import numpy as np
from numpy.testing import TestCase, assert_equal, assert_almost_equal
-from aubio import cvec, filterbank, float_type
+from aubio import fvec, cvec, filterbank, float_type
import warnings
warnings.filterwarnings('ignore', category=UserWarning, append=True)
[ 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()