# 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]
Release files for pydcop 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pydcop-0.1.0.tar.gz | 220.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pydcop-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 575.4 kB
Release files / pydcop-0.1.0.tar.gz
| Download URL | pydcop-0.1.0.tar.gz |
|---|---|
| Size | 220.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pydcop-0.1.0-py3-none-any.whl
| Download URL | pydcop-0.1.0-py3-none-any.whl |
|---|---|
| Size | 354.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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