[75e715f] | 1 | #! /usr/bin/env python |
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[1ebf8770] | 2 | |
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[0b6d23d] | 3 | from unittest import main |
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[88554b9] | 4 | import numpy as np |
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| 5 | from numpy.testing import TestCase, assert_equal, assert_almost_equal |
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[4c01c0f] | 6 | from aubio import fvec, zero_crossing_rate, alpha_norm, min_removal |
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[c4b2183] | 7 | from aubio import float_type |
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[b7f3aaf] | 8 | |
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[c4b2183] | 9 | wrong_type = 'float32' if float_type == 'float64' else 'float64' |
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| 10 | |
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[973206a] | 11 | default_size = 512 |
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| 12 | |
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[b7f3aaf] | 13 | class aubio_fvec_test_case(TestCase): |
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| 14 | |
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| 15 | def test_vector_created_with_zeroes(self): |
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[1a6ef2c] | 16 | a = fvec(10) |
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[c4b2183] | 17 | assert a.dtype == float_type |
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[973206a] | 18 | assert a.shape == (10,) |
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[88554b9] | 19 | assert_equal(a, 0) |
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[b7f3aaf] | 20 | |
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[493e6f7] | 21 | def test_vector_create_with_list(self): |
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[88554b9] | 22 | a = fvec([0, 1, 2, 3]) |
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[c4b2183] | 23 | assert a.dtype == float_type |
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[973206a] | 24 | assert a.shape == (4,) |
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[88554b9] | 25 | assert_equal(list(range(4)), a) |
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[493e6f7] | 26 | |
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[b7f3aaf] | 27 | def test_vector_assign_element(self): |
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[973206a] | 28 | a = fvec(default_size) |
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[b7f3aaf] | 29 | a[0] = 1 |
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| 30 | assert_equal(a[0], 1) |
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| 31 | |
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| 32 | def test_vector_assign_element_end(self): |
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[973206a] | 33 | a = fvec(default_size) |
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[b7f3aaf] | 34 | a[-1] = 1 |
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| 35 | assert_equal(a[-1], 1) |
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[1a6ef2c] | 36 | assert_equal(a[len(a)-1], 1) |
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[b7f3aaf] | 37 | |
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| 38 | def test_vector(self): |
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| 39 | a = fvec() |
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[88554b9] | 40 | len(a) |
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| 41 | _ = a[0] |
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| 42 | np.array(a) |
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[b7f3aaf] | 43 | a = fvec(1) |
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[88554b9] | 44 | a = fvec(10) |
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| 45 | _ = a.T |
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[b7f3aaf] | 46 | |
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[88554b9] | 47 | class aubio_fvec_wrong_values(TestCase): |
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[b7f3aaf] | 48 | |
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[88554b9] | 49 | def test_negative_length(self): |
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| 50 | """ test creating fvec with negative length fails (pure python) """ |
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| 51 | self.assertRaises(ValueError, fvec, -10) |
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| 52 | |
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[0b6d23d] | 53 | def test_zero_length(self): |
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[88554b9] | 54 | """ test creating fvec with zero length fails (pure python) """ |
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| 55 | self.assertRaises(ValueError, fvec, 0) |
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| 56 | |
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| 57 | def test_out_of_bound(self): |
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| 58 | """ test assiging fvec out of bounds fails (pure python) """ |
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[b7f3aaf] | 59 | a = fvec(2) |
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[88554b9] | 60 | self.assertRaises(IndexError, a.__getitem__, 3) |
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| 61 | self.assertRaises(IndexError, a.__getitem__, 2) |
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| 62 | |
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| 63 | class aubio_wrong_fvec_input(TestCase): |
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| 64 | """ uses min_removal to test PyAubio_IsValidVector """ |
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| 65 | |
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| 66 | def test_no_input(self): |
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| 67 | self.assertRaises(TypeError, min_removal) |
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| 68 | |
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| 69 | def test_none(self): |
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| 70 | self.assertRaises(ValueError, min_removal, None) |
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| 71 | |
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| 72 | def test_wrong_scalar(self): |
