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:
Yudong Jin
2025-12-31 07:44:52 +08:00
committed by GitHub
parent 45e1295241
commit 2778a6f9c7
1284 changed files with 71557 additions and 3275 deletions
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/**
* File: coin_change_greedy.cs
* Created Time: 2023-07-21
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_greedy;
public class coin_change_greedy {
/* Coin change: Greedy algorithm */
int CoinChangeGreedy(int[] coins, int amt) {
// Assume coins list is sorted
int i = coins.Length - 1;
int count = 0;
// Loop to make greedy choices until no remaining amount
while (amt > 0) {
// Find the coin that is less than and closest to the remaining amount
while (i > 0 && coins[i] > amt) {
i--;
}
// Choose coins[i]
amt -= coins[i];
count++;
}
// If no feasible solution is found, return -1
return amt == 0 ? count : -1;
}
[Test]
public void Test() {
// Greedy algorithm: Can guarantee finding the global optimal solution
int[] coins = [1, 5, 10, 20, 50, 100];
int amt = 186;
int res = CoinChangeGreedy(coins, amt);
Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
// Greedy algorithm: Cannot guarantee finding the global optimal solution
coins = [1, 20, 50];
amt = 60;
res = CoinChangeGreedy(coins, amt);
Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
Console.WriteLine("Actually the minimum number needed is 3, i.e., 20 + 20 + 20");
// Greedy algorithm: Cannot guarantee finding the global optimal solution
coins = [1, 49, 50];
amt = 98;
res = CoinChangeGreedy(coins, amt);
Console.WriteLine("\ncoins = " + coins.PrintList() + ", amt = " + amt);
Console.WriteLine("To make " + amt + ", minimum number of coins needed is " + res);
Console.WriteLine("Actually the minimum number needed is 2, i.e., 49 + 49");
}
}
@@ -0,0 +1,52 @@
/**
* File: fractional_knapsack.cs
* Created Time: 2023-07-21
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_greedy;
/* Item */
class Item(int w, int v) {
public int w = w; // Item weight
public int v = v; // Item value
}
public class fractional_knapsack {
/* Fractional knapsack: Greedy algorithm */
double FractionalKnapsack(int[] wgt, int[] val, int cap) {
// Create item list with two attributes: weight, value
Item[] items = new Item[wgt.Length];
for (int i = 0; i < wgt.Length; i++) {
items[i] = new Item(wgt[i], val[i]);
}
// Sort by unit value item.v / item.w from high to low
Array.Sort(items, (x, y) => (y.v / y.w).CompareTo(x.v / x.w));
// Loop for greedy selection
double res = 0;
foreach (Item item in items) {
if (item.w <= cap) {
// If remaining capacity is sufficient, put the entire current item into the knapsack
res += item.v;
cap -= item.w;
} else {
// If remaining capacity is insufficient, put part of the current item into the knapsack
res += (double)item.v / item.w * cap;
// No remaining capacity, so break out of the loop
break;
}
}
return res;
}
[Test]
public void Test() {
int[] wgt = [10, 20, 30, 40, 50];
int[] val = [50, 120, 150, 210, 240];
int cap = 50;
// Greedy algorithm
double res = FractionalKnapsack(wgt, val, cap);
Console.WriteLine("Maximum item value not exceeding knapsack capacity is " + res);
}
}
@@ -0,0 +1,39 @@
/**
* File: max_capacity.cs
* Created Time: 2023-07-21
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_greedy;
public class max_capacity {
/* Max capacity: Greedy algorithm */
int MaxCapacity(int[] ht) {
// Initialize i, j to be at both ends of the array
int i = 0, j = ht.Length - 1;
// Initial max capacity is 0
int res = 0;
// Loop for greedy selection until the two boards meet
while (i < j) {
// Update max capacity
int cap = Math.Min(ht[i], ht[j]) * (j - i);
res = Math.Max(res, cap);
// Move the shorter board inward
if (ht[i] < ht[j]) {
i++;
} else {
j--;
}
}
return res;
}
[Test]
public void Test() {
int[] ht = [3, 8, 5, 2, 7, 7, 3, 4];
// Greedy algorithm
int res = MaxCapacity(ht);
Console.WriteLine("Maximum capacity is " + res);
}
}
@@ -0,0 +1,39 @@
/**
* File: max_product_cutting.cs
* Created Time: 2023-07-21
* Author: hpstory (hpstory1024@163.com)
*/
namespace hello_algo.chapter_greedy;
public class max_product_cutting {
/* Max product cutting: Greedy algorithm */
int MaxProductCutting(int n) {
// When n <= 3, must cut out a 1
if (n <= 3) {
return 1 * (n - 1);
}
// Greedily cut out 3, a is the number of 3s, b is the remainder
int a = n / 3;
int b = n % 3;
if (b == 1) {
// When the remainder is 1, convert a pair of 1 * 3 to 2 * 2
return (int)Math.Pow(3, a - 1) * 2 * 2;
}
if (b == 2) {
// When the remainder is 2, do nothing
return (int)Math.Pow(3, a) * 2;
}
// When the remainder is 0, do nothing
return (int)Math.Pow(3, a);
}
[Test]
public void Test() {
int n = 58;
// Greedy algorithm
int res = MaxProductCutting(n);
Console.WriteLine("Maximum cutting product is" + res);
}
}