SimonBlanke /
Hyperactive
| Total Complexity | 5 |
| Total Lines | 36 |
| 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 | import numpy as np |
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| 7 | |||
| 8 | |||
| 9 | def init_candidate(_main_args_, nth_process, Candidate): |
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| 10 | _main_args_._set_random_seed(nth_process) |
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| 11 | _cand_ = Candidate(nth_process, _main_args_) |
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| 12 | |||
| 13 | return _cand_ |
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| 14 | |||
| 15 | |||
| 16 | def merge_dicts(base_dict, added_dict): |
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| 17 | # overwrite default values |
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| 18 | for key in base_dict.keys(): |
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| 19 | if key in list(added_dict.keys()): |
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| 20 | base_dict[key] = added_dict[key] |
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| 21 | |||
| 22 | return base_dict |
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| 23 | |||
| 24 | |||
| 25 | def sort_for_best(sort, sort_by): |
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| 26 | # Returns two lists sorted by the second |
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| 27 | sort = np.array(sort) |
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| 28 | sort_by = np.array(sort_by) |
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| 29 | |||
| 30 | index_best = list(sort_by.argsort()[::-1]) |
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| 31 | |||
| 32 | sort_sorted = sort[index_best] |
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| 33 | sort_by_sorted = sort_by[index_best] |
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| 34 | |||
| 35 | return sort_sorted, sort_by_sorted |
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| 36 |
