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import copy |
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2
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import pytest |
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3
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import numpy as np |
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4
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import pandas as pd |
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5
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6
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from hyperactive.optimizers import HillClimbingOptimizer |
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7
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from hyperactive.experiment import BaseExperiment, add_callback |
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8
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from hyperactive.search_config import SearchConfig |
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9
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10
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11
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search_config = SearchConfig( |
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12
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x0=list(np.arange(-10, 10, 1)), |
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13
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) |
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14
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15
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n_iter = 20 |
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16
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17
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18
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def test_callback_0(): |
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class Experiment(BaseExperiment): |
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20
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def callback_1(self, access): |
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access.stuff1 = 1 |
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22
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23
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def callback_2(self, access): |
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24
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access.stuff2 = 2 |
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25
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26
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@add_callback(before=[callback_1, callback_2]) |
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27
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def objective_function(self, access): |
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28
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assert access.stuff1 == 1 |
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29
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assert access.stuff2 == 2 |
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30
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31
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return 0 |
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32
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33
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experiment = Experiment() |
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34
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35
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hyper = HillClimbingOptimizer() |
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36
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hyper.add_search( |
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37
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experiment, |
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38
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search_config, |
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39
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n_iter=n_iter, |
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40
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) |
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41
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hyper.run() |
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42
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43
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44
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def test_callback_1(): |
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45
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class Experiment(BaseExperiment): |
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46
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def callback_1(self, access): |
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47
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access.stuff1 = 1 |
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48
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49
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def callback_2(self, access): |
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50
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access.stuff1 = 2 |
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51
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52
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@add_callback(before=[callback_1], after=[callback_2]) |
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53
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def objective_function(self, access): |
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54
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assert access.stuff1 == 1 |
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55
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56
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return 0 |
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57
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58
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experiment = Experiment() |
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59
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60
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hyper = HillClimbingOptimizer() |
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61
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hyper.add_search( |
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62
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experiment, |
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63
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search_config, |
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64
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n_iter=n_iter, |
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65
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) |
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66
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hyper.run() |
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67
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68
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69
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def test_callback_2(): |
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70
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class Experiment(BaseExperiment): |
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71
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72
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def callback_1(self, access): |
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73
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self.test_var = 1 |
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74
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75
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def setup(self, test_var): |
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76
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self.test_var = test_var |
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77
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78
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@add_callback(before=[callback_1]) |
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79
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def objective_function(self, access): |
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80
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assert self.test_var == 1 |
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81
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82
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return 0 |
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83
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84
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experiment = Experiment() |
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85
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experiment.setup(5) |
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86
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87
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hyper = HillClimbingOptimizer() |
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88
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hyper.add_search( |
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89
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experiment, |
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90
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search_config, |
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91
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n_iter=n_iter, |
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92
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) |
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93
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hyper.run() |
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94
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95
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96
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def test_callback_3(): |
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97
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class Experiment(BaseExperiment): |
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98
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99
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def callback_1(self, access): |
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100
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self.test_var = 1 |
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101
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102
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def setup(self, test_var): |
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103
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self.test_var = test_var |
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104
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105
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@add_callback(after=[callback_1]) |
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106
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def objective_function(self, access): |
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107
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if access.nth_iter == 0: |
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108
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assert self.test_var == 0 |
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109
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else: |
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110
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assert self.test_var == 1 |
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111
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112
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return 0 |
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113
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114
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experiment = Experiment() |
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115
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experiment.setup(0) |
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116
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117
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hyper = HillClimbingOptimizer() |
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118
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hyper.add_search( |
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119
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experiment, |
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120
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search_config, |
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121
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n_iter=n_iter, |
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122
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) |
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123
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hyper.run() |
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124
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SimonBlanke /
Hyperactive
