U <ºcyã@sRddlmZddlmZddlmZdgZedƒGdd„deeeefƒƒZ dS)é)ÚTuple)Úfunctional_datapipe)ÚIterDataPipeÚStreamReaderIterDataPipeZread_from_streamc@s"eZdZdZddd„Zdd„ZdS)raÒ Given IO streams and their label names, yields bytes with label name in a tuple (functional name: ``read_from_stream``). Args: datapipe: Iterable DataPipe provides label/URL and byte stream chunk: Number of bytes to be read from stream per iteration. If ``None``, all bytes will be read util the EOF. Example: >>> # xdoctest: +SKIP >>> from torchdata.datapipes.iter import IterableWrapper, StreamReader >>> from io import StringIO >>> dp = IterableWrapper([("alphabet", StringIO("abcde"))]) >>> list(StreamReader(dp, chunk=1)) [('alphabet', 'a'), ('alphabet', 'b'), ('alphabet', 'c'), ('alphabet', 'd'), ('alphabet', 'e')] NcCs||_||_dS©N)ÚdatapipeÚchunk)Úselfrr©r úP/tmp/pip-unpacked-wheel-gikjz4vx/torch/utils/data/datapipes/iter/streamreader.pyÚ__init__sz!StreamReaderIterDataPipe.__init__ccs:|jD].\}}| |j¡}|s(| ¡q||fVqqdSr)rÚreadrÚclose)r ZfurlÚstreamÚdr r rÚ__iter__sz!StreamReaderIterDataPipe.__iter__)N)Ú__name__Ú __module__Ú__qualname__Ú__doc__rrr r r rrs N) ÚtypingrZ%torch.utils.data.datapipes._decoratorrZ#torch.utils.data.datapipes.datapiperÚ__all__ÚstrÚbytesrr r r rÚs