mirror of
https://github.com/krahets/hello-algo.git
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Translate all code to English (#1836)
* Review the EN heading format. * Fix pythontutor headings. * Fix pythontutor headings. * bug fixes * Fix headings in **/summary.md * Revisit the CN-to-EN translation for Python code using Claude-4.5 * Revisit the CN-to-EN translation for Java code using Claude-4.5 * Revisit the CN-to-EN translation for Cpp code using Claude-4.5. * Fix the dictionary. * Fix cpp code translation for the multipart strings. * Translate Go code to English. * Update workflows to test EN code. * Add EN translation for C. * Add EN translation for CSharp. * Add EN translation for Swift. * Trigger the CI check. * Revert. * Update en/hash_map.md * Add the EN version of Dart code. * Add the EN version of Kotlin code. * Add missing code files. * Add the EN version of JavaScript code. * Add the EN version of TypeScript code. * Fix the workflows. * Add the EN version of Ruby code. * Add the EN version of Rust code. * Update the CI check for the English version code. * Update Python CI check. * Fix cmakelists for en/C code. * Fix Ruby comments
This commit is contained in:
@@ -0,0 +1,38 @@
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// File: bubble_sort.go
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// Created Time: 2022-12-06
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// Author: Slone123c (274325721@qq.com)
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package chapter_sorting
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/* Bubble sort */
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func bubbleSort(nums []int) {
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// Outer loop: unsorted range is [0, i]
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for i := len(nums) - 1; i > 0; i-- {
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// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
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for j := 0; j < i; j++ {
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if nums[j] > nums[j+1] {
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// Swap nums[j] and nums[j + 1]
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nums[j], nums[j+1] = nums[j+1], nums[j]
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}
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}
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}
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}
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/* Bubble sort (flag optimization) */
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func bubbleSortWithFlag(nums []int) {
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// Outer loop: unsorted range is [0, i]
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for i := len(nums) - 1; i > 0; i-- {
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flag := false // Initialize flag
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// Inner loop: swap the largest element in the unsorted range [0, i] to the rightmost end of that range
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for j := 0; j < i; j++ {
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if nums[j] > nums[j+1] {
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// Swap nums[j] and nums[j + 1]
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nums[j], nums[j+1] = nums[j+1], nums[j]
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flag = true // Record element swap
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}
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}
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if flag == false { // No elements were swapped in this round of "bubbling", exit directly
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break
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}
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}
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}
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@@ -0,0 +1,20 @@
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// File: bubble_sort_test.go
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// Created Time: 2022-12-06
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// Author: Slone123c (274325721@qq.com)
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package chapter_sorting
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import (
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"fmt"
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"testing"
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)
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func TestBubbleSort(t *testing.T) {
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nums := []int{4, 1, 3, 1, 5, 2}
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bubbleSort(nums)
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fmt.Println("After bubble sort completes, nums = ", nums)
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nums1 := []int{4, 1, 3, 1, 5, 2}
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bubbleSortWithFlag(nums1)
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fmt.Println("After bubble sort completes, nums1 = ", nums1)
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}
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@@ -0,0 +1,37 @@
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// File: bucket_sort.go
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// Created Time: 2023-03-27
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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import "sort"
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/* Bucket sort */
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func bucketSort(nums []float64) {
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// Initialize k = n/2 buckets, expected to allocate 2 elements per bucket
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k := len(nums) / 2
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buckets := make([][]float64, k)
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for i := 0; i < k; i++ {
