С T°Хh'ЦС<∙SSKrSSKrSSKJr S/r"SS\5rg)ИN)зMapDataPipeзSequenceWrapperMapDataPipecС.∙\rSrSrSrSSjrSrSrSrg) rИa╙ Wraps a sequence object into a MapDataPipe. Args: sequence: Sequence object to be wrapped into an MapDataPipe deepcopy: Option to deepcopy input sequence object .. note:: If ``deepcopy`` is set to False explicitly, users should ensure that data pipeline doesn't contain any in-place operations over the iterable instance, in order to prevent data inconsistency across iterations. Example: >>> # xdoctest: +SKIP >>> from torchdata.datapipes.map import SequenceWrapper >>> dp = SequenceWrapper(range(10)) >>> list(dp) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> dp = SequenceWrapper({'a': 100, 'b': 200, 'c': 300, 'd': 400}) >>> dp['a'] 100 cС╟∙U(a[R"U5UlgXlg![a [R "S5 Xlgf=f)NzkThe input sequence can not be deepcopied, please be aware of in-place modification would affect source data)зcopyзdeepcopyзsequenceз TypeErrorзwarningsзwarn)зselfr r s з^/var/www/fran/franai/venv/lib/python3.13/site-packages/torch/utils/data/datapipes/map/utils.pyз__init__з#SequenceWrapperMapDataPipe.__init__$sK─чП )э $ї ╒ ╗hс 7░∙ П%█MЬТС )э≈ ▓ ПXТП!)√ П )Зs┴,╛&AаAcС ∙URU$╘N╘r )rзindexs rз__getitem__з&SequenceWrapperMapDataPipe.__getitem__1s─ь▐}┴}≤Uя#п#СcС,∙[UR5$r)зlenr )rs rз__len__з"SequenceWrapperMapDataPipe.__len__4s─э░4≈=▒=с!п!rrN)T) з__name__з __module__з__qualname__з__firstlineno__з__doc__rrrз__static_attributes__╘rrrrs├ЯТ0%Р$У"r)rrз#torch.utils.data.datapipes.datapiperз__all__rr#rrзr&s$ПЦшЕ;П(п (─Т*"═У*"r