Metadata-Version: 2.0
Name: mot
Version: 0.2.10
Summary: Maastricht Optimization Toolbox
Home-page: https://github.com/cbclab/MOT
Author: Robbert Harms
Author-email: robbert.harms@maastrichtuniversity.nl
License: LGPL v3
Keywords: mot
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
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: Topic :: Scientific/Engineering
Requires-Dist: grako
Requires-Dist: numpy (>=1.9.0)
Requires-Dist: pyopencl (>=2013.1)

Maastricht Optimization Toolbox
===============================

.. image:: https://badge.fury.io/py/mot.png
    :target: http://badge.fury.io/py/mot


A library for parallel optimization and sampling using Python and OpenCL.

* Free software: LGPL v3 license
* Full documentation: https://mot.readthedocs.org
* Project home: https://github.com/cbclab/MOT
* Uses the `GitLab workflow <https://docs.gitlab.com/ee/workflow/gitlab_flow.html>`_
* Tags: optimization, parallel, opencl, python

Quick installation guide:

**Linux (Ubuntu)**

* ``sudo apt-get install python3 python3-pip python3-pyopencl``
* ``sudo pip3 install MOT``


**Windows**

* Install Python Anaconda 3.* 64bit from https://www.continuum.io/downloads
* Install PyOpenCL:
    * Using a binary package from http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyopencl (preferred method)
    * Compile PyOpenCL, this requires Visual Studio 2015 (Community edition or higher) with the Python and Common Tools for Visual C++ options enabled.
* Open a Anaconda shell and type: ``pip install MOT``


For more information and for more elaborate installation instructions, please see: https://mot.readthedocs.org


