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68 lines
2.6 KiB
68 lines
2.6 KiB
4 months ago
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/*
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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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#include "annotator/grammar/utils.h"
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#include "utils/grammar/utils/rules.h"
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namespace libtextclassifier3 {
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namespace {
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using ::libtextclassifier3::GrammarModel_::RuleClassificationResultT;
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} // namespace
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Tokenizer BuildTokenizer(const UniLib* unilib,
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const GrammarTokenizerOptions* options) {
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TC3_CHECK(options != nullptr);
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std::vector<const TokenizationCodepointRange*> codepoint_config;
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if (options->tokenization_codepoint_config() != nullptr) {
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codepoint_config.insert(codepoint_config.end(),
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options->tokenization_codepoint_config()->begin(),
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options->tokenization_codepoint_config()->end());
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}
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std::vector<const CodepointRange*> internal_codepoint_config;
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if (options->internal_tokenizer_codepoint_ranges() != nullptr) {
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internal_codepoint_config.insert(
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internal_codepoint_config.end(),
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options->internal_tokenizer_codepoint_ranges()->begin(),
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options->internal_tokenizer_codepoint_ranges()->end());
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}
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const bool tokenize_on_script_change =
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options->tokenization_codepoint_config() != nullptr &&
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options->tokenize_on_script_change();
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return Tokenizer(options->tokenization_type(), unilib, codepoint_config,
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internal_codepoint_config, tokenize_on_script_change,
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/*icu_preserve_whitespace_tokens=*/false);
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}
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int AddRuleClassificationResult(const std::string& collection,
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const ModeFlag& enabled_modes,
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float priority_score, GrammarModelT* model) {
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const int result_id = model->rule_classification_result.size();
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model->rule_classification_result.emplace_back(new RuleClassificationResultT);
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RuleClassificationResultT* result =
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model->rule_classification_result.back().get();
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result->collection_name = collection;
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result->enabled_modes = enabled_modes;
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result->priority_score = priority_score;
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return result_id;
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}
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} // namespace libtextclassifier3
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