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Add tests for Damerau Levenshtein algorithm (#2407)
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damerau-levenshtein_test.go
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66
damerau-levenshtein_test.go
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/*
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* Minio Cloud Storage, (C) 2016 Minio, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package main
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import (
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"math"
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"testing"
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)
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// Test minimum function which calculates the minimal value in a list of integers
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func TestMinimum(t *testing.T) {
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type testCase struct {
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listval []int
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expected int
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pass bool
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}
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testCases := []testCase{
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{listval: []int{3, 4, 15}, expected: 3},
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{listval: []int{}, expected: math.MaxInt32},
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}
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// Validate all the test cases.
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for i, tt := range testCases {
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val := minimum(tt.listval)
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if val != tt.expected {
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t.Errorf("Test %d:, Expected %d, got %d", i+1, tt.expected, val)
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}
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}
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}
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// Test DamerauLevenshtein which calculates the difference distance between two words
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func TestDamerauLevenshtein(t *testing.T) {
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type testCase struct {
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word1 string
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word2 string
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distance int
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}
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testCases := []testCase{
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{word1: "", word2: "", distance: 0},
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{word1: "a", word2: "a", distance: 0},
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{word1: "a", word2: "b", distance: 1},
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{word1: "rm", word2: "tm", distance: 1},
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{word1: "version", word2: "evrsion", distance: 1},
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{word1: "version", word2: "bersio", distance: 2},
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}
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// Validate all the test cases.
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for i, tt := range testCases {
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d := DamerauLevenshteinDistance(tt.word1, tt.word2)
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if d != tt.distance {
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t.Errorf("Test %d:, Expected %d, got %d", i+1, tt.distance, d)
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}
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}
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}
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