This commit is contained in:
krahets
2023-10-06 14:10:18 +08:00
parent dda64b52e1
commit 3d2d669b43
51 changed files with 38928 additions and 1994 deletions
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@@ -55,81 +55,547 @@ comments: true
=== "Python"
```python title="n_queens.py"
[class]{}-[func]{backtrack}
def backtrack(
row: int,
n: int,
state: list[list[str]],
res: list[list[list[str]]],
cols: list[bool],
diags1: list[bool],
diags2: list[bool],
):
"""回溯算法:N 皇后"""
# 当放置完所有行时,记录解
if row == n:
res.append([list(row) for row in state])
return
# 遍历所有列
for col in range(n):
# 计算该格子对应的主对角线和副对角线
diag1 = row - col + n - 1
diag2 = row + col
# 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if not cols[col] and not diags1[diag1] and not diags2[diag2]:
# 尝试:将皇后放置在该格子
state[row][col] = "Q"
cols[col] = diags1[diag1] = diags2[diag2] = True
# 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2)
# 回退:将该格子恢复为空位
state[row][col] = "#"
cols[col] = diags1[diag1] = diags2[diag2] = False
[class]{}-[func]{n_queens}
def n_queens(n: int) -> list[list[list[str]]]:
"""求解 N 皇后"""
# 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
state = [["#" for _ in range(n)] for _ in range(n)]
cols = [False] * n # 记录列是否有皇后
diags1 = [False] * (2 * n - 1) # 记录主对角线是否有皇后
diags2 = [False] * (2 * n - 1) # 记录副对角线是否有皇后
res = []
backtrack(0, n, state, res, cols, diags1, diags2)
return res
```
=== "C++"
```cpp title="n_queens.cpp"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
void backtrack(int row, int n, vector<vector<string>> &state, vector<vector<vector<string>>> &res, vector<bool> &cols,
vector<bool> &diags1, vector<bool> &diags2) {
// 当放置完所有行时,记录解
if (row == n) {
res.push_back(state);
return;
}
// 遍历所有列
for (int col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
int diag1 = row - col + n - 1;
int diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state[row][col] = "Q";
cols[col] = diags1[diag1] = diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state[row][col] = "#";
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
[class]{}-[func]{nQueens}
/* 求解 N 皇后 */
vector<vector<vector<string>>> nQueens(int n) {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
vector<vector<string>> state(n, vector<string>(n, "#"));
vector<bool> cols(n, false); // 记录列是否有皇后
vector<bool> diags1(2 * n - 1, false); // 记录主对角线是否有皇后
vector<bool> diags2(2 * n - 1, false); // 记录副对角线是否有皇后
vector<vector<vector<string>>> res;
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "Java"
```java title="n_queens.java"
[class]{n_queens}-[func]{backtrack}
/* 回溯算法:N 皇后 */
void backtrack(int row, int n, List<List<String>> state, List<List<List<String>>> res,
boolean[] cols, boolean[] diags1, boolean[] diags2) {
// 当放置完所有行时,记录解
if (row == n) {
List<List<String>> copyState = new ArrayList<>();
for (List<String> sRow : state) {
copyState.add(new ArrayList<>(sRow));
}
res.add(copyState);
return;
}
// 遍历所有列
for (int col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
int diag1 = row - col + n - 1;
int diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state.get(row).set(col, "Q");
cols[col] = diags1[diag1] = diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state.get(row).set(col, "#");
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
[class]{n_queens}-[func]{nQueens}
/* 求解 N 皇后 */
List<List<List<String>>> nQueens(int n) {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
List<List<String>> state = new ArrayList<>();
for (int i = 0; i < n; i++) {
List<String> row = new ArrayList<>();
for (int j = 0; j < n; j++) {
row.add("#");
}
state.add(row);
}
boolean[] cols = new boolean[n]; // 记录列是否有皇后
boolean[] diags1 = new boolean[2 * n - 1]; // 记录主对角线是否有皇后
boolean[] diags2 = new boolean[2 * n - 1]; // 记录副对角线是否有皇后
