code: def euclidean_distance_square(point1, point2):
      
      distance = 0.0
      for i in range(len(point1)):
          distance += (point1[i] - point2[i]) ** 2.0
  
      return distance
docs: !
      @brief Calculate square Euclidean distance between two vectors.
  
      \f[
      dist(a, b) = \sum_{i=0}^{N}(a_{i} - b_{i})^{2};
      \f]
  
      @param[in] point1 (array_like): The first vector.
      @param[in] point2 (array_like): The second vector.
  
      @return (double) Square Euclidean distance between two vectors.
  
      @see euclidean_distance, manhattan_distance, chebyshev_distance