code: def euclidean_distance(point1, point2):
      """!
      @brief Calculate Euclidean distance between two vectors.
      @details The Euclidean between vectors (points) a and b is calculated by following formula:
  
      \f[
      dist(a, b) = \sqrt{ \sum_{i=0}^{N}(a_{i} - b_{i})^{2} };
      \f]
  
      Where N is a length of each vector.
  
      @param[in] point1 (array_like): The first vector.
      @param[in] point2 (array_like): The second vector.
  
      @return (double) Euclidean distance between two vectors.
  
      @see euclidean_distance_square, manhattan_distance, chebyshev_distance
  
      """
      distance = euclidean_distance_square(point1, point2)
      return distance**0.5
  
imports: import numpy
  from enum import IntEnum
label_desc: Use image node_id 1 for calling a global function with example usage: euclidean_distance(point1, point2) and returns: unknown