%global _empty_manifest_terminate_build 0 Name: python-Pyomo Version: 6.5.0 Release: 1 Summary: Pyomo: Python Optimization Modeling Objects License: BSD URL: http://pyomo.org Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f6/e1/4245e936293827a8491cc6c80a89537946e69738fd83053f7ae2928ada7d/Pyomo-6.5.0.tar.gz Requires: python3-ply Requires: python3-Sphinx Requires: python3-sphinx-copybutton Requires: python3-sphinx-rtd-theme Requires: python3-sphinxcontrib-jsmath Requires: python3-sphinxcontrib-napoleon Requires: python3-numpy Requires: python3-scipy Requires: python3-dill Requires: python3-ipython Requires: python3-matplotlib Requires: python3-networkx Requires: python3-numpy Requires: python3-openpyxl Requires: python3-pint Requires: python3-plotly Requires: python3-louvain Requires: python3-pyyaml Requires: python3-scipy Requires: python3-sympy Requires: python3-xlrd Requires: python3-z3-solver Requires: python3-numdifftools Requires: python3-pandas Requires: python3-seaborn Requires: python3-casadi Requires: python3-pywin32 Requires: python3-coverage Requires: python3-pytest Requires: python3-pytest-parallel Requires: python3-parameterized Requires: python3-pybind11 %description [![a COIN-OR project](https://www.coin-or.org/GitHub/coin-or-badge.png)](https://www.coin-or.org) ## Pyomo Overview Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Pyomo supports a wide range of problem types, including: - Linear programming - Quadratic programming - Nonlinear programming - Mixed-integer linear programming - Mixed-integer quadratic programming - Mixed-integer nonlinear programming - Mixed-integer stochastic programming - Generalized disjunctive programming - Differential algebraic equations - Mathematical programming with equilibrium constraints - Constraint programming Pyomo supports analysis and scripting within a full-featured programming language. Further, Pyomo has also proven an effective framework for developing high-level optimization and analysis tools. For example, the [`mpi-sppy`](https://github.com/Pyomo/mpi-sppy) package provides generic solvers for stochastic programming. `mpi-sppy` leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using Python parallel communication libraries. * [Pyomo Home](http://www.pyomo.org) * [About Pyomo](http://www.pyomo.org/about) * [Download](http://www.pyomo.org/installation/) * [Documentation](http://www.pyomo.org/documentation/) * [Performance Plots](https://software.sandia.gov/downloads/pub/pyomo/performance/index.html) Pyomo was formerly released as the Coopr software library. Pyomo is available under the BSD License - see the [`LICENSE.md`](https://github.com/Pyomo/pyomo/blob/main/LICENSE.md) file. Pyomo is currently tested with the following Python implementations: * CPython: 3.7, 3.8, 3.9, 3.10, 3.11 * PyPy: 3.7, 3.8, 3.9 _Testing and support policy_: At the time of the first Pyomo release after the end-of-life of a minor Python version, we will remove testing for that Python version. ### Installation #### PyPI [![PyPI version](https://img.shields.io/pypi/v/pyomo.svg?maxAge=3600)](https://pypi.org/project/Pyomo/) [![PyPI downloads](https://img.shields.io/pypi/dm/pyomo.svg?maxAge=21600)](https://pypistats.org/packages/pyomo) pip install pyomo #### Anaconda [![Anaconda version](https://anaconda.org/conda-forge/pyomo/badges/version.svg)](https://anaconda.org/conda-forge/pyomo) [![Anaconda downloads](https://anaconda.org/conda-forge/pyomo/badges/downloads.svg)](https://anaconda.org/conda-forge/pyomo) conda install -c conda-forge pyomo ### Tutorials and Examples * [Pyomo Workshop Slides](https://software.sandia.gov/downloads/pub/pyomo/Pyomo-Workshop-Summer-2018.pdf) * [Prof. Jeffrey Kantor's Pyomo Cookbook](https://jckantor.github.io/ND-Pyomo-Cookbook/) * [Pyomo Gallery](https://github.com/Pyomo/PyomoGallery) ### Getting Help To get help from the Pyomo community ask a question on one of the following: * [Use the #pyomo tag on StackOverflow](https://stackoverflow.com/questions/ask?tags=pyomo) * [Pyomo Forum](https://groups.google.com/forum/?hl=en#!forum/pyomo-forum) ### Developers Pyomo development moved to this repository in June, 2016 from Sandia National Laboratories. Developer discussions are hosted by [Google Groups](https://groups.google.com/forum/#!forum/pyomo-developers). The Pyomo Development team holds weekly coordination meetings on Tuesdays 12:30 - 14:00 (MT). Please contact wg-pyomo@sandia.gov to request call-in information. By contributing to this software project, you are agreeing to the following terms and conditions for your contributions: 1. You agree your contributions are submitted under the BSD license. 