code: def test_tf_data_builder_no_config(self):
      ds_name = "configless_dataset"
      data_dir = self.tmp_dir
  
      builder = adhoc_builder.store_as_tfds_dataset(
          name=ds_name,
          version="1.0.0",
          split_datasets={
              "train": tf.data.Dataset.from_tensor_slices(
                  {
                      "a": [1, 2],
                      "b": ["a", "b"],
                  }
              ),
              "test": tf.data.Dataset.from_tensor_slices(
                  {
                      "a": [3],
                      "b": ["c"],
                  }
              ),
          },
          features=tfds.features.FeaturesDict(
              {
                  "a": tf.int64,
                  "b": tfds.features.Text(),
              }
          ),
          data_dir=data_dir,
          disable_shuffling=True,
      )
  
      assert builder.data_dir == os.path.join(
          self.tmp_dir, ds_name, "1.0.0"
      )
      assert set(builder.info.splits.keys()) == {"train", "test"}
      assert builder.info.disable_shuffling
  
      actual_train = tfds.load(
          f"{ds_name}:1.0.0", split="train", data_dir=data_dir
      )
      actual_train_np = list(dataset_utils.as_numpy(actual_train))
      assert actual_train_np == [
          {"a": 1, "b": b"a"},
          {"a": 2, "b": b"b"},
      ]
  
      actual_test = tfds.load(
          f"{ds_name}:1.0.0", split="test", data_dir=data_dir
      )
      actual_test_np = list(dataset_utils.as_numpy(actual_test))
      assert actual_test_np == [{"a": 3, "b": b"c"}]
  
      builder_from_dir = tfds.builder_from_directory(
          builder_dir=os.path.join(data_dir, ds_name, "1.0.0")
      )
      actual_train_from_dir = builder_from_dir.as_dataset(split="train")
      actual_train_from_dir_np = list(
          dataset_utils.as_numpy(actual_train_from_dir)
      )
      assert actual_train_from_dir_np == [
          {"a": 1, "b": b"a"},
          {"a": 2, "b": b"b"},
      ]
  
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 TfDataBuilderTest obj's underlying member method code with example usage: obj.test_tf_data_builder_no_config() without return types