code: def test_database_syntactic_sugar(tmp_path):
      path = osp.join(tmp_path, "storage.db")
      db = SQLiteDatabase(path, name="test_table")
  
      data = torch.randn(5, 16)
      db[0] = data[0]
      db[1:3] = data[1:3]
      db[torch.tensor([3, 4])] = data[torch.tensor([3, 4])]
      assert len(db) == 5
  
      assert torch.equal(db[0], data[0])
      assert torch.equal(torch.stack(db[:3], dim=0), data[:3])
      assert torch.equal(torch.stack(db[3:], dim=0), data[3:])
      assert torch.equal(torch.stack(db[1::2], dim=0), data[1::2])
      assert torch.equal(torch.stack(db[[4, 3]], dim=0), data[[4, 3]])
      assert torch.equal(
          torch.stack(db[torch.tensor([4, 3])], dim=0),
          data[torch.tensor([4, 3])],
      )
      assert torch.equal(
          torch.stack(db[torch.tensor([4, 4])], dim=0),
          data[torch.tensor([4, 4])],
      )
  
file_path: pytorch_geometric/test/data/test_database.py
imports: import math
  import os.path
  import pytest
  import torch
  from torch_geometric import EdgeIndex
  from torch_geometric.data import Data, RocksDatabase, SQLiteDatabase
  from torch_geometric.data.database import TensorInfo
  from torch_geometric.profile import benchmark
  from torch_geometric.testing import has_package, withPackage
label_desc: Use image node_id 4 for calling a global function with example usage: test_database_syntactic_sugar(tmp_path) without return types