Geometric loss functions between point clouds, images and volumes.
Project description
Geometric loss functions between point clouds, images and volumes
Please check our website!
Packaging and Release Checklist
This project now uses pyproject.toml with setuptools (PEP 517).
- Clean previous build artifacts:
rm -rf build dist geomloss.egg-info
find . -type d -name "__pycache__" -prune -exec rm -rf {} +
- Build distribution artifacts:
python -m pip install --upgrade build
python -m build
- Inspect generated metadata (optional quick check):
python - <<'PY'
import zipfile
from pathlib import Path
wheel = max(Path("dist").glob("geomloss-*.whl"), key=lambda p: p.stat().st_mtime)
with zipfile.ZipFile(wheel) as zf:
meta = zf.read(next(n for n in zf.namelist() if n.endswith(".dist-info/METADATA"))).decode()
for line in meta.splitlines():
if line.startswith(("Name:", "Version:", "Requires-Python:", "Requires-Dist:", "Provides-Extra:")):
print(line)
PY
- Test local installs:
python -m pip install .
python -m pip install ".[full]"
- Smoke-test import:
python -c "import geomloss; print(geomloss.__version__)"
Project details
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- Upload date:
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- Uploaded via: twine/6.2.0 CPython/3.13.12
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