Merge branch 'master' into feature/pytest

[aubio.git] / python / tests / test_filterbank_mel.py

diff --git a/python/tests/test_filterbank_mel.py b/python/tests/test_filterbank_mel.py
index 79f28d6..0771264 100755 (executable)
--- a/python/tests/test_filterbank_mel.py
+++ b/python/tests/test_filterbank_mel.py
@@ -4,7 +4,7 @@ import numpy as np
 from numpy.testing import TestCase, assert_equal, assert_almost_equal
 from _tools import assert_warns
 
-from aubio import cvec, filterbank, float_type
+from aubio import fvec, cvec, filterbank, float_type
 
 class aubio_filterbank_mel_test_case(TestCase):
 
@@ -29,8 +29,7 @@ class aubio_filterbank_mel_test_case(TestCase):
         f = filterbank(9, 1024)
         freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
         freqs = np.array(freq_list, dtype = float_type)
-        with assert_warns(UserWarning):
-            f.set_triangle_bands(freqs, 48000)
+        f.set_triangle_bands(freqs, 48000)
         assert_equal ( f(cvec(1024)), 0)
         self.assertIsInstance(f.get_coeffs(), np.ndarray)
 
@@ -38,8 +37,7 @@ class aubio_filterbank_mel_test_case(TestCase):
         f = filterbank(9, 1024)
         freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
         freqs = np.array(freq_list, dtype = float_type)
-        with assert_warns(UserWarning):
-            f.set_triangle_bands(freqs, 48000)
+        f.set_triangle_bands(freqs, 48000)
         self.assertIsInstance(f.get_coeffs(), np.ndarray)
         spec = cvec(1024)
         spec.norm[:] = 1
@@ -47,36 +45,126 @@ class aubio_filterbank_mel_test_case(TestCase):
                 [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
                     0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
 
-    def test_triangle_freqs_normal(self):
-        """ create a filter with set_triangle_bands, normal mode """
-        f = filterbank(3, 1024)
-        freq_list = [100, 1000, 10000, 15000, 20000]
+    def test_triangle_freqs_with_zeros(self):
+        """make sure set_triangle_bands works when list starts with 0"""
+        freq_list = [0, 40, 80]
         freqs = np.array(freq_list, dtype = float_type)
-        f.set_triangle_bands(freqs, 44100)
+        f = filterbank(len(freqs)-2, 1024)
+        f.set_triangle_bands(freqs, 48000)
+        assert_equal ( f(cvec(1024)), 0)
+        self.assertIsInstance(f.get_coeffs(), np.ndarray)
 
-    def test_triangle_freqs_too_long(self):
-        """ create a filter with freq_list too long """
-        f = filterbank(2, 1024)
-        freq_list = [100, 1000, 10000, 15000, 20000]
-        freqs = np.array(freq_list, dtype = float_type)
+    def test_triangle_freqs_with_wrong_negative(self):
+        """make sure set_triangle_bands fails when list contains a negative"""
+        freq_list = [-10, 0, 80]
+        f = filterbank(len(freq_list)-2, 1024)
+        with self.assertRaises(ValueError):
+            f.set_triangle_bands(fvec(freq_list), 48000)
+
+    def test_triangle_freqs_with_wrong_ordering(self):
+        """make sure set_triangle_bands fails when list not ordered"""
+        freq_list = [0, 80, 40]
+        f = filterbank(len(freq_list)-2, 1024)
+        with self.assertRaises(ValueError):
+            f.set_triangle_bands(fvec(freq_list), 48000)
+
+    def test_triangle_freqs_with_large_freq(self):
+        """make sure set_triangle_bands warns when freq > nyquist"""
+        samplerate = 22050
+        freq_list = [0, samplerate//4, samplerate // 2 + 1]
+        f = filterbank(len(freq_list)-2, 1024)
         with assert_warns(UserWarning):
-            f.set_triangle_bands(freqs, 44100)
+            f.set_triangle_bands(fvec(freq_list), samplerate)
 
