| @@ 61-80 (lines=20) @@ | ||
| 58 | assert hyper.best_para(objective_function)["x1"] in search_space["x1"] |
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| 59 | ||
| 60 | ||
| 61 | def test_search_space_2(): |
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| 62 | """Test search space with numpy float range.""" |
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| 63 | ||
| 64 | def objective_function(opt): |
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| 65 | score = -opt["x1"] * opt["x1"] |
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| 66 | return score |
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| 67 | ||
| 68 | search_space = { |
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| 69 | "x1": list(range(0, 100, 1)), |
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| 70 | "str1": ["0", "1", "2"], |
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| 71 | } |
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| 72 | ||
| 73 | hyper = Hyperactive() |
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| 74 | hyper.add_search( |
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| 75 | objective_function, |
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| 76 | search_space, |
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| 77 | n_iter=15, |
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| 78 | ) |
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| 79 | hyper.run() |
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| 80 | ||
| 81 | assert isinstance(hyper.search_data(objective_function), pd.DataFrame) |
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| 82 | assert hyper.best_para(objective_function)["str1"] in search_space["str1"] |
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| 83 | ||
| @@ 38-56 (lines=19) @@ | ||
| 35 | assert hyper.best_para(objective_function)["x1"] in search_space["x1"] |
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| 36 | ||
| 37 | ||
| 38 | def test_search_space_1(): |
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| 39 | """Test search space with float range.""" |
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| 40 | ||
| 41 | def objective_function(opt): |
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| 42 | score = -opt["x1"] * opt["x1"] |
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| 43 | return score |
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| 44 | ||
| 45 | search_space = { |
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| 46 | "x1": list(np.arange(0, 0.003, 0.001)), |
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| 47 | } |
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| 48 | ||
| 49 | hyper = Hyperactive() |
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| 50 | hyper.add_search( |
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| 51 | objective_function, |
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| 52 | search_space, |
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| 53 | n_iter=15, |
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| 54 | ) |
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| 55 | hyper.run() |
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| 56 | ||
| 57 | assert isinstance(hyper.search_data(objective_function), pd.DataFrame) |
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| 58 | assert hyper.best_para(objective_function)["x1"] in search_space["x1"] |
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| 59 | ||
| @@ 15-33 (lines=19) @@ | ||
| 12 | pytest.skip("skip these tests for windows", allow_module_level=True) |
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| 13 | ||
| 14 | ||
| 15 | def test_search_space_0(): |
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| 16 | """Test search space with integer range.""" |
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| 17 | ||
| 18 | def objective_function(opt): |
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| 19 | score = -opt["x1"] * opt["x1"] |
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| 20 | return score |
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| 21 | ||
| 22 | search_space = { |
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| 23 | "x1": list(range(0, 3, 1)), |
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| 24 | } |
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| 25 | ||
| 26 | hyper = Hyperactive() |
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| 27 | hyper.add_search( |
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| 28 | objective_function, |
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| 29 | search_space, |
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| 30 | n_iter=15, |
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| 31 | ) |
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| 32 | hyper.run() |
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| 33 | ||
| 34 | assert isinstance(hyper.search_data(objective_function), pd.DataFrame) |
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| 35 | assert hyper.best_para(objective_function)["x1"] in search_space["x1"] |
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| 36 | ||