code: def test_pad_and_transpose_last_two_dims(self):
      hidden_states = self._get_hidden_states()
      self.assertEqual(shape_list(hidden_states), [1, 4, 8])
  
      # pad along seq length dim
      paddings = tf.constant(
          [[0, 0], [0, 0], [0, 1], [0, 0]], dtype=tf.int64
      )
  
      hidden_states = TFLongformerSelfAttention._chunk(
          hidden_states, window_overlap=2
      )
      padded_hidden_states = (
          TFLongformerSelfAttention._pad_and_transpose_last_two_dims(
              hidden_states, paddings
          )
      )
      self.assertTrue(shape_list(padded_hidden_states) == [1, 1, 8, 5])
  
      expected_added_dim = tf.zeros((5,), dtype=tf.float32)
      tf.debugging.assert_near(
          expected_added_dim,
          padded_hidden_states[0, 0, -1, :],
          rtol=1e-6,
      )
      tf.debugging.assert_near(
          hidden_states[0, 0, -1, :],
          tf.reshape(padded_hidden_states, (1, -1))[0, 24:32],
          rtol=1e-6,
      )
  
imports: import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 3 for calling the TFLongformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_pad_and_transpose_last_two_dims() without return types