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CustomCC0-1.0#P020-3412500

Weighted Subset XOR Query

Thinking Mode

Summary

  • •Phase 6 / xor/subset_dp/weighted
  • •Reasoning-first competitive programming drill

Problem Description

You are given N numbers and Q queries. Each query (L, R, X) asks for the maximal sum of weights of a subset of A[L:R] whose XOR is exactly X. Each A[i] has a weight W[i]. How to read this problem in plain language: - This is a Phase 6 reasoning drill focused on xor/subsetd​p/weighted. - Typical lenses to test first: xor, dp, subset. - Constraints reminder: 1 ≤ N≤100; 1 ≤ Q≤103; 0 ≤ A[i] < 2^{20}; 1 ≤ W[i] ≤ 10^6 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≤100; 1 ≤ Q≤103; 0 ≤ A[i] < 2^{20}; 1 ≤ W[i] ≤ 10^6

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.

xordpsubsetquery
xordpsubsetquery