




"""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 lowerCAmelCase__			(  lowerCAmelCase__		):






			'''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						,   lowercase=None						,   lowercase=None						,   lowercase=True						,   lowercase="[UNK]"						,   lowercase="[SEP]"						,   lowercase="[PAD]"						,   lowercase="[CLS]"						,   lowercase="[MASK]"						,   lowercase=True						,   lowercase=None						,   **lowercase						,   ):
							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  :    Union[str, Any]					=					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  :    Dict					=					getattr(_lowerCamelCase						,   normalizer_state.pop('type'						)						)
											_lowerCamelCase  :    Union[str, Any]					=					do_lower_case
											_lowerCamelCase  :    Dict					=					strip_accents
											_lowerCamelCase  :    Dict					=					tokenize_chinese_chars
											_lowerCamelCase  :    Optional[Any]					=					normalizer_class(**_lowerCamelCase						)

							_lowerCamelCase  :    List[Any]					=					do_lower_case
			def       A_					(						self						,   lowercase						,   lowercase=None						):
							_lowerCamelCase  :    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       A_					(						self						,   lowercase						,   lowercase = None						):
							_lowerCamelCase  :    Dict					=					[self.sep_token_id]
							_lowerCamelCase  :    str					=					[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       A_					(						self						,   lowercase						,   lowercase = None						):
							_lowerCamelCase  :    List[str]					=					self._tokenizer.model.save(_lowerCamelCase						,   name=_lowerCamelCase						)
							return tuple(_lowerCamelCase						)








"""simple docstring"""






def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    Optional[int]					=					int(lowercase__	)
				if decimal in (0, 1):  # Exit cases for the recursion
								return str(lowercase__	)
				_lowerCamelCase,				_lowerCamelCase  :    Dict					=					divmod(lowercase__							,					2	)
				return binary_recursive(lowercase__	) + str(lowercase__	)







def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    List[Any]					=					str(lowercase__	).strip()
				if not number:
								raise ValueError('No input value was provided'	)
				_lowerCamelCase  :    str					=					'-' if number.startswith('-'	) else ''
				_lowerCamelCase  :    Union[str, Any]					=					number.lstrip('-'	)
				if not number.isnumeric():
								raise ValueError('Input value is not an integer'	)
				return f'''{negative}0b{binary_recursive(int(lowercase__	)	)}'''


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

			testmod()