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100 lines
3.4 KiB
100 lines
3.4 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 "utils/grammar/analyzer.h"
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#include "utils/grammar/testing/utils.h"
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#include "utils/grammar/types.h"
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#include "utils/grammar/utils/rules.h"
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#include "utils/utf8/unicodetext.h"
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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namespace libtextclassifier3::grammar {
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namespace {
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using ::testing::SizeIs;
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class AnalyzerTest : public GrammarTest {};
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TEST_F(AnalyzerTest, ParsesTextWithGrammar) {
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RulesSetT model;
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// Add semantic values schema.
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model.semantic_values_schema.assign(semantic_values_schema_.buffer().begin(),
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semantic_values_schema_.buffer().end());
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// Define rules and semantics.
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grammar::LocaleShardMap locale_shard_map =
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grammar::LocaleShardMap::CreateLocaleShardMap({""});
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Rules rules(locale_shard_map);
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rules.Add("<month>", {"january"},
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static_cast<CallbackId>(DefaultCallback::kSemanticExpression),
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/*callback_param=*/model.semantic_expression.size());
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model.semantic_expression.push_back(CreatePrimitiveConstExpression(1));
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rules.Add("<month>", {"february"},
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static_cast<CallbackId>(DefaultCallback::kSemanticExpression),
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/*callback_param=*/model.semantic_expression.size());
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model.semantic_expression.push_back(CreatePrimitiveConstExpression(2));
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const int kMonth = 0;
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rules.Add("<month_rule>", {"<month>"},
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static_cast<CallbackId>(DefaultCallback::kRootRule), kMonth);
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rules.Finalize().Serialize(/*include_debug_information=*/false, &model);
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const std::string model_buffer = PackFlatbuffer<RulesSet>(&model);
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Analyzer analyzer(unilib_.get(),
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flatbuffers::GetRoot<RulesSet>(model_buffer.data()));
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{
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auto maybe_results = analyzer.Parse(
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UTF8ToUnicodeText("The month is January 2020", /*do_copy=*/false),
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/*locales=*/{}, &arena_);
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EXPECT_TRUE(maybe_results.ok());
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const std::vector<EvaluatedDerivation> results = maybe_results.ValueOrDie();
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EXPECT_THAT(results, SizeIs(1));
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// Check parse tree.
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EXPECT_THAT(results[0], IsDerivation(kMonth /* rule_id */, 13 /* begin */,
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20 /* end */));
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// Check semantic result.
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EXPECT_EQ(results[0].value->Value<int32>(), 1);
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}
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{
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auto maybe_results =
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analyzer.Parse(UTF8ToUnicodeText("february", /*do_copy=*/false),
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/*locales=*/{}, &arena_);
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EXPECT_TRUE(maybe_results.ok());
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const std::vector<EvaluatedDerivation> results = maybe_results.ValueOrDie();
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EXPECT_THAT(results, SizeIs(1));
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// Check parse tree.
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EXPECT_THAT(results[0],
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IsDerivation(kMonth /* rule_id */, 0 /* begin */, 8 /* end */));
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// Check semantic result.
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EXPECT_EQ(results[0].value->Value<int32>(), 2);
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}
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}
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} // namespace
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} // namespace libtextclassifier3::grammar
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