code: def basic_pyg_graph_1():
      edge_index = torch.tensor([[0, 1, 2, 3], [0, 0, 1, 1]])
      size = (4, 4)
      return edge_index, size
  
imports: import os
  import pytest
  from dask_cuda.initialize import initialize
  from dask_cuda import LocalCUDACluster
  from dask.distributed import Client
  from cugraph.dask.comms import comms
  from cugraph.dask.common.mg_utils import get_visible_devices
  from cugraph.testing.mg_utils import stop_dask_client
  import torch
  import numpy
  from cugraph.gnn import FeatureStore
  from cugraph.datasets import karate
  import tempfile
label_desc: Use image node_id 8 for calling a global function with example usage: basic_pyg_graph_1() and returns: edge_index,  size