code: def test_runs_with_xla(self):
      series = self._build_test_series(
          shape=[72, 3], freq=pd.DateOffset(hours=1)
      )
      anomaly_detection.detect_anomalies(
          series,
          anomaly_threshold=0.01,
          use_gibbs_predictive_dist=False,
          seed=test_util.test_seed(sampler_type="stateless"),
          num_warmup_steps=5,
          num_samples=5,
          jit_compile=True,
      )
  
file_path: probability/tensorflow_probability/python/sts/anomaly_detection/anomaly_detection_test.py
imports: from absl.testing import parameterized
  import numpy
  import pandas
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.sts import anomaly_detection
label_desc: Use image node_id 3 for calling the AnomalyDetectionTests obj's underlying member method code with example usage: obj.test_runs_with_xla() without return types