Skip to main content

Several dcop algo implementation

Project description

# Dcop python

[![Documentation Status](]( [![Build Status](](

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 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]

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydcop-0.1.1.tar.gz (221.0 kB view hashes)

Uploaded Source

Built Distribution

pydcop-0.1.1-py3-none-any.whl (355.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page