



'''simple docstring'''






import json
import os
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation

lowerCamelCase__	  =		logging.get_logger(__name__)

lowerCamelCase__	  =		{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCamelCase__	  =		{
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

lowerCamelCase__	  =		{
    'microsoft/deberta-base': 5_12,
    'microsoft/deberta-large': 5_12,
    'microsoft/deberta-xlarge': 5_12,
    'microsoft/deberta-base-mnli': 5_12,
    'microsoft/deberta-large-mnli': 5_12,
    'microsoft/deberta-xlarge-mnli': 5_12,
}

lowerCamelCase__	  =		{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}





def 				_SCREAMING_SNAKE_CASE(					)		->int:






							'''simple docstring'''
							_lowercase							:		Dict				=   (
							    list(range(ord('''!'''  ) ,       ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  ) ,       ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  ) ,       ord('''ÿ'''  ) + 1  )  )
							)
							_lowercase							:		int				=   bs[:]
							_lowercase							:		Union[str, Any]				=   0
							for b in range(2**8  ):
														if b not in bs:
																					bs.append(snake_case_  )
																					cs.append(2**8 + n  )
																					n += 1
							_lowercase							:		Optional[Any]				=   [chr(snake_case_  ) for n in cs]
							return dict(zip(snake_case_ ,       snake_case_  )  )





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     str  )		->List[str]:






							'''simple docstring'''
							_lowercase							:		int				=   set()
							_lowercase							:		str				=   word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)  )
														_lowercase							:		int				=   char
							return pairs




class 	_lowerCAmelCase     (    lowercase_       ):






		'''simple docstring'''
		snake_case_							= VOCAB_FILES_NAMES
		snake_case_							= PRETRAINED_VOCAB_FILES_MAP
		snake_case_							= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case_							= ['input_ids', 'attention_mask', 'token_type_ids']
		def __init__(						self							:       Any      ,		UpperCamelCase_							:       Optional[int]      ,		UpperCamelCase_							:       int      ,		UpperCamelCase_							:       Optional[int]="replace"      ,		UpperCamelCase_							:       Optional[Any]="[CLS]"      ,		UpperCamelCase_							:       int="[SEP]"      ,		UpperCamelCase_							:       int="[SEP]"      ,		UpperCamelCase_							:       Tuple="[CLS]"      ,		UpperCamelCase_							:       Tuple="[UNK]"      ,		UpperCamelCase_							:       Union[str, Any]="[PAD]"      ,		UpperCamelCase_							:       Any="[MASK]"      ,		UpperCamelCase_							:       Dict=False      ,		UpperCamelCase_							:       Optional[int]=False      ,		**UpperCamelCase_							:       str      ,		)      ->			Dict:







									'''simple docstring'''





									_lowercase							:		List[str]				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else bos_token
									_lowercase							:		Optional[int]				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else eos_token
									_lowercase							:		int				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else sep_token
									_lowercase							:		Optional[Any]				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else cls_token
									_lowercase							:		List[Any]				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else unk_token
									_lowercase							:		Tuple				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else pad_token

									# Mask token behave like a normal word, i.e. include the space before it
									_lowercase							:		str				=   AddedToken(UpperCAmelCase_      ,		lstrip=UpperCAmelCase_      ,		rstrip=UpperCAmelCase_		) if isinstance(UpperCAmelCase_      ,		UpperCAmelCase_		) else mask_token

									super().__init__(
									    errors=UpperCAmelCase_      ,		bos_token=UpperCAmelCase_      ,		eos_token=UpperCAmelCase_      ,		unk_token=UpperCAmelCase_      ,		sep_token=UpperCAmelCase_      ,		cls_token=UpperCAmelCase_      ,		pad_token=UpperCAmelCase_      ,		mask_token=UpperCAmelCase_      ,		add_prefix_space=UpperCAmelCase_      ,		add_bos_token=UpperCAmelCase_      ,		**UpperCAmelCase_      ,		)
									_lowercase							:		int				=   add_bos_token

									with open(UpperCAmelCase_      ,		encoding='''utf-8'''		) as vocab_handle:
																_lowercase							:		List[Any]				=   json.load(UpperCAmelCase_		)
									_lowercase							:		Union[str, Any]				=   {v: k for k, v in self.encoder.items()}
									_lowercase							:		Union[str, Any]				=   errors  # how to handle errors in decoding
									_lowercase							:		Optional[int]				=   bytes_to_unicode()
									_lowercase							:		Optional[int]				=   {v: k for k, v in self.byte_encoder.items()}
									with open(UpperCAmelCase_      ,		encoding='''utf-8'''		) as merges_handle:
																_lowercase							:		int				=   merges_handle.read().split('''\n'''		)[1:-1]
									_lowercase							:		Union[str, Any]				=   [tuple(merge.split()		) for merge in bpe_merges]
									_lowercase							:		int				=   dict(zip(UpperCAmelCase_      ,		range(len(UpperCAmelCase_		)		)		)		)
									_lowercase							:		Tuple				=   {}
									_lowercase							:		int				=   add_prefix_space