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buckets[i] = make([]float64, 0)
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}
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// 1. Distribute array elements into various buckets
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for _, num := range nums {
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// Input data range is [0, 1), use num * k to map to index range [0, k-1]
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i := int(num * float64(k))
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// Add num to bucket i
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buckets[i] = append(buckets[i], num)
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}
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// 2. Sort each bucket
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for i := 0; i < k; i++ {
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// Use built-in slice sorting function, can also be replaced with other sorting algorithms
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sort.Float64s(buckets[i])
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}
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// 3. Traverse buckets to merge results
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i := 0
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for _, bucket := range buckets {
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for _, num := range bucket {
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nums[i] = num
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i++
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}
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}
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}
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@@ -0,0 +1,17 @@
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// File: bucket_sort_test.go
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// Created Time: 2023-03-27
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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import (
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"fmt"
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"testing"
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)
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func TestBucketSort(t *testing.T) {
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// Assume input data is floating point, interval [0, 1)
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nums := []float64{0.49, 0.96, 0.82, 0.09, 0.57, 0.43, 0.91, 0.75, 0.15, 0.37}
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bucketSort(nums)
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fmt.Println("After bucket sort completes, nums = ", nums)
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}
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@@ -0,0 +1,68 @@
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// File: counting_sort.go
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// Created Time: 2023-03-20
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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type CountingSort struct{}
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/* Counting sort */
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// Simple implementation, cannot be used for sorting objects
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func countingSortNaive(nums []int) {
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// 1. Count the maximum element m in the array
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m := 0
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for _, num := range nums {
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if num > m {
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m = num
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}
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}
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// 2. Count the occurrence of each number
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// counter[num] represents the occurrence of num
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counter := make([]int, m+1)
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for _, num := range nums {
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counter[num]++
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}
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// 3. Traverse counter, filling each element back into the original array nums
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for i, num := 0, 0; num < m+1; num++ {
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for j := 0; j < counter[num]; j++ {
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nums[i] = num
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i++
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}
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}
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}
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/* Counting sort */
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// Complete implementation, can sort objects and is a stable sort
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func countingSort(nums []int) {
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// 1. Count the maximum element m in the array
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m := 0
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for _, num := range nums {
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if num > m {
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m = num
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}
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}
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// 2. Count the occurrence of each number
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// counter[num] represents the occurrence of num
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counter := make([]int, m+1)
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for _, num := range nums {
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counter[num]++
