import numpy as np
from numpy.testing import TestCase, assert_equal, assert_almost_equal
+from _tools import assert_warns
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(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)
+ with assert_warns(UserWarning):
+ f.set_triangle_bands(freqs, 48000)
assert_equal ( f(cvec(1024)), 0)
self.assertIsInstance(f.get_coeffs(), np.ndarray)
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)
+ with assert_warns(UserWarning):
+ f.set_triangle_bands(freqs, 48000)
self.assertIsInstance(f.get_coeffs(), np.ndarray)
spec = cvec(1024)
spec.norm[:] = 1
[ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
+ def test_triangle_freqs_normal(self):
+ """ create a filter with set_triangle_bands, normal mode """
+ f = filterbank(3, 1024)
+ freq_list = [100, 1000, 10000, 15000, 20000]
+ freqs = np.array(freq_list, dtype = float_type)
+ f.set_triangle_bands(freqs, 44100)
+
+ def test_triangle_freqs_too_long(self):
+ """ create a filter with freq_list too long """
+ f = filterbank(2, 1024)
+ freq_list = [100, 1000, 10000, 15000, 20000]
+ freqs = np.array(freq_list, dtype = float_type)
+ with assert_warns(UserWarning):
+ f.set_triangle_bands(freqs, 44100)
+
+ def test_triangle_freqs_too_short(self):
+ """ create a filter with freq_list too short """
+ f = filterbank(4, 1024)
+ freq_list = [100, 1000, 10000, 15000, 20000]
+ freqs = np.array(freq_list, dtype = float_type)
+ with assert_warns(UserWarning):
+ f.set_triangle_bands(freqs, 44100)
+
+ def test_above_nyquist(self):
+ """ create a filter with freq_list too short """
+ f = filterbank(3, 1024)
+ freq_list = [100, 1000, 10000, 15000, 23000]
+ freqs = np.array(freq_list, dtype = float_type)
+ with assert_warns(UserWarning):
+ f.set_triangle_bands(freqs, 44100)
+
def test_triangle_freqs_with_zeros(self):
"""make sure set_triangle_bands works when list starts with 0"""
freq_list = [0, 40, 80]
# TODO add assert_warns
f.set_triangle_bands(fvec(freq_list), samplerate)
+
if __name__ == '__main__':
- import nose2
- nose2.main()
+ from unittest import main
+ main()