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32 lines
1.1 KiB
32 lines
1.1 KiB
from python_speech_features import sigproc
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import unittest
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import numpy as np
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import time
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class test_case(unittest.TestCase):
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def test_frame_sig(self):
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n = 10000124
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frame_len = 37
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frame_step = 13
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x = np.random.rand(n)
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t0 = time.time()
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y_old = sigproc.framesig(x, frame_len=frame_len, frame_step=frame_step, stride_trick=False)
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t1 = time.time()
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y_new = sigproc.framesig(x, frame_len=frame_len, frame_step=frame_step, stride_trick=True)
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t_new = time.time() - t1
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t_old = t1 - t0
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self.assertTupleEqual(y_old.shape, y_new.shape)
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np.testing.assert_array_equal(y_old, y_new)
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self.assertLess(t_new, t_old)
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print('new run time %3.2f < %3.2f sec' % (t_new, t_old))
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def test_rolling(self):
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x = np.arange(10)
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y = sigproc.rolling_window(x, window=4, step=3)
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y_expected = np.array([[0, 1, 2, 3],
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[3, 4, 5, 6],
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[6, 7, 8, 9]]
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)
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y = np.testing.assert_array_equal(y, y_expected)
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