Metadata-Version: 2.1
Name: torchio
Version: 0.18.17
Summary: Tools for loading, augmenting and writing 3D medical images on PyTorch.
Home-page: https://github.com/fepegar/torchio
Author: Fernando Perez-Garcia
Author-email: fernando.perezgarcia.17@ucl.ac.uk
License: MIT license
Description: # [TorchIO](http://torchio.rtfd.io/)
        
        > *Tools like TorchIO are a symptom of the maturation of medical AI research using deep learning techniques*.
        
        Jack Clark, Policy Director
        at [OpenAI](https://openai.com/) ([link](https://jack-clark.net/2020/03/17/)).
        
        ---
        
        <table align="center">
            <tr>
                <td align="left">
                    <b>Package</b>
                </td>
                <td align="center">
                    <a href="https://pypi.org/project/torchio/">
                        <img src="https://img.shields.io/pypi/dm/torchio.svg?label=PyPI%20downloads&logo=python&logoColor=white" alt="PyPI downloads">
                    </a>
                    <a href="https://pypi.org/project/torchio/">
                        <img src="https://img.shields.io/pypi/v/torchio?label=PyPI%20version&logo=python&logoColor=white" alt="PyPI version">
                    </a>
                    <a href="https://github.com/fepegar/torchio#contributors-">
                        <img src="https://img.shields.io/badge/All_contributors-12-orange.svg" alt="All Contributors">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Docs</b>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/?badge=latest">
                        <img src="https://img.shields.io/readthedocs/torchio?label=Docs&logo=Read%20the%20Docs" alt="Documentation status">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Build</b>
                </td>
                <td align="center">
                    <a href="https://travis-ci.org/fepegar/torchio">
                        <img src="https://img.shields.io/travis/fepegar/torchio/master.svg?label=Travis%20CI%20build&logo=travis" alt="Build status">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Coverage</b>
                </td>
                <td align="center">
                    <a href="https://codecov.io/github/fepegar/torchio">
                        <img src="https://codecov.io/gh/fepegar/torchio/branch/master/graphs/badge.svg" alt="Coverage status">
                    </a>
                    <a href='https://coveralls.io/github/fepegar/torchio?branch=master'>
                        <img src='https://coveralls.io/repos/github/fepegar/torchio/badge.svg?branch=master' alt='Coverage Status' />
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Code</b>
                </td>
                <td align="center">
                    <a href="https://scrutinizer-ci.com/g/fepegar/torchio/?branch=master">
                        <img src="https://img.shields.io/scrutinizer/g/fepegar/torchio.svg?label=Code%20quality&logo=scrutinizer" alt="Code quality">
                    </a>
                    <a href="https://codeclimate.com/github/fepegar/torchio/maintainability">
                        <img src="https://api.codeclimate.com/v1/badges/518673e49a472dd5714d/maintainability" alt="Code maintainability">
                    </a>
                    <a href="https://github.com/pre-commit/pre-commit">
                        <img src="https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white" alt="pre-commit">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Notebooks</b>
                </td>
                <td align="center">
                    <a href="https://github.com/fepegar/torchio/blob/master/examples/README.md">
                        <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Google Colab">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="left">
                    <b>Social</b>
                </td>
                <td align="center">
                    <a href="https://join.slack.com/t/torchioworkspace/shared_invite/zt-exgpd5rm-BTpxg2MazwiiMDw7X9xMFg">
                        <img src="https://img.shields.io/badge/TorchIO-Join%20on%20Slack-blueviolet?style=flat&logo=slack" alt="Slack">
                    </a>
                </td>
            </tr>
        </table>
        
        ---
        
        <p align="center">
          <a href="https://torchio.readthedocs.io/transforms/augmentation.html">
            <img style="width: 360px; height: 360px; overflow: hidden;" src="docs/images/augmentation.gif" alt="Augmentation">
          </a>
        </p>
        
