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How-to Guides

Task-oriented recipes for common operations. Each guide gets straight to the point with self-contained examples you can copy and run.

Guide Description
Building Optimization Models Variables, constraints, objectives, and solving in recipe form
Define Block Schemas Define typed block inputs/outputs with dataclass or pydantic models
Numpy Integration Array arithmetic, element-wise bounds, indexing, and reduction operators
Configure Solver Solver objects, settings, and reusable configurations
Debug Infeasibility Use slacks and elastic constraints to diagnose infeasible models
Inspect a Model Examine model structure with snapshots before and after solving
Handle Errors Catch model-building exceptions and check solver outcomes
Enable Logging Configure Rust-side tracing and solver output

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