code: def start_server(
      rank,
      ip_config,
      part_config,
      disable_shared_mem,
      num_clients,
  ):
      print("server: #clients=" + str(num_clients))
      g = DistGraphServer(
          rank,
          ip_config,
          1,
          num_clients,
          part_config,
          disable_shared_mem=disable_shared_mem,
          graph_format=["csc", "coo"],
      )
      g.start()
  
imports: import multiprocessing
  import os
  import tempfile
  import time
  import unittest
  import backend
  import dgl
  import numpy
  import pytest
  import torch
  from dgl.data import CitationGraphDataset
  from dgl.distributed import DistDataLoader, DistGraph, DistGraphServer, load_partition, partition_graph
  from scipy import sparse
  from utils import generate_ip_config, reset_envs
label_desc: Use image node_id 1 for calling a global function with example usage: start_server(rank, ip_config, part_config, disable_shared_mem, num_clients) without return types