qbahn /
grortir
| Total Complexity | 8 |
| Total Lines | 40 |
| Duplicated Lines | 0 % |
| Coverage | 100% |
| Changes | 1 | ||
| Bugs | 0 | Features | 0 |
| 1 | """Represents optimization strategy for group in PSO.""" |
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| 8 | 1 | class CallsGroupOptimizationStrategy(GroupOptimizationStrategy): |
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| 9 | """Represents optimization strategy for group in PSO.""" |
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| 10 | |||
| 11 | 1 | def __init__(self, stages_in_group): |
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| 12 | 1 | self.stages_in_group = stages_in_group |
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| 13 | 1 | self.max_cost = 0 |
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| 14 | 1 | self.expected_quality = np.inf |
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| 15 | |||
| 16 | 1 | def initialize(self): |
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| 17 | """ |
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| 18 | Initialize strategy. |
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| 19 | """ |
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| 20 | 1 | max_cost = 0 |
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| 21 | 1 | for stage in self.stages_in_group: |
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| 22 | 1 | max_cost += stage.max_calls |
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| 23 | 1 | if self.expected_quality > stage.maximum_acceptable_quality: |
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| 24 | 1 | self.expected_quality = stage.maximum_acceptable_quality |
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| 25 | 1 | self.max_cost = max_cost |
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| 26 | |||
| 27 | 1 | def should_continue(self, best_particle): |
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| 28 | """ |
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| 29 | |||
| 30 | Args: |
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| 31 | best_particle Particle: best particle in swarm. |
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| 32 | |||
| 33 | Returns: |
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| 34 | bool: true if continuation is required. |
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| 35 | |||
| 36 | """ |
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| 37 | 1 | return self._is_safe_cost() and not self._is_enough_quality( |
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| 38 | best_particle) |
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| 39 | |||
| 40 | 1 | def _is_safe_cost(self): |
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| 41 | 1 | current_cost = 0 |
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| 42 | 1 | for stage in self.stages_in_group: |
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| 43 | 1 | current_cost += stage.get_cost() |
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| 44 | 1 | return current_cost < self.max_cost |
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| 45 | |||
| 46 | 1 | def _is_enough_quality(self, best_particle): |
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| 47 | return best_particle.best_quality <= self.expected_quality |
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| 48 |
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