1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
|
# -*- 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 dcti, dctii, dctiii, dctiv functions
.. moduleauthor:: Denis Arrivault
"""
from __future__ import print_function, division
import unittest
import numpy as np
from ltfatpy.fourier.dcti import dcti
from ltfatpy.fourier.dctii import dctii
from ltfatpy.fourier.dctiii import dctiii
from ltfatpy.fourier.dctiv import dctiv
from ltfatpy.tests.datasets.read_comp_dct_signal_ex_mat import DctSignals
from ltfatpy.tests.datasets.get_dataset_path import get_dataset_path
class TestDCT(unittest.TestCase):
# Called before the tests.
def setUp(self):
self.filename = get_dataset_path('comp_dct_signal_ex.mat')
# Called after the tests.
def tearDown(self):
print('Test done')
def test_default(self):
""" Comparing results with Matlab generated ones
"""
dgs = DctSignals(self.filename)
(TYPE, SIGNAL, L, W, DCT, dct_type) = dgs.read_next_signal()
while TYPE != '':
mess = "\n\nTYPE = " + TYPE + "\nL = " + str(L)
mess += "\nW = " + str(W) + "\ndct_type = " + str(dct_type)
mess += "\nSIGNAL =\n" + str(SIGNAL)
mess += "\nDCT\n" + str(DCT)
if dct_type == 1:
pydct = dcti(SIGNAL)
elif dct_type == 2:
pydct = dctii(SIGNAL)
elif dct_type == 3:
pydct = dctiii(SIGNAL)
elif dct_type == 4:
pydct = dctiv(SIGNAL)
else:
self.assertTrue(False, "Error in test datas")
mess += "\npydct = \n" + str(pydct)
self.assertTrue(np.linalg.norm(pydct-DCT) <= 1e-10, mess)
(TYPE, SIGNAL, L, W, DCT, dct_type) = dgs.read_next_signal()
def test_limit(self):
""" Some limit tests
"""
f = np.random.random_sample((128))
pydct = dcti(f, 1)
np.testing.assert_equal(f[0], pydct, "L = 1")
pydct = dctii(f, 1)
np.testing.assert_array_equal(f[0], pydct, "L = 1")
pydct = dctiii(f, 1)
np.testing.assert_array_equal(f[0], pydct, "L = 1")
pydct = dctiv(f, 1)
np.testing.assert_array_equal(f[0], pydct, "L = 1")
if __name__ == '__main__':
suite = unittest.TestLoader().loadTestsFromTestCase(TestDCT)
unittest.TextTestRunner(verbosity=2).run(suite)
|
