code: def chebyshev_distance(point1, point2):
      """!
      @brief Calculate Chebyshev distance (maximum metric) between between two vectors.
      @details Chebyshev distance is a metric defined on a vector space where the distance between two vectors is the
                greatest of their differences along any coordinate dimension.
  
      \f[
      dist(a, b) = \max_{}i\left (\left | a_{i} - b_{i} \right |\right );
      \f]
  
      @param[in] point1 (array_like): The first vector.
      @param[in] point2 (array_like): The second vector.
  
      @return (double) Chebyshev distance between two vectors.
  
      @see euclidean_distance_square, euclidean_distance, minkowski_distance
  
      """
      distance = 0.0
      dimension = len(point1)
  
      for i in range(dimension):
          distance = max(distance, abs(point1[i] - point2[i]))
  
      return distance
  
imports: import numpy
  from enum import IntEnum
label_desc: Use image node_id 7 for calling a global function with example usage: chebyshev_distance(point1, point2) and returns: distance