code: def __pack_solution(self, hyperparameters):
      solution = np.empty(self.dim)
      for h in hyperparameters:
          values = copy.copy(h.values)
          if h.is_log:
              values = np.log(values)
          # if h.max_range - h.min_range < EPSILON:
          #     values = scale_var(values, h.min_range, h.max_range)
          if not h.unbounded:
              values = np.clip(values, h.min_range, h.max_range)
          if h.array_length is None:
              solution[h.index] = values
          else:
              solution[h.index : h.index + h.array_length] = values
      # print solution
      return solution
  
imports: import cma
  import random
  import copy
  import pickle
  import os
  import pprint
  import time
  import six
  import numpy
  from opt_util import EPSILON
label_desc: Use image node_id 4 for calling the Optimizer obj's underlying member method code with example usage: obj.__pack_solution(hyperparameters) and returns: solution