code: def test_adapt_list_of_np_arrays_as_y() -> None:
      adapted = keras._adapt_data_from_fit_args(
          x=np.arange(0, 100),
          y=[np.arange(100, 200), np.arange(200, 300)],
          sample_weight=None,
          batch_size=16,
      )
      assert isinstance(adapted, Sequence)
      assert len(adapted) == 7
      batch_x, batch_y = adapted[3]
      assert np.array_equal(batch_x, np.arange(48, 64))
      assert np.array_equal(batch_y[0], np.arange(148, 164))
      assert np.array_equal(batch_y[1], np.arange(248, 264))
  
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 6 for calling a global function with example usage: test_adapt_list_of_np_arrays_as_y() without return types