LeetCode 467: Unique Substrings in Wraparound String Solution
Master LeetCode problem 467 (Unique Substrings in Wraparound String), a medium 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.
467. Unique Substrings in Wraparound String
Problem Explanation
Explanation:
To solve this problem, we can iterate through the input string s and keep track of the longest contiguous substring ending at each character. We can use an array count to store the maximum length of substring ending at each character. Then, we can calculate the total number of unique substrings by summing up the values in the count array.
Algorithmic Idea:
- Initialize an array
countof size 26 to store the maximum length of substring ending at each character. - Iterate through the input string
s. - For each character in
s, update the maximum length of substring ending at that character. - Calculate the total number of unique substrings by summing up the values in the
countarray.
Time Complexity:
The time complexity of this algorithm is O(n), where n is the length of the input string s.
Space Complexity:
The space complexity of this algorithm is O(1) since we are using a constant amount of extra space.
:
Solution Code
class Solution {
public int findSubstringInWraproundString(String s) {
if (s == null || s.length() == 0) {
return 0;
}
int[] count = new int[26];
int maxLength = 0;
for (int i = 0; i < s.length(); i++) {
if (i > 0 && (s.charAt(i) == s.charAt(i - 1) + 1 || s.charAt(i) == s.charAt(i - 1) - 25)) {
maxLength++;
} else {
maxLength = 1;
}
int index = s.charAt(i) - 'a';
count[index] = Math.max(count[index], maxLength);
}
return Arrays.stream(count).sum();
}
}Try It Yourself
Loading code editor...
Related LeetCode Problems
Frequently Asked Questions
How to solve LeetCode 467 (Unique Substrings in Wraparound String)?
This page provides optimized solutions for LeetCode problem 467 (Unique Substrings in Wraparound String) in Java, C++, and Python, along with a detailed explanation and an interactive code editor to test your code.
What is the time complexity of LeetCode 467 (Unique Substrings in Wraparound String)?
The time complexity for LeetCode 467 (Unique Substrings in Wraparound String) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.
Can I run code for LeetCode 467 on DevExCode?
Yes, DevExCode provides an interactive code editor where you can write, test, and run your code for LeetCode 467 in Java, C++, or Python.