Metadata-Version: 2.1
Name: sesamelib
Version: 0.0.6
Summary: UNKNOWN
Home-page: UNKNOWN
Author: Matthieu Simonin
Author-email: matthieu.simonin@inria.fr
License: UNKNOWN
Keywords: enoslib,evaluation,reproducible research,Grid5000,Chameleon Cloud,Vagrant
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: requests
Requires-Dist: ipython
Requires-Dist: numpy
Requires-Dist: ipdb
Requires-Dist: matplotlib

sesamelib 
=========

Util functions for sesame.

Installation
============


* User installation

.. code-block:: bash

    $) pip install sesamelib


You then must install pygdal. If you go with a virtual environment (virtualenv
/ pyenv) it won't problably not installed.
You first need to install GDAL binaries (check the documentation of GDAL), then

.. code-block:: bash

    # Get gdal version 
    $) gdalinfo  --version
    GDAL 2.2.3, released 2017/11/20

    # Get the right version of the bindings
    $) pip install pygdal==2.2.3.3



* Development installation


.. code-block:: bash

    $) pip install -e .

Test it
=======


There are some examples in the examples directory of the sources


