5 from numpy.testing import TestCase, assert_almost_equal
8 precomputed_arange = [ 9.89949512, -6.44232273, 0., -0.67345482, 0.,
9 -0.20090288, 0., -0.05070186]
11 precomputed_some_ones = [ 4.28539848, 0.2469689, -0.14625292, -0.58121818,
12 -0.83483052, -0.75921834, -0.35168475, 0.24087936,
13 0.78539824, 1.06532764, 0.97632152, 0.57164496, 0.03688532,
14 -0.39446154, -0.54619485, -0.37771079]
16 class aubio_dct(TestCase):
19 """ test that aubio.dct() is created with expected size """
21 self.assertEqual(a_dct.size, 1024)
23 def test_arange(self):
24 """ test that dct(arange(8)) is computed correctly
26 >>> from scipy.fftpack import dct
27 >>> a_in = np.arange(8).astype('float32')
28 >>> precomputed = dct(a_in, norm='ortho')
30 N = len(precomputed_arange)
32 a_in = np.arange(8).astype('float32')
33 a_expected = aubio.fvec(precomputed_arange)
34 assert_almost_equal(a_dct(a_in), a_expected, decimal=6)
36 def test_some_ones(self):
37 """ test that dct(somevector) is computed correctly """
39 a_in = np.ones(16).astype('float32')
42 a_expected = aubio.fvec(precomputed_some_ones)
43 assert_almost_equal(a_dct(a_in), a_expected, decimal=7)
45 def test_reconstruction(self):
46 """ test that some_ones vector can be recontructed """
48 a_in = np.ones(16).astype('float32')
51 a_dct_in = a_dct(a_in)
52 a_dct_reconstructed = a_dct.rdo(a_dct_in)
53 assert_almost_equal(a_dct_reconstructed, a_in, decimal=6)
55 def test_negative_size(self):
56 """ test that creation fails with a negative size """
57 with self.assertRaises(ValueError):
60 def test_wrong_size(self):
61 """ test that creation fails with a non power-of-two size """
62 # supports for non 2** fft sizes only when compiled with fftw3
64 with self.assertRaises(RuntimeError):
66 except AssertionError:
67 self.skipTest('creating aubio.dct with size %d did not fail' % win_s)