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Several dcop algo implementation

Project description

# Dcop python

[![Documentation Status](https://readthedocs.org/projects/pydcop/badge/?version=latest)](http://pydcop.readthedocs.io/en/latest/?badge=latest) [![Build Status](https://travis-ci.org/Orange-OpenSource/pyDcop.svg?branch=master)](https://travis-ci.org/Orange-OpenSource/pyDcop)

pyDCOP is a python library for Distributed Constraints Optimization. It contains implementations of several standard DCOP algorithms (MaxSum, DSA, DPOP, etc.) and allows you to develop your own algorithms.

pyDCOP runs on python >= 3.5.

## Installation

Using pip is recommended, on ubuntu :

sudo apt-get install python3-setuptools sudo apt-get install python3-pip

I also recommend installing pyDCOP in a virtualenv, in order to avoid any conflict with other applications you might have:

python3 -m venv ~/.pydcop source ~/.pydcop/bin/activate

For now, installation is only from source :

cd pydcop pip install .

Or without pip, simply use :

python3 setup.py install

When developing on DCOP-python, one would rather use the following command, which installs pydcop in development mode and test dependencies:

pip install -e .[test]

To generate documentation, you need to install the corresponding dependencies:

pip install -e .[doc]

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