mirror of
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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
This commit is contained in:
@@ -0,0 +1,76 @@
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/*
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* File: n_queens.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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/* Backtracking algorithm: N queens */
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fn backtrack(
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row: usize,
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n: usize,
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state: &mut Vec<Vec<String>>,
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res: &mut Vec<Vec<Vec<String>>>,
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cols: &mut [bool],
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diags1: &mut [bool],
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diags2: &mut [bool],
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) {
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// When all rows are placed, record the solution
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if row == n {
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res.push(state.clone());
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return;
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}
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// Traverse all columns
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for col in 0..n {
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// Calculate the main diagonal and anti-diagonal corresponding to this cell
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let diag1 = row + n - 1 - col;
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let diag2 = row + col;
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// Pruning: do not allow queens to exist in the column, main diagonal, and anti-diagonal of this cell
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if !cols[col] && !diags1[diag1] && !diags2[diag2] {
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// Attempt: place the queen in this cell
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state[row][col] = "Q".into();
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(cols[col], diags1[diag1], diags2[diag2]) = (true, true, true);
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// Place the next row
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backtrack(row + 1, n, state, res, cols, diags1, diags2);
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// Backtrack: restore this cell to an empty cell
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state[row][col] = "#".into();
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(cols[col], diags1[diag1], diags2[diag2]) = (false, false, false);
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}
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}
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}
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/* Solve N queens */
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fn n_queens(n: usize) -> Vec<Vec<Vec<String>>> {
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// Initialize an n*n chessboard, where 'Q' represents a queen and '#' represents an empty cell
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let mut state: Vec<Vec<String>> = vec![vec!["#".to_string(); n]; n];
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let mut cols = vec![false; n]; // Record whether there is a queen in the column
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let mut diags1 = vec![false; 2 * n - 1]; // Record whether there is a queen on the main diagonal
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let mut diags2 = vec![false; 2 * n - 1]; // Record whether there is a queen on the anti-diagonal
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let mut res: Vec<Vec<Vec<String>>> = Vec::new();
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backtrack(
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0,
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n,
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&mut state,
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&mut res,
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&mut cols,
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&mut diags1,
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&mut diags2,
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);
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res
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}
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/* Driver Code */
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pub fn main() {
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let n: usize = 4;
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let res = n_queens(n);
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println!("Input board size is {n}");
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println!("Total queen placement solutions: {}", res.len());
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for state in res.iter() {
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println!("--------------------");
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for row in state.iter() {
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println!("{:?}", row);
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}
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}
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}
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@@ -0,0 +1,46 @@
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/*
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* File: permutations_i.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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/* Backtracking algorithm: Permutations I */
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fn backtrack(mut state: Vec<i32>, choices: &[i32], selected: &mut [bool], res: &mut Vec<Vec<i32>>) {
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// When the state length equals the number of elements, record the solution
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if state.len() == choices.len() {
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res.push(state);
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return;
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}
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// Traverse all choices
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for i in 0..choices.len() {
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let choice = choices[i];
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// Pruning: do not allow repeated selection of elements
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if !selected[i] {
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// Attempt: make choice, update state
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selected[i] = true;
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state.push(choice);
