code: def test_arraylike_data_adapter_with_unmatched_batch_size() -> None:
      with pytest.raises(check.CheckFailedError):
          keras._ArrayLikeAdapter(
              np.arange(0, 16), np.arange(0, 16), batch_size=32
          )
  
imports: from typing import Tuple
  import numpy
  import pytest
  from tensorflow.keras.utils import Sequence
  import determined
  from determined import keras
  from determined.common import check
  from tests.experiment import tf_utils
label_desc: Use image node_id 3 for calling a global function with example usage: test_arraylike_data_adapter_with_unmatched_batch_size() without return types