code: def layer_distance(a, b):
      """The distance between two layers."""
      # pylint: disable=unidiomatic-typecheck
      if not isinstance(a, type(b)):
          return 1.0
      if is_layer(a, "Conv"):
          att_diff = [
              (a.filters, b.filters),
              (a.kernel_size, b.kernel_size),
              (a.stride, b.stride),
          ]
          return attribute_difference(att_diff)
      if is_layer(a, "Pooling"):
          att_diff = [
              (a.padding, b.padding),
              (a.kernel_size, b.kernel_size),
              (a.stride, b.stride),
          ]
          return attribute_difference(att_diff)
      return 0.0
  
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 1 for calling a global function with example usage: layer_distance(a, b) and returns: int, int, attribute_difference, attribute_difference