code: def skip_connection_distance(a, b):
      """The distance between two skip-connections."""
      if a[2] != b[2]:
          return 1.0
      len_a = abs(a[1] - a[0])
      len_b = abs(b[1] - b[0])
      return (abs(a[0] - b[0]) + abs(len_a - len_b)) / (
          max(a[0], b[0]) + max(len_a, len_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 4 for calling a global function with example usage: skip_connection_distance(a, b) and returns: unknown, int