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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 +1,45 @@
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// File: heap.go
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// Created Time: 2023-01-12
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// Author: Reanon (793584285@qq.com)
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package chapter_heap
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// In Go, integer max heap can be built by implementing heap.Interface
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// Implementing heap.Interface requires also implementing sort.Interface
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type intHeap []any
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// Push function of heap.Interface, implements pushing element to heap
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func (h *intHeap) Push(x any) {
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// Push and Pop use pointer receiver as parameter
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// Because they not only adjust the slice content, but also modify the slice length.
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*h = append(*h, x.(int))
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}
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// Pop function of heap.Interface, implements popping heap top element
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func (h *intHeap) Pop() any {
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// Element to be popped is stored at the end
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last := (*h)[len(*h)-1]
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*h = (*h)[:len(*h)-1]
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return last
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}
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// Len function of sort.Interface
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func (h *intHeap) Len() int {
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return len(*h)
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}
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// Less function of sort.Interface
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func (h *intHeap) Less(i, j int) bool {
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// If implementing min heap, need to change to less than sign
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return (*h)[i].(int) > (*h)[j].(int)
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}
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// Swap function of sort.Interface
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func (h *intHeap) Swap(i, j int) {
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(*h)[i], (*h)[j] = (*h)[j], (*h)[i]
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}
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// Top gets heap top element
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func (h *intHeap) Top() any {
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return (*h)[0]
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}
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@@ -0,0 +1,101 @@
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// File: heap_test.go
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// Created Time: 2023-01-12
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// Author: Reanon (793584285@qq.com)
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package chapter_heap
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import (
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"container/heap"
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"fmt"
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"strconv"
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"testing"
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. "github.com/krahets/hello-algo/pkg"
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)
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func testPush(h *intHeap, val int) {
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// Call heap.Interface function to add element
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heap.Push(h, val)
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fmt.Printf("\nAfter element %d pushes to heap \n", val)
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PrintHeap(*h)
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}
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func testPop(h *intHeap) {
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// Call heap.Interface function to remove element
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val := heap.Pop(h)
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fmt.Printf("\nAfter heap top element %d pops from heap \n", val)
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PrintHeap(*h)
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}
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func TestHeap(t *testing.T) {
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/* Initialize heap */
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// Consider negating the elements before entering the heap, which can reverse the size relationship, thus implementing max heap
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maxHeap := &intHeap{}
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heap.Init(maxHeap)
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/* Element enters heap */
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testPush(maxHeap, 1)
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testPush(maxHeap, 3)
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testPush(maxHeap, 2)
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testPush(maxHeap, 5)
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testPush(maxHeap, 4)
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/* Check if heap is empty */
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top := maxHeap.Top()
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fmt.Printf("Heap top element is %d\n", top)
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/* Time complexity is O(n), not O(nlogn) */
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testPop(maxHeap)
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testPop(maxHeap)
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testPop(maxHeap)
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testPop(maxHeap)
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testPop(maxHeap)
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/* Get heap size */
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size := len(*maxHeap)
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fmt.Printf("Heap size is %d\n", size)
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/* Check if heap is empty */
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isEmpty := len(*maxHeap) == 0
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fmt.Printf("Is heap empty %t\n", isEmpty)
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}
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func TestMyHeap(t *testing.T) {
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/* Initialize heap */
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// Consider negating the elements before entering the heap, which can reverse the size relationship, thus implementing max heap
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maxHeap := newMaxHeap([]any{9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2})
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fmt.Printf("After input array and building heap\n")
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maxHeap.print()
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/* Check if heap is empty */
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peek := maxHeap.peek()
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fmt.Printf("\nHeap top element is %d\n", peek)
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/* Element enters heap */
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val := 7
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maxHeap.push(val)
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fmt.Printf("\nAfter element %d enters heap\n", val)
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maxHeap.print()
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/* Time complexity is O(n), not O(nlogn) */
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peek = maxHeap.pop()
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fmt.Printf("\nAfter heap top element %d exits heap\n", peek)
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maxHeap.print()
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/* Get heap size */
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size := maxHeap.size()
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fmt.Printf("\nHeap element count is %d\n", size)
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/* Check if heap is empty */
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isEmpty := maxHeap.isEmpty()
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fmt.Printf("\nIs heap empty %t\n", isEmpty)
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}
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func TestTopKHeap(t *testing.T) {
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/* Initialize heap */
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// Consider negating the elements before entering the heap, which can reverse the size relationship, thus implementing max heap
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nums := []int{1, 7, 6, 3, 2}
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k := 3
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res := topKHeap(nums, k)
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fmt.Printf("The largest " + strconv.Itoa(k) + " elements are")
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PrintHeap(*res)
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}
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@@ -0,0 +1,140 @@
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// File: my_heap.go
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// Created Time: 2023-01-12
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// Author: Reanon (793584285@qq.com)
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package chapter_heap
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import (
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"fmt"
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. "github.com/krahets/hello-algo/pkg"
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)
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type maxHeap struct {
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// Use slice instead of array to avoid expansion issues
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data []any
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}
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/* Constructor, build empty heap */
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func newHeap() *maxHeap {
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return &maxHeap{
