qbahn /
grortir
| Total Complexity | 3 |
| Total Lines | 23 |
| Duplicated Lines | 0 % |
| Coverage | 100% |
| Changes | 1 | ||
| Bugs | 0 | Features | 0 |
| 1 | """Contain PsoAlgorithm.""" |
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| 7 | 1 | class PsoAlgorithm: |
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| 8 | """Optimize process with different strategies.""" |
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| 9 | |||
| 10 | 1 | def __init__(self, process, grouping_strategy, optimization_startegy, |
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| 11 | number_of_particle=40): |
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| 12 | 1 | self.process = process |
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| 13 | 1 | self.grouping_strategy = grouping_strategy |
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| 14 | 1 | self.optimization_strategy = optimization_startegy |
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| 15 | 1 | self.process_validator = ProcessValidator() |
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| 16 | 1 | self.whole_group_pso = WholeGroupPso(self.process, number_of_particle) |
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| 17 | |||
| 18 | 1 | def run(self): |
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| 19 | """Run algorithm.""" |
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| 20 | 1 | self.process_validator.validate(self.process) |
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| 21 | 1 | self.process.optimizationStatus = OptimizationStatus.in_progress |
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| 22 | 1 | number_of_groups = self.grouping_strategy.get_actual_numbers_of_groups() |
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| 23 | 1 | for current_group_number in range(number_of_groups): |
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| 24 | 1 | current_stages = self.grouping_strategy.get_items_from_group( |
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| 25 | current_group_number) |
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| 26 | 1 | group_optimization_strategy = self.optimization_strategy. \ |
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| 27 | get_group_optimization_strategy(current_stages) |
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| 28 | 1 | self.whole_group_pso.optimize(current_stages, |
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| 29 | group_optimization_strategy) |
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| 30 |
