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"""Test module for exception catching functionality.""" |
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import math |
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4
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5
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import numpy as np |
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6
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7
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from hyperactive import Hyperactive |
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9
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search_space = { |
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"x1": list(np.arange(-100, 100, 1)), |
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} |
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12
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13
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14
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def test_catch_1(): |
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"""Test catching TypeError exceptions in objective function.""" |
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def objective_function(access): |
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1 + "str" # Intentional TypeError for testing |
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return 0 |
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hyper = Hyperactive() |
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hyper.add_search( |
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objective_function, |
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search_space, |
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n_iter=100, |
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catch={TypeError: np.nan}, |
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) |
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hyper.run() |
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def test_catch_2(): |
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"""Test catching ValueError exceptions in objective function.""" |
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35
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def objective_function(access): |
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math.sqrt(-10) |
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38
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return 0 |
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39
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40
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hyper = Hyperactive() |
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hyper.add_search( |
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objective_function, |
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search_space, |
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n_iter=100, |
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catch={ValueError: np.nan}, |
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) |
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hyper.run() |
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48
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49
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50
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def test_catch_3(): |
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"""Test catching ZeroDivisionError exceptions in objective function.""" |
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52
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53
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def objective_function(access): |
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54
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1 / 0 # Intentional ZeroDivisionError for testing |
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55
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56
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return 0 |
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58
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hyper = Hyperactive() |
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59
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hyper.add_search( |
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objective_function, |
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search_space, |
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n_iter=100, |
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catch={ZeroDivisionError: np.nan}, |
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64
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) |
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hyper.run() |
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66
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67
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68
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def test_catch_all_0(): |
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"""Test catching multiple exception types returning NaN values.""" |
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70
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71
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def objective_function(access): |
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72
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1 + "str" # Intentional TypeError for testing |
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73
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math.sqrt(-10) # Intentional ValueError for testing |
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74
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1 / 0 # Intentional ZeroDivisionError for testing |
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75
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76
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return 0 |
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77
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78
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hyper = Hyperactive() |
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hyper.add_search( |
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80
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objective_function, |
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search_space, |
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82
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n_iter=100, |
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catch={ |
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TypeError: np.nan, |
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ValueError: np.nan, |
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86
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ZeroDivisionError: np.nan, |
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}, |
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) |
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89
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hyper.run() |
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90
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91
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nan_ = hyper.search_data(objective_function)["score"].values[0] |
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92
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93
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assert math.isnan(nan_) |
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94
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95
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96
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def test_catch_all_1(): |
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"""Test catching multiple exception types returning tuple values.""" |
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98
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99
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def objective_function(access): |
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100
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1 + "str" # Intentional TypeError for testing |
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101
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math.sqrt(-10) # Intentional ValueError for testing |
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102
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1 / 0 # Intentional ZeroDivisionError for testing |
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103
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104
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return 0, {"error": False} |
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105
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106
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catch_return = (np.nan, {"error": True}) |
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107
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108
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hyper = Hyperactive() |
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109
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hyper.add_search( |
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110
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objective_function, |
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111
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search_space, |
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112
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n_iter=100, |
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113
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catch={ |
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114
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TypeError: catch_return, |
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115
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ValueError: catch_return, |
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116
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ZeroDivisionError: catch_return, |
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117
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}, |
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118
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) |
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119
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hyper.run() |
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120
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121
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nan_ = hyper.search_data(objective_function)["score"].values[0] |
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122
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error_ = hyper.search_data(objective_function)["error"].values[0] |
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123
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124
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assert math.isnan(nan_) |
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125
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assert error_ |
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126
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SimonBlanke /
Hyperactive
