code: def square_sum(list_vector):
      """!
      @brief Calculates square sum of vector that is represented by list, each element can be represented by list - multidimensional elements.
  
      @param[in] list_vector (list): Input vector.
  
      @return (double) Square sum of vector.
  
      """
  
      square_sum = 0.0
      list_representation = type(list_vector[0]) == list
  
      for index_element in range(0, len(list_vector)):
          if list_representation is True:
              square_sum += sum(
                  list_math_multiplication(
                      list_vector[index_element],
                      list_vector[index_element],
                  )
              )
          else:
              square_sum += (
                  list_vector[index_element]
                  * list_vector[index_element]
              )
  
      return square_sum
  
imports: import time
  import numpy
  from numpy import array
  from PIL import Image
  import matplotlib.pyplot
  from sys import platform
  from pyclustering.utils.metric import distance_metric, type_metric
label_desc: Use image node_id 29 for calling a global function with example usage: square_sum(list_vector) and returns: square_sum