code: def setUp(self):
      self.n_train = 100
      self.n_test = 100
      self.n_features = 80
      self.contamination = 0.1
      self.roc_floor = 0.8
  
      # Generate sample data
  
      (
          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 = RGraph(
          n_nonzero=100,
          transition_steps=20,
          gamma=50,
          blocksize_test_data=20,
          tau=1,
          preprocessing=True,
          active_support=False,
          gamma_nz=False,
          maxiter_lasso=100,
          contamination=self.contamination,
          algorithm="lasso_lars",
          verbose=0,
      )
  
      self.clf.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.rgraph import RGraph
  from pyod.utils.data import generate_data
label_desc: Use image node_id 1 for calling the TestRGraph obj's underlying member method code with example usage: obj.setUp() without return types