import numpy as np


def normalize(inputs):
    data = np.array(inputs)
    maximum = data.max()
    minimum = data.min()
    out = (data - minimum) / (maximum - minimum)
    return out

67f67d0e07c52fcc95fe86882f06d8da11876dcd
<mask token>

<mask token>


def normalize(inputs):
    data = np.array(inputs)
    maximum = data.max()
    minimum = data.min()
    out = (data - minimum) / (maximum - minimum)
    return out

import numpy as np


def normalize(inputs):
    data = np.array(inputs)
    maximum = data.max()
    minimum = data.min()
    out = (data - minimum) / (maximum - minimum)
    return out
