diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-11 10:43:58 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-11 10:43:58 +0000 |
| commit | 4e99961194ad465bd3bfa6b3240db1a2b7a2a8f9 (patch) | |
| tree | 9eddca5ceb95eea6306138363162aa167a1763b7 | |
| parent | a60a1e175600cb353fd8fdb0372158e851262b24 (diff) | |
automatic import of python-tesseract
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-tesseract.spec | 129 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 131 insertions, 0 deletions
@@ -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) <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 +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.3-1 +- Package Spec generated @@ -0,0 +1 @@ +960d52b63ed99e2665c007633904ebac tesseract-0.1.3.tar.gz |