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ReadTheDocs update
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thomgrand committed Jan 27, 2022
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14 changes: 14 additions & 0 deletions .readthedocs.yaml
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# .readthedocs.yaml

build:
image: latest

# Build documentation in the docs/ directory with Sphinx
sphinx:
configuration: docs/conf.py

python:
version: 3.8
pip_install: true
extra_requirements:
- docs
17 changes: 0 additions & 17 deletions README.md
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Expand Up @@ -49,20 +49,3 @@ You should see the recorded map of the [OpenEP](https://openep.io) example, toge

[https://cartoreader-lite.readthedocs.io/en/latest](https://cartoreader-lite.readthedocs.io/en/latest)

# Citation

If you use the library in your scientific projects, please cite the associated Zenodo archive: https://www.zenodo.org.

```bibtex
%TODO: FIM
@software{thomas_grandits_2021_5594452,
author = {Thomas Grandits},
title = {A Fast Iterative Method Python package},
month = oct,
year = 2021,
publisher = {Zenodo},
version = {1.1},
doi = {10.5281/zenodo.5594452},
url = {https://doi.org/10.5281/zenodo.5594452}
}
```
20 changes: 0 additions & 20 deletions docs/index.rst
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Expand Up @@ -40,26 +40,6 @@ Usage

.. include:: example.inc

Citation
------------

If you use the library in your scientific projects, please cite the associated `Zenodo archive <https://www.zenodo.org>`_.

.. code-block:: bibtex
%TODO
@software{thomas_grandits_2021_5594452,
author = {Thomas Grandits},
title = {A Fast Iterative Method Python package},
month = oct,
year = 2021,
publisher = {Zenodo},
version = {1.1},
doi = {10.5281/zenodo.5594452},
url = {https://doi.org/10.5281/zenodo.5594452}
}
Detailed Content
-----------------
.. toctree::
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2 changes: 1 addition & 1 deletion setup.py
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long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/thomgrand/cartoreader-lite",
packages=["cartoreader_lite", "cartoreader_lite.high_level", "cartoreader_lite.low_level"],
packages=["cartoreader_lite", "cartoreader_lite.high_level", "cartoreader_lite.low_level", "cartoreader_lite.postprocessing"],
install_requires=["numpy", "pyvista>=0.33", "vtk", "pandas", "scipy",
"trimesh", "rtree"], #Geometric postprocessing
classifiers=[
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