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Splipy

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 PyPI and can be installed through pip by simply running

pip install splipy

Resources

Development and building from source

Poetry

Splipy uses Poetry as a project management tool. To install poetry, use:

pip install poetry

Poetry is the only tool that must be installed outside of the virtual environment for Splipy. Once installed, run the command:

make install

in the root Splipy directory. This will install Splipy and its dependencies in a virtual environment located in the .venv directory.

You should activate this virtual environment whenever you work on Splipy. The makefile commands do not require it, but it's a good habit:

source .venv/bin/activate

To run the tests:

make test

Installing

To install, use:

pip install .

To generate a package (source distribution or wheel), use:

make sdist
make wheel
make build  # both sdist and wheel

Don't upload wheels to PyPI manually. They are built by CI runners whenever a new version is tagged (see below).

Documentation

To generate the documentation, run:

make doc

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.

Tests

To run the tests, use:

make test

For benchmarks:

make bench

Releasing

To make a new release, run the bump-my-version command:

bump-my-version --dry-run <part>

Where <part> is the part you want to bump: either major, minor, patch, pre_label or pre_number.

You can also specify the new version directly by using:

bump-my-version --dry-run --new-version <new_version>

Once you are satisfied with the results, run the command without --dry-run. We highly recommend to always use a dry run!

After that, CI should automatically build and deploy the packages to PyPi. It would be helpful to monitor the actions so that errors can be fixed quickly.

Citations

If you use Splipy in your work, please consider citing K. A. Johannessen and E. Fonn 2020 J. Phys.: Conf. Ser. 1669 012032.

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  • Python 99.8%
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