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22
white_noise.py
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22
white_noise.py
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from random import random
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import numpy as np
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from algorithm import algorithm
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import json
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class white_noise(algorithm):
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def __init__(self):
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self.config_dict_ = None
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self.config_ = None
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self.standard_deviation_base_ = 0.0
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def set_config(self, config):
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self.config_ = config
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self.config_dict_ = json.loads(self.config_)
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self.standard_deviation_base_ = self.config_dict_["WHITE_NOISE_STANDARD_DEVIATION_BASE"]
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def config(self):
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return self.config_
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def eval(self, value):
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return value + np.random.normal(loc=0.0, scale=self.standard_deviation_base_, size=None)
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