public void WordLevensteinAlgorithm_ShouldWork_CustomCharacterSimiarityResolver() { var resolver = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.CaseSensitive); resolver.SetMistakeSimilarity('m', 'n', 0.8f); resolver.SetMistakeSimilarity('o', 'u', 0.7f); resolver.SetMistakeSimilarity('i', 'y', 0.8f); resolver.SetMistakeSimilarity('c', 'k', 0.6f); resolver.SetMistakeSimilarity('X', 'A', 0.9f); var algorithm = new LevensteinAlgorithm <Word, char>(resolver); AreSimilar(algorithm, "XXXXX", "AAAAA"); NotSimilar(algorithm, "xxxxx", "aaaaa"); AreSimilar(algorithm, "Mehran", "Nehran"); NotSimilar(algorithm, "MEHRAN", "mehran"); AreSimilar(algorithm, "Afshin", "Aphshin"); AreSimilar(algorithm, "Mehran", "Nahran"); AreSimilar(algorithm, "Monica", "Monika"); AreSimilar(algorithm, "Nonica", "Nomika"); AreSimilar(algorithm, "Crespo", "Krespo"); NotSimilar(algorithm, "Mehran", "RamMeh"); NotSimilar(algorithm, "Penalty", "People"); AreSimilar(algorithm, "Monica", "Numyka"); NotSimilar(algorithm, "Monica", "NUmYkA"); }
public void CharacterMistakeBased_ShouldWork_NotCaseSensitive() { var simila = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.None); Assert.AreEqual(simila.GetSimilarity('a', 'a'), 1); Assert.AreEqual(simila.GetSimilarity('A', 'a'), 1); Assert.AreEqual(simila.GetSimilarity('a', 'A'), 1); Assert.AreEqual(simila.GetSimilarity('a', 'b'), 0); Assert.AreEqual(simila.GetSimilarity('a', 'B'), 0); }
public void CharacterMistakeBased_ShouldWork_Raw_CaseSensitive() { var simila = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.CaseSensitive); Assert.AreEqual(1, simila.GetSimilarity('a', 'a'), "'a', 'a'"); Assert.AreEqual(0, simila.GetSimilarity('A', 'a'), "'A', 'a'"); Assert.AreEqual(0, simila.GetSimilarity('a', 'A'), "'a', 'A'"); Assert.AreEqual(0, simila.GetSimilarity('a', 'b'), "'a', 'b'"); Assert.AreEqual(0, simila.GetSimilarity('a', 'B'), "'a', 'B'"); Assert.AreEqual(0, simila.GetSimilarity('c', 'k'), "'c', 'k'"); }
public void CharacterMistakeBased_ShouldWork_WithEmptyAndNumericInputs() { var simila = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.None) { CostOfNumeric = 0.3f }; Assert.AreEqual(0f, simila.GetSimilarity('c', 'k')); Assert.AreEqual(0f, simila.GetSimilarity(default(char), 'k')); Assert.AreEqual(0f, simila.GetSimilarity('k', default(char))); Assert.AreEqual(0.3f, simila.GetSimilarity('3', default(char))); Assert.AreEqual(0.3f, simila.GetSimilarity(default(char), '4')); }
public void WordLevensteinAlgorithm_ShouldWork_CustomCharacterSimiarityResolver_NotCaseSensitive() { var resolver = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.None); resolver.SetMistakeSimilarity('m', 'n', 0.8f); resolver.SetMistakeSimilarity('o', 'u', 0.7f); resolver.SetMistakeSimilarity('i', 'y', 0.8f); resolver.SetMistakeSimilarity('c', 'k', 0.6f); resolver.SetMistakeSimilarity('X', 'A', 0.9f); var algorithm = new LevensteinAlgorithm <Word, char>(resolver); AreSimilar(algorithm, "XXXXX", "AAAAA"); AreSimilar(algorithm, "xxxxx", "aaaaa"); AreSimilar(algorithm, "Monica", "Numyka"); AreSimilar(algorithm, "Monica", "NUmYkA"); }
public void CharacterMistakeBased_ShouldWork_DefinedMistakes_NotCaseSensitive() { var simila = new CharacterSimilarityResolverDefault(null, StringComparisonOptions.None); simila.SetMistakeSimilarity('c', 'k', 0.7f); Assert.AreEqual(0, simila.GetSimilarity('a', 'b')); Assert.AreEqual(0, simila.GetSimilarity('a', 'B')); Assert.AreEqual(0.7f, simila.GetSimilarity('c', 'k')); Assert.AreEqual(0.7f, simila.GetSimilarity('k', 'c')); Assert.AreEqual(0.7f, simila.GetSimilarity('c', 'K')); Assert.AreEqual(0.7f, simila.GetSimilarity('K', 'c')); Assert.AreEqual(0.7f, simila.GetSimilarity('C', 'k')); Assert.AreEqual(0.7f, simila.GetSimilarity('k', 'C')); }