2. You represent you are authorized to make the contributions and grant the license. If your employer has rights to intellectual property that includes your contributions, you represent that you have received permission to make contributions and grant the required license on behalf of that employer. ### Related Packages See https://pyomo.readthedocs.io/en/latest/related_packages.html. %package -n python3-Pyomo Summary: Pyomo: Python Optimization Modeling Objects Provides: python-Pyomo BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip BuildRequires: python3-cffi BuildRequires: gcc BuildRequires: gdb %description -n python3-Pyomo [![a COIN-OR project](https://www.coin-or.org/GitHub/coin-or-badge.png)](https://www.coin-or.org) ## Pyomo Overview Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Pyomo supports a wide range of problem types, including: - Linear programming - Quadratic programming - Nonlinear programming - Mixed-integer linear programming - Mixed-integer quadratic programming - Mixed-integer nonlinear programming - Mixed-integer stochastic programming - Generalized disjunctive programming - Differential algebraic equations - Mathematical programming with equilibrium constraints - Constraint programming Pyomo supports analysis and scripting within a full-featured programming language. Further, Pyomo has also proven an effective framework for developing high-level optimization and analysis tools. For example, the [`mpi-sppy`](https://github.com/Pyomo/mpi-sppy) package provides generic solvers for stochastic programming. `mpi-sppy` leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using Python parallel communication libraries. * [Pyomo Home](http://www.pyomo.org) * [About Pyomo](http://www.pyomo.org/about) * [Download](http://www.pyomo.org/installation/) * [Documentation](http://www.pyomo.org/documentation/) * [Performance Plots](https://software.sandia.gov/downloads/pub/pyomo/performance/index.html) Pyomo was formerly released as the Coopr software library. Pyomo is available under the BSD License - see the [`LICENSE.md`](https://github.com/Pyomo/pyomo/blob/main/LICENSE.md) file. Pyomo is currently tested with the following Python implementations: * CPython: 3.7, 3.8, 3.9, 3.10, 3.11 * PyPy: 3.7, 3.8, 3.9 _Testing and support policy_: At the time of the first Pyomo release after the end-of-life of a minor Python version, we will remove testing for that Python version. ### Installation #### PyPI [![PyPI version](https://img.shields.io/pypi/v/pyomo.svg?maxAge=3600)](https://pypi.org/project/Pyomo/) [![PyPI downloads](https://img.shields.io/pypi/dm/pyomo.svg?maxAge=21600)](https://pypistats.org/packages/pyomo) pip install pyomo #### Anaconda [![Anaconda version](https://anaconda.org/conda-forge/pyomo/badges/version.svg)](https://anaconda.org/conda-forge/pyomo) [![Anaconda downloads](https://anaconda.org/conda-forge/pyomo/badges/downloads.svg)](https://anaconda.org/conda-forge/pyomo) conda install -c conda-forge pyomo ### Tutorials and Examples * [Pyomo Workshop Slides](https://software.sandia.gov/downloads/pub/pyomo/Pyomo-Workshop-Summer-2018.pdf) * [Prof. Jeffrey Kantor's Pyomo Cookbook](https://jckantor.github.io/ND-Pyomo-Cookbook/) * [Pyomo Gallery](https://github.com/Pyomo/PyomoGallery) ### Getting Help To get help from the Pyomo community ask a question on one of the following: * [Use the #pyomo tag on StackOverflow](https://stackoverflow.com/questions/ask?tags=pyomo) * [Pyomo Forum](https://groups.google.com/forum/?hl=en#!forum/pyomo-forum) ### Developers Pyomo development moved to this repository in June, 2016 from Sandia National Laboratories. Developer discussions are hosted by [Google Groups](https://groups.google.com/forum/#!forum/pyomo-developers). The Pyomo Development team holds weekly coordination meetings on Tuesdays 12:30 - 14:00 (MT). Please contact wg-pyomo@sandia.gov to request call-in information. By contributing to this software project, you are agreeing to the following terms and conditions for your contributions: 1. You agree your contributions are submitted under the BSD license. 