Updated test to use nose

1 files changed, 3 insertions, 29 deletions

diff --git a/tests/lp.py b/tests/lp.py
index c6051dd..8d80ba2 100644
--- a/tests/lp.py
+++ b/tests/lp.py
@@ -14,41 +14,15 @@
 # along with this program; if not, write to the Free Software
 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 
-import simpl
 from simpl import lp
 import numpy as np
-import matplotlib.pyplot as plt
-import unittest
 
-audio, sampling_rate = simpl.read_wav("audio/flute.wav")
-
-# take just the first few frames
-audio = audio_in[0:4096]
-# Peak detection and partial tracking using SMS
-pd = simpl.SndObjPeakDetection()
-pd.max_peaks = 60
-peaks = pd.find_peaks(audio)
-pt = simpl.MQPartialTracking()
-pt.max_partials = 60
-partials = pt.find_partials(peaks)
-simpl.plot.plot_partials(partials)
-plt.show()
-
-exit()
-
-
-class TestLP(unittest.TestCase):
-    FLOAT_PRECISION = 3 # number of decimal places to check for accuracy
+class TestLP(object):
 
     def test_predict(self):
         """test_predict"""
         coefs = np.array([1,2,3,4,5])
         test_signal = np.ones(5)
         predictions = lp.predict(test_signal, coefs, 2)
-        self.assertEquals(predictions[0], -sum(coefs))
-        self.assertEquals(predictions[1], -sum(coefs[1:])-predictions[0])
-    
-suite = unittest.TestSuite()
-suite.addTest(TestLP('test_predict'))
-unittest.TextTestRunner().run(suite)
-
+        assert predictions[0] == -sum(coefs)
+        assert predictions[1] == -sum(coefs[1:])-predictions[0]