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update unittest to pass 'make test'
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@ -42,7 +42,8 @@ TEST(TextRankExtractorTest, Test1) {
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size_t topN = 5;
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Extractor.Extract(s, wordweights, topN);
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res << wordweights;
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ASSERT_EQ(res, "[{\"word\": \"专业\", \"offset\": [36], \"weight\": 1}, {\"word\": \"CEO\", \"offset\": [94], \"weight\": 0.95375}, {\"word\": \"手扶拖拉机\", \"offset\": [21], \"weight\": 0.801701}, {\"word\": \"当上\", \"offset\": [87], \"weight\": 0.798968}, {\"word\": \"走上\", \"offset\": [100], \"weight\": 0.775505}]");
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ASSERT_EQ(res, "[{\"word\": \"当上\", \"offset\": [87], \"weight\": 1}, {\"word\": \"不用\", \"offset\": [48], \"weight\": 0.989848}, {\"word\": \"多久\", \"offset\": [54], \"weight\": 0.985126}, {\"word\": \"加薪\", \"offset\": [78], \"weight\": 0.983046}, {\"word\": \"升职\", \"offset\": [72], \"weight\": 0.980278}]");
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//ASSERT_EQ(res, "[{\"word\": \"专业\", \"offset\": [36], \"weight\": 1}, {\"word\": \"CEO\", \"offset\": [94], \"weight\": 0.95375}, {\"word\": \"手扶拖拉机\", \"offset\": [21], \"weight\": 0.801701}, {\"word\": \"当上\", \"offset\": [87], \"weight\": 0.798968}, {\"word\": \"走上\", \"offset\": [100], \"weight\": 0.775505}]");
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}
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{
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