Commit 73f22972 authored by Jean-Baptiste Mouret's avatar Jean-Baptiste Mouret
Browse files

add license in python file

parent a689466e
#!/bin/python
# plot the results of the Bayesian Optimization benchmarks
#!/usr/bin/env python
# encoding: utf-8
#| Copyright Inria May 2015
#| This project has received funding from the European Research Council (ERC) under
#| the European Union's Horizon 2020 research and innovation programme (grant
#| agreement No 637972) - see http://www.resibots.eu
#|
#| Contributor(s):
#| - Jean-Baptiste Mouret (jean-baptiste.mouret@inria.fr)
#| - Antoine Cully (antoinecully@gmail.com)
#| - Konstantinos Chatzilygeroudis (konstantinos.chatzilygeroudis@inria.fr)
#| - Federico Allocati (fede.allocati@gmail.com)
#| - Vaios Papaspyros (b.papaspyros@gmail.com)
#| - Roberto Rama (bertoski@gmail.com)
#|
#| This software is a computer library whose purpose is to optimize continuous,
#| black-box functions. It mainly implements Gaussian processes and Bayesian
#| optimization.
#| Main repository: http://github.com/resibots/limbo
#| Documentation: http://www.resibots.eu/limbo
#|
#| This software is governed by the CeCILL-C license under French law and
#| abiding by the rules of distribution of free software. You can use,
#| modify and/ or redistribute the software under the terms of the CeCILL-C
#| license as circulated by CEA, CNRS and INRIA at the following URL
#| "http://www.cecill.info".
#|
#| As a counterpart to the access to the source code and rights to copy,
#| modify and redistribute granted by the license, users are provided only
#| with a limited warranty and the software's author, the holder of the
#| economic rights, and the successive licensors have only limited
#| liability.
#|
#| In this respect, the user's attention is drawn to the risks associated
#| with loading, using, modifying and/or developing or reproducing the
#| software by the user in light of its specific status of free software,
#| that may mean that it is complicated to manipulate, and that also
#| therefore means that it is reserved for developers and experienced
#| professionals having in-depth computer knowledge. Users are therefore
#| encouraged to load and test the software's suitability as regards their
#| requirements in conditions enabling the security of their systems and/or
#| data to be ensured and, more generally, to use and operate it in the
#| same conditions as regards security.
#|
#| The fact that you are presently reading this means that you have had
#| knowledge of the CeCILL-C license and that you accept its terms.
#|# plot the results of the Bayesian Optimization benchmarks
from glob import glob
from collections import defaultdict
......@@ -37,6 +82,7 @@ def load_data():
for f in files:
fs = f.split("/")
func, var, lib = fs[-1], fs[-2], fs[-3]
print func, var, lib
data[func][lib][var] = np.loadtxt(f)
return data
......
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