






'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


lowerCAmelCase_           = logging.get_logger(__name__)

lowerCAmelCase_           = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase_           = {
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
    'tokenizer_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/tokenizer.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/tokenizer.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json',
        'roberta-base-openai-detector': (
            'https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'
        ),
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase_           = {
    'roberta-base': 512,
    'roberta-large': 512,
    'roberta-large-mnli': 512,
    'distilroberta-base': 512,
    'roberta-base-openai-detector': 512,
    'roberta-large-openai-detector': 512,
}
class      UpperCamelCase (				snake_case__ ):







		"""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"]
		snake_case    =   RobertaTokenizer
		def __init__(  self		:       Any						,_SCREAMING_SNAKE_CASE		:       Dict=None						,_SCREAMING_SNAKE_CASE		:       Dict=None						,_SCREAMING_SNAKE_CASE		:       int=None						,_SCREAMING_SNAKE_CASE		:       Tuple="replace"						,_SCREAMING_SNAKE_CASE		:       Optional[Any]="<s>"						,_SCREAMING_SNAKE_CASE		:       List[str]="</s>"						,_SCREAMING_SNAKE_CASE		:       Dict="</s>"						,_SCREAMING_SNAKE_CASE		:       Optional[Any]="<s>"						,_SCREAMING_SNAKE_CASE		:       List[Any]="<unk>"						,_SCREAMING_SNAKE_CASE		:       Optional[Any]="<pad>"						,_SCREAMING_SNAKE_CASE		:       Optional[int]="<mask>"						,_SCREAMING_SNAKE_CASE		:       Tuple=False						,_SCREAMING_SNAKE_CASE		:       Tuple=True						,**_SCREAMING_SNAKE_CASE		:       Any						,)    ->   List[Any]:


						'''simple docstring'''
						super().__init__(
						    _SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE						,tokenizer_file=_SCREAMING_SNAKE_CASE						,errors=_SCREAMING_SNAKE_CASE						,bos_token=_SCREAMING_SNAKE_CASE						,eos_token=_SCREAMING_SNAKE_CASE						,sep_token=_SCREAMING_SNAKE_CASE						,cls_token=_SCREAMING_SNAKE_CASE						,unk_token=_SCREAMING_SNAKE_CASE						,pad_token=_SCREAMING_SNAKE_CASE						,mask_token=_SCREAMING_SNAKE_CASE						,add_prefix_space=_SCREAMING_SNAKE_CASE						,trim_offsets=_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE						,)

						A	 =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
						if pre_tok_state.get('add_prefix_space'						,_SCREAMING_SNAKE_CASE		) != add_prefix_space:
										A	 =      getattr(_SCREAMING_SNAKE_CASE						,pre_tok_state.pop('type'		)		)
										A	 =      add_prefix_space
										A	 =      pre_tok_class(**_SCREAMING_SNAKE_CASE		)

						A	 =      add_prefix_space

						A	 =      'post_processor'
						A	 =      getattr(self.backend_tokenizer						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
						if tokenizer_component_instance:
										A	 =      json.loads(tokenizer_component_instance.__getstate__()		)

										# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
										if "sep" in state:
														A	 =      tuple(state['sep']		)
										if "cls" in state:
														A	 =      tuple(state['cls']		)

										A	 =      False

										if state.get('add_prefix_space'						,_SCREAMING_SNAKE_CASE		) != add_prefix_space:
														A	 =      add_prefix_space
														A	 =      True

										if state.get('trim_offsets'						,_SCREAMING_SNAKE_CASE		) != trim_offsets:
														A	 =      trim_offsets
														A	 =      True

										if changes_to_apply:
														A	 =      getattr(_SCREAMING_SNAKE_CASE						,state.pop('type'		)		)
														A	 =      component_class(**_SCREAMING_SNAKE_CASE		)
														setattr(self.backend_tokenizer						,_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
		@property
		def       A(  self		:       List[Any]		)    ->   str:


