| /* |
| * Copyright (C) 2017 The Android Open Source Project |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| #include "smartselect/token-feature-extractor.h" |
| |
| #include "gmock/gmock.h" |
| #include "gtest/gtest.h" |
| |
| namespace libtextclassifier { |
| namespace { |
| |
| class TestingTokenFeatureExtractor : public TokenFeatureExtractor { |
| public: |
| using TokenFeatureExtractor::TokenFeatureExtractor; |
| using TokenFeatureExtractor::HashToken; |
| }; |
| |
| TEST(TokenFeatureExtractorTest, ExtractAscii) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2, 3}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = false; |
| options.extract_selection_mask_feature = true; |
| TestingTokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| |
| extractor.Extract(Token{"Hello", 0, 5}, true, &sparse_features, |
| &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({ |
| // clang-format off |
| extractor.HashToken("H"), |
| extractor.HashToken("e"), |
| extractor.HashToken("l"), |
| extractor.HashToken("l"), |
| extractor.HashToken("o"), |
| extractor.HashToken("^H"), |
| extractor.HashToken("He"), |
| extractor.HashToken("el"), |
| extractor.HashToken("ll"), |
| extractor.HashToken("lo"), |
| extractor.HashToken("o$"), |
| extractor.HashToken("^He"), |
| extractor.HashToken("Hel"), |
| extractor.HashToken("ell"), |
| extractor.HashToken("llo"), |
| extractor.HashToken("lo$") |
| // clang-format on |
| })); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0})); |
| |
| sparse_features.clear(); |
| dense_features.clear(); |
| extractor.Extract(Token{"world!", 23, 29}, false, &sparse_features, |
| &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({ |
| // clang-format off |
| extractor.HashToken("w"), |
| extractor.HashToken("o"), |
| extractor.HashToken("r"), |
| extractor.HashToken("l"), |
| extractor.HashToken("d"), |
| extractor.HashToken("!"), |
| extractor.HashToken("^w"), |
| extractor.HashToken("wo"), |
| extractor.HashToken("or"), |
| extractor.HashToken("rl"), |
| extractor.HashToken("ld"), |
| extractor.HashToken("d!"), |
| extractor.HashToken("!$"), |
| extractor.HashToken("^wo"), |
| extractor.HashToken("wor"), |
| extractor.HashToken("orl"), |
| extractor.HashToken("rld"), |
| extractor.HashToken("ld!"), |
| extractor.HashToken("d!$"), |
| // clang-format on |
| })); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, 0.0})); |
| } |
| |
| TEST(TokenFeatureExtractorTest, ExtractUnicode) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2, 3}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = true; |
| options.extract_selection_mask_feature = true; |
| TestingTokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| |
| extractor.Extract(Token{"Hělló", 0, 5}, true, &sparse_features, |
| &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({ |
| // clang-format off |
| extractor.HashToken("H"), |
| extractor.HashToken("ě"), |
| extractor.HashToken("l"), |
| extractor.HashToken("l"), |
| extractor.HashToken("ó"), |
| extractor.HashToken("^H"), |
| extractor.HashToken("Hě"), |
| extractor.HashToken("ěl"), |
| extractor.HashToken("ll"), |
| extractor.HashToken("ló"), |
| extractor.HashToken("ó$"), |
| extractor.HashToken("^Hě"), |
| extractor.HashToken("Hěl"), |
| extractor.HashToken("ěll"), |
| extractor.HashToken("lló"), |
| extractor.HashToken("ló$") |
| // clang-format on |
| })); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0})); |
| |
| sparse_features.clear(); |
| dense_features.clear(); |
| extractor.Extract(Token{"world!", 23, 29}, false, &sparse_features, |
| &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({ |
| // clang-format off |
| extractor.HashToken("w"), |
| extractor.HashToken("o"), |
| extractor.HashToken("r"), |
| extractor.HashToken("l"), |
| extractor.HashToken("d"), |
| extractor.HashToken("!"), |
| extractor.HashToken("^w"), |
| extractor.HashToken("wo"), |
| extractor.HashToken("or"), |
| extractor.HashToken("rl"), |
| extractor.HashToken("ld"), |
| extractor.HashToken("d!"), |
| extractor.HashToken("!$"), |
| extractor.HashToken("^wo"), |
| extractor.HashToken("wor"), |
| extractor.HashToken("orl"), |
| extractor.HashToken("rld"), |
| extractor.HashToken("ld!"), |
| extractor.HashToken("d!$"), |
| // clang-format on |
| })); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, -1.0})); |
| } |
| |
| TEST(TokenFeatureExtractorTest, ICUCaseFeature) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = true; |
| options.extract_selection_mask_feature = false; |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"Hělló", 0, 5}, true, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0})); |
| |
| sparse_features.clear(); |
| dense_features.clear(); |
| extractor.Extract(Token{"world!", 23, 29}, false, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0})); |
| |
| sparse_features.clear(); |
| dense_features.clear(); |
| extractor.Extract(Token{"Ř", 23, 29}, false, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0})); |
| |
| sparse_features.clear(); |
| dense_features.clear(); |
| extractor.Extract(Token{"ř", 23, 29}, false, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0})); |
| } |
| |
| TEST(TokenFeatureExtractorTest, DigitRemapping) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.remap_digits = true; |
| options.unicode_aware_features = false; |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"9:30am", 0, 6}, true, &sparse_features, |
| &dense_features); |
| |
| std::vector<int> sparse_features2; |
| extractor.Extract(Token{"5:32am", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, testing::ElementsAreArray(sparse_features2)); |
