ref: fcef3fd331e30e57971e15bc90874c05688da9fb
dir: /python/tests/test_phasevoc.py/
#! /usr/bin/env python
from numpy.testing import TestCase, assert_equal, assert_array_less
from aubio import fvec, cvec, pvoc, float_type
from nose2.tools import params
import numpy as np
if float_type == 'float32':
max_sq_error = 1.e-12
else:
max_sq_error = 1.e-29
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 aubio_pvoc_test_case(TestCase):
""" pvoc object test case """
def test_members_automatic_sizes_default(self):
""" check object creation with default parameters """
f = pvoc()
assert_equal ([f.win_s, f.hop_s], [1024, 512])
def test_members_unnamed_params(self):
""" check object creation with unnamed parameters """
f = pvoc(2048, 128)
assert_equal ([f.win_s, f.hop_s], [2048, 128])
def test_members_named_params(self):
""" check object creation with named parameters """
f = pvoc(hop_s = 128, win_s = 2048)
assert_equal ([f.win_s, f.hop_s], [2048, 128])
def test_zeros(self):
""" check the resynthesis of zeros gives zeros """
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 ) ):
s = f(t)
r = f.rdo(s)
assert_equal ( t, 0.)
assert_equal ( s.norm, 0.)
assert_equal ( s.phas, 0.)
assert_equal ( r, 0.)
@params(
( 256, 8),
( 256, 4),
( 256, 2),
( 512, 8),
( 512, 4),
( 512, 2),
(1024, 8),
(1024, 4),
(1024, 2),
(2048, 8),
(2048, 4),
(2048, 2),
(4096, 8),
(4096, 4),
(4096, 2),
(8192, 8),
(8192, 4),
(8192, 2),
)
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)
@params(
(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),
)
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):
r2 = f.rdo( f(zeros) )
# 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)
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)
if __name__ == '__main__':
from nose2 import main
main()