code: def test_limited_data(self):
      print("-" * 80)
      logger.info("test_limited_data\n" + "-" * 80 + "\n")
      # Tests that if a segment doesn't have any data in it, the z-score
      # returned for any value relative to this segment's baseline is 0.
  
      # generate 0, 1, 0, 1 ... for 2 days, 0.5, 0.5 ... afterward
      data = GeneratorConcatenator(
          generators=[
              TimeSeriesGenerator(f=lambda x: x % 2 == 0, n=2 * 24),
              TimeSeriesGenerator(f=lambda x: 0.5, n=6 * 24),
          ],
          noise=lambda: 0,
          n=8 * 24,
          string_outputs=False,
          tdelta="1h",
      ).generate()
      train_vals, test_vals = data[: 2 * 24], data[2 * 24 :]
  
      model = DynamicBaseline(
          DynamicBaselineConfig(train_window="7d", trends=["weekly"])
      )
      model.train(train_vals)
  
      scores = model.get_anomaly_score(test_vals).squeeze().values
      expected_scores = [0] * (6 * 24)
      self.assertEqual(expected_scores, scores)
  
imports: from functools import reduce
  import logging
  import os
  from os.path import abspath, dirname, join
  import sys
  import unittest
  import numpy
  import pandas
  from merlion.models.anomaly.dbl import DynamicBaseline, DynamicBaselineConfig, Trend
  from merlion.utils.ts_generator import GeneratorConcatenator, TimeSeriesGenerator
  from merlion.utils.resample import to_pd_datetime
label_desc: Use image node_id 8 for calling the TestDynamicBaseline obj's underlying member method code with example usage: obj.test_limited_data() without return types