code: def _real_init(self, dims, values):
      self.locker.lock_wait(self.state_pkl)
  
      if os.path.exists(self.state_pkl):
          fh = open(self.state_pkl, "rb")
          state = pickle.load(fh)
          fh.close()
  
          self.D = state["dims"]
          self.ls = state["ls"]
          self.amp2 = state["amp2"]
          self.noise = state["noise"]
          self.mean = state["mean"]
      else:
          # Input dimensionality.
          self.D = dims
  
          # Initial length scales.
          self.ls = np.ones(self.D)
  
          # Initial amplitude.
          self.amp2 = np.std(values) + 1e-4
  
          # Initial observation noise.
          self.noise = 1e-3
  
          # Initial mean.
          self.mean = np.mean(values)
  
      self.locker.unlock(self.state_pkl)
  
imports: import os
  from ..None import gp
  import sys
  from ..None import util
  import tempfile
  import numpy
  import numpy.random
  import scipy.linalg
  import scipy.stats
  import scipy.optimize
  import pickle
  from ..Locker import *
  from ..helpers import *
  import logging
label_desc: Use image node_id 3 for calling the GPEIChooser obj's underlying member method code with example usage: obj._real_init(dims, values) without return types