code: def test_compatability_with_string_values(self):
      with tempfile.TemporaryDirectory() as tmp_dir:
          my_features = DEFAULT_FEATURES.copy()
          my_features["image_id"] = datasets.Value("string")
          with ArrowWriter(
              features=my_features,
              path=os.path.join(tmp_dir, "beta.arrow"),
          ) as writer:
              for key, record in generate_examples(
                  features=my_features, num_examples=1
              ):
                  example = my_features.encode_example(record)
                  writer.write(example)
              num_examples, num_bytes = writer.finalize()
          dataset = datasets.Dataset.from_file(
              os.path.join(tmp_dir, "beta.arrow")
          )
          self.assertIsInstance(
              dataset[0]["image_id"],
              str,
              "image id must be of type string",
          )
          del dataset
  
imports: import os
  import random
  import tempfile
  import unittest
  import numpy
  import pandas
  import pyarrow
  import pytest
  from absl.testing import parameterized
  import datasets
  from datasets.arrow_writer import ArrowWriter
  from datasets.features import Array2D, Array3D, Array4D, Array5D, Value
  from datasets.features.features import Array3DExtensionType, PandasArrayExtensionDtype, _ArrayXD
  from datasets.formatting.formatting import NumpyArrowExtractor, SimpleArrowExtractor
label_desc: Use image node_id 3 for calling the ExtensionTypeCompatibilityTest obj's underlying member method code with example usage: obj.test_compatability_with_string_values() without return types