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Testing package for computational magnetism tools.

Home Page: https://ubermag.github.io/

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
ubermag scientific-computing python micromagnetics binder tests zenodo micromagnetic-tests linux windows

micromagnetictests's Introduction

ubermag

Marijan Beg1,2, Martin Lang2, Samuel Holt2,3, Swapneel Amit Pathak2,4, Ryan A. Pepper5, Thomas Kluyver6, Jeroen Mulkers7, Jonathan Leliaert7, and Hans Fangohr2,4,8

1 Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
2 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK
3 Department of Physics, University of Warwick, Coventry CV4 7AL, UK
4 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
5 Research Software Group, University of Birmingham, Birmingham B15 2TT, UK
6 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
7 Faculty of Sciences, Ghent University, Krijgslaan 281, S12, 9000 Ghent, Belgium
8 Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany

Description Badge
Tests Build status
conda
Linting pre-commit.ci status
Code style: black
Releases PyPI version
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Coverage codecov
Documentation Documentation
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

ubermag is a Python package, integrated with Jupyter, providing:

  • Meta package for Ubermag project,

  • Logging control in Ubermag packages.

It is available on Windows, MacOS, and Linux. It requires Python 3.8+.

Documentation

APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.

Installation, testing, and upgrade

We recommend installation using conda package manager. Instructions can be found in the documentation.

Binder

This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.

YouTube

YouTube video tutorials are available on the Ubermag channel.

Support

If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.

Contributions

All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.

Contributors:

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

  1. M. Beg, M. Lang, and H. Fangohr. Ubermag: Towards more effective micromagnetic workflows. IEEE Transactions on Magnetics 58, 7300205 (2022).

  2. M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).

  3. Marijan Beg, Martin Lang, Samuel Holt, Swapneel Amit Pathak, Ryan A. Pepper, Thomas Kluyver, Jeroen Mulkers, Jonathan Leliaert, and Hans Fangohr. ubermag: Meta package for Ubermag project. DOI: 10.5281/zenodo.3539495 (2022).

Acknowledgements

  • OpenDreamKit โ€“ Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme Grant on Skyrmionics (EP/N032128/1)

micromagnetictests's People

Contributors

kzqureshi avatar lang-m avatar marijanbeg avatar pre-commit-ci[bot] avatar samjrholt avatar swapneelap avatar ubermag-bot avatar

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micromagnetictests's Issues

Improve test_schedule

The test for scheduling (schedule.py::test_schedule) currently does not run on Windows due to limitations of the implementation. We should modify the test so that it can run on all platforms. I would suggest to use python as executable instead of oommf. Needs to be tested on Windows.

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