code: def test_top_level_feature(self):
      feature = feature_lib.Dataset(
          {
              "feature_name": feature_lib.Tensor(
                  dtype=np.uint8, shape=(4, 2)
              )
          }
      )
      example = {"feature_name": np.ones(shape=(24,), dtype=np.int32)}
      expected = [
          {"feature_name": np.ones(shape=(4, 2), dtype=np.int32)}
      ] * 3
      self.assertAllEqualNested(
          feature.decode_example_np(example), expected
      )
  
imports: import pickle
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import dataset_utils
  from tensorflow_datasets.core import decode
  from tensorflow_datasets.core import features
label_desc: Use image node_id 1 for calling the DecodeExampleNpTest obj's underlying member method code with example usage: obj.test_top_level_feature() without return types