DFS Checker Codeforces

A precise tool for competitive programmers to verify DFS-based solutions on Codeforces problems by validating traversal order and graph handling.

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About This Tool

This tool targets competitive programmers solving Codeforces problems that rely on DFS traversal behavior. It accepts a graph description, problem context, and an optional submission or traversal policy to validate expected behavior. By focusing on traversal order, edge handling, and component coverage, it helps identify subtle DFS logic errors prior to submission. Conceptually, the checker builds a graph model from provided nodes and edges, respects directed vs undirected edges, and performs a reference DFS following a defined neighbor order. It then simulates the candidate's traversal, compares the produced sequence and visited set against the reference, and flags deviations such as premature visits, skipped nodes, or incorrect handling of cycles and back edges. It supports 1-based CF indexing and can operate with or without actual code execution depending on the input scenario. Beneficiaries include CF contestants validating their solutions, coaches teaching DFS properties, and platform maintainers seeking reproducible problem checks. Differentiators include flexible graph representations, deterministic traversal order, detailed mismatch reporting, and robust handling of edge cases like isolated nodes, multi-edges, and self-loops without requiring full judge integration. Core features include input validation, graph normalization, DFS simulation, result comparison, and exportable mismatch summaries. Typical use cases cover practice problems, editorial verifications, and classroom demonstrations. Use cases illustrate how discrepancies in visit order or neighbor selection influence outputs, aiding faster debugging and deeper understanding of DFS behavior.

How to Use

Provide inputs describing the problem graph and starting node; optionally include a submission_code or a traversal policy to compare against.
Run the checker to produce a reference DFS traversal and a comparison report.
Review mismatches with details on order, visited sets, and cycle handling.
Adjust graph, indexing, or policy as needed.
Re-run to confirm alignment and export the results if required.

How to use dfs checker codeforces

Frequently Asked Questions

Find Quick Answers

What is DFS in this context?
DFS refers to depth-first search traversal. The checker validates the order in which nodes are visited, respecting directed/undirected edges and cycle handling, to ensure the solution adheres to problem expectations.
What inputs are required?
Required inputs include problem_id, node count, edge list, graph direction (directed or undirected), and a start node. Optionally, a submission_code or traversal policy can be provided to guide comparison.
Can it handle large graphs?
Yes, the checker supports large graphs up to typical competitive programming scales (tens to hundreds of thousands of edges). Performance depends on graph density and the chosen traversal order, but it is designed to be efficient with iterative DFS where possible.
Does it execute user-submitted code?
The checker can validate traversal against a reference policy without executing arbitrary user code. If submission_code is provided, it may be analyzed for traversal policy, but actual code execution is not required for validation and is not guaranteed.

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