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}
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// 3. Calculate the prefix sum of counter, converting "occurrence count" to "tail index"
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// counter[num]-1 is the last index where num appears in res
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for i := 0; i < m; i++ {
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counter[i+1] += counter[i]
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}
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// 4. Traverse nums in reverse order, placing each element into the result array res
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// Initialize the array res to record results
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n := len(nums)
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res := make([]int, n)
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for i := n - 1; i >= 0; i-- {
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num := nums[i]
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// Place num at the corresponding index
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res[counter[num]-1] = num
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// Decrement the prefix sum by 1, getting the next index to place num
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counter[num]--
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}
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// Use result array res to overwrite the original array nums
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copy(nums, res)
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}
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@@ -0,0 +1,20 @@
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// File: counting_sort_test.go
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// Created Time: 2023-03-20
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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import (
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"fmt"
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"testing"
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)
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func TestCountingSort(t *testing.T) {
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nums := []int{1, 0, 1, 2, 0, 4, 0, 2, 2, 4}
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countingSortNaive(nums)
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fmt.Println("After counting sort (cannot sort objects) completes, nums = ", nums)
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nums1 := []int{1, 0, 1, 2, 0, 4, 0, 2, 2, 4}
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countingSort(nums1)
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fmt.Println("After counting sort completes, nums1 = ", nums1)
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}
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@@ -0,0 +1,44 @@
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// File: heap_sort.go
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// Created Time: 2023-05-29
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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/* Heap length is n, start heapifying node i, from top to bottom */
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func siftDown(nums *[]int, n, i int) {
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for true {
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// If node i is largest or indices l, r are out of bounds, no need to continue heapify, break
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l := 2*i + 1
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r := 2*i + 2
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ma := i
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if l < n && (*nums)[l] > (*nums)[ma] {
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ma = l
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}
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if r < n && (*nums)[r] > (*nums)[ma] {
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ma = r
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}
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// Swap two nodes
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if ma == i {
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break
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}
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// Swap two nodes
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(*nums)[i], (*nums)[ma] = (*nums)[ma], (*nums)[i]
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// Loop downwards heapification
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i = ma
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}
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}
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/* Heap sort */
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func heapSort(nums *[]int) {
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// Build heap operation: heapify all nodes except leaves
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for i := len(*nums)/2 - 1; i >= 0; i-- {
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siftDown(nums, len(*nums), i)
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}
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// Extract the largest element from the heap and repeat for n-1 rounds
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for i := len(*nums) - 1; i > 0; i-- {
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// Delete node
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(*nums)[0], (*nums)[i] = (*nums)[i], (*nums)[0]
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// Start heapifying the root node, from top to bottom
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siftDown(nums, i, 0)
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}
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}
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@@ -0,0 +1,16 @@
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// File: heap_sort_test.go
