code: def test_convert_value_sequence_of_dict():
      sequence_feature = feature_lib.Sequence(
          {"someint": feature_lib.Scalar(dtype=np.str_)}
      )
      assert huggingface_dataset_builder._convert_value(
          {"someint": [None, "string", None]}, sequence_feature
      ) == {"someint": [b"", "string", b""]}
  
imports: import datetime
  from unittest import mock
  from absl import logging
  import numpy
  import pytest
  import tensorflow
  from tensorflow_datasets.core import features
  from tensorflow_datasets.core import lazy_imports_lib
  from tensorflow_datasets.core import registered
  from tensorflow_datasets.core.dataset_builders import huggingface_dataset_builder
label_desc: Use image node_id 9 for calling a global function with example usage: test_convert_value_sequence_of_dict() without return types