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https://github.com/krahets/hello-algo.git
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idiomatic rust (#1485)
* idomatic rust * More idiomatic rust * make rust code more idiomatic * update
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parent
6b2c38cae4
commit
8a6ce26f6a
4 changed files with 19 additions and 30 deletions
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@ -16,11 +16,7 @@ fn backtrack(
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) {
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// 当放置完所有行时,记录解
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if row == n {
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let mut copy_state: Vec<Vec<String>> = Vec::new();
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for s_row in state.clone() {
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copy_state.push(s_row);
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}
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res.push(copy_state);
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res.push(state.clone());
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return;
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}
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// 遍历所有列
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@ -31,12 +27,12 @@ fn backtrack(
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// 剪枝:不允许该格子所在列、主对角线、次对角线上存在皇后
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if !cols[col] && !diags1[diag1] && !diags2[diag2] {
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// 尝试:将皇后放置在该格子
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state.get_mut(row).unwrap()[col] = "Q".into();
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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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// 放置下一行
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backtrack(row + 1, n, state, res, cols, diags1, diags2);
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// 回退:将该格子恢复为空位
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state.get_mut(row).unwrap()[col] = "#".into();
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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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@ -45,14 +41,7 @@ fn backtrack(
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/* 求解 n 皇后 */
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fn n_queens(n: usize) -> Vec<Vec<Vec<String>>> {
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// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
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let mut state: Vec<Vec<String>> = Vec::new();
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for _ in 0..n {
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let mut row: Vec<String> = Vec::new();
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for _ in 0..n {
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row.push("#".into());
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}
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state.push(row);
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}
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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]; // 记录列是否有皇后
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let mut diags1 = vec![false; 2 * n - 1]; // 记录主对角线上是否有皇后
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let mut diags2 = vec![false; 2 * n - 1]; // 记录次对角线上是否有皇后
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@ -6,7 +6,7 @@
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/* 回溯算法:子集和 I */
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fn backtrack(
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mut state: Vec<i32>,
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state: &mut Vec<i32>,
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target: i32,
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choices: &[i32],
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start: usize,
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@ -14,7 +14,7 @@ fn backtrack(
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) {
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// 子集和等于 target 时,记录解
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if target == 0 {
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res.push(state);
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res.push(state.clone());
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return;
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}
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// 遍历所有选择
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@ -28,7 +28,7 @@ fn backtrack(
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// 尝试:做出选择,更新 target, start
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state.push(choices[i]);
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// 进行下一轮选择
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backtrack(state.clone(), target - choices[i], choices, i, res);
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backtrack(state, target - choices[i], choices, i, res);
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// 回退:撤销选择,恢复到之前的状态
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state.pop();
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}
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@ -36,11 +36,11 @@ fn backtrack(
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/* 求解子集和 I */
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fn subset_sum_i(nums: &mut [i32], target: i32) -> Vec<Vec<i32>> {
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let state = Vec::new(); // 状态(子集)
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let mut state = Vec::new(); // 状态(子集)
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nums.sort(); // 对 nums 进行排序
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let start = 0; // 遍历起始点
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let mut res = Vec::new(); // 结果列表(子集列表)
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backtrack(state, target, nums, start, &mut res);
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backtrack(&mut state, target, nums, start, &mut res);
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res
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}
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@ -6,7 +6,7 @@
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/* 回溯算法:子集和 I */
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fn backtrack(
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mut state: Vec<i32>,
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state: &mut Vec<i32>,
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target: i32,
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total: i32,
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choices: &[i32],
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@ -14,7 +14,7 @@ fn backtrack(
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) {
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// 子集和等于 target 时,记录解
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if total == target {
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res.push(state);
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res.push(state.clone());
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return;
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}
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// 遍历所有选择
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@ -26,7 +26,7 @@ fn backtrack(
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// 尝试:做出选择,更新元素和 total
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state.push(choices[i]);
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// 进行下一轮选择
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backtrack(state.clone(), target, total + choices[i], choices, res);
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backtrack(state, target, total + choices[i], choices, res);
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// 回退:撤销选择,恢复到之前的状态
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state.pop();
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}
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@ -34,10 +34,10 @@ fn backtrack(
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/* 求解子集和 I(包含重复子集) */
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fn subset_sum_i_naive(nums: &[i32], target: i32) -> Vec<Vec<i32>> {
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let state = Vec::new(); // 状态(子集)
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let mut state = Vec::new(); // 状态(子集)
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let total = 0; // 子集和
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let mut res = Vec::new(); // 结果列表(子集列表)
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backtrack(state, target, total, nums, &mut res);
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backtrack(&mut state, target, total, nums, &mut res);
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res
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}
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@ -6,7 +6,7 @@
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/* 回溯算法:子集和 II */
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fn backtrack(
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mut state: Vec<i32>,
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state: &mut Vec<i32>,
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target: i32,
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choices: &[i32],
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start: usize,
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@ -14,7 +14,7 @@ fn backtrack(
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) {
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// 子集和等于 target 时,记录解
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if target == 0 {
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res.push(state);
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res.push(state.clone());
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return;
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}
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// 遍历所有选择
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@ -33,7 +33,7 @@ fn backtrack(
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// 尝试:做出选择,更新 target, start
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state.push(choices[i]);
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// 进行下一轮选择
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backtrack(state.clone(), target - choices[i], choices, i, res);
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backtrack(state, target - choices[i], choices, i, res);
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// 回退:撤销选择,恢复到之前的状态
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state.pop();
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}
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@ -41,11 +41,11 @@ fn backtrack(
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/* 求解子集和 II */
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fn subset_sum_ii(nums: &mut [i32], target: i32) -> Vec<Vec<i32>> {
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let state = Vec::new(); // 状态(子集)
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let mut state = Vec::new(); // 状态(子集)
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nums.sort(); // 对 nums 进行排序
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let start = 0; // 遍历起始点
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let mut res = Vec::new(); // 结果列表(子集列表)
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backtrack(state, target, nums, start, &mut res);
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backtrack(&mut state, target, nums, start, &mut res);
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res
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}
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