code: def shortest_path(graph, node_range, cutoff):
      dists_dict = {}
      for node in tqdm(node_range, leave=False):
          dists_dict[node] = nx.single_source_shortest_path_length(
              graph, node, cutoff
          )
      return dists_dict
  
imports: import multiprocessing
  import random
  from multiprocessing import get_context
  import networkx
  import numpy
  import torch
  from tqdm.auto import tqdm
label_desc: Use image node_id 7 for calling a global function with example usage: shortest_path(graph, node_range, cutoff) and returns: dists_dict