SimonBlanke /
Hyperactive
| Conditions | 6 |
| Total Lines | 65 |
| Code Lines | 47 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
| 1 | # Author: Simon Blanke |
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| 39 | def __init__(self, nth_process, _main_args_, _info_): |
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| 40 | self.start_time = time.time() |
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| 41 | self.i = 0 |
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| 42 | self._main_args_ = _main_args_ |
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| 43 | self.memory = _main_args_.memory |
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| 44 | |||
| 45 | self.memory_dict = {} |
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| 46 | self.memory_dict_new = {} |
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| 47 | |||
| 48 | self._info_ = _info_() |
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| 49 | |||
| 50 | self._score_best = -np.inf |
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| 51 | self.pos_best = None |
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| 52 | self.model = None |
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| 53 | |||
| 54 | self.nth_process = nth_process |
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| 55 | model_nr = nth_process % _main_args_.n_models |
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| 56 | self.func_ = list(_main_args_.search_config.keys())[model_nr] |
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| 57 | self.search_space = _main_args_.search_config[self.func_] |
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| 58 | |||
| 59 | self._space_ = SearchSpace(_main_args_, model_nr) |
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| 60 | self.func_name = str(self.func_).split(" ")[1] |
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| 61 | self._model_ = Model(self.func_, nth_process, _main_args_) |
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| 62 | self._init_ = InitSearchPosition(self._space_, self._model_, _main_args_) |
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| 63 | |||
| 64 | self.eval_time = [] |
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| 65 | self.iter_times = [] |
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| 66 | |||
| 67 | if not self.memory: |
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| 68 | self.mem = None |
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| 69 | self.eval_pos = self.eval_pos_noMem |
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| 70 | |||
| 71 | self._init_eval() |
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| 72 | |||
| 73 | elif self.memory == "short": |
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| 74 | self.mem = None |
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| 75 | self.eval_pos = self.eval_pos_Mem |
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| 76 | |||
| 77 | self._init_eval() |
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| 78 | |||
| 79 | elif self.memory == "long": |
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| 80 | self.mem = Hypermemory( |
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| 81 | _main_args_.X, |
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| 82 | _main_args_.y, |
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| 83 | self.func_, |
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| 84 | self.search_space, |
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| 85 | path=meta_data_path(), |
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| 86 | ) |
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| 87 | self.eval_pos = self.eval_pos_Mem |
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| 88 | |||
| 89 | self.memory_dict = self.mem.load() |
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| 90 | |||
| 91 | else: |
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| 92 | print("Warning: Memory not defined") |
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| 93 | self.mem = None |
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| 94 | self.eval_pos = self.eval_pos_noMem |
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| 95 | |||
| 96 | self._init_eval() |
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| 97 | |||
| 98 | if self.mem: |
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| 99 | if self.mem.meta_data_found: |
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| 100 | self.pos_best = self.mem.pos_best |
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| 101 | self.score_best = self.mem.score_best |
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| 102 | else: |
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| 103 | self._init_eval() |
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| 104 | |||
| 154 |
