1524. Number of Sub-arrays With Odd Sum
Description
Given an array of integers arr
, return the number of subarrays with an odd sum.
Since the answer can be very large, return it modulo 109 + 7
.
Example 1:
Input: arr = [1,3,5] Output: 4 Explanation: All subarrays are [[1],[1,3],[1,3,5],[3],[3,5],[5]] All sub-arrays sum are [1,4,9,3,8,5]. Odd sums are [1,9,3,5] so the answer is 4.
Example 2:
Input: arr = [2,4,6] Output: 0 Explanation: All subarrays are [[2],[2,4],[2,4,6],[4],[4,6],[6]] All sub-arrays sum are [2,6,12,4,10,6]. All sub-arrays have even sum and the answer is 0.
Example 3:
Input: arr = [1,2,3,4,5,6,7] Output: 16
Constraints:
1 <= arr.length <= 105
1 <= arr[i] <= 100
Solutions
Solution 1: Prefix Sum + Counter
We define an array $\textit{cnt}$ of length 2 as a counter, where $\textit{cnt}[0]$ and $\textit{cnt}[1]$ represent the number of subarrays with even and odd prefix sums, respectively. Initially, $\textit{cnt}[0] = 1$ and $\textit{cnt}[1] = 0$.
Next, we maintain the current prefix sum $s$, initially $s = 0$.
Traverse the array $\textit{arr}$, for each element $x$ encountered, add the value of $x$ to $s$, then based on the parity of $s$, add the value of $\textit{cnt}[s \mod 2 \oplus 1]$ to the answer, and then increment the value of $\textit{cnt}[s \mod 2]$ by 1.
After the traversal, we get the answer. Note the modulo operation for the answer.
Time complexity is $O(n)$, where $n$ is the length of the array $\textit{arr}$. Space complexity is $O(1)$.
Python3
class Solution:
def numOfSubarrays(self, arr: List[int]) -> int:
mod = 10**9 + 7
cnt = [1, 0]
ans = s = 0
for x in arr:
s += x
ans = (ans + cnt[s & 1 ^ 1]) % mod
cnt[s & 1] += 1
return ans
Java
class Solution {
public int numOfSubarrays(int[] arr) {
final int mod = (int) 1e9 + 7;
int[] cnt = {1, 0};
int ans = 0, s = 0;
for (int x : arr) {
s += x;
ans = (ans + cnt[s & 1 ^ 1]) % mod;
++cnt[s & 1];
}
return ans;
}
}
C++
class Solution {
public:
int numOfSubarrays(vector<int>& arr) {
const int mod = 1e9 + 7;
int cnt[2] = {1, 0};
int ans = 0, s = 0;
for (int x : arr) {
s += x;
ans = (ans + cnt[s & 1 ^ 1]) % mod;
++cnt[s & 1];
}
return ans;
}
};
Go
func numOfSubarrays(arr []int) (ans int) {
const mod int = 1e9 + 7
cnt := [2]int{1, 0}
s := 0
for _, x := range arr {
s += x
ans = (ans + cnt[s&1^1]) % mod
cnt[s&1]++
}
return
}
TypeScript
function numOfSubarrays(arr: number[]): number {
let ans = 0;
let s = 0;
const cnt: number[] = [1, 0];
const mod = 1e9 + 7;
for (const x of arr) {
s += x;
ans = (ans + cnt[(s & 1) ^ 1]) % mod;
cnt[s & 1]++;
}
return ans;
}
Rust
impl Solution {
pub fn num_of_subarrays(arr: Vec<i32>) -> i32 {
const MOD: i32 = 1_000_000_007;
let mut cnt = [1, 0];
let mut ans = 0;
let mut s = 0;
for &x in arr.iter() {
s += x;
ans = (ans + cnt[((s & 1) ^ 1) as usize]) % MOD;
cnt[(s & 1) as usize] += 1;
}
ans
}
}