1248. Count Number of Nice Subarrays

1248. Count Number of Nice Subarrays (Medium)

Given an array of integers nums and an integer k. A continuous subarray is called nice if there are k odd numbers on it.

Return the number of nice sub-arrays.

 

Example 1:

Input: nums = [1,1,2,1,1], k = 3
Output: 2
Explanation: The only sub-arrays with 3 odd numbers are [1,1,2,1] and [1,2,1,1].

Example 2:

Input: nums = [2,4,6], k = 1
Output: 0
Explanation: There is no odd numbers in the array.

Example 3:

Input: nums = [2,2,2,1,2,2,1,2,2,2], k = 2
Output: 16

 

Constraints:

• 1 <= nums.length <= 50000
• 1 <= nums[i] <= 10^5
• 1 <= k <= nums.length

Related Topics:
Two Pointers

Solution 1. Map

Use a map m to store the mapping from the count of odd numbers cnt to the first index in the array that has cnt numbers in front of it and including itself.

When cnt >= k, we add m[cnt - k + 1] - m[cnt - k] to the answer.

// OJ: https://leetcode.com/problems/count-number-of-nice-subarrays/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
    int numberOfSubarrays(vector<int>& A, int k) {
        int N = A.size(), cnt = 0, ans = 0;
        unordered_map<int, int> m{{0,-1}};
        for (int i = 0; i < N; ++i) {
            cnt += A[i] % 2;
            if (m.count(cnt) == 0) m[cnt] = i;
            if (cnt >= k) ans += m[cnt - k + 1] - m[cnt - k]; 
        }
        return ans;
    }
};

Solution 2. Two Pointers

Assume the current pointer is j and the corresponding odd number count is cj, we need two pointers to get the answer.

The first pointer i is the index whose corresponding odd number count is cj - k + 1.

The second pointer prev is the index whose corresponding odd number count is cj - k.

So when cj >= k, we add i - prev to the answer.

// OJ: https://leetcode.com/problems/count-number-of-nice-subarrays/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
    int numberOfSubarrays(vector<int>& A, int k) {
        int N = A.size(), i = 0, j = 0, prev = -1, ans = 0, ci = 0, cj = 0;
        while (j < N) {
            cj += A[j++] % 2;
            if (ci <= cj - k) {
                prev = i;
                while (ci <= cj - k) ci += A[i++] % 2;
            }
            if (cj >= k) ans += i - prev;
        }
        return ans;
    }
};

Or use a single count.

// OJ: https://leetcode.com/problems/count-number-of-nice-subarrays/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
    int numberOfSubarrays(vector<int>& A, int k) {
        int N = A.size(), i = 0, j = 0, prev = -1, ans = 0, cnt = 0;
        while (j < N) {
            int c = A[j++] % 2;
            cnt += c;
            if (c && cnt >= k) {
                prev = i;
                while (A[i] % 2 == 0) ++i;
                ++i;
            }
            if (cnt >= k) ans += i - prev;
        }
        return ans;
    }
};

Solution 3. At Most

Exactly k times = At Most k times - At Most k - 1 times.

// OJ: https://leetcode.com/problems/count-number-of-nice-subarrays/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
// Ref: https://leetcode.com/problems/count-number-of-nice-subarrays/discuss/419378/JavaC%2B%2BPython-Sliding-Window-O(1)-Space
class Solution {
    int atMost(vector<int> &A, int k) {
        int N = A.size(), i = 0, ans = 0;
        for (int j = 0; j < N; ++j) {
            k -= A[j] % 2;
            while (k < 0) k += A[i++] % 2;
            ans += j - i;
        }
        return ans;
    }
public:
    int numberOfSubarrays(vector<int>& A, int k) {
        return atMost(A, k) - atMost(A, k - 1);
    }
};