ref: 67024ff73e3e2ef77483a01b789ccd129c309500
parent: 5af36fa9234e120fce5add7968ca52130c8355d8
author: Paul Brossier <piem@piem.org>
date: Fri Nov 2 16:34:17 EDT 2018
[tests] capture warnings from filterbank_mel, improve coverage
--- a/python/tests/test_filterbank_mel.py
+++ b/python/tests/test_filterbank_mel.py
@@ -2,6 +2,7 @@
import numpy as np
from numpy.testing import TestCase, assert_equal, assert_almost_equal
+from _tools import assert_warns
from aubio import cvec, filterbank, float_type
@@ -28,7 +29,8 @@
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)
@@ -36,7 +38,8 @@
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
@@ -43,6 +46,37 @@
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_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)
if __name__ == '__main__':
from unittest import main
--- a/python/tests/test_source.py
+++ b/python/tests/test_source.py
@@ -69,7 +69,7 @@
read_frames = self.read_from_source(f)
if 'f_' in soundfile and samplerate == 0:
import re
- f = re.compile('.*_\([0:9]*f\)_.*')+ f = re.compile(r'.*_\([0:9]*f\)_.*')
match_f = re.findall('([0-9]*)f_', soundfile)if len(match_f) == 1:
expected_frames = int(match_f[0])