List<List<List<String>>> res = new ArrayList<>();
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "C#"
```csharp title="n_queens.cs"
[class]{n_queens}-[func]{backtrack}
/* 回溯算法:N 皇后 */
void backtrack(int row, int n, List<List<string>> state, List<List<List<string>>> res,
bool[] cols, bool[] diags1, bool[] diags2) {
// 当放置完所有行时,记录解
if (row == n) {
List<List<string>> copyState = new List<List<string>>();
foreach (List<string> sRow in state) {
copyState.Add(new List<string>(sRow));
}
res.Add(copyState);
return;
}
// 遍历所有列
for (int col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
int diag1 = row - col + n - 1;
int diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state[row][col] = "Q";
cols[col] = diags1[diag1] = diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state[row][col] = "#";
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
[class]{n_queens}-[func]{nQueens}
/* 求解 N 皇后 */
List<List<List<string>>> nQueens(int n) {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
List<List<string>> state = new List<List<string>>();
for (int i = 0; i < n; i++) {
List<string> row = new List<string>();
for (int j = 0; j < n; j++) {
row.Add("#");
}
state.Add(row);
}
bool[] cols = new bool[n]; // 记录列是否有皇后
bool[] diags1 = new bool[2 * n - 1]; // 记录主对角线是否有皇后
bool[] diags2 = new bool[2 * n - 1]; // 记录副对角线是否有皇后
List<List<List<string>>> res = new List<List<List<string>>>();
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "Go"
```go title="n_queens.go"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
func backtrack(row, n int, state *[][]string, res *[][][]string, cols, diags1, diags2 *[]bool) {
// 当放置完所有行时,记录解
if row == n {
newState := make([][]string, len(*state))
for i, _ := range newState {
newState[i] = make([]string, len((*state)[0]))
copy(newState[i], (*state)[i])
[class]{}-[func]{nQueens}
}
*res = append(*res, newState)
}
// 遍历所有列
for col := 0; col < n; col++ {
// 计算该格子对应的主对角线和副对角线
diag1 := row - col + n - 1
diag2 := row + col
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if !(*cols)[col] && !(*diags1)[diag1] && !(*diags2)[diag2] {
// 尝试:将皇后放置在该格子
(*state)[row][col] = "Q"
(*cols)[col], (*diags1)[diag1], (*diags2)[diag2] = true, true, true
// 放置下一行
backtrack(row+1, n, state, res, cols, diags1, diags2)
// 回退:将该格子恢复为空位
(*state)[row][col] = "#"
(*cols)[col], (*diags1)[diag1], (*diags2)[diag2] = false, false, false
}
}
}
/* 回溯算法:N 皇后 */
func backtrack(row, n int, state *[][]string, res *[][][]string, cols, diags1, diags2 *[]bool) {
// 当放置完所有行时,记录解
if row == n {
newState := make([][]string, len(*state))
for i, _ := range newState {
newState[i] = make([]string, len((*state)[0]))
copy(newState[i], (*state)[i])
}
*res = append(*res, newState)
}
// 遍历所有列
for col := 0; col < n; col++ {
// 计算该格子对应的主对角线和副对角线
diag1 := row - col + n - 1
diag2 := row + col
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if !(*cols)[col] && !(*diags1)[diag1] && !(*diags2)[diag2] {
// 尝试:将皇后放置在该格子
(*state)[row][col] = "Q"
(*cols)[col], (*diags1)[diag1], (*diags2)[diag2] = true, true, true
// 放置下一行
backtrack(row+1, n, state, res, cols, diags1, diags2)
// 回退:将该格子恢复为空位
(*state)[row][col] = "#"
(*cols)[col], (*diags1)[diag1], (*diags2)[diag2] = false, false, false
}
}
}
func nQueens(n int) [][][]string {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
state := make([][]string, n)
for i := 0; i < n; i++ {
row := make([]string, n)
for i := 0; i < n; i++ {
row[i] = "#"
}
state[i] = row
}
// 记录列是否有皇后
cols := make([]bool, n)
diags1 := make([]bool, 2*n-1)
diags2 := make([]bool, 2*n-1)
res := make([][][]string, 0)
backtrack(0, n, &state, &res, &cols, &diags1, &diags2)
return res
}
```
=== "Swift"
```swift title="n_queens.swift"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
