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How to Solve Find X-Sum of All K-Long Subarrays II Problem
Master the Find X-Sum of All K-Long Subarrays II LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemFind X-Sum of All K-Long Subarrays II
You are given an array nums of n integers and two integers k and x. The x-sum of an array is calculated by the following procedure: Note that if an array has less than x distinct elements, its x-sum is the sum of the array. Return an integer array answer of length n - k + 1 where answer[i] is the x-sum of the subarray nums[i..i + k - 1].
ArrayHash TableSliding WindowHeap (Priority Queue)
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Problem Breakdown
Understanding the Find X-Sum of All K-Long Subarrays II Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an array nums of n integers and two integers k and x. The x-sum of an array is calculated by the following procedure: Note that if an array has less than x distinct elements, its x-sum is the sum of the array. Return an integer array answer of length n - k + 1 where answer[i] is the x-sum of the subarray nums[i..i + k - 1].
HardProblem #3321
LeetCodeFind X-Sum of All K-Long Subarrays II
Related Topics
ArrayHash TableSliding WindowHeap (Priority Queue)
How Phantom Code Helps
Get real-time assistance for Find X-Sum of All K-Long Subarrays II problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums = [1,1,2,2,3,4,2,3], k = 6, x = 2
Output
[6,10,12]
# Example 2
Input
nums = [3,8,7,8,7,5], k = 2, x = 2
Output
[11,15,15,15,12]
Constraints
nums.length == n
1 <= n <= 105
1 <= nums[i] <= 109
1 <= x <= k <= nums.length
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Solve Find X-Sum of All K-Long Subarrays II — You are given an array nums of n integers and two integers k and x. The x-sum of...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Find X-Sum of All K-Long Subarrays II and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Find X-Sum of All K-Long Subarrays II during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Find X-Sum of All K-Long Subarrays II?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Find X-Sum of All K-Long Subarrays II?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Find X-Sum of All K-Long Subarrays II type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Find X-Sum of All K-Long Subarrays II interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Find X-Sum of All K-Long Subarrays II during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Find X-Sum of All K-Long Subarrays II style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Find X-Sum of All K-Long Subarrays II interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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