code: def prepare_idx(idx):
      if isinstance(idx, int):
          return slice(idx, idx + 1)
      if isinstance(idx, (list, tuple)):
          return torch.tensor(idx)
      elif isinstance(idx, slice):
          return idx
      elif isinstance(idx, torch.Tensor) and idx.dtype == torch.long:
          return idx
      elif isinstance(idx, torch.Tensor) and idx.dtype == torch.bool:
          return idx
  
      raise IndexError(
          f"Only strings, integers, slices (`:`), list, tuples, and long or "
          f"bool tensors are valid indices (got '{type(idx).__name__}')"
      )
  
imports: import copy
  from typing import Any, Dict, Iterable, List, NamedTuple, Optional, Tuple, Union
  import numpy
  import torch
  from torch import Tensor
  from torch_geometric.data.data import BaseData, size_repr
  from torch_geometric.data.storage import BaseStorage, EdgeStorage, GlobalStorage, NodeStorage
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_idx(idx) and returns: slice, torch, idx, idx, idx