func backtrack(row: Int, n: Int, state: inout [[String]], res: inout [[[String]]], cols: inout [Bool], diags1: inout [Bool], diags2: inout [Bool]) {
// 当放置完所有行时,记录解
if row == n {
res.append(state)
return
}
// 遍历所有列
for col in 0 ..< n {
// 计算该格子对应的主对角线和副对角线
let diag1 = row - col + n - 1
let diag2 = row + col
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if !cols[col] && !diags1[diag1] && !diags2[diag2] {
// 尝试:将皇后放置在该格子
state[row][col] = "Q"
cols[col] = true
diags1[diag1] = true
diags2[diag2] = true
// 放置下一行
backtrack(row: row + 1, n: n, state: &state, res: &res, cols: &cols, diags1: &diags1, diags2: &diags2)
// 回退:将该格子恢复为空位
state[row][col] = "#"
cols[col] = false
diags1[diag1] = false
diags2[diag2] = false
}
}
}
[class]{}-[func]{nQueens}
/* 求解 N 皇后 */
func nQueens(n: Int) -> [[[String]]] {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
var state = Array(repeating: Array(repeating: "#", count: n), count: n)
var cols = Array(repeating: false, count: n) // 记录列是否有皇后
var diags1 = Array(repeating: false, count: 2 * n - 1) // 记录主对角线是否有皇后
var diags2 = Array(repeating: false, count: 2 * n - 1) // 记录副对角线是否有皇后
var res: [[[String]]] = []
backtrack(row: 0, n: n, state: &state, res: &res, cols: &cols, diags1: &diags1, diags2: &diags2)
return res
}
```
=== "JS"
```javascript title="n_queens.js"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
function backtrack(row, n, state, res, cols, diags1, diags2) {
// 当放置完所有行时,记录解
if (row === n) {
res.push(state.map((row) => row.slice()));
return;
}
// 遍历所有列
for (let col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
const diag1 = row - col + n - 1;
const diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state[row][col] = 'Q';
cols[col] = diags1[diag1] = diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state[row][col] = '#';
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
[class]{}-[func]{nQueens}
/* 求解 N 皇后 */
function nQueens(n) {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
const state = Array.from({ length: n }, () => Array(n).fill('#'));
const cols = Array(n).fill(false); // 记录列是否有皇后
const diags1 = Array(2 * n - 1).fill(false); // 记录主对角线是否有皇后
const diags2 = Array(2 * n - 1).fill(false); // 记录副对角线是否有皇后
const res = [];
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "TS"
```typescript title="n_queens.ts"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
function backtrack(
row: number,
n: number,
state: string[][],
res: string[][][],
cols: boolean[],
diags1: boolean[],
diags2: boolean[]
): void {
// 当放置完所有行时,记录解
if (row === n) {
res.push(state.map((row) => row.slice()));
return;
}
// 遍历所有列
for (let col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
const diag1 = row - col + n - 1;
const diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state[row][col] = 'Q';
cols[col] = diags1[diag1] = diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state[row][col] = '#';
cols[col] = diags1[diag1] = diags2[diag2] = false;
}
}
}
[class]{}-[func]{nQueens}
/* 求解 N 皇后 */
function nQueens(n: number): string[][][] {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
const state = Array.from({ length: n }, () => Array(n).fill('#'));
const cols = Array(n).fill(false); // 记录列是否有皇后
const diags1 = Array(2 * n - 1).fill(false); // 记录主对角线是否有皇后
const diags2 = Array(2 * n - 1).fill(false); // 记录副对角线是否有皇后
const res: string[][][] = [];
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "Dart"
```dart title="n_queens.dart"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
void backtrack(
int row,
int n,
List<List<String>> state,
List<List<List<String>>> res,
List<bool> cols,
List<bool> diags1,
List<bool> diags2,
) {
// 当放置完所有行时,记录解
if (row == n) {
List<List<String>> copyState = [];
