code: def vector_distance(a, b):
      """The Euclidean distance between two vectors."""
      a = np.array(a)
      b = np.array(b)
      return np.linalg.norm(a - b)
  
imports: import math
  import random
  from copy import deepcopy
  from functools import total_ordering
  from queue import PriorityQueue
  import numpy
  from scipy.linalg import LinAlgError, cho_solve, cholesky, solve_triangular
  from scipy.optimize import linear_sum_assignment
  from sklearn.metrics.pairwise import rbf_kernel
  from nni.utils import OptimizeMode
  from .graph_transformer import transform
  from .utils import Constant
  from .layers import is_layer
label_desc: Use image node_id 8 for calling a global function with example usage: vector_distance(a, b) and returns: np