code: def test_complex_datatype_converter(field, feature_type):
      actual_feature = croissant_builder.datatype_converter(field)
      assert isinstance(actual_feature, feature_type)
  
file_path: datasets/tensorflow_datasets/core/dataset_builders/croissant_builder_test.py
imports: import json
  import tempfile
  from etils import epath
  import numpy
  import pytest
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import FileFormat
  from tensorflow_datasets.core.dataset_builders import croissant_builder
  from tensorflow_datasets.core.features import image_feature
  from tensorflow_datasets.core.features import text_feature
  from tensorflow_datasets.core.utils.lazy_imports_utils import mlcroissant
label_desc: Use image node_id 3 for calling a global function with example usage: test_complex_datatype_converter(field, feature_type) without return types