for (List<String> sRow in state) {
copyState.add(List.from(sRow));
}
res.add(copyState);
return;
}
// 遍历所有列
for (int col = 0; col < n; col++) {
// 计算该格子对应的主对角线和副对角线
int diag1 = row - col + n - 1;
int diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if (!cols[col] && !diags1[diag1] && !diags2[diag2]) {
// 尝试:将皇后放置在该格子
state[row][col] = "Q";
cols[col] = true;
diags1[diag1] = true;
diags2[diag2] = true;
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state[row][col] = "#";
cols[col] = false;
diags1[diag1] = false;
diags2[diag2] = false;
}
}
}
[class]{}-[func]{nQueens}
/* 求解 N 皇后 */
List<List<List<String>>> nQueens(int n) {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
List<List<String>> state = List.generate(n, (index) => List.filled(n, "#"));
List<bool> cols = List.filled(n, false); // 记录列是否有皇后
List<bool> diags1 = List.filled(2 * n - 1, false); // 记录主对角线是否有皇后
List<bool> diags2 = List.filled(2 * n - 1, false); // 记录副对角线是否有皇后
List<List<List<String>>> res = [];
backtrack(0, n, state, res, cols, diags1, diags2);
return res;
}
```
=== "Rust"
```rust title="n_queens.rs"
[class]{}-[func]{backtrack}
/* 回溯算法:N 皇后 */
fn backtrack(row: usize, n: usize, state: &mut Vec<Vec<String>>, res: &mut Vec<Vec<Vec<String>>>,
cols: &mut [bool], diags1: &mut [bool], diags2: &mut [bool]) {
// 当放置完所有行时,记录解
if row == n {
let mut copy_state: Vec<Vec<String>> = Vec::new();
for s_row in state.clone() {
copy_state.push(s_row);
}
res.push(copy_state);
return;
}
// 遍历所有列
for col in 0..n {
// 计算该格子对应的主对角线和副对角线
let diag1 = row + n - 1 - col;
let diag2 = row + col;
// 剪枝:不允许该格子所在列、主对角线、副对角线存在皇后
if !cols[col] && !diags1[diag1] && !diags2[diag2] {
// 尝试:将皇后放置在该格子
state.get_mut(row).unwrap()[col] = "Q".into();
(cols[col], diags1[diag1], diags2[diag2]) = (true, true, true);
// 放置下一行
backtrack(row + 1, n, state, res, cols, diags1, diags2);
// 回退:将该格子恢复为空位
state.get_mut(row).unwrap()[col] = "#".into();
(cols[col], diags1[diag1], diags2[diag2]) = (false, false, false);
}
}
}
[class]{}-[func]{n_queens}
/* 求解 N 皇后 */
fn n_queens(n: usize) -> Vec<Vec<Vec<String>>> {
// 初始化 n*n 大小的棋盘,其中 'Q' 代表皇后,'#' 代表空位
let mut state: Vec<Vec<String>> = Vec::new();
for _ in 0..n {
let mut row: Vec<String> = Vec::new();
for _ in 0..n {
row.push("#".into());
}
state.push(row);
}
let mut cols = vec![false; n]; // 记录列是否有皇后
let mut diags1 = vec![false; 2 * n - 1]; // 记录主对角线是否有皇后
let mut diags2 = vec![false; 2 * n - 1]; // 记录副对角线是否有皇后
let mut res: Vec<Vec<Vec<String>>> = Vec::new();
backtrack(0, n, &mut state, &mut res, &mut cols, &mut diags1, &mut diags2);
res
}
```
=== "C"
+664 -42
View File
@@ -58,89 +58,411 @@ comments: true
=== "Python"
```python title="permutations_i.py"
[class]{}-[func]{backtrack}
def backtrack(
state: list[int], choices: list[int], selected: list[bool], res: list[list[int]]
):
"""回溯算法:全排列 I"""
# 当状态长度等于元素数量时,记录解
if len(state) == len(choices):
res.append(list(state))
return
# 遍历所有选择
for i, choice in enumerate(choices):
# 剪枝:不允许重复选择元素
if not selected[i]:
# 尝试:做出选择,更新状态
selected[i] = True
state.append(choice)
# 进行下一轮选择
backtrack(state, choices, selected, res)
# 回退:撤销选择,恢复到之前的状态
selected[i] = False
state.pop()
[class]{}-[func]{permutations_i}
def permutations_i(nums: list[int]) -> list[list[int]]:
"""全排列 I"""
res = []
backtrack(state=[], choices=nums, selected=[False] * len(nums), res=res)
return res
```
=== "C++"
```cpp title="permutations_i.cpp"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
void backtrack(vector<int> &state, const vector<int> &choices, vector<bool> &selected, vector<vector<int>> &res) {
// 当状态长度等于元素数量时,记录解
if (state.size() == choices.size()) {
res.push_back(state);
return;
}
// 遍历所有选择
for (int i = 0; i < choices.size(); i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.push_back(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop_back();
