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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: knapsack.c
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* Created Time: 2023-10-02
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* Author: Zuoxun (845242523@qq.com)
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*/
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#include "../utils/common.h"
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/* Find maximum value */
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int myMax(int a, int b) {
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return a > b ? a : b;
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}
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/* 0-1 knapsack: Brute-force search */
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int knapsackDFS(int wgt[], int val[], int i, int c) {
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// If all items have been selected or knapsack has no remaining capacity, return value 0
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if (i == 0 || c == 0) {
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return 0;
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}
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// If exceeds knapsack capacity, can only choose not to put it in
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if (wgt[i - 1] > c) {
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return knapsackDFS(wgt, val, i - 1, c);
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}
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// Calculate the maximum value of not putting in and putting in item i
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int no = knapsackDFS(wgt, val, i - 1, c);
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int yes = knapsackDFS(wgt, val, i - 1, c - wgt[i - 1]) + val[i - 1];
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// Return the larger value of the two options
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return myMax(no, yes);
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}
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/* 0-1 knapsack: Memoization search */
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int knapsackDFSMem(int wgt[], int val[], int memCols, int **mem, int i, int c) {
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// If all items have been selected or knapsack has no remaining capacity, return value 0
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if (i == 0 || c == 0) {
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return 0;
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}
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// If there's a record, return it directly
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if (mem[i][c] != -1) {
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return mem[i][c];
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}
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// If exceeds knapsack capacity, can only choose not to put it in
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if (wgt[i - 1] > c) {
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return knapsackDFSMem(wgt, val, memCols, mem, i - 1, c);
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}
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// Calculate the maximum value of not putting in and putting in item i
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int no = knapsackDFSMem(wgt, val, memCols, mem, i - 1, c);
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int yes = knapsackDFSMem(wgt, val, memCols, mem, i - 1, c - wgt[i - 1]) + val[i - 1];
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// Record and return the larger value of the two options
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mem[i][c] = myMax(no, yes);
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return mem[i][c];
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}
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/* 0-1 knapsack: Dynamic programming */
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int knapsackDP(int wgt[], int val[], int cap, int wgtSize) {
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int n = wgtSize;
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// Initialize dp table
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int **dp = malloc((n + 1) * sizeof(int *));
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for (int i = 0; i <= n; i++) {
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dp[i] = calloc(cap + 1, sizeof(int));
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}
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// State transition
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for (int i = 1; i <= n; i++) {
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for (int c = 1; c <= cap; c++) {
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if (wgt[i - 1] > c) {
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// If exceeds knapsack capacity, don't select item i
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dp[i][c] = dp[i - 1][c];
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} else {
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// The larger value between not selecting and selecting item i
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dp[i][c] = myMax(dp[i - 1][c], dp[i - 1][c - wgt[i - 1]] + val[i - 1]);
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}
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}
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}
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int res = dp[n][cap];
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// Free memory
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for (int i = 0; i <= n; i++) {
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free(dp[i]);
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}
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return res;
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}
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/* 0-1 knapsack: Space-optimized dynamic programming */
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int knapsackDPComp(int wgt[], int val[], int cap, int wgtSize) {
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int n = wgtSize;
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// Initialize dp table
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int *dp = calloc(cap + 1, sizeof(int));
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// State transition
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for (int i = 1; i <= n; i++) {
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// Traverse in reverse order
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for (int c = cap; c >= 1; c--) {
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if (wgt[i - 1] <= c) {
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// The larger value between not selecting and selecting item i
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dp[c] = myMax(dp[c], dp[c - wgt[i - 1]] + val[i - 1]);
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}
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}
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}
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int res = dp[cap];
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// Free memory
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free(dp);
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return res;
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}
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/* Driver Code */
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int main() {
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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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int n = sizeof(wgt) / sizeof(wgt[0]);
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int wgtSize = n;
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// Brute-force search
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int res = knapsackDFS(wgt, val, n, cap);
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printf("Maximum item value not exceeding knapsack capacity is %d\n", res);
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// Memoization search
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int **mem = malloc((n + 1) * sizeof(int *));
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for (int i = 0; i <= n; i++) {
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mem[i] = malloc((cap + 1) * sizeof(int));
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memset(mem[i], -1, (cap + 1) * sizeof(int));
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}
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res = knapsackDFSMem(wgt, val, cap + 1, mem, n, cap);
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printf("Maximum item value not exceeding knapsack capacity is %d\n", res);
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// Free memory
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for (int i = 0; i <= n; i++) {
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free(mem[i]);
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}
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free(mem);
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// Dynamic programming
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res = knapsackDP(wgt, val, cap, wgtSize);
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printf("Maximum item value not exceeding knapsack capacity is %d\n", res);
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// Space-optimized dynamic programming
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res = knapsackDPComp(wgt, val, cap, wgtSize);
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printf("Maximum item value not exceeding knapsack capacity is %d\n", res);
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return 0;
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}
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