A. Ну что там с деньгами?_2

import numpy as np
import calendar
from typing import Optional
from enum import Enum
from numbers import Real

class Strategies(Enum):
    BY_GOOD = "BY_GOOD"   # придумайте значение enum'а
    BY_MONTH = "BY_MONTH"  # придумайте значение enum'а

months_list = [calendar.month_name[i] for i in range(1, 13)]

class InconsistentDataError(Exception):
    pass

def get_most_profitable_month_name(
    amounts_of_sold_subscriptions: np.ndarray,
    subscriptions_prices: np.ndarray,
) -> str:
    if amounts_of_sold_subscriptions.shape[1] != subscriptions_prices.shape[1]:
        raise InconsistentDataError
    income = amounts_of_sold_subscriptions * subscriptions_prices
    sold_per_month = np.sum(income, axis = 1)
    max_id = np.argmax(sold_per_month)
    return months_list[max_id]


def get_mean_profit(
        amounts_of_sold_subscriptions: np.ndarray,
        subscriptions_prices: np.ndarray,
        strategy: Optional[Strategies] = None,
):
    if amounts_of_sold_subscriptions.shape[1] != subscriptions_prices.shape[1]:
        raise InconsistentDataError
    income = amounts_of_sold_subscriptions * subscriptions_prices
    income_per_month = np.sum(income, axis=1)
    income_per_year = np.sum(income_per_month)
    amounts_of_sold_subscriptions_per_month = np.sum(amounts_of_sold_subscriptions, axis = 1)
    amounts_of_sold_subscriptions_per_year = np.sum(amounts_of_sold_subscriptions_per_month)
    amounts_of_sold_subscriptions_per_service = np.sum(amounts_of_sold_subscriptions, axis = 0)
    income_per_servise_per_year = np.sum(income, axis = 0)
    res = None
    if strategy == None:
        res = income_per_year / amounts_of_sold_subscriptions_per_year
    elif strategy == Strategies.BY_GOOD:
        res = income_per_servise_per_year / amounts_of_sold_subscriptions_per_service
    elif strategy == Strategies.BY_MONTH:
        res = income_per_month / amounts_of_sold_subscriptions_per_month
    return res


def sort_month_names_by_profits(
    amounts_of_sold_subscriptions: np.ndarray,
    subscriptions_prices: np.ndarray,
    ascending: bool = True,
) -> list[str]:
    if amounts_of_sold_subscriptions.shape[1] != subscriptions_prices.shape[1]:
        raise InconsistentDataError
    income = amounts_of_sold_subscriptions * subscriptions_prices
    income_per_month = np.sum(income, axis=1)
    indices = np.argsort(income_per_month)
    res = months_list[indices]
    if not ascending:
        res = res[::-1]
    return res