}
}
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
vector<vector<int>> permutationsI(vector<int> nums) {
vector<int> state;
vector<bool> selected(nums.size(), false);
vector<vector<int>> res;
backtrack(state, nums, selected, res);
return res;
}
```
=== "Java"
```java title="permutations_i.java"
[class]{permutations_i}-[func]{backtrack}
/* 回溯算法:全排列 I */
void backtrack(List<Integer> state, int[] choices, boolean[] selected, List<List<Integer>> res) {
// 当状态长度等于元素数量时,记录解
if (state.size() == choices.length) {
res.add(new ArrayList<Integer>(state));
return;
}
// 遍历所有选择
for (int i = 0; i < choices.length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.remove(state.size() - 1);
}
}
}
[class]{permutations_i}-[func]{permutationsI}
/* 全排列 I */
List<List<Integer>> permutationsI(int[] nums) {
List<List<Integer>> res = new ArrayList<List<Integer>>();
backtrack(new ArrayList<Integer>(), nums, new boolean[nums.length], res);
return res;
}
```
=== "C#"
```csharp title="permutations_i.cs"
[class]{permutations_i}-[func]{backtrack}
/* 回溯算法:全排列 I */
void backtrack(List<int> state, int[] choices, bool[] selected, List<List<int>> res) {
// 当状态长度等于元素数量时,记录解
if (state.Count == choices.Length) {
res.Add(new List<int>(state));
return;
}
// 遍历所有选择
for (int i = 0; i < choices.Length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.Add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.RemoveAt(state.Count - 1);
}
}
}
[class]{permutations_i}-[func]{permutationsI}
/* 全排列 I */
List<List<int>> permutationsI(int[] nums) {
List<List<int>> res = new List<List<int>>();
backtrack(new List<int>(), nums, new bool[nums.Length], res);
return res;
}
```
=== "Go"
```go title="permutations_i.go"
[class]{}-[func]{backtrackI}
/* 回溯算法:全排列 I */
func backtrackI(state *[]int, choices *[]int, selected *[]bool, res *[][]int) {
// 当状态长度等于元素数量时,记录解
if len(*state) == len(*choices) {
newState := append([]int{}, *state...)
*res = append(*res, newState)
}
// 遍历所有选择
for i := 0; i < len(*choices); i++ {
choice := (*choices)[i]
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if !(*selected)[i] {
// 尝试:做出选择,更新状态
(*selected)[i] = true
*state = append(*state, choice)
// 进行下一轮选择
backtrackI(state, choices, selected, res)
// 回退:撤销选择,恢复到之前的状态
(*selected)[i] = false
*state = (*state)[:len(*state)-1]
}
}
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
func permutationsI(nums []int) [][]int {
res := make([][]int, 0)
state := make([]int, 0)
selected := make([]bool, len(nums))
backtrackI(&state, &nums, &selected, &res)
return res
}
```
=== "Swift"
```swift title="permutations_i.swift"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
func backtrack(state: inout [Int], choices: [Int], selected: inout [Bool], res: inout [[Int]]) {
// 当状态长度等于元素数量时,记录解
if state.count == choices.count {
res.append(state)
return
}
// 遍历所有选择
for (i, choice) in choices.enumerated() {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if !selected[i] {
// 尝试:做出选择,更新状态
selected[i] = true
state.append(choice)
// 进行下一轮选择
backtrack(state: &state, choices: choices, selected: &selected, res: &res)
// 回退:撤销选择,恢复到之前的状态
selected[i] = false
state.removeLast()
}
}
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
func permutationsI(nums: [Int]) -> [[Int]] {
var state: [Int] = []
var selected = Array(repeating: false, count: nums.count)
var res: [[Int]] = []
backtrack(state: &state, choices: nums, selected: &selected, res: &res)
return res
}
```
=== "JS"
```javascript title="permutations_i.js"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
function backtrack(state, choices, selected, res) {
// 当状态长度等于元素数量时,记录解
if (state.length === choices.length) {
res.push([...state]);
return;
}
// 遍历所有选择
