code: def test_prediction_scores(self):
      pred_scores = self.clf.decision_function(self.X_test)
      pred_scores2 = self.clf2.decision_function(self.X_test)
  
      # check score shapes
      assert_equal(pred_scores.shape[0], self.X_test.shape[0])
      assert_equal(pred_scores2.shape[0], self.X_test.shape[0])
  
      # check performance
      assert roc_auc_score(self.y_test, pred_scores) >= self.roc_floor
      assert roc_auc_score(self.y_test, pred_scores2) >= self.roc_floor
  
imports: from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import unittest
  import numpy
  import torch
  from numpy.testing import assert_almost_equal
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from sklearn.metrics import roc_auc_score
  from pyod.models.dif import DIF
  from pyod.utils.data import generate_data
  from pyod.models.auto_encoder_torch import PyODDataset
label_desc: Use image node_id 4 for calling the TestDIF obj's underlying member method code with example usage: obj.test_prediction_scores() without return types