[2bf59042] | 1 | #! /usr/bin/env python |
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| 2 | |
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| 3 | |
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| 4 | import numpy as np |
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| 5 | from numpy.testing import TestCase, assert_almost_equal |
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| 6 | import aubio |
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| 7 | |
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[e7556a1] | 8 | precomputed_arange = [ 9.89949512, -6.44232273, 0., -0.67345482, 0., |
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| 9 | -0.20090288, 0., -0.05070186] |
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| 10 | |
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| 11 | precomputed_some_ones = [ 4.28539848, 0.2469689, -0.14625292, -0.58121818, |
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| 12 | -0.83483052, -0.75921834, -0.35168475, 0.24087936, |
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| 13 | 0.78539824, 1.06532764, 0.97632152, 0.57164496, 0.03688532, |
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| 14 | -0.39446154, -0.54619485, -0.37771079] |
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| 15 | |
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[2bf59042] | 16 | class aubio_dct(TestCase): |
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| 17 | |
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| 18 | def test_init(self): |
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[e7556a1] | 19 | """ test that aubio.dct() is created with expected size """ |
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[2bf59042] | 20 | a_dct = aubio.dct() |
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| 21 | self.assertEqual(a_dct.size, 1024) |
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| 22 | |
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| 23 | def test_arange(self): |
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| 24 | """ test that dct(arange(8)) is computed correctly |
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| 25 | |
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| 26 | >>> from scipy.fftpack import dct |
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[95e3cba] | 27 | >>> a_in = np.arange(8).astype(aubio.float_type) |
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[2bf59042] | 28 | >>> precomputed = dct(a_in, norm='ortho') |
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| 29 | """ |
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[e7556a1] | 30 | N = len(precomputed_arange) |
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[2bf59042] | 31 | a_dct = aubio.dct(8) |
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[95e3cba] | 32 | a_in = np.arange(8).astype(aubio.float_type) |
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[e7556a1] | 33 | a_expected = aubio.fvec(precomputed_arange) |
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[2bf59042] | 34 | assert_almost_equal(a_dct(a_in), a_expected, decimal=6) |
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| 35 | |
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| 36 | def test_some_ones(self): |
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| 37 | """ test that dct(somevector) is computed correctly """ |
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| 38 | a_dct = aubio.dct(16) |
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[95e3cba] | 39 | a_in = np.ones(16).astype(aubio.float_type) |
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[2bf59042] | 40 | a_in[1] = 0 |
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| 41 | a_in[3] = np.pi |
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[e7556a1] | 42 | a_expected = aubio.fvec(precomputed_some_ones) |
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[b99e2a5] | 43 | assert_almost_equal(a_dct(a_in), a_expected, decimal=6) |
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[2bf59042] | 44 | |
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| 45 | def test_reconstruction(self): |
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[e7556a1] | 46 | """ test that some_ones vector can be recontructed """ |
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[2bf59042] | 47 | a_dct = aubio.dct(16) |
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[95e3cba] | 48 | a_in = np.ones(16).astype(aubio.float_type) |
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[2bf59042] | 49 | a_in[1] = 0 |
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| 50 | a_in[3] = np.pi |
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| 51 | a_dct_in = a_dct(a_in) |
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| 52 | a_dct_reconstructed = a_dct.rdo(a_dct_in) |
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| 53 | assert_almost_equal(a_dct_reconstructed, a_in, decimal=6) |
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| 54 | |
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| 55 | def test_negative_size(self): |
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[e7556a1] | 56 | """ test that creation fails with a negative size """ |
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[2bf59042] | 57 | with self.assertRaises(ValueError): |
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| 58 | aubio.dct(-1) |
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| 59 | |
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| 60 | def test_wrong_size(self): |
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[e7556a1] | 61 | """ test that creation fails with a non power-of-two size """ |
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[2bf59042] | 62 | # supports for non 2** fft sizes only when compiled with fftw3 |
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[b99e2a5] | 63 | size = 13 |
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[2bf59042] | 64 | try: |
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| 65 | with self.assertRaises(RuntimeError): |
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[b99e2a5] | 66 | aubio.dct(size) |
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[2bf59042] | 67 | except AssertionError: |
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[b99e2a5] | 68 | self.skipTest('creating aubio.dct with size %d did not fail' % size) |
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