choices.forEach((choice, i) => {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop();
}
});
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
function permutationsI(nums) {
const res = [];
backtrack([], nums, Array(nums.length).fill(false), res);
return res;
}
```
=== "TS"
```typescript title="permutations_i.ts"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
function backtrack(
state: number[],
choices: number[],
selected: boolean[],
res: number[][]
): void {
// 当状态长度等于元素数量时,记录解
if (state.length === choices.length) {
res.push([...state]);
return;
}
// 遍历所有选择
choices.forEach((choice, i) => {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop();
}
});
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
function permutationsI(nums: number[]): number[][] {
const res: number[][] = [];
backtrack([], nums, Array(nums.length).fill(false), res);
return res;
}
```
=== "Dart"
```dart title="permutations_i.dart"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
void backtrack(
List<int> state,
List<int> choices,
List<bool> selected,
List<List<int>> res,
) {
// 当状态长度等于元素数量时,记录解
if (state.length == choices.length) {
res.add(List.from(state));
return;
}
// 遍历所有选择
for (int i = 0; i < choices.length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i]) {
// 尝试:做出选择,更新状态
selected[i] = true;
state.add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.removeLast();
}
}
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
List<List<int>> permutationsI(List<int> nums) {
List<List<int>> res = [];
backtrack([], nums, List.filled(nums.length, false), res);
return res;
}
```
=== "Rust"
```rust title="permutations_i.rs"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
fn backtrack(mut state: Vec<i32>, choices: &[i32], selected: &mut [bool], res: &mut Vec<Vec<i32>>) {
// 当状态长度等于元素数量时,记录解
if state.len() == choices.len() {
res.push(state);
return;
}
// 遍历所有选择
for i in 0..choices.len() {
let choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if !selected[i] {
// 尝试:做出选择,更新状态
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state.clone(), choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.remove(state.len() - 1);
}
}
}
[class]{}-[func]{permutations_i}
/* 全排列 I */
fn permutations_i(nums: &mut [i32]) -> Vec<Vec<i32>> {
let mut res = Vec::new(); // 状态(子集)
backtrack(Vec::new(), nums, &mut vec![false; nums.len()], &mut res);
res
}
```
=== "C"
```c title="permutations_i.c"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 I */
void backtrack(vector *state, vector *choices, vector *selected, vector *res) {
// 当状态长度等于元素数量时,记录解
if (state->size == choices->size) {
vector *newState = newVector();
for (int i = 0; i < state->size; i++) {
vectorPushback(newState, state->data[i], sizeof(int));
}
vectorPushback(res, newState, sizeof(vector));
return;
}
// 遍历所有选择
for (int i = 0; i < choices->size; i++) {
int *choice = malloc(sizeof(int));
*choice = *((int *)(choices->data[i]));
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
bool select = *((bool *)(selected->data[i]));
if (!select) {
// 尝试:做出选择,更新状态
*((bool *)selected->data[i]) = true;
vectorPushback(state, choice, sizeof(int));
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
*((bool *)selected->data[i]) = false;
vectorPopback(state);
}
}
}
[class]{}-[func]{permutationsI}
/* 全排列 I */
vector *permutationsI(vector *nums) {
vector *iState = newVector();
int select[3] = {false, false, false};
vector *bSelected = newVector();
for (int i = 0; i < nums->size; i++) {
vectorPushback(bSelected, &select[i], sizeof(int));
}
vector *res = newVector();
// 前序遍历
backtrack(iState, nums, bSelected, res);
return res;
}
```
=== "Zig"
@@ -186,81 +508,381 @@ comments: true
=== "Python"
```python title="permutations_ii.py"
