code: def calc_refine_distance_end_idx(
      refine_distance,
      dp,
      idx,
      endidx,
      meanx,
      sigmax,
      idx_nn,
      idx_diff,
      m,
  ):
      tmp_a = dp[idx + 1 : endidx + 1]
      tmp_b = meanx[idx + 1 : endidx + 1]
      tmp_c = meanx[idx_nn + 1 : endidx + idx_diff + 1]
      tmp_d = sigmax[idx + 1 : endidx + 1]
      tmp_e = sigmax[idx_nn + 1 : endidx + idx_diff + 1]
      tmp_f = tmp_b * tmp_c
      tmp_g = tmp_d * tmp_e
      tmp_h = m - (tmp_a - m * tmp_f) / (tmp_g)
      refine_distance[idx + 1 : endidx + 1] = np.sqrt(np.abs(2 * tmp_h))
  
      return refine_distance
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import math
  import time
  import warnings
  import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: calc_refine_distance_end_idx(refine_distance, dp, idx, endidx, meanx, sigmax, idx_nn, idx_diff, m) and returns: refine_distance