python-labs/TEMA9/M1.py

import math

def process_tuples(tuple1, tuple2):
    temp_list = []
    for item in tuple1:
        temp_list.append((item, 1))
    for item in tuple2:
        temp_list.append((item, 2))

    temp_list.sort(key=lambda x: x[0])

    sps1 = [item[0] for item in temp_list] 
    sps2 = [item[1] for item in temp_list] 

    return sps1, sps2

def calculate_stats(numeric_list):
    n = len(numeric_list)
    mean = sum(numeric_list) / n
  
    min_val = min(numeric_list)
    max_val = max(numeric_list)

   
    sorted_list = sorted(numeric_list)
    if n % 2 == 1:
        median = sorted_list[n // 2]
    else:
        median = (sorted_list[n // 2 - 1] + sorted_list[n // 2]) / 2
    if n <= 1: 
        std_dev = 0.0
    else:
        variance = sum((x - mean) ** 2 for x in numeric_list) / (n - 1)
        std_dev = math.sqrt(variance)

    return {
        "Среднее": mean,
        "Наименьшее": min_val,
        "Наибольшее": max_val,
        "Медиана": median,
        "Стандартное отклонение": std_dev
    }