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|
%global _empty_manifest_terminate_build 0
Name: python-discretize
Version: 0.8.3
Release: 1
Summary: Discretization tools for finite volume and inverse problems
License: MIT
URL: http://simpeg.xyz/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3f/48/d047d6acdf1f91fe93d783b47d2ce67b455874f8add99e0447585321eba5/discretize-0.8.3.tar.gz
Requires: python3-numpy
Requires: python3-scipy
%description
**discretize** - A python package for finite volume discretization.
The vision is to create a package for finite volume simulation with a
focus on large scale inverse problems.
This package has the following features:
* modular with respect to the spacial discretization
* built with the inverse problem in mind
* supports 1D, 2D and 3D problems
* access to sparse matrix operators
* access to derivatives to mesh variables
Currently, discretize supports:
* Tensor Meshes (1D, 2D and 3D)
* Cylindrically Symmetric Meshes
* QuadTree and OcTree Meshes (2D and 3D)
* Logically Rectangular Meshes (2D and 3D)
* Triangular (2D) and Tetrahedral (3D) Meshes
Installing
^^^^^^^^^^
**discretize** is on conda-forge
conda install -c conda-forge discretize
**discretize** is on pypi
pip install discretize
To install from source
git clone https://github.com/simpeg/discretize.git
python setup.py install
Citing discretize
^^^^^^^^^^^^^^^^^
Please cite the SimPEG paper when using discretize in your work:
Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
**BibTex:**
@article{cockett2015simpeg,
title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
journal={Computers \& Geosciences},
year={2015},
publisher={Elsevier}
}
Links
^^^^^
Website:
http://simpeg.xyz
Documentation:
http://discretize.simpeg.xyz
Code:
https://github.com/simpeg/discretize
Tests:
https://travis-ci.org/simpeg/discretize
Bugs & Issues:
https://github.com/simpeg/discretize/issues
Questions:
http://simpeg.discourse.group/
Chat:
http://slack.simpeg.xyz/
%package -n python3-discretize
Summary: Discretization tools for finite volume and inverse problems
Provides: python-discretize
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-discretize
**discretize** - A python package for finite volume discretization.
The vision is to create a package for finite volume simulation with a
focus on large scale inverse problems.
This package has the following features:
* modular with respect to the spacial discretization
* built with the inverse problem in mind
* supports 1D, 2D and 3D problems
* access to sparse matrix operators
* access to derivatives to mesh variables
Currently, discretize supports:
* Tensor Meshes (1D, 2D and 3D)
* Cylindrically Symmetric Meshes
* QuadTree and OcTree Meshes (2D and 3D)
* Logically Rectangular Meshes (2D and 3D)
* Triangular (2D) and Tetrahedral (3D) Meshes
Installing
^^^^^^^^^^
**discretize** is on conda-forge
conda install -c conda-forge discretize
**discretize** is on pypi
pip install discretize
To install from source
git clone https://github.com/simpeg/discretize.git
python setup.py install
Citing discretize
^^^^^^^^^^^^^^^^^
Please cite the SimPEG paper when using discretize in your work:
Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
**BibTex:**
@article{cockett2015simpeg,
title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
journal={Computers \& Geosciences},
year={2015},
publisher={Elsevier}
}
Links
^^^^^
Website:
http://simpeg.xyz
Documentation:
http://discretize.simpeg.xyz
Code:
https://github.com/simpeg/discretize
Tests:
https://travis-ci.org/simpeg/discretize
Bugs & Issues:
https://github.com/simpeg/discretize/issues
Questions:
http://simpeg.discourse.group/
Chat:
http://slack.simpeg.xyz/
%package help
Summary: Development documents and examples for discretize
Provides: python3-discretize-doc
%description help
**discretize** - A python package for finite volume discretization.
The vision is to create a package for finite volume simulation with a
focus on large scale inverse problems.
This package has the following features:
* modular with respect to the spacial discretization
* built with the inverse problem in mind
* supports 1D, 2D and 3D problems
* access to sparse matrix operators
* access to derivatives to mesh variables
Currently, discretize supports:
* Tensor Meshes (1D, 2D and 3D)
* Cylindrically Symmetric Meshes
* QuadTree and OcTree Meshes (2D and 3D)
* Logically Rectangular Meshes (2D and 3D)
* Triangular (2D) and Tetrahedral (3D) Meshes
Installing
^^^^^^^^^^
**discretize** is on conda-forge
conda install -c conda-forge discretize
**discretize** is on pypi
pip install discretize
To install from source
git clone https://github.com/simpeg/discretize.git
python setup.py install
Citing discretize
^^^^^^^^^^^^^^^^^
Please cite the SimPEG paper when using discretize in your work:
Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
**BibTex:**
@article{cockett2015simpeg,
title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
journal={Computers \& Geosciences},
year={2015},
publisher={Elsevier}
}
Links
^^^^^
Website:
http://simpeg.xyz
Documentation:
http://discretize.simpeg.xyz
Code:
https://github.com/simpeg/discretize
Tests:
https://travis-ci.org/simpeg/discretize
Bugs & Issues:
https://github.com/simpeg/discretize/issues
Questions:
http://simpeg.discourse.group/
Chat:
http://slack.simpeg.xyz/
%prep
%autosetup -n discretize-0.8.3
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-discretize -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.3-1
- Package Spec generated
|
