U Mh@s6ddlZddlZddlmZdgZGdddeZdS)N) IterDataPipeIterableWrapperIterDataPipec@s*eZdZdZd ddZddZddZd S) ra 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] TcCs||_||_dSN)iterabledeepcopy)selfrrrW/var/www/html/venv/lib/python3.8/site-packages/torch/utils/data/datapipes/iter/utils.py__init__sz$IterableWrapperIterDataPipe.__init__ccsJ|j}|jrs