pdan is a Python library that implements the algorithm of
Skorobogatov, G. et al., 2021
for convex polygon decomposition into separate parts depending on the area
requirements.
In what follows
pythonis an alias forpython3.8or any later version (python3.9and so on).
Install the latest pip & setuptools packages versions:
python -m pip install --upgrade pip setuptoolsDownload and install the latest stable version from PyPI repository:
python -m pip install --upgrade pdanDownload the latest version from GitHub repository
git clone https://github.com/LostFan123/pdan.git
cd pdanInstall dependencies:
poetry install>>> from pdan import minimizing_split, Contour, Point, Polygon
>>> contour = Contour([Point(0, 0), Point(1, 0), Point(1, 1), Point(0, 1)])
>>> part, other = minimizing_split(contour, 0.5, key=lambda x, y: x.length)
>>> Polygon(part).area == Polygon(other).area == 0.5
TrueInstall bump-my-version.
Choose which version number category to bump following semver specification.
Test bumping version
bump-my-version bump --dry-run --verbose $CATEGORYwhere $CATEGORY is the target version number category name, possible
values are patch/minor/major.
Bump version
bump-my-version bump --verbose $CATEGORYThis will set version to major.minor.patch-alpha.
Test bumping version
bump-my-version bump --dry-run --verbose releaseBump version
bump-my-version bump --verbose releaseThis will set version to major.minor.patch.
Plain:
pytestInside Docker container:
docker compose upBash script (e.g. can be used in Git hooks):
./run-tests.shor
./run-tests.sh cpythonPowerShell script (e.g. can be used in Git hooks):
.\run-tests.ps1or
.\run-tests.ps1 cpython