@@ 90-101 (lines=12) @@ | ||
87 | assert abs(opt.best_score) < 0.001 |
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88 | ||
89 | ||
90 | @pytest.mark.parametrize(*optimizers) |
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91 | def test_initialize_grid_1(Optimizer): |
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92 | search_space = { |
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93 | "x1": np.arange(-2, 3, 1), |
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94 | } |
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95 | ||
96 | initialize = {"grid": 1} |
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97 | ||
98 | opt = Optimizer(search_space, initialize=initialize) |
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99 | opt.search(objective_function, n_iter=1) |
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100 | ||
101 | assert abs(opt.best_score) - 1 < 0.001 |
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102 | ||
103 | ||
104 | @pytest.mark.parametrize(*optimizers) |
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@@ 77-87 (lines=11) @@ | ||
74 | assert abs(opt.best_score) - 10000 < 0.001 |
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75 | ||
76 | ||
77 | @pytest.mark.parametrize(*optimizers) |
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78 | def test_initialize_grid_0(Optimizer): |
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79 | search_space = { |
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80 | "x1": np.arange(-1, 2, 1), |
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81 | } |
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82 | initialize = {"grid": 1} |
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83 | ||
84 | opt = Optimizer(search_space, initialize=initialize) |
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85 | opt.search(objective_function, n_iter=1) |
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86 | ||
87 | assert abs(opt.best_score) < 0.001 |
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88 | ||
89 | ||
90 | @pytest.mark.parametrize(*optimizers) |