2. You represent you are authorized to make the contributions and grant the license. If your employer has rights to intellectual property that includes your contributions, you represent that you have received permission to make contributions and grant the required license on behalf of that employer. ### Related Packages See https://pyomo.readthedocs.io/en/latest/related_packages.html. %package help Summary: Development documents and examples for Pyomo Provides: python3-Pyomo-doc %description help [![a COIN-OR project](https://www.coin-or.org/GitHub/coin-or-badge.png)](https://www.coin-or.org) ## Pyomo Overview Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers. Pyomo supports a wide range of problem types, including: - Linear programming - Quadratic programming - Nonlinear programming - Mixed-integer linear programming - Mixed-integer quadratic programming - Mixed-integer nonlinear programming - Mixed-integer stochastic programming - Generalized disjunctive programming - Differential algebraic equations - Mathematical programming with equilibrium constraints - Constraint programming Pyomo supports analysis and scripting within a full-featured programming language. Further, Pyomo has also proven an effective framework for developing high-level optimization and analysis tools. For example, the [`mpi-sppy`](https://github.com/Pyomo/mpi-sppy) package provides generic solvers for stochastic programming. `mpi-sppy` leverages the fact that Pyomo's modeling objects are embedded within a full-featured high-level programming language, which allows for transparent parallelization of subproblems using Python parallel communication libraries. * [Pyomo Home](http://www.pyomo.org) * [About Pyomo](http://www.pyomo.org/about) * [Download](http://www.pyomo.org/installation/) * [Documentation](http://www.pyomo.org/documentation/) * [Performance Plots](https://software.sandia.gov/downloads/pub/pyomo/performance/index.html) Pyomo was formerly released as the Coopr software library. Pyomo is available under the BSD License - see the [`LICENSE.md`](https://github.com/Pyomo/pyomo/blob/main/LICENSE.md) file. Pyomo is currently tested with the following Python implementations: * CPython: 3.7, 3.8, 3.9, 3.10, 3.11 * PyPy: 3.7, 3.8, 3.9 _Testing and support policy_: At the time of the first Pyomo release after the end-of-life of a minor Python version, we will remove testing for that Python version. ### Installation #### PyPI [![PyPI version](https://img.shields.io/pypi/v/pyomo.svg?maxAge=3600)](https://pypi.org/project/Pyomo/) [![PyPI downloads](https://img.shields.io/pypi/dm/pyomo.svg?maxAge=21600)](https://pypistats.org/packages/pyomo) pip install pyomo #### Anaconda [![Anaconda version](https://anaconda.org/conda-forge/pyomo/badges/version.svg)](https://anaconda.org/conda-forge/pyomo) [![Anaconda downloads](https://anaconda.org/conda-forge/pyomo/badges/downloads.svg)](https://anaconda.org/conda-forge/pyomo) conda install -c conda-forge pyomo ### Tutorials and Examples * [Pyomo Workshop Slides](https://software.sandia.gov/downloads/pub/pyomo/Pyomo-Workshop-Summer-2018.pdf) * [Prof. Jeffrey Kantor's Pyomo Cookbook](https://jckantor.github.io/ND-Pyomo-Cookbook/) * [Pyomo Gallery](https://github.com/Pyomo/PyomoGallery) ### Getting Help To get help from the Pyomo community ask a question on one of the following: * [Use the #pyomo tag on StackOverflow](https://stackoverflow.com/questions/ask?tags=pyomo) * [Pyomo Forum](https://groups.google.com/forum/?hl=en#!forum/pyomo-forum) ### Developers Pyomo development moved to this repository in June, 2016 from Sandia National Laboratories. Developer discussions are hosted by [Google Groups](https://groups.google.com/forum/#!forum/pyomo-developers). The Pyomo Development team holds weekly coordination meetings on Tuesdays 12:30 - 14:00 (MT). Please contact wg-pyomo@sandia.gov to request call-in information. By contributing to this software project, you are agreeing to the following terms and conditions for your contributions: 1. You agree your contributions are submitted under the BSD license. 2. You represent you are authorized to make the contributions and grant the license. If your employer has rights to intellectual property that includes your contributions, you represent that you have received permission to make contributions and grant the required license on behalf of that employer. ### Related Packages See https://pyomo.readthedocs.io/en/latest/related_packages.html. %prep %autosetup -n Pyomo-6.5.0 %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-Pyomo -f filelist.lst %dir %{python3_sitearch}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 6.5.0-1 - Package Spec generated