sh<SSKrSSKrSSKJr S/r"SS\5rg)N) IterDataPipeIterableWrapperIterDataPipec.\rSrSrSrSSjrSrSrSrg) r a Wraps an iterable object to create an IterDataPipe. Args: iterable: Iterable object to be wrapped into an IterDataPipe deepcopy: Option to deepcopy input iterable object for each iterator. The copy is made when the first element is read in ``iter()``. .. note:: If ``deepcopy`` is explicitly set to ``False``, users should ensure that the data pipeline doesn't contain any in-place operations over the iterable instance to prevent data inconsistency across iterations. Example: >>> # xdoctest: +SKIP >>> from torchdata.datapipes.iter import IterableWrapper >>> dp = IterableWrapper(range(10)) >>> list(dp) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] cXlX lgN)iterabledeepcopy)selfr r s y/Users/tiagomarins/Projetos/claudeai/copy_bank/venv/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py__init__$IterableWrapperIterDataPipe.__init__!s   c## URnUR(a![R"UR5nUShvN g![a [R "S5 N-f=fN+7f)NzlThe input iterable can not be deepcopied, please be aware of in-place modification would affect source data.)r r copy TypeErrorwarningswarn)r source_datas r __iter__$IterableWrapperIterDataPipe.__iter__%s_mm == "mmDMM:    Y  s4A4 A A4A2A4 A/,A4.A//A4c,[UR5$r)lenr )r s r __len__#IterableWrapperIterDataPipe.__len__5s4==!!r)r r N)T) __name__ __module__ __qualname____firstlineno____doc__r rr__static_attributes__rr rr s*! "r)rr#torch.utils.data.datapipes.datapiper__all__rr"rr r%s$ < ) )+",+"r