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Leetcode #2216: Minimum Deletions to Make Array Beautiful

In this guide, we solve Leetcode #2216 Minimum Deletions to Make Array Beautiful in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

You are given a 0-indexed integer array nums. The array nums is beautiful if: nums.length is even.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Stack, Greedy, Array

Intuition

A locally optimal choice leads to a globally optimal result for this structure.

That means we can commit to decisions as we scan without backtracking.

Approach

Sort or preprocess if needed, then repeatedly take the best available local choice.

Maintain the minimal state necessary to validate the greedy decision.

Steps:

  • Sort or preprocess as needed.
  • Iterate and pick the best local option.
  • Track the current solution.

Example

Input: nums = [1,1,2,3,5] Output: 1 Explanation: You can delete either nums[0] or nums[1] to make nums = [1,2,3,5] which is beautiful. It can be proven you need at least 1 deletion to make nums beautiful.

Python Solution

class Solution: def minDeletion(self, nums: List[int]) -> int: n = len(nums) i = ans = 0 while i < n - 1: if nums[i] == nums[i + 1]: ans += 1 i += 1 else: i += 2 ans += (n - ans) % 2 return ans

Complexity

The time complexity is O(n)O(n)O(n), where nnn is the length of the array. The space complexity is O(1)O(1)O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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