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Create python generator files for gsm symbolic templates
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reasoning_gym/arithmetic/gsm_symbolic/generator_8.py
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reasoning_gym/arithmetic/gsm_symbolic/generator_8.py
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from random import Random
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from typing import Dict, Any
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def generate_from_variables(name: str, drink: str, sugar_ratio: int, water_ratio: int,
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total_items: int) -> Dict[str, Any]:
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total_ratio = sugar_ratio + water_ratio
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sugar_amount = (sugar_ratio * total_items) // total_ratio
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question = f"{name} makes {drink} using teaspoons of sugar and cups of water in the ratio of {sugar_ratio}:{water_ratio}. If she used a total of {total_items} teaspoons of sugar and cups of water, calculate the number of teaspoonfuls of sugar she used."
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answer_cot = f"The total ratio representing the ingredients she used to make the {drink} is {sugar_ratio}+{water_ratio} = {total_ratio}\nSince the fraction representing the number of teaspoons she used is {sugar_ratio}/{total_ratio}, she used {sugar_ratio}/{total_ratio}*{total_items} = {sugar_amount}\n#### {sugar_amount}"
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return {
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'question': question,
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'answer': str(sugar_amount),
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'answer_cot': answer_cot,
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'answer_value': sugar_amount,
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'variables': {
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'name': name,
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'drink': drink,
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'sugar_ratio': sugar_ratio,
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'water_ratio': water_ratio,
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'total_items': total_items,
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'sugar_amount': sugar_amount
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}
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}
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def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]:
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names_female = ['Emma', 'Olivia', 'Ava', 'Isabella', 'Sophia', 'Mia', 'Charlotte']
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drinks = ['coffee', 'tea']
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name = rng.choice(names_female)
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drink = rng.choice(drinks)
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sugar_ratio = int(rng.randint(25, int(201 * difficulty)))
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water_ratio = int(rng.randint(5, int(101 * difficulty)))
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# Ensure total is divisible by ratio sum
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total_ratio = sugar_ratio + water_ratio
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num_multiples = rng.randint(1, int(10 * difficulty))
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total_items = total_ratio * num_multiples
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result = generate_from_variables(name, drink, sugar_ratio, water_ratio, total_items)
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return {
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'question': result['question'],
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'answer': result['answer'],
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'metadata': {
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'difficulty': difficulty,
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'answer_value': result['answer_value'],
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'answer_cot': result['answer_cot'],
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'variables': result['variables']
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}
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}
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def original_example() -> Dict[str, Any]:
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return generate_from_variables("Katy", "coffee", 7, 13, 120)
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