Leetcode #2917: Find the K-or of an Array

In this guide, we solve Leetcode #2917 Find the K-or of an 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

You are given an integer array nums, and an integer k. Let's introduce K-or operation by extending the standard bitwise OR.

Quick Facts

Difficulty: Easy
Premium: No
Tags: Bit Manipulation, Array

Intuition

The problem structure lets us track state with bitwise operations.

Bit operations are constant time and avoid extra memory.

Approach

Apply XOR/AND/OR and shifts to maintain the required invariant.

Aggregate the result in a single pass.

Steps:

Identify a bitwise invariant.
Combine values with bit operations.
Return the aggregated result.

Python Solution

class Solution:
    def findKOr(self, nums: List[int], k: int) -> int:
        ans = 0
        for i in range(32):
            cnt = sum(x >> i & 1 for x in nums)
            if cnt >= k:
                ans |= 1 << i
        return ans

Complexity

The time complexity is $O(n \times \log M)$ , where $n$ and $M$ are the length of the array $nums$ and the maximum value in $nums$ , respectively. The space complexity is $O(1)$ .

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.

Leetcode #2917: Find the K-or of an Array

In this guide, we solve Leetcode #2917 Find the K-or of an 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

You are given an integer array nums, and an integer k. Let's introduce K-or operation by extending the standard bitwise OR.

Quick Facts

Difficulty: Easy
Premium: No
Tags: Bit Manipulation, Array

Intuition

The problem structure lets us track state with bitwise operations.

Bit operations are constant time and avoid extra memory.

Approach

Apply XOR/AND/OR and shifts to maintain the required invariant.

Aggregate the result in a single pass.

Steps:

Identify a bitwise invariant.
Combine values with bit operations.
Return the aggregated result.

Python Solution

class Solution:
    def findKOr(self, nums: List[int], k: int) -> int:
        ans = 0
        for i in range(32):
            cnt = sum(x >> i & 1 for x in nums)
            if cnt >= k:
                ans |= 1 << i
        return ans

Complexity

The time complexity is $O(n \times \log M)$ , where $n$ and $M$ are the length of the array $nums$ and the maximum value in $nums$ , respectively. The space complexity is $O(1)$ .

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.

Leetcode #2917: Find the K-or of an Array

Problem Statement

Quick Facts

Intuition

Approach

Python Solution

Complexity

Edge Cases and Pitfalls

Summary

Ace your next coding interview

Leetcode #2917: Find the K-or of an Array

Problem Statement

Quick Facts

Intuition

Approach

Python Solution

Complexity

Edge Cases and Pitfalls

Summary

Ace your next coding interview