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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" morphosyntactic_features: "o" } -> 13º
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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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graph = (
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pynutil.delete("integer:")
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+ delete_space
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+ pynutil.delete('"')
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete('"')
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)
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replace_suffix = pynini.union(
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pynini.cross(' morphosyntactic_features: "o"', "º"),
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pynini.cross(' morphosyntactic_features: "a"', "ª"),
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)
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graph = graph + replace_suffix
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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