# 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 DAMO_NOT_QUOTE, GraphFst, delete_space
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from pynini.lib import pynutil
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class OrdinalFst(GraphFst):
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"""
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Finite state transducer for verbalizing ordinal, e.g.
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ordinal { integer: "13" morphosyntactic_features: "o" } -> 13.º
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"""
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def __init__(self):
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super().__init__(name="ordinal", kind="verbalize")
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graph = (
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pynutil.delete("integer:")
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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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replace_suffix = pynini.union(
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pynini.cross(" morphosyntactic_features: \"o\"", ".º"),
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pynini.cross(" morphosyntactic_features: \"a\"", ".ª"),
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pynini.cross(" morphosyntactic_features: \"er\"", ".ᵉʳ"),
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)
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graph = graph + replace_suffix
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delete_tokens = self.delete_tokens(graph)
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self.fst = delete_tokens.optimize()
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