Metadata-Version: 2.1
Name: micromagnetictests
Version: 0.1
Summary: Micromagnetic tests for Ubermag calculators
Home-page: https://ubermag.github.io
Author: Marijan Beg and Hans Fangohr
License: UNKNOWN
Description: # micromagnetictests
        Marijan Beg<sup>1,2</sup> and Hans Fangohr<sup>2,1</sup>
        
        <sup>1</sup> *Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom*  
        <sup>2</sup> *European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany*  
        
        | Description | Badge |
        | --- | --- |
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        |       | [![Build status](https://ci.appveyor.com/api/projects/status/qhi1comhtaja0073?svg=true)](https://ci.appveyor.com/project/marijanbeg/micromagnetictests) |
        | Coverage | [![codecov](https://codecov.io/gh/ubermag/micromagnetictests/branch/master/graph/badge.svg)](https://codecov.io/gh/ubermag/micromagnetictests) |
        | Documentation | [![Documentation Status](https://readthedocs.org/projects/micromagnetictests/badge/?version=latest)](https://micromagnetictests.readthedocs.io/en/latest/?badge=latest) |
        | Binder | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ubermag/micromagnetictests/master?urlpath=lab/tree/docs/ipynb/index.ipynb) |
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        | License | [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) |
        | DOI | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3539480.svg)](https://doi.org/10.5281/zenodo.3539480) |
        
        ## About
        
        `micromagnetictests` is a Python package that provides:
        
        - A collection of micromagnetic tests for Ubermag calculators
        
        It is available on all major operating systems (Windows, MacOS, and Linux) and requires Python 3.6 or higher.
        
        ## Documentation
        
        APIs and tutorials as Jupyter notebooks are available as a part of documentation.
        
        ## Installation, testing, and upgrade
        
        We support installation using `conda` and `pip` package managers. Instructions can be found in the documentation.
        
        ## Binder
        
        This package can be used in the cloud via Binder. This does not require to have anything installed and no files will be created on your machine. To access Binder, use the Binder badge in the table above.
        
        ## 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](https://github.com/ubermag/help) repository.
        
        ## License
        
        Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the [LICENSE](LICENSE) file.
        
        ## How to cite
        
        If you use this package, please cite it as:
        
        1. 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)](http://aip.scitation.org/doi/10.1063/1.4977225).
        
        2. COMING SOON... (M. Beg and H. Fangohr. ubermag/micromagnetictests: Python domain-specific language for defining micromagnetic models. Zenodo. DOI: [10.5281/zenodo.3539480](http://doi.org/10.5281/zenodo.3539480) (2020).)
        
        ## Acknowledgements
        
        Developed as a part of:
        
        - [OpenDreamKit](http://opendreamkit.org/) – Horizon 2020 European Research Infrastructure project (676541)
        
        - EPSRC Programme grant on [Skyrmionics](http://www.skyrmions.ac.uk) (EP/N032128/1).
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Description-Content-Type: text/markdown
