code: def sparse_jaccard(ind1, data1, ind2, data2):
      num_non_zero = arr_union(ind1, ind2).shape[0]
      num_equal = arr_intersect(ind1, ind2).shape[0]
  
      if num_non_zero == 0:
          return 0.0
      else:
          return float(num_non_zero - num_equal) / num_non_zero
  
imports: from __future__ import print_function
  import locale
  import numba
  import numpy
  from umap.utils import norm
label_desc: Use image node_id 16 for calling a global function with example usage: sparse_jaccard(ind1, data1, ind2, data2) and returns: int, unknown