class_docstr: 对用户传的dataset进行封装，以便PaddleDataLoader能够支持使用自定义的dataset
class_docstr_tok: ["\u5bf9\u7528\u6237\u4f20\u7684dataset\u8fdb\u884c\u5c01\u88c5\uff0c\u4ee5\u4fbfPaddleDataLoader\u80fd\u591f\u652f\u6301\u4f7f\u7528\u81ea\u5b9a\u4e49\u7684dataset"]
code: def __setstate__(self, state):
      self.__dict__ = state
  
imports: from typing import Callable, List, Optional, Union, Dict, Sequence
  from copy import deepcopy
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
  from fastNLP.core.collators.collator import Collator
  from fastNLP.core.dataloaders.utils import indice_collate_wrapper
  from fastNLP.core.dataset import DataSet
  from fastNLP.core.samplers import ReproducibleBatchSampler, RandomBatchSampler
  from ..utils import _match_param, HasLenGetitemType
label_desc: Use image node_id 7 for calling the _PaddleDataset obj's underlying member method code with example usage: obj.__setstate__(state) without return types