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# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2025
# ----------------------
#
# * `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_
# * `Laboratoire d'Informatique Fondamentale <http://www.lif.univ-mrs.fr/>`_
# (now `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_)
# * `Institut de Mathématiques de Marseille <http://www.i2m.univ-amu.fr/>`_
# * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
#
# This software is a port from LTFAT 2.1.0 :
# Copyright (C) 2005-2025 Peter L. Soendergaard <peter@sonderport.dk>.
#
# Contributors
# ------------
#
# * Denis Arrivault <contact.dev_AT_lis-lab.fr>
# * Florent Jaillet <contact.dev_AT_lis-lab.fr>
#
# Description
# -----------
#
# ltfatpy is a partial Python port of the
# `Large Time/Frequency Analysis Toolbox <http://ltfat.sourceforge.net/>`_,
# a MATLAB®/Octave toolbox for working with time-frequency analysis and
# synthesis.
#
# Version
# -------
#
# * ltfatpy version = 1.1.2
# * LTFAT version = 2.1.0
#
# Licence
# -------
#
# 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 3 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, see <http://www.gnu.org/licenses/>.
#
# ######### COPYRIGHT #########
"""Test of the plotdgt function
NOTE: Only the non-graphical features of plotdgt are tested here
.. moduleauthor:: Florent Jaillet
"""
from __future__ import print_function, division
import unittest
import numpy as np
from numpy.testing import assert_array_equal
from ltfatpy.gabor.plotdgt import plotdgt
# NOTE: The reference values used in the tests correspond to results
# obtained with Octave using ltfat 2.1.0
class TestPlotdgt(unittest.TestCase):
# Called before the tests.
def setUp(self):
print('\nStart TestPlotdgt')
# Called after the tests.
def tearDown(self):
print('Test done')
def test_working(self):
"""Check that plotdgt is working as expected
"""
coefs = (np.array([[1., 10.], [100., 1000.]]),
np.array([[1., 10.], [100., 1000.], [10000., 100000.]]),
np.array([[1., 10.], [100., 1000.], [10000., 100000.],
[1000000., 10000000.]]))
outs = (np.array([[0., 20.], [40., 60.]]),
np.array([[80., 100.], [0., 20.], [40., 60.]]),
np.array([[120., 140.], [0., 20.], [40., 60.], [80., 100.]]))
inputs = {}
inputs['a'] = 1
inputs['display'] = False
for coef, out_ref in zip(coefs, outs):
inputs['coef'] = coef
out = plotdgt(**inputs)
msg = ('wrong output in plotdgt with inputs ' + str(inputs))
assert_array_equal(out_ref, out, msg)
if __name__ == '__main__':
suite = unittest.TestLoader().loadTestsFromTestCase(TestPlotdgt)
unittest.TextTestRunner(verbosity=2).run(suite)
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