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// Proceed to the next round of selection
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backtrack(state.clone(), choices, selected, res);
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// Backtrack: undo choice, restore to previous state
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selected[i] = false;
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state.pop();
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}
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}
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}
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/* Permutations I */
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fn permutations_i(nums: &mut [i32]) -> Vec<Vec<i32>> {
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let mut res = Vec::new(); // State (subset)
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backtrack(Vec::new(), nums, &mut vec![false; nums.len()], &mut res);
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res
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}
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/* Driver Code */
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pub fn main() {
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let mut nums = [1, 2, 3];
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let res = permutations_i(&mut nums);
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println!("Input array nums = {:?}", &nums);
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println!("All permutations res = {:?}", &res);
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}
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@@ -0,0 +1,50 @@
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/*
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* File: permutations_ii.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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use std::collections::HashSet;
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/* Backtracking algorithm: Permutations II */
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fn backtrack(mut state: Vec<i32>, choices: &[i32], selected: &mut [bool], res: &mut Vec<Vec<i32>>) {
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// When the state length equals the number of elements, record the solution
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if state.len() == choices.len() {
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res.push(state);
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return;
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}
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// Traverse all choices
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let mut duplicated = HashSet::<i32>::new();
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for i in 0..choices.len() {
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let choice = choices[i];
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// Pruning: do not allow repeated selection of elements and do not allow repeated selection of equal elements
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if !selected[i] && !duplicated.contains(&choice) {
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// Attempt: make choice, update state
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duplicated.insert(choice); // Record the selected element value
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selected[i] = true;
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state.push(choice);
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// Proceed to the next round of selection
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backtrack(state.clone(), choices, selected, res);
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// Backtrack: undo choice, restore to previous state
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selected[i] = false;
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state.pop();
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}
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}
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}
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/* Permutations II */
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fn permutations_ii(nums: &mut [i32]) -> Vec<Vec<i32>> {
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let mut res = Vec::new();
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backtrack(Vec::new(), nums, &mut vec![false; nums.len()], &mut res);
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res
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}
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/* Driver Code */
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pub fn main() {
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let mut nums = [1, 2, 2];
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let res = permutations_ii(&mut nums);
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println!("Input array nums = {:?}", &nums);
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println!("All permutations res = {:?}", &res);
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}
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@@ -0,0 +1,41 @@
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/*
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* File: preorder_traversal_i_compact.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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use hello_algo_rust::include::{print_util, vec_to_tree, TreeNode};
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use std::{cell::RefCell, rc::Rc};
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/* Preorder traversal: Example 1 */
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fn pre_order(res: &mut Vec<Rc<RefCell<TreeNode>>>, root: Option<&Rc<RefCell<TreeNode>>>) {
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if root.is_none() {
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return;
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}
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if let Some(node) = root {
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if node.borrow().val == 7 {
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// Record solution
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res.push(node.clone());
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}
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pre_order(res, node.borrow().left.as_ref());
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pre_order(res, node.borrow().right.as_ref());
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}
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}
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/* Driver Code */
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pub fn main() {
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let root = vec_to_tree([1, 7, 3, 4, 5, 6, 7].map(|x| Some(x)).to_vec());
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println!("Initialize binary tree");
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print_util::print_tree(root.as_ref().unwrap());
