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eval.go

Reviewed

··· 481 481 // bytes should work fine, as we're just computing a ratio. 482 482 fileLength := float64(d.boundaries[doc+1] - d.boundaries[doc]) 483 483 numFiles := len(d.boundaries) 484 484 - averageFileLength := float64(d.boundaries[numFiles - 1]) / float64(numFiles) 484 484 + averageFileLength := float64(d.boundaries[numFiles-1]) / float64(numFiles) 485 485 L := fileLength / averageFileLength 486 486 487 487 // Use standard parameter defaults (used in Lucene and academic papers) ··· 491 491 for _, freq := range termFreqs { 492 492 tf := float64(freq) 493 493 sumTf += tf 494 494 - score += ((k + 1.0) * tf) / (k * (1.0 - b + b * L) + tf) 494 494 + score += ((k + 1.0) * tf) / (k*(1.0-b+b*L) + tf) 495 495 } 496 496 497 497 fileMatch.addKeywordScore(score, sumTf, L, opts.DebugScore)

+2 -2

eval_test.go

Reviewed

··· 370 370 } 371 371 372 372 want := map[string][]string{ 373 373 - "f1": []string{"foo", "quz"}, 374 374 - "f2": []string{"foo", "foo-2"}, 373 373 + "f1": {"foo", "quz"}, 374 374 + "f2": {"foo", "foo-2"}, 375 375 } 376 376 377 377 if len(sr.Files) != 2 {