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diff --git a/python-structuralgt.spec b/python-structuralgt.spec new file mode 100644 index 0000000..faf1402 --- /dev/null +++ b/python-structuralgt.spec @@ -0,0 +1,210 @@ +%global _empty_manifest_terminate_build 0 +Name: python-StructuralGT +Version: 1.0.1b1 +Release: 1 +Summary: Automated graph theory analysis of digital structural networks images +License: GNU General Public License v3 +URL: https://github.com/drewvecchio/StructuralGT +Source0: https://mirrors.aliyun.com/pypi/web/packages/31/e2/f2cdfa1dd73ecb83cc212514ecb1a75a70565305f0020ad10910751ecf18/StructuralGT-1.0.1b1.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-scikit-image +Requires: python3-matplotlib +Requires: python3-networkx +Requires: python3-opencv-python +Requires: python3-sknw +Requires: python3-Pillow +Requires: python3-pandas + +%description +StructuralGT: An automated python package for graph theory analysis of structural networks. + +Designed for processing digital micrographs of complex network materials. + +For example, analyzing SEM images of polymer network. + + +StructuralGT is designed as an easy-to-use python-based application for applying graph theory (GT) analysis to +structural networks of a wide variety of material systems. This application converts digital images of +nano-/micro-/macro-scale structures into a GT representation of the structure in the image +consisting of nodes and the edges that connect them. Fibers (or fiber-like structures) are taken to represent edges, +and the location where a fiber branches, or 2 or more fibers intersect are taken to represent nodes. The program +operates with a graphical user interface (GUI) so that selecting images and processing the graphs are intuitive and +accessible to anyone, regardless of programming experience. Detection of networks from input images, the extraction of +the graph object, and the subsequent GT analysis of the graph is handled entirely from the GUI, and a PDF file with the +results of the analysis is saved. Also see StructuralGT_RC for added Ricci Curvature analysis. + + +See the README for detail information. + +https://github.com/drewvecchio/StructuralGT + +Copyright (C) 2021, The Regents of the University of Michigan. + +This program is free software: you can redistribute it and/or modify +it under the terms of the GNU General Public License as published by +the Free Software Foundation, either version 3 of the License, or +(at your option) any later version. + +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +GNU General Public License for more details. + +You should have received a copy of the GNU General Public License +along with this program. If not, see <https://www.gnu.org/licenses/>. + +Contributers: Drew Vecchio, Samuel Mahler, Mark D. Hammig, Nicholas A. Kotov + +Contact email: vecdrew@umich.edu + + + + + +%package -n python3-StructuralGT +Summary: Automated graph theory analysis of digital structural networks images +Provides: python-StructuralGT +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-StructuralGT +StructuralGT: An automated python package for graph theory analysis of structural networks. + +Designed for processing digital micrographs of complex network materials. + +For example, analyzing SEM images of polymer network. + + +StructuralGT is designed as an easy-to-use python-based application for applying graph theory (GT) analysis to +structural networks of a wide variety of material systems. This application converts digital images of +nano-/micro-/macro-scale structures into a GT representation of the structure in the image +consisting of nodes and the edges that connect them. Fibers (or fiber-like structures) are taken to represent edges, +and the location where a fiber branches, or 2 or more fibers intersect are taken to represent nodes. The program +operates with a graphical user interface (GUI) so that selecting images and processing the graphs are intuitive and +accessible to anyone, regardless of programming experience. Detection of networks from input images, the extraction of +the graph object, and the subsequent GT analysis of the graph is handled entirely from the GUI, and a PDF file with the +results of the analysis is saved. Also see StructuralGT_RC for added Ricci Curvature analysis. + + +See the README for detail information. + +https://github.com/drewvecchio/StructuralGT + +Copyright (C) 2021, The Regents of the University of Michigan. + +This program is free software: you can redistribute it and/or modify +it under the terms of the GNU General Public License as published by +the Free Software Foundation, either version 3 of the License, or +(at your option) any later version. + +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +GNU General Public License for more details. + +You should have received a copy of the GNU General Public License +along with this program. If not, see <https://www.gnu.org/licenses/>. + +Contributers: Drew Vecchio, Samuel Mahler, Mark D. Hammig, Nicholas A. Kotov + +Contact email: vecdrew@umich.edu + + + + + +%package help +Summary: Development documents and examples for StructuralGT +Provides: python3-StructuralGT-doc +%description help +StructuralGT: An automated python package for graph theory analysis of structural networks. + +Designed for processing digital micrographs of complex network materials. + +For example, analyzing SEM images of polymer network. + + +StructuralGT is designed as an easy-to-use python-based application for applying graph theory (GT) analysis to +structural networks of a wide variety of material systems. This application converts digital images of +nano-/micro-/macro-scale structures into a GT representation of the structure in the image +consisting of nodes and the edges that connect them. Fibers (or fiber-like structures) are taken to represent edges, +and the location where a fiber branches, or 2 or more fibers intersect are taken to represent nodes. The program +operates with a graphical user interface (GUI) so that selecting images and processing the graphs are intuitive and +accessible to anyone, regardless of programming experience. Detection of networks from input images, the extraction of +the graph object, and the subsequent GT analysis of the graph is handled entirely from the GUI, and a PDF file with the +results of the analysis is saved. Also see StructuralGT_RC for added Ricci Curvature analysis. + + +See the README for detail information. + +https://github.com/drewvecchio/StructuralGT + +Copyright (C) 2021, The Regents of the University of Michigan. + +This program is free software: you can redistribute it and/or modify +it under the terms of the GNU General Public License as published by +the Free Software Foundation, either version 3 of the License, or +(at your option) any later version. + +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +GNU General Public License for more details. + +You should have received a copy of the GNU General Public License +along with this program. If not, see <https://www.gnu.org/licenses/>. + +Contributers: Drew Vecchio, Samuel Mahler, Mark D. Hammig, Nicholas A. Kotov + +Contact email: vecdrew@umich.edu + + + + + +%prep +%autosetup -n StructuralGT-1.0.1b1 + +%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-StructuralGT -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1b1-1 +- Package Spec generated |