        ---
        
        <table align="center">
            <tr>
                <td align="center">Original</td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomblur">Random blur</a>
                </td>
            </tr>
            <tr>
                <td align="center"><img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/1_Lambda_mri.png" alt="Original"></td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomblur">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/2_RandomBlur_mri.gif" alt="Random blur">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomflip">Random flip</a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomnoise">Random noise</a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomflip">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/3_RandomFlip_mri.gif" alt="Random flip">
                    </a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomnoise">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/4_Compose_mri.gif" alt="Random noise">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomaffine">Random affine transformation</a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomelasticdeformation">Random elastic transformation</a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomaffine">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/5_RandomAffine_mri.gif" alt="Random affine transformation">
                    </a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomelasticdeformation">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/6_RandomElasticDeformation_mri.gif" alt="Random elastic transformation">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randombiasfield">Random bias field artifact</a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randommotion">Random motion artifact</a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randombiasfield">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/7_RandomBiasField_mri.gif" alt="Random bias field artifact">
                    </a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randommotion">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/8_RandomMotion_mri.gif" alt="Random motion artifact">
                    </a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomspike">Random spike artifact</a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomghosting">Random ghosting artifact</a>
                </td>
            </tr>
            <tr>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomspike">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/9_RandomSpike_mri.gif" alt="Random spike artifact">
                    </a>
                </td>
                <td align="center">
                    <a href="http://torchio.rtfd.io/transforms/augmentation.html#randomghosting">
                        <img src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/gifs_readme/10_RandomGhosting_mri.gif" alt="Random ghosting artifact">
                    </a>
                </td>
            </tr>
        </table>
        
        ---
        
        
        
        <a href="https://torchio.readthedocs.io/data/patch_based.html">
            <img align="center" style="width: 640px; height: 360px; overflow: hidden;" src="https://raw.githubusercontent.com/fepegar/torchio/master/docs/images/queue.gif" alt="Queue">
        </a>
        
        ([Queue](https://torchio.readthedocs.io/data/patch_training.html#queue)
        for [patch-based training](https://torchio.readthedocs.io/data/patch_based.html))
        
        ---
        
        TorchIO is a Python package containing a set of tools to efficiently
        read, preprocess, sample, augment, and write 3D medical images in deep learning applications
        written in [PyTorch](https://pytorch.org/),
        including intensity and spatial transforms
        for data augmentation and preprocessing.
        Transforms include typical computer vision operations
        such as random affine transformations and also domain-specific ones such as
        simulation of intensity artifacts due to
        [MRI magnetic field inhomogeneity](http://mriquestions.com/why-homogeneity.html)
        or [k-space motion artifacts](http://proceedings.mlr.press/v102/shaw19a.html).
        
        This package has been greatly inspired by NiftyNet,
        [which is not actively maintained anymore](https://github.com/NifTK/NiftyNet/commit/935bf4334cd00fa9f9d50f6a95ddcbfdde4031e0).
        
        
        ## Credits
        
        If you like this repository, please click on Star!
        
        If you use this package for your research, please cite the paper:
        
        > [Pérez-García, F., Sparks, R., Ourselin, S.: TorchIO: a Python library for efficient
        loading, preprocessing, augmentation and patch-based sampling of medical images
        in deep learning. arXiv:2003.04696 [cs, eess, stat] (Mar 2020), http://arxiv.org/abs/2003.04696, arXiv: 2003.04696](http://arxiv.org/abs/2003.04696)
        
        BibTeX entry:
        
        ```bibtex
        @article{perez-garcia_torchio_2020,
            title = {{TorchIO}: a {Python} library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning},
            shorttitle = {{TorchIO}},
            url = {http://arxiv.org/abs/2003.04696},
            urldate = {2020-03-11},
            journal = {arXiv:2003.04696 [cs, eess, stat]},
            author = {P{\'e}rez-Garc{\'i}a, Fernando and Sparks, Rachel and Ourselin, Sebastien},
            month = mar,
            year = {2020},
            note = {arXiv: 2003.04696},
            keywords = {Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning},
        }
        ```
        
        This project is supported by the [Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS)](https://www.ucl.ac.uk/interventional-surgical-sciences/) (University College London) and the [School of Biomedical Engineering & Imaging Sciences (BMEIS)](https://www.kcl.ac.uk/bmeis) (King's College London).
        
