import numpy as np
from scipy.stats import norm


class PreferenceExpectedImprovement:
    def __init__(self, nr_samples, upper_bound, lower_bound, nr_dims=2):

        self.nr_samples = nr_samples
        self.upper_bound = upper_bound
        self.lower_bound = lower_bound

        self.user_model = None
        self.proposal_model_mean = np.array()

    def initialize(self):
        pass

    def rejection_sampling(self):
        pass

    def expected_improvement(self):
        pass

    def update_user_preference_model(self):
        pass

    def update_proposal_model(self):
        pass