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import time |
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import pytest |
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import numpy as np |
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4
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import pandas as pd |
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6
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from hyperactive import Hyperactive |
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import numpy as np |
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10
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11
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search_space_0 = { |
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"x1": list(range(0, 100, 1)), |
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} |
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search_space_1 = { |
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"x1": list(range(0, 100, 1)), |
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"x2": list(range(-5, 5, 1)), |
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"x3": list(range(-5, 5, 1)), |
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} |
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search_space_2 = { |
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"x1": list(range(0, 100, 1)), |
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"x2": list(np.arange(0, 0.003, 0.001)), |
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} |
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search_space_3 = { |
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"x1": list(range(0, 100, 1)), |
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"str1": ["0", "1", "2"], |
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} |
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def func1(): |
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pass |
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def func2(): |
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pass |
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def func3(): |
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pass |
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search_space_3 = { |
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"x1": list(range(0, 100, 1)), |
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"func1": [func1, func2, func3], |
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} |
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class class1: |
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pass |
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class class2: |
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pass |
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class class3: |
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pass |
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search_space_4 = { |
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"x1": list(range(0, 100, 1)), |
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"class1": [class1, class2, class3], |
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} |
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68
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class class1: |
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def __init__(self): |
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pass |
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72
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class class2: |
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def __init__(self): |
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pass |
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class class3: |
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def __init__(self): |
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pass |
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82
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83
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search_space_5 = { |
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"x1": list(range(0, 100, 1)), |
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"class1": [class1(), class2(), class3()], |
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86
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} |
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87
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88
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search_space_6 = { |
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"x1": list(range(0, 100, 1)), |
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"list1": [[1, 1, 1], [1, 2, 1], [1, 1, 2]], |
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} |
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92
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93
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94
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search_space_list = [ |
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(search_space_0), |
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(search_space_1), |
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(search_space_2), |
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(search_space_3), |
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(search_space_4), |
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(search_space_5), |
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(search_space_6), |
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] |
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103
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104
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105
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def objective_function(opt): |
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106
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score = -opt["x1"] * opt["x1"] |
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return score |
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108
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109
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110
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@pytest.mark.parametrize("search_space", search_space_list) |
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def test_memory_warm_start_0(search_space): |
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112
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hyper0 = Hyperactive() |
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hyper0.add_search(objective_function, search_space, n_iter=20) |
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114
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hyper0.run() |
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115
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116
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search_data0 = hyper0.results(objective_function) |
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118
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hyper1 = Hyperactive() |
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hyper1.add_search( |
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objective_function, search_space, n_iter=20, memory_warm_start=search_data0 |
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) |
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hyper1.run() |
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123
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SimonBlanke /
Hyperactive
