from random import Random from typing import Dict, Any import math def generate_from_variables(name: str, food: str, peel_rate: int, batch_size: int, time_per_batch: int, total_amount: int) -> Dict[str, Any]: peel_time = total_amount // peel_rate num_batches = total_amount // batch_size cook_time = num_batches * time_per_batch total_time = peel_time + cook_time question = f"{name} can peel {peel_rate} {food}s a minute and saute {batch_size} {food}s in {time_per_batch} minutes. How long will it take her to peel and saute {total_amount} {food}s?" answer_cot = f"First find how long it takes {name} to peel the {food}: {total_amount} {food} / {peel_rate} {food}/minute = {peel_time} minutes\n" \ f"Then find how many batches of {food} she needs to cook: {total_amount} {food} / {batch_size} {food}/batch = {num_batches} batches\n" \ f"Then multiply the number of batches by the time per batch to find the total cook time: {num_batches} batches * {time_per_batch} minutes/batch = {cook_time} minutes\n" \ f"Then add the peeling time to find the total time {name} spends: {cook_time} minutes + {peel_time} minutes = {total_time} minutes\n" \ f"#### {total_time}" return { 'question': question, 'answer': str(total_time), 'answer_cot': answer_cot, 'answer_value': total_time, 'variables': { 'name': name, 'food': food, 'peel_rate': peel_rate, 'batch_size': batch_size, 'time_per_batch': time_per_batch, 'total_amount': total_amount, 'peel_time': peel_time, 'cook_time': cook_time } } def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]: names_female = ["Emily", "Sarah", "Emma", "Sophia", "Olivia", "Ava", "Isabella", "Mia"] foods = ["shrimp", "onion", "carrot", "mushroom", "clam"] name = rng.choice(names_female) food = rng.choice(foods) peel_rate = int(rng.randint(4, int(15 * difficulty))) batch_size = int(rng.randrange(20, int(50 * difficulty), 5)) time_per_batch = int(rng.randint(5, int(20 * difficulty))) # Ensure total is divisible by both peel_rate and batch_size lcm = peel_rate * batch_size // math.gcd(peel_rate, batch_size) num_lcm = rng.randint(1, int(4 * difficulty)) total_amount = lcm * num_lcm result = generate_from_variables(name, food, peel_rate, batch_size, time_per_batch, total_amount) return { 'question': result['question'], 'answer': result['answer'], 'metadata': { 'difficulty': difficulty, 'answer_value': result['answer_value'], 'answer_cot': result['answer_cot'], 'variables': result['variables'] } } def original_example() -> Dict[str, Any]: return generate_from_variables("Emily", "shrimp", 6, 30, 10, 90)