import numpy as np


def train_ml_squarer() -> None:
    print("Training!")


def square() -> int:
    """Square a number...maybe"""
    return np.random.randint(1, 100)


if __name__ == '__main__':
    train_ml_squarer()
[(10, 'numpy.random.randint', 'np.random.randint', (['(1)', '(100)'], {}), True, 'import numpy as np\n')]