refactor: Inherit PrimeFactorizationDataset from ProceduralDataset base class

This commit is contained in:
Andreas Koepf (aider) 2025-01-24 09:59:08 +01:00
parent d1296630b4
commit 4932b04106

View file

@ -2,6 +2,7 @@
from dataclasses import dataclass
from random import Random
from typing import List, Optional, Tuple
from ..dataset import ProceduralDataset
@dataclass
class PrimeFactorizationConfig:
@ -17,27 +18,13 @@ class PrimeFactorizationConfig:
assert self.max_value >= self.min_value, "max_value must be >= min_value"
class PrimeFactorizationDataset:
class PrimeFactorizationDataset(ProceduralDataset):
"""Generates prime factorization tasks"""
def __init__(self, config: PrimeFactorizationConfig):
self.config = config
self.config.validate()
self.seed = config.seed if config.seed is not None else Random().randint(0, 2**32)
def __len__(self) -> int:
return self.config.size
def __iter__(self):
self._current_idx = 0
return self
def __next__(self):
if self._current_idx >= self.config.size:
raise StopIteration
item = self[self._current_idx]
self._current_idx += 1
return item
super().__init__(seed=config.seed, size=config.size)
def _prime_factors(self, n: int) -> List[int]:
"""Compute prime factors of a number"""