#! /usr/bin/env python
-from numpy.testing import TestCase, assert_equal, assert_almost_equal
+from numpy.testing import TestCase, assert_equal, assert_array_less
+from _tools import parametrize, skipTest
from aubio import fvec, cvec, pvoc, float_type
-from numpy import array, shape
-from numpy.random import random
import numpy as np
-precision = 4
+if float_type == 'float32':
+ max_sq_error = 1.e-12
+else:
+ max_sq_error = 1.e-29
-class aubio_pvoc_test_case(TestCase):
+def create_sine(hop_s, freq, samplerate):
+ t = np.arange(hop_s).astype(float_type)
+ return np.sin( 2. * np.pi * freq * t / float(samplerate))
+
+def create_noise(hop_s):
+ return np.random.rand(hop_s).astype(float_type) * 2. - 1.
+
+class Test_aubio_pvoc_test_case(object):
""" pvoc object test case """
def test_members_automatic_sizes_default(self):
win_s, hop_s = 1024, 256
f = pvoc (win_s, hop_s)
t = fvec (hop_s)
- for time in range( int ( 4 * win_s / hop_s ) ):
+ for _ in range( int ( 4 * win_s / hop_s ) ):
s = f(t)
r = f.rdo(s)
- assert_equal ( array(t), 0)
- assert_equal ( s.norm, 0)
- assert_equal ( s.phas, 0)
- assert_equal ( r, 0)
-
- def test_resynth_8_steps(self):
- """ check the resynthesis of is correct with 87.5% overlap """
- hop_s = 256
- ratio = 8
- sigin = np.random.rand(hop_s).astype(float_type) * 2. - 1.
- buf_s = hop_s * ratio
- f = pvoc(buf_s, hop_s)
- zeros = fvec(hop_s)
- r2 = f.rdo( f(sigin) )
- for i in range(1, ratio):
- r2 = f.rdo( f(zeros) )
- r2 *= .5
- assert_almost_equal ( r2 - sigin, 0., decimal = precision )
-
- def test_resynth_4_steps(self):
- """ check the resynthesis of is correct with 75% overlap """
- hop_s = 256
- ratio = 4
- sigin = np.random.rand(hop_s).astype(float_type) * 2. - 1.
+ assert_equal ( t, 0.)
+ assert_equal ( s.norm, 0.)
+ try:
+ assert_equal ( s.phas, 0 )
+ except AssertionError:
+ assert_equal (s.phas[s.phas > 0], +np.pi)
+ assert_equal (s.phas[s.phas < 0], -np.pi)
+ assert_equal (np.abs(s.phas[np.abs(s.phas) != np.pi]), 0)
+ skipTest('pvoc(fvec(%d)).phas != +0, ' % win_s \
+ + 'This is expected when using fftw3 on powerpc.')
+ assert_equal ( r, 0.)
+
+ def test_no_overlap(self):
+ win_s, hop_s = 1024, 1024
+ f = pvoc (win_s, hop_s)
+ t = fvec (hop_s)
+ for _ in range(4):
+ s = f(t)
+ r = f.rdo(s)
+ assert_equal ( t, 0.)
