A. Долой Python!

import numpy as np

def sum_arrays_vectorized(
    lhs: np.ndarray,
    rhs: np.ndarray,
) -> np.ndarray:
    # ваш код
    if np.shape(lhs) != np.shape(rhs):
        raise ValueError("ShapeMismatchError")
    return lhs + rhs


def f(x):
    return 3 * x ** 2 + 2 * x + 1


def compute_poly_vectorized(abscissa: np.ndarray) -> np.ndarray:
    return f(abscissa)

def get_mutual_l2_distances_vectorized(
    lhs: np.ndarray,
    rhs: np.ndarray,
) -> np.ndarray:
    res = np.sqrt(np.sum( (lhs[:, np.newaxis, :] - rhs[np.newaxis, :, :]) ** 2, axis = 2 ))
    return res