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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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import collections |
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import numpy as np |
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def _check_objective_function(value): |
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if not isinstance(value, collections.Callable): |
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raise ValueError(r"objective_function must be callable") |
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def _check_function_parameter(value): |
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if not isinstance(value, dict): |
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raise ValueError(r"function_parameter must be of type dict") |
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def _check_search_space(value): |
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if not isinstance(value, dict): |
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raise ValueError(r"search_space must be of type dict") |
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def _check_memory(value): |
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memory_list = ["short", "long", False] |
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if value not in memory_list: |
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raise ValueError(r"memory must be 'short', 'long' or False") |
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def _check_optimizer(value): |
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if not isinstance(value, (dict, str)): |
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raise ValueError(r"optimizer must be of type dict or str") |
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def _check_n_iter(value): |
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if not isinstance(value, int): |
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raise ValueError(r"n_iter must be of type int") |
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def _check_n_jobs(value): |
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if not isinstance(value, int): |
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raise ValueError(r"n_jobs must be of type int") |
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def _check_init_para(value): |
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if not isinstance(value, list) and value is not None: |
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raise ValueError(r"init_para must be of type list or None") |
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def _check_distribution(value): |
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if not isinstance(value, dict) and value is not None: |
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raise ValueError(r"distribution must be of type dict or None") |
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arguments = { |
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"objective_function": _check_objective_function, |
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"function_parameter": _check_function_parameter, |
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"search_space": _check_search_space, |
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"memory": _check_memory, |
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"optimizer": _check_optimizer, |
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"n_iter": _check_n_iter, |
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"n_jobs": _check_n_jobs, |
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"init_para": _check_init_para, |
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"distribution": _check_distribution, |
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} |
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def check_kwargs(kwargs): |
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for keyword in kwargs: |
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if keyword not in arguments: |
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raise TypeError( |
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"add_search got an unexpected keyword argument " + str(keyword) |
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) |
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value = kwargs[keyword] |
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check_function = arguments[keyword] |
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check_function(value) |
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SimonBlanke /
Hyperactive
