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by Simon
14:21
created

RandomSearchOptimizer._iterate()   A

Complexity

Conditions 2

Size

Total Lines 10
Code Lines 7

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 2
eloc 7
nop 3
dl 0
loc 10
rs 10
c 0
b 0
f 0
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# Author: Simon Blanke
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# Email: [email protected]
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# License: MIT License
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from ...base_optimizer import BaseOptimizer
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class RandomSearchOptimizer(BaseOptimizer):
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    def __init__(self, _opt_args_):
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        super().__init__(_opt_args_)
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        self.n_positioners = 1
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    def _iterate(self, i, _cand_):
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        if i < 1:
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            self._init_iteration(_cand_)
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        else:
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            self.p_list[0].move_random(_cand_)
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            self._optimizer_eval(_cand_, self.p_list[0])
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            self._update_pos(_cand_, self.p_list[0])
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        return _cand_
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    def _init_iteration(self, _cand_):
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        p = super()._init_base_positioner(_cand_)
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        self._optimizer_eval(_cand_, p)
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        self._update_pos(_cand_, p)
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        return p
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