%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 . 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 . 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 . 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 - 1.0.1b1-1 - Package Spec generated