No project description provided
Project description
pdan
Summary
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).
Installation
Install the latest pip & setuptools packages versions:
python -m pip install --upgrade pip setuptools
User
Download and install the latest stable version from PyPI repository:
python -m pip install --upgrade pdan
Developer
Download the latest version from GitHub repository
git clone https://github.com/LostFan123/pdan.git
cd pdan
Install dependencies:
poetry install
Usage
>>> 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
Development
Bumping version
Preparation
Install bump-my-version.
Pre-release
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.
Release
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.
Running tests
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pdan-0.1.9.tar.gz.
File metadata
- Download URL: pdan-0.1.9.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7ed8e349be6f1b25075d7b16835c0d1d6f0d3fed688afc4c7795d81a338eba1
|
|
| MD5 |
26ba945503427c5b19698232932ea823
|
|
| BLAKE2b-256 |
f7f7585dfbe5e5871a94764346a40deb0a95b6c0e584f3acb4417132b7473809
|
File details
Details for the file pdan-0.1.9-py3-none-any.whl.
File metadata
- Download URL: pdan-0.1.9-py3-none-any.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
83b3e9b15a5595952c7beb51de99aace0f271d6ce5e7bfd6b4f9cb328fec9295
|
|
| MD5 |
2e34d9aa792857a49178fb6d83b7f1fc
|
|
| BLAKE2b-256 |
e183340baeba2f53180a499bc593e1ebea8297e7fd7445a7049d195549043e0d
|