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README.md

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A Rust library for NP-hard problem definitions and reductions. We aim to implement >100 NP-hard problems and reductions rule between them, under the assistance of AI.
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This infrastructure aims to solve two problems:
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- Given a hard problem $A$, reduce it to the most vaible problem $B$, and solve it.
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- Given a hard problem $A$, reduce it to the most vaible problem $B$, to be solved efficiently with an external solver.
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- Given a solver $S$ for problem $B$, explore how efficient it can be used for solving other problems.
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Download [PDF manual](https://codingthrust.github.io/problem-reductions/reductions.pdf) for humans.
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1. **Open an issue** using the [Problem](https://github.com/CodingThrust/problem-reductions/issues/new?template=problem.md) or [Rule](https://github.com/CodingThrust/problem-reductions/issues/new?template=rule.md) template. Fill in all sections — the templates guide you through the required information (definition, algorithm, size overhead, example instance, etc.).
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2. **Create a PR from the issue.** Two options:
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- **With [Claude Code](https://github.com/anthropics/claude-code):** run `/issue-to-pr <issue-number>`. This verifies the issue is complete, researches the reference, writes an implementation plan, and creates a PR with `[action]` to trigger automated implementation.
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- **Manually:** write a plan in `docs/plans/` ([sample](docs/plans/2026-02-08-qubo-reductions-plan.md)), create a PR, and add `[action]` at the start of the PR description to trigger Claude CI.
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2. Optionally, if you prefer to make a **concrete plan** or **implement yourself**, I will recommend you to use the [superpowers:brainstorming](https://github.com/obra/superpowers) skill to help you write a detailed plan. After making implementation plan, you can either implement the plan yourself or create a PR with prompt:
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```
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Create a pull request starting with "[action]" in the description.
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```
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to trigger automated implementation.
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### Developer Commands
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