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@@ 64-74 (lines=11) @@
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| 61 |
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assert len(opt.results["x1"]) == 30 |
| 62 |
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| 63 |
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| 64 |
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@pytest.mark.parametrize(*optimizers) |
| 65 |
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def test_searches_4(Optimizer): |
| 66 |
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initialize = {"warm_start": [{"x1": -100}]} |
| 67 |
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| 68 |
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opt = Optimizer(search_space, initialize=initialize) |
| 69 |
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opt.search(objective_function, n_iter=10) |
| 70 |
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opt.search(objective_function, n_iter=10) |
| 71 |
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opt.search(objective_function, n_iter=10) |
| 72 |
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| 73 |
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assert -100 in opt.results["x1"].values |
| 74 |
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assert len(opt.results["x1"]) == 30 |
| 75 |
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@@ 15-25 (lines=11) @@
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| 12 |
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search_space = {"x1": np.arange(-100, 1, 1)} |
| 13 |
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| 14 |
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| 15 |
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@pytest.mark.parametrize(*optimizers) |
| 16 |
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def test_searches_0(Optimizer): |
| 17 |
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| 18 |
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initialize = {"warm_start": [{"x1": -100}]} |
| 19 |
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| 20 |
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opt = Optimizer(search_space, initialize=initialize) |
| 21 |
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opt.search(objective_function, n_iter=1) |
| 22 |
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opt.search(objective_function, n_iter=1) |
| 23 |
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|
| 24 |
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assert -100 in opt.results["x1"].values |
| 25 |
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assert len(opt.results["x1"]) == 2 |
| 26 |
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| 27 |
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| 28 |
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@pytest.mark.parametrize(*optimizers) |
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@@ 52-61 (lines=10) @@
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| 49 |
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assert len(opt.results["x1"]) == 21 |
| 50 |
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| 51 |
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| 52 |
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@pytest.mark.parametrize(*optimizers) |
| 53 |
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def test_searches_3(Optimizer): |
| 54 |
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initialize = {"warm_start": [{"x1": -100}]} |
| 55 |
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|
| 56 |
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opt = Optimizer(search_space, initialize=initialize) |
| 57 |
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opt.search(objective_function, n_iter=10) |
| 58 |
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opt.search(objective_function, n_iter=20) |
| 59 |
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|
| 60 |
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assert -100 in opt.results["x1"].values |
| 61 |
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assert len(opt.results["x1"]) == 30 |
| 62 |
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|
| 63 |
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|
| 64 |
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@pytest.mark.parametrize(*optimizers) |
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@@ 40-49 (lines=10) @@
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| 37 |
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assert len(opt.results["x1"]) == 11 |
| 38 |
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|
| 39 |
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|
| 40 |
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@pytest.mark.parametrize(*optimizers) |
| 41 |
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def test_searches_2(Optimizer): |
| 42 |
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initialize = {"warm_start": [{"x1": -100}]} |
| 43 |
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|
| 44 |
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opt = Optimizer(search_space, initialize=initialize) |
| 45 |
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opt.search(objective_function, n_iter=1) |
| 46 |
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opt.search(objective_function, n_iter=20) |
| 47 |
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|
| 48 |
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assert -100 in opt.results["x1"].values |
| 49 |
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assert len(opt.results["x1"]) == 21 |
| 50 |
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|
| 51 |
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|
| 52 |
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@pytest.mark.parametrize(*optimizers) |
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@@ 28-37 (lines=10) @@
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| 25 |
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assert len(opt.results["x1"]) == 2 |
| 26 |
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|
| 27 |
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|
| 28 |
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@pytest.mark.parametrize(*optimizers) |
| 29 |
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def test_searches_1(Optimizer): |
| 30 |
|
initialize = {"warm_start": [{"x1": -100}]} |
| 31 |
|
|
| 32 |
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opt = Optimizer(search_space, initialize=initialize) |
| 33 |
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opt.search(objective_function, n_iter=1) |
| 34 |
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opt.search(objective_function, n_iter=10) |
| 35 |
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|
| 36 |
|
assert -100 in opt.results["x1"].values |
| 37 |
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assert len(opt.results["x1"]) == 11 |
| 38 |
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|
| 39 |
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|
| 40 |
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@pytest.mark.parametrize(*optimizers) |
SimonBlanke /
Gradient-Free-Optimizers
