code: def test_apply_fn_sequence_of_dicts():
      add_two = functools.partial(add_number, increment=2)
      apply_fn = transform_lib.apply_fn(
          fn=add_two, input_feature="a/b", output_feature="a/c"
      )
      example = {"a": [{"b": [1, 2]}, {"b": [2, 3]}]}
      expected = [
          {
              "a": [
                  {"b": [1, 2], "c": [3, 4]},
                  {"b": [2, 3], "c": [4, 5]},
              ]
          }
      ]
      assert list(apply_fn(example)) == expected
  
file_path: datasets/tensorflow_datasets/core/transform/transform_lib_test.py
imports: import functools
  from typing import Iterator
  import pytest
  from tensorflow_datasets.core.transform import transform_lib
label_desc: Use image node_id 7 for calling a global function with example usage: test_apply_fn_sequence_of_dicts() without return types