code: def __repr__(self) -> str:
      kwargs = kwargs_repr(
          data=self.data, loader=self.loader, **self.kwargs
      )
      return f"{self.__class__.__name__}({kwargs})"
  
imports: import copy
  import inspect
  import warnings
  from typing import Any, Dict, Optional, Tuple, Type, Union
  import torch
  from torch_geometric.data import Data, Dataset, HeteroData
  from torch_geometric.loader import DataLoader, LinkLoader, NodeLoader
  from torch_geometric.sampler import BaseSampler, NeighborSampler
  from torch_geometric.typing import InputEdges, InputNodes, OptTensor
label_desc: Use image node_id 5 for calling the LightningData obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, kwargs, str