code: def eval(self, input_dict):
      if "hits@" in self.eval_metric:
          (
              y_pred_pos,
              y_pred_neg,
              type_info,
          ) = self._parse_and_check_input(input_dict)
          return self._eval_hits(y_pred_pos, y_pred_neg, type_info)
      elif self.eval_metric == "mrr":
          (
              y_pred_pos,
              y_pred_neg,
              type_info,
          ) = self._parse_and_check_input(input_dict)
          return self._eval_mrr(y_pred_pos, y_pred_neg, type_info)
      elif self.eval_metric == "rocauc":
          (
              y_pred_pos,
              y_pred_neg,
              type_info,
          ) = self._parse_and_check_input(input_dict)
          return self._eval_rocauc(y_pred_pos, y_pred_neg, type_info)
      else:
          raise ValueError(
              "Undefined eval metric %s" % (self.eval_metric)
          )
  
file_path: ogb/ogb/linkproppred/evaluate.py
imports: import os
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
label_desc: Use image node_id 3 for calling the Evaluator obj's underlying member method code with example usage: obj.eval(input_dict) and returns: self, self, self