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// Created Time: 2023-05-29
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// Author: Reanon (793584285@qq.com)
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package chapter_sorting
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import (
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"fmt"
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"testing"
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)
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func TestHeapSort(t *testing.T) {
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nums := []int{4, 1, 3, 1, 5, 2}
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heapSort(&nums)
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fmt.Println("After heap sort completes, nums = ", nums)
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}
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@@ -0,0 +1,20 @@
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// File: insertion_sort.go
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// Created Time: 2022-12-12
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// Author: msk397 (machangxinq@gmail.com)
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package chapter_sorting
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/* Insertion sort */
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func insertionSort(nums []int) {
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// Outer loop: sorted interval is [0, i-1]
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for i := 1; i < len(nums); i++ {
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base := nums[i]
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j := i - 1
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// Inner loop: insert base into the correct position within the sorted interval [0, i-1]
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for j >= 0 && nums[j] > base {
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nums[j+1] = nums[j] // Move nums[j] to the right by one position
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j--
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}
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nums[j+1] = base // Assign base to the correct position
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}
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}
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@@ -0,0 +1,16 @@
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// File: insertion_sort_test.go
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// Created Time: 2022-12-12
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// Author: msk397 (machangxinq@gmail.com)
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package chapter_sorting
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import (
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"fmt"
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"testing"
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)
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func TestInsertionSort(t *testing.T) {
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nums := []int{4, 1, 3, 1, 5, 2}
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insertionSort(nums)
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fmt.Println("After insertion sort, nums =", nums)
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}
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@@ -0,0 +1,54 @@
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// File: merge_sort.go
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// Created Time: 2022-12-13
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// Author: msk397 (machangxinq@gmail.com)
|
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package chapter_sorting
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/* Merge left subarray and right subarray */
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func merge(nums []int, left, mid, right int) {
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// Left subarray interval is [left, mid], right subarray interval is [mid+1, right]
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// Create a temporary array tmp to store the merged results
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tmp := make([]int, right-left+1)
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// Initialize the start indices of the left and right subarrays
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i, j, k := left, mid+1, 0
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// While both subarrays still have elements, compare and copy the smaller element into the temporary array
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for i <= mid && j <= right {
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if nums[i] <= nums[j] {
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tmp[k] = nums[i]
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i++
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} else {
|
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tmp[k] = nums[j]
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j++
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}
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k++
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}
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// Copy the remaining elements of the left and right subarrays into the temporary array
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for i <= mid {
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tmp[k] = nums[i]
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i++
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k++
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}
|
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for j <= right {
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tmp[k] = nums[j]
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j++
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k++
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}
