46. Permutations

Description

Given an array nums of distinct integers, return all the possible permutations. You can return the answer in any order.

Example 1:

Input: nums = [1,2,3]
Output: [[1,2,3],[1,3,2],[2,1,3],[2,3,1],[3,1,2],[3,2,1]]

Example 2:

Input: nums = [0,1]
Output: [[0,1],[1,0]]

Example 3:

Input: nums = [1]
Output: [[1]]

Constraints:

1 <= nums.length <= 6
-10 <= nums[i] <= 10
All the integers of nums are unique.

Solutions

Solution 1: DFS (Backtracking)

We design a function $dfs(i)$ to represent that the first $i$ positions have been filled, and now we need to fill the $i+1$ position. We enumerate all possible numbers, if this number has not been filled, we fill in this number, and then continue to fill the next position, until all positions are filled.

The time complexity is $O(n \times n!)$, where $n$ is the length of the array. There are $n!$ permutations in total, and each permutation takes $O(n)$ time to construct.

class Solution {
    private List<List<Integer>> ans = new ArrayList<>();
    private List<Integer> t = new ArrayList<>();
    private boolean[] vis;
    private int[] nums;

    public List<List<Integer>> permute(int[] nums) {
        this.nums = nums;
        vis = new boolean[nums.length];
        dfs(0);
        return ans;
    }

    private void dfs(int i) {
        if (i == nums.length) {
            ans.add(new ArrayList<>(t));
            return;
        }
        for (int j = 0; j < nums.length; ++j) {
            if (!vis[j]) {
                vis[j] = true;
                t.add(nums[j]);
                dfs(i + 1);
                t.remove(t.size() - 1);
                vis[j] = false;
            }
        }
    }
}

class Solution {
public:
    vector<vector<int>> permute(vector<int>& nums) {
        int n = nums.size();
        vector<vector<int>> ans;
        vector<int> t(n);
        vector<bool> vis(n);
        function<void(int)> dfs = [&](int i) {
            if (i == n) {
                ans.emplace_back(t);
                return;
            }
            for (int j = 0; j < n; ++j) {
                if (!vis[j]) {
                    vis[j] = true;
                    t[i] = nums[j];
                    dfs(i + 1);
                    vis[j] = false;
                }
            }
        };
        dfs(0);
        return ans;
    }
};

'''
remove an element by its value from a set

>>> my_set = {1, 2, 3, 4, 5}
>>> my_set.remove(3)
>>> print(my_set)
{1, 2, 4, 5}

------

cannot remove an element by index from a set in Python3
need to convert the set to a list

>>> my_set = {1, 2, 3, 4, 5}
>>> my_list = list(my_set)
>>> del my_list[2] # remove the element at index 2
>>> my_set = set(my_list)
>>> print(my_set)
{1, 2, 4, 5}
'''

class Solution: # iterative
    def permute(self, nums: List[int]) -> List[List[int]]:
        res = [[]]

        if nums is None or len(nums) == 0:
            return ans

        for num in nums:
            new_res = []
            for perm in res:
                for i in range(len(perm) + 1):
                    new_perm = perm[:i] + [num] + perm[i:]
                    new_res.append(new_perm)

            res = new_res

        return res

##############

class Solution: # iterative, single_perm.insert(index, num)
    def permute(self, nums: List[int]) -> List[List[int]]:
        ans = [[]]

        if nums is None or len(nums) == 0:
            return ans

        for num in nums:
            tmp_list = []

            for single_perm in ans:
                for index in range(len(single_perm) + 1):
                    single_perm.insert(index, num)
                    tmp_list.append(single_perm.copy())
                    single_perm.pop(index)

            ans = tmp_list

        return ans

##############

'''
In Python 3, both the discard() and remove() methods of a set object are used to remove an element from the set, but there is one key difference:

* discard() removes the specified element from the set if it is present, but does nothing if the element is not present.
* remove() removes the specified element from the set if it is present, but raises a KeyError exception if the element is not present.


