@@ 142-163 (lines=22) @@ | ||
139 | search_data["eval_times"] |
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140 | ||
141 | ||
142 | def test_attributes_results_8(): |
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143 | """Test search data without times parameter excludes iteration timing.""" |
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144 | ||
145 | def objective_function(opt): |
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146 | score = -opt["x1"] * opt["x1"] |
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147 | return score |
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148 | ||
149 | search_space = { |
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150 | "x1": list(np.arange(0, 10, 1)), |
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151 | } |
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152 | ||
153 | hyper = Hyperactive() |
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154 | hyper.add_search( |
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155 | objective_function, |
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156 | search_space, |
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157 | n_iter=20, |
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158 | ) |
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159 | hyper.run() |
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160 | ||
161 | search_data = hyper.search_data(objective_function) |
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162 | with pytest.raises(Exception): |
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163 | search_data["iter_times"] |
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164 | ||
165 | ||
166 | def test_attributes_results_9(): |
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@@ 118-139 (lines=22) @@ | ||
115 | assert len(set(x1_results)) < len(x1_results) |
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116 | ||
117 | ||
118 | def test_attributes_results_7(): |
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119 | """Test search data without times parameter excludes timing columns.""" |
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120 | ||
121 | def objective_function(opt): |
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122 | score = -opt["x1"] * opt["x1"] |
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123 | return score |
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124 | ||
125 | search_space = { |
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126 | "x1": list(np.arange(0, 10, 1)), |
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127 | } |
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128 | ||
129 | hyper = Hyperactive() |
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130 | hyper.add_search( |
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131 | objective_function, |
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132 | search_space, |
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133 | n_iter=20, |
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134 | ) |
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135 | hyper.run() |
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136 | ||
137 | search_data = hyper.search_data(objective_function) |
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138 | with pytest.raises(Exception): |
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139 | search_data["eval_times"] |
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140 | ||
141 | ||
142 | def test_attributes_results_8(): |