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%global _empty_manifest_terminate_build 0
Name: python-tesseract
Version: 0.1.3
Release: 1
Summary: Tesselation based Recovery of Amorphous halo Concentrations
License: UNKNOWN
URL: http://vpac00.phy.vanderbilt.edu/~langmm/index.html
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/8d/b7/c4fae9af5842f69d9c45bf1195a94aec090628535c102894552a7a7dbe6c/tesseract-0.1.3.tar.gz
BuildArch: noarch
%description
The TesseRACt package is designed to compute concentrations of simulated dark
matter halos from volume info for particles generated using Voronoi tesselation.
This technique is advantageous as it is non-parametric, does not assume
spherical symmetry, and allows for the presence of substructure. For a more
complete description of this technique including a comparison to other
techniques for calculating concentration, please see the accompanying paper
`Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
This package includes:
* **vorovol**: C program for computing the Voronoi diagram of particle data in a number of formats including Gadget-2, Gasoline, binary, and ASCII as well as BGC2 halo catalogues.
* routines for compiling, running, and parsing **vorovol** output
* routines for computing concentrations using particles volumes, traditional fitting to an NFW profile, and non-parametric techniques that assume spherical symmetry.
* routines and test halos for running many of the performance tests presented in `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
Below are some useful links associated with TesseRACt:
* `PyPI <https://pypi.python.org/pypi/tesseract>`_ - The most recent stable release.
* `Docs <http://pytesseract.readthedocs.org/en/latest/>`_ - Tutorials and descriptions of the package modules and functions.
* `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_ - The accompanying scientific paper.
If you would like more information about TesseRACt, please contact `Meagan Lang <mailto:cfh5058@gmail.com>`_.
%package -n python3-tesseract
Summary: Tesselation based Recovery of Amorphous halo Concentrations
Provides: python-tesseract
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-tesseract
The TesseRACt package is designed to compute concentrations of simulated dark
matter halos from volume info for particles generated using Voronoi tesselation.
This technique is advantageous as it is non-parametric, does not assume
spherical symmetry, and allows for the presence of substructure. For a more
complete description of this technique including a comparison to other
techniques for calculating concentration, please see the accompanying paper
`Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
This package includes:
* **vorovol**: C program for computing the Voronoi diagram of particle data in a number of formats including Gadget-2, Gasoline, binary, and ASCII as well as BGC2 halo catalogues.
* routines for compiling, running, and parsing **vorovol** output
* routines for computing concentrations using particles volumes, traditional fitting to an NFW profile, and non-parametric techniques that assume spherical symmetry.
* routines and test halos for running many of the performance tests presented in `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
Below are some useful links associated with TesseRACt:
* `PyPI <https://pypi.python.org/pypi/tesseract>`_ - The most recent stable release.
* `Docs <http://pytesseract.readthedocs.org/en/latest/>`_ - Tutorials and descriptions of the package modules and functions.
* `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_ - The accompanying scientific paper.
If you would like more information about TesseRACt, please contact `Meagan Lang <mailto:cfh5058@gmail.com>`_.
%package help
Summary: Development documents and examples for tesseract
Provides: python3-tesseract-doc
%description help
The TesseRACt package is designed to compute concentrations of simulated dark
matter halos from volume info for particles generated using Voronoi tesselation.
This technique is advantageous as it is non-parametric, does not assume
spherical symmetry, and allows for the presence of substructure. For a more
complete description of this technique including a comparison to other
techniques for calculating concentration, please see the accompanying paper
`Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
This package includes:
* **vorovol**: C program for computing the Voronoi diagram of particle data in a number of formats including Gadget-2, Gasoline, binary, and ASCII as well as BGC2 halo catalogues.
* routines for compiling, running, and parsing **vorovol** output
* routines for computing concentrations using particles volumes, traditional fitting to an NFW profile, and non-parametric techniques that assume spherical symmetry.
* routines and test halos for running many of the performance tests presented in `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.
Below are some useful links associated with TesseRACt:
* `PyPI <https://pypi.python.org/pypi/tesseract>`_ - The most recent stable release.
* `Docs <http://pytesseract.readthedocs.org/en/latest/>`_ - Tutorials and descriptions of the package modules and functions.
* `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_ - The accompanying scientific paper.
If you would like more information about TesseRACt, please contact `Meagan Lang <mailto:cfh5058@gmail.com>`_.
%prep
%autosetup -n tesseract-0.1.3
%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-tesseract -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1
- Package Spec generated
|
