Я предоставлю вам несколько методов и примеры кода для создания набора вопросов новой модели 12 класса. Вот несколько вариантов:

1. Метод случайного выбора:
   Этот метод случайным образом выбирает вопросы из пула доступных вопросов. Вот пример на Python:

import random
def generate_question_set(num_questions, question_pool):
    selected_questions = random.sample(question_pool, num_questions)
    return selected_questions
# Usage example
question_pool = ['Question 1', 'Question 2', 'Question 3', 'Question 4', 'Question 5']
num_questions = 5
question_set = generate_question_set(num_questions, question_pool)
print(question_set)

2. Метод тематического распределения.
   Этот метод гарантирует, что сгенерированный набор вопросов сбалансированно охватывает различные темы. Вот пример:

def generate_question_set(topics, num_questions_per_topic, question_pool):
    selected_questions = []
    for topic in topics:
        topic_questions = [q for q in question_pool if q.topic == topic]
        if len(topic_questions) < num_questions_per_topic:
            # Handle the case where there are not enough questions for a topic
            continue
        selected_questions.extend(random.sample(topic_questions, num_questions_per_topic))
    return selected_questions
# Usage example
topics = ['Topic 1', 'Topic 2', 'Topic 3']
num_questions_per_topic = 2
question_pool = [
    Question('Question 1', 'Topic 1'),
    Question('Question 2', 'Topic 2'),
    Question('Question 3', 'Topic 3'),
    Question('Question 4', 'Topic 1'),
    Question('Question 5', 'Topic 2'),
    Question('Question 6', 'Topic 3')
]
question_set = generate_question_set(topics, num_questions_per_topic, question_pool)
print(question_set)

3. Метод уровня сложности.
   Этот метод генерирует вопросы на основе разных уровней сложности. Вот пример:

def generate_question_set(difficulty_levels, num_questions_per_level, question_pool):
    selected_questions = []
    for level in difficulty_levels:
        level_questions = [q for q in question_pool if q.difficulty == level]
        if len(level_questions) < num_questions_per_level:
            # Handle the case where there are not enough questions for a difficulty level
            continue
        selected_questions.extend(random.sample(level_questions, num_questions_per_level))
    return selected_questions
# Usage example
difficulty_levels = ['Easy', 'Medium', 'Hard']
num_questions_per_level = 2
question_pool = [
    Question('Question 1', 'Easy'),
    Question('Question 2', 'Medium'),
    Question('Question 3', 'Hard'),
    Question('Question 4', 'Easy'),
    Question('Question 5', 'Medium'),
    Question('Question 6', 'Hard')
]
question_set = generate_question_set(difficulty_levels, num_questions_per_level, question_pool)
print(question_set)