src/datasets/iterable_dataset.py [1589:1612]:
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    def __init__(
        self,
        ex_iterable: _BaseExamplesIterable,
        n: int,
        block_sources_order_when_shuffling: bool = True,
        split_when_sharding: bool = True,
    ):
        super().__init__()
        self.ex_iterable = ex_iterable
        self.n = n
        self.block_sources_order_when_shuffling = block_sources_order_when_shuffling
        self.split_when_sharding = split_when_sharding
        # TODO(QL): implement iter_arrow

    @property
    def is_typed(self):
        return self.ex_iterable.is_typed

    @property
    def features(self):
        return self.ex_iterable.features

    def _init_state_dict(self) -> dict:
        self._state_dict = {
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src/datasets/iterable_dataset.py [1713:1736]:
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    def __init__(
        self,
        ex_iterable: _BaseExamplesIterable,
        n: int,
        block_sources_order_when_shuffling: bool = True,
        split_when_sharding: bool = True,
    ):
        super().__init__()
        self.ex_iterable = ex_iterable
        self.n = n
        self.block_sources_order_when_shuffling = block_sources_order_when_shuffling
        self.split_when_sharding = split_when_sharding
        # TODO(QL): implement iter_arrow

    @property
    def is_typed(self):
        return self.ex_iterable.is_typed

    @property
    def features(self):
        return self.ex_iterable.features

    def _init_state_dict(self) -> dict:
        self._state_dict = {
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