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|
%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
[](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 [](https://pypi.org/project/Pyomo/) [](https://pypistats.org/packages/pyomo)
pip install pyomo
#### Anaconda [](https://anaconda.org/conda-forge/pyomo) [](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
[](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 [](https://pypi.org/project/Pyomo/) [](https://pypistats.org/packages/pyomo)
pip install pyomo
#### Anaconda [](https://anaconda.org/conda-forge/pyomo) [](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
[](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 [](https://pypi.org/project/Pyomo/) [](https://pypistats.org/packages/pyomo)
pip install pyomo
#### Anaconda [](https://anaconda.org/conda-forge/pyomo) [](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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 6.5.0-1
- Package Spec generated
|
