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feat: Add the section of permutations problem. (#476)
* Add the section of permutations problem. * Update permutations_problem.md
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@@ -0,0 +1,48 @@
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/**
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* File: permutations_i.cpp
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* Created Time: 2023-04-24
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* Author: Krahets (krahets@163.com)
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*/
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#include "../include/include.hpp"
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/* 回溯算法:全排列 I */
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void backtrack(vector<int> &state, const vector<int> &choices, vector<bool> &selected, vector<vector<int>> &res) {
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// 当状态长度等于元素数量时,记录解
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if (state.size() == choices.size()) {
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res.push_back(state);
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return;
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}
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// 遍历所有选择
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for (int i = 0; i < choices.size(); i++) {
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int choice = choices[i];
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// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
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if (!selected[i]) {
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// 尝试
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selected[i] = true; // 做出选择
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state.push_back(choice); // 更新状态
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backtrack(state, choices, selected, res);
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// 回退
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selected[i] = false; // 撤销选择
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state.pop_back(); // 恢复到之前的状态
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}
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}
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}
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/* Driver Code */
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int main() {
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vector<int> nums = {1, 2, 3};
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// 回溯算法
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vector<int> state;
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vector<bool> selected(nums.size(), false);
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vector<vector<int>> res;
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backtrack(state, nums, selected, res);
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cout << "输入数组 nums = ";
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printVector(nums);
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cout << "所有排列 res = ";
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printVectorMatrix(res);
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return 0;
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}
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@@ -0,0 +1,50 @@
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/**
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* File: permutations_ii.cpp
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* Created Time: 2023-04-24
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* Author: Krahets (krahets@163.com)
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*/
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#include "../include/include.hpp"
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/* 回溯算法:全排列 II */
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void backtrack(vector<int> &state, const vector<int> &choices, vector<bool> &selected, vector<vector<int>> &res) {
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// 当状态长度等于元素数量时,记录解
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if (state.size() == choices.size()) {
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res.push_back(state);
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return;
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}
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// 遍历所有选择
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unordered_set<int> duplicated;
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for (int i = 0; i < choices.size(); i++) {
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int choice = choices[i];
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// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
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if (!selected[i] && duplicated.find(choice) == duplicated.end()) {
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// 尝试
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duplicated.emplace(choice); // 记录选择过的元素值
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selected[i] = true; // 做出选择
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state.push_back(choice); // 更新状态
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backtrack(state, choices, selected, res);
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// 回退
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selected[i] = false; // 撤销选择
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state.pop_back(); // 恢复到之前的状态
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}
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}
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}
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/* Driver Code */
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int main() {
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vector<int> nums = {1, 1, 2};
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// 回溯算法
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vector<int> state;
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vector<bool> selected(nums.size(), false);
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vector<vector<int>> res;
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backtrack(state, nums, selected, res);
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cout << "输入数组 nums = ";
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printVector(nums);
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cout << "所有排列 res = ";
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printVectorMatrix(res);
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return 0;
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}
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@@ -0,0 +1,45 @@
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/**
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* File: permutations_i.java
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* Created Time: 2023-04-24
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* Author: Krahets (krahets@163.com)
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*/
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package chapter_backtracking;
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import java.util.*;
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public class permutations_i {
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/* 回溯算法:全排列 I */
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public static void backtrack(List<Integer> state, int[] choices, boolean[] selected, List<List<Integer>> res) {
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// 当状态长度等于元素数量时,记录解
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if (state.size() == choices.length) {
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res.add(new ArrayList<Integer>(state));
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return;
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}
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// 遍历所有选择
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for (int i = 0; i < choices.length; i++) {
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int choice = choices[i];
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// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
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if (!selected[i]) {
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// 尝试
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selected[i] = true; // 做出选择
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state.add(choice); // 更新状态
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backtrack(state, choices, selected, res);
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// 回退
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selected[i] = false; // 撤销选择
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state.remove(state.size() - 1); // 恢复到之前的状态
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}
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}
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}
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public static void main(String[] args) {
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int[] nums = { 1, 2, 3 };
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List<List<Integer>> res = new ArrayList<List<Integer>>();
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// 回溯算法
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backtrack(new ArrayList<Integer>(), nums, new boolean[nums.length], res);
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System.out.println("输入数组 nums = " + Arrays.toString(nums));
