Longest Repeating Character Replacement
To solve this coding challenge, we'll need to implement a strategy that maintains the length of the longest substring with repeating characters after allowing at most
changes in the characters.
k
Explanation
The problem can be elegantly solved using a sliding window technique. This approach helps manage a dynamic window that can 'slide' over the string, expanding and contracting as needed to find the maximum length of the desired substring. Here's a step-by-step approach to understand how the solution works:- Understanding the Sliding Window :
- We initialize a window that starts at the beginning of the string.
- We will expand the window by including characters from the right.
-
If the condition that the number of characters to be replaced exceeds
k
- Character Count Management :
- We need to keep track of the frequency of characters within the current window. This can be managed using a dictionary or a list that tracks occurrences of each character.
- Max Frequency Character :
- Within the current window, keep track of the count of the most frequent character.
-
This helps in determining if the current window length minus the max frequency character is within the allowable replacements (
k
- Adjusting the Window :
-
If the window length (right - left + 1) minus the count of the most frequent character is greater than
k
k
- Recording the Maximum Length :
- Keep track of the maximum length of such a window during this entire process.
- Initialization :
-
max_length
-
max_frequency
-
left_pointer
-
char_count
- Sliding the Window :
-
Loop through the string using a
right_pointer
-
For each character
s[right_pointer]
char_count
-
Update
max_frequency
- Window Adjustment :
-
If the number of characters to replace within the current window exceeds
k
left_pointer
-
Decrement the count of the character at
left_pointer
char_count
- Recording Maximum Length :
-
Each time the window is adjusted, calculate and update
max_length
Pseudocode
// Initialize variables
max_length = 0 // To store the length of the longest valid substring found
max_frequency = 0 // To store the count of the most frequently occurring character in the current window
left_pointer = 0 // Start of the current window
char_count = {} // Dictionary to store the frequency of each character in the current window
// Loop through each character in the string using right_pointer
for right_pointer from 0 to len(s) - 1:
// Include character at right_pointer in the window, increment its count
char_count[s[right_pointer]] = char_count.get(s[right_pointer], 0) + 1
// Update max_frequency with the frequency of the most common character in current window
max_frequency = max(max_frequency, char_count[s[right_pointer]])
// Check if current window size minus maximum character frequency is greater than k
if (right_pointer - left_pointer + 1 - max_frequency) > k:
// If condition is true, shrink window from the left
char_count[s[left_pointer]] -= 1
left_pointer += 1
// Calculate and update max_length
max_length = max(max_length, right_pointer - left_pointer + 1)
return max_length