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Leetcode #2562: Find the Array Concatenation Value

In this guide, we solve Leetcode #2562 Find the Array Concatenation Value 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 concatenation of two numbers is the number formed by concatenating their numerals.

Quick Facts

  • Difficulty: Easy
  • Premium: No
  • Tags: Array, Two Pointers, Simulation

Intuition

The constraints hint that we can reason about two ends of the data at once, which is perfect for a two-pointer scan.

Moving one pointer at a time keeps the invariant intact and avoids nested loops.

Approach

Place pointers at the left and right ends and move them based on the comparison or target condition.

This yields a clean linear pass after any required sorting.

Steps:

  • Set left and right pointers.
  • Move a pointer based on the condition.
  • Update the best answer while scanning.

Example

Input: nums = [7,52,2,4] Output: 596 Explanation: Before performing any operation, nums is [7,52,2,4] and concatenation value is 0. - In the first operation: We pick the first element, 7, and the last element, 4. Their concatenation is 74, and we add it to the concatenation value, so it becomes equal to 74. Then we delete them from nums, so nums becomes equal to [52,2]. - In the second operation: We pick the first element, 52, and the last element, 2. Their concatenation is 522, and we add it to the concatenation value, so it becomes equal to 596. Then we delete them from the nums, so nums becomes empty. Since the concatenation value is 596 so the answer is 596.

Python Solution

class Solution: def findTheArrayConcVal(self, nums: List[int]) -> int: ans = 0 i, j = 0, len(nums) - 1 while i < j: ans += int(str(nums[i]) + str(nums[j])) i, j = i + 1, j - 1 if i == j: ans += nums[i] return ans

Complexity

The time complexity is O(n×log⁡M)O(n \times \log M)O(n×logM), and the space complexity is O(log⁡M)O(\log M)O(logM). The space complexity is O(log⁡M)O(\log M)O(logM).

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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