code: def setUp(self):
      self.n_train = 6000
      self.n_test = 1000
      self.n_features = 300
      self.contamination = 0.1
      self.roc_floor = 0.5
      (
          self.X_train,
          self.X_test,
          self.y_train,
          self.y_test,
      ) = generate_data(
          n_train=self.n_train,
          n_test=self.n_test,
          n_features=self.n_features,
          contamination=self.contamination,
          random_state=42,
      )
  
      self.clf = DeepSVDD(
          epochs=10,
          hidden_neurons=[64, 32],
          contamination=self.contamination,
          random_state=2021,
      )
      self.clf_ae = DeepSVDD(
          epochs=5,
          use_ae=True,
          output_activation="relu",
          hidden_neurons=[16, 8, 4],
          contamination=self.contamination,
          preprocessing=False,
      )
      self.clf.fit(self.X_train)
      self.clf_ae.fit(self.X_train)
  
imports: from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import unittest
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from sklearn.base import clone
  from sklearn.metrics import roc_auc_score
  from pyod.models.deep_svdd import DeepSVDD
  from pyod.utils.data import generate_data
label_desc: Use image node_id 1 for calling the TestDeepSVDD obj's underlying member method code with example usage: obj.setUp() without return types