Metadata-Version: 2.1
Name: pao
Version: 1.0
Summary: PAO: Python Adversarial Optimization
Home-page: UNKNOWN
Maintainer: William E. Hart
Maintainer-email: wehart@sandia.gov
License: UNKNOWN
Keywords: optimization
Platform: any
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Requires-Dist: Pyomo
Requires-Dist: parameterized
Requires-Dist: scipy
Requires-Dist: munch

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# PAO Overview

PAO is a Python-based package for Adversarial Optimization.  PAO extends
the modeling concepts in [Pyomo](https://github.com/Pyomo/pyomo) to enable
the expression and solution of multi-level optimization problems. The goal
of this package is to provide a general modeling and analysis capability,
and application exemplars serve to illustrate PAO's general capabilities.

This package was derived from the capabilities in **pyomo.bilevel** and
**pyomo.dualize**, which are now deprecated.

Pyomo is available under the BSD License, see the LICENSE.txt file.

### Documentation

* [ReadTheDocs](http://pao.readthedocs.org/en/latest/)

### Installation

#### PyPI [![PyPI version](https://img.shields.io/pypi/v/pao.svg?maxAge=3600)](https://pypi.org/project/pao/) [![PyPI downloads](https://img.shields.io/pypi/dm/pao.svg?maxAge=21600)](https://pypistats.org/packages/pao)

    pip install pao

### Testing

Pyomo is currently tested with the following Python implementations:

* CPython: 3.7, 3.8, 3.9

Testing 

* pip install nose coverage

* Simple tests

  * nosetests .

* Tests with coverage

  * nosetests --with-xunit --with-coverage --cover-xml .
  * coverage report -m

### Getting Help

* [Add a Ticket](https://github.com/or-fusion/pao/issues/new)
* [Find a Ticket](https://github.com/or-fusion/pao/issues) and **Vote On It**!

### Developers

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.




