README_EN.md

comments	difficulty	edit_url	tags
true	Easy	https://github.com/doocs/leetcode/edit/main/solution/0200-0299/0217.Contains%20Duplicate/README_EN.md	Array Hash Table Sorting

217. Contains Duplicate

中文文档

Description

Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct.

 

Example 1:

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

Example 2:

Input: nums = [1,2,3,4]
Output: false

Example 3:

Input: nums = [1,1,1,3,3,4,3,2,4,2]
Output: true

 

Constraints:

• 1 <= nums.length <= 105
• -109 <= nums[i] <= 109

Solutions

Solution 1: Sorting

First, we sort the array nums.

Then, we traverse the array. If there are two adjacent elements that are the same, it means that there are duplicate elements in the array, and we directly return true.

Otherwise, when the traversal ends, we return false.

The time complexity is $O(n \times \log n)$, where $n$ is the length of the array nums.

Python3

class Solution:
    def containsDuplicate(self, nums: List[int]) -> bool:
        return any(a == b for a, b in pairwise(sorted(nums)))

Java

class Solution {
    public boolean containsDuplicate(int[] nums) {
        Arrays.sort(nums);
        for (int i = 0; i < nums.length - 1; ++i) {
            if (nums[i] == nums[i + 1]) {
                return true;
            }
        }
        return false;
    }
}

C++

class Solution {
public:
    bool containsDuplicate(vector<int>& nums) {
        sort(nums.begin(), nums.end());
        for (int i = 0; i < nums.size() - 1; ++i) {
            if (nums[i] == nums[i + 1]) {
                return true;
            }
        }
        return false;
    }
};

Go

func containsDuplicate(nums []int) bool {
	sort.Ints(nums)
	for i, v := range nums[1:] {
		if v == nums[i] {
			return true
		}
	}
	return false
}

TypeScript

function containsDuplicate(nums: number[]): boolean {
    nums.sort((a, b) => a - b);
    const n = nums.length;
    for (let i = 1; i < n; i++) {
        if (nums[i - 1] === nums[i]) {
            return true;
        }
    }
    return false;
}

Rust

impl Solution {
    pub fn contains_duplicate(mut nums: Vec<i32>) -> bool {
        nums.sort();
        let n = nums.len();
        for i in 1..n {
            if nums[i - 1] == nums[i] {
                return true;
            }
        }
        false
    }
}

JavaScript

/**
 * @param {number[]} nums
 * @return {boolean}
 */
var containsDuplicate = function (nums) {
    return new Set(nums).size !== nums.length;
};

C#

public class Solution {
    public bool ContainsDuplicate(int[] nums) {
        return nums.Distinct().Count() < nums.Length;
    }
}

PHP

class Solution {
    /**
     * @param Integer[] $nums
     * @return Boolean
     */
    function containsDuplicate($nums) {
        $numsUnique = array_unique($nums);
        return count($nums) != count($numsUnique);
    }
}

C

int cmp(const void* a, const void* b) {
    return *(int*) a - *(int*) b;
}

bool containsDuplicate(int* nums, int numsSize) {
    qsort(nums, numsSize, sizeof(int), cmp);
    for (int i = 1; i < numsSize; i++) {
        if (nums[i - 1] == nums[i]) {
            return 1;
        }
    }
    return 0;
}

Solution 2: Hash Table

We traverse the array and record the elements that have appeared in the hash table $s$. If an element appears for the second time, it means that there are duplicate elements in the array, and we directly return true.

The time complexity is $O(n)$, and the space complexity is $O(n)$, where $n$ is the length of the array nums.

Python3

class Solution:
    def containsDuplicate(self, nums: List[int]) -> bool:
        return len(set(nums)) < len(nums)

Java

class Solution {
    public boolean containsDuplicate(int[] nums) {
        Set<Integer> s = new HashSet<>();
        for (int num : nums) {
            if (!s.add(num)) {
                return true;
            }
        }
        return false;
    }
}

C++

class Solution {
public:
    bool containsDuplicate(vector<int>& nums) {
        unordered_set<int> s(nums.begin(), nums.end());
        return s.size() < nums.size();
    }
};

Go

func containsDuplicate(nums []int) bool {
	s := map[int]bool{}
	for _, v := range nums {
		if s[v] {
			return true
		}
		s[v] = true
	}
	return false
}

TypeScript

function containsDuplicate(nums: number[]): boolean {
    return new Set<number>(nums).size !== nums.length;
}

Rust

use std::collections::HashSet;
impl Solution {
    pub fn contains_duplicate(nums: Vec<i32>) -> bool {
        nums.iter().collect::<HashSet<&i32>>().len() != nums.len()
    }
}