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Leetcode #1929: Concatenation of Array

In this guide, we solve Leetcode #1929 Concatenation of Array 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

Given an integer array nums of length n, you want to create an array ans of length 2n where ans[i] == nums[i] and ans[i + n] == nums[i] for 0 <= i < n (0-indexed). Specifically, ans is the concatenation of two nums arrays.

Quick Facts

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

Intuition

The rules are explicit, so simulating the process step by step is safest.

Careful state updates prevent subtle bugs.

Approach

Translate the rules into state updates and apply them in order.

Track the final state or aggregate as required.

Steps:

  • Translate rules into state updates.
  • Iterate for each step.
  • Return the final state.

Example

Input: nums = [1,2,1] Output: [1,2,1,1,2,1] Explanation: The array ans is formed as follows: - ans = [nums[0],nums[1],nums[2],nums[0],nums[1],nums[2]] - ans = [1,2,1,1,2,1]

Python Solution

class Solution: def getConcatenation(self, nums: List[int]) -> List[int]: return nums + nums

Complexity

The time complexity is O(n)O(n)O(n), and the space complexity is O(n)O(n)O(n). The space complexity is O(n)O(n)O(n).

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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