code: def kwargs_repr(**kwargs: Any) -> str:
      return ", ".join(
          [f"{k}={v}" for k, v in kwargs.items() if v is not None]
      )
  
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 2 for calling a global function with example usage: kwargs_repr() and returns: str