#! /usr/bin/env python
-from numpy.testing import TestCase, run_module_suite
-from numpy.testing import assert_equal, assert_almost_equal
-from numpy import array, shape
-from aubio import cvec, filterbank
+import numpy as np
+from numpy.testing import TestCase, assert_equal, assert_almost_equal
+
+from aubio import fvec, cvec, filterbank, float_type
+
+import warnings
+warnings.filterwarnings('ignore', category=UserWarning, append=True)
class aubio_filterbank_mel_test_case(TestCase):
- def test_slaney(self):
- f = filterbank(40, 512)
- f.set_mel_coeffs_slaney(16000)
- a = f.get_coeffs()
- assert_equal(shape (a), (40, 512/2 + 1) )
-
- def test_other_slaney(self):
- f = filterbank(40, 512*2)
- f.set_mel_coeffs_slaney(44100)
- a = f.get_coeffs()
- #print "sum is", sum(sum(a))
- for win_s in [256, 512, 1024, 2048, 4096]:
- f = filterbank(40, win_s)
- f.set_mel_coeffs_slaney(320000)
- a = f.get_coeffs()
- #print "sum is", sum(sum(a))
-
- def test_triangle_freqs_zeros(self):
- f = filterbank(9, 1024)
- freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
- freqs = array(freq_list, dtype = 'float32')
- f.set_triangle_bands(freqs, 48000)
- f.get_coeffs().T
- assert_equal ( f(cvec(1024)), 0)
-
- def test_triangle_freqs_ones(self):
- f = filterbank(9, 1024)
- freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
- freqs = array(freq_list, dtype = 'float32')
- f.set_triangle_bands(freqs, 48000)
- f.get_coeffs().T
- spec = cvec(1024)
- spec.norm[:] = 1
- assert_almost_equal ( f(spec),
- [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
- 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
+ def test_slaney(self):
+ f = filterbank(40, 512)
+ f.set_mel_coeffs_slaney(16000)
+ a = f.get_coeffs()
+ assert_equal(np.shape (a), (40, 512/2 + 1) )
-if __name__ == '__main__':
- from unittest import main
- main()
+ def test_other_slaney(self):
+ f = filterbank(40, 512*2)
+ f.set_mel_coeffs_slaney(44100)
+ self.assertIsInstance(f.get_coeffs(), np.ndarray)
+ #print "sum is", sum(sum(a))
+ for win_s in [256, 512, 1024, 2048, 4096]:
+ f = filterbank(40, win_s)
+ f.set_mel_coeffs_slaney(32000)
+ #print "sum is", sum(sum(a))
+ self.assertIsInstance(f.get_coeffs(), np.ndarray)
+
+ def test_triangle_freqs_zeros(self):
+ f = filterbank(9, 1024)
+ freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
+ freqs = np.array(freq_list, dtype = float_type)
+ f.set_triangle_bands(freqs, 48000)
+ assert_equal ( f(cvec(1024)), 0)
+ self.assertIsInstance(f.get_coeffs(), np.ndarray)
+
+ def test_triangle_freqs_ones(self):
+ f = filterbank(9, 1024)
+ freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
+ freqs = np.array(freq_list, dtype = float_type)
+ f.set_triangle_bands(freqs, 48000)
+ self.assertIsInstance(f.get_coeffs(), np.ndarray)
+ spec = cvec(1024)
+ spec.norm[:] = 1
+ assert_almost_equal ( f(spec),
+ [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
+ 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
+
+ def test_triangle_freqs_with_zeros(self):
+ """make sure set_triangle_bands works when list starts with 0"""
+ freq_list = [0, 40, 80]
+ freqs = np.array(freq_list, dtype = float_type)
+ f = filterbank(len(freqs)-2, 1024)
+ f.set_triangle_bands(freqs, 48000)
+ assert_equal ( f(cvec(1024)), 0)
+ self.assertIsInstance(f.get_coeffs(), np.ndarray)
+ def test_triangle_freqs_with_wrong_negative(self):
+ """make sure set_triangle_bands fails when list contains a negative"""
+ freq_list = [-10, 0, 80]
+ f = filterbank(len(freq_list)-2, 1024)
+ with self.assertRaises(ValueError):
+ f.set_triangle_bands(fvec(freq_list), 48000)
+ def test_triangle_freqs_with_wrong_ordering(self):
+ """make sure set_triangle_bands fails when list not ordered"""
+ freq_list = [0, 80, 40]
+ f = filterbank(len(freq_list)-2, 1024)
+ with self.assertRaises(ValueError):
+ f.set_triangle_bands(fvec(freq_list), 48000)
+
+ def test_triangle_freqs_with_large_freq(self):
+ """make sure set_triangle_bands warns when freq > nyquist"""
+ samplerate = 22050
+ freq_list = [0, samplerate//4, samplerate // 2 + 1]
+ f = filterbank(len(freq_list)-2, 1024)
+ # TODO add assert_warns
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+
+ def test_triangle_freqs_with_not_enough_filters(self):
+ """make sure set_triangle_bands warns when not enough filters"""
+ samplerate = 22050
+ freq_list = [0, 100, 1000, 4000, 8000, 10000]
+ f = filterbank(len(freq_list)-3, 1024)
+ # TODO add assert_warns
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+
+ def test_triangle_freqs_with_too_many_filters(self):
+ """make sure set_triangle_bands warns when too many filters"""
+ samplerate = 22050
+ freq_list = [0, 100, 1000, 4000, 8000, 10000]
+ f = filterbank(len(freq_list)-1, 1024)
+ # TODO add assert_warns
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+
+if __name__ == '__main__':
+ import nose2
+ nose2.main()
projects / aubio.git / blobdiff