Multi-Valued Sentential Decision Diagrams — a knowledge-compilation library with k-ary categorical fan-out at vtree leaves
Project description
mv-sdd
Multi-valued sentential decision diagrams for Python, backed by a C99 core and exposed through Cython bindings.
The public Python package is mv-sdd; the import package is pymvsdd.
Installation
pip install mv-sdd
The source distribution includes the libmvsdd C sources needed to
build the extension, so users do not need to run make -C libmvsdd
before installing.
Minimal Example
from pymvsdd import Manager, Vtree
vtree = Vtree.right_linear([2, 2])
manager = Manager(vtree)
# Empty CNF over two Boolean variables has 4 models.
node = manager.compile_cnf([])
print(node.model_count())
Repository Layout
libmvsdd/contains the C99 core and C tests.pymvsdd/contains the Cython bindings shipped in the wheel.pymvsdd_ref/contains the pure-Python reference implementation used by tests.
Benchmark harnesses, paper drafts, third-party source copies, and local research artifacts are intentionally not part of the public repository.
Development
uv venv
uv pip install -e ".[dev]"
make test
Useful targets:
make all # build libmvsdd and install the editable binding
make test # pytest plus libmvsdd C tests
make clean # remove local build artifacts
Release
Local validation:
uv run --with build python -m build
uv run --with twine python -m twine check dist/*
python -m venv /tmp/mv-sdd-wheel-test
/tmp/mv-sdd-wheel-test/bin/python -m pip install dist/mv_sdd-*.whl
/tmp/mv-sdd-wheel-test/bin/python -c "from pymvsdd import Vtree, Manager; vt = Vtree.right_linear([2, 2]); print(Manager(vt).compile_cnf([]).model_count())"
GitHub Actions builds the sdist and CPython 3.10-3.13 wheels for Linux
and macOS with cibuildwheel. Pushing a v* tag publishes checked
artifacts to PyPI through Trusted Publishing, using the repository's
pypi environment.
License
Apache-2.0. See LICENSE.
Project details
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