code: def test_from_arrow_schema_simple(self):
      data = {"a": [{"b": {"c": "text"}}] * 10, "foo": [1] * 10}
      original_features = Features(
          {"a": {"b": {"c": Value("string")}}, "foo": Value("int64")}
      )
      dset = Dataset.from_dict(data, features=original_features)
      new_features = dset.features
      new_dset = Dataset.from_dict(data, features=new_features)
      self.assertEqual(original_features.type, new_features.type)
      self.assertDictEqual(dset[0], new_dset[0])
      self.assertDictEqual(dset[:], new_dset[:])
  
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 1 for calling the FeaturesTest obj's underlying member method code with example usage: obj.test_from_arrow_schema_simple() without return types