code: def sparse_jensen_shannon_divergence(ind1, data1, ind2, data2):
      dense_data1, dense_data2 = dense_union(ind1, data1, ind2, data2)
      return jensen_shannon_divergence(dense_data1, dense_data2)
  
imports: from __future__ import print_function
  import locale
  import numpy
  import numba
  from pynndescent.utils import norm, tau_rand
  from pynndescent.distances import kantorovich, jensen_shannon_divergence, symmetric_kl_divergence
label_desc: Use image node_id 42 for calling a global function with example usage: sparse_jensen_shannon_divergence(ind1, data1, ind2, data2) and returns: jensen_shannon_divergence