qbahn /
grortir
| Total Complexity | 3 |
| Total Lines | 24 |
| Duplicated Lines | 0 % |
| Coverage | 100% |
| Changes | 1 | ||
| Bugs | 0 | Features | 0 |
| 1 | """Contains WholeGroupPso class.""" |
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| 6 | 1 | class WholeGroupPso(object): |
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| 7 | """Optimize whole group.""" |
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| 8 | |||
| 9 | 1 | def __init__(self, process, number_of_particles): |
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| 10 | 1 | self.process = process |
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| 11 | 1 | self.number_of_particles = number_of_particles |
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| 12 | |||
| 13 | 1 | def optimize(self, ordered_stages_to_optimize, group_optimization_strategy): |
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| 14 | """Optimize whole group of stages. |
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| 15 | |||
| 16 | Parameters: |
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| 17 | group_optimization_strategy (GroupOptimizationStrategy): |
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| 18 | strategy for optimizing groups |
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| 19 | ordered_stages_to_optimize (list): List of stages which need |
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| 20 | to be optimized |
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| 21 | """ |
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| 22 | 1 | swarm = Swarm(self.process, ordered_stages_to_optimize, |
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| 23 | self.number_of_particles) |
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| 24 | 1 | swarm.initialize() |
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| 25 | 1 | group_optimization_strategy.initialize() |
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| 26 | 1 | while group_optimization_strategy.should_continue(swarm.best_particle): |
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| 27 | 1 | swarm.do_single_iteration() |
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| 28 | 1 | swarm.post_processing() |
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| 29 | print("Optimization for group finished.") |
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| 30 |
