#! /usr/bin/env python
-from unittest import main
-from numpy.testing import TestCase
-from numpy.testing import assert_equal, assert_almost_equal
-from numpy import array, shape
-from aubio import cvec, filterbank, float_type
+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):
f = filterbank(40, 512)
f.set_mel_coeffs_slaney(16000)
a = f.get_coeffs()
- assert_equal(shape (a), (40, 512/2 + 1) )
+ assert_equal(np.shape (a), (40, 512/2 + 1) )
def test_other_slaney(self):
f = filterbank(40, 512*2)
f.set_mel_coeffs_slaney(44100)
- _ = f.get_coeffs()
+ 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)
- _ = f.get_coeffs()
#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 = array(freq_list, dtype = float_type)
+ freqs = np.array(freq_list, dtype = float_type)
f.set_triangle_bands(freqs, 48000)
- _ = f.get_coeffs().T
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 = array(freq_list, dtype = float_type)
+ freqs = np.array(freq_list, dtype = float_type)
f.set_triangle_bands(freqs, 48000)
- _ = f.get_coeffs().T
+ 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)
+
+ def test_triangle_freqs_with_double_value(self):
+ """make sure set_triangle_bands works with 2 duplicate freqs"""
+ samplerate = 22050
+ freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
+ f = filterbank(len(freq_list)-2, 1024)
+ # TODO add assert_warns
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+
+ def test_triangle_freqs_with_triple(self):
+ """make sure set_triangle_bands works with 3 duplicate freqs"""
+ samplerate = 22050
+ freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
+ f = filterbank(len(freq_list)-2, 1024)
+ # TODO add assert_warns
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+
+ def test_triangle_freqs_without_norm(self):
+ """make sure set_triangle_bands works without """
+ samplerate = 22050
+ freq_list = fvec([0, 100, 1000, 10000])
+ f = filterbank(len(freq_list) - 2, 1024)
+ f.set_norm(0)
+ f.set_triangle_bands(freq_list, samplerate)
+ expected = f.get_coeffs()
+ f.set_norm(1)
+ f.set_triangle_bands(fvec(freq_list), samplerate)
+ assert_almost_equal(f.get_coeffs().T,
+ expected.T * 2. / (freq_list[2:] - freq_list[:-2]))
+
+ def test_triangle_freqs_wrong_norm(self):
+ f = filterbank(10, 1024)
+ with self.assertRaises(ValueError):
+ f.set_norm(-1)
+
+ def test_triangle_freqs_with_power(self):
+ f = filterbank(9, 1024)
+ freqs = fvec([40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000,
+ 24000])
+ f.set_power(2)
+ f.set_triangle_bands(freqs, 48000)
+ spec = cvec(1024)
+ spec.norm[:] = .1
+ expected = fvec([0.02070313, 0.02138672, 0.02127604, 0.02135417,
+ 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
+ expected /= 100.
+ assert_almost_equal(f(spec), expected)
+
+ def test_mel_coeffs(self):
+ f = filterbank(40, 1024)
+ f.set_mel_coeffs(44100, 0, 44100 / 2)
+
+ def test_zero_fmax(self):
+ f = filterbank(40, 1024)
+ f.set_mel_coeffs(44100, 0, 0)
+
+ def test_wrong_mel_coeffs(self):
+ f = filterbank(40, 1024)
+ with self.assertRaises(ValueError):
+ f.set_mel_coeffs_slaney(0)
+ with self.assertRaises(ValueError):
+ f.set_mel_coeffs(44100, 0, -44100 / 2)
+ with self.assertRaises(ValueError):
+ f.set_mel_coeffs(44100, -0.1, 44100 / 2)
+ with self.assertRaises(ValueError):
+ f.set_mel_coeffs(-44100, 0.1, 44100 / 2)
+ with self.assertRaises(ValueError):
+ f.set_mel_coeffs_htk(-1, 0, 0)
+
+ def test_mel_coeffs_htk(self):
+ f = filterbank(40, 1024)
+ f.set_mel_coeffs_htk(44100, 0, 44100 / 2)
+
+
if __name__ == '__main__':
- main()
+ import nose2
+ nose2.main()
projects / aubio.git / blobdiff