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Solving Leetcode Interviews in Seconds with AI: Minimum Operations to Make Character Frequencies Equal

Updated
3 min read

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

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