code: def test_OnDiskDataset_all_nodes_set_homo():
      """Test homograph's all nodes set of OnDiskDataset."""
      csc_indptr, indices = gbt.random_homo_graph(1000, 10 * 1000)
      graph = gb.fused_csc_sampling_graph(csc_indptr, indices)
  
      with tempfile.TemporaryDirectory() as test_dir:
          graph_path = os.path.join(
              test_dir, "fused_csc_sampling_graph.pt"
          )
          torch.save(graph, graph_path)
  
          yaml_content = f"""
              graph_topology:
                type: FusedCSCSamplingGraph
                path: {graph_path}
          """
          dataset = write_yaml_and_load_dataset(yaml_content, test_dir)
          all_nodes_set = dataset.all_nodes_set
          assert isinstance(all_nodes_set, gb.ItemSet)
          assert all_nodes_set.names == ("seed_nodes",)
          for i, item in enumerate(all_nodes_set):
              assert i == item
  
          dataset = None
  
imports: import os
  import pickle
  import random
  import re
  import tempfile
  import unittest
  import warnings
  import numpy
  import pandas
  import pydantic
  import pytest
  import torch
  import yaml
  from dgl import graphbolt
  from dgl.base import DGLWarning
  from ..None import gb_test_utils
label_desc: Use image node_id 30 for calling a global function with example usage: test_OnDiskDataset_all_nodes_set_homo() without return types