1 | #! /usr/bin/env python |
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2 | |
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3 | from unittest import main |
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4 | import numpy as np |
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5 | from numpy.testing import TestCase, assert_equal, assert_almost_equal |
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6 | from aubio import fvec, zero_crossing_rate, alpha_norm, min_removal |
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7 | from aubio import float_type |
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8 | |
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9 | wrong_type = 'float32' if float_type == 'float64' else 'float64' |
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10 | |
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11 | default_size = 512 |
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12 | |
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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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16 | a = fvec(10) |
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17 | assert a.dtype == float_type |
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18 | assert a.shape == (10,) |
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19 | assert_equal(a, 0) |
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20 | |
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21 | def test_vector_create_with_list(self): |
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22 | a = fvec([0, 1, 2, 3]) |
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23 | assert a.dtype == float_type |
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24 | assert a.shape == (4,) |
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25 | assert_equal(list(range(4)), a) |
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26 | |
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27 | def test_vector_assign_element(self): |
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28 | a = fvec(default_size) |
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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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33 | a = fvec(default_size) |
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34 | a[-1] = 1 |
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35 | assert_equal(a[-1], 1) |
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36 | assert_equal(a[len(a)-1], 1) |
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37 | |
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38 | def test_vector(self): |
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39 | a = fvec() |
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40 | len(a) |
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41 | _ = a[0] |
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42 | np.array(a) |
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43 | a = fvec(1) |
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44 | a = fvec(10) |
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45 | _ = a.T |
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46 | |
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47 | class aubio_fvec_wrong_values(TestCase): |
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48 | |
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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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53 | def test_zero_length(self): |
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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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59 | a = fvec(2) |
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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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101 | assert_almost_equal(alpha_norm(x, alpha), x_alpha_norm, decimal = 5) |
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102 | |
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103 | class aubio_zero_crossing_rate_test(TestCase): |
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104 | |
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105 | def test_zero_crossing_rate(self): |
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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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122 | |
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123 | def test_fvec_min_removal_of_array(self): |
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124 | a = np.array([20, 1, 19], dtype=float_type) |
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125 | b = min_removal(a) |
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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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129 | |
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130 | def test_pass_to_numpy(self): |
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131 | a = fvec(10) |
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132 | a[:] = 1. |
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133 | b = a |
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134 | del a |
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135 | assert_equal(b, 1.) |
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136 | c = fvec(10) |
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137 | c = b |
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138 | del b |
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139 | assert_equal(c, 1.) |
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140 | del c |
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141 | |
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142 | if __name__ == '__main__': |
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143 | main() |
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