o ah @sNddlmZddlmZmZmZerddlmZedZgZ ddddZ dS)) annotations) TYPE_CHECKINGCallableTypeVar) Generator_TFreader'Callable[[], Generator[_T, None, None]] batch_sizeint drop_lastboolreturn-Callable[[], Generator[list[_T], None, None]]cs2fdd}tdkrtd|S)a This operator creates a batched reader which combines the data from the input reader to batched data. Args: reader(generator): the data reader to read from. batch_size(int): size of each mini-batch. drop_last(bool, optional): If set to True, the last batch is dropped when the size of last batch is not equal to batch_size, if set to False, it will not. Default: False. Returns: The batched reader. Return Type: generator Examples: .. code-block:: python >>> import paddle >>> def reader(): ... for i in range(10): ... yield i >>> batch_reader = paddle.batch(reader, batch_size=2) >>> for data in batch_reader(): ... print(data) ... [0, 1] [2, 3] [4, 5] [6, 7] [8, 9] c3s\}g}|D]}||t|kr|Vg}qdur*t|dkr,|VdSdSdS)NFr)appendlen)rbinstancer r r7/usr/local/lib/python3.10/dist-packages/paddle/batch.py batch_readerBs   zbatch..batch_readerrzBbatch_size should be a positive integer value, but got batch_size=)r ValueError)rr r rrrrbatchs( rN)F)rr r r r r rr) __future__rtypingrrrcollections.abcrr__all__rrrrrs