@@ 23-33 (lines=11) @@ | ||
20 | opt.search(objective_function, n_iter=5, verbosity=False) |
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21 | ||
22 | ||
23 | @pytest.mark.parametrize(*optimizers) |
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24 | def test_large_search_space_1(Optimizer): |
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25 | ||
26 | search_space = { |
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27 | "x1": np.arange(0, 1000, 0.001), |
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28 | "x2": np.arange(0, 1000, 0.001), |
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29 | "x3": np.arange(0, 1000, 0.001), |
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30 | } |
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31 | ||
32 | opt = Optimizer(search_space, initialize={"random": 3}) |
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33 | opt.search(objective_function, n_iter=5, verbosity=False) |
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34 | ||
35 | ||
36 | """ |
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@@ 11-20 (lines=10) @@ | ||
8 | return 1 |
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9 | ||
10 | ||
11 | @pytest.mark.parametrize(*optimizers) |
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12 | def test_large_search_space_0(Optimizer): |
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13 | ||
14 | search_space = { |
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15 | "x1": np.arange(0, 1000000), |
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16 | "x2": np.arange(0, 1000000), |
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17 | "x3": np.arange(0, 1000000), |
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18 | } |
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19 | opt = Optimizer(search_space, initialize={"random": 3}) |
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20 | opt.search(objective_function, n_iter=5, verbosity=False) |
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21 | ||
22 | ||
23 | @pytest.mark.parametrize(*optimizers) |