code: def test_batch_tokenization(self):
      if not self.test_seq2seq:
          return
  
      tokenizers = self.get_tokenizers()
      for tokenizer in tokenizers:
          with self.subTest(f"{tokenizer.__class__.__name__}"):
              # Longer text that will definitely require truncation.
              text = [
                  " UN Chief Says There Is No Military Solution in Syria",
                  " Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for"
                  " Syria is that 'there is no military solution' to the nearly five-year conflict and more weapons"
                  " will only worsen the violence and misery for millions of people.",
              ]
              try:
                  batch = tokenizer(
                      text=text,
                      max_length=3,
                      max_target_length=10,
                      return_tensors="pt",
                  )
              except NotImplementedError:
                  return
              self.assertEqual(batch.input_ids.shape[1], 3)
              # max_target_length will default to max_length if not specified
              batch = tokenizer(text, max_length=3, return_tensors="pt")
              self.assertEqual(batch.input_ids.shape[1], 3)
  
              batch_encoder_only = tokenizer(
                  text=text,
                  max_length=3,
                  max_target_length=10,
                  return_tensors="pt",
              )
              self.assertEqual(batch_encoder_only.input_ids.shape[1], 3)
              self.assertEqual(
                  batch_encoder_only.attention_mask.shape[1], 3
              )
              self.assertNotIn("decoder_input_ids", batch_encoder_only)
  
imports: import os
  import pickle
  import shutil
  import tempfile
  import unittest
  from datasets import load_dataset
  from transformers import SPIECE_UNDERLINE, AddedToken, CodeLlamaTokenizer, CodeLlamaTokenizerFast, is_torch_available
  from transformers.convert_slow_tokenizer import convert_slow_tokenizer
  from transformers.testing_utils import get_tests_dir, nested_simplify, require_sentencepiece, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 6 for calling the CodeLlamaTokenizationTest obj's underlying member method code with example usage: obj.test_batch_tokenization() without return types