code: def log10sumexp(log10_probs):
      """Returns log10(sum(10^log10_probs)) computed in a numerically-stable way.
  
      Args:
        log10_probs: array-like of floats. An array of log10 probabilties.
  
      Returns:
        Float.
      """
      m = max(log10_probs)
      return m + math.log10(sum(pow(10.0, x - m) for x in log10_probs))
  
file_path: deepvariant/third_party/nucleus/util/genomics_math.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import numpy
  from third_party.nucleus.util.python import math
label_desc: Use image node_id 4 for calling a global function with example usage: log10sumexp(log10_probs) and returns: unknown