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
python
is an alias forpython3.8
or any later version (python3.9
and so on).
Install the latest pip
& setuptools
packages versions:
python -m pip install --upgrade pip setuptools
Download and install the latest stable version from PyPI
repository:
python -m pip install --upgrade pdan
Download the latest version from GitHub
repository
git clone https://github.com/LostFan123/pdan.git
cd pdan
Install 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
True
Install bump-my-version.
Choose which version number category to bump following semver specification.
Test bumping version
bump-my-version bump --dry-run --verbose $CATEGORY
where $CATEGORY
is the target version number category name, possible
values are patch
/minor
/major
.
Bump version
bump-my-version bump --verbose $CATEGORY
This will set version to major.minor.patch-alpha
.
Test bumping version
bump-my-version bump --dry-run --verbose release
Bump version
bump-my-version bump --verbose release
This will set version to major.minor.patch
.
Plain:
pytest
Inside Docker
container:
docker compose up
Bash
script (e.g. can be used in Git
hooks):
./run-tests.sh
or
./run-tests.sh cpython
PowerShell
script (e.g. can be used in Git
hooks):
.\run-tests.ps1
or
.\run-tests.ps1 cpython