code: def print(self):
      corr = np.ones(
          (len(self.all_test), len(self.all_test)), dtype="float32"
      )
      for i, test_i in enumerate(self.all_test):
          for j, test_j in enumerate(self.all_test[:i]):
              score = np.mean(test_i == test_j)
              corr[i, j] = score
              corr[j, i] = score
  
      ret = {
          "path": self.path.split("/")[-1],
      }
      ret["val_acc"] = self.val_acc
      print(json.dumps(ret, indent=2))
      print("corr")
      print(corr)
      return ret
  
imports: import glob
  import os
  import pandas
  import numpy
  import json
  import tqdm
  from collections import Counter
  from ogb.lsc import MAG240MDataset, MAG240MEvaluator
  import torch
label_desc: Use image node_id 2 for calling the ModelStatus obj's underlying member method code with example usage: obj.print() and returns: ret