U <c @sddlmZddlmZmZmZddlmZddlm Z ddl m Z m Z ddgZ edGd dde eeefZGd dde eeefZd S) )IOBase)IterableTupleOptional)functional_datapipe) IterDataPipe) get_file_binaries_from_pathnames_deprecation_warningFileOpenerIterDataPipeFileLoaderIterDataPipeZ open_filescsFeZdZdZd eeeeeedfdd Zdd Z d d Z Z S) r aL Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``). Args: datapipe: Iterable datapipe that provides pathnames mode: An optional string that specifies the mode in which the file is opened by ``open()``. It defaults to ``r``, other options are ``b`` for reading in binary mode and ``t`` for text mode. encoding: An optional string that specifies the encoding of the underlying file. It defaults to ``None`` to match the default encoding of ``open``. length: Nominal length of the datapipe Note: The opened file handles will be closed by Python's GC periodically. Users can choose to close them explicitly. Example: >>> # xdoctest: +SKIP >>> from torchdata.datapipes.iter import FileLister, FileOpener, StreamReader >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith('.txt')) >>> dp = FileOpener(dp) >>> dp = StreamReader(dp) >>> list(dp) [('./abc.txt', 'abc')] rN)datapipemodeencodinglengthcsVt||_||_||_|jdkr4td|d|krL|dk rLtd||_dS)N)btrbrtr zInvalid mode {}rz-binary mode doesn't take an encoding argument)super__init__rrr ValueErrorformatr)selfrrrr __class__N/tmp/pip-unpacked-wheel-gikjz4vx/torch/utils/data/datapipes/iter/fileopener.pyr+s  zFileOpenerIterDataPipe.__init__ccst|j|j|jEdHdS)N)rrrrrrrr__iter__CszFileOpenerIterDataPipe.__iter__cCs$|jdkrtdt|j|jS)Nr z%{} instance doesn't have valid length)r TypeErrorrtype__name__rrrr__len__Fs zFileOpenerIterDataPipe.__len__)r Nr ) r# __module__ __qualname____doc__rstrrintrr r$ __classcell__rrrrr sc@s$eZdZdeeeedddZdS)r rr rrrcCs t|jddddt|||dS)Nz1.12z1.13Z FileOpener)Zdeprecation_versionZremoval_versionZnew_class_namer+)r r#r )clsrrrrrr__new__NszFileLoaderIterDataPipe.__new__N)rr )r#r%r&rr(r)r-rrrrr LsN)iortypingrrrZ%torch.utils.data.datapipes._decoratorrZ#torch.utils.data.datapipes.datapiperZ'torch.utils.data.datapipes.utils.commonrr __all__r(r r rrrrs   =