Update test file names

1 files changed, 0 insertions, 389 deletions

diff --git a/tests/sndobj.py b/tests/sndobj.py
deleted file mode 100644
index 527a9d7..0000000
--- a/tests/sndobj.py
+++ /dev/null
@@ -1,389 +0,0 @@
-# Copyright (c) 2009 John Glover, National University of Ireland, Maynooth
-# 
-# This program is free software; you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation; either version 2 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of 
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program; if not, write to the Free Software
-# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
-
-import unittest
-import sndobj
-import simpl
-from simpl import pysndobj
-from scipy.io.wavfile import read
-import numpy as np
-
-FLOAT_PRECISION = 2 # number of decimal places to check for accuracy
-
-class TestSimplSndObj(unittest.TestCase):
-    def setUp(self):
-        self.input_file = 'audio/flute.wav'
-        
-    def test_sndobj_numpy(self):
-        "Test reading and writing numpy data in SndObjs"
-        frame_size = 2048
-        hop_size = 2048
-        num_frames = 4
-        num_samples = frame_size + (num_frames * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        frame_out = simpl.zeros(hop_size)
-        audio_out = simpl.array([])
-        
-        input = pysndobj.SndObj()
-        input.SetVectorSize(frame_size)
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            input.PushIn(frame)
-            input.PopOut(frame_out)
-            audio_out = np.hstack((audio_out, frame_out))
-            i += hop_size
-        
-        self.assertEqual(audio_in.size, audio_out.size)
-        for i in range(audio_out.size):
-            self.assertEqual(audio_in[i], audio_out[i])
-        
-    def test_hammingtable(self):
-        "Compare sndobj.HammingTable with simplsndobj.HammingTable"
-        frame_size = 2048
-        window1 = sndobj.HammingTable(frame_size, 0.5)
-        window2 = pysndobj.HammingTable(frame_size, 0.5)
-        for i in range(frame_size):
-            self.assertEqual(window1.Lookup(i), window2.Lookup(i))
-            
-    def test_ifgram(self):
-        "Compare sndobj.IFGram with simplsndobj.IFGram"
-        frame_size = 2048
-        hop_size = 512
-        num_frames = 4
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        
-        sndobj_input = sndobj.SndObj()
-        simpl_input = pysndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        simpl_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        simpl_window = pysndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            simpl_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            simpl_ifgram.DoProcess()
-            for j in range(frame_size):
-                self.assertAlmostEquals(sndobj_ifgram.Output(j), simpl_ifgram.Output(j),
-                                        places = FLOAT_PRECISION)
-            i += hop_size
-    
-    def test_sinanal(self):
-        "Compare sndobj.SinAnal with simplsndobj.SinAnal"
-        frame_size = 2048
-        hop_size = 512
-        max_tracks = 20
-        num_frames = 4
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        
-        sndobj_input = sndobj.SndObj()
-        simpl_input = pysndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        simpl_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        simpl_window = pysndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
-        sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            simpl_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            simpl_ifgram.DoProcess()
-            sndobj_sinmod.DoProcess()
-            simpl_sinmod.DoProcess()
-            for j in range(max_tracks * 3):
-                self.assertAlmostEquals(sndobj_sinmod.Output(j), simpl_sinmod.Output(j),
-                                        places = FLOAT_PRECISION)
-            i += hop_size
-        
-    def test_adsyn_doprocess(self):
-        "Compare sndobj.AdSyn with simplsndobj.AdSyn"
-        frame_size = 2048
-        hop_size = 512
-        max_tracks = 20
-        num_frames = 4
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        sndobj_frame_out = simpl.zeros(hop_size)
-        simpl_frame_out = simpl.zeros(hop_size)
-        sndobj_audio_out = simpl.array([])
-        simpl_audio_out = simpl.array([])
-        
-        sndobj_input = sndobj.SndObj()
