mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-25 17:10:51 +00:00
58 lines
2.3 KiB
Python
58 lines
2.3 KiB
Python
from random import Random
|
|
from typing import Dict, Any
|
|
|
|
def generate_from_variables(name1: str, name2: str, mult: int, n: int) -> Dict[str, Any]:
|
|
n_mult = n * mult
|
|
daily_total = n + n_mult
|
|
weekly_total = daily_total * 7
|
|
|
|
question = f"{name1} operates the cash register exactly {mult} times as fast as her less-experienced colleague {name2}. Daily, {name2} processes {n} customers. What is the total weekly production for the two if they work all days of the week?"
|
|
|
|
answer_cot = f"While {name2} is processing {n} orders in a day, {name1} processes {n} orders/day * {mult} = {n_mult} orders/day.\n" \
|
|
f"In a day, they process {n_mult} orders/day + {n} orders/day = {daily_total} orders together.\n" \
|
|
f"The total number of orders the two processes in a week is {daily_total} orders/day * 7 days/week = {weekly_total} orders\n" \
|
|
f"#### {weekly_total}"
|
|
|
|
return {
|
|
'question': question,
|
|
'answer': str(weekly_total),
|
|
'answer_cot': answer_cot,
|
|
'answer_value': weekly_total,
|
|
'variables': {
|
|
'name1': name1,
|
|
'name2': name2,
|
|
'multiplier': mult,
|
|
'base_rate': n,
|
|
'fast_rate': n_mult,
|
|
'daily_total': daily_total,
|
|
'weekly_total': weekly_total
|
|
}
|
|
}
|
|
|
|
def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]:
|
|
names_female = ["Julie", "Sarah", "Emma", "Sophia", "Olivia", "Isabella", "Mia", "Charlotte"]
|
|
multi_times = [2, 3, 4]
|
|
|
|
name1, name2 = rng.sample(names_female, 2)
|
|
mult = rng.choice(multi_times)
|
|
n = int(rng.randint(30, int(100 * difficulty)))
|
|
|
|
# Ensure conditions are met
|
|
while not (n * mult).is_integer() or not ((n + n * mult) * 7).is_integer():
|
|
n = int(rng.randint(30, int(100 * difficulty)))
|
|
|
|
result = generate_from_variables(name1, name2, mult, n)
|
|
|
|
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("Julie", "Jewel", 2, 50)
|