mirror of
https://github.com/krahets/hello-algo.git
synced 2026-04-23 18:11:45 +08:00
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
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@@ -7,40 +7,40 @@
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#include "../utils/common.hpp"
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void testPush(priority_queue<int> &heap, int val) {
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heap.push(val); // Push the element into heap
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cout << "\nAfter element " << val << " is added to the heap" << endl;
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heap.push(val); // Element enters heap
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cout << "\nAfter element " << val << " pushes to heap" << endl;
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printHeap(heap);
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}
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void testPop(priority_queue<int> &heap) {
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int val = heap.top();
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heap.pop();
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cout << "\nAfter the top element " << val << " is removed from the heap" << endl;
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cout << "\nAfter heap top element " << val << " pops from heap" << endl;
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printHeap(heap);
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}
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/* Driver Code */
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int main() {
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/* Initialize the heap */
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// Initialize min-heap
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/* Initialize heap */
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// Python's heapq module implements min heap by default
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// priority_queue<int, vector<int>, greater<int>> minHeap;
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// Initialize max-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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priority_queue<int, vector<int>, less<int>> maxHeap;
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cout << "\nThe following test case is for max-heap" << endl;
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cout << "\nThe following test cases are for max heap" << endl;
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/* Push the element into heap */
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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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/* Access heap top element */
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/* Check if heap is empty */
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int peek = maxHeap.top();
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cout << "\nTop element of the heap is " << peek << endl;
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cout << "\nHeap top element is " << peek << endl;
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/* Pop the element at the heap 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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@@ -49,17 +49,17 @@ int main() {
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/* Get heap size */
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int size = maxHeap.size();
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cout << "\nNumber of elements in the heap is " << size << endl;
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cout << "\nHeap size is " << size << endl;
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/* Determine if heap is empty */
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/* Check if heap is empty */
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bool isEmpty = maxHeap.empty();
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cout << "\nIs the heap empty " << isEmpty << endl;
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cout << "\nIs heap empty " << isEmpty << endl;
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/* Enter list and build heap */
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/* Input list and build heap */
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// Time complexity is O(n), not O(nlogn)
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vector<int> input{1, 3, 2, 5, 4};
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priority_queue<int, vector<int>, greater<int>> minHeap(input.begin(), input.end());
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cout << "After inputting the list and building a min-heap" << endl;
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cout << "After input list and building min heap" << endl;
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printHeap(minHeap);
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return 0;
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@@ -6,10 +6,10 @@
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#include "../utils/common.hpp"
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/* Max-heap */
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/* Max heap */
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class MaxHeap {
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private:
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// Using a dynamic array to avoid the need for resizing
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// Use dynamic array to avoid expansion issues
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vector<int> maxHeap;
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/* Get index of left child node */
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@@ -24,34 +24,34 @@ class MaxHeap {
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/* Get index of parent node */
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int parent(int i) {
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return (i - 1) / 2; // Integer division down
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return (i - 1) / 2; // Floor division
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}
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/* Start heapifying node i, from bottom to top */
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/* Starting from node i, heapify from bottom to top */
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void siftUp(int i) {
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while (true) {
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// Get parent node of node i
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int p = parent(i);
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// When "crossing the root node" or "node does not need repair", end heapification
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// When "crossing root node" or "node needs no repair", end heapify
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if (p < 0 || maxHeap[i] <= maxHeap[p])
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break;
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// Swap two nodes
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swap(maxHeap[i], maxHeap[p]);
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// Loop upwards heapification
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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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/* Start heapifying node i, from top to bottom */
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/* Starting from node i, heapify from top to bottom */
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void siftDown(int i) {
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while (true) {
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// Determine the largest node among i, l, r, noted as ma
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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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int l = left(i), r = right(i), ma = i;
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if (l < size() && maxHeap[l] > maxHeap[ma])
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ma = l;
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if (r < size() && maxHeap[r] > maxHeap[ma])
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ma = r;
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// If node i is the largest or indices l, r are out of bounds, no further heapification needed, break
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// Swap two nodes
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if (ma == i)
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break;
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swap(maxHeap[i], maxHeap[ma]);
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@@ -63,9 +63,9 @@ class MaxHeap {
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public:
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/* Constructor, build heap based on input list */
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MaxHeap(vector<int> nums) {
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// Add all list elements into the heap
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// Add list elements to heap as is
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maxHeap = nums;
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// Heapify all nodes except leaves
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// Heapify all nodes except leaf nodes
