code: def rouge_l(hypotheses, references):
      """
      Calculate ROUGE-L F1, precision, recall scores
      """
      rouge_l = [
          rouge_l_sentence_level([hyp], [ref])
          for hyp, ref in zip(hypotheses, references)
      ]
      rouge_l_f, _, _ = map(np.mean, zip(*rouge_l))
      return rouge_l_f
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import itertools
  import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: rouge_l(hypotheses, references) and returns: rouge_l_f