o ॵi@sdddZdS)Fcs2fdd}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: >>> import paddle.fluid as fluid >>> def reader(): >>> for i in range(10): >>> yield i >>> batch_reader = fluid.io.batch(reader, batch_size=2) >>> for data in batch_reader(): >>> print(data) >>> # Output is >>> # [0, 1] >>> # [2, 3] >>> # [4, 5] >>> # [6, 7] >>> # [8, 9] c3s\}g}|D]}||t|kr|Vg}qdur*t|dkr,|VdSdSdS)NF)appendlen)rbinstance batch_size drop_lastreader\/home/ubuntu/.local/lib/python3.10/site-packages/modelscope/preprocessors/nlp/space/batch.py batch_reader's   zbatch..batch_readerrzDbatch_size should be a positive integer value, but got batch_size={})int ValueErrorformat)r rr r r rr batchs# rN)F)rr r r r s