code: def dummy_register():
      """Dummy register."""
      with tempfile.TemporaryDirectory() as tmp_path:
          tmp_path = pathlib.Path(tmp_path)
  
          # Prepare the datasets
          # Namespace 0
          Ds0(data_dir=tmp_path / "kaggle").download_and_prepare()
          Ds1(data_dir=tmp_path / "kaggle2").download_and_prepare()
          # Namespace 1
          Ds0(data_dir=tmp_path / "mlds").download_and_prepare()
          # Namespace 2: (non-existing)
          print("XXXXXXX: CONTENT!!!")
          for d in tmp_path.iterdir():
              print(d)
          for d in (tmp_path / "kaggle").iterdir():
              print(d)
          for d in (tmp_path / "kaggle2").iterdir():
              print(d)
          for d in (tmp_path / "mlds").iterdir():
              print(d)
  
          content = textwrap.dedent(
              f"""
          [Namespaces]
          kaggle=[
              '{os.fspath(tmp_path / 'kaggle')}',
              '{os.fspath(tmp_path / 'kaggle2')}',
          ]
          mlds='{os.fspath(tmp_path / 'mlds')}'
          other='/tmp/path/to/non-existing-path'
          """
          )
  
          dummy_path = tmp_path / "dummy-community-datasets.toml"
          dummy_path.write_text(content)
          yield registry_lib.DatasetRegistry(
              namespace_config=registry_lib.NamespaceConfig(
                  config_path=dummy_path
              )
          )
  
imports: import os
  import pathlib
  import tempfile
  import textwrap
  from unittest import mock
  import pytest
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import naming
  from tensorflow_datasets.core import registered
  from tensorflow_datasets.core.community import register_package
  from tensorflow_datasets.core.community import register_path
  from tensorflow_datasets.core.community import registry
  from tensorflow_datasets.core.utils import gcs_utils
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_register() without return types