#! /usr/bin/env python
-from numpy.testing import TestCase, run_module_suite
+from numpy.testing import TestCase
from numpy.testing import assert_equal, assert_almost_equal
-from numpy import random
-from math import pi
-from numpy import array
-from aubio import cvec, filterbank
+import numpy as np
+from aubio import cvec, filterbank, float_type
from utils import array_from_text_file
class aubio_filterbank_test_case(TestCase):
- def test_members(self):
- f = filterbank(40, 512)
- assert_equal ([f.n_filters, f.win_s], [40, 512])
-
- def test_set_coeffs(self):
- f = filterbank(40, 512)
- r = random.random([40, int(512 / 2) + 1]).astype('float32')
- f.set_coeffs(r)
- assert_equal (r, f.get_coeffs())
-
- def test_phase(self):
- f = filterbank(40, 512)
- c = cvec(512)
- c.phas[:] = pi
- assert_equal( f(c), 0);
-
- def test_norm(self):
- f = filterbank(40, 512)
- c = cvec(512)
- c.norm[:] = 1
- assert_equal( f(c), 0);
-
- def test_random_norm(self):
- f = filterbank(40, 512)
- c = cvec(512)
- c.norm[:] = random.random((int(512 / 2) + 1,)).astype('float32')
- assert_equal( f(c), 0)
-
- def test_random_coeffs(self):
- f = filterbank(40, 512)
- c = cvec(512)
- r = random.random([40, int(512 / 2) + 1]).astype('float32')
- r /= r.sum()
- f.set_coeffs(r)
- c.norm[:] = random.random((int(512 / 2) + 1,)).astype('float32')
- assert_equal ( f(c) < 1., True )
- assert_equal ( f(c) > 0., True )
-
- def test_mfcc_coeffs(self):
- f = filterbank(40, 512)
- c = cvec(512)
- f.set_mel_coeffs_slaney(44100)
- c.norm[:] = random.random((int(512 / 2) + 1,)).astype('float32')
- assert_equal ( f(c) < 1., True )
- assert_equal ( f(c) > 0., True )
-
- def test_mfcc_coeffs_16000(self):
- expected = array_from_text_file('filterbank_mfcc_16000_512.expected')
- f = filterbank(40, 512)
- f.set_mel_coeffs_slaney(16000)
- assert_almost_equal ( expected, f.get_coeffs() )
+ def test_members(self):
+ f = filterbank(40, 512)
+ assert_equal ([f.n_filters, f.win_s], [40, 512])
+
+ def test_set_coeffs(self):
+ f = filterbank(40, 512)
+ r = np.random.random([40, int(512 / 2) + 1]).astype(float_type)
+ f.set_coeffs(r)
+ assert_equal (r, f.get_coeffs())
+
+ def test_phase(self):
+ f = filterbank(40, 512)
+ c = cvec(512)
+ c.phas[:] = np.pi
+ assert_equal( f(c), 0);
+
+ def test_norm(self):
+ f = filterbank(40, 512)
+ c = cvec(512)
+ c.norm[:] = 1
+ assert_equal( f(c), 0);
+
+ def test_random_norm(self):
+ f = filterbank(40, 512)
+ c = cvec(512)
+ c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type)
+ assert_equal( f(c), 0)
+
+ def test_random_coeffs(self):
+ win_s = 128
+ f = filterbank(40, win_s)
+ c = cvec(win_s)
+ r = np.random.random([40, int(win_s / 2) + 1]).astype(float_type)
+ r /= r.sum()
+ f.set_coeffs(r)
+ c.norm[:] = np.random.random((int(win_s / 2) + 1,)).astype(float_type)
+ assert_equal ( f(c) < 1., True )
+ assert_equal ( f(c) > 0., True )
+
+ def test_mfcc_coeffs(self):
+ f = filterbank(40, 512)
+ c = cvec(512)
+ f.set_mel_coeffs_slaney(44100)
+ c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type)
+ assert_equal ( f(c) < 1., True )
+ assert_equal ( f(c) > 0., True )
+
+ def test_mfcc_coeffs_16000(self):
+ expected = array_from_text_file('filterbank_mfcc_16000_512.expected')
+ f = filterbank(40, 512)
+ f.set_mel_coeffs_slaney(16000)
+ assert_almost_equal ( expected, f.get_coeffs() )
+
+class aubio_filterbank_wrong_values(TestCase):
+
+ def test_negative_window(self):
+ self.assertRaises(ValueError, filterbank, 40, -20)
+
+ def test_negative_filters(self):
+ self.assertRaises(RuntimeError, filterbank, -40, 1024)
+
+ def test_filterbank_long_cvec(self):
+ f = filterbank(40, 512)
+ with self.assertRaises(ValueError):
+ f(cvec(1024))
+
+ def test_filterbank_short_cvec(self):
+ f = filterbank(40, 512)
+ with self.assertRaises(ValueError):
+ f(cvec(256))
if __name__ == '__main__':
- from unittest import main
- main()
+ from nose2 import main
+ main()