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pass config to ProceduralDataset base

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This commit is contained in:
Andreas Koepf 2025-01-25 00:23:05 +01:00
parent df2b8d2809
commit e9549f2a63
20 changed files with 45 additions and 80 deletions
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6
reasoning_gym/arithmetic/prime_factorization.py
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@ -16,7 +16,7 @@ class PrimeFactorizationConfig:
seed: Optional[int] = None
size: int = 500 # Virtual dataset size
def validate(self):
def validate(self) -> None:
"""Validate configuration parameters"""
assert self.min_value >= 2, "min_value must be >= 2"
assert self.max_value >= self.min_value, "max_value must be >= min_value"
@ -26,9 +26,7 @@ class PrimeFactorizationDataset(ProceduralDataset):
"""Generates prime factorization tasks"""
def __init__(self, config: PrimeFactorizationConfig):
self.config = config
self.config.validate()
super().__init__(seed=config.seed, size=config.size)
super().__init__(config=config, seed=config.seed, size=config.size)
def _prime_factors(self, n: int) -> List[int]:
"""Compute prime factors of a number"""