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									_lowercase							:		List[Any]				=   re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''		)
		@property
		# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
		def 						__lowercase      (						self							:       Union[str, Any]		)      ->			List[str]:







									'''simple docstring'''





									return len(self.encoder		)
		def 						__lowercase      (						self							:       Optional[Any]		)      ->			int:







									'''simple docstring'''





									return dict(self.encoder      ,		**self.added_tokens_encoder		)
		def 						__lowercase      (						self							:       Any      ,		UpperCamelCase_							:       List[Any]		)      ->			List[Any]:







									'''simple docstring'''





									if token in self.cache:
																return self.cache[token]
									_lowercase							:		str				=   tuple(UpperCAmelCase_		)
									_lowercase							:		List[Any]				=   get_pairs(UpperCAmelCase_		)

									if not pairs:
																return token

									while True:
																_lowercase							:		List[str]				=   min(UpperCAmelCase_      ,		key=lambda UpperCamelCase_		: self.bpe_ranks.get(UpperCAmelCase_      ,		float('''inf'''		)		)		)
																if bigram not in self.bpe_ranks:
																							break
																_lowercase							:		int				=   bigram
																_lowercase							:		Union[str, Any]				=   []
																_lowercase							:		Union[str, Any]				=   0
																while i < len(UpperCAmelCase_		):
																							try:
																														_lowercase							:		str				=   word.index(UpperCAmelCase_      ,		UpperCAmelCase_		)
																							except ValueError:
																														new_word.extend(word[i:]		)
																														break
																							else:
																														new_word.extend(word[i:j]		)
																														_lowercase							:		Union[str, Any]				=   j

																							if word[i] == first and i < len(UpperCAmelCase_		) - 1 and word[i + 1] == second:
																														new_word.append(first + second		)
																														i += 2
																							else:
																														new_word.append(word[i]		)
																														i += 1
																_lowercase							:		List[Any]				=   tuple(UpperCAmelCase_		)
																_lowercase							:		List[Any]				=   new_word
																if len(UpperCAmelCase_		) == 1:
																							break
																else:
																							_lowercase							:		Optional[Any]				=   get_pairs(UpperCAmelCase_		)
									_lowercase							:		List[str]				=   " ".join(UpperCAmelCase_		)
									_lowercase							:		Dict				=   word
									return word
		def 						__lowercase      (						self							:       str      ,		UpperCamelCase_							:       Tuple      ,		UpperCamelCase_							:       Dict = None		)      ->			List[int]:







									'''simple docstring'''





									if token_ids_a is None:
																return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									_lowercase							:		List[str]				=   [self.cls_token_id]
									_lowercase							:		int				=   [self.sep_token_id]
									return cls + token_ids_a + sep + token_ids_a + sep
		def 						__lowercase      (						self							:       List[Any]      ,		UpperCamelCase_							:       str      ,		UpperCamelCase_							:       Optional[Any] = None      ,		UpperCamelCase_							:       Optional[int] = False		)      ->			List[int]:







									'''simple docstring'''





									if already_has_special_tokens:
																return super().get_special_tokens_mask(
																    token_ids_a=UpperCAmelCase_      ,		token_ids_a=UpperCAmelCase_      ,		already_has_special_tokens=UpperCAmelCase_		)

									if token_ids_a is None:
																return [1] + ([0] * len(UpperCAmelCase_		)) + [1]
									return [1] + ([0] * len(UpperCAmelCase_		)) + [1] + ([0] * len(UpperCAmelCase_		)) + [1]
		def 						__lowercase      (						self							:       Union[str, Any]      ,		UpperCamelCase_							:       List[str]      ,		UpperCamelCase_							:       List[str] = None		)      ->			List[int]:







									'''simple docstring'''





									_lowercase							:		Dict				=   [self.sep_token_id]
									_lowercase							:		Optional[Any]				=   [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 						__lowercase      (						self							:       int      ,		UpperCamelCase_							:       Any		)      ->			List[Any]:







									'''simple docstring'''





									_lowercase							:		List[Any]				=   []
									for token in re.findall(self.pat      ,		UpperCAmelCase_		):
																_lowercase							:		int				=   "".join(
																    self.byte_encoder[b] for b in token.encode('''utf-8'''		)		)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
																bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCAmelCase_		).split(''' '''		)		)
									return bpe_tokens
		def 						__lowercase      (						self							:       Union[str, Any]      ,		UpperCamelCase_							:       Union[str, Any]		)      ->			Union[str, Any]:







									'''simple docstring'''





									return self.encoder.get(UpperCAmelCase_      ,		self.encoder.get(self.unk_token		)		)
		def 						__lowercase      (						self							:       List[str]      ,		UpperCamelCase_							:       Any		)      ->			int:







									'''simple docstring'''





									return self.decoder.get(UpperCAmelCase_		)
		def 						__lowercase      (						self							:       Union[str, Any]      ,		UpperCamelCase_							:       List[str]		)      ->			Optional[Any]:







