# 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_NOT_QUOTE,
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GraphFst,
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delete_extra_space,
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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 DateFst(GraphFst):
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"""
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Finite state transducer for verbalizing date, e.g.
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date { day: "1" month: "enero" preserve_order: true } -> 1 de enero
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"""
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def __init__(self):
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super().__init__(name="date", kind="verbalize")
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month = (
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pynutil.delete("month:")
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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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day = (
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pynutil.delete("day:")
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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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year = (
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pynutil.delete("year:")
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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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# day month
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graph_dmy = (
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day
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+ delete_extra_space
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+ pynutil.insert("de")
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+ insert_space
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+ month
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+ (delete_extra_space + pynutil.insert("de") + insert_space + year).ques
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)
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graph_dmy |= (
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day
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+ delete_space
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+ pynutil.insert("/")
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+ month
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+ pynutil.delete(" morphosyntactic_features: \"/\"")
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+ (delete_space + pynutil.insert("/") + year).ques
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)
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optional_preserve_order = pynini.closure(
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pynutil.delete("preserve_order:") + delete_space + pynutil.delete("true") + delete_space
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| pynutil.delete("field_order:")
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+ delete_space
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+ pynutil.delete("\"")
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+ DAMO_NOT_QUOTE
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+ pynutil.delete("\"")
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+ delete_space
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)
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final_graph = graph_dmy + delete_space + optional_preserve_order
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delete_tokens = self.delete_tokens(final_graph)
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self.fst = delete_tokens.optimize()
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