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| 73 | a = np.array(10, dtype=float_type) |
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| 74 | self.assertRaises(ValueError, min_removal, a) |
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| 75 | |
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| 76 | def test_wrong_dimensions(self): |
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| 77 | a = np.array([[[1, 2], [3, 4]]], dtype=float_type) |
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| 78 | self.assertRaises(ValueError, min_removal, a) |
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| 79 | |
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| 80 | def test_wrong_array_size(self): |
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| 81 | x = np.array([], dtype=float_type) |
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| 82 | self.assertRaises(ValueError, min_removal, x) |
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| 83 | |
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| 84 | def test_wrong_type(self): |
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| 85 | a = np.zeros(10, dtype=wrong_type) |
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| 86 | self.assertRaises(ValueError, min_removal, a) |
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| 87 | |
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| 88 | def test_wrong_list_input(self): |
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| 89 | self.assertRaises(ValueError, min_removal, [0., 1.]) |
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| 90 | |
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| 91 | def test_good_input(self): |
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| 92 | a = np.zeros(10, dtype=float_type) |
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| 93 | assert_equal(np.zeros(10, dtype=float_type), min_removal(a)) |
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| 94 | |
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| 95 | class aubio_alpha_norm(TestCase): |
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| 96 | |
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| 97 | def test_alpha_norm_of_random(self): |
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| 98 | x = np.random.rand(1024).astype(float_type) |
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| 99 | alpha = np.random.rand() * 5. |
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| 100 | x_alpha_norm = (np.sum(np.abs(x)**alpha)/len(x))**(1/alpha) |
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[44312de] | 101 | assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm, decimal = 5) |
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[88554b9] | 102 | |
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| 103 | class aubio_zero_crossing_rate_test(TestCase): |
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[b7f3aaf] | 104 | |
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| 105 | def test_zero_crossing_rate(self): |
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[88554b9] | 106 | a = np.array([0, 1, -1], dtype=float_type) |
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| 107 | assert_almost_equal(zero_crossing_rate(a), 1./3.) |
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| 108 | |
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| 109 | def test_zero_crossing_rate_zeros(self): |
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| 110 | a = np.zeros(100, dtype=float_type) |
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| 111 | self.assertEqual(zero_crossing_rate(a), 0) |
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| 112 | |
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| 113 | def test_zero_crossing_rate_minus_ones(self): |
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| 114 | a = np.ones(100, dtype=float_type) |
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| 115 | self.assertEqual(zero_crossing_rate(a), 0) |
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| 116 | |
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| 117 | def test_zero_crossing_rate_plus_ones(self): |
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| 118 | a = np.ones(100, dtype=float_type) |
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| 119 | self.assertEqual(zero_crossing_rate(a), 0) |
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| 120 | |
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| 121 | class aubio_fvec_min_removal(TestCase): |
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[b7f3aaf] | 122 | |
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| 123 | def test_fvec_min_removal_of_array(self): |
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[88554b9] | 124 | a = np.array([20, 1, 19], dtype=float_type) |
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[b7f3aaf] | 125 | b = min_removal(a) |
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[88554b9] | 126 | assert_equal(b, [19, 0, 18]) |
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| 127 | |
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| 128 | class aubio_fvec_test_memory(TestCase): |
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[b7f3aaf] | 129 | |
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[fb3f62e] | 130 | def test_pass_to_numpy(self): |
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| 131 | a = fvec(10) |
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[0b6d23d] | 132 | a[:] = 1. |
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[fb3f62e] | 133 | b = a |
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| 134 | del a |
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[88554b9] | 135 | assert_equal(b, 1.) |
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[fb3f62e] | 136 | c = fvec(10) |
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| 137 | c = b |
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| 138 | del b |
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[88554b9] | 139 | assert_equal(c, 1.) |
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[fb3f62e] | 140 | del c |
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| 141 | |
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[b7f3aaf] | 142 | if __name__ == '__main__': |
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| 143 | main() |
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