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* ref: refactor Levenshtein distance implementation - Rewrite the original levenshtein distance implementation in functional style - Add optimized version of levenshtein distance * ref: make `LevenshteinDistance` class a proper utility * ref: remove duplicated test data * ref: update tests --- Co-authored-by: Piotr Idzik <65706193+vil02@users.noreply.github.com>
46 lines
1.7 KiB
Java
46 lines
1.7 KiB
Java
package com.thealgorithms.dynamicprogramming;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import java.util.Arrays;
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import java.util.List;
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import java.util.function.ToIntBiFunction;
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import java.util.stream.Stream;
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import org.junit.jupiter.params.ParameterizedTest;
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import org.junit.jupiter.params.provider.Arguments;
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import org.junit.jupiter.params.provider.MethodSource;
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public class LevenshteinDistanceTests {
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@ParameterizedTest
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@MethodSource("testCases")
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public void testLevenshteinDistance(final int expected, final String str1, final String str2, final ToIntBiFunction<String, String> dist) {
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assertEquals(expected, dist.applyAsInt(str1, str2));
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assertEquals(expected, dist.applyAsInt(str2, str1));
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assertEquals(0, dist.applyAsInt(str1, str1));
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assertEquals(0, dist.applyAsInt(str2, str2));
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}
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private static Stream<Arguments> testCases() {
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final Object[][] testData = {
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{0, "", ""},
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{0, "Hello, World!", "Hello, World!"},
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{4, "", "Rust"},
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{3, "horse", "ros"},
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{6, "tan", "elephant"},
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{8, "execute", "intention"},
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{1, "a", "b"},
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{1, "a", "aa"},
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{1, "a", ""},
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{1, "a", "ab"},
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{1, "a", "ba"},
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{2, "a", "bc"},
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{2, "a", "cb"},
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};
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final List<ToIntBiFunction<String, String>> methods = Arrays.asList(LevenshteinDistance::naiveLevenshteinDistance, LevenshteinDistance::optimizedLevenshteinDistance);
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return Stream.of(testData).flatMap(input -> methods.stream().map(method -> Arguments.of(input[0], input[1], input[2], method)));
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}
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}
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