

'''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


UpperCAmelCase :       Tuple			   =     logging.get_logger(__name__)

UpperCAmelCase :       Union[str, Any]			   =     {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase :       Optional[int]			   =     {
    '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'
        ),
    },
}

UpperCAmelCase :       Optional[int]			   =     {
    'squeezebert/squeezebert-uncased': 5_1_2,
    'squeezebert/squeezebert-mnli': 5_1_2,
    'squeezebert/squeezebert-mnli-headless': 5_1_2,
}


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







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



 lowerCAmelCase__  					=      VOCAB_FILES_NAMES
 lowerCAmelCase__  					=      PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__  					=      PRETRAINED_INIT_CONFIGURATION
 lowerCAmelCase__  					=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__  					=      SqueezeBertTokenizer
 def __init__(		self					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]=None					,							__SCREAMING_SNAKE_CASE					:       List[str]=None					,							__SCREAMING_SNAKE_CASE					:       Tuple=True					,							__SCREAMING_SNAKE_CASE					:       str="[UNK]"					,							__SCREAMING_SNAKE_CASE					:       str="[SEP]"					,							__SCREAMING_SNAKE_CASE					:       Tuple="[PAD]"					,							__SCREAMING_SNAKE_CASE					:       Any="[CLS]"					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]="[MASK]"					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]=True					,							__SCREAMING_SNAKE_CASE					:       Any=None					,							**__SCREAMING_SNAKE_CASE					:       Optional[int]					,							)  -> Optional[Any]:


      """simple docstring"""




      super().__init__(
          __SCREAMING_SNAKE_CASE					,							tokenizer_file=__SCREAMING_SNAKE_CASE					,							do_lower_case=__SCREAMING_SNAKE_CASE					,							unk_token=__SCREAMING_SNAKE_CASE					,							sep_token=__SCREAMING_SNAKE_CASE					,							pad_token=__SCREAMING_SNAKE_CASE					,							cls_token=__SCREAMING_SNAKE_CASE					,							mask_token=__SCREAMING_SNAKE_CASE					,							tokenize_chinese_chars=__SCREAMING_SNAKE_CASE					,							strip_accents=__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE					,							)

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

      __SCREAMING_SNAKE_CASE     =      do_lower_case
 def       UpperCAmelCase__		(		self					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[int]					,							__SCREAMING_SNAKE_CASE					:       str=None			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [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					:       List[Any]					,							__SCREAMING_SNAKE_CASE					:       List[int]					,							__SCREAMING_SNAKE_CASE					:       Optional[List[int]] = None			)  -> List[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      [self.sep_token_id]
      __SCREAMING_SNAKE_CASE     =      [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]					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[str] = None			)  -> Tuple[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self._tokenizer.model.save(__SCREAMING_SNAKE_CASE					,							name=__SCREAMING_SNAKE_CASE			)
      return tuple(__SCREAMING_SNAKE_CASE			)









'''simple docstring'''



def    a__       (  a__						):




     """simple docstring"""


     if isinstance(a__      ,    a__						):
          raise TypeError("""'float' object cannot be interpreted as an integer"""						)
     if isinstance(a__      ,    a__						):
          raise TypeError("""'str' object cannot be interpreted as an integer"""						)

     if num == 0:
          return "0b0"

     __SCREAMING_SNAKE_CASE     =      False

     if num < 0:
          __SCREAMING_SNAKE_CASE     =      True
          __SCREAMING_SNAKE_CASE     =      -num

     __SCREAMING_SNAKE_CASE     =      []
     while num > 0:
          binary.insert(0      ,    num % 2						)
          num >>= 1

     if negative:
          return "-0b" + "".join(str(a__						) for e in binary						)

     return "0b" + "".join(str(a__						) for e in binary						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()






