code: def test_scrump_self_join_KNN(T_A, T_B, percentages):
      m = 3
      zone = int(np.ceil(m / 4))
  
      for k in range(2, 4):
          for percentage in percentages:
              seed = np.random.randint(100000)
  
              np.random.seed(seed)
              ref_P, ref_I, ref_left_I, ref_right_I = naive.scrump(
                  T_B, m, T_B, percentage, zone, False, None, k=k
              )
  
              np.random.seed(seed)
              approx = scrump(
                  T_B,
                  m,
                  ignore_trivial=True,
                  percentage=percentage,
                  pre_scrump=False,
                  k=k,
              )
              approx.update()
              comp_P = approx.P_
              comp_I = approx.I_
              comp_left_I = approx.left_I_
              comp_right_I = approx.right_I_
  
              naive.replace_inf(ref_P)
              naive.replace_inf(comp_P)
              npt.assert_almost_equal(ref_P, comp_P)
              npt.assert_almost_equal(ref_I, comp_I)
              npt.assert_almost_equal(ref_left_I, comp_left_I)
              npt.assert_almost_equal(ref_right_I, comp_right_I)
  
imports: import functools
  import naive
  import numpy
  import numpy.testing
  import pytest
  from stumpy import config, scrump, stump
  from stumpy.scrump import prescrump
label_desc: Use image node_id 28 for calling a global function with example usage: test_scrump_self_join_KNN(T_A, T_B, percentages) without return types