| |
| extractor.Extract(Token{"10:32am", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, |
| testing::Not(testing::ElementsAreArray(sparse_features2))); |
| } |
| |
| TEST(TokenFeatureExtractorTest, DigitRemappingUnicode) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.remap_digits = true; |
| options.unicode_aware_features = true; |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"9:30am", 0, 6}, true, &sparse_features, |
| &dense_features); |
| |
| std::vector<int> sparse_features2; |
| extractor.Extract(Token{"5:32am", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, testing::ElementsAreArray(sparse_features2)); |
| |
| extractor.Extract(Token{"10:32am", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, |
| testing::Not(testing::ElementsAreArray(sparse_features2))); |
| } |
| |
| TEST(TokenFeatureExtractorTest, LowercaseAscii) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.lowercase_tokens = true; |
| options.unicode_aware_features = false; |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"AABB", 0, 6}, true, &sparse_features, |
| &dense_features); |
| |
| std::vector<int> sparse_features2; |
| extractor.Extract(Token{"aaBB", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, testing::ElementsAreArray(sparse_features2)); |
| |
| extractor.Extract(Token{"aAbB", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, testing::ElementsAreArray(sparse_features2)); |
| } |
| |
| TEST(TokenFeatureExtractorTest, LowercaseUnicode) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.lowercase_tokens = true; |
| options.unicode_aware_features = true; |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"ŘŘ", 0, 6}, true, &sparse_features, &dense_features); |
| |
| std::vector<int> sparse_features2; |
| extractor.Extract(Token{"řř", 0, 6}, true, &sparse_features2, |
| &dense_features); |
| EXPECT_THAT(sparse_features, testing::ElementsAreArray(sparse_features2)); |
| } |
| |
| TEST(TokenFeatureExtractorTest, RegexFeatures) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.remap_digits = false; |
| options.unicode_aware_features = false; |
| options.regexp_features.push_back("^[a-z]+$"); // all lower case. |
| options.regexp_features.push_back("^[0-9]+$"); // all digits. |
| TokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"abCde", 0, 6}, true, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, -1.0})); |
| |
| dense_features.clear(); |
| extractor.Extract(Token{"abcde", 0, 6}, true, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, -1.0})); |
| |
| dense_features.clear(); |
| extractor.Extract(Token{"12c45", 0, 6}, true, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, -1.0})); |
| |
| dense_features.clear(); |
| extractor.Extract(Token{"12345", 0, 6}, true, &sparse_features, |
| &dense_features); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, 1.0})); |
| } |
| |
| TEST(TokenFeatureExtractorTest, ExtractTooLongWord) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{22}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = true; |
| options.extract_selection_mask_feature = true; |
| TestingTokenFeatureExtractor extractor(options); |
| |
| // Test that this runs. ASAN should catch problems. |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| extractor.Extract(Token{"abcdefghijklmnopqřstuvwxyz", 0, 0}, true, |
| &sparse_features, &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({ |
| // clang-format off |
| extractor.HashToken("^abcdefghij\1qřstuvwxyz"), |
| extractor.HashToken("abcdefghij\1qřstuvwxyz$"), |
| // clang-format on |
| })); |
| } |
| |
| TEST(TokenFeatureExtractorTest, ExtractAsciiUnicodeMatches) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2, 3, 4, 5}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = true; |
| options.extract_selection_mask_feature = true; |
| TestingTokenFeatureExtractor extractor_unicode(options); |
| |
| options.unicode_aware_features = false; |
| TestingTokenFeatureExtractor extractor_ascii(options); |
| |
| for (const std::string& input : |
| {"https://www.abcdefgh.com/in/xxxkkkvayio", |
| "https://www.fjsidofj.om/xx/abadfy/xxxx/?xfjiis=ffffiijiihil", |
| "asdfhasdofjiasdofj#%()*%#*(aisdojfaosdifjiaofjdsiofjdi_fdis3w", "abcd", |
| "x", "Hello", "Hey,", "Hi", ""}) { |
| std::vector<int> sparse_features_unicode; |
| std::vector<float> dense_features_unicode; |
| extractor_unicode.Extract(Token{input, 0, 0}, true, |
| &sparse_features_unicode, |
| &dense_features_unicode); |
| |
| std::vector<int> sparse_features_ascii; |
| std::vector<float> dense_features_ascii; |
| extractor_ascii.Extract(Token{input, 0, 0}, true, &sparse_features_ascii, |
| &dense_features_ascii); |
| |
| EXPECT_THAT(sparse_features_unicode, sparse_features_ascii) << input; |
| EXPECT_THAT(dense_features_unicode, dense_features_ascii) << input; |
| } |
| } |
| |
| TEST(TokenFeatureExtractorTest, ExtractForPadToken) { |
| TokenFeatureExtractorOptions options; |
| options.num_buckets = 1000; |
| options.chargram_orders = std::vector<int>{1, 2}; |
| options.extract_case_feature = true; |
| options.unicode_aware_features = false; |
| options.extract_selection_mask_feature = true; |
| |
| TestingTokenFeatureExtractor extractor(options); |
| |
| std::vector<int> sparse_features; |
| std::vector<float> dense_features; |
| |
| extractor.Extract(Token(), false, &sparse_features, &dense_features); |
| |
| EXPECT_THAT(sparse_features, |
| testing::ElementsAreArray({extractor.HashToken("<PAD>")})); |
| EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, 0.0})); |
| } |
| |
| } // namespace |
| } // namespace libtextclassifier |
