# 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.inverse_text_normalization.de.verbalizers.verbalize import VerbalizeFst
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from fun_text_processing.inverse_text_normalization.en.verbalizers.word import WordFst
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from fun_text_processing.text_normalization.en.graph_utils import GraphFst, delete_extra_space, delete_space
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from pynini.lib import pynutil
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class VerbalizeFinalFst(GraphFst):
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"""
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Finite state transducer that verbalizes an entire sentence, e.g.
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tokens { name: "jetzt" } tokens { name: "ist" } tokens { time { hours: "12" minutes: "30" } } -> jetzt ist 12:30 Uhr
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"""
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def __init__(self, deterministic: bool = True):
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super().__init__(name="verbalize_final", kind="verbalize", deterministic=deterministic)
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verbalize = VerbalizeFst().fst
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word = WordFst().fst
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types = verbalize | word
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graph = (
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pynutil.delete("tokens")
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+ delete_space
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+ pynutil.delete("{")
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+ delete_space
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+ types
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+ delete_space
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+ pynutil.delete("}")
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)
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graph = delete_space + pynini.closure(graph + delete_extra_space) + graph + delete_space
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self.fst = graph
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