code: def sparse_alternative_dot(ind1, data1, ind2, data2):
      result = sparse_dot_product(ind1, data1, ind2, data2)
  
      if result <= 0.0:
          return FLOAT32_MAX
      else:
          return -np.log2(result)
  
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 33 for calling a global function with example usage: sparse_alternative_dot(ind1, data1, ind2, data2) and returns: FLOAT32_MAX, unknown