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// Copy the elements from the temporary array tmp back to the original array nums at the corresponding interval
|
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for k := 0; k < len(tmp); k++ {
|
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nums[left+k] = tmp[k]
|
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}
|
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}
|
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|
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/* Merge sort */
|
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func mergeSort(nums []int, left, right int) {
|
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// Termination condition
|
||||
if left >= right {
|
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return
|
||||
}
|
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// Divide and conquer stage
|
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mid := left + (right - left) / 2
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mergeSort(nums, left, mid)
|
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mergeSort(nums, mid+1, right)
|
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// Merge stage
|
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merge(nums, left, mid, right)
|
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}
|
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@@ -0,0 +1,16 @@
|
||||
// File: merge_sort_test.go
|
||||
// Created Time: 2022-12-13
|
||||
// Author: msk397 (machangxinq@gmail.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
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import (
|
||||
"fmt"
|
||||
"testing"
|
||||
)
|
||||
|
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func TestMergeSort(t *testing.T) {
|
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nums := []int{7, 3, 2, 6, 0, 1, 5, 4}
|
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mergeSort(nums, 0, len(nums)-1)
|
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fmt.Println("After merge sort completes, nums = ", nums)
|
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}
|
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@@ -0,0 +1,130 @@
|
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// File: quick_sort.go
|
||||
// Created Time: 2022-12-12
|
||||
// Author: msk397 (machangxinq@gmail.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
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// Quick sort
|
||||
type quickSort struct{}
|
||||
|
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// Quick sort (recursion depth optimization)
|
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type quickSortMedian struct{}
|
||||
|
||||
// Quick sort (recursion depth optimization)
|
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type quickSortTailCall struct{}
|
||||
|
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/* Sentinel partition */
|
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func (q *quickSort) partition(nums []int, left, right int) int {
|
||||
// Use nums[left] as the pivot
|
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i, j := left, right
|
||||
for i < j {
|
||||
for i < j && nums[j] >= nums[left] {
|
||||
j-- // Search from right to left for the first element smaller than the pivot
|
||||
}
|
||||
for i < j && nums[i] <= nums[left] {
|
||||
i++ // Search from left to right for the first element greater than the pivot
|
||||
}
|
||||
// Swap elements
|
||||
nums[i], nums[j] = nums[j], nums[i]
|
||||
}
|
||||
// Swap the pivot to the boundary between the two subarrays
|
||||
nums[i], nums[left] = nums[left], nums[i]
|
||||
return i // Return the index of the pivot
|
||||
}
|
||||
|
||||
/* Quick sort */
|
||||
func (q *quickSort) quickSort(nums []int, left, right int) {
|
||||
// Terminate recursion when subarray length is 1
|
||||
if left >= right {
|
||||
return
|
||||
}
|
||||
// Sentinel partition
|
||||
pivot := q.partition(nums, left, right)
|
||||
// Recursively process the left subarray and right subarray
|
||||
q.quickSort(nums, left, pivot-1)
|
||||
q.quickSort(nums, pivot+1, right)
|
||||
}
|
||||
|
||||
/* Select the median of three candidate elements */
|
||||
func (q *quickSortMedian) medianThree(nums []int, left, mid, right int) int {
|
||||
l, m, r := nums[left], nums[mid], nums[right]
|
||||
if (l <= m && m <= r) || (r <= m && m <= l) {
|
||||
return mid // m is between l and r
|
||||
}
|
||||
if (m <= l && l <= r) || (r <= l && l <= m) {
|
||||
return left // l is between m and r
|
||||
}
|
||||
return right
|
||||
}
|
||||
|
||||
/* Sentinel partition (median of three) */
|
||||
func (q *quickSortMedian) partition(nums []int, left, right int) int {
|
||||
// Use nums[left] as the pivot
|
||||
med := q.medianThree(nums, left, (left+right)/2, right)
|
||||
// Swap the median to the array's leftmost position
|
||||
nums[left], nums[med] = nums[med], nums[left]
|
||||
// Use nums[left] as the pivot
|
||||
i, j := left, right
|
||||
for i < j {
|
||||
for i < j && nums[j] >= nums[left] {
|
||||
j-- // Search from right to left for the first element smaller than the pivot
|
||||
}
|
||||
for i < j && nums[i] <= nums[left] {
|
||||
i++ // Search from left to right for the first element greater than the pivot
|
||||
}
|
||||
// Swap elements
|
||||
nums[i], nums[j] = nums[j], nums[i]
|
||||
}
|
||||
// Swap the pivot to the boundary between the two subarrays
|
||||
nums[i], nums[left] = nums[left], nums[i]
|
||||
return i // Return the index of the pivot
|
||||
}
|
||||
|
||||
/* Quick sort */
|
||||
func (q *quickSortMedian) quickSort(nums []int, left, right int) {
|
||||
// Terminate recursion when subarray length is 1
|
||||
if left >= right {
|
||||
return
|
||||
}
|
||||
// Sentinel partition
|
||||
pivot := q.partition(nums, left, right)
|
||||
// Recursively process the left subarray and right subarray
|
||||
q.quickSort(nums, left, pivot-1)
|
||||
q.quickSort(nums, pivot+1, right)
|
||||
}
|
||||
|
||||
/* Sentinel partition */
|
||||
func (q *quickSortTailCall) partition(nums []int, left, right int) int {
|
||||
// Use nums[left] as the pivot
|
||||
i, j := left, right
|
||||
for i < j {
|
||||
