code: def test_none():
      """test_none"""
      filename = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_parquet",
          "parquet_cpp_example.parquet",
      )
      filename = "file://" + filename
  
      (
          format,  # pylint: disable=redefined-builtin
          entries,
      ) = archive_io.list_archive_entries(filename, ["none", "gz"])
      assert format.numpy().decode() == "none"
      assert entries.shape == [1]
  
      elements = archive_io.read_archive(filename, format, entries)
      assert elements.shape == [1]
  
      assert elements[0].numpy() == tf.io.read_file(filename).numpy()
  
imports: import os
  import tensorflow
  import tensorflow_io.python.ops.archive_ops
label_desc: Use image node_id 2 for calling a global function with example usage: test_none() without return types