code: def __init__(self, data_dir=reddit_dir, data_type="all"):
      super(reddit, self).__init__(data_dir, data_type)
      self.source_url = "http://snap.stanford.edu/graphsage/reddit.zip"
      self.origin_files = [
          "reddit-class_map.json",
          "reddit-feats.npy",
          "reddit-G.json",
          "reddit-id_map.json",
          "reddit-walks.txt",
      ]
      self.max_node_id = 240000
      self.train_node_type = ["train"]
      self.train_edge_type = ["train"]
      self.total_size = 231443
      self.all_node_type = -1
      self.all_edge_type = ["train", "train_removed"]
      self.id_file = os.path.join(data_dir, "reddit_test.id")
      self.feature_idx = "feature"
      self.feature_dim = 602
      self.label_idx = "label"
      self.label_dim = 1
      self.num_classes = 41
  
file_path: euler/tf_euler/python/dataset/reddit.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import json
  import urllib
  import zipfile
  import tqdm
  from tf_euler.python.dataset.sage_util import *
  from tf_euler.python.dataset.base_dataset import DataSet
label_desc: Use image node_id 1 to create a new reddit object from inherited base classes: DataSet with example: obj = reddit(data_dir, data_type)