code: def test_scraamp_nan_zero_mean_self_join(percentages):
      T = np.array([-1, 0, 1, np.inf, 1, 0, -1])
  
      m = 3
      zone = int(np.ceil(m / 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.scraamp(
              T, m, T, percentage, zone, False, None
          )
  
          np.random.seed(seed)
          approx = scraamp(
              T, m, percentage=percentage, pre_scraamp=False
          )
          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 naive
  import numpy
  import numpy.testing
  import pytest
  from stumpy import aamp, config, scraamp
  from stumpy.scraamp import prescraamp
label_desc: Use image node_id 22 for calling a global function with example usage: test_scraamp_nan_zero_mean_self_join(percentages) without return types