code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
  					from .tokenization_xglm import XGLMTokenizer
  else:
  					UpperCAmelCase__      =							None
  
  
  UpperCAmelCase__      =							logging.get_logger(__name__)
  
  UpperCAmelCase__      =							{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}
  
  UpperCAmelCase__      =							{
      '''vocab_file''': {
          '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
      },
      '''tokenizer_file''': {
          '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json''',
      },
  }
  
  UpperCAmelCase__      =							{
      '''facebook/xglm-564M''': 2_0_4_8,
  }
  class 	a__				(				a_      ):
  
  
  
  
  
  			'''simple docstring'''
  
  			A	:							Tuple							= VOCAB_FILES_NAMES
  			A	:							List[Any]							= PRETRAINED_VOCAB_FILES_MAP
  			A	:							Tuple							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  			A	:							str							= ['''input_ids''', '''attention_mask''']
  			A	:							str							= XGLMTokenizer
  			def __init__(     self       : int ,						lowerCAmelCase_       : List[Any]=None ,						lowerCAmelCase_       : Tuple=None ,						lowerCAmelCase_       : Optional[Any]="<s>" ,						lowerCAmelCase_       : int="</s>" ,						lowerCAmelCase_       : List[str]="</s>" ,						lowerCAmelCase_       : str="<s>" ,						lowerCAmelCase_       : int="<unk>" ,						lowerCAmelCase_       : Union[str, Any]="<pad>" ,						**lowerCAmelCase_       : Dict ,						)			->		List[str]:
  						# Compatibility with the original tokenizer
  						__A=  7
  						__A=  [F"""<madeupword{i}>""" for i in range(self.num_madeup_words  )]
  
  						__A=  kwargs.get('additional_special_tokens' ,						[]  )
  						kwargs["additional_special_tokens"] += [
  						    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
  						]
  
  						super().__init__(
  						    lowerCAmelCase_ ,						tokenizer_file=lowerCAmelCase_ ,						bos_token=lowerCAmelCase_ ,						eos_token=lowerCAmelCase_ ,						sep_token=lowerCAmelCase_ ,						cls_token=lowerCAmelCase_ ,						unk_token=lowerCAmelCase_ ,						pad_token=lowerCAmelCase_ ,						**lowerCAmelCase_ ,						)
  
  						__A=  vocab_file
  						__A=  False if not self.vocab_file else True
  			def 				lowerCAmelCase    (     self       : int ,						lowerCAmelCase_       : List[int] ,						lowerCAmelCase_       : Optional[List[int]] = None  )			->		List[int]:
  
  						if token_ids_a is None:
  									return [self.sep_token_id] + token_ids_a
  						__A=  [self.sep_token_id]
  						return sep + token_ids_a + sep + sep + token_ids_a
  			def 				lowerCAmelCase    (     self       : int ,						lowerCAmelCase_       : List[int] ,						lowerCAmelCase_       : Optional[List[int]] = None  )			->		List[int]:
  						__A=  [self.sep_token_id]
  
  						if token_ids_a is None:
  									return len(sep + token_ids_a  ) * [0]
  						return len(sep + token_ids_a + sep + sep + token_ids_a  ) * [0]
  
  			def 				lowerCAmelCase    (     self       : List[str] ,						lowerCAmelCase_       : str ,						lowerCAmelCase_       : Optional[str] = None  )			->		Tuple[str]:
  						if not self.can_save_slow_tokenizer:
  									raise ValueError(
  									    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
  									    'tokenizer.'  )
  
  						if not os.path.isdir(lowerCAmelCase_  ):
  									logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""  )
  									return
  						__A=  os.path.join(
  						    lowerCAmelCase_ ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
  
  						if os.path.abspath(self.vocab_file  ) != os.path.abspath(lowerCAmelCase_  ):
  									copyfile(self.vocab_file ,						lowerCAmelCase_  )
  
  						return (out_vocab_file,)
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  
  
  from typing import Any
  class 	a__				:
  
  
  
  
  
  			'''simple docstring'''
  
  			def __init__(     self       : Any  )			->		int:
  						__A=  []
  						__A=  0
  			def __str__(     self       : Tuple  )			->		Dict:
  						__A=  '<' + str(self.stack  )[1:-1] + '>'
  						return printed
  			def 				lowerCAmelCase    (     self       : Tuple ,						lowerCAmelCase_       : Any  )			->		None:
  						self.stack.append(lowerCAmelCase_  )
  						__A=  self.length + 1
  			def 				lowerCAmelCase    (     self       : int  )			->		Any:
  						self.rotate(1  )
  						__A=  self.stack[self.length - 1]
  						__A=  self.stack[:-1]
  						self.rotate(self.length - 1  )
  						__A=  self.length - 1
  						return dequeued
  			def 				lowerCAmelCase    (     self       : Optional[int] ,						lowerCAmelCase_       : int  )			->		None:
  						for _ in range(lowerCAmelCase_  ):
  									__A=  self.stack[0]
  									__A=  self.stack[1:]
  									self.put(lowerCAmelCase_  )
  									__A=  self.length - 1
  			def 				lowerCAmelCase    (     self       : Tuple  )			->		Any:
  						__A=  self.get()
  						self.put(lowerCAmelCase_  )
  						self.rotate(self.length - 1  )
  						return front
  			def 				lowerCAmelCase    (     self       : Dict  )			->		int:
  						return self.length
  
  
  
  