code: def test_feature_store_override():
      store = MyFeatureStoreNoGroupName()
      tensor = torch.tensor(
          [[0.0, 0.0, 0.0], [1.0, 1.0, 1.0], [2.0, 2.0, 2.0]]
      )
  
      attr_name = "feat"
      index = torch.tensor([0, 1, 2])
  
      # Only use attr_name and index, in that order:
      store[attr_name, index] = tensor
  
      # A few assertions to ensure group_name is not needed:
      assert isinstance(store[attr_name], AttrView)
      assert torch.equal(store[attr_name, index], tensor)
      assert torch.equal(store[attr_name][index], tensor)
      assert torch.equal(store[attr_name][:], tensor)
      assert torch.equal(store[attr_name, :], tensor)
  
file_path: pytorch_geometric/test/data/test_feature_store.py
imports: from dataclasses import dataclass
  import pytest
  import torch
  from torch_geometric.data import TensorAttr
  from torch_geometric.data.feature_store import AttrView, _FieldStatus
  from torch_geometric.testing import MyFeatureStore
label_desc: Use image node_id 2 for calling a global function with example usage: test_feature_store_override() without return types