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// Preorder traversal
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let mut res = Vec::new();
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pre_order(&mut res, root.as_ref());
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println!("\nOutput all nodes with value 7");
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let mut vals = Vec::new();
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for node in res {
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vals.push(node.borrow().val)
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}
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println!("{:?}", vals);
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}
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@@ -0,0 +1,52 @@
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/*
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* File: preorder_traversal_ii_compact.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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use hello_algo_rust::include::{print_util, vec_to_tree, TreeNode};
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use std::{cell::RefCell, rc::Rc};
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/* Preorder traversal: Example 2 */
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fn pre_order(
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res: &mut Vec<Vec<Rc<RefCell<TreeNode>>>>,
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path: &mut Vec<Rc<RefCell<TreeNode>>>,
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root: Option<&Rc<RefCell<TreeNode>>>,
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) {
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if root.is_none() {
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return;
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}
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if let Some(node) = root {
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// Attempt
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path.push(node.clone());
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if node.borrow().val == 7 {
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// Record solution
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res.push(path.clone());
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}
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pre_order(res, path, node.borrow().left.as_ref());
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pre_order(res, path, node.borrow().right.as_ref());
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// Backtrack
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path.pop();
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}
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}
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/* Driver Code */
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pub fn main() {
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let root = vec_to_tree([1, 7, 3, 4, 5, 6, 7].map(|x| Some(x)).to_vec());
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println!("Initialize binary tree");
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print_util::print_tree(root.as_ref().unwrap());
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// Preorder traversal
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let mut path = Vec::new();
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let mut res = Vec::new();
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pre_order(&mut res, &mut path, root.as_ref());
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println!("\nOutput all paths from root node to node 7");
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for path in res {
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let mut vals = Vec::new();
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for node in path {
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vals.push(node.borrow().val)
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}
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println!("{:?}", vals);
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}
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}
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@@ -0,0 +1,53 @@
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/*
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* File: preorder_traversal_iii_compact.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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use hello_algo_rust::include::{print_util, vec_to_tree, TreeNode};
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use std::{cell::RefCell, rc::Rc};
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/* Preorder traversal: Example 3 */
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fn pre_order(
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res: &mut Vec<Vec<Rc<RefCell<TreeNode>>>>,
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path: &mut Vec<Rc<RefCell<TreeNode>>>,
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root: Option<&Rc<RefCell<TreeNode>>>,
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) {
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// Pruning
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if root.is_none() || root.as_ref().unwrap().borrow().val == 3 {
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return;
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}
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if let Some(node) = root {
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// Attempt
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path.push(node.clone());
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if node.borrow().val == 7 {
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// Record solution
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res.push(path.clone());
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}
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pre_order(res, path, node.borrow().left.as_ref());
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pre_order(res, path, node.borrow().right.as_ref());
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// Backtrack
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path.pop();
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}
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}
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/* Driver Code */
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pub fn main() {
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let root = vec_to_tree([1, 7, 3, 4, 5, 6, 7].map(|x| Some(x)).to_vec());
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println!("Initialize binary tree");
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print_util::print_tree(root.as_ref().unwrap());
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// Preorder traversal
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let mut path = Vec::new();
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let mut res = Vec::new();
