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- from abc import ABC
- from abc import abstractmethod
- from typing import Iterator
- from typing import Tuple
- from torch.utils.data import Sampler
- class AbsSampler(Sampler, ABC):
- @abstractmethod
- def __len__(self) -> int:
- raise NotImplementedError
- @abstractmethod
- def __iter__(self) -> Iterator[Tuple[str, ...]]:
- raise NotImplementedError
- def generate(self, seed):
- return list(self)
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