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System.out.println("所有排列 res = " + res);
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}
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}
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@@ -0,0 +1,47 @@
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/**
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* File: permutations_ii.java
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* Created Time: 2023-04-24
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* Author: Krahets (krahets@163.com)
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*/
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package chapter_backtracking;
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import java.util.*;
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public class permutations_ii {
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/* 回溯算法:全排列 II */
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public static void backtrack(List<Integer> state, int[] choices, boolean[] selected, List<List<Integer>> res) {
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// 当状态长度等于元素数量时,记录解
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if (state.size() == choices.length) {
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res.add(new ArrayList<Integer>(state));
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return;
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}
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// 遍历所有选择
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Set<Integer> duplicated = new HashSet<Integer>();
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for (int i = 0; i < choices.length; i++) {
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int choice = choices[i];
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// 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
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if (!selected[i] && !duplicated.contains(choice)) {
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// 尝试
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duplicated.add(choice); // 记录选择过的元素值
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selected[i] = true; // 做出选择
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state.add(choice); // 更新状态
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backtrack(state, choices, selected, res);
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// 回退
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selected[i] = false; // 撤销选择
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state.remove(state.size() - 1); // 恢复到之前的状态
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}
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}
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}
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public static void main(String[] args) {
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int[] nums = { 1, 2, 2 };
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List<List<Integer>> res = new ArrayList<List<Integer>>();
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// 回溯算法
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backtrack(new ArrayList<Integer>(), nums, new boolean[nums.length], res);
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System.out.println("输入数组 nums = " + Arrays.toString(nums));
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System.out.println("所有排列 res = " + res);
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}
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}
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@@ -54,6 +54,9 @@ def traverse(nums: list[int]) -> None:
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# 直接遍历数组
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for num in nums:
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count += 1
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# 同时遍历数据索引和元素
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for i, num in enumerate(nums):
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count += 1
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def find(nums: list[int], target: int) -> int:
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@@ -0,0 +1,43 @@
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"""
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File: permutations_i.py
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Created Time: 2023-04-15
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Author: Krahets (krahets@163.com)
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"""
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import sys, os.path as osp
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from modules import *
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def backtrack(
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state: list[int], choices: list[int], selected: list[bool], res: list[list[int]]
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):
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"""回溯算法:全排列 I"""
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# 当状态长度等于元素数量时,记录解
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if len(state) == len(choices):
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res.append(list(state))
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return
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# 遍历所有选择
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for i, choice in enumerate(choices):
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# 剪枝:不允许重复选择元素
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if not selected[i]:
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# 尝试
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selected[i] = True # 做出选择
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state.append(choice) # 更新状态
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backtrack(state, choices, selected, res)
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# 回退
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selected[i] = False # 撤销选择
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state.pop() # 恢复到之前的状态
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"""Driver Code"""
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if __name__ == "__main__":
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nums = [1, 2, 3]
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res = []
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# 回溯算法
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backtrack(state=[], choices=nums, selected=[False] * len(nums), res=res)
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print(f"输入数组 nums = {nums}")
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print(f"所有排列 res = {res}")
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@@ -0,0 +1,45 @@
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"""
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File: permutations_ii.py
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Created Time: 2023-04-15
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Author: Krahets (krahets@163.com)
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"""
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import sys, os.path as osp
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sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
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from modules import *
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def backtrack(
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state: list[int], choices: list[int], selected: list[bool], res: list[list[int]]
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):
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"""回溯算法:全排列 II"""
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# 当状态长度等于元素数量时,记录解
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if len(state) == len(choices):
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res.append(list(state))
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return
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# 遍历所有选择
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duplicated = set[int]()
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for i, choice in enumerate(choices):
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# 剪枝:不允许重复选择元素 且 不允许重复选择相等元素
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if not selected[i] and choice not in duplicated:
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# 尝试
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duplicated.add(choice) # 记录选择过的元素值
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selected[i] = True # 做出选择
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state.append(choice) # 更新状态
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backtrack(state, choices, selected, res)
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# 回退
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selected[i] = False # 撤销选择
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state.pop() # 恢复到之前的状态
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"""Driver Code"""
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if __name__ == "__main__":
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nums = [1, 2, 2]
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res = []
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# 回溯算法
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backtrack(state=[], choices=nums, selected=[False] * len(nums), res=res)
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print(f"输入数组 nums = {nums}")
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print(f"所有排列 res = {res}")
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