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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import DAMO_NOT_QUOTE, GraphFst, delete_space, insert_space
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from pynini.lib import pynutil
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class TelephoneFst(GraphFst):
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"""
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Finite state transducer for verbalizing telephone numbers, e.g.
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telephone { country_code: "one" number_part: "one two three, one two three, five six seven eight" extension: "one" }
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-> one, one two three, one two three, five six seven eight, one
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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="telephone", kind="verbalize", deterministic=deterministic)
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optional_country_code = pynini.closure(
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pynutil.delete("country_code: \"")
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete("\"")
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+ delete_space
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+ insert_space,
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0,
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1,
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)
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number_part = (
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pynutil.delete("number_part: \"")
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynini.closure(pynutil.add_weight(pynutil.delete(" "), -0.0001), 0, 1)
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+ pynutil.delete("\"")
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)
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optional_extension = pynini.closure(
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delete_space
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+ insert_space
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+ pynutil.delete("extension: \"")
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+ pynini.closure(DAMO_NOT_QUOTE, 1)
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+ pynutil.delete("\""),
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0,
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1,
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)
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graph = optional_country_code + number_part + optional_extension
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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