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"""Test module for warm start functionality.""" |
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import sys |
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import numpy as np |
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import pytest |
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from hyperactive import Hyperactive |
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if sys.platform.startswith("win"): |
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pytest.skip("skip these tests for windows", allow_module_level=True) |
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def func1(): |
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"""Test function 1 for search space.""" |
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pass |
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def func2(): |
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"""Test function 2 for search space.""" |
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pass |
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class class1: |
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"""Test class for search space functionality.""" |
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def __init__(self): |
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pass |
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class class2: |
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"""Test class for search space functionality.""" |
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def __init__(self): |
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pass |
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def class_f1(): |
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"""Return class1 for search space.""" |
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return class1 |
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def class_f2(): |
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"""Return class2 for search space.""" |
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return class2 |
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def numpy_f1(): |
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"""Return numpy array [0, 1] for search space.""" |
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return np.array([0, 1]) |
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def numpy_f2(): |
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"""Return numpy array [1, 0] for search space.""" |
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return np.array([1, 0]) |
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search_space = { |
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"x0": list(range(-3, 3)), |
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"x1": list(np.arange(-1, 1, 0.001)), |
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"string0": ["str0", "str1"], |
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"function0": [func1, func2], |
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"class0": [class_f1, class_f2], |
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"numpy0": [numpy_f1, numpy_f2], |
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} |
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def objective_function(opt): |
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"""Return simple quadratic objective function for testing.""" |
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score = -opt["x1"] * opt["x1"] |
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return score |
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def test_warm_start_0(): |
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"""Test warm start from single job to single job.""" |
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hyper0 = Hyperactive() |
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hyper0.add_search(objective_function, search_space, n_iter=15) |
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hyper0.run() |
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best_para0 = hyper0.best_para(objective_function) |
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hyper1 = Hyperactive() |
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hyper1.add_search( |
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objective_function, |
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search_space, |
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n_iter=15, |
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initialize={"warm_start": [best_para0]}, |
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) |
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hyper1.run() |
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def test_warm_start_1(): |
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"""Test warm start from multi-job to single job.""" |
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hyper0 = Hyperactive(distribution="pathos") |
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hyper0.add_search(objective_function, search_space, n_iter=15, n_jobs=2) |
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hyper0.run() |
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best_para0 = hyper0.best_para(objective_function) |
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hyper1 = Hyperactive() |
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hyper1.add_search( |
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objective_function, |
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search_space, |
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n_iter=15, |
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initialize={"warm_start": [best_para0]}, |
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) |
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hyper1.run() |
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def test_warm_start_2(): |
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"""Test warm start from single job to multi-job.""" |
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hyper0 = Hyperactive() |
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hyper0.add_search(objective_function, search_space, n_iter=15) |
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hyper0.run() |
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best_para0 = hyper0.best_para(objective_function) |
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hyper1 = Hyperactive(distribution="pathos") |
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hyper1.add_search( |
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objective_function, |
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search_space, |
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n_iter=15, |
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n_jobs=2, |
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initialize={"warm_start": [best_para0]}, |
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) |
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hyper1.run() |
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def test_warm_start_3(): |
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"""Test warm start from multi-job to multi-job.""" |
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hyper0 = Hyperactive(distribution="pathos") |
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hyper0.add_search(objective_function, search_space, n_iter=15, n_jobs=2) |
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hyper0.run() |
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best_para0 = hyper0.best_para(objective_function) |
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hyper1 = Hyperactive(distribution="pathos") |
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hyper1.add_search( |
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objective_function, |
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search_space, |
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n_iter=15, |
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n_jobs=2, |
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initialize={"warm_start": [best_para0]}, |
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) |
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hyper1.run() |
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SimonBlanke /
Hyperactive
