#
from __future__ import print_function
from __future__ import division
# Author: Markus Stabrin 2019 (markus.stabrin@mpi-dortmund.mpg.de)
# Author: Fabian Schoenfeld 2019 (fabian.schoenfeld@mpi-dortmund.mpg.de)
# Author: Thorsten Wagner 2019 (thorsten.wagner@mpi-dortmund.mpg.de)
# Author: Tapu Shaikh 2019 (tapu.shaikh@mpi-dortmund.mpg.de)
# Author: Adnan Ali 2019 (adnan.ali@mpi-dortmund.mpg.de)
# Author: Luca Lusnig 2019 (luca.lusnig@mpi-dortmund.mpg.de)
# Author: Toshio Moriya 2019 (toshio.moriya@kek.jp)
# Author: Pawel A.Penczek, 09/09/2006 (Pawel.A.Penczek@uth.tmc.edu)
#
# Copyright (c) 2019 Max Planck Institute of Molecular Physiology
# Copyright (c) 2000-2006 The University of Texas - Houston Medical School
#
# This software is issued under a joint BSD/GNU license. You may use the
# source code in this file under either license. However, note that the
# complete EMAN2 and SPARX software packages have some GPL dependencies,
# so you are responsible for compliance with the licenses of these packages
# if you opt to use BSD licensing. The warranty disclaimer below holfds
# in either instance.
#
# This complete copyright notice must be included in any revised version of the
# source code. Additional authorship citations may be added, but existing
# author citations must be preserved.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
#


import random


def generate_random_averages(data, K, rand_seed=-1):
    #  I prefer to take random images....  PAP
    if rand_seed == -1:
        random.seed(random.randint(1, 2000111222))
    else:
        random.seed(rand_seed)
    ndata = len(data)
    ll = list(range(ndata))
    random.shuffle(ll)
    return [data[ll[i]].copy() for i in range(K)]

    """Multiline Comment5"""

    return avgs


"""Multiline Comment3"""


"""Multiline Comment6"""


from builtins import range