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pre_order(&mut res, &mut path, root.as_ref());
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println!("\nOutput all paths from root node to node 7, paths do not include nodes with value 3");
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for path in res {
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let mut vals = Vec::new();
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for node in path {
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vals.push(node.borrow().val)
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}
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println!("{:?}", vals);
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}
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}
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@@ -0,0 +1,88 @@
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/*
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* File: preorder_traversal_iii_template.rs
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* Created Time: 2023-07-15
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* Author: codingonion (coderonion@gmail.com)
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*/
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use hello_algo_rust::include::{print_util, vec_to_tree, TreeNode};
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use std::{cell::RefCell, rc::Rc};
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/* Check if the current state is a solution */
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fn is_solution(state: &mut Vec<Rc<RefCell<TreeNode>>>) -> bool {
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return !state.is_empty() && state.last().unwrap().borrow().val == 7;
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}
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/* Record solution */
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fn record_solution(
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state: &mut Vec<Rc<RefCell<TreeNode>>>,
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res: &mut Vec<Vec<Rc<RefCell<TreeNode>>>>,
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) {
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res.push(state.clone());
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}
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|
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/* Check if the choice is valid under the current state */
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fn is_valid(_: &mut Vec<Rc<RefCell<TreeNode>>>, choice: Option<&Rc<RefCell<TreeNode>>>) -> bool {
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return choice.is_some() && choice.unwrap().borrow().val != 3;
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}
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/* Update state */
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fn make_choice(state: &mut Vec<Rc<RefCell<TreeNode>>>, choice: Rc<RefCell<TreeNode>>) {
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state.push(choice);
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}
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/* Restore state */
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fn undo_choice(state: &mut Vec<Rc<RefCell<TreeNode>>>, _: Rc<RefCell<TreeNode>>) {
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state.pop();
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}
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|
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/* Backtracking algorithm: Example 3 */
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fn backtrack(
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state: &mut Vec<Rc<RefCell<TreeNode>>>,
|
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choices: &Vec<Option<&Rc<RefCell<TreeNode>>>>,
|
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res: &mut Vec<Vec<Rc<RefCell<TreeNode>>>>,
|
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) {
|
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// Check if it is a solution
|
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if is_solution(state) {
|
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// Record solution
|
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record_solution(state, res);
|
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}
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// Traverse all choices
|
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for &choice in choices.iter() {
|
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// Pruning: check if the choice is valid
|
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if is_valid(state, choice) {
|
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// Attempt: make choice, update state
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make_choice(state, choice.unwrap().clone());
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// Proceed to the next round of selection
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backtrack(
|
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state,
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&vec![
|
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choice.unwrap().borrow().left.as_ref(),
|
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choice.unwrap().borrow().right.as_ref(),
|
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],
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res,
|
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);
|
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// Backtrack: undo choice, restore to previous state
|
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undo_choice(state, choice.unwrap().clone());
|
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}
|
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}
|
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}
|
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|
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/* Driver Code */
|
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pub fn main() {
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let root = vec_to_tree([1, 7, 3, 4, 5, 6, 7].map(|x| Some(x)).to_vec());
|
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println!("Initialize binary tree");
|
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print_util::print_tree(root.as_ref().unwrap());
|
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|
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// Backtracking algorithm
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let mut res = Vec::new();
|
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backtrack(&mut Vec::new(), &mut vec![root.as_ref()], &mut res);
|
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|
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println!("\nOutput all paths from root node to node 7, requiring paths do not include nodes with value 3");
|
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for path in res {
|
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let mut vals = Vec::new();
|
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for node in path {
