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from typing import Any, Iterator, TypeVar
T = TypeVar('T')
# These are only mock implementations when torch is not available
# In real usage, they will be imported from torch.utils.data
class IterableDataset:
def __iter__(self) -> Iterator[Any]: ...
class DataLoader:
def __init__(self, *args: Any, **kwargs: Any) -> None: ...
def __iter__(self) -> Iterator[Any]: ...
# Mock implementation of TorchTensor when torch is not available
class TorchTensor:
shape: tuple
def __init__(self, *args: Any, **kwargs: Any) -> None: ...