[0536612] | 1 | from numpy.testing import TestCase, run_module_suite |
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| 2 | from numpy.testing import assert_equal, assert_almost_equal |
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| 3 | from _aubio import * |
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| 4 | from numpy import array, shape |
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| 5 | |
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| 6 | class aubio_pvoc_test_case(TestCase): |
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| 7 | |
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| 8 | def test_members(self): |
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| 9 | f = pvoc() |
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| 10 | assert_equal ([f.win_s, f.hop_s], [1024, 512]) |
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| 11 | f = pvoc(2048, 128) |
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| 12 | assert_equal ([f.win_s, f.hop_s], [2048, 128]) |
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| 13 | |
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| 14 | def test_zeros(self): |
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| 15 | win_s, hop_s = 1024, 256 |
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| 16 | f = pvoc (win_s, hop_s) |
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| 17 | t = fvec (hop_s) |
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| 18 | for time in range( 4 * win_s / hop_s ): |
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| 19 | s = f(t) |
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| 20 | r = f.rdo(s) |
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| 21 | assert_equal ( array(t), 0) |
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| 22 | assert_equal ( s.norm, 0) |
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| 23 | assert_equal ( s.phas, 0) |
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| 24 | assert_equal ( r, 0) |
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| 25 | |
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| 26 | def test_steps_two_channels(self): |
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| 27 | """ check the resynthesis of steps is correct """ |
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| 28 | f = pvoc(1024, 512, 2) |
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| 29 | t1 = fvec(512, 2) |
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| 30 | t2 = fvec(512, 2) |
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| 31 | # positive step in first channel |
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| 32 | t1[0][100:200] = .1 |
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| 33 | # positive step in second channel |
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| 34 | t1[1][20:50] = -.1 |
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| 35 | s1 = f(t1) |
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| 36 | r1 = f.rdo(s1) |
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| 37 | s2 = f(t2) |
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| 38 | r2 = f.rdo(s2) |
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| 39 | #self.plot_this ( s1.norm.T ) |
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| 40 | assert_almost_equal ( t1, r2, decimal = 6 ) |
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| 41 | |
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| 42 | def test_steps_three_random_channels(self): |
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| 43 | from random import random |
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| 44 | f = pvoc(64, 16, 3) |
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| 45 | t0 = fvec(16, 3) |
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| 46 | t1 = fvec(16, 3) |
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| 47 | for i in xrange(3): |
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| 48 | for j in xrange(16): |
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| 49 | t1[i][j] = random() * 2. - 1. |
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| 50 | t2 = f.rdo(f(t1)) |
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| 51 | t2 = f.rdo(f(t0)) |
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| 52 | t2 = f.rdo(f(t0)) |
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| 53 | t2 = f.rdo(f(t0)) |
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| 54 | assert_almost_equal( t1, t2, decimal = 6 ) |
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| 55 | |
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| 56 | def plot_this( self, this ): |
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| 57 | from pylab import semilogy, show |
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| 58 | semilogy ( this ) |
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| 59 | show () |
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| 60 | |
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| 61 | if __name__ == '__main__': |
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| 62 | from unittest import main |
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| 63 | main() |
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| 64 | |
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