import numpy as np
from sklearn import clone
from sklearn.base import BaseEstimator


def clone_fit(c_model: BaseEstimator, data, labels):
    c_model2 = clone(c_model)
    c_model2.fit(data, labels)
    return c_model2

def get_score(pred1, pred2, labels):
    return np.mean((pred1 == labels).astype(int) - (pred2 == labels).astype(int))