Changeset 467122d for python

Timestamp:

Feb 22, 2014, 7:37:16 PM (11 years ago)

Author:

Paul Brossier <piem@piem.org>

Branches:

feature/autosink, feature/cnn, feature/cnn_org, feature/constantq, feature/crepe, feature/crepe_org, feature/pitchshift, feature/pydocstrings, feature/timestretch, fix/ffmpeg5, master, pitchshift, sampler, timestretch, yinfft+

Children:

4c0a1db

Parents:

8eff66d

Message:

python/tests/test_phasevoc.py: improve

File:

• python/tests/test_phasevoc.py (modified) (1 diff)

python/tests/test_phasevoc.py

@@ -1 +1 @@
 #! /usr/bin/env python
 
-from numpy.testing import TestCase, run_module_suite
-from numpy.testing import assert_equal, assert_almost_equal
+from numpy.testing import TestCase, assert_equal, assert_almost_equal
 from aubio import fvec, cvec, pvoc
 from numpy import array, shape
+from numpy.random import random
+
+precision = 6
 
 class aubio_pvoc_test_case(TestCase):
+    """ pvoc object test case """
 
-  def test_members_automatic_sizes_default(self):
-    f = pvoc()
-    assert_equal ([f.win_s, f.hop_s], [1024, 512])
+    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_automatic_sizes_not_null(self):
-    f = pvoc(2048, 128)
-    assert_equal ([f.win_s, f.hop_s], [2048, 128])
+    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_zeros(self):
-    win_s, hop_s = 1024, 256
-    f = pvoc (win_s, hop_s)
-    t = fvec (hop_s)
-    for time in range( 4 * win_s / hop_s ):
-      s = f(t)
-      r = f.rdo(s)
-      assert_equal ( array(t), 0)
-      assert_equal ( s.norm, 0)
-      assert_equal ( s.phas, 0)
-      assert_equal ( r, 0)
+    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_steps_two_channels(self):
-    """ check the resynthesis of steps is correct """
-    f = pvoc(1024, 512)
-    t1 = fvec(512)
-    t2 = fvec(512)
-    # positive step in first channel
-    t1[100:200] = .1
-    # positive step in second channel
-    t1[20:50] = -.1
-    s1 = f(t1)
-    r1 = f.rdo(s1)
-    s2 = f(t2)
-    r2 = f.rdo(s2)
-    #self.plot_this ( s1.norm.T )
-    assert_almost_equal ( t1, r2, decimal = 6 )
+    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( 4 * win_s / hop_s ):
+            s = f(t)
+            r = f.rdo(s)
+            assert_equal ( array(t), 0)
+            assert_equal ( s.norm, 0)
+            assert_equal ( s.phas, 0)
+            assert_equal ( r, 0)
+
+    def test_resynth_two_steps(self):
+        """ check the resynthesis of steps is correct with 50% overlap """
+        hop_s = 512
+        buf_s = hop_s * 2
+        f = pvoc(buf_s, hop_s)
+        sigin = fvec(hop_s)
+        zeros = fvec(hop_s)
+        # negative step
+        sigin[20:50] = -.1
+        # positive step
+        sigin[100:200] = .1
+        s1 = f(sigin)
+        r1 = f.rdo(s1)
+        s2 = f(zeros)
+        r2 = f.rdo(s2)
+        #self.plot_this ( s2.norm.T )
+        assert_almost_equal ( r2, sigin, decimal = precision )
     
-  def test_steps_three_random_channels(self):
-    from random import random
-    f = pvoc(64, 16)
-    t0 = fvec(16)
-    t1 = fvec(16)
-    for i in xrange(16):
-        t1[i] = random() * 2. - 1.
-    t2 = f.rdo(f(t1))
-    t2 = f.rdo(f(t0))
-    t2 = f.rdo(f(t0))
-    t2 = f.rdo(f(t0))
-    assert_almost_equal( t1, t2, decimal = 6 )
+    def test_resynth_three_steps(self):
+        """ check the resynthesis of steps is correct with 25% overlap """
+        hop_s = 16
+        buf_s = hop_s * 4
+        sigin = fvec(hop_s)
+        zeros = fvec(hop_s)
+        f = pvoc(buf_s, hop_s)
+        for i in xrange(hop_s):
+            sigin[i] = random() * 2. - 1.
+        t2 = f.rdo( f(sigin) )
+        t2 = f.rdo( f(zeros) )
+        t2 = f.rdo( f(zeros) )
+        t2 = f.rdo( f(zeros) )
+        assert_almost_equal( sigin, t2, decimal = precision )
     
-  def plot_this( self, this ):
-    from pylab import semilogy, show
-    semilogy ( this )
-    show ()
+    def plot_this( self, this ):
+        from pylab import semilogy, show
+        semilogy ( this )
+        show ()
 
 if __name__ == '__main__':