# Copyright (c) 2010 John Glover, National University of Ireland, Maynooth
# 
# 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

from simpl import lp
import numpy as np

class TestLP(object):

    def test_predict(self):
        """test_predict"""
        coefs = np.array([1,2,3,4,5])
        test_signal = np.ones(5)
        predictions = lp.predict(test_signal, coefs, 2)
        assert predictions[0] == -sum(coefs)
        assert predictions[1] == -sum(coefs[1:])-predictions[0]