






'''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


a_					=	logging.get_logger(__name__)

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

a_					=	{
    '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'
        ),
    },
}

a_					=	{
    'squeezebert/squeezebert-uncased': 5_1_2,
    'squeezebert/squeezebert-mnli': 5_1_2,
    'squeezebert/squeezebert-mnli-headless': 5_1_2,
}


a_					=	{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}






class        __SCREAMING_SNAKE_CASE (     lowerCamelCase			):
 snake_case_												=							VOCAB_FILES_NAMES
 snake_case_												=							PRETRAINED_VOCAB_FILES_MAP
 snake_case_												=							PRETRAINED_INIT_CONFIGURATION
 snake_case_												=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 snake_case_												=							SqueezeBertTokenizer




 def __init__( self		:							str   , __lowercase		:							Union[str, Any]=None   , __lowercase		:							str=None   , __lowercase		:							Optional[Any]=True   , __lowercase		:							List[Any]="[UNK]"   , __lowercase		:							List[str]="[SEP]"   , __lowercase		:							Dict="[PAD]"   , __lowercase		:							Union[str, Any]="[CLS]"   , __lowercase		:							Tuple="[MASK]"   , __lowercase		:							List[Any]=True   , __lowercase		:							Dict=None   , **__lowercase		:							List[str]   , )		->  Dict:
       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   , )

       SCREAMING_SNAKE_CASE__       :			str													=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
       ):
             SCREAMING_SNAKE_CASE__       :			str													=getattr(__lowercase   , normalizer_state.pop('''type''' ) )
             SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=do_lower_case
             SCREAMING_SNAKE_CASE__       :			Dict													=strip_accents
             SCREAMING_SNAKE_CASE__       :			Any													=tokenize_chinese_chars
             SCREAMING_SNAKE_CASE__       :			Dict													=normalizer_class(**__lowercase )

       SCREAMING_SNAKE_CASE__       :			Any													=do_lower_case




 def        __magic_name__		( self		:							Union[str, Any]   , __lowercase		:							Optional[Any]   , __lowercase		:							Any=None )		->  int:
       SCREAMING_SNAKE_CASE__       :			int													=[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        __magic_name__		( self		:							Tuple   , __lowercase		:							List[int]   , __lowercase		:							Optional[List[int]] = None )		->  List[int]:
       SCREAMING_SNAKE_CASE__       :			str													=[self.sep_token_id]
       SCREAMING_SNAKE_CASE__       :			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        __magic_name__		( self		:							int   , __lowercase		:							str   , __lowercase		:							Optional[str] = None )		->  Tuple[str]:
       SCREAMING_SNAKE_CASE__       :			Optional[Any]													=self._tokenizer.model.save(__lowercase   , name=__lowercase )
       return tuple(__lowercase )







'''simple docstring'''
import math





def 	_a(					UpperCamelCase__			:  int							):




      '''simple docstring'''






      return math.sqrt(UpperCamelCase__							) * math.sqrt(UpperCamelCase__							) == num





def 	_a(					UpperCamelCase__			:  int							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			List[Any]													=0
      SCREAMING_SNAKE_CASE__       :			Any													=n
      while left <= right:
            SCREAMING_SNAKE_CASE__       :			str													=(left + right) // 2
            if mid**2 == n:
                  return True
            elif mid**2 > n:
                  SCREAMING_SNAKE_CASE__       :			Optional[Any]													=mid - 1
            else:
                  SCREAMING_SNAKE_CASE__       :			Tuple													=mid + 1
      return False


if __name__ == "__main__":
  import doctest

  doctest.testmod()