

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


_a		       =   logging.get_logger(__name__)

_a		       =   {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_a		       =   {
    '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'
        ),
    },
}

_a		       =   {
    'distilbert-base-uncased': 5_1_2,
    'distilbert-base-uncased-distilled-squad': 5_1_2,
    'distilbert-base-cased': 5_1_2,
    'distilbert-base-cased-distilled-squad': 5_1_2,
    'distilbert-base-german-cased': 5_1_2,
    'distilbert-base-multilingual-cased': 5_1_2,
}


_a		       =   {
    '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_ (		a_					):
     _lowercase			:     Tuple								=	VOCAB_FILES_NAMES
     _lowercase			:     Optional[int]								=	PRETRAINED_VOCAB_FILES_MAP
     _lowercase			:     Dict								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowercase			:     Union[str, Any]								=	PRETRAINED_INIT_CONFIGURATION
     _lowercase			:     List[Any]								=	["input_ids", "attention_mask"]
     _lowercase			:     Optional[Any]								=	DistilBertTokenizer


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

      __lowerCAmelCase:   str   	=      json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
      if (
          normalizer_state.get('lowercase'			,  _lowerCamelCase					) != do_lower_case
          or normalizer_state.get('strip_accents'			,  _lowerCamelCase					) != strip_accents
          or normalizer_state.get('handle_chinese_chars'			,  _lowerCamelCase					) != tokenize_chinese_chars
      ):
       __lowerCAmelCase:   Optional[int]   	=      getattr(_lowerCamelCase			,  normalizer_state.pop('type'					)					)
       __lowerCAmelCase:   Tuple   	=      do_lower_case
       __lowerCAmelCase:   Optional[Any]   	=      strip_accents
       __lowerCAmelCase:   Tuple   	=      tokenize_chinese_chars
       __lowerCAmelCase:   Dict   	=      normalizer_class(**_lowerCamelCase					)

      __lowerCAmelCase:   int   	=      do_lower_case


     def   UpperCAmelCase  (							self			:		Union[str, Any]			,  UpperCAmelCase			:		Union[str, Any]			,  UpperCAmelCase			:		int=None					)							->	Tuple:
      __lowerCAmelCase:   Dict   	=      [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			:		Any			,  UpperCAmelCase			:		Dict			,  UpperCAmelCase			:		Optional[int] = None					)							->	str:
      __lowerCAmelCase:   Dict   	=      [self.sep_token_id]
      __lowerCAmelCase:   Union[str, Any]   	=      [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[Any]			,  UpperCAmelCase			:		List[str]			,  UpperCAmelCase			:		int = None					)							->	Any:
      __lowerCAmelCase:   List[str]   	=      self._tokenizer.model.save(_lowerCamelCase			,  name=_lowerCamelCase					)
      return tuple(_lowerCamelCase					)













"""simple docstring"""



from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

_UpperCamelCase		:  Any						=		TypeVar('T')

class        a     (   Generic[T]	):







    def __init__(			self							,		_lowerCamelCase       ):
      lowercase							    =       data
      lowercase							    =       None







    def __str__(			self       ):
      return F'{self.data}'


class        a     (   Generic[T]	):







    def __init__(			self       ):
      lowercase							    =       None







    def __iter__(			self       ):
      lowercase							    =       self.top
      while node:
        yield node.data
        lowercase							    =       node.next







    def __str__(			self       ):
      return "->".join([str(_lowerCamelCase       ) for item in self]       )







    def __len__(			self       ):
      return len(tuple(iter(self       )       )       )







    def 			UpperCamelCase_      (			self       ):
      return self.top is None







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       Node(_lowerCamelCase       )
      if not self.is_empty():
        lowercase							    =       self.top
      lowercase							    =       node







    def 			UpperCamelCase_      (			self       ):
      if self.is_empty():
        raise IndexError('pop from empty stack'       )
      assert isinstance(self.top							,		_lowerCamelCase       )
      lowercase							    =       self.top
      lowercase							    =       self.top.next
      return pop_node.data







    def 			UpperCamelCase_      (			self       ):
      if self.is_empty():
        raise IndexError('peek from empty stack'       )

      assert self.top is not None
      return self.top.data







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       None


if __name__ == "__main__":
    from doctest import testmod

    testmod()


