code: def get_default_params(self):
      theta = 0.02
      mean_reversion = 0.5
      sigma = 0.1
      initial_state = 10.0
      num_samples = 10_000
      times = np.arange(0.0, 1.0, 0.1)
      random_type = random.RandomType.STATELESS
      seed = [1, 5]
      dtype = np.float64
      return (
          theta,
          mean_reversion,
          sigma,
          initial_state,
          num_samples,
          times,
          random_type,
          seed,
          dtype,
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
  from tf_quant_finance.math import random_ops
label_desc: Use image node_id 17 for calling the CirTest obj's underlying member method code with example usage: obj.get_default_params() and returns: theta,  mean_reversion,  sigma,  initial_state,  num_samples,  times,  random_type,  seed,  dtype