for i < j && nums[j] >= nums[left] {
|
||||
j-- // Search from right to left for the first element smaller than the pivot
|
||||
}
|
||||
for i < j && nums[i] <= nums[left] {
|
||||
i++ // Search from left to right for the first element greater than the pivot
|
||||
}
|
||||
// Swap elements
|
||||
nums[i], nums[j] = nums[j], nums[i]
|
||||
}
|
||||
// Swap the pivot to the boundary between the two subarrays
|
||||
nums[i], nums[left] = nums[left], nums[i]
|
||||
return i // Return the index of the pivot
|
||||
}
|
||||
|
||||
/* Quick sort (recursion depth optimization) */
|
||||
func (q *quickSortTailCall) quickSort(nums []int, left, right int) {
|
||||
// Terminate when subarray length is 1
|
||||
for left < right {
|
||||
// Sentinel partition operation
|
||||
pivot := q.partition(nums, left, right)
|
||||
// Perform quick sort on the shorter of the two subarrays
|
||||
if pivot-left < right-pivot {
|
||||
q.quickSort(nums, left, pivot-1) // Recursively sort the left subarray
|
||||
left = pivot + 1 // Remaining unsorted interval is [pivot + 1, right]
|
||||
} else {
|
||||
q.quickSort(nums, pivot+1, right) // Recursively sort the right subarray
|
||||
right = pivot - 1 // Remaining unsorted interval is [left, pivot - 1]
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
// File: quick_sort_test.go
|
||||
// Created Time: 2022-12-12
|
||||
// Author: msk397 (machangxinq@gmail.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"testing"
|
||||
)
|
||||
|
||||
// Quick sort
|
||||
func TestQuickSort(t *testing.T) {
|
||||
q := quickSort{}
|
||||
nums := []int{4, 1, 3, 1, 5, 2}
|
||||
q.quickSort(nums, 0, len(nums)-1)
|
||||
fmt.Println("After quick sort completes, nums = ", nums)
|
||||
}
|
||||
|
||||
// Quick sort (recursion depth optimization)
|
||||
func TestQuickSortMedian(t *testing.T) {
|
||||
q := quickSortMedian{}
|
||||
nums := []int{4, 1, 3, 1, 5, 2}
|
||||
q.quickSort(nums, 0, len(nums)-1)
|
||||
fmt.Println("After quick sort (median pivot optimization), nums = ", nums)
|
||||
}
|
||||
|
||||
// Quick sort (recursion depth optimization)
|
||||
func TestQuickSortTailCall(t *testing.T) {
|
||||
q := quickSortTailCall{}
|
||||
nums := []int{4, 1, 3, 1, 5, 2}
|
||||
q.quickSort(nums, 0, len(nums)-1)
|
||||
fmt.Println("After quick sort (recursion depth optimization), nums = ", nums)
|
||||
}
|
||||
@@ -0,0 +1,60 @@
|
||||
// File: radix_sort.go
|
||||
// Created Time: 2023-01-18
|
||||
// Author: Reanon (793584285@qq.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
||||
import "math"
|
||||
|
||||
/* Get the k-th digit of element num, where exp = 10^(k-1) */
|
||||
func digit(num, exp int) int {
|
||||
// Passing exp instead of k can avoid repeated expensive exponentiation here
|
||||
return (num / exp) % 10
|
||||
}
|
||||
|
||||
/* Counting sort (based on nums k-th digit) */
|
||||
func countingSortDigit(nums []int, exp int) {
|
||||
// Decimal digit range is 0~9, therefore need a bucket array of length 10
|
||||
counter := make([]int, 10)
|
||||
n := len(nums)
|
||||
// Count the occurrence of digits 0~9
|
||||
for i := 0; i < n; i++ {
|
||||
d := digit(nums[i], exp) // Get the k-th digit of nums[i], noted as d
|
||||
counter[d]++ // Count the occurrence of digit d
|
||||
}
|
||||
// Calculate prefix sum, converting "occurrence count" into "array index"
|
||||
for i := 1; i < 10; i++ {
|
||||
counter[i] += counter[i-1]
|
||||
}
|
||||
// Traverse in reverse, based on bucket statistics, place each element into res
|
||||
res := make([]int, n)
|
||||
for i := n - 1; i >= 0; i-- {
|
||||
d := digit(nums[i], exp)
|
||||
j := counter[d] - 1 // Get the index j for d in the array
|
||||
res[j] = nums[i] // Place the current element at index j
|
||||
counter[d]-- // Decrease the count of d by 1
|
||||
}
|
||||
// Use result to overwrite the original array nums
|
||||
for i := 0; i < n; i++ {
|
||||
nums[i] = res[i]
|
||||
}
|
||||
}
|
||||
|
||||
/* Radix sort */
|
||||
func radixSort(nums []int) {
|
||||
// Get the maximum element of the array, used to determine the maximum number of digits
|
||||
max := math.MinInt
|
||||
for _, num := range nums {
|
||||
if num > max {
|
||||
max = num
|
||||
}
|
||||
}
|
||||
// Traverse from the lowest to the highest digit
|
||||
for exp := 1; max >= exp; exp *= 10 {
|
||||
// Perform counting sort on the k-th digit of array elements
|
||||
// k = 1 -> exp = 1
|
||||
// k = 2 -> exp = 10
|
||||
// i.e., exp = 10^(k-1)
|
||||
countingSortDigit(nums, exp)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,18 @@
|
||||
// File: radix_sort_test.go
|
||||
// Created Time: 2023-01-18
|
||||
// Author: Reanon (793584285@qq.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"testing"
|
||||
)
|
||||
|
||||
func TestRadixSort(t *testing.T) {
|
||||
/* Radix sort */
|
||||
nums := []int{10546151, 35663510, 42865989, 34862445, 81883077,
|
||||
88906420, 72429244, 30524779, 82060337, 63832996}
|
||||
radixSort(nums)
|
||||
fmt.Println("After radix sort completes, nums = ", nums)
|
||||
}
|
||||
@@ -0,0 +1,24 @@
|
||||
// File: selection_sort.go
|
||||
// Created Time: 2023-05-29
|
||||
// Author: Reanon (793584285@qq.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
||||
/* Selection sort */
|
||||
func selectionSort(nums []int) {
|
||||
n := len(nums)
|
||||
// Outer loop: unsorted interval is [i, n-1]
|
||||
for i := 0; i < n-1; i++ {
|
||||
// Inner loop: find the smallest element within the unsorted interval
|
||||
k := i
|
||||
for j := i + 1; j < n; j++ {
|
||||
if nums[j] < nums[k] {
|
||||
// Record the index of the smallest element
|
||||
k = j
|
||||
}
|
||||
}
|
||||
// Swap the smallest element with the first element of the unsorted interval
|
||||
nums[i], nums[k] = nums[k], nums[i]
|
||||
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
// File: selection_sort_test.go
|
||||
// Created Time: 2023-05-29
|
||||
// Author: Reanon (793584285@qq.com)
|
||||
|
||||
package chapter_sorting
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"testing"
|
||||
)
|
||||
|
||||
func TestSelectionSort(t *testing.T) {
|
||||
nums := []int{4, 1, 3, 1, 5, 2}
|
||||
selectionSort(nums)
|
||||
fmt.Println("After selection sort completes, nums = ", nums)
|
||||
}
|
||||
Reference in New Issue
Block a user