B. Ложь, Наглая ложь и Статистика

import time

from typing import Callable, TypeVar
from functools import wraps

T = TypeVar("T")

def is_floats_eq(lhs: float, rhs: float, eps: float = 1e-6) -> bool:
    return abs(lhs - rhs) < eps

def collect_statistic(
    statistics: dict[str, list[float, int]]
) -> Callable[[T], T]:
    def recycle(func):
        nonlocal statistics
        @wraps(func)
        def wrapper(*args, **kwargs):
            start = time.time()
            res = func()
            end = time.time()
            #print("check")
            #print("func", func.__name__)
            if func.__name__ not in statistics.keys():
                #print("zero")
                statistics[func.__name__] = [0.0, 0]
            #print("check done")
            n = statistics[func.__name__][1]
            statistics[func.__name__][1] += 1
            statistics[func.__name__][0] = (statistics[func.__name__][0] * n  +  end - start) / (n + 1)
            #print("statistics", statistics)
            #print()
            return res
        return wrapper
    return recycle

statistics: list[str, list[float, int]] = {}
#сверху или снизу?

@collect_statistic(statistics)
def func1() -> None:
    time.sleep(2)
    #print(statistics)


@collect_statistic(statistics)
def func2() -> None:
    time.sleep(1)
    #print(statistics)

#print("func1")
for i in range(3):
    func1()

#print()
#print("func2")
for i in range(6):
    func2()

eps = 1e-2

assert statistics[func1.__name__][1] == 3
assert statistics[func2.__name__][1] == 6
assert is_floats_eq(statistics[func1.__name__][0], 2, eps)
assert is_floats_eq(statistics[func2.__name__][0], 1, eps)