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data: make([]any, 0),
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}
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}
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/* Constructor, build heap from slice */
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func newMaxHeap(nums []any) *maxHeap {
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// Add list elements to heap as is
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h := &maxHeap{data: nums}
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for i := h.parent(len(h.data) - 1); i >= 0; i-- {
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// Heapify all nodes except leaf nodes
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h.siftDown(i)
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}
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return h
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}
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/* Get index of left child node */
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func (h *maxHeap) left(i int) int {
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return 2*i + 1
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}
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/* Get index of right child node */
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func (h *maxHeap) right(i int) int {
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return 2*i + 2
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}
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/* Get index of parent node */
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func (h *maxHeap) parent(i int) int {
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// Floor division
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return (i - 1) / 2
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}
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/* Swap elements */
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func (h *maxHeap) swap(i, j int) {
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h.data[i], h.data[j] = h.data[j], h.data[i]
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}
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/* Get heap size */
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func (h *maxHeap) size() int {
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return len(h.data)
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}
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/* Check if heap is empty */
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func (h *maxHeap) isEmpty() bool {
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return len(h.data) == 0
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}
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/* Access top element */
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func (h *maxHeap) peek() any {
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return h.data[0]
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}
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/* Element enters heap */
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func (h *maxHeap) push(val any) {
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// Add node
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h.data = append(h.data, val)
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// Heapify from bottom to top
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h.siftUp(len(h.data) - 1)
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}
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/* Starting from node i, heapify from bottom to top */
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func (h *maxHeap) siftUp(i int) {
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for true {
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// Get parent node of node i
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p := h.parent(i)
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// When "crossing root node" or "node needs no repair", end heapify
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if p < 0 || h.data[i].(int) <= h.data[p].(int) {
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break
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}
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// Swap two nodes
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h.swap(i, p)
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// Loop upward heapify
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i = p
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}
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}
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/* Element exits heap */
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func (h *maxHeap) pop() any {
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// Handle empty case
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if h.isEmpty() {
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fmt.Println("error")
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return nil
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}
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// Delete node
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h.swap(0, h.size()-1)
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// Remove node
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val := h.data[len(h.data)-1]
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h.data = h.data[:len(h.data)-1]
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// Return top element
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h.siftDown(0)
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// Return heap top element
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return val
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}
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/* Starting from node i, heapify from top to bottom */
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func (h *maxHeap) siftDown(i int) {
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for true {
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// Find node with maximum value among nodes i, l, r, denoted as max
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l, r, max := h.left(i), h.right(i), i
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if l < h.size() && h.data[l].(int) > h.data[max].(int) {
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max = l
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}
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if r < h.size() && h.data[r].(int) > h.data[max].(int) {
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max = r
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}
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// Swap two nodes
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if max == i {
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break
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}
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// Swap two nodes
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h.swap(i, max)
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// Loop downwards heapification
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i = max
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}
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}
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/* Driver Code */
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func (h *maxHeap) print() {
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PrintHeap(h.data)
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}
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@@ -0,0 +1,51 @@
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// File: top_k.go
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// Created Time: 2023-06-24
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// Author: Reanon (793584285@qq.com)
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package chapter_heap
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import "container/heap"
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type minHeap []any
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func (h *minHeap) Len() int { return len(*h) }
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func (h *minHeap) Less(i, j int) bool { return (*h)[i].(int) < (*h)[j].(int) }
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func (h *minHeap) Swap(i, j int) { (*h)[i], (*h)[j] = (*h)[j], (*h)[i] }
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// Push method of heap.Interface, implements pushing element to heap
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func (h *minHeap) Push(x any) {
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*h = append(*h, x.(int))
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}
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// Pop method of heap.Interface, implements popping heap top element
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func (h *minHeap) Pop() any {
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// Element to be popped is stored at the end
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last := (*h)[len(*h)-1]
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*h = (*h)[:len(*h)-1]
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return last
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}
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// Top gets heap top element
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func (h *minHeap) Top() any {
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return (*h)[0]
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}
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/* Find the largest k elements in array based on heap */
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func topKHeap(nums []int, k int) *minHeap {
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// Python's heapq module implements min heap by default
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h := &minHeap{}
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heap.Init(h)
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// Enter the first k elements of array into heap
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for i := 0; i < k; i++ {
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heap.Push(h, nums[i])
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}
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// Starting from the (k+1)th element, maintain heap length as k
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for i := k; i < len(nums); i++ {
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// If current element is greater than top element, top element exits heap, current element enters heap
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if nums[i] > h.Top().(int) {
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heap.Pop(h)
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heap.Push(h, nums[i])
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}
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}
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return h
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}
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