code: def test_from_networkx_default_features():
      abc = [1, 2, 3, 4]
      expected_nodes = {
          "a": pd.DataFrame(
              [abc, [0] * len(abc)],
              index=["abc", "def"],
              dtype="float32",
          )
      }
      g = nx.MultiDiGraph()
      g.add_node("abc", f=abc)
      g.add_node("def")
  
      with pytest.warns(
          UserWarning,
          match="type 'a'.*4-dimensional zero vector: 'def'$",
      ):
          nodes, edges = from_networkx_for_testing(g, "f")
  
      assert_dataframe_dict_equal(nodes, expected_nodes)
      assert edges == {}
  
imports: import networkx
  import numpy
  import pandas
  import pytest
  from stellargraph.core.convert import ColumnarConverter, convert_nodes, convert_edges, from_networkx
  from stellargraph.core.indexed_array import IndexedArray
label_desc: Use image node_id 26 for calling a global function with example usage: test_from_networkx_default_features() without return types