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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: unbounded_knapsack.js
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* Created Time: 2023-08-23
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* Author: Gaofer Chou (gaofer-chou@qq.com)
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*/
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/* Unbounded knapsack: Dynamic programming */
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function unboundedKnapsackDP(wgt, val, cap) {
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const n = wgt.length;
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// Initialize dp table
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const dp = Array.from({ length: n + 1 }, () =>
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Array.from({ length: cap + 1 }, () => 0)
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);
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// State transition
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for (let i = 1; i <= n; i++) {
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for (let 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] = Math.max(
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dp[i - 1][c],
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dp[i][c - wgt[i - 1]] + val[i - 1]
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);
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}
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}
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}
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return dp[n][cap];
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}
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/* Unbounded knapsack: Space-optimized dynamic programming */
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function unboundedKnapsackDPComp(wgt, val, cap) {
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const n = wgt.length;
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// Initialize dp table
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const dp = Array.from({ length: cap + 1 }, () => 0);
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// State transition
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for (let i = 1; i <= n; i++) {
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for (let 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[c] = dp[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[c] = Math.max(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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return dp[cap];
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}
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/* Driver Code */
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const wgt = [1, 2, 3];
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const val = [5, 11, 15];
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const cap = 4;
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// Dynamic programming
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let res = unboundedKnapsackDP(wgt, val, cap);
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console.log(`Maximum item value not exceeding knapsack capacity is ${res}`);
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// Space-optimized dynamic programming
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res = unboundedKnapsackDPComp(wgt, val, cap);
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console.log(`Maximum item value not exceeding knapsack capacity is ${res}`);
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