ref: 1f07bdd657ec5113d783d01e5d7a650d8e9412cb
dir: /python/tests/test_filterbank.py/
#! /usr/bin/env python import numpy as np from numpy.testing import TestCase, assert_equal, assert_almost_equal 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 = 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() ) def test_mfcc_coeffs_get_coeffs(self): f = filterbank(40, 512) coeffs = f.get_coeffs() self.assertIsInstance(coeffs, np.ndarray) assert_equal (coeffs, 0) assert_equal (np.shape(coeffs), (40, 512 / 2 + 1)) class aubio_filterbank_wrong_values(TestCase): def test_negative_window(self): self.assertRaises(ValueError, filterbank, 40, -20) def test_negative_filters(self): self.assertRaises(ValueError, 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__': import nose2 nose2.main()