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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
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/**
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* File: coin_change_greedy.cs
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* Created Time: 2023-07-21
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_greedy;
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public class coin_change_greedy {
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/* Coin change: Greedy algorithm */
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int CoinChangeGreedy(int[] coins, int amt) {
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// Assume coins list is sorted
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int i = coins.Length - 1;
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int count = 0;
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// Loop to make greedy choices until no remaining amount
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while (amt > 0) {
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// Find the coin that is less than and closest to the remaining amount
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while (i > 0 && coins[i] > amt) {
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i--;
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}
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// Choose coins[i]
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amt -= coins[i];
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count++;
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}
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// If no feasible solution is found, return -1
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return amt == 0 ? count : -1;
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}
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[Test]
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public void Test() {
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// Greedy algorithm: Can guarantee finding the global optimal solution
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int[] coins = [1, 5, 10, 20, 50, 100];
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int amt = 186;
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int res = CoinChangeGreedy(coins, amt);
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Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
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Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
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// Greedy algorithm: Cannot guarantee finding the global optimal solution
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coins = [1, 20, 50];
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amt = 60;
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res = CoinChangeGreedy(coins, amt);
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Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
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Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
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Console.WriteLine("Actually the minimum number needed is 3, i.e., 20 + 20 + 20");
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// Greedy algorithm: Cannot guarantee finding the global optimal solution
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coins = [1, 49, 50];
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amt = 98;
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res = CoinChangeGreedy(coins, amt);
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Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
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Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
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Console.WriteLine("Actually the minimum number needed is 2, i.e., 49 + 49");
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}
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}
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/**
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* File: fractional_knapsack.cs
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* Created Time: 2023-07-21
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_greedy;
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/* Item */
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class Item(int w, int v) {
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public int w = w; // Item weight
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public int v = v; // Item value
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}
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public class fractional_knapsack {
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/* Fractional knapsack: Greedy algorithm */
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double FractionalKnapsack(int[] wgt, int[] val, int cap) {
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// Create item list with two attributes: weight, value
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Item[] items = new Item[wgt.Length];
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for (int i = 0; i < wgt.Length; i++) {
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items[i] = new Item(wgt[i], val[i]);
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}
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// Sort by unit value item.v / item.w from high to low
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Array.Sort(items, (x, y) => (y.v / y.w).CompareTo(x.v / x.w));
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// Loop for greedy selection
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double res = 0;
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foreach (Item item in items) {
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if (item.w <= cap) {
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// If remaining capacity is sufficient, put the entire current item into the knapsack
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res += item.v;
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cap -= item.w;
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} else {
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// If remaining capacity is insufficient, put part of the current item into the knapsack
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res += (double)item.v / item.w * cap;
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// No remaining capacity, so break out of the loop
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break;
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}
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}
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return res;
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}
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[Test]
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public void Test() {
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int[] wgt = [10, 20, 30, 40, 50];
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int[] val = [50, 120, 150, 210, 240];
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int cap = 50;
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// Greedy algorithm
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double res = FractionalKnapsack(wgt, val, cap);
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Console.WriteLine("Maximum item value not exceeding knapsack capacity is " + res);
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}
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}
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/**
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* File: max_capacity.cs
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* Created Time: 2023-07-21
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_greedy;
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public class max_capacity {
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/* Max capacity: Greedy algorithm */
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int MaxCapacity(int[] ht) {
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// Initialize i, j to be at both ends of the array
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int i = 0, j = ht.Length - 1;
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// Initial max capacity is 0
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int res = 0;
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// Loop for greedy selection until the two boards meet
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while (i < j) {
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// Update max capacity
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int cap = Math.Min(ht[i], ht[j]) * (j - i);
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res = Math.Max(res, cap);
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// Move the shorter board inward
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if (ht[i] < ht[j]) {
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i++;
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} else {
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j--;
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}
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}
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return res;
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}
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[Test]
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public void Test() {
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int[] ht = [3, 8, 5, 2, 7, 7, 3, 4];
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// Greedy algorithm
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int res = MaxCapacity(ht);
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Console.WriteLine("Maximum capacity is " + res);
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}
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}
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/**
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* File: max_product_cutting.cs
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* Created Time: 2023-07-21
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* Author: hpstory (hpstory1024@163.com)
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*/
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namespace hello_algo.chapter_greedy;
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public class max_product_cutting {
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/* Max product cutting: Greedy algorithm */
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int MaxProductCutting(int n) {
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// When n <= 3, must cut out a 1
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if (n <= 3) {
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return 1 * (n - 1);
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}
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// Greedily cut out 3, a is the number of 3s, b is the remainder
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int a = n / 3;
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int b = n % 3;
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if (b == 1) {
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// When the remainder is 1, convert a pair of 1 * 3 to 2 * 2
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return (int)Math.Pow(3, a - 1) * 2 * 2;
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}
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if (b == 2) {
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// When the remainder is 2, do nothing
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return (int)Math.Pow(3, a) * 2;
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}
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// When the remainder is 0, do nothing
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return (int)Math.Pow(3, a);
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}
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[Test]
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public void Test() {
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int n = 58;
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// Greedy algorithm
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int res = MaxProductCutting(n);
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Console.WriteLine("Maximum cutting product is" + res);
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}
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}
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