add license in python file

waf_tools/plot_bo_benchmarks.py

-#!/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