README_EN.md

comments	difficulty	edit_url	rating	source	tags
true	Easy	https://github.com/doocs/leetcode/edit/main/solution/2300-2399/2395.Find%20Subarrays%20With%20Equal%20Sum/README_EN.md	1249	Biweekly Contest 86 Q1	Array Hash Table

2395. Find Subarrays With Equal Sum

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Description

Given a 0-indexed integer array nums, determine whether there exist two subarrays of length 2 with equal sum. Note that the two subarrays must begin at different indices.

Return true if these subarrays exist, and false otherwise.

A subarray is a contiguous non-empty sequence of elements within an array.

 

Example 1:

Input: nums = [4,2,4]
Output: true
Explanation: The subarrays with elements [4,2] and [2,4] have the same sum of 6.

Example 2:

Input: nums = [1,2,3,4,5]
Output: false
Explanation: No two subarrays of size 2 have the same sum.

Example 3:

Input: nums = [0,0,0]
Output: true
Explanation: The subarrays [nums[0],nums[1]] and [nums[1],nums[2]] have the same sum of 0. 
Note that even though the subarrays have the same content, the two subarrays are considered different because they are in different positions in the original array.

 

Constraints:

• 2 <= nums.length <= 1000
• -109 <= nums[i] <= 109

Solutions

Solution 1: Hash Table

We can traverse the array $nums$, and use a hash table $vis$ to record the sum of every two adjacent elements in the array. If the sum of the current two elements has already appeared in the hash table, then return true. Otherwise, add the sum of the current two elements to the hash table.

If we finish traversing and haven't found two subarrays that meet the condition, return false.

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 findSubarrays(self, nums: List[int]) -> bool:
        vis = set()
        for a, b in pairwise(nums):
            if (x := a + b) in vis:
                return True
            vis.add(x)
        return False

Java

class Solution {
    public boolean findSubarrays(int[] nums) {
        Set<Integer> vis = new HashSet<>();
        for (int i = 1; i < nums.length; ++i) {
            if (!vis.add(nums[i - 1] + nums[i])) {
                return true;
            }
        }
        return false;
    }
}

C++

class Solution {
public:
    bool findSubarrays(vector<int>& nums) {
        unordered_set<int> vis;
        for (int i = 1; i < nums.size(); ++i) {
            int x = nums[i - 1] + nums[i];
            if (vis.count(x)) {
                return true;
            }
            vis.insert(x);
        }
        return false;
    }
};

Go

func findSubarrays(nums []int) bool {
	vis := map[int]bool{}
	for i, b := range nums[1:] {
		x := nums[i] + b
		if vis[x] {
			return true
		}
		vis[x] = true
	}
	return false
}

TypeScript

function findSubarrays(nums: number[]): boolean {
    const vis: Set<number> = new Set<number>();
    for (let i = 1; i < nums.length; ++i) {
        const x = nums[i - 1] + nums[i];
        if (vis.has(x)) {
            return true;
        }
        vis.add(x);
    }
    return false;
}

Rust

use std::collections::HashSet;
impl Solution {
    pub fn find_subarrays(nums: Vec<i32>) -> bool {
        let n = nums.len();
        let mut set = HashSet::new();
        for i in 1..n {
            if !set.insert(nums[i - 1] + nums[i]) {
                return true;
            }
        }
        false
    }
}

C

bool findSubarrays(int* nums, int numsSize) {
    for (int i = 1; i < numsSize - 1; i++) {
        for (int j = i + 1; j < numsSize; j++) {
            if (nums[i - 1] + nums[i] == nums[j - 1] + nums[j]) {
                return true;
            }
        }
    }
    return false;
}