code: def _log_add(*values):
      """
      Adds the logged values, returning the logarithm of the addition.
      """
      x = max(values)
      if x > -np.inf:
          sum_diffs = 0
          for value in values:
              sum_diffs += 2 ** (value - x)
          return x + np.log2(sum_diffs)
      else:
          return x
  
imports: import itertools
  import re
  from nltk.metrics import accuracy
  from nltk.probability import ConditionalFreqDist, ConditionalProbDist, DictionaryConditionalProbDist, DictionaryProbDist, FreqDist, LidstoneProbDist, MLEProbDist, MutableProbDist, RandomProbDist
  from nltk.tag.api import TaggerI
  from nltk.util import LazyMap, unique_list
label_desc: Use image node_id 4 for calling a global function with example usage: _log_add() and returns: unknown, x