code: def test_infilling_tokenization(self):
      PROMPTS = [
          '''def remove_non_ascii(s: str) -> str:
      """ <FILL_ME>
      return result
  ''',
          """# Installation instructions:
      ```bash
  <FILL_ME>
      ```
  This downloads the LLaMA inference code and installs the repository as a local pip package.
  """,
          """class InterfaceManagerFactory(AbstractManagerFactory):
      def __init__(<FILL_ME>
  def main():
      factory = InterfaceManagerFactory(start=datetime.now())
      managers = []
      for i in range(10):
          managers.append(factory.build(id=i))
  """,
          """/-- A quasi-prefunctoid is 1-connected iff all its etalisations are 1-connected. -/
  theorem connected_iff_etalisation [C D : precategoroid] (P : quasi_prefunctoid C D) :
  π₁ P = 0 ↔ <FILL_ME> = 0 :=
  begin
  split,
  { intros h f,
      rw pi_1_etalisation at h,
      simp [h],
      refl
  },
  { intro h,
      have := @quasi_adjoint C D P,
      simp [←pi_1_etalisation, this, h],
      refl
  }
  end
  """,
      ]
      tokenizer = CodeLlamaTokenizer.from_pretrained(
          "codellama/CodeLlama-7b-Instruct-hf"
      )
      tokenizer_fast = CodeLlamaTokenizerFast.from_pretrained(
          "codellama/CodeLlama-7b-Instruct-hf"
      )
  
      formatted_prompt = tokenizer.tokenize(PROMPTS[0])
      self.assertEqual(
          formatted_prompt, tokenizer_fast.tokenize(PROMPTS[0])
      )
      prefix, suffix = PROMPTS[0].split("<FILL_ME>")
      self.assertEqual(
          formatted_prompt, tokenizer.tokenize(prefix, suffix)
      )
      self.assertEqual(
          formatted_prompt, tokenizer_fast.tokenize(prefix, suffix)
      )
  
      input_ids = tokenizer.encode(PROMPTS[0], add_special_tokens=False)
      self.assertEqual(
          input_ids,
          tokenizer_fast.encode(PROMPTS[0], add_special_tokens=False),
      )
  
      prefix, suffix = PROMPTS[0].split("<FILL_ME>")
      input_ids = tokenizer.encode(PROMPTS[0])
      self.assertEqual(
          input_ids, tokenizer.encode(prefix, suffix=suffix)
      )
      self.assertEqual(
          tokenizer.encode(prefix, suffix=suffix),
          tokenizer_fast.encode(prefix, suffix=suffix),
      )
  
      # Adding suffix_first check for infilling tasks
      suffix_first_formatted_prompt = tokenizer.tokenize(
          PROMPTS[0], suffix_first=True
      )
      self.assertEqual(
          suffix_first_formatted_prompt,
          tokenizer_fast.tokenize(PROMPTS[0], suffix_first=True),
      )
      prefix, suffix = PROMPTS[0].split("<FILL_ME>")
      self.assertEqual(
          suffix_first_formatted_prompt,
          tokenizer.tokenize(prefix, suffix, suffix_first=True),
      )
      self.assertEqual(
          suffix_first_formatted_prompt,
          tokenizer_fast.tokenize(prefix, suffix, suffix_first=True),
      )
  
      prefix, suffix = PROMPTS[0].split("<FILL_ME>")
      suffix_first_input_ids = tokenizer.encode(
          PROMPTS[0], suffix_first=True
      )
      self.assertEqual(
          suffix_first_input_ids,
          tokenizer.encode(prefix, suffix=suffix, suffix_first=True),
      )
      self.assertEqual(
          suffix_first_input_ids,
          tokenizer_fast.encode(
              prefix, suffix=suffix, suffix_first=True
          ),
      )
  
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 13 for calling the LlamaIntegrationTest obj's underlying member method code with example usage: obj.test_infilling_tokenization() without return types