code: def track_time(size, scipy_format):
      matrix_dict = {
          "small": dgl.data.CiteseerGraphDataset(verbose=False)[
              0
          ].adj_external(scipy_fmt=scipy_format),
          "large": utils.get_livejournal().adj_external(
              scipy_fmt=scipy_format
          ),
      }
  
      # dry run
      dgl.from_scipy(matrix_dict[size])
  
      # timing
      with utils.Timer() as t:
          for i in range(3):
              dgl.from_scipy(matrix_dict[size])
  
      return t.elapsed_secs / 3
  
imports: import time
  import dgl
  import dgl.function
  import numpy
  import torch
  from ..None import utils
label_desc: Use image node_id 1 for calling a global function with example usage: track_time(size, scipy_format) and returns: unknown