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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
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@@ -9,14 +9,14 @@ package chapter_greedy;
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import java.util.Arrays;
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public class coin_change_greedy {
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/* Coin change: Greedy */
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/* Coin change: Greedy algorithm */
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static int coinChangeGreedy(int[] coins, int amt) {
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// Assume coins list is ordered
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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 for greedy selection until no remaining amount
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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 smallest coin close to and less than the remaining amount
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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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@@ -29,27 +29,27 @@ public class coin_change_greedy {
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}
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public static void main(String[] args) {
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// Greedy: can ensure finding a global optimal solution
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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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System.out.println("\ncoins = " + Arrays.toString(coins) + ", amt = " + amt);
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System.out.println("The minimum number of coins required to make up " + amt + " is " + res);
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System.out.println("Minimum number of coins needed to make " + amt + " is " + res);
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// Greedy: cannot ensure finding a global optimal solution
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// Greedy algorithm: Cannot guarantee finding the global optimal solution
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coins = new int[] { 1, 20, 50 };
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amt = 60;
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res = coinChangeGreedy(coins, amt);
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System.out.println("\ncoins = " + Arrays.toString(coins) + ", amt = " + amt);
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System.out.println("The minimum number of coins required to make up " + amt + " is " + res);
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System.out.println("In reality, the minimum number needed is 3, i.e., 20 + 20 + 20");
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System.out.println("Minimum number of coins needed to make " + amt + " is " + res);
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System.out.println("Actually the minimum number needed is 3, i.e., 20 + 20 + 20");
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// Greedy: cannot ensure finding a global optimal solution
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// Greedy algorithm: Cannot guarantee finding the global optimal solution
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coins = new int[] { 1, 49, 50 };
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amt = 98;
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res = coinChangeGreedy(coins, amt);
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System.out.println("\ncoins = " + Arrays.toString(coins) + ", amt = " + amt);
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System.out.println("The minimum number of coins required to make up " + amt + " is " + res);
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System.out.println("In reality, the minimum number needed is 2, i.e., 49 + 49");
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System.out.println("Minimum number of coins needed to make " + amt + " is " + res);
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System.out.println("Actually the minimum number needed is 2, i.e., 49 + 49");
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}
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}
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@@ -21,9 +21,9 @@ class Item {
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}
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public class fractional_knapsack {
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/* Fractional knapsack: Greedy */
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/* Fractional knapsack: Greedy algorithm */
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static double fractionalKnapsack(int[] wgt, int[] val, int cap) {
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// Create an item list, containing two properties: weight, value
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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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@@ -34,13 +34,13 @@ public class fractional_knapsack {
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double res = 0;
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for (Item item : items) {
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if (item.w <= cap) {
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// If the remaining capacity is sufficient, put the entire item into the knapsack
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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 the remaining capacity is insufficient, put part of the item into the knapsack
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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 left, thus break the loop
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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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@@ -54,6 +54,6 @@ public class fractional_knapsack {
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// Greedy algorithm
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double res = fractionalKnapsack(wgt, val, cap);
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System.out.println("The maximum value within the bag capacity is " + res);
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System.out.println("Maximum item value not exceeding knapsack capacity is " + res);
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}
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}
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@@ -7,15 +7,15 @@
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package chapter_greedy;
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public class max_capacity {
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/* Maximum capacity: Greedy */
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/* Max capacity: Greedy algorithm */
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static int maxCapacity(int[] ht) {
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// Initialize i, j, making them split the array at both ends
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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 maximum capacity is 0
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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 maximum capacity
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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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@@ -33,6 +33,6 @@ public class max_capacity {
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// Greedy algorithm
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int res = maxCapacity(ht);
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System.out.println("The maximum capacity is " + res);
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System.out.println("Maximum capacity is " + res);
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}
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}
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@@ -9,17 +9,17 @@ package chapter_greedy;
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import java.lang.Math;
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public class max_product_cutting {
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/* Maximum product of cutting: Greedy */
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/* Max product cutting: Greedy algorithm */
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public static 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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// Greedy cut out 3s, a is the number of 3s, b is the remainder
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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 into 2 * 2
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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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@@ -35,6 +35,6 @@ public class max_product_cutting {
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// Greedy algorithm
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int res = maxProductCutting(n);
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System.out.println("The maximum product of division is " + res);
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System.out.println("Maximum cutting product is " + res);
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}
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}
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