import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			:						int				  =		{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		{
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

SCREAMING_SNAKE_CASE			:						List[str]				  =		{
    """distilbert-base-uncased""": 512,
    """distilbert-base-uncased-distilled-squad""": 512,
    """distilbert-base-cased""": 512,
    """distilbert-base-cased-distilled-squad""": 512,
    """distilbert-base-german-cased""": 512,
    """distilbert-base-multilingual-cased""": 512,
}


SCREAMING_SNAKE_CASE			:						Union[str, Any]				  =		{
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}
class  A_			(							__snake_case			):
  _SCREAMING_SNAKE_CASE     					=      VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE     					=      PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE     					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _SCREAMING_SNAKE_CASE     					=      PRETRAINED_INIT_CONFIGURATION
  _SCREAMING_SNAKE_CASE     					=      ['input_ids', 'attention_mask']
  _SCREAMING_SNAKE_CASE     					=      DistilBertTokenizer

  def __init__(		self			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   List[str]=None  ,				__SCREAMING_SNAKE_CASE			:   List[Any]=None  ,				__SCREAMING_SNAKE_CASE			:   Tuple=True  ,				__SCREAMING_SNAKE_CASE			:   Dict="[UNK]"  ,				__SCREAMING_SNAKE_CASE			:   List[str]="[SEP]"  ,				__SCREAMING_SNAKE_CASE			:   int="[PAD]"  ,				__SCREAMING_SNAKE_CASE			:   Any="[CLS]"  ,				__SCREAMING_SNAKE_CASE			:   Any="[MASK]"  ,				__SCREAMING_SNAKE_CASE			:   Union[str, Any]=True  ,				__SCREAMING_SNAKE_CASE			:   Optional[Any]=None  ,				**__SCREAMING_SNAKE_CASE			:   Optional[Any]  ,				):
   super().__init__(
       A_  ,				tokenizer_file=A_  ,				do_lower_case=A_  ,				unk_token=A_  ,				sep_token=A_  ,				pad_token=A_  ,				cls_token=A_  ,				mask_token=A_  ,				tokenize_chinese_chars=A_  ,				strip_accents=A_  ,				**A_  ,				)

   __a							=	json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
   if (
       normalizer_state.get("lowercase"  ,				A_							) != do_lower_case
       or normalizer_state.get("strip_accents"  ,				A_							) != strip_accents
       or normalizer_state.get("handle_chinese_chars"  ,				A_							) != tokenize_chinese_chars
   ):
    __a							=	getattr(A_  ,				normalizer_state.pop("type"							)							)
    __a							=	do_lower_case
    __a							=	strip_accents
    __a							=	tokenize_chinese_chars
    __a							=	normalizer_class(**A_							)

   __a							=	do_lower_case

  def 		_UpperCAmelCase (		self			:   Union[str, Any]  ,				__SCREAMING_SNAKE_CASE			:   List[str]  ,				__SCREAMING_SNAKE_CASE			:   Tuple=None							):
   __a							=	[self.cls_token_id] + token_ids_a + [self.sep_token_id]

   if token_ids_a:
    output += token_ids_a + [self.sep_token_id]

   return output

  def 		_UpperCAmelCase (		self			:   Tuple  ,				__SCREAMING_SNAKE_CASE			:   int  ,				__SCREAMING_SNAKE_CASE			:   List[str] = None							):
   __a							=	[self.sep_token_id]
   __a							=	[self.cls_token_id]
   if token_ids_a is None:
    return len(cls + token_ids_a + sep							) * [0]
   return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]

  def 		_UpperCAmelCase (		self			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   Tuple = None							):
   __a							=	self._tokenizer.model.save(A_  ,				name=A_							)
   return tuple(A_							)









def 						A_							(	_lowerCAmelCase				,  _lowerCAmelCase	)		->					Optional[int]:
 UpperCamelCase      :   List[Any]			      =  [1]
 for i in range(2				,  _lowerCAmelCase	):
  factorials.append(factorials[-1] * i	)
 assert 0 <= k < factorials[-1] * n, "k out of bounds"

 UpperCamelCase      :   Tuple			      =  []
 UpperCamelCase      :   str			      =  list(range(_lowerCAmelCase	)	)

 # Find permutation
 while factorials:
  UpperCamelCase      :   int			      =  factorials.pop()
  UpperCamelCase      ,       UpperCamelCase      :   int			      =  divmod(_lowerCAmelCase				,  _lowerCAmelCase	)
  permutation.append(elements[number]	)
  elements.remove(elements[number]	)
 permutation.append(elements[0]	)

 return permutation


if __name__ == "__main__":
    import doctest

    doctest.testmod()
