import pynini
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from fun_text_processing.inverse_text_normalization.id.graph_utils import (
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DAMO_CHAR,
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DAMO_DIGIT,
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GraphFst,
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delete_space,
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insert_space,
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)
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from pynini.lib import pynutil
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|
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class TimeFst(GraphFst):
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"""
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Finite state transducer for verbalizing time, e.g.
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time { hours: "12" minutes: "30" } -> 12:30
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time { hours: "1" minutes: "12" } -> 01:12
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time { hours: "2" suffix: "a.m." } -> 02:00 a.m.
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"""
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def __init__(self):
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super().__init__(name="time", kind="verbalize")
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add_leading_zero_to_double_digit = (DAMO_DIGIT + DAMO_DIGIT) | (pynutil.insert("0") + DAMO_DIGIT)
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hour = (
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pynutil.delete("hours:")
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+ delete_space
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+ pynutil.delete("\"")
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+ pynini.closure(DAMO_DIGIT, 1)
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+ pynutil.delete("\"")
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)
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minute = (
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pynutil.delete("minutes:")
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+ delete_space
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+ pynutil.delete("\"")
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+ pynini.closure(DAMO_DIGIT, 1)
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+ pynutil.delete("\"")
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)
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suffix = (
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delete_space
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+ insert_space
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+ pynutil.delete("suffix:")
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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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optional_suffix = pynini.closure(suffix, 0, 1)
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zone = (
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delete_space
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+ insert_space
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+ pynutil.delete("zone:")
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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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optional_zone = pynini.closure(zone, 0, 1)
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graph = (
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hour @ add_leading_zero_to_double_digit
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+ delete_space
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+ pynutil.insert(":")
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+ (minute @ add_leading_zero_to_double_digit)
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+ optional_suffix
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+ optional_zone
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)
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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