code: def test_type_repr() -> None:
      inspector = Inspector(SAGEConv)
  
      assert inspector.type_repr(Any) == "typing.Any"
      assert inspector.type_repr(Final) == "typing.Final"
      assert inspector.type_repr(OptPairTensor) == (
          "Tuple[Tensor, Optional[Tensor]]"
      )
      assert inspector.type_repr(Final[Optional[Tensor]]) == (
          "typing.Final[Optional[Tensor]]"
      )
      assert (
          inspector.type_repr(Union[None, Tensor]) == "Optional[Tensor]"
      )
      assert inspector.type_repr(Optional[Tensor]) == "Optional[Tensor]"
      assert inspector.type_repr(Set[Tensor]) == "typing.Set[Tensor]"
      assert inspector.type_repr(List) == "List"
      assert inspector.type_repr(Tuple) == "Tuple"
      assert inspector.type_repr(Set) == "typing.Set"
      assert inspector.type_repr(Dict) == "typing.Dict"
      assert inspector.type_repr(
          Dict[str, Tuple[Tensor, Tensor]]
      ) == (  #
          "typing.Dict[str, Tuple[Tensor, Tensor]]"
      )
      assert inspector.type_repr(Tuple[int, ...]) == "Tuple[int, ...]"
      assert inspector.type_repr(Union[int, str, None]) == (  #
          "Union[int, str, None]"
      )
  
file_path: pytorch_geometric/test/test_inspector.py
imports: import inspect
  from typing import Any, Dict, Final, List, Optional, Set, Tuple, Union
  import torch
  from torch import Tensor
  from torch_geometric.inspector import Inspector, Parameter, Signature
  from torch_geometric.nn import GATConv, SAGEConv
  from torch_geometric.typing import OptPairTensor
label_desc: Use image node_id 2 for calling a global function with example usage: test_type_repr() without return types