docstr: create random walk sampler
docstr_tok: ["create","random","walk","sampler"]
code: def create_sampler(self, i):
      """create random walk sampler"""
      return DeepwalkSampler(self.G, self.seeds[i], self.walk_length)
  
imports: import os
  import pickle
  import random
  import time
  import dgl
  import numpy
  import scipy.sparse
  import torch
  from dgl.data.utils import _get_dgl_url, download, extract_archive, get_download_dir
  from torch.utils.data import DataLoader
  from utils import shuffle_walks
label_desc: Use image node_id 2 for calling the DeepwalkDataset obj's underlying member method code with example usage: obj.create_sampler(i) and returns: DeepwalkSampler