									'''simple docstring'''





									_lowercase							:		int				=   "".join(UpperCAmelCase_		)
									_lowercase							:		Any				=   bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''      ,		errors=self.errors		)
									return text
		def 						__lowercase      (						self							:       List[str]      ,		UpperCamelCase_							:       Optional[int]      ,		UpperCamelCase_							:       str = None		)      ->			Tuple[str]:







									'''simple docstring'''





									if not os.path.isdir(UpperCAmelCase_		):
																logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
																return
									_lowercase							:		List[str]				=   os.path.join(
									    UpperCAmelCase_      ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
									_lowercase							:		Union[str, Any]				=   os.path.join(
									    UpperCAmelCase_      ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

									with open(UpperCAmelCase_      ,		'''w'''      ,		encoding='''utf-8'''		) as f:
																f.write(json.dumps(self.encoder      ,		indent=2      ,		sort_keys=UpperCAmelCase_      ,		ensure_ascii=UpperCAmelCase_		) + '''\n'''		)

									_lowercase							:		Any				=   0
									with open(UpperCAmelCase_      ,		'''w'''      ,		encoding='''utf-8'''		) as writer:
																writer.write('''#version: 0.2\n'''		)
																for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,		key=lambda UpperCamelCase_		: kv[1]		):
																							if index != token_index:
																														logger.warning(
																														    F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
																														    ''' Please check that the tokenizer is not corrupted!'''		)
																														_lowercase							:		int				=   token_index
																							writer.write(''' '''.join(UpperCAmelCase_		) + '''\n'''		)
																							index += 1

									return vocab_file, merge_file
		def 						__lowercase      (						self							:       Optional[int]      ,		UpperCamelCase_							:       List[Any]      ,		UpperCamelCase_							:       Optional[Any]=False      ,		**UpperCamelCase_							:       List[str]		)      ->			Optional[Any]:







									'''simple docstring'''





									_lowercase							:		Optional[int]				=   kwargs.pop('''add_prefix_space'''      ,		self.add_prefix_space		)
									if (is_split_into_words or add_prefix_space) and (len(UpperCAmelCase_		) > 0 and not text[0].isspace()):
																_lowercase							:		Tuple				=   " " + text
									return (text, kwargs)





		def 						__lowercase      (						self							:       str      ,		UpperCamelCase_							:       Dict		)      ->			List[int]:







									'''simple docstring'''





									_lowercase							:		Tuple				=   []
									for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(UpperCAmelCase_      ,		add_special_tokens=UpperCAmelCase_		) + [self.eos_token_id]		)
									if len(UpperCAmelCase_		) > self.model_max_length:
																_lowercase							:		Union[str, Any]				=   input_ids[-self.model_max_length :]
									return input_ids











"""simple docstring"""





UpperCamelCase					=     [chr(i) for i in range(32, 1_26)]
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(reversed(range(len(alphabets))))
UpperCamelCase					=     []
UpperCamelCase					=     UpperCamelCase					=     UpperCamelCase					=     0






def 							A(    ):
       """simple docstring"""





       global gear_one_pos
       global gear_two_pos
       global gear_three_pos
       lowercase__:							int         =     gear_one[0]
       gear_one.append(snake_case_						)
       del gear_one[0]
       gear_one_pos += 1
       if gear_one_pos % int(len(snake_case_						)						) == 0:
              lowercase__:							List[str]         =     gear_two[0]
              gear_two.append(snake_case_						)
              del gear_two[0]
              gear_two_pos += 1
              if gear_two_pos % int(len(snake_case_						)						) == 0:
                     lowercase__:							Dict         =     gear_three[0]
                     gear_three.append(snake_case_						)
                     del gear_three[0]
                     gear_three_pos += 1






def 							A(    snake_case_						):
       """simple docstring"""





       lowercase__:							List[Any]         =     alphabets.index(snake_case_						)
       lowercase__:							Dict         =     gear_one[target]
       lowercase__:							Tuple         =     gear_two[target]
       lowercase__:							str         =     gear_three[target]
       lowercase__:							Any         =     reflector[target]
       lowercase__:							Any         =     gear_three.index(snake_case_						)
       lowercase__:							Tuple         =     gear_two.index(snake_case_						)
       lowercase__:							Union[str, Any]         =     gear_one.index(snake_case_						)
       code.append(alphabets[target]						)
       rotator()


if __name__ == "__main__":
  UpperCamelCase					=     list(input("""Type your message:\n"""))
  while True:
    try:
      UpperCamelCase					=     int(input("""Please set token:(must be only digits)\n"""))
      break
    except Exception as error:
      print(error)
  for _ in range(token):
    rotator()
  for j in decode:
    engine(j)
  print("""\n""" + """""".join(code))
  print(
      F"\nYour Token is {token} please write it down.\nIf you want to decode "
      """this message again you should input same digits as token!"""
  )