+
+ resynth_noise_args = "hop_s, ratio"
+ resynth_noise_values = [
+ ( 256, 8),
+ ( 256, 4),
+ ( 256, 2),
+ ( 512, 8),
+ ( 512, 4),
+ ( 512, 2),
+ #( 129, 2),
+ #( 320, 4),
+ #( 13, 8),
+ (1024, 8),
+ (1024, 4),
+ (1024, 2),
+ (2048, 8),
+ (2048, 4),
+ (2048, 2),
+ (4096, 8),
+ (4096, 4),
+ (4096, 2),
+ (8192, 8),
+ (8192, 4),
+ (8192, 2),
+ ]
+
+ @parametrize(resynth_noise_args, resynth_noise_values)
+ def test_resynth_steps_noise(self, hop_s, ratio):
+ """ check the resynthesis of a random signal is correct """
+ sigin = create_noise(hop_s)
+ self.reconstruction(sigin, hop_s, ratio)
+
+ resynth_sine_args = "samplerate, hop_s, ratio, freq"
+ resynth_sine_values = [
+ (44100, 256, 8, 441),
+ (44100, 256, 4, 1203),
+ (44100, 256, 2, 3045),
+ (44100, 512, 8, 445),
+ (44100, 512, 4, 445),
+ (44100, 512, 2, 445),
+ (44100, 1024, 8, 445),
+ (44100, 1024, 4, 445),
+ (44100, 1024, 2, 445),
+ ( 8000, 1024, 2, 445),
+ (22050, 1024, 2, 445),
+ (22050, 256, 8, 445),
+ (96000, 1024, 8, 47000),
+ (96000, 1024, 8, 20),
+ ]
+
+ @parametrize(resynth_sine_args, resynth_sine_values)
+ def test_resynth_steps_sine(self, samplerate, hop_s, ratio, freq):
+ """ check the resynthesis of a sine is correct """
+ sigin = create_sine(hop_s, freq, samplerate)
+ self.reconstruction(sigin, hop_s, ratio)
+
+ def reconstruction(self, sigin, hop_s, ratio):
buf_s = hop_s * ratio
f = pvoc(buf_s, hop_s)
zeros = fvec(hop_s)
r2 = f.rdo( f(sigin) )
- for i in range(1, ratio):
+ for _ in range(1, ratio):
r2 = f.rdo( f(zeros) )
- assert_almost_equal ( r2 - sigin, 0., decimal = precision )
-
- def plot_this( self, this ):
- from pylab import semilogy, show
- semilogy ( this )
- show ()
+ # compute square errors
+ sq_error = (r2 - sigin)**2
+ # make sure all square errors are less than desired precision
+ assert_array_less(sq_error, max_sq_error)
-if __name__ == '__main__':
- from unittest import main
- main()
+class aubio_pvoc_strange_params(TestCase):
+
+ def test_win_size_short(self):
+ with self.assertRaises(RuntimeError):
+ pvoc(1, 1)
+
+ def test_hop_size_long(self):
+ with self.assertRaises(RuntimeError):
+ pvoc(1024, 1025)
+
+ def test_large_input_timegrain(self):
+ win_s = 1024
+ f = pvoc(win_s)
+ t = fvec(win_s + 1)
+ with self.assertRaises(ValueError):
+ f(t)
+
+ def test_small_input_timegrain(self):
+ win_s = 1024
+ f = pvoc(win_s)
+ t = fvec(1)
+ with self.assertRaises(ValueError):
+ f(t)
+
+ def test_large_input_fftgrain(self):
+ win_s = 1024
+ f = pvoc(win_s)
+ s = cvec(win_s + 5)
+ with self.assertRaises(ValueError):
+ f.rdo(s)
+
+ def test_small_input_fftgrain(self):
+ win_s = 1024
+ f = pvoc(win_s)
+ s = cvec(16)
+ with self.assertRaises(ValueError):
+ f.rdo(s)
+class aubio_pvoc_wrong_params(TestCase):
+
+ def test_wrong_buf_size(self):
+ win_s = -1
+ with self.assertRaises(ValueError):
+ pvoc(win_s)
+
+ def test_buf_size_too_small(self):
+ win_s = 1
+ with self.assertRaises(RuntimeError):
+ pvoc(win_s)
+
+ def test_hop_size_negative(self):
+ win_s = 512
+ hop_s = -2
+ with self.assertRaises(ValueError):
+ pvoc(win_s, hop_s)
+
+ def test_hop_size_too_small(self):
+ win_s = 1
+ hop_s = 1
+ with self.assertRaises(RuntimeError):
+ pvoc(win_s, hop_s)
+
+ def test_buf_size_not_power_of_two(self):
+ win_s = 320
+ hop_s = win_s // 2
+ try:
+ with self.assertRaises(RuntimeError):
+ pvoc(win_s, hop_s)
+ except AssertionError:
+ # when compiled with fftw3, aubio supports non power of two fft sizes
+ self.skipTest('creating aubio.pvoc with size %d did not fail' % win_s)
+
+if __name__ == '__main__':
+ from unittest import main
+ main()