@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class DictablePet(Pet):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class Unserializable:
    def __iter__(self):
        raise NotImplementedError()

    @property
    def __dict__(self):

        files.
*   Eager Execution:
    *   With eager execution Datasets can now be used as standard python
        iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and
        `Dataset.make_one_shot_iterator()` can now be used to create iterators
        when eager execution is enabled.
    *   Automatic device placement has been enabled (i.e., use a GPU if