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CustomCC0-1.0#p0031900

Cycle-Finding Graph Labeler

Thinking Mode

Summary

  • β€’Phase 1 / mst, parity, union_find
  • β€’Reasoning-first competitive programming drill

Problem Description

Given an undirected graph with n nodes and m edges, and an array of n integers (labels), choose a subset of edges to keep such that the resulting graph is a forest and the sum of labels in each connected component is even. Find the maximum possible sum of kept edges’ weights. How to read this problem in plain language: - This is a Phase 1 reasoning drill focused on mst, parity, unionf​ind. - Typical lenses to test first: graph, mst, forest. - Constraints reminder: 1 ≀ n≀2Γ—105, 0 ≀ m≀2Γ—105, 0 ≀ labeli​≀109, 1 ≀ w≀109 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

  • β€’
    1 ≀ n≀2Γ—105, 0 ≀ m≀2Γ—105, 0 ≀ labeli​≀109, 1 ≀ w≀109

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.

graphmstforestunion-findparity
graphmstforestunion-findparity