Skip to main content

High-level and convenience wrappers for DOLFINx, the FEniCS library.

Project description

dolfiny: high-level and convenience wrappers for DOLFINx

The dolfiny package provides a set of high-level and convenience wrappers for DOLFINx, the FEniCS library.

While DOLFINx involves many low-level operations - from handling ghosted values to interfacing PETSc solvers directly - dolfiny serves as a wrapper around the low-level functionality of DOLFINx and is meant to combine a user-oriented API with the performance and functionality of DOLFINx, FFCx, Basix and UFL.

This library is written exclusively in Python with optional interfacing to user-provided C++ kernels.

Installation

pip3 install dolfiny

Certain functionality (see demos and unit tests) relies on the availability of external packages such as

Install dolfiny with these dependencies by running

pip3 install dolfiny[all]

For ARM-based architectures (aarch64/arm64 on Linux) we recommend to fallback to our custom-compiled binary wheels for vtk and cppyy-cling by setting the local package index repository in the respective environment variable

export PIP_INDEX_URL=https://gitlab.com/api/v4/projects/59503118/packages/pypi/simple

before calling pip.

You may also check the Dockerfile for an up-to-date version of the installation process.

Docker image

Multi-arch (amd64 and arm64) Docker images with pre-installed dolfiny (and dependencies) are available at DockerHub.

docker pull dolfiny/dolfiny

Documentation

In preparation.

In the meantime please check available demos or unit tests.

Presentations about dolfiny functionality:

Authors

  • Michal Habera, Rafinex, Luxembourg.
  • Andreas Zilian, University of Luxembourg, Luxembourg.

Contributing

We are always looking for contributions and help with dolfiny. If you have ideas, nice applications or code contributions then we would be happy to help you get them included. We ask you to follow the FEniCS Project git workflow.

Issues and Support

Please use the GitHub issue tracker to report any issues.

License

dolfiny is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

dolfiny is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with dolfiny. If not, see http://www.gnu.org/licenses/.

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

dolfiny-0.9.0.tar.gz (36.2 kB view details)

Uploaded Source

Built Distribution

dolfiny-0.9.0-py3-none-any.whl (38.4 kB view details)

Uploaded Python 3

File details

Details for the file dolfiny-0.9.0.tar.gz.

File metadata

  • Download URL: dolfiny-0.9.0.tar.gz
  • Upload date:
  • Size: 36.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for dolfiny-0.9.0.tar.gz
Algorithm Hash digest
SHA256 81540c8ab71e8d422000f3466c2ed1eddac4306f89632678d3e5809af6a5f59c
MD5 96e5ef23ed701c7727850a598316df9c
BLAKE2b-256 7e7bed134671865c8da18e80d0263fbe6fd057f480dadca8d417a1227caa9cee

See more details on using hashes here.

File details

Details for the file dolfiny-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: dolfiny-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 38.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for dolfiny-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c8984ed98d6e3e0e3bc1b96b7ae78355b290febdba420d55cfdedad6fc8e4bbe
MD5 4d5bb4cd022daeee578bc64fb271d3fb
BLAKE2b-256 8ca2f9580d0f0dd6f544f3388aad6c8eba77838d31850a6f13fb816e3f475256

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page