[class]{}-[func]{backtrack}
def backtrack(
state: list[int], choices: list[int], selected: list[bool], res: list[list[int]]
):
"""回溯算法:全排列 II"""
# 当状态长度等于元素数量时,记录解
if len(state) == len(choices):
res.append(list(state))
return
# 遍历所有选择
duplicated = set[int]()
for i, choice in enumerate(choices):
# 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if not selected[i] and choice not in duplicated:
# 尝试:做出选择,更新状态
duplicated.add(choice) # 记录选择过的元素值
selected[i] = True
state.append(choice)
# 进行下一轮选择
backtrack(state, choices, selected, res)
# 回退:撤销选择,恢复到之前的状态
selected[i] = False
state.pop()
[class]{}-[func]{permutations_ii}
def permutations_ii(nums: list[int]) -> list[list[int]]:
"""全排列 II"""
res = []
backtrack(state=[], choices=nums, selected=[False] * len(nums), res=res)
return res
```
=== "C++"
```cpp title="permutations_ii.cpp"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
void backtrack(vector<int> &state, const vector<int> &choices, vector<bool> &selected, vector<vector<int>> &res) {
// 当状态长度等于元素数量时,记录解
if (state.size() == choices.size()) {
res.push_back(state);
return;
}
// 遍历所有选择
unordered_set<int> duplicated;
for (int i = 0; i < choices.size(); i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && duplicated.find(choice) == duplicated.end()) {
// 尝试:做出选择,更新状态
duplicated.emplace(choice); // 记录选择过的元素值
selected[i] = true;
state.push_back(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop_back();
}
}
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
vector<vector<int>> permutationsII(vector<int> nums) {
vector<int> state;
vector<bool> selected(nums.size(), false);
vector<vector<int>> res;
backtrack(state, nums, selected, res);
return res;
}
```
=== "Java"
```java title="permutations_ii.java"
[class]{permutations_ii}-[func]{backtrack}
/* 回溯算法:全排列 II */
void backtrack(List<Integer> state, int[] choices, boolean[] selected, List<List<Integer>> res) {
// 当状态长度等于元素数量时,记录解
if (state.size() == choices.length) {
res.add(new ArrayList<Integer>(state));
return;
}
// 遍历所有选择
Set<Integer> duplicated = new HashSet<Integer>();
for (int i = 0; i < choices.length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && !duplicated.contains(choice)) {
// 尝试:做出选择,更新状态
duplicated.add(choice); // 记录选择过的元素值
selected[i] = true;
state.add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.remove(state.size() - 1);
}
}
}
[class]{permutations_ii}-[func]{permutationsII}
/* 全排列 II */
List<List<Integer>> permutationsII(int[] nums) {
List<List<Integer>> res = new ArrayList<List<Integer>>();
backtrack(new ArrayList<Integer>(), nums, new boolean[nums.length], res);
return res;
}
```
=== "C#"
```csharp title="permutations_ii.cs"
[class]{permutations_ii}-[func]{backtrack}
/* 回溯算法:全排列 II */
void backtrack(List<int> state, int[] choices, bool[] selected, List<List<int>> res) {
// 当状态长度等于元素数量时,记录解
if (state.Count == choices.Length) {
res.Add(new List<int>(state));
return;
}
// 遍历所有选择
ISet<int> duplicated = new HashSet<int>();
for (int i = 0; i < choices.Length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && !duplicated.Contains(choice)) {
// 尝试:做出选择,更新状态
duplicated.Add(choice); // 记录选择过的元素值
selected[i] = true;
state.Add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.RemoveAt(state.Count - 1);
}
}
}
[class]{permutations_ii}-[func]{permutationsII}
/* 全排列 II */
List<List<int>> permutationsII(int[] nums) {
List<List<int>> res = new List<List<int>>();
backtrack(new List<int>(), nums, new bool[nums.Length], res);
return res;
}
```
=== "Go"
```go title="permutations_ii.go"
[class]{}-[func]{backtrackII}
/* 回溯算法:全排列 II */
func backtrackII(state *[]int, choices *[]int, selected *[]bool, res *[][]int) {
// 当状态长度等于元素数量时,记录解
if len(*state) == len(*choices) {
newState := append([]int{}, *state...)
