code: def euclidean_distance(x: np.ndarray, y: np.ndarray) -> float:
      """Calculates the Euclidean distance between two n-dimensional points.
  
      Args:
          x: N-dimensional point.
          y: N-dimensional point.
  
      Returns:
          (float): Euclidean distance between `x` and `y`.
  
      """
  
      distance = np.linalg.norm(x - y)
  
      return distance
  
file_path: opytimizer/opytimizer/math/general.py
imports: from itertools import islice
  from typing import Any, Iterable, List, Optional
  import numpy
  import opytimizer.math.random
label_desc: Use image node_id 1 for calling a global function with example usage: euclidean_distance(x, y) and returns: distance