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Solving Leetcode Interviews in Seconds with AI: Find the Minimum Possible Sum of a Beautiful Array

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3 min read

Introduction

In this blog post, we will explore how to solve the LeetCode problem "2834" 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 positive integers n and target. An array nums is beautiful if it meets the following conditions: nums.length == n. nums consists of pairwise distinct positive integers. There doesn't exist two distinct indices, i and j, in the range [0, n - 1], such that nums[i] + nums[j] == target. Return the minimum possible sum that a beautiful array could have modulo 109 + 7. Example 1: Input: n = 2, target = 3 Output: 4 Explanation: We can see that nums = [1,3] is beautiful. - The array nums has length n = 2. - The array nums consists of pairwise distinct positive integers. - There doesn't exist two distinct indices, i and j, with nums[i] + nums[j] == 3. It can be proven that 4 is the minimum possible sum that a beautiful array could have. Example 2: Input: n = 3, target = 3 Output: 8 Explanation: We can see that nums = [1,3,4] is beautiful. - The array nums has length n = 3. - The array nums consists of pairwise distinct positive integers. - There doesn't exist two distinct indices, i and j, with nums[i] + nums[j] == 3. It can be proven that 8 is the minimum possible sum that a beautiful array could have. Example 3: Input: n = 1, target = 1 Output: 1 Explanation: We can see, that nums = [1] is beautiful. Constraints: 1 <= n <= 109 1 <= target <= 109

Explanation

Here's the solution:

  • Key Idea: To minimize the sum, we should include the smallest possible numbers. We include numbers less than target/2 only if their complement (target - num) is not already included. To minimize the sum, preferentially exclude numbers less than target/2. We include all numbers greater than or equal to target/2 up to n numbers in total.
  • Efficient Calculation: Instead of iterating, we can directly calculate the sum of arithmetic series for numbers less than target/2 that need to be skipped and then calculate the sum of the remaining numbers.
  • Modulo Arithmetic: Perform all calculations modulo 109 + 7 to prevent overflow.

  • Complexity:

    • Runtime Complexity: O(1)
    • Storage Complexity: O(1)

Code

    def solve():
    n = int(input())
    target = int(input())
    MOD = 10**9 + 7

    count_less_than_half = target // 2

    if n <= count_less_than_half:
        start = target
        end = target + n - 1
        ans = (n * (start + end) // 2) % MOD
    else:
        sum_less_than_half = (count_less_than_half * (count_less_than_half + 1) // 2) % MOD

        remaining = n - count_less_than_half

        start = target
        end = target + remaining - 1

        sum_greater_than_half = (remaining * (start + end) // 2) % MOD

        ans = (sum_less_than_half + sum_greater_than_half) % MOD

    print(ans)

solve()

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Solving Leetcode Interviews in Seconds with AI: Find the Minimum Possible Sum of a Beautiful Array