1486. XOR Operation in an Array
easyCompute the XOR of an arithmetic sequence nums[i] = start + 2*i for i in [0, n). Naïve loop is fine for the small bound; the closed-form is the bonus brainteaser.
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Problem
You are given an integer n and an integer start. Define an array nums where nums[i] = start + 2 * i (0-indexed) and n == nums.length. Return the bitwise XOR of all elements of nums.
Constraints
1 <= n <= 10000 <= start <= 1000n == nums.length
Examples
Example 1
n = 5, start = 08Explanation: Array nums is equal to [0, 2, 4, 6, 8] where (0 ^ 2 ^ 4 ^ 6 ^ 8) = 8.
Example 2
n = 4, start = 38Explanation: Array nums is equal to [3, 5, 7, 9] where (3 ^ 5 ^ 7 ^ 9) = 8.
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Hints
Progressive — try the first before opening the next.
Hint 1
n <= 1000 is tiny — a straightforward loop is correct and fast.
Hint 2
For style: every nums[i] shares its lowest bit with start (since 2*i is even). Factor out that bit and reduce to XOR of i for i in [start/2, start/2 + n).
Hint 3
Use the well-known pattern XOR(0..k): {k, 1, k+1, 0} cycling on k mod 4.
Solution approach
Reveal approach
Direct loop is the recommended baseline. result = 0; for i in range(n): result ^= (start + 2 * i); return result. O(n) time, O(1) space — and n <= 1000 makes this trivial. For the closed-form: factor nums[i] = 2 * (start/2 + i) + (start & 1). The lowest bit contributes n * (start & 1) parity = (n & 1) * (start & 1) to the answer. The remaining XOR is 2 * (XOR over i in [start/2, start/2 + n) of i), which uses the cycle XOR(0..k) = {k, 1, k+1, 0} for k mod 4 == {0, 1, 2, 3}. Combine with shift. Constant-time but error-prone; the loop is what to write in an interview.
Complexity
- Time
- O(n)
- Space
- O(1)
Related patterns
- bit-manipulation
- xor
- math
Related problems
Asked at
Companies reported asking this problem (sourced from public Glassdoor, Blind, and Levels.fyi interview posts).
- Amazon
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