code: def test_karate_1():
      karate_k_num = {
          0: 4,
          1: 4,
          2: 4,
          3: 4,
          4: 3,
          5: 3,
          6: 3,
          7: 4,
          8: 4,
          9: 2,
          10: 3,
          11: 1,
          12: 2,
          13: 4,
          14: 2,
          15: 2,
          16: 2,
          17: 2,
          18: 2,
          19: 3,
          20: 2,
          21: 2,
          22: 2,
          23: 3,
          24: 3,
          25: 3,
          26: 2,
          27: 3,
          28: 3,
          29: 3,
          30: 4,
          31: 3,
          32: 4,
          33: 4,
      }
      approx_karate_k_num = karate_k_num.copy()
      approx_karate_k_num[24] = 2
      approx_karate_k_num[25] = 2
      G = nx.karate_club_graph()
      k_comps = k_components(G)
      k_num = build_k_number_dict(k_comps)
      assert k_num in (karate_k_num, approx_karate_k_num)
  
imports: import pytest
  import networkx
  from networkx.algorithms.approximation import k_components
  from networkx.algorithms.approximation.kcomponents import _AntiGraph, _same
label_desc: Use image node_id 8 for calling a global function with example usage: test_karate_1() without return types