code: def test_as_nodepred_csvdataset():
      with tempfile.TemporaryDirectory() as test_dir:
          # generate YAML/CSVs
          meta_yaml_path = os.path.join(test_dir, "meta.yaml")
          edges_csv_path = os.path.join(test_dir, "test_edges.csv")
          nodes_csv_path = os.path.join(test_dir, "test_nodes.csv")
          meta_yaml_data = {
              "version": "1.0.0",
              "dataset_name": "default_name",
              "node_data": [
                  {"file_name": os.path.basename(nodes_csv_path)}
              ],
              "edge_data": [
                  {"file_name": os.path.basename(edges_csv_path)}
              ],
          }
          with open(meta_yaml_path, "w") as f:
              yaml.dump(meta_yaml_data, f, sort_keys=False)
          num_nodes = 100
          num_edges = 500
          num_dims = 3
          num_classes = num_nodes
          feat_ndata = np.random.rand(num_nodes, num_dims)
          label_ndata = np.arange(num_classes)
          df = pd.DataFrame(
              {
                  "node_id": np.arange(num_nodes),
                  "label": label_ndata,
                  "feat": [line.tolist() for line in feat_ndata],
              }
          )
          df.to_csv(nodes_csv_path, index=False)
          df = pd.DataFrame(
              {
                  "src_id": np.random.randint(
                      num_nodes, size=num_edges
                  ),
                  "dst_id": np.random.randint(
                      num_nodes, size=num_edges
                  ),
              }
          )
          df.to_csv(edges_csv_path, index=False)
  
          ds = data.CSVDataset(test_dir, force_reload=True)
          assert "feat" in ds[0].ndata
          assert "label" in ds[0].ndata
          assert "train_mask" not in ds[0].ndata
          assert not hasattr(ds[0], "num_classes")
          new_ds = data.AsNodePredDataset(
              ds, split_ratio=[0.8, 0.1, 0.1], force_reload=True
          )
          assert new_ds.num_classes == num_classes
          assert "feat" in new_ds[0].ndata
          assert "label" in new_ds[0].ndata
          assert "train_mask" in new_ds[0].ndata
  
imports: import gzip
  import io
  import os
  import tarfile
  import tempfile
  import unittest
  import warnings
  import backend
  import dgl
  import dgl.data
  import numpy
  import pandas
  import pytest
  import yaml
  from dgl import DGLError
label_desc: Use image node_id 34 for calling a global function with example usage: test_as_nodepred_csvdataset() without return types