from sklearn.preprocessing import OneHotEncoder
N_VALUE = 10


def get_one_hot():
    enc = OneHotEncoder(n_values=[N_VALUE, N_VALUE, N_VALUE, N_VALUE,
        N_VALUE, N_VALUE])
    return enc

74bfa5cfd32541cc757ff1646ab2457c84d4b389
<mask token>

<mask token>


def get_one_hot():
    enc = OneHotEncoder(n_values=[N_VALUE, N_VALUE, N_VALUE, N_VALUE,
        N_VALUE, N_VALUE])
    return enc

<mask token>
N_VALUE = 10


def get_one_hot():
    enc = OneHotEncoder(n_values=[N_VALUE, N_VALUE, N_VALUE, N_VALUE,
        N_VALUE, N_VALUE])
    return enc

from sklearn.preprocessing import OneHotEncoder
N_VALUE = 10


def get_one_hot():
    enc = OneHotEncoder(n_values=[N_VALUE, N_VALUE, N_VALUE, N_VALUE,
        N_VALUE, N_VALUE])
    return enc
