# Copyright NeMo (https://github.com/NVIDIA/NeMo). All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pynini
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from fun_text_processing.text_normalization.en.graph_utils import (
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DAMO_DIGIT,
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DAMO_NOT_QUOTE,
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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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class TimeFst(GraphFst):
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"""
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Finite state transducer for verbalizing time,
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e.g. time { hours: "à 1" minutes: "10" } -> à 1:10
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e.g. time { hours: "às 2" minutes: "45" } -> às 2:45
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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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prefix = (
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pynutil.delete("morphosyntactic_features:")
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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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+ delete_space
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+ insert_space
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)
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optional_prefix = pynini.closure(prefix, 0, 1)
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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_NOT_QUOTE, 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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graph = (
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optional_prefix
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+ hour
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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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)
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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