code: def walk_from_files(self):
      bucket = []
      while True:
          for filename in self.walkpath_files:
              with io.open(filename) as inf:
                  for line in inf:
                      # walk = [hash_map[x] for x in line.strip('\n\t').split('\t')]
                      walk = [
                          int(x) for x in line.strip("\n\t").split("\t")
                      ]
                      bucket.append(walk)
                      if len(bucket) == self.batch_size:
                          yield bucket
                          bucket = []
          if len(bucket):
              yield bucket
  
imports: from __future__ import division
  from __future__ import absolute_import
  from __future__ import print_function
  import time
  import io
  import os
  import numpy
  import paddle
  from pgl.utils.logger import log
  from pgl.sample import node2vec_sample
  from pgl.sample import deepwalk_sample
  from pgl.sample import alias_sample
  from pgl.graph_kernel import skip_gram_gen_pair
  from pgl.graph_kernel import alias_sample_build_table
  from pgl.utils import mp_reader
label_desc: Use image node_id 2 for calling the DeepwalkReader obj's underlying member method code with example usage: obj.walk_from_files() without return types