# Dcop python
[](http://pydcop.readthedocs.io/en/latest/?badge=latest) [](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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