*res = append(*res, newState)
}
// 遍历所有选择
duplicated := make(map[int]struct{}, 0)
for i := 0; i < len(*choices); i++ {
choice := (*choices)[i]
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if _, ok := duplicated[choice]; !ok && !(*selected)[i] {
// 尝试:做出选择,更新状态
// 记录选择过的元素值
duplicated[choice] = struct{}{}
(*selected)[i] = true
*state = append(*state, choice)
// 进行下一轮选择
backtrackI(state, choices, selected, res)
// 回退:撤销选择,恢复到之前的状态
(*selected)[i] = false
*state = (*state)[:len(*state)-1]
}
}
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
func permutationsII(nums []int) [][]int {
res := make([][]int, 0)
state := make([]int, 0)
selected := make([]bool, len(nums))
backtrackII(&state, &nums, &selected, &res)
return res
}
```
=== "Swift"
```swift title="permutations_ii.swift"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
func backtrack(state: inout [Int], choices: [Int], selected: inout [Bool], res: inout [[Int]]) {
// 当状态长度等于元素数量时,记录解
if state.count == choices.count {
res.append(state)
return
}
// 遍历所有选择
var duplicated: Set<Int> = []
for (i, choice) in choices.enumerated() {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if !selected[i], !duplicated.contains(choice) {
// 尝试:做出选择,更新状态
duplicated.insert(choice) // 记录选择过的元素值
selected[i] = true
state.append(choice)
// 进行下一轮选择
backtrack(state: &state, choices: choices, selected: &selected, res: &res)
// 回退:撤销选择,恢复到之前的状态
selected[i] = false
state.removeLast()
}
}
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
func permutationsII(nums: [Int]) -> [[Int]] {
var state: [Int] = []
var selected = Array(repeating: false, count: nums.count)
var res: [[Int]] = []
backtrack(state: &state, choices: nums, selected: &selected, res: &res)
return res
}
```
=== "JS"
```javascript title="permutations_ii.js"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
function backtrack(state, choices, selected, res) {
// 当状态长度等于元素数量时,记录解
if (state.length === choices.length) {
res.push([...state]);
return;
}
// 遍历所有选择
const duplicated = new Set();
choices.forEach((choice, i) => {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && !duplicated.has(choice)) {
// 尝试:做出选择,更新状态
duplicated.add(choice); // 记录选择过的元素值
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop();
}
});
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
function permutationsII(nums) {
const res = [];
backtrack([], nums, Array(nums.length).fill(false), res);
return res;
}
```
=== "TS"
```typescript title="permutations_ii.ts"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
function backtrack(
state: number[],
choices: number[],
selected: boolean[],
res: number[][]
): void {
// 当状态长度等于元素数量时,记录解
if (state.length === choices.length) {
res.push([...state]);
return;
}
// 遍历所有选择
const duplicated = new Set();
choices.forEach((choice, i) => {
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && !duplicated.has(choice)) {
// 尝试:做出选择,更新状态
duplicated.add(choice); // 记录选择过的元素值
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.pop();
}
});
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
function permutationsII(nums: number[]): number[][] {
const res: number[][] = [];
backtrack([], nums, Array(nums.length).fill(false), res);
return res;
}
```
=== "Dart"
```dart title="permutations_ii.dart"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
void backtrack(
List<int> state,
List<int> choices,
List<bool> selected,
List<List<int>> res,
) {
// 当状态长度等于元素数量时,记录解
if (state.length == choices.length) {
res.add(List.from(state));
return;
}
// 遍历所有选择
Set<int> duplicated = {};
for (int i = 0; i < choices.length; i++) {
int choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if (!selected[i] && !duplicated.contains(choice)) {
// 尝试:做出选择,更新状态
duplicated.add(choice); // 记录选择过的元素值
selected[i] = true;
state.add(choice);
// 进行下一轮选择
backtrack(state, choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.removeLast();
}
}
}
[class]{}-[func]{permutationsII}
/* 全排列 II */
List<List<int>> permutationsII(List<int> nums) {
List<List<int>> res = [];
backtrack([], nums, List.filled(nums.length, false), res);
return res;
}
```
=== "Rust"
```rust title="permutations_ii.rs"
[class]{}-[func]{backtrack}
/* 回溯算法:全排列 II */
fn backtrack(mut state: Vec<i32>, choices: &[i32], selected: &mut [bool], res: &mut Vec<Vec<i32>>) {
// 当状态长度等于元素数量时,记录解
if state.len() == choices.len() {
res.push(state);
return;
}
// 遍历所有选择
let mut duplicated = HashSet::<i32>::new();
for i in 0..choices.len() {
let choice = choices[i];
// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
if !selected[i] && !duplicated.contains(&choice) {
// 尝试:做出选择,更新状态
duplicated.insert(choice); // 记录选择过的元素值
selected[i] = true;
state.push(choice);
// 进行下一轮选择
backtrack(state.clone(), choices, selected, res);
// 回退:撤销选择,恢复到之前的状态
selected[i] = false;
state.remove(state.len() - 1);
}
}
}
[class]{}-[func]{permutations_ii}
/* 全排列 II */
fn permutations_ii(nums: &mut [i32]) -> Vec<Vec<i32>> {
let mut res = Vec::new();
backtrack(Vec::new(), nums, &mut vec![false; nums.len()], &mut res);
res
}
```
=== "C"
File diff suppressed because it is too large Load Diff