code: def _get_order_degreelist_node(self, root, max_num_layers=None):
      if max_num_layers is None:
          max_num_layers = float("inf")
  
      ordered_degree_sequence_dict = {}
      visited = [False] * len(self.graph.nodes())
      queue = deque()
      level = 0
      queue.append(root)
      visited[root] = True
  
      while len(queue) > 0 and level <= max_num_layers:
          count = len(queue)
          if self.opt1_reduce_len:
              degree_list = {}
          else:
              degree_list = []
          while count > 0:
              top = queue.popleft()
              node = self.idx2node[top]
              degree = len(self.graph[node])
  
              if self.opt1_reduce_len:
                  degree_list[degree] = degree_list.get(degree, 0) + 1
              else:
                  degree_list.append(degree)
  
              for nei in self.graph[node]:
                  nei_idx = self.node2idx[nei]
                  if not visited[nei_idx]:
                      visited[nei_idx] = True
                      queue.append(nei_idx)
              count -= 1
          if self.opt1_reduce_len:
              orderd_degree_list = [
                  (degree, freq) for degree, freq in degree_list.items()
              ]
              orderd_degree_list.sort(key=lambda x: x[0])
          else:
              orderd_degree_list = sorted(degree_list)
          ordered_degree_sequence_dict[level] = orderd_degree_list
          level += 1
  
      return ordered_degree_sequence_dict
  
imports: import math
  import os
  import shutil
  from collections import ChainMap, deque
  import numpy
  import pandas
  from fastdtw import fastdtw
  from gensim.models import Word2Vec
  from joblib import Parallel, delayed
  from ..alias import create_alias_table
  from ..utils import partition_dict, preprocess_nxgraph
  from ..walker import BiasedWalker
label_desc: Use image node_id 7 for calling the Struc2Vec obj's underlying member method code with example usage: obj._get_order_degreelist_node(root, max_num_layers) and returns: ordered_degree_sequence_dict