SimonBlanke /
Hyperactive
| Conditions | 1 |
| Total Lines | 38 |
| Code Lines | 35 |
| Lines | 38 |
| Ratio | 100 % |
| Changes | 0 | ||
Methods with many parameters are not only hard to understand, but their parameters also often become inconsistent when you need more, or different data.
There are several approaches to avoid long parameter lists:
| 1 | # Author: Simon Blanke |
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| 14 | View Code Duplication | def __init__( |
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Duplication
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by
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| 15 | self, |
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| 16 | nth_process, |
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| 17 | verb, |
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| 18 | objective_function, |
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| 19 | search_space, |
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| 20 | n_iter, |
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| 21 | function_parameter, |
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| 22 | optimizer, |
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| 23 | n_jobs, |
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| 24 | init_para, |
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| 25 | memory, |
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| 26 | hyperactive, |
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| 27 | random_state, |
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| 28 | ): |
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| 29 | super().__init__( |
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| 30 | nth_process, |
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| 31 | verb, |
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| 32 | objective_function, |
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| 33 | search_space, |
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| 34 | n_iter, |
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| 35 | function_parameter, |
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| 36 | optimizer, |
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| 37 | n_jobs, |
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| 38 | init_para, |
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| 39 | memory, |
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| 40 | hyperactive, |
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| 41 | random_state, |
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| 42 | ) |
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| 43 | |||
| 44 | self.cand = CandidateShortMem( |
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| 45 | self.objective_function, |
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| 46 | self.function_parameter, |
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| 47 | self.search_space, |
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| 48 | self.init_para, |
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| 49 | self.memory, |
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| 50 | verb, |
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| 51 | hyperactive, |
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| 52 | ) |
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| 54 |
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