old_contents: import logging
  import numpy as np
  
  from hpolib.benchmarks.synthetic_functions import Branin
  
  from robo.fmin import bohamiann
  
  logging.basicConfig(level=logging.INFO)
  
  
  def objective_function(x):
      y = np.sin(3 * x[0]) * 4 * (x[0] - 1) * (x[0] + 2)
      return y
  
  # Defining the bounds and dimensions of the input space
  lower = np.array([0])
  upper = np.array([6])
  
  # Start Bayesian optimization to optimize the objective function
  results = bohamiann(objective_function, lower, upper, num_iterations=20)
  print(results["x_opt"])
  print(results["f_opt"])
  
new_contents: import logging
  import numpy as np
  
  from robo.fmin import bohamiann
  
  logging.basicConfig(level=logging.INFO)
  
  
  def objective_function(x):
      y = np.sin(3 * x[0]) * 4 * (x[0] - 1) * (x[0] + 2)
      return y
  
  # Defining the bounds and dimensions of the input space
  lower = np.array([0])
  upper = np.array([6])
  
  # Start Bayesian optimization to optimize the objective function
  results = bohamiann(objective_function, lower, upper, num_iterations=20)
  print(results["x_opt"])
  print(results["f_opt"])
  
subject: remove unnecessary import