code: def elliptical_slice(
      self,
      xx,
      chol_Sigma,
      log_like_fn,
      cur_log_like=None,
      angle_range=0,
  ):
      D = xx.shape[0]
  
      if cur_log_like is None:
          cur_log_like = log_like_fn(xx)
  
      nu = np.dot(chol_Sigma.T, np.random.randn(D, 1)).flatten()
      hh = np.log(np.random.rand()) + cur_log_like
  
      # Set up a bracket of angles and pick a first proposal.
      # "phi = (theta'-theta)" is a change in angle.
      if angle_range <= 0:
          # Bracket whole ellipse with both edges at first proposed point
          phi = np.random.rand() * 2 * math.pi
          phi_min = phi - 2 * math.pi
          phi_max = phi
      else:
          # Randomly center bracket on current point
          phi_min = -angle_range * np.random.rand()
          phi_max = phi_min + angle_range
          phi = np.random.rand() * (phi_max - phi_min) + phi_min
  
      # Slice sampling loop
      while True:
          # Compute xx for proposed angle difference
          # and check if it's on the slice
          xx_prop = xx * np.cos(phi) + nu * np.sin(phi)
  
          cur_log_like = log_like_fn(xx_prop)
          if cur_log_like > hh:
              # New point is on slice, ** EXIT LOOP **
              break
  
          # Shrink slice to rejected point
          if phi > 0:
              phi_max = phi
          elif phi < 0:
              phi_min = phi
          else:
              raise Exception(
                  "BUG DETECTED: Shrunk to current position "
                  "and still not acceptable."
              )
  
          # Propose new angle difference
          phi = np.random.rand() * (phi_max - phi_min) + phi_min
  
      xx = xx_prop
      return (xx, cur_log_like)
  
imports: import os
  from ..None import gp
  import sys
  from ..None import util
  import tempfile
  import numpy
  import math
  import numpy.random
  import scipy.linalg
  import scipy.stats
  import scipy.optimize
  import pickle
  import matplotlib.pyplot
  import multiprocessing
  import copy
  from ..helpers import *
  from ..Locker import *
  import logging
label_desc: Use image node_id 22 for calling the GPConstrainedEIChooser obj's underlying member method code with example usage: obj.elliptical_slice(xx, chol_Sigma, log_like_fn, cur_log_like, angle_range) and returns: xx,  cur_log_like