Problem Statement:
You are given an integer array nums
of length n
. The task is to create a new array ans
of length 2n
such that ans[i] == nums[i]
and ans[i + n] == nums[i]
for 0 <= i < n
(0-indexed). In simpler terms, the array ans
is formed by concatenating two copies of the array nums
.
Solution Approach:
To solve this problem, we can iterate over the indices of the new array ans
, which has a length of 2n
. At each index i
, we assign the value of nums[i % n]
to ans[i]
. This effectively cycles through the elements of nums
twice to fill up the ans
array.
Let's break down the steps of the solution:
- Calculate the length of the input array:First, we determine the length of the input array
nums
and store it in a variablen
. - Initialize an empty array to store the result:We create an empty array
ans
where we will store the concatenated array. - Iterate over indices of the new array:Using a
for
loop, we iterate over the indices of the new arrayans
, which ranges from0
to2n - 1
. - Assign values to the new array:At each index
i
, we assign the value ofnums[i % n]
toans[i]
. Here,i % n
ensures that we cycle through the elements ofnums
. - Return the concatenated array:Finally, we return the concatenated array
ans
as the result.
Python Code with Comments:
from typing import List
class Solution:
def getConcatenation(self, nums: List[int]) -> List[int]:
# Calculate the length of the input array
n = len(nums)
# Initialize an empty array to store the concatenated array
ans = []
# Iterate over indices of the new array
for i in range(2 * n):
# Assign values to the new array
ans.append(nums[i % n]) # Cycling through the elements of nums
# Return the concatenated array
return ans
# Example usage:
# nums = [1, 2, 3]
# solution = Solution()
# concatenated_array = solution.getConcatenation(nums)
# print(concatenated_array)
Conclusion:
In this post, we've discussed a coding problem that involves concatenating an integer array with itself to create a new array. We've provided a step-by-step explanation of the solution approach and presented the corresponding Python code with comments to help you understand the implementation. I hope this blog post has been helpful in understanding how to solve this problem efficiently in Python. Thank you for reading!