        
        ## Getting started
        
        See [Getting started](https://torchio.readthedocs.io/quickstart.html) for
        [installation](https://torchio.readthedocs.io/quickstart.html#installation)
        instructions
        and a [Hello, World!](https://torchio.readthedocs.io/quickstart.html#hello-world)
        example.
        
        Longer usage examples can be found in the
        [notebooks](https://github.com/fepegar/torchio/blob/master/examples/README.md).
        
        All the documentation is hosted on
        [Read the Docs](http://torchio.rtfd.io/).
        
        Please
        [open a new issue](https://github.com/fepegar/torchio/issues/new/choose)
        if you think something is missing.
        
        
        ## Contributors
        
        Thanks goes to all these people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
        
        <!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
        <!-- prettier-ignore-start -->
        <!-- markdownlint-disable -->
        <table>
          <tr>
            <td align="center"><a href="https://github.com/fepegar"><img src="https://avatars1.githubusercontent.com/u/12688084?v=4" width="100px;" alt=""/><br /><sub><b>Fernando Pérez-García</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=fepegar" title="Code">💻</a> <a href="https://github.com/fepegar/torchio/commits?author=fepegar" title="Documentation">📖</a></td>
            <td align="center"><a href="https://github.com/romainVala"><img src="https://avatars1.githubusercontent.com/u/5611962?v=4" width="100px;" alt=""/><br /><sub><b>valabregue</b></sub></a><br /><a href="#ideas-romainVala" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/fepegar/torchio/pulls?q=is%3Apr+reviewed-by%3AromainVala" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/fepegar/torchio/commits?author=romainVala" title="Code">💻</a></td>
            <td align="center"><a href="https://github.com/GFabien"><img src="https://avatars1.githubusercontent.com/u/39873986?v=4" width="100px;" alt=""/><br /><sub><b>GFabien</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=GFabien" title="Code">💻</a> <a href="https://github.com/fepegar/torchio/pulls?q=is%3Apr+reviewed-by%3AGFabien" title="Reviewed Pull Requests">👀</a> <a href="#ideas-GFabien" title="Ideas, Planning, & Feedback">🤔</a></td>
            <td align="center"><a href="https://github.com/GReguig"><img src="https://avatars1.githubusercontent.com/u/11228281?v=4" width="100px;" alt=""/><br /><sub><b>G.Reguig</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=GReguig" title="Code">💻</a></td>
            <td align="center"><a href="https://github.com/nwschurink"><img src="https://avatars3.githubusercontent.com/u/12720130?v=4" width="100px;" alt=""/><br /><sub><b>Niels Schurink</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=nwschurink" title="Code">💻</a></td>
            <td align="center"><a href="https://www.linkedin.com/in/ibrhad/ "><img src="https://avatars3.githubusercontent.com/u/18015788?v=4" width="100px;" alt=""/><br /><sub><b>Ibrahim Hadzic</b></sub></a><br /><a href="https://github.com/fepegar/torchio/issues?q=author%3Aibro45" title="Bug reports">🐛</a></td>
            <td align="center"><a href="https://github.com/ReubenDo"><img src="https://avatars1.githubusercontent.com/u/17268715?v=4" width="100px;" alt=""/><br /><sub><b>ReubenDo</b></sub></a><br /><a href="#ideas-ReubenDo" title="Ideas, Planning, & Feedback">🤔</a></td>
          </tr>
          <tr>
