This repository contains the Splipy packages. Splipy is a pure python library for the creation, evaluation and manipulation of B-spline and NURBS geometries. It supports n-variate splines of any dimension, but emphasis is made on the use of curves, surfaces and volumes. The library is designed primarily for analysis use, and therefore allows fine-grained control over many aspects which is not possible to achieve with conventional CAD tools.
Installation ---------The library is packaged on splipy and can be installed through pip by simply running :
pip install splipy
- Getting-started guide - tutorial page (run with jupyter to get interactive features)
- Examples page - stand-alone executables of different applications
- API documentation - technical details on all functions
- Package installation page - splipy on PyPi, packaged and ready for installation
Development and building from source |
Required
This library requires numpy and scipy. For building, cython is also required. E.g. on Ubuntu:
pip install numpy
pip install scipy
pip install cython
Optional
To use image processing tools, you need OpenCV :
pip install python-opencv
To generate the documentation you will need Sphinx:
pip install sphinx
And to run the tests you can use your favourite test runner, for example pytest:
pip install pytest pytest-benchmark pytest-cov
To install, use:
python setup.py build_ext --inplace
python setup.py install
To generate a package, use:
python setup.py sdist --dist-dir .
To generate the documentation, run in the doc folder:
make html
To push generated docs online on the gh-pages
branch, run the helper script:
python push_documentation.py [remote]
where remote
is the name of the remote to push to. If not given, it will be asked.
To run the tests, you can use your favourite test runner. For example, with pytest:
PYTHONPATH=. py.test --benchmark-skip
To get a report of test coverage, run:
PYTHONPATH=. py.test --benchmark-skip --cov=splipy --cov-report term-missing
You can use pylint3 to perform static code analysis on the module. This can help identify bugs and give suggestions for improvements.
To install, use:
pip3 install pylint
To perform the code analysis, use:
pylint -d C --rcfile=pylint.cfg splipy/
To make a new release, it is recommended to install bumpversion. To make a new release, run:
bumpversion <type>
where type is one of patch, minor or major. This will up the version number, create a commit and a tag. To push this to github, use:
git push --tags
After that, Travis CI should automatically build and deploy the packages to PyPi. It would be helpful to monitor the Travis build so that errors can be fixed quickly. See the list of builds.