import pickle


def load_normalization(model):
	"""
	model a string containing the model name.
	it returns  (x_mean, x_std, y_mean, y_std)
	"""
	loaded = pickle.load( open( "/home/yousof/courses/cs294_DeepRL/hw1/expert_data/"+
		model+"_normalization.pkl", "rb" ) )
	return (loaded["x_mean"],loaded["x_std"],loaded["y_mean"],loaded["y_std"])