source: python/tests/test_filterbank_mel.py @ 693de50

feature/autosinkfeature/cnnfeature/cnn_orgfeature/constantqfeature/crepefeature/crepe_orgfeature/pitchshiftfeature/pydocstringsfeature/timestretchfix/ffmpeg5
Last change on this file since 693de50 was 693de50, checked in by Paul Brossier <piem@piem.org>, 5 years ago

[tests] also test for duplicate values in set_triangle_bands

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1#! /usr/bin/env python
2
3import numpy as np
4from numpy.testing import TestCase, assert_equal, assert_almost_equal
5
6from aubio import fvec, cvec, filterbank, float_type
7
8import warnings
9warnings.filterwarnings('ignore', category=UserWarning, append=True)
10
11class aubio_filterbank_mel_test_case(TestCase):
12
13    def test_slaney(self):
14        f = filterbank(40, 512)
15        f.set_mel_coeffs_slaney(16000)
16        a = f.get_coeffs()
17        assert_equal(np.shape (a), (40, 512/2 + 1) )
18
19    def test_other_slaney(self):
20        f = filterbank(40, 512*2)
21        f.set_mel_coeffs_slaney(44100)
22        self.assertIsInstance(f.get_coeffs(), np.ndarray)
23        #print "sum is", sum(sum(a))
24        for win_s in [256, 512, 1024, 2048, 4096]:
25            f = filterbank(40, win_s)
26            f.set_mel_coeffs_slaney(32000)
27            #print "sum is", sum(sum(a))
28            self.assertIsInstance(f.get_coeffs(), np.ndarray)
29
30    def test_triangle_freqs_zeros(self):
31        f = filterbank(9, 1024)
32        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
33        freqs = np.array(freq_list, dtype = float_type)
34        f.set_triangle_bands(freqs, 48000)
35        assert_equal ( f(cvec(1024)), 0)
36        self.assertIsInstance(f.get_coeffs(), np.ndarray)
37
38    def test_triangle_freqs_ones(self):
39        f = filterbank(9, 1024)
40        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
41        freqs = np.array(freq_list, dtype = float_type)
42        f.set_triangle_bands(freqs, 48000)
43        self.assertIsInstance(f.get_coeffs(), np.ndarray)
44        spec = cvec(1024)
45        spec.norm[:] = 1
46        assert_almost_equal ( f(spec),
47                [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
48                    0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
49
50    def test_triangle_freqs_with_zeros(self):
51        """make sure set_triangle_bands works when list starts with 0"""
52        freq_list = [0, 40, 80]
53        freqs = np.array(freq_list, dtype = float_type)
54        f = filterbank(len(freqs)-2, 1024)
55        f.set_triangle_bands(freqs, 48000)
56        assert_equal ( f(cvec(1024)), 0)
57        self.assertIsInstance(f.get_coeffs(), np.ndarray)
58
59    def test_triangle_freqs_with_wrong_negative(self):
60        """make sure set_triangle_bands fails when list contains a negative"""
61        freq_list = [-10, 0, 80]
62        f = filterbank(len(freq_list)-2, 1024)
63        with self.assertRaises(ValueError):
64            f.set_triangle_bands(fvec(freq_list), 48000)
65
66    def test_triangle_freqs_with_wrong_ordering(self):
67        """make sure set_triangle_bands fails when list not ordered"""
68        freq_list = [0, 80, 40]
69        f = filterbank(len(freq_list)-2, 1024)
70        with self.assertRaises(ValueError):
71            f.set_triangle_bands(fvec(freq_list), 48000)
72
73    def test_triangle_freqs_with_large_freq(self):
74        """make sure set_triangle_bands warns when freq > nyquist"""
75        samplerate = 22050
76        freq_list = [0, samplerate//4, samplerate // 2 + 1]
77        f = filterbank(len(freq_list)-2, 1024)
78        # TODO add assert_warns
79        f.set_triangle_bands(fvec(freq_list), samplerate)
80
81    def test_triangle_freqs_with_not_enough_filters(self):
82        """make sure set_triangle_bands warns when not enough filters"""
83        samplerate = 22050
84        freq_list = [0, 100, 1000, 4000, 8000, 10000]
85        f = filterbank(len(freq_list)-3, 1024)
86        # TODO add assert_warns
87        f.set_triangle_bands(fvec(freq_list), samplerate)
88
89    def test_triangle_freqs_with_too_many_filters(self):
90        """make sure set_triangle_bands warns when too many filters"""
91        samplerate = 22050
92        freq_list = [0, 100, 1000, 4000, 8000, 10000]
93        f = filterbank(len(freq_list)-1, 1024)
94        # TODO add assert_warns
95        f.set_triangle_bands(fvec(freq_list), samplerate)
96
97    def test_triangle_freqs_with_double_value(self):
98        """make sure set_triangle_bands works with 2 duplicate freqs"""
99        samplerate = 22050
100        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
101        f = filterbank(len(freq_list)-2, 1024)
102        # TODO add assert_warns
103        f.set_triangle_bands(fvec(freq_list), samplerate)
104
105    def test_triangle_freqs_with_triple(self):
106        """make sure set_triangle_bands works with 3 duplicate freqs"""
107        samplerate = 22050
108        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
109        f = filterbank(len(freq_list)-2, 1024)
110        # TODO add assert_warns
111        f.set_triangle_bands(fvec(freq_list), samplerate)
112
113if __name__ == '__main__':
114    import nose2
115    nose2.main()
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