-        simpl_input = pysndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        simpl_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        simpl_window = pysndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
-        sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
-        sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
-        simpl_table = pysndobj.HarmTable(10000, 1, 1, 0.25)
-        sndobj_synth = sndobj.AdSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, 1, hop_size)
-        simpl_synth = pysndobj.AdSyn(simpl_sinmod, max_tracks, simpl_table, 1, 1, hop_size)
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            simpl_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            simpl_ifgram.DoProcess()
-            sndobj_sinmod.DoProcess()
-            simpl_sinmod.DoProcess()
-            sndobj_synth.DoProcess()
-            simpl_synth.DoProcess()
-            sndobj_synth.PopOut(sndobj_frame_out)
-            simpl_synth.PopOut(simpl_frame_out)
-            sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
-            simpl_audio_out = np.hstack((simpl_audio_out, simpl_frame_out))
-            i += hop_size
-            
-        self.assertEqual(sndobj_audio_out.size, simpl_audio_out.size)
-        for i in range(sndobj_audio_out.size):
-            self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
-                                    places = FLOAT_PRECISION)
-    
-    def test_sinsyn_doprocess(self):
-        "Compare sndobj.SinSyn with pysndobj.SinSyn"
-        frame_size = 2048
-        hop_size = 512
-        max_tracks = 20
-        num_frames = 4
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        sndobj_frame_out = simpl.zeros(hop_size)
-        simpl_frame_out = simpl.zeros(hop_size)
-        sndobj_audio_out = simpl.array([])
-        simpl_audio_out = simpl.array([])
-        
-        sndobj_input = sndobj.SndObj()
-        simpl_input = pysndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        simpl_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        simpl_window = pysndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        simpl_ifgram = pysndobj.IFGram(simpl_window, simpl_input, 1, frame_size, hop_size)
-        sndobj_sinmod = sndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        simpl_sinmod = pysndobj.SinAnal(simpl_ifgram, 0.003, max_tracks, 1, 3)
-        sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
-        simpl_table = pysndobj.HarmTable(10000, 1, 1, 0.25)
-        sndobj_synth = sndobj.SinSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, hop_size)
-        simpl_synth = pysndobj.SinSyn(simpl_sinmod, max_tracks, simpl_table, 1, hop_size)
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            simpl_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            simpl_ifgram.DoProcess()
-            sndobj_sinmod.DoProcess()
-            simpl_sinmod.DoProcess()
-            sndobj_synth.DoProcess()
-            simpl_synth.DoProcess()
-            sndobj_synth.PopOut(sndobj_frame_out)
-            simpl_synth.PopOut(simpl_frame_out)
-            sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
-            simpl_audio_out = np.hstack((simpl_audio_out, simpl_frame_out))
-            i += hop_size
-            
-        self.assertEqual(sndobj_audio_out.size, simpl_audio_out.size)
-        for i in range(sndobj_audio_out.size):
-            self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
-                                    places = FLOAT_PRECISION)
-            
-    def test_peak_detection(self): 
-        "Compare pysndobj Peaks with SndObj peaks"
-        frame_size = 2048
-        hop_size = 512
-        num_frames = 4
-        max_peaks = 20
-        max_tracks = 20
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        
-        sndobj_input = sndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        simpl_sinmod = pysndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        
-        pd = simpl.SndObjPeakDetection()
-        pd.max_peaks = max_peaks
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            num_peaks_found = simpl_sinmod.FindPeaks()
-            
-            frame = audio_in[i:i+frame_size]
-            peaks = pd.find_peaks(frame)
-            self.assertEquals(len(peaks), 1)
-            peaks = peaks[0]
-            
