Solving Leetcode Interviews in Seconds with AI: Increasing Decreasing String
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1370" 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. Reorder the string using the following algorithm: Remove the smallest character from s and append it to the result. Remove the smallest character from s that is greater than the last appended character, and append it to the result. Repeat step 2 until no more characters can be removed. Remove the largest character from s and append it to the result. Remove the largest character from s that is smaller than the last appended character, and append it to the result. Repeat step 5 until no more characters can be removed. Repeat steps 1 through 6 until all characters from s have been removed. If the smallest or largest character appears more than once, you may choose any occurrence to append to the result. Return the resulting string after reordering s using this algorithm. Example 1: Input: s = "aaaabbbbcccc" Output: "abccbaabccba" Explanation: After steps 1, 2 and 3 of the first iteration, result = "abc" After steps 4, 5 and 6 of the first iteration, result = "abccba" First iteration is done. Now s = "aabbcc" and we go back to step 1 After steps 1, 2 and 3 of the second iteration, result = "abccbaabc" After steps 4, 5 and 6 of the second iteration, result = "abccbaabccba" Example 2: Input: s = "rat" Output: "art" Explanation: The word "rat" becomes "art" after re-ordering it with the mentioned algorithm. Constraints: 1 <= s.length <= 500 s consists of only lowercase English letters.
Explanation
Here's a breakdown of the solution:
- Character Frequency: Maintain a frequency count of each character in the input string. This allows us to efficiently determine the smallest/largest available characters.
- Iterative Reordering: Iteratively build the reordered string, alternating between ascending and descending character selection as described in the algorithm.
Frequency Update: After appending a character to the result, decrement its count in the frequency map.
Time Complexity: O(n), where n is the length of the string.
- Space Complexity: O(1), as the character frequency map has a fixed size (26).
Code
def reorder_string(s: str) -> str:
"""
Reorders the string according to the given algorithm.
"""
counts = {}
for char in s:
counts[char] = counts.get(char, 0) + 1
result = ""
ascending = True
while len(result) < len(s):
if ascending:
last_char = ''
for char in sorted(counts.keys()):
if last_char == '' or char > last_char:
if counts[char] > 0:
result += char
counts[char] -= 1
last_char = char
else:
last_char = ''
for char in sorted(counts.keys(), reverse=True):
if last_char == '' or char < last_char:
if counts[char] > 0:
result += char
counts[char] -= 1
last_char = char
ascending = not ascending
# Clean up empty counts, otherwise it will lead to infinite loops
keys_to_remove = []
for char in counts:
if counts[char] == 0:
keys_to_remove.append(char)
for key in keys_to_remove:
del counts[key]
return result