File size: 1,956 Bytes
c7e47b2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | from __future__ import print_function
import unittest
import numpy as np
import os
from medleydb import MultiTrack
from medleydb.annotate import activation_conf as A
def array_almost_equal(array1, array2, tolerance=1e-7):
diff = np.abs(array1 - array2)
num_not_equal = diff > tolerance
print("number of unequal elements: %s" % np.sum(num_not_equal))
return np.sum(num_not_equal) == 0
class TestComputeActivationConfidence(unittest.TestCase):
def test_defaults(self):
mtrack = MultiTrack('LizNelson_Rainfall')
C, actual_index = A.compute_activation_confidence(mtrack)
actual_shape = C.shape
expected_shape = (6135, 6)
self.assertEqual(expected_shape, actual_shape)
expected_index = [1, 2, 3, 4, 5]
self.assertEqual(expected_index, actual_index)
class TestTrackEnergy(unittest.TestCase):
def test_compute_energy(self):
wave = np.ones((20, ))
win_len = 10
win = np.ones((10, ))
actual = A.track_energy(wave, win_len, win)
expected = np.array([0.5, 1., 1., 1., 0.5])
self.assertTrue(np.allclose(expected, actual))
class TestHwr(unittest.TestCase):
def test_neg_pos(self):
x = np.array([-0.5, 0, 0.5])
expected = np.array([0, 0, 0.5])
actual = A.hwr(x)
def test_pos(self):
x = np.array([7, 0, 0.5])
expected = np.array([7, 0, 0.5])
actual = A.hwr(x)
class TestWriteActivationsToCsv(unittest.TestCase):
def test_default(self):
activations = np.array([
[0.0, 1.0, 1.0, 0.4],
[0.5, 0.9, 0.9, 0.7],
[1.0, 0.8, 0.8, 0.8]
])
mtrack = MultiTrack('Phoenix_ScotchMorris')
stem_idx_list = [1, 2, 3]
A.write_activations_to_csv(mtrack, activations, stem_idx_list)
self.assertTrue(os.path.exists(mtrack.activation_conf_fpath))
os.remove(mtrack.activation_conf_fpath)
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