Gurddy Python package.
Project description
Gurddy
Gurddy is a lightweight Python package designed to model and solve Constraint Satisfaction Problems (CSP) and Linear Programming (LP) problems with ease. Built for researchers, engineers, and optimization enthusiasts, Gurddy provides a unified interface to define variables, constraints, and objectives—then leverages powerful solvers under the hood to deliver optimal or feasible solutions.
Features
- 🧩 CSP Support: Define discrete variables, domains, and logical constraints.
- 📈 LP Support: Formulate linear objectives and inequality/equality constraints.
- 🔌 Extensible Solver Backend: Integrates with industry-standard solvers (e.g., Gurobi, CBC, or GLPK via compatible interfaces).
- 📦 Simple API: Intuitive syntax for rapid prototyping and experimentation.
- 🧪 Type-Hinted & Tested: Robust codebase with unit tests and clear documentation.
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