|
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vals.push(node.borrow().val)
|
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}
|
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println!("{:?}", vals);
|
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}
|
||||
}
|
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@@ -0,0 +1,56 @@
|
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/*
|
||||
* File: subset_sum_i.rs
|
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* Created Time: 2023-07-09
|
||||
* Author: codingonion (coderonion@gmail.com)
|
||||
*/
|
||||
|
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/* Backtracking algorithm: Subset sum I */
|
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fn backtrack(
|
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state: &mut Vec<i32>,
|
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target: i32,
|
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choices: &[i32],
|
||||
start: usize,
|
||||
res: &mut Vec<Vec<i32>>,
|
||||
) {
|
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// When the subset sum equals target, record the solution
|
||||
if target == 0 {
|
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res.push(state.clone());
|
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return;
|
||||
}
|
||||
// Traverse all choices
|
||||
// Pruning 2: start traversing from start to avoid generating duplicate subsets
|
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for i in start..choices.len() {
|
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// Pruning 1: if the subset sum exceeds target, end the loop directly
|
||||
// This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
|
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if target - choices[i] < 0 {
|
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break;
|
||||
}
|
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// Attempt: make choice, update target, start
|
||||
state.push(choices[i]);
|
||||
// Proceed to the next round of selection
|
||||
backtrack(state, target - choices[i], choices, i, res);
|
||||
// Backtrack: undo choice, restore to previous state
|
||||
state.pop();
|
||||
}
|
||||
}
|
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|
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/* Solve subset sum I */
|
||||
fn subset_sum_i(nums: &mut [i32], target: i32) -> Vec<Vec<i32>> {
|
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let mut state = Vec::new(); // State (subset)
|
||||
nums.sort(); // Sort nums
|
||||
let start = 0; // Start point for traversal
|
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let mut res = Vec::new(); // Result list (subset list)
|
||||
backtrack(&mut state, target, nums, start, &mut res);
|
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res
|
||||
}
|
||||
|
||||
/* Driver Code */
|
||||
pub fn main() {
|
||||
let mut nums = [3, 4, 5];
|
||||
let target = 9;
|
||||
|
||||
let res = subset_sum_i(&mut nums, target);
|
||||
|
||||
println!("Input array nums = {:?}, target = {}", &nums, target);
|
||||
println!("All subsets with sum equal to {} res = {:?}", target, &res);
|
||||
}
|
||||
@@ -0,0 +1,54 @@
|
||||
/*
|
||||
* File: subset_sum_i_naive.rs
|
||||
* Created Time: 2023-07-09
|
||||
* Author: codingonion (coderonion@gmail.com)
|
||||
*/
|
||||
|
||||
/* Backtracking algorithm: Subset sum I */
|
||||
fn backtrack(
|
||||
state: &mut Vec<i32>,
|
||||
target: i32,
|
||||
total: i32,
|
||||
choices: &[i32],
|
||||
res: &mut Vec<Vec<i32>>,
|
||||
) {
|
||||
// When the subset sum equals target, record the solution
|
||||
if total == target {
|
||||
res.push(state.clone());
|
||||
return;
|
||||
}
|
||||
// Traverse all choices
|
||||
for i in 0..choices.len() {
|
||||
// Pruning: if the subset sum exceeds target, skip this choice
|
||||
if total + choices[i] > target {
|
||||
continue;
|
||||
}
|
||||
// Attempt: make choice, update element sum total
|
||||
state.push(choices[i]);
|
||||
// Proceed to the next round of selection
|
||||
backtrack(state, target, total + choices[i], choices, res);
|
||||
// Backtrack: undo choice, restore to previous state
|
||||
state.pop();
|
||||
}
|
||||
}
|
||||
|
||||
/* Solve subset sum I (including duplicate subsets) */
|
||||
fn subset_sum_i_naive(nums: &[i32], target: i32) -> Vec<Vec<i32>> {
|
||||
let mut state = Vec::new(); // State (subset)
|
||||
let total = 0; // Subset sum
|
||||
let mut res = Vec::new(); // Result list (subset list)
|
||||
backtrack(&mut state, target, total, nums, &mut res);
|
||||
res
|
||||
}
|
||||
|
||||
/* Driver Code */
|
||||
pub fn main() {
|
||||
let nums = [3, 4, 5];
|
||||
let target = 9;
|
||||
|
||||
let res = subset_sum_i_naive(&nums, target);
|
||||
|
||||
println!("Input array nums = {:?}, target = {}", &nums, target);
|
||||
println!("All subsets with sum equal to {} res = {:?}", target, &res);
|
||||
println!("Please note that this method outputs results containing duplicate sets");
|
||||
}
|
||||
@@ -0,0 +1,61 @@
|
||||
/*
|
||||
* File: subset_sum_ii.rs
|
||||
* Created Time: 2023-07-09
|
||||
* Author: codingonion (coderonion@gmail.com)
|
||||
*/
|
||||
|
||||
/* Backtracking algorithm: Subset sum II */
|
||||
fn backtrack(
|
||||
state: &mut Vec<i32>,
|
||||
target: i32,
|
||||
choices: &[i32],
|
||||
start: usize,
|
||||
res: &mut Vec<Vec<i32>>,
|
||||
) {
|
||||
// When the subset sum equals target, record the solution
|
||||
if target == 0 {
|
||||
res.push(state.clone());
|
||||
return;
|
||||
}
|
||||
// Traverse all choices
|
||||
// Pruning 2: start traversing from start to avoid generating duplicate subsets
|
||||
// Pruning 3: start traversing from start to avoid repeatedly selecting the same element
|
||||
for i in start..choices.len() {
|
||||
// Pruning 1: if the subset sum exceeds target, end the loop directly
|
||||
// This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
|
||||
if target - choices[i] < 0 {
|
||||
break;
|
||||
}
|
||||
// Pruning 4: if this element equals the left element, it means this search branch is duplicate, skip it directly
|
||||
if i > start && choices[i] == choices[i - 1] {
|
||||
continue;
|
||||
}
|
||||
// Attempt: make choice, update target, start
|
||||
state.push(choices[i]);
|
||||
// Proceed to the next round of selection
|
||||
backtrack(state, target - choices[i], choices, i + 1, res);
|
||||
// Backtrack: undo choice, restore to previous state
|
||||
state.pop();
|
||||
}
|
||||
}
|
||||
|
||||
/* Solve subset sum II */
|
||||
fn subset_sum_ii(nums: &mut [i32], target: i32) -> Vec<Vec<i32>> {
|
||||
let mut state = Vec::new(); // State (subset)
|
||||
nums.sort(); // Sort nums
|
||||
let start = 0; // Start point for traversal
|
||||
let mut res = Vec::new(); // Result list (subset list)
|
||||
backtrack(&mut state, target, nums, start, &mut res);
|
||||
res
|
||||
}
|
||||
|
||||
/* Driver Code */
|
||||
pub fn main() {
|
||||
let mut nums = [4, 4, 5];
|
||||
let target = 9;
|
||||
|
||||
let res = subset_sum_ii(&mut nums, target);
|
||||
|
||||
println!("Input array nums = {:?}, target = {}", &nums, target);
|
||||
println!("All subsets with sum equal to {} res = {:?}", target, &res);
|
||||
}
|
||||
Reference in New Issue
Block a user