| Total Complexity | 10 |
| Total Lines | 53 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
| 1 | # Author: Simon Blanke |
||
| 2 | # Email: [email protected] |
||
| 3 | # License: MIT License |
||
| 4 | |||
| 5 | from tqdm.auto import tqdm |
||
| 6 | |||
| 7 | |||
| 8 | class ProgressBar: |
||
| 9 | def init_p_bar(self, _cand_, _core_): |
||
| 10 | pass |
||
| 11 | |||
| 12 | def update_p_bar(self, n, _cand_): |
||
| 13 | pass |
||
| 14 | |||
| 15 | def close_p_bar(self): |
||
| 16 | pass |
||
| 17 | |||
| 18 | |||
| 19 | class ProgressBarLVL0(ProgressBar): |
||
| 20 | def __init__(self): |
||
| 21 | self.best_since_iter = 0 |
||
| 22 | |||
| 23 | def init_p_bar(self, _cand_, _core_): |
||
| 24 | self.p_bar = tqdm(**self._tqdm_dict(_cand_, _core_)) |
||
| 25 | |||
| 26 | def update_p_bar(self, n, _cand_): |
||
| 27 | self.p_bar.update(n) |
||
| 28 | |||
| 29 | def close_p_bar(self): |
||
| 30 | self.p_bar.close() |
||
| 31 | |||
| 32 | def _tqdm_dict(self, _cand_, _core_): |
||
| 33 | """Generates the parameter dict for tqdm in the iteration-loop of each optimizer""" |
||
| 34 | return { |
||
| 35 | "total": _core_.n_iter, |
||
| 36 | "desc": "Thread " |
||
| 37 | + str(_cand_.nth_process) |
||
| 38 | + " -> " |
||
| 39 | + _cand_._model_.func_.__name__, |
||
| 40 | "position": _cand_.nth_process, |
||
| 41 | "leave": True, |
||
| 42 | } |
||
| 43 | |||
| 44 | |||
| 45 | class ProgressBarLVL1(ProgressBarLVL0): |
||
| 46 | def __init__(self): |
||
| 47 | self.best_since_iter = 0 |
||
| 48 | |||
| 49 | def update_p_bar(self, n, _cand_): |
||
| 50 | self.p_bar.update(n) |
||
| 51 | self.p_bar.set_postfix( |
||
| 52 | best_score=str(_cand_.score_best), best_since_iter=self.best_since_iter |
||
| 53 | ) |
||
| 54 |