Total Complexity | 7 |
Total Lines | 52 |
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 | import numpy as np |
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6 | |||
7 | |||
8 | class BasePositioner: |
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9 | def __init__(self, *args, **kwargs): |
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10 | self._pos_new = None |
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11 | self._score_new = -np.inf |
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12 | |||
13 | self.pos_current = None |
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14 | self.score_current = -np.inf |
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15 | |||
16 | self.pos_best = None |
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17 | self.score_best = -np.inf |
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18 | |||
19 | self.pos_new_list = [] |
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20 | self.score_new_list = [] |
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21 | |||
22 | @property |
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23 | def pos_new(self): |
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24 | return self._pos_new |
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25 | |||
26 | @pos_new.setter |
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27 | def pos_new(self, value): |
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28 | self.pos_new_list.append(value) |
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29 | self._pos_new = value |
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30 | |||
31 | @property |
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32 | def score_new(self): |
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33 | return self._score_new |
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34 | |||
35 | @score_new.setter |
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36 | def score_new(self, value): |
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37 | self.score_new_list.append(value) |
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38 | self._score_new = value |
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39 | |||
40 | def move_climb(self, _cand_, pos, epsilon_mod=1): |
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41 | sigma = 3 + _cand_._space_.dim * self.epsilon * epsilon_mod |
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42 | pos_normal = self.climb_dist(pos, sigma, pos.shape) |
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43 | pos_new_int = np.rint(pos_normal) |
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44 | |||
45 | n_zeros = [0] * len(_cand_._space_.dim) |
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46 | pos = np.clip(pos_new_int, n_zeros, _cand_._space_.dim) |
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47 | |||
48 | return pos.astype(int) |
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49 | |||
50 | def move_random(self, _cand_): |
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51 | return _cand_._space_.get_random_pos() |
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52 |