>>> a
{33, 66, 11, 44, 22, 55}
>>> a.discard(22)
>>> a
{33, 66, 11, 44, 55}

>>> a.discard(200)
>>>
>>> a.remove(200)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 200
'''

'''
>>> v1 = set([])
>>> v2 = set()
>>>
>>> v1
set()
>>> v2
set()
'''
class Solution:
    def permute(self, nums: List[int]) -> List[List[int]]:
        res = []
        visited = set([])

        def dfs(nums, path, res, visited):
            if len(path) == len(nums):
                res.append(path + [])
                return

            for i in range(0, len(nums)):
                if i not in visited:
                    visited.add(i)
                    path.append(nums[i])
                    dfs(nums, path, res, visited)
                    path.pop()
                    visited.discard(i) # remove(i) will throw exception if i not existing

        dfs(nums, [], res, visited)
        return res

############

class Solution:
    def permute(self, nums: List[int]) -> List[List[int]]:
        def dfs(i):
            if i == n:
                ans.append(t[:])
                return
            for j in range(n):
                if not vis[j]:
                    vis[j] = True
                    t[i] = nums[j]
                    dfs(i + 1)
                    vis[j] = False

        n = len(nums)
        vis = [False] * n
        t = [0] * n
        ans = []
        dfs(0)
        return ans

func permute(nums []int) (ans [][]int) {
	n := len(nums)
	t := make([]int, n)
	vis := make([]bool, n)
	var dfs func(int)
	dfs = func(i int) {
		if i == n {
			ans = append(ans, slices.Clone(t))
			return
		}
		for j, v := range nums {
			if !vis[j] {
				vis[j] = true
				t[i] = v
				dfs(i + 1)
				vis[j] = false
			}
		}
	}
	dfs(0)
	return
}

function permute(nums: number[]): number[][] {
    const n = nums.length;
    const res: number[][] = [];
    const dfs = (i: number) => {
        if (i === n) {
            res.push([...nums]);
        }
        for (let j = i; j < n; j++) {
            [nums[i], nums[j]] = [nums[j], nums[i]];
            dfs(i + 1);
            [nums[i], nums[j]] = [nums[j], nums[i]];
        }
    };
    dfs(0);
    return res;
}

/**
 * @param {number[]} nums
 * @return {number[][]}
 */
var permute = function (nums) {
    const n = nums.length;
    const ans = [];
    const t = [];
    const vis = new Array(n).fill(false);
    function dfs(i) {
        if (i >= n) {
            ans.push([...t]);
            return;
        }
        for (let j = 0; j < n; ++j) {
            if (!vis[j]) {
                vis[j] = true;
                t.push(nums[j]);
                dfs(i + 1);
                vis[j] = false;
                t.pop();
            }
        }
    }
    dfs(0);
    return ans;
};

public class Solution {
    public IList<IList<int>> Permute(int[] nums) {
        var ans = new List<IList<int>>();
        var t = new List<int>();
        var vis = new bool[nums.Length];
        dfs(nums, 0, t, vis, ans);
        return ans;
    }

    private void dfs(int[] nums, int i, IList<int> t, bool[] vis, IList<IList<int>> ans) {
        if (i >= nums.Length) {
            ans.Add(new List<int>(t));
            return;
        }
        for (int j = 0; j < nums.Length; ++j) {
            if (!vis[j]) {
                vis[j] = true;
                t.Add(nums[j]);
                dfs(nums, i + 1, t, vis, ans);
                t.RemoveAt(t.Count - 1);
                vis[j] = false;
            }
        }
    }
}

impl Solution {
    fn dfs(i: usize, nums: &mut Vec<i32>, res: &mut Vec<Vec<i32>>) {
        let n = nums.len();
        if i == n {
            res.push(nums.clone());
            return;
        }
        for j in i..n {
            nums.swap(i, j);
            Self::dfs(i + 1, nums, res);
            nums.swap(i, j);
        }
    }

    pub fn permute(mut nums: Vec<i32>) -> Vec<Vec<i32>> {
        let mut res = vec![];
        Self::dfs(0, &mut nums, &mut res);
        res
    }
}

46 - Permutations

46. Permutations

Description

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46. Permutations

Description

Solutions

All Problems

All Solutions