A compendium of canonical design research problems
Project description
design-research-problems
design-research-problems is a compact library and compendium of design research
problems. It packages canonical research prompts, optimization benchmarks, and
discrete grammar-style problems behind a small, typed Python API.
Overview
The initial release centers on three seed problem families:
- Text problems for human-subjects studies and prompt packets
- Optimization problems with typed bounds and lazy SciPy-backed solving
- Grammar problems that describe discrete design actions and optional evaluation adapters
The first catalog includes:
peanut_sheller_fu2010for text-based design researchpill_capsule_min_areafor constrained continuous optimizationplanar_truss_spanfor a discrete topology grammar backed bytrussme
Quickstart
Requires Python 3.12+. Install from PyPI with:
pip install design-research-problems
Install the optional optimization solver support with:
pip install "design-research-problems[opt]"
Install the optional trussme grammar support with:
pip install "design-research-problems[grammar]"
Then inspect the catalog directly from the installed package:
python3 -c "from design_research_problems import list_problems; print(list_problems())"
For local development, reproducible installs are pinned to Python 3.12.12 in
.python-version:
python3 -m venv .venv
source .venv/bin/activate
make dev
make ci
Docs
See the published documentation for the guide and reference layout. Build them locally with:
make docs
Contributing
Contribution guidelines live in CONTRIBUTING.md.
Project details
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