            <td align="center"><a href="http://julianklug.com"><img src="https://avatars0.githubusercontent.com/u/8020367?v=4" width="100px;" alt=""/><br /><sub><b>Julian Klug</b></sub></a><br /><a href="#ideas-MonsieurWave" title="Ideas, Planning, & Feedback">🤔</a></td>
            <td align="center"><a href="https://github.com/dvolgyes"><img src="https://avatars1.githubusercontent.com/u/425560?v=4" width="100px;" alt=""/><br /><sub><b>David Völgyes</b></sub></a><br /><a href="#ideas-dvolgyes" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/fepegar/torchio/commits?author=dvolgyes" title="Code">💻</a></td>
            <td align="center"><a href="https://www.linkedin.com/in/jfillionr/"><img src="https://avatars0.githubusercontent.com/u/219043?v=4" width="100px;" alt=""/><br /><sub><b>Jean-Christophe Fillion-Robin</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=jcfr" title="Documentation">📖</a></td>
            <td align="center"><a href="http://surajpai.tech"><img src="https://avatars1.githubusercontent.com/u/10467804?v=4" width="100px;" alt=""/><br /><sub><b>Suraj Pai</b></sub></a><br /><a href="#ideas-surajpaib" title="Ideas, Planning, & Feedback">🤔</a></td>
            <td align="center"><a href="https://github.com/bcdarwin"><img src="https://avatars2.githubusercontent.com/u/164148?v=4" width="100px;" alt=""/><br /><sub><b>Ben Darwin</b></sub></a><br /><a href="#ideas-bcdarwin" title="Ideas, Planning, & Feedback">🤔</a></td>
            <td align="center"><a href="https://github.com/OeslleLucena"><img src="https://avatars0.githubusercontent.com/u/19919194?v=4" width="100px;" alt=""/><br /><sub><b>Oeslle Lucena</b></sub></a><br /><a href="https://github.com/fepegar/torchio/issues?q=author%3AOeslleLucena" title="Bug reports">🐛</a></td>
            <td align="center"><a href="http://www.soumick.com"><img src="https://avatars0.githubusercontent.com/u/20525305?v=4" width="100px;" alt=""/><br /><sub><b>Soumick Chatterjee</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=soumickmj" title="Code">💻</a></td>
          </tr>
          <tr>
            <td align="center"><a href="https://github.com/neuronflow"><img src="https://avatars1.githubusercontent.com/u/7048826?v=4" width="100px;" alt=""/><br /><sub><b>neuronflow</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=neuronflow" title="Documentation">📖</a></td>
            <td align="center"><a href="https://github.com/jwitos"><img src="https://avatars2.githubusercontent.com/u/948674?v=4" width="100px;" alt=""/><br /><sub><b>Jan Witowski</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=jwitos" title="Documentation">📖</a></td>
            <td align="center"><a href="https://github.com/dmus"><img src="https://avatars1.githubusercontent.com/u/464378?v=4" width="100px;" alt=""/><br /><sub><b>Derk Mus</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=dmus" title="Documentation">📖</a> <a href="https://github.com/fepegar/torchio/commits?author=dmus" title="Code">💻</a></td>
            <td align="center"><a href="http://www.linkedin.com/in/che85"><img src="https://avatars2.githubusercontent.com/u/10195822?v=4" width="100px;" alt=""/><br /><sub><b>Christian Herz</b></sub></a><br /><a href="https://github.com/fepegar/torchio/issues?q=author%3Ache85" title="Bug reports">🐛</a></td>
            <td align="center"><a href="https://github.com/efirdc"><img src="https://avatars3.githubusercontent.com/u/5416313?v=4" width="100px;" alt=""/><br /><sub><b>Cory Efird</b></sub></a><br /><a href="https://github.com/fepegar/torchio/commits?author=efirdc" title="Code">💻</a></td>
          </tr>
        </table>
        