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for (int i = parent(size() - 1); i >= 0; i--) {
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siftDown(i);
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}
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@@ -76,17 +76,17 @@ class MaxHeap {
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return maxHeap.size();
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}
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/* Determine if heap is empty */
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/* Check if heap is empty */
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bool isEmpty() {
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return size() == 0;
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}
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/* Access heap top element */
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/* Access top element */
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int peek() {
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return maxHeap[0];
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}
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/* Push the element into heap */
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/* Element enters heap */
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void push(int val) {
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// Add node
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maxHeap.push_back(val);
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@@ -96,23 +96,23 @@ class MaxHeap {
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/* Element exits heap */
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void pop() {
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// Empty handling
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// Handle empty case
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if (isEmpty()) {
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throw out_of_range("Heap is empty");
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}
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// Swap the root node with the rightmost leaf node (swap the first element with the last element)
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// Delete node
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swap(maxHeap[0], maxHeap[size() - 1]);
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// Remove node
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maxHeap.pop_back();
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// Heapify from top to bottom
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// Return top element
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siftDown(0);
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}
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/* Print heap (binary tree)*/
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/* Driver Code*/
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void print() {
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cout << "Array representation of the heap:";
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cout << "Heap array representation:";
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printVector(maxHeap);
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cout << "Tree representation of the heap:" << endl;
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cout << "Heap tree representation:" << endl;
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TreeNode *root = vectorToTree(maxHeap);
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printTree(root);
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freeMemoryTree(root);
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@@ -121,35 +121,35 @@ class MaxHeap {
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/* Driver Code */
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int main() {
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/* Initialize max-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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vector<int> vec{9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2};
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MaxHeap maxHeap(vec);
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cout << "\nEnter list and build heap" << endl;
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cout << "\nAfter inputting list and building heap" << endl;
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maxHeap.print();
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/* Access heap top element */
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/* Check if heap is empty */
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int peek = maxHeap.peek();
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cout << "\nTop element of the heap is " << peek << endl;
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cout << "\nHeap top element is " << peek << endl;
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/* Push the element into heap */
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/* Element enters heap */
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int val = 7;
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maxHeap.push(val);
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cout << "\nAfter element " << val << " is added to the heap" << endl;
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cout << "\nAfter element " << val << " pushes to heap" << endl;
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maxHeap.print();
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/* Pop the element at the heap top */
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/* Time complexity is O(n), not O(nlogn) */
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peek = maxHeap.peek();
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maxHeap.pop();
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cout << "\nAfter the top element " << peek << " is removed from the heap" << endl;
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cout << "\nAfter heap top element " << peek << " pops from heap" << endl;
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maxHeap.print();
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/* Get heap size */
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int size = maxHeap.size();
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cout << "\nNumber of elements in the heap is " << size << endl;
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cout << "\nHeap size is " << size << endl;
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/* Determine if heap is empty */
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/* Check if heap is empty */
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bool isEmpty = maxHeap.isEmpty();
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cout << "\nIs the heap empty " << isEmpty << endl;
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cout << "\nIs heap empty " << isEmpty << endl;
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return 0;
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}
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@@ -6,17 +6,17 @@
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#include "../utils/common.hpp"
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/* Using heap to find the largest k elements in an array */
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/* Find the largest k elements in array based on heap */
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priority_queue<int, vector<int>, greater<int>> topKHeap(vector<int> &nums, int k) {
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// Initialize min-heap
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// Python's heapq module implements min heap by default
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priority_queue<int, vector<int>, greater<int>> heap;
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// Enter the first k elements of the array into the heap
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// Enter the first k elements of array into heap
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for (int i = 0; i < k; i++) {
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heap.push(nums[i]);
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}
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// From the k+1th element, keep the heap length as k
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// Starting from the (k+1)th element, maintain heap length as k
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for (int i = k; i < nums.size(); i++) {
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// If the current element is larger than the heap top element, remove the heap top element and enter the current element into the heap
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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] > heap.top()) {
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heap.pop();
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heap.push(nums[i]);
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@@ -31,7 +31,7 @@ int main() {
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int k = 3;
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priority_queue<int, vector<int>, greater<int>> res = topKHeap(nums, k);
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cout << "The largest " << k << " elements are:";
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cout << "The largest " << k << " elements are: ";
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printHeap(res);
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return 0;
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