| Total Complexity | 5 |
| Total Lines | 43 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | # Author: Simon Blanke |
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| 2 | # Email: [email protected] |
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| 3 | # License: MIT License |
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| 4 | |||
| 5 | |||
| 6 | from ._dictionary import DictClass |
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| 7 | |||
| 8 | |||
| 9 | def gfo2hyper(search_space, para): |
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| 10 | values_dict = {} |
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| 11 | for _, key in enumerate(search_space.keys()): |
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| 12 | pos_ = int(para[key]) |
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| 13 | values_dict[key] = search_space[key][pos_] |
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| 14 | |||
| 15 | return values_dict |
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| 16 | |||
| 17 | |||
| 18 | class ObjectiveFunction(DictClass): |
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| 19 | def __init__(self, experiment): |
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| 20 | super().__init__() |
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| 21 | |||
| 22 | self.objective_function = experiment.objective_function |
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| 23 | self.catch = experiment._catch |
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| 24 | |||
| 25 | self.nth_iter = -1 |
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| 26 | |||
| 27 | def __call__(self, search_space): |
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| 28 | # wrapper for GFOs |
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| 29 | def _model(para): |
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| 30 | self.nth_iter += 1 |
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| 31 | para = gfo2hyper(search_space, para) |
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| 32 | self.para_dict = para |
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| 33 | |||
| 34 | try: |
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| 35 | results = self.objective_function(self) |
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| 36 | except tuple(self.catch.keys()) as e: |
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| 37 | results = self.catch[e.__class__] |
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| 38 | |||
| 39 | return results |
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| 40 | |||
| 41 | _model.__name__ = self.objective_function.__name__ |
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| 42 | return _model |
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| 43 |