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CustomCC0-1.0#P0011400

Sliding Median XOR

Thinking Mode

Summary

  • •Phase 2 / Sliding Window, Order Statistics
  • •Reasoning-first competitive programming drill

Problem Description

Given an array of N integers and a window size K, for each position i (1 ≤ i≤N−K+1), compute the XOR of the median value in the window A[i..i+K-1] with K. Output the sum of these values over all windows. How to read this problem in plain language: - This is a Phase 2 reasoning drill focused on Sliding Window, Order Statistics. - Typical lenses to test first: sliding window, order-statistics, xor. - Constraints reminder: 1 ≤ N≤2e5, 1 ≤ K≤N, 0 ≤ A[i] < 1e9 Mini examples for mental simulation: 1) Boundary example: Describe why this case is tricky. Explain expected behavior and why naive logic may fail. 2) Adversarial example: Adversarial case where naive greedy/local decision looks correct but fails globally. Lite-mode writing target: - Write 1~2 observations that shrink the search space. - Name one final algorithm and state target complexity explicitly. - Validate with at least 2 edge cases and one hand simulation.

Constraints

  • •
    1 ≤ N≤2e5, 1 ≤ K≤N, 0 ≤ A[i] < 1e9

Analysis

Key Insight

Use this hint to refine your reasoning. This step should reduce search space or formalize correctness. State why this insight changes your algorithm choice.

sliding windoworder-statisticsxor
sliding windoworder-statisticsxor