

'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowercase__         =      logging.get_logger(__name__)

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

lowercase__         =      {
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

lowercase__         =      {
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


lowercase__         =      {
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}




class 	A_			(    _snake_case							):






     '''simple docstring'''



     UpperCAmelCase_						:     Tuple  		=  VOCAB_FILES_NAMES
     UpperCAmelCase_						:     Optional[int]  		=  PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase_						:     Optional[Any]  		=  PRETRAINED_INIT_CONFIGURATION
     UpperCAmelCase_						:     List[Any]  		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase_						:     Dict  		=  SqueezeBertTokenizer


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

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

      UpperCAmelCase	:     Optional[int]						 =			do_lower_case


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







'''simple docstring'''

from __future__ import annotations




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     ):
 if len(UpperCAmelCase_     ) == 0:
  raise ValueError('find_max() arg is an empty sequence'     )
 if (
     left >= len(UpperCAmelCase_     )
     or left < -len(UpperCAmelCase_     )
     or right >= len(UpperCAmelCase_     )
     or right < -len(UpperCAmelCase_     )
 ):
  raise IndexError('list index out of range'     )
 if left == right:
  return nums[left]
 UpperCAmelCase	:     Optional[int]						 =			(left + right) >> 1  # the middle
 UpperCAmelCase	:     Any						 =			find_max(UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     )  # find max in range[left, mid]
 UpperCAmelCase	:     Union[str, Any]						 =			find_max(UpperCAmelCase_  ,	mid + 1  ,	UpperCAmelCase_     )  # find max in range[mid + 1, right]

 return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)




