
    Ǆg              	       j    d dl mZ d dlmZ d dlmZ dgZ ed       G d deeeef                   Z	y)    )Tuple)functional_datapipe)IterDataPipeStreamReaderIterDataPiperead_from_streamc                       e Zd ZdZddZd Zy)r   a  
    Given IO streams and their label names, yield bytes with label name as 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 until 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')]
    Nc                      || _         || _        y N)datapipechunk)selfr   r   s      t/home/mcse/projects/flask_80/flask-venv/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py__init__z!StreamReaderIterDataPipe.__init__    s     
    c              #      K   | j                   D ]:  \  }}	 |j                  | j                        }|s|j                          5||f 5 y wr
   )r   readr   close)r   furlstreamds       r   __iter__z!StreamReaderIterDataPipe.__iter__$   sO      MM 	 LD&KK

+LLNQi 	 s   AAr
   )__name__
__module____qualname____doc__r   r    r   r   r   r      s    & r   N)
typingr   %torch.utils.data.datapipes._decoratorr   #torch.utils.data.datapipes.datapiper   __all__strbytesr   r   r   r   <module>r#      sG     E < &
& '( |E#u*,=>   ) r   