code: def test_aggregation_resolver(aggr_tuple):
      aggr_module, aggr_repr = aggr_tuple
      assert isinstance(
          aggregation_resolver(aggr_module()), aggr_module
      )
      assert isinstance(aggregation_resolver(aggr_repr), aggr_module)
  
file_path: pytorch_geometric/test/nn/test_resolver.py
imports: import pytest
  import torch
  from torch.optim.lr_scheduler import ConstantLR, LambdaLR, ReduceLROnPlateau
  import torch_geometric
  from torch_geometric.nn.resolver import activation_resolver, aggregation_resolver, lr_scheduler_resolver, normalization_resolver, optimizer_resolver
label_desc: Use image node_id 2 for calling a global function with example usage: test_aggregation_resolver(aggr_tuple) without return types