code: def test_no_config(self):
      builder = adhoc_builder.store_as_tfds_dataset(
          name="adhoc",
          version="1.2.3",
          data_dir=self.tmp_dir,
          features=self._DEFAULT_FEATURES,
          split_datasets={
              "train": my_iterator(max_i=3, split="train"),
              "test": my_iterator(max_i=2, split="test"),
          },
      )
  
      assert builder.data_dir == os.path.join(
          self.tmp_dir, "adhoc", "1.2.3"
      )
      assert set(builder.info.splits.keys()) == {"train", "test"}
  
      actual_train = tfds.load(
          "adhoc:1.2.3", split="train", data_dir=self.tmp_dir
      )
      assert sort_ds_by_id(actual_train) == [
          {"id": 0, "id_str": b"split=train id=0"},
          {"id": 1, "id_str": b"split=train id=1"},
          {"id": 2, "id_str": b"split=train id=2"},
      ]
  
      actual_test = tfds.load(
          "adhoc:1.2.3", split="test", data_dir=self.tmp_dir
      )
      assert sort_ds_by_id(actual_test) == [
          {"id": 0, "id_str": b"split=test id=0"},
          {"id": 1, "id_str": b"split=test id=1"},
      ]
  
imports: import os
  from typing import Iterable
  import apache_beam
  from apache_beam.testing.test_pipeline import TestPipeline
  import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import dataset_builder
  from tensorflow_datasets.core import dataset_utils
  from tensorflow_datasets.core.dataset_builders import adhoc_builder
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the IteratorBuilderTest obj's underlying member method code with example usage: obj.test_no_config() without return types