-            self.assertEquals(num_peaks_found, len(peaks))
-            for j in range(num_peaks_found):
-                self.assertAlmostEquals(peaks[j].amplitude, simpl_sinmod.Output(j*3),
-                                        places=FLOAT_PRECISION)
-                self.assertAlmostEquals(peaks[j].frequency, simpl_sinmod.Output((j*3)+1),
-                                        places=FLOAT_PRECISION)
-                self.assertAlmostEquals(peaks[j].phase, simpl_sinmod.Output((j*3)+2),
-                                        places=FLOAT_PRECISION)
-            i += hop_size
-        
-    def test_partial_tracking(self):
-        "Compare pysndobj Partials with SndObj tracks"
-        frame_size = 2048
-        hop_size = 512
-        num_frames = 4
-        max_tracks = 20
-        max_peaks = 20
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        
-        sndobj_input = sndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        sndobj_sinmod = pysndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        
-        pd = simpl.SndObjPeakDetection()
-        pd.max_peaks = max_peaks
-        pt = simpl.SndObjPartialTracking()
-        pt.max_partials = max_tracks
-        
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            sndobj_sinmod.DoProcess()
-            
-            frame = audio_in[i:i+frame_size]
-            peaks = pd.find_peaks(frame)[0]
-            partials = pt.update_partials(peaks, i/hop_size)
-            
-            num_sndobj_partials = sndobj_sinmod.GetTracks()
-            num_simpl_partials = len(partials)
-            self.assertEquals(num_sndobj_partials, num_simpl_partials)
-            
-            for j in range(num_simpl_partials):
-                self.assertAlmostEquals(partials[j].amplitude, sndobj_sinmod.Output(j*3),
-                                        places=FLOAT_PRECISION)
-                self.assertAlmostEquals(partials[j].frequency, sndobj_sinmod.Output((j*3)+1), 
-                                        places=FLOAT_PRECISION)
-                self.assertAlmostEquals(partials[j].phase, sndobj_sinmod.Output((j*3)+2),
-                                        places=FLOAT_PRECISION)
-            i += hop_size
-            
-    def test_synthesis(self):
-        "Compare pysndobj synthesised audio with SndObj synthesised audio"
-        frame_size = 2048
-        hop_size = 512
-        num_frames = 4
-        max_tracks = 20
-        max_peaks = 20
-        num_samples = frame_size + ((num_frames - 1) * hop_size)
-        
-        audio_in_data = read(self.input_file)
-        audio_in = simpl.asarray(audio_in_data[1]) / 32768.0
-        audio_in = audio_in[0:num_samples]
-        frame = simpl.zeros(frame_size)
-        sndobj_frame_out = simpl.zeros(hop_size)
-        sndobj_audio_out = simpl.array([])
-        
-        sndobj_input = sndobj.SndObj()
-        sndobj_input.SetVectorSize(frame_size)
-        sndobj_window = sndobj.HammingTable(frame_size, 0.5)
-        sndobj_ifgram = sndobj.IFGram(sndobj_window, sndobj_input, 1, frame_size, hop_size)
-        sndobj_sinmod = pysndobj.SinAnal(sndobj_ifgram, 0.003, max_tracks, 1, 3)
-        sndobj_table = sndobj.HarmTable(10000, 1, 1, 0.25)
-        sndobj_synth = sndobj.AdSyn(sndobj_sinmod, max_tracks, sndobj_table, 1, 1, hop_size)
-               
-        i = 0
-        while (i + frame_size) <= num_samples:
-            frame = audio_in[i:i+frame_size]
-            sndobj_input.PushIn(frame)
-            sndobj_ifgram.DoProcess()
-            sndobj_sinmod.DoProcess()
-            sndobj_synth.DoProcess()
-            sndobj_synth.PopOut(sndobj_frame_out)
-            sndobj_audio_out = np.hstack((sndobj_audio_out, sndobj_frame_out))
-            i += hop_size
-            
-        pd = simpl.SndObjPeakDetection()
-        pd.max_peaks = max_peaks
-        pt = simpl.SndObjPartialTracking()
-        pt.max_partials = max_tracks
-        peaks = pd.find_peaks(audio_in)
-        partials = pt.find_partials(peaks)
-        synth = simpl.SndObjSynthesis()
-        simpl_audio_out = synth.synth(partials)
-        self.assertEquals(sndobj_audio_out.size, simpl_audio_out.size)
-        for i in range(simpl_audio_out.size):
-            self.assertAlmostEquals(sndobj_audio_out[i], simpl_audio_out[i],
-                                    places = FLOAT_PRECISION)
-
-if __name__ == '__main__':
-    unittest.main()