-    def test_triangle_freqs_too_short(self):
-        """ create a filter with freq_list too short """
-        f = filterbank(4, 1024)
-        freq_list = [100, 1000, 10000, 15000, 20000]
-        freqs = np.array(freq_list, dtype = float_type)
+    def test_triangle_freqs_with_not_enough_filters(self):
+        """make sure set_triangle_bands warns when not enough filters"""
+        samplerate = 22050
+        freq_list = [0, 100, 1000, 4000, 8000, 10000]
+        f = filterbank(len(freq_list)-3, 1024)
         with assert_warns(UserWarning):
-            f.set_triangle_bands(freqs, 44100)
+            f.set_triangle_bands(fvec(freq_list), samplerate)
 
-    def test_above_nyquist(self):
-        """ create a filter with freq_list too short """
-        f = filterbank(3, 1024)
-        freq_list = [100, 1000, 10000, 15000, 23000]
-        freqs = np.array(freq_list, dtype = float_type)
+    def test_triangle_freqs_with_too_many_filters(self):
+        """make sure set_triangle_bands warns when too many filters"""
+        samplerate = 22050
+        freq_list = [0, 100, 1000, 4000, 8000, 10000]
+        f = filterbank(len(freq_list)-1, 1024)
+        with assert_warns(UserWarning):
+            f.set_triangle_bands(fvec(freq_list), samplerate)
+
+    def test_triangle_freqs_with_double_value(self):
+        """make sure set_triangle_bands works with 2 duplicate freqs"""
+        samplerate = 22050
+        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
+        f = filterbank(len(freq_list)-2, 1024)
+        with assert_warns(UserWarning):
+            f.set_triangle_bands(fvec(freq_list), samplerate)
+
+    def test_triangle_freqs_with_triple(self):
+        """make sure set_triangle_bands works with 3 duplicate freqs"""
+        samplerate = 22050
+        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
+        f = filterbank(len(freq_list)-2, 1024)
         with assert_warns(UserWarning):
-            f.set_triangle_bands(freqs, 44100)
+            f.set_triangle_bands(fvec(freq_list), samplerate)
+
+
+    def test_triangle_freqs_without_norm(self):
+        """make sure set_triangle_bands works without """
+        samplerate = 22050
+        freq_list = fvec([0, 100, 1000, 10000])
+        f = filterbank(len(freq_list) - 2, 1024)
+        f.set_norm(0)
+        f.set_triangle_bands(freq_list, samplerate)
+        expected = f.get_coeffs()
+        f.set_norm(1)
+        f.set_triangle_bands(fvec(freq_list), samplerate)
+        assert_almost_equal(f.get_coeffs().T,
+                expected.T * 2. / (freq_list[2:] - freq_list[:-2]))
+
+    def test_triangle_freqs_wrong_norm(self):
+        f = filterbank(10, 1024)
+        with self.assertRaises(ValueError):
+            f.set_norm(-1)
+
+    def test_triangle_freqs_with_power(self):
+        f = filterbank(9, 1024)
+        freqs = fvec([40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000,
+            24000])
+        f.set_power(2)
+        f.set_triangle_bands(freqs, 48000)
+        spec = cvec(1024)
+        spec.norm[:] = .1
+        expected = fvec([0.02070313, 0.02138672, 0.02127604, 0.02135417,
+            0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
+        expected /= 100.
+        assert_almost_equal(f(spec), expected)
+
+    def test_mel_coeffs(self):
+        f = filterbank(40, 1024)
+        f.set_mel_coeffs(44100, 0, 44100 / 2)
+
+    def test_zero_fmax(self):
+        f = filterbank(40, 1024)
+        f.set_mel_coeffs(44100, 0, 0)
+
+    def test_wrong_mel_coeffs(self):
+        f = filterbank(40, 1024)
+        with self.assertRaises(ValueError):
+            f.set_mel_coeffs_slaney(0)
+        with self.assertRaises(ValueError):
+            f.set_mel_coeffs(44100, 0, -44100 / 2)
+        with self.assertRaises(ValueError):
+            f.set_mel_coeffs(44100, -0.1, 44100 / 2)
+        with self.assertRaises(ValueError):
+            f.set_mel_coeffs(-44100, 0.1, 44100 / 2)
+        with self.assertRaises(ValueError):
+            f.set_mel_coeffs_htk(-1, 0, 0)
+
+    def test_mel_coeffs_htk(self):
+        f = filterbank(40, 1024)
+        f.set_mel_coeffs_htk(44100, 0, 44100 / 2)
+
 
 if __name__ == '__main__':
     from unittest import main