reasoning-gym/reasoning_gym/logic/zebra_puzzles.py
2025-02-03 16:47:29 +01:00

78 lines
2.4 KiB
Python

from dataclasses import dataclass
from random import Random, seed
from typing import Dict, List, Optional, Tuple
from ..factory import ProceduralDataset, register_dataset
from .contrib.logic_puzzle.generate import generate_puzzle
@dataclass
class ZebraConfig:
"""Configuration for zebra puzzle generation"""
num_people: int = 4
num_characteristics: int = 4
seed: Optional[int] = None
size: int = 500
def validate(self):
"""Validate configuration parameters"""
assert 2 <= self.num_people <= 7, "num_people must be between 2 and 7"
assert 2 <= self.num_characteristics <= 7, "num_characteristics must be between 2 and 7"
class ZebraDataset(ProceduralDataset):
"""Generates [Zebra Puzzles](https://en.wikipedia.org/wiki/Zebra_Puzzle) with configurable parameters"""
def __init__(self, config: ZebraConfig):
super().__init__(config=config, seed=config.seed, size=config.size)
def __getitem__(self, idx: int) -> dict:
"""Generate a single Zebra task
Returns:
dict with keys:
- question: str, the task description
- answer: str, a solution string
- metadata: dict with generation parameters
"""
seed(self.seed + idx)
K = self.config.num_people
M = self.config.num_characteristics
instance, puzzle = generate_puzzle(K, M, "train")
q = instance["questions"][0]["question"]
answer = instance["questions"][0]["answer"]
question = str(puzzle) + "\n" + q
return {
"question": question,
"answer": answer,
"metadata": {
"num_people": K,
"num_characteristics": M,
},
}
def score_answer(self, answer: Optional[str], entry: Dict[str, any]) -> float:
"""Determine if the solution provided solves the Zebra task.
The function awards 1.0 for a correct answer.
Args:
answer (Optional[str]): The user's answer.
entry (Dict[str, any]): The original dataset entry containing the correct answer.
Returns:
float: The computed score between 0.0 and 1.0.
"""
if answer == None:
return 0.0
if answer.lower().replace("\n", "") != entry["answer"].lower().replace("\n", ""):
return 0.01
else:
return 1.0 # Yay
register_dataset("zebra_puzzles", ZebraDataset, ZebraConfig)