code: def arange_graph(request):
      shape = (3, 7, 11) if request.param == "multivariate" else (3, 7)
      total_elems = np.product(shape)
      nodes = IndexedArray(
          np.arange(total_elems).reshape(shape) / total_elems,
          index=["a", "b", "c"],
      )
      edges = pd.DataFrame({"source": ["a", "b"], "target": ["b", "c"]})
      return StellarGraph(nodes, edges)
  
imports: import numpy
  import pandas
  import pytest
  from tensorflow.keras import Model
  from stellargraph import StellarGraph, IndexedArray
  from stellargraph.layer import GCN_LSTM
  from stellargraph.layer import FixedAdjacencyGraphConvolution
  from stellargraph.mapper import SlidingFeaturesNodeGenerator
  from ..None import test_utils
label_desc: Use image node_id 10 for calling a global function with example usage: arange_graph(request) and returns: StellarGraph