code: def test_multiple_alpha(self):
      alpha_list = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
      for alpha in alpha_list:
          b_answer = {
              0.1: {
                  0: 0.5598852584152165,
                  1: 0.6107839182711449,
                  2: 0.5598852584152162,
              },
              0.2: {
                  0: 0.5454545454545454,
                  1: 0.6363636363636365,
                  2: 0.5454545454545454,
              },
              0.3: {
                  0: 0.5333964609104419,
                  1: 0.6564879518897746,
                  2: 0.5333964609104419,
              },
              0.4: {
                  0: 0.5232045649263551,
                  1: 0.6726915834767423,
                  2: 0.5232045649263551,
              },
              0.5: {
                  0: 0.5144957746691622,
                  1: 0.6859943117075809,
                  2: 0.5144957746691622,
              },
              0.6: {
                  0: 0.5069794004195823,
                  1: 0.6970966755769258,
                  2: 0.5069794004195823,
              },
          }
          G = nx.path_graph(3)
          b = nx.katz_centrality_numpy(G, alpha)
          for n in sorted(G):
              assert b[n] == pytest.approx(b_answer[alpha][n], abs=1e-4)
  
imports: import math
  import pytest
  import networkx
label_desc: Use image node_id 6 for calling the TestKatzCentralityNumpy obj's underlying member method code with example usage: obj.test_multiple_alpha() without return types