code: def test_features_dicts_are_synced(self):
      def assert_features_dicts_are_synced(features: Features):
          assert (
              hasattr(features, "_column_requires_decoding")
              and features.keys()
              == features._column_requires_decoding.keys()
          )
  
      features = Features(
          {"foo": Sequence({"bar": {"my_value": Value("int32")}})}
      )
      assert_features_dicts_are_synced(features)
      features["barfoo"] = Image()
      assert_features_dicts_are_synced(features)
      del features["barfoo"]
      assert_features_dicts_are_synced(features)
      features.update({"foobar": Value("string")})
      assert_features_dicts_are_synced(features)
      features.pop("foobar")
      assert_features_dicts_are_synced(features)
      features.popitem()
      assert_features_dicts_are_synced(features)
      features.setdefault("xyz", Value("bool"))
      assert_features_dicts_are_synced(features)
      features.clear()
      assert_features_dicts_are_synced(features)
  
imports: import datetime
  from unittest import TestCase
  from unittest.mock import patch
  import numpy
  import pandas
  import pyarrow
  import pytest
  from datasets import Array2D
  from datasets.arrow_dataset import Dataset
  from datasets.features import Audio, ClassLabel, Features, Image, Sequence, Value
  from datasets.features.features import _arrow_to_datasets_dtype, _cast_to_python_objects, cast_to_python_objects, encode_nested_example, generate_from_dict, string_to_arrow
  from datasets.features.translation import Translation, TranslationVariableLanguages
  from datasets.info import DatasetInfo
  from datasets.utils.py_utils import asdict
  from ..utils import require_jax, require_tf, require_torch
label_desc: Use image node_id 10 for calling the FeaturesTest obj's underlying member method code with example usage: obj.test_features_dicts_are_synced() without return types