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pyomo

pyomo

Guides Pyomo optimization-modeling workflows, solver CLI use, data loading, structured modeling, and solver extensions.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: pyomo description: "Guides Pyomo optimization-modeling workflows, solver CLI use, data loading, structured modeling, and solver extensions." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Pyomo

Use this skill when the task is about Pyomo algebraic optimization models, Pyomo's pyomo command, data loading into models, or solver/analysis extensions that build on Pyomo models.

Start here

  • Read references/repo-provenance.md when you need to check whether this skill still matches the current checkout.
  • Read references/troubleshooting.md when imports, solvers, optional packages, Qt, or compiled extensions fail.
  • Use scripts/check_import.py for a quick package/import sanity check.
  • Use scripts/solve_tiny_milp.py when you need a safe solver-backed smoke test.

Install and import

The public package name is pyomo.

Typical installs:

  • pip install pyomo
  • conda install -c conda-forge pyomo

For solver-backed checks, also install a solver such as glpk. For GUI or advanced extensions, install only the optional packages that the relevant sub-skill or reference calls out.

Minimal import check:

python -c "import pyomo, pyomo.environ as pyo; print(pyomo.__version__); print(pyo.ConcreteModel)"

Route map

modeling-basics

Read this for ConcreteModel, Set, Param, Var, Constraint, Objective, Block, Expression, Suffix, value(), component traversal, and small self-contained model construction.

data-and-io

Read this for AbstractModel, DataPortal, create_instance, data-file loading, .dat / .tab / Excel inputs, and tutorial-style data workflows.

solve-and-cli

Read this for pyomo solve, pyomo convert, pyomo run, pyomo help, pyomo test-solvers, config templates, solver selection, and CLI smoke checks.

structured-modeling

Read this for GDP, DAE, network models, MPEC, model transformations, discretization, ports/arcs, and other structured-modeling workflows.

solver-extensions

Read this for APPSI, FBBT, PyNumero, simplification, community detection, interior-point tooling, and the model viewer / optional-backend troubleshooting surface.

What this skill owns

  • Pyomo modeling APIs and common component patterns.
  • Pyomo data-loading workflows and tutorial-style examples.
  • Pyomo CLI entry points and solver orchestration.
  • Structured modeling extensions and their transformations.
  • Optional solver/analysis extensions and their dependency boundaries.

What this skill does not own

  • Generic mathematical-optimization theory that is not Pyomo-specific.
  • Solver installation instructions beyond the Pyomo-facing commands and dependency notes.
  • External solver manuals.
  • Original repository paths in runtime instructions.

Bundled helpers

  • scripts/check_import.py — run this when you need a fast import and metadata check from the target environment.
  • scripts/check_optional_backends.py — run this when you need a quick report on optional scientific, GUI, and Pyomo extension dependencies.
  • scripts/solve_tiny_milp.py — run this when you need a deterministic solve smoke test against a tiny binary model.

References

  • references/core-modeling.md — core component and expression overview.
  • references/data-and-io.md — abstract models, data files, and input formats.
  • references/cli-reference.md — Pyomo CLI commands and safe help paths.
  • references/structured-modeling.md — GDP, DAE, network, and MPEC workflows.
  • references/solver-extensions.md — APPSI, PyNumero, FBBT, viewer, and other optional extensions.
  • references/repo-routing-metadata.json — structured router metadata used by repo-skills routing.
  • references/troubleshooting.md — install, import, solver, Qt, and extension failures.

Verified package facts

  • pyomo installs a pyomo console command.
  • pyomo.solve, pyomo.convert, pyomo.run, pyomo.download-extensions, pyomo.build-extensions, pyomo.install-extras, pyomo.model-viewer, and pyomo.test-solvers are available subcommands in this checkout.
  • The package imports as pyomo and pyomo.environ.
  • SolverFactory('glpk') works when the glpsol executable is available.
  • pyomo model-viewer requires qtconsole plus a Qt binding and currently reports missing Qt support when those extras are absent.

Selection hints

  • If the task mentions building or debugging a model, start with modeling-basics.
  • If the task mentions .dat, .tab, Excel, or create_instance, start with data-and-io.
  • If the task mentions pyomo solve, pyomo convert, or solver selection, start with solve-and-cli.
  • If the task mentions GDP, DAE, network, or complementarity models, start with structured-modeling.
  • If the task mentions APPSI, PyNumero, FBBT, simplification, community detection, interior point, or the viewer, start with solver-extensions.
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