SimonBlanke /
Gradient-Free-Optimizers
| @@ 49-87 (lines=39) @@ | ||
| 46 | assert 0 in uniques_2nd_dim |
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| 47 | ||
| 48 | ||
| 49 | @pytest.mark.parametrize(*pytest_parameter) |
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| 50 | def test_exploration_1(Optimizer): |
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| 51 | def objective_function(para): |
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| 52 | score = -(para["x1"] * para["x1"] + para["x2"] * para["x2"]) |
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| 53 | return score |
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| 54 | ||
| 55 | search_space = { |
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| 56 | "x1": np.arange(-50, 1, 1), |
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| 57 | "x2": np.arange(-10, 1, 1), |
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| 58 | } |
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| 59 | ||
| 60 | init1 = { |
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| 61 | "x1": -50, |
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| 62 | "x2": -1, |
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| 63 | } |
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| 64 | ||
| 65 | init2 = { |
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| 66 | "x1": -49, |
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| 67 | "x2": -2, |
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| 68 | } |
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| 69 | ||
| 70 | opt = Optimizer(search_space) |
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| 71 | opt.search( |
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| 72 | objective_function, |
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| 73 | n_iter=50, |
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| 74 | memory=False, |
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| 75 | verbosity={"print_results": False, "progress_bar": False,}, |
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| 76 | initialize={"warm_start": [init1]}, |
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| 77 | ) |
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| 78 | ||
| 79 | uniques_2nd_dim = list(opt.results["x2"].values) |
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| 80 | ||
| 81 | print("\n uniques_2nd_dim \n", uniques_2nd_dim, "\n") |
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| 82 | print("\n Results head \n", opt.results.head()) |
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| 83 | print("\n Results tail \n", opt.results.tail()) |
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| 84 | ||
| 85 | print("\nN iter:", len(opt.results)) |
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| 86 | ||
| 87 | assert 0 in uniques_2nd_dim |
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| 88 | ||
| 89 | ||
| @@ 8-46 (lines=39) @@ | ||
| 5 | from ._parametrize import pytest_parameter |
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| 6 | ||
| 7 | ||
| 8 | @pytest.mark.parametrize(*pytest_parameter) |
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| 9 | def test_exploration_0(Optimizer): |
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| 10 | def objective_function(para): |
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| 11 | score = -(para["x1"] * para["x1"] + para["x2"] * para["x2"]) |
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| 12 | return score |
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| 13 | ||
| 14 | search_space = { |
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| 15 | "x1": np.arange(-50, 1, 1), |
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| 16 | "x2": np.arange(0, 10, 1), |
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| 17 | } |
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| 18 | ||
| 19 | init1 = { |
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| 20 | "x1": -50, |
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| 21 | "x2": 1, |
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| 22 | } |
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| 23 | ||
| 24 | init2 = { |
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| 25 | "x1": -49, |
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| 26 | "x2": 2, |
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| 27 | } |
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| 28 | ||
| 29 | opt = Optimizer(search_space) |
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| 30 | opt.search( |
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| 31 | objective_function, |
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| 32 | n_iter=50, |
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| 33 | memory=False, |
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| 34 | verbosity={"print_results": False, "progress_bar": False,}, |
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| 35 | initialize={"warm_start": [init1, init2]}, |
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| 36 | ) |
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| 37 | ||
| 38 | uniques_2nd_dim = list(opt.results["x2"].values) |
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| 39 | ||
| 40 | print("\n uniques_2nd_dim \n", uniques_2nd_dim, "\n") |
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| 41 | print("\n Results head \n", opt.results.head()) |
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| 42 | print("\n Results tail \n", opt.results.tail()) |
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| 43 | ||
| 44 | print("\nN iter:", len(opt.results)) |
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| 45 | ||
| 46 | assert 0 in uniques_2nd_dim |
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| 47 | ||
| 48 | ||
| 49 | @pytest.mark.parametrize(*pytest_parameter) |
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