Solving Leetcode Interviews in Seconds with AI: Minimum Operations to Make Character Frequencies Equal
Introduction
In this blog post, we will explore how to solve the LeetCode problem "3389" 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. A string t is called good if all characters of t occur the same number of times. You can perform the following operations any number of times: Delete a character from s. Insert a character in s. Change a character in s to its next letter in the alphabet. Note that you cannot change 'z' to 'a' using the third operation. Return the minimum number of operations required to make s good. Example 1: Input: s = "acab" Output: 1 Explanation: We can make s good by deleting one occurrence of character 'a'. Example 2: Input: s = "wddw" Output: 0 Explanation: We do not need to perform any operations since s is initially good. Example 3: Input: s = "aaabc" Output: 2 Explanation: We can make s good by applying these operations: Change one occurrence of 'a' to 'b' Insert one occurrence of 'c' into s Constraints: 3 <= s.length <= 2 * 104 s contains only lowercase English letters.
Explanation
Here's the solution to the problem:
High-Level Approach:
- Count character frequencies.
- Iterate through all possible valid frequencies (from 1 to n, where n is the string length). For each target frequency, calculate the minimum operations needed to make all characters have that frequency.
- Return the minimum operations found across all valid frequencies.
Complexity:
- Runtime: O(n), Storage: O(1) (where n is the length of the input string)
Code
def min_operations_to_make_good(s: str) -> int:
"""
Calculates the minimum number of operations required to make a string "good".
A string is considered "good" if all its characters occur the same number of times.
"""
n = len(s)
counts = {}
for char in s:
counts[char] = counts.get(char, 0) + 1
min_ops = float('inf')
for target_freq in range(1, n + 1):
ops = 0
diffs = []
valid_chars = 0
for char, count in counts.items():
if count >= target_freq:
ops += count - target_freq
valid_chars+=1
else:
diffs.append(count)
valid_chars+=1
if valid_chars < 26 and target_freq * 26 < n:
continue
remaining_chars = n - sum(counts.values())
ops += sum(diffs)
needed_chars = 0
for i in range(26):
char = chr(ord('a') + i)
if char not in counts and (target_freq > 0 and target_freq * (26 - len(counts)) < n):
needed_chars += 1
if needed_chars > 0 and target_freq * (26 - len(counts)) > (n - sum(counts.values())):
continue
min_ops = min(min_ops, ops)
return min_ops