From 4e99961194ad465bd3bfa6b3240db1a2b7a2a8f9 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 11 Apr 2023 10:43:58 +0000 Subject: automatic import of python-tesseract --- .gitignore | 1 + python-tesseract.spec | 129 ++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 131 insertions(+) create mode 100644 python-tesseract.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..c7800db 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/tesseract-0.1.3.tar.gz diff --git a/python-tesseract.spec b/python-tesseract.spec new file mode 100644 index 0000000..17a2a92 --- /dev/null +++ b/python-tesseract.spec @@ -0,0 +1,129 @@ +%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) `_. + +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) `_. + +Below are some useful links associated with TesseRACt: + * `PyPI `_ - The most recent stable release. + * `Docs `_ - Tutorials and descriptions of the package modules and functions. + * `Lang et al. (2015) `_ - The accompanying scientific paper. + +If you would like more information about TesseRACt, please contact `Meagan Lang `_. + +%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) `_. + +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) `_. + +Below are some useful links associated with TesseRACt: + * `PyPI `_ - The most recent stable release. + * `Docs `_ - Tutorials and descriptions of the package modules and functions. + * `Lang et al. (2015) `_ - The accompanying scientific paper. + +If you would like more information about TesseRACt, please contact `Meagan Lang `_. + +%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) `_. + +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) `_. + +Below are some useful links associated with TesseRACt: + * `PyPI `_ - The most recent stable release. + * `Docs `_ - Tutorials and descriptions of the package modules and functions. + * `Lang et al. (2015) `_ - The accompanying scientific paper. + +If you would like more information about TesseRACt, please contact `Meagan Lang `_. + +%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 +* Tue Apr 11 2023 Python_Bot - 0.1.3-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..d4d93bd --- /dev/null +++ b/sources @@ -0,0 +1 @@ +960d52b63ed99e2665c007633904ebac tesseract-0.1.3.tar.gz -- cgit v1.2.3