text: import logging
  import numpy as np
  from tramp.models import glm_state_evolution
  from tramp.experiments import save_experiments, run_state_evolution
  from tramp.algos import CustomInit
  
  def run_se(a0, alpha, prior_rho, prior_mean):
      model = glm_state_evolution(
          alpha=alpha, prior_type="gauss_bernoulli", output_type="abs",
          prior_rho=prior_rho, prior_mean=prior_mean
      )
      a_init = [("x", "bwd", a0)]
      initializer = CustomInit(a_init=a_init)
      records = run_state_evolution(
          x_ids=["x", "z"], model=model,
          max_iter = 200, initializer=initializer
      )
      return records
  
  if __name__=="__main__":
      csv_file = __file__.replace(".py", ".csv")
      logging.basicConfig(level=logging.INFO)
      save_experiments(
          run_se, csv_file,
          a0 = [0.1, 1000], prior_rho=[0.4, 0.6], prior_mean=0,
          alpha=np.linspace(0, 1.2, 61)[1:]
      )
  