source: python/tests/test_filterbank_mel.py @ 67024ff

feature/autosinkfeature/cnnfeature/cnn_orgfeature/constantqfeature/crepefeature/crepe_orgfeature/pitchshiftfeature/timestretchfix/ffmpeg5
Last change on this file since 67024ff was 67024ff, checked in by Paul Brossier <piem@piem.org>, 5 years ago

[tests] capture warnings from filterbank_mel, improve coverage

  • Property mode set to 100755
File size: 3.1 KB
Line 
1#! /usr/bin/env python
2
3import numpy as np
4from numpy.testing import TestCase, assert_equal, assert_almost_equal
5from _tools import assert_warns
6
7from aubio import cvec, filterbank, float_type
8
9class aubio_filterbank_mel_test_case(TestCase):
10
11    def test_slaney(self):
12        f = filterbank(40, 512)
13        f.set_mel_coeffs_slaney(16000)
14        a = f.get_coeffs()
15        assert_equal(np.shape (a), (40, 512/2 + 1) )
16
17    def test_other_slaney(self):
18        f = filterbank(40, 512*2)
19        f.set_mel_coeffs_slaney(44100)
20        self.assertIsInstance(f.get_coeffs(), np.ndarray)
21        #print "sum is", sum(sum(a))
22        for win_s in [256, 512, 1024, 2048, 4096]:
23            f = filterbank(40, win_s)
24            f.set_mel_coeffs_slaney(32000)
25            #print "sum is", sum(sum(a))
26            self.assertIsInstance(f.get_coeffs(), np.ndarray)
27
28    def test_triangle_freqs_zeros(self):
29        f = filterbank(9, 1024)
30        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
31        freqs = np.array(freq_list, dtype = float_type)
32        with assert_warns(UserWarning):
33            f.set_triangle_bands(freqs, 48000)
34        assert_equal ( f(cvec(1024)), 0)
35        self.assertIsInstance(f.get_coeffs(), np.ndarray)
36
37    def test_triangle_freqs_ones(self):
38        f = filterbank(9, 1024)
39        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
40        freqs = np.array(freq_list, dtype = float_type)
41        with assert_warns(UserWarning):
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_normal(self):
51        """ create a filter with set_triangle_bands, normal mode """
52        f = filterbank(3, 1024)
53        freq_list = [100, 1000, 10000, 15000, 20000]
54        freqs = np.array(freq_list, dtype = float_type)
55        f.set_triangle_bands(freqs, 44100)
56
57    def test_triangle_freqs_too_long(self):
58        """ create a filter with freq_list too long """
59        f = filterbank(2, 1024)
60        freq_list = [100, 1000, 10000, 15000, 20000]
61        freqs = np.array(freq_list, dtype = float_type)
62        with assert_warns(UserWarning):
63            f.set_triangle_bands(freqs, 44100)
64
65    def test_triangle_freqs_too_short(self):
66        """ create a filter with freq_list too short """
67        f = filterbank(4, 1024)
68        freq_list = [100, 1000, 10000, 15000, 20000]
69        freqs = np.array(freq_list, dtype = float_type)
70        with assert_warns(UserWarning):
71            f.set_triangle_bands(freqs, 44100)
72
73    def test_above_nyquist(self):
74        """ create a filter with freq_list too short """
75        f = filterbank(3, 1024)
76        freq_list = [100, 1000, 10000, 15000, 23000]
77        freqs = np.array(freq_list, dtype = float_type)
78        with assert_warns(UserWarning):
79            f.set_triangle_bands(freqs, 44100)
80
81if __name__ == '__main__':
82    from unittest import main
83    main()
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