/*
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* Copyright (C) 2018 The Android Open Source Project
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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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*/
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#ifndef NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_
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#define NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_
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#include <string>
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#include <vector>
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namespace libtextclassifier3 {
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namespace mobile {
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namespace lang_id {
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// Very simplified alternative to heavy sentence.proto, for the purpose of
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// LangId. It turns out that in this case, all we need is a vector of strings,
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// which uses a lot less code size than a Sentence proto.
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using LightSentence = std::vector<string>;
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} // namespace lang_id
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} // namespace mobile
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} // namespace nlp_saft
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#endif // NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_
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