code: def _compute(self, predictions1, predictions2):
      # calculate difference
      d = [p1 - p2 for (p1, p2) in zip(predictions1, predictions2)]
  
      # compute statistic
      res = wilcoxon(d)
      return {"stat": res.statistic, "p": res.pvalue}
  
imports: import datasets
  from scipy.stats import wilcoxon
  import evaluate
label_desc: Use image node_id 2 for calling the Wilcoxon obj's underlying member method code with example usage: obj._compute(predictions1, predictions2) and returns: dict