        <!-- markdownlint-enable -->
        <!-- prettier-ignore-end -->
        <!-- ALL-CONTRIBUTORS-LIST:END -->
        
        This project follows the
        [all-contributors](https://github.com/all-contributors/all-contributors)
        specification. Contributions of any kind welcome!
        
        
        History
        =======
        
        0.18.0 (29-11-2020)
        -------------------
        
        * Add ``FPG`` dataset
        * Optimize cropping in samplers
        * Optimize implementation of ``UniformSampler`` and ``WeightedSampler``
        * Fix non integer labels in Colin 27 version 2008 (#223)
        * Add ``RandomAnisotropy`` transform
        * Add ``RandomGamma`` transform
        * Add ``ScalarImage`` and ``LabelMap`` classes
        * Add ``RandomLabelsToImage`` transform
        * Add support for more input types in ``Transform``
        * Add support for 4D images
        * Add ICBM dataset
        * Add support to specify axes as anatomical labels
        * Add ``SpatialTransform`` and ``IntensityTransform``
        * Replace ``ImagesDataset`` with ``SubjectsDataset``
        * Add support to pass multiple paths to ``Image``
        * Refactor reproducibility features
        * Add deterministic versions of all random transforms
        * Add support to invert transforms
        * Add support for SimpleITK > 1
        * Add ``pre-commit`` to help contributions and improve coda quality
        * Add DICOM data for testing
        * Add some visualization support (``Subject.plot``, ``Image.plot``)
        * Add support to pass parameters per axis, e.g. for ``RandomAffine`` (#346)
        * Remove deprecated transforms ``Resample`` and ``CenterCropOrPad``
        
        0.17.0 (23-06-2020)
        -------------------
        
        * Add transforms history to ``Subject`` attributes to improve traceability
        * Add support to use an initial transformation in ``Resample``
        * Add support to use an image file as target in ``Resample``
        * Add ``mean`` argument to ``RandomNoise``
        * Add tensor support for transforms
        * Add support to use strings as interpolation argument
        * Add support for 2D images
        * Add attribute access to ``Subject`` and ``Image``
        * Add MNI and 3D Slicer datasets
        * Add ``intensity`` argument to ``RandomGhosting``
        * Add ``translation`` argument to ``RandomAffine``
        * Add shape, spacing and orientation attributes to ``Image`` and ``Subject``
        * Refactor samplers
        * Refactor inference classes
        * Add 3D Slicer extension
        * Add ITK-SNAP datasets
        * Add support to take NumPy arrays as transforms input
        * Optimize cropping using PyTorch
        * Optimizing transforms by reducing number of tensor copying
        * Improve representation (``repr()``) of ``Image``
        * Use lazy loading in ``Image``
        
        
        0.16.0 (21-04-2020)
        -------------------
        
        * Add advanced padding options for ``RandomAffine``
        * Add reference space options in ``Resample``
        * Add probability argument to all transforms
        * Add ``OneOf`` and ``Compose`` transforms to improve composability
        
        
        0.15.0 (07-04-2020)
        -------------------
        
        * Refactor ``RandomElasticDeformation`` transform
        * Make ``Subject`` inherit from ``dict``
        
        
        0.14.0 (31-03-2020)
        -------------------
        
        * Add ``datasets`` module
        * Add support for DICOM files
        * Add documentation
        * Add ``CropOrPad`` transform
        
        
        0.13.0 (24-02-2020)
        -------------------
        
        * Add ``Subject`` class
        * Add random blur transform
        * Add lambda transform
        * Add random patches swapping transform
        * Add MRI k-space ghosting artefact augmentation
        
        
        0.12.0 (21-01-2020)
        -------------------
        
        * Add ToCanonical transform
        * Add CenterCropOrPad transform
        
        
        0.11.0 (15-01-2020)
        -------------------
        
        * Add Resample transform
        
        
        0.10.0 (15-01-2020)
        -------------------
        
        * Add Pad transform
        * Add Crop transform
        
        
        0.9.0 (14-01-2020)
        ------------------
        
        * Add CLI tool to transform an image from file
        
        
        0.8.0 (11-01-2020)
        ------------------
        
        * Add Image class
        
        
        0.7.0 (02-01-2020)
        ------------------
        
        * Make transforms use PyTorch tensors consistently
        
        
        0.6.0 (02-01-2020)
        ------------------
        
        * Add support for NRRD
        
        
        0.5.0 (01-01-2020)
        ------------------
        
        * Add bias field transform
        
        
        0.4.0 (29-12-2019)
        ------------------
        
        * Add MRI k-space motion artefact augmentation
        
        
        0.3.0 (21-12-2019)
        ------------------
        
        * Add Rescale transform
        * Add support for multimodal data and missing modalities
        
        
        0.2.0 (2019-12-06)
        ------------------
        
        * First release on PyPI.
        
Keywords: torchio
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: plot
