code: def matthews_corrcoef(items):
      unzipped_list = list(zip(*items))
      golds = unzipped_list[0]
      preds = unzipped_list[1]
      return sklearn.metrics.matthews_corrcoef(golds, preds)
  
imports: import math
  from collections.abc import Iterable
  import numpy
  import sacrebleu
  import sklearn.metrics
  import random
  from collections import defaultdict
label_desc: Use image node_id 7 for calling a global function with example usage: matthews_corrcoef(items) and returns: sklearn