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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