



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


_snake_case	=						logging.get_logger(__name__)

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

_snake_case	=						{
    "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"
        ),
    },
}

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


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



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	VOCAB_FILES_NAMES
							lowerCamelCase__         =	PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase__         =	PRETRAINED_INIT_CONFIGURATION
							lowerCamelCase__         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase__         =	SqueezeBertTokenizer







							def __init__(     self,    __a=None,    __a=None,    __a=True,    __a="[UNK]",    __a="[SEP]",    __a="[PAD]",    __a="[CLS]",    __a="[MASK]",    __a=True,    __a=None,    **__a,    ):

														'''simple docstring'''

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

														_lowerCAmelCase  :							Any				     =					json.loads(self.backend_tokenizer.normalizer.__getstate__())
														if (
														    normalizer_state.get("lowercase",    __a) != do_lower_case
														    or normalizer_state.get("strip_accents",    __a) != strip_accents
														    or normalizer_state.get("handle_chinese_chars",    __a) != tokenize_chinese_chars
														):
																					_lowerCAmelCase  :							Tuple				     =					getattr(__a,    normalizer_state.pop("type"))
																					_lowerCAmelCase  :							str				     =					do_lower_case
																					_lowerCAmelCase  :							List[str]				     =					strip_accents
																					_lowerCAmelCase  :							Tuple				     =					tokenize_chinese_chars
																					_lowerCAmelCase  :							str				     =					normalizer_class(**__a)

														_lowerCAmelCase  :							Tuple				     =					do_lower_case







							def      snake_case__   (     self,    __a,    __a=None):

														'''simple docstring'''

														_lowerCAmelCase  :							List[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      snake_case__   (     self,    __a,    __a = None):

														'''simple docstring'''

														_lowerCAmelCase  :							int				     =					[self.sep_token_id]
														_lowerCAmelCase  :							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      snake_case__   (     self,    __a,    __a = None):

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					self._tokenizer.model.save(__a,    name=__a)
														return tuple(__a)





import string






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							for key in range(len(string.ascii_uppercase						)						):
														_lowerCAmelCase  :							str				     =					""
														for symbol in message:
																					if symbol in string.ascii_uppercase:
																												_lowerCAmelCase  :							List[str]				     =					string.ascii_uppercase.find(_lowerCamelCase						)
																												_lowerCAmelCase  :							Dict				     =					num - key
																												if num < 0:
																																			_lowerCAmelCase  :							Dict				     =					num + len(string.ascii_uppercase						)
																												_lowerCAmelCase  :							Optional[Any]				     =					translated + string.ascii_uppercase[num]
																					else:
																												_lowerCAmelCase  :							int				     =					translated + symbol
														print(F"Decryption using Key #{key}: {translated}"						)






def        A       (      ):





							'''simple docstring'''




							_lowerCAmelCase  :							Tuple				     =					input("Encrypted message: "						)
							_lowerCAmelCase  :							Dict				     =					message.upper()
							decrypt(_lowerCamelCase						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()
