You are given a string s
and an integer k
. You can choose any
character of the string and change it to any other uppercase English
character. You can perform this operation at most k
times.
Return the length of the longest substring containing the same letter you can get after performing the above operations.
The solution uses the sliding window technique. The right bound increases with each iteration. But the left bound only increases (and decreases the size of the sliding window) if the current window needs more than 'k' steps to become a substring of uniform characters. How do we calculate the steps that the current window needs? We take the length of the window (end - start + 1) and subtract that with the occurrence of the most frequent letter in the window. This means that we must also keep track of each letter's frequency in an unordered map.
class Solution {
public:
int characterReplacement(string s, int k) {
int n = (int)s.length();
unordered_map<char, int> count; // character frequencies in the sliding window
int max_length = 0; // longest consecutive substring so far (after operations). Eventually our answer.
int most_freq_letter = 0; // most frequent char in the sliding window
int start = 0;
for (int end = 0; end < n; ++end) // 'end' loops through the string normally
{
++count[s[end]]; // update current char count
most_freq_letter = max(most_freq_letter, count[s[end]]); // whether current char has higher freq
if ((end - start + 1) - most_freq_letter > k) // compare "no. of operations we must do", with k
{
--count[s[start]]; // decrease s[start]'s freq because we're about to shrink
++start; // shrink window on the left
}
max_length = max(max_length, end - start + 1);
}
return max_length;
}
};