Solving Leetcode Interviews in Seconds with AI: Maximum Score From Removing Substrings
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1717" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
You are given a string s and two integers x and y. You can perform two types of operations any number of times. Remove substring "ab" and gain x points. For example, when removing "ab" from "cabxbae" it becomes "cxbae". Remove substring "ba" and gain y points. For example, when removing "ba" from "cabxbae" it becomes "cabxe". Return the maximum points you can gain after applying the above operations on s. Example 1: Input: s = "cdbcbbaaabab", x = 4, y = 5 Output: 19 Explanation: - Remove the "ba" underlined in "cdbcbbaaabab". Now, s = "cdbcbbaaab" and 5 points are added to the score. - Remove the "ab" underlined in "cdbcbbaaab". Now, s = "cdbcbbaa" and 4 points are added to the score. - Remove the "ba" underlined in "cdbcbbaa". Now, s = "cdbcba" and 5 points are added to the score. - Remove the "ba" underlined in "cdbcba". Now, s = "cdbc" and 5 points are added to the score. Total score = 5 + 4 + 5 + 5 = 19. Example 2: Input: s = "aabbaaxybbaabb", x = 5, y = 4 Output: 20 Constraints: 1 <= s.length <= 105 1 <= x, y <= 104 s consists of lowercase English letters.
Explanation
Here's a breakdown of the solution:
- Prioritization: The core idea is to prioritize removing the substring that yields the most points (either "ab" or "ba") first.
- Stack-based Processing: Use stacks to efficiently identify and remove occurrences of "ab" and "ba" while keeping track of potential removals.
Iterative Optimization: Iteratively process the string, removing the more valuable substring until no more removals are possible, then move on to removing the less valuable substring.
Runtime Complexity: O(n), where n is the length of the string.
- Storage Complexity: O(n) in the worst case, due to the stacks.
Code
def max_points(s: str, x: int, y: int) -> int:
"""
Calculates the maximum points achievable by removing "ab" and "ba" substrings.
"""
score = 0
if x > y:
pattern1, pattern2 = "ab", "ba"
score1, score2 = x, y
else:
pattern1, pattern2 = "ba", "ab"
score1, score2 = y, x
stack = []
for char in s:
stack.append(char)
while len(stack) >= 2:
top = stack[-1]
second_top = stack[-2]
if second_top + top == pattern1:
score += score1
stack.pop()
stack.pop()
else:
break
temp_string = "".join(stack)
stack = []
for char in temp_string:
stack.append(char)
while len(stack) >= 2:
top = stack[-1]
second_top = stack[-2]
if second_top + top == pattern2:
score += score2
stack.pop()
stack.pop()
else:
break
return score