SimonBlanke /
Hyperactive
| @@ 134-153 (lines=20) @@ | ||
| 131 | search_data["eval_times"] |
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| 132 | ||
| 133 | ||
| 134 | def test_attributes_results_8(): |
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| 135 | def objective_function(opt): |
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| 136 | score = -opt["x1"] * opt["x1"] |
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| 137 | return score |
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| 138 | ||
| 139 | search_space = { |
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| 140 | "x1": list(np.arange(0, 10, 1)), |
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| 141 | } |
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| 142 | ||
| 143 | hyper = HillClimbingOptimizer() |
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| 144 | hyper.add_search( |
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| 145 | experiment, |
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| 146 | search_config, |
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| 147 | n_iter=20, |
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| 148 | ) |
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| 149 | hyper.run() |
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| 150 | ||
| 151 | search_data = hyper.search_data(experiment) |
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| 152 | with pytest.raises(Exception) as e_info: |
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| 153 | search_data["iter_times"] |
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| 154 | ||
| 155 | ||
| 156 | def test_attributes_results_9(): |
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| @@ 112-131 (lines=20) @@ | ||
| 109 | assert len(set(x1_results)) < len(x1_results) |
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| 110 | ||
| 111 | ||
| 112 | def test_attributes_results_7(): |
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| 113 | def objective_function(opt): |
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| 114 | score = -opt["x1"] * opt["x1"] |
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| 115 | return score |
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| 116 | ||
| 117 | search_space = { |
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| 118 | "x1": list(np.arange(0, 10, 1)), |
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| 119 | } |
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| 120 | ||
| 121 | hyper = HillClimbingOptimizer() |
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| 122 | hyper.add_search( |
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| 123 | experiment, |
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| 124 | search_config, |
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| 125 | n_iter=20, |
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| 126 | ) |
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| 127 | hyper.run() |
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| 128 | ||
| 129 | search_data = hyper.search_data(experiment) |
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| 130 | with pytest.raises(Exception) as e_info: |
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| 131 | search_data["eval_times"] |
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| 132 | ||
| 133 | ||
| 134 | def test_attributes_results_8(): |
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