code: def test_simrank_numpy_no_source_no_target(self):
      G = nx.cycle_graph(5)
      expected = np.array(
          [
              [
                  1.0,
                  0.3947180735764555,
                  0.570482097206368,
                  0.570482097206368,
                  0.3947180735764555,
              ],
              [
                  0.3947180735764555,
                  1.0,
                  0.3947180735764555,
                  0.570482097206368,
                  0.570482097206368,
              ],
              [
                  0.570482097206368,
                  0.3947180735764555,
                  1.0,
                  0.3947180735764555,
                  0.570482097206368,
              ],
              [
                  0.570482097206368,
                  0.570482097206368,
                  0.3947180735764555,
                  1.0,
                  0.3947180735764555,
              ],
              [
                  0.3947180735764555,
                  0.570482097206368,
                  0.570482097206368,
                  0.3947180735764555,
                  1.0,
              ],
          ]
      )
      actual = nx.similarity._simrank_similarity_numpy(G)
      np.testing.assert_allclose(expected, actual, atol=1e-7)
  
imports: import pytest
  import networkx
  from networkx.algorithms.similarity import graph_edit_distance, optimal_edit_paths, optimize_graph_edit_distance
  from networkx.generators.classic import circular_ladder_graph, cycle_graph, path_graph, wheel_graph
label_desc: Use image node_id 36 for calling the TestSimilarity obj's underlying member method code with example usage: obj.test_simrank_numpy_no_source_no_target() without return types