code: def test_mask_invalid_locations(self):
      hidden_states = self._get_hidden_states()
      batch_size = 1
      seq_length = 8
      hidden_size = 4
      hidden_states = tf.reshape(
          hidden_states, (batch_size, seq_length, hidden_size)
      )
      hidden_states = TFLongformerSelfAttention._chunk(
          hidden_states, window_overlap=2
      )
  
      hid_states_1 = TFLongformerSelfAttention._mask_invalid_locations(
          hidden_states, 1
      )
      hid_states_2 = TFLongformerSelfAttention._mask_invalid_locations(
          hidden_states, 2
      )
      hid_states_3 = TFLongformerSelfAttention._mask_invalid_locations(
          hidden_states[:, :, :, :3], 2
      )
      hid_states_4 = TFLongformerSelfAttention._mask_invalid_locations(
          hidden_states[:, :, 2:, :], 2
      )
  
      self.assertTrue(
          tf.math.reduce_sum(
              tf.cast(tf.math.is_inf(hid_states_1), tf.int64)
          )
          == 8
      )
      self.assertTrue(
          tf.math.reduce_sum(
              tf.cast(tf.math.is_inf(hid_states_2), tf.int64)
          )
          == 24
      )
      self.assertTrue(
          tf.math.reduce_sum(
              tf.cast(tf.math.is_inf(hid_states_3), tf.int64)
          )
          == 24
      )
      self.assertTrue(
          tf.math.reduce_sum(
              tf.cast(tf.math.is_inf(hid_states_4), tf.int64)
          )
          == 12
      )
  
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 4 for calling the TFLongformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_mask_invalid_locations() without return types