code: def general_sset_intersection(
      indptr1,
      indices1,
      data1,
      indptr2,
      indices2,
      data2,
      result_row,
      result_col,
      result_val,
      right_complement=False,
      mix_weight=0.5,
  ):
      left_min = max(data1.min() / 2.0, 1.0e-8)
      if right_complement:
          right_min = min(
              max((1.0 - data2).min() / 2.0, 1.0e-8), 1e-4
          )  # All right vals may be large!
      else:
          right_min = min(
              max(data2.min() / 2.0, 1.0e-8), 1e-4
          )  # All right vals may be large!
  
      for idx in range(result_row.shape[0]):
          i = result_row[idx]
          j = result_col[idx]
  
          left_val = left_min
          for k in range(indptr1[i], indptr1[i + 1]):
              if indices1[k] == j:
                  left_val = data1[k]
  
          right_val = right_min
          for k in range(indptr2[i], indptr2[i + 1]):
              if indices2[k] == j:
                  if right_complement:
                      right_val = 1.0 - data2[k]
                  else:
                      right_val = data2[k]
  
          if left_val > left_min or right_val > right_min:
              if mix_weight < 0.5:
                  result_val[idx] = left_val * pow(
                      right_val, mix_weight / (1.0 - mix_weight)
                  )
              else:
                  result_val[idx] = (
                      pow(left_val, (1.0 - mix_weight) / mix_weight)
                      * right_val
                  )
  
      return
  
imports: from __future__ import print_function
  import locale
  import numba
  import numpy
  from umap.utils import norm
label_desc: Use image node_id 7 for calling a global function with example usage: general_sset_intersection(indptr1, indices1, data1, indptr2, indices2, data2, result_row, result_col, result_val, right_complement, mix_weight) without return types