code: 
  
  
  
  
  
  
  from typing import Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_openai import OpenAIGPTTokenizer
  
  
  snake_case_    						=				logging.get_logger(__name__)
  
  snake_case_    						=				{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}
  
  snake_case_    						=				{
      '''vocab_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/vocab.json'''},
      '''merges_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/merges.txt'''},
      '''tokenizer_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/tokenizer.json'''},
  }
  
  snake_case_    						=				{
      '''openai-gpt''': 512,
  }
  
  
  class    SCREAMING_SNAKE_CASE__      (snake_case_  ):
      __lowerCamelCase		: List[str]														=  VOCAB_FILES_NAMES
      __lowerCamelCase		: str														=  PRETRAINED_VOCAB_FILES_MAP
      __lowerCamelCase		: int														=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __lowerCamelCase		: str														=  ["""input_ids""", """attention_mask"""]
      __lowerCamelCase		: List[Any]														=  OpenAIGPTTokenizer
  
  
  
  
  
      def __init__(   self		,     a=None		,     a=None		,     a=None		,     a="<unk>"		,     **a):
           super().__init__(a		,     a		,     tokenizer_file=a		,     unk_token=a		,     **a)
  
  
  
  
  
      @property
      def    snake_case_       (   self):
           return True
  
  
  
  
  
      def    snake_case_       (   self		,     a		,     a = None):
           lowercase__					:     Optional[int]   = self._tokenizer.model.save(a		,     name=a)
           return tuple(a)
  
  
style_context: 
  
  from transformers.models.cpm.tokenization_cpm import CpmTokenizer
  from transformers.testing_utils import custom_tokenizers
  
  from ..xlnet.test_modeling_xlnet import XLNetModelTest
  
  
  @custom_tokenizers
  class    SCREAMING_SNAKE_CASE__      (__snake_case  ):
  
  
  
  
  
      def    snake_case_       (   self		,     a		,     a		,     a		,     a		,     a):
           return True
  
  
  
  
  
      def    snake_case_       (   self):
           lowercase__					:     Tuple   = CpmTokenizer.from_pretrained('TsinghuaAI/CPM-Generate')
           lowercase__					:     str   = 'Hugging Face大法好，谁用谁知道。'
           lowercase__					:     Optional[int]   = 'Hugging Face大法好,谁用谁知道。<unk>'
           lowercase__					:     Any   = '▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。'.split()
  
           lowercase__					:     Any   = tokenizer.tokenize(a)
           self.assertListEqual(a		,     a)
  
           lowercase__					:     List[Any]   = tokens + [tokenizer.unk_token]
  
           lowercase__					:     Any   = [1_3789, 1_3283, 1421, 8, 10, 1164, 1_3608, 1_6528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(a)		,     a)
  
           lowercase__					:     Optional[Any]   = tokenizer.decode(a)
           self.assertEqual(a		,     a)
  
  