LeetCode 3258: Count Substrings That Satisfy K-Constraint I Solution

Master LeetCode problem 3258 (Count Substrings That Satisfy K-Constraint I), a easy challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

3258. Count Substrings That Satisfy K-Constraint I

Easy

String Sliding Window

Problem Explanation

Explanation:

To solve this problem, we can iterate over all possible substrings of the given binary string s and count the number of 0's and 1's in each substring. If the count of either 0's or 1's in the substring is at most k, then we increment the count of valid substrings.

Algorithm:

Initialize a variable count to keep track of the number of valid substrings.
Iterate over all possible substrings of the input string s.
For each substring, count the number of 0's and 1's.
If either count is at most k, increment the count variable.
Return the final count of valid substrings.

Time Complexity:

The time complexity of this approach is O(n^3), where n is the length of the input string s.

Space Complexity:

The space complexity is O(1) as we are not using any extra space proportional to the input size.

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Solution Code

class Solution {
    public int countSubstrings(String s, int k) {
        int count = 0;
        for (int i = 0; i < s.length(); i++) {
            for (int j = i + 1; j <= s.length(); j++) {
                int zeroCount = 0, oneCount = 0;
                for (int idx = i; idx < j; idx++) {
                    if (s.charAt(idx) == '0') {
                        zeroCount++;
                    } else {
                        oneCount++;
                    }
                }
                if (zeroCount <= k || oneCount <= k) {
                    count++;
                }
            }
        }
        return count;
    }
}

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What is the time complexity of LeetCode 3258 (Count Substrings That Satisfy K-Constraint I)?

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