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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 postpad function
.. moduleauthor:: Florent Jaillet
"""
from __future__ import print_function, division
import unittest
import numpy as np
from ltfatpy.tools.postpad import postpad
class TestPostpad(unittest.TestCase):
# Called before the tests.
def setUp(self):
print('\nStart TestPostpad')
# Called after the tests.
def tearDown(self):
print('Test done')
def test_working(self):
"""Check that postpad works as expected
"""
inputs = {}
N = 5
inputs['x'] = np.arange(N, dtype=float)
# testing padding
inputs['L'] = 10
y = postpad(**inputs)
msg = ('Wrong shape in postpad output in the padding case using '
'inputs ' + str(inputs))
self.assertEqual(y.shape, (inputs['L'],), msg)
for val_x, val_y in zip(inputs['x'], y[:N]):
msg = ('Wrong output value in postpad, y should be equal to x in '
'the non-padded part. Inputs are ' + str(inputs))
self.assertEqual(val_x, val_y, msg)
for val in y[N:]:
msg = ('Wrong output value in postpad, y should be equal to 0. in '
'the padded part. Inputs are ' + str(inputs))
self.assertEqual(val, 0., msg)
# testing truncation
inputs['L'] = 3
y = postpad(**inputs)
msg = ('Wrong shape in postpad output in the truncation case using '
'inputs ' + str(inputs))
self.assertEqual(y.shape, (inputs['L'],), msg)
for val_x, val_y in zip(inputs['x'][:inputs['L']], y):
msg = ('Wrong output value in postpad, y should be equal to x in '
'the non-truncated part. Inputs are ' + str(inputs))
self.assertEqual(val_x, val_y, msg)
def test_default_val(self):
"""Check that expected default values are used
"""
# check that default value for C is 0.
inputs = {}
N = 3
inputs['x'] = np.ones(N)
inputs['L'] = N+1
y = postpad(**inputs)
msg = 'Wrong default value for C using inputs ' + str(inputs)
self.assertEqual(y[-1], 0., )
# check that default dim is the first non-singleton dimension
N = 3
inputs['L'] = N+1
x_shape = (1, 1, N, 5)
inputs['x'] = np.ones(x_shape)
y = postpad(**inputs)
y_exp_shape = (1, 1, inputs['L'], 5)
msg = 'Wrong default value for dim using inputs ' + str(inputs)
self.assertEqual(y.shape, y_exp_shape, msg)
def test_param_C(self):
"""Check that the value of C is taken into account
"""
inputs = {}
N = 3
inputs['C'] = 2.
inputs['x'] = np.ones(N)
inputs['L'] = N+1
y = postpad(**inputs)
msg = 'Postpad is misusing C with inputs ' + str(inputs)
self.assertEqual(y[-1], inputs['C'], msg)
def test_param_dim(self):
"""Check that dim is taken into account
"""
inputs = {}
N = 3
M = 4
inputs['L'] = 5
inputs['x'] = np.ones((N, M))
inputs['dim'] = 0
y = postpad(**inputs)
msg = 'postpad is misusing dim with inputs ' + str(inputs)
self.assertEqual(y.shape, (inputs['L'], M), msg)
inputs['dim'] = 1
y = postpad(**inputs)
msg = 'postpad is misusing dim with inputs ' + str(inputs)
self.assertEqual(y.shape, (N, inputs['L']), msg)
if __name__ == '__main__':
suite = unittest.TestLoader().loadTestsFromTestCase(TestPostpad)
unittest.TextTestRunner(verbosity=2).run(suite)
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