code: def test_beta_as_scalar(self):
      alpha = 0.1
      beta = 0.1
      b_answer = {
          0: 0.5598852584152165,
          1: 0.6107839182711449,
          2: 0.5598852584152162,
      }
      G = nx.path_graph(3)
      b = nx.katz_centrality(G, alpha, beta)
      for n in sorted(G):
          assert b[n] == pytest.approx(b_answer[n], abs=1e-4)
  
imports: import math
  import pytest
  import networkx
label_desc: Use image node_id 4 for calling the TestKatzCentrality obj's underlying member method code with example usage: obj.test_beta_as_scalar() without return types