code: def test_online_updates(self):
      self.run_init()
      print("-" * 80)
      logger.info("test_online_updates\n" + "-" * 80 + "\n")
      self.model.config.online_updates = True
      alarms = self.model.get_anomaly_label(
          self.vals_train[-20:] + self.vals_test
      )
      n_alarms = np.sum(alarms.to_pd().values != 0)
      self.assertLess(n_alarms, 5)
  
file_path: merlion/tests/anomaly/test_random_cut_forest.py
imports: import logging
  import math
  from os.path import abspath, dirname, join
  import sys
  import unittest
  import numpy
  from merlion.models.anomaly.random_cut_forest import RandomCutForest, RandomCutForestConfig
  from merlion.post_process.threshold import AggregateAlarms
  from merlion.transform.moving_average import DifferenceTransform
  from merlion.transform.normalize import MeanVarNormalize
  from merlion.transform.resample import Shingle, TemporalResample
  from merlion.transform.sequence import TransformSequence
  from merlion.utils.data_io import csv_to_time_series
label_desc: Use image node_id 5 for calling the TestRandomCutForest obj's underlying member method code with example usage: obj.test_online_updates() without return types