code: def test_detect_anomaly(self):
      X_test = [[10000]]
      score = self.clf.decision_function(X_test)
      anomaly = self.clf.predict(X_test)
      self.assertGreaterEqual(score[0], self.clf.threshold_)
      self.assertEqual(anomaly[0], 1)
  
imports: from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import unittest
  from numpy.testing import assert_allclose
  from numpy.testing import assert_array_less
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from scipy.stats import rankdata
  from sklearn.base import clone
  from sklearn.metrics import roc_auc_score
  from pyod.models.mad import MAD
  from pyod.utils.data import generate_data
label_desc: Use image node_id 23 for calling the TestMAD obj's underlying member method code with example usage: obj.test_detect_anomaly() without return types