						'''simple docstring'''
						if self._mask_token is None:
										if self.verbose:
														logger.error('Using mask_token, but it is not set yet.'		)
										return None
						return str(self._mask_token		)
		@mask_token.setter
		def       A(  self		:       List[Any]						,_SCREAMING_SNAKE_CASE		:       Any		)    ->   Optional[int]:


						'''simple docstring'''
						A	 =      AddedToken(_SCREAMING_SNAKE_CASE						,lstrip=_SCREAMING_SNAKE_CASE						,rstrip=_SCREAMING_SNAKE_CASE		) if isinstance(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		) else value
						A	 =      value
		def       A(  self		:       Any						,*_SCREAMING_SNAKE_CASE		:       List[str]						,**_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   BatchEncoding:


						'''simple docstring'''
						A	 =      kwargs.get('is_split_into_words'						,_SCREAMING_SNAKE_CASE		)
						assert self.add_prefix_space or not is_split_into_words, (
						    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
						    "to use it with pretokenized inputs."
						)

						return super()._batch_encode_plus(*_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Tuple						,*_SCREAMING_SNAKE_CASE		:       Tuple						,**_SCREAMING_SNAKE_CASE		:       List[Any]		)    ->   BatchEncoding:


						'''simple docstring'''
						A	 =      kwargs.get('is_split_into_words'						,_SCREAMING_SNAKE_CASE		)

						assert self.add_prefix_space or not is_split_into_words, (
						    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
						    "to use it with pretokenized inputs."
						)

						return super()._encode_plus(*_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Tuple						,_SCREAMING_SNAKE_CASE		:       str						,_SCREAMING_SNAKE_CASE		:       Optional[str] = None		)    ->   Tuple[str]:


						'''simple docstring'''
						A	 =      self._tokenizer.model.save(_SCREAMING_SNAKE_CASE						,name=_SCREAMING_SNAKE_CASE		)
						return tuple(_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       Tuple						,_SCREAMING_SNAKE_CASE		:       Dict=None		)    ->   List[str]:


						'''simple docstring'''
						A	 =      [self.bos_token_id] + token_ids_a + [self.eos_token_id]
						if token_ids_a is None:
										return output

						return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







		def       A(  self		:       str						,_SCREAMING_SNAKE_CASE		:       List[int]						,_SCREAMING_SNAKE_CASE		:       Optional[List[int]] = None		)    ->   List[int]:


						'''simple docstring'''
						A	 =      [self.sep_token_id]
						A	 =      [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 + sep + token_ids_a + sep		) * [0]













def      snake_case		(							UpperCAmelCase	:       Optional[int],						UpperCAmelCase	:       Union[str, Any]   ):
				A	 =      ''
				for i in table:
								res += inp[i - 1]
				return res







def      snake_case		(							UpperCAmelCase	:       Union[str, Any]   ):
				return data[1:] + data[0]







def      snake_case		(							UpperCAmelCase	:       Union[str, Any],						UpperCAmelCase	:       Dict   ):
				A	 =      ''
				for i in range(len(UpperCAmelCase   )   ):
								if a[i] == b[i]:
												res += "0"
								else:
												res += "1"
				return res







def      snake_case		(							UpperCAmelCase	:       int,						UpperCAmelCase	:       Optional[Any]   ):
				A	 =      int('0b' + data[0] + data[-1],						2   )
				A	 =      int('0b' + data[1:3],						2   )
				return bin(s[row][col]   )[2:]







def      snake_case		(							UpperCAmelCase	:       Optional[Any],						UpperCAmelCase	:       Any,						UpperCAmelCase	:       Union[str, Any],						UpperCAmelCase	:       Optional[Any],						UpperCAmelCase	:       Optional[int]   ):
				A	 =      message[:4]
				A	 =      message[4:]
				A	 =      apply_table(UpperCAmelCase,						UpperCAmelCase   )
				A	 =      xor(UpperCAmelCase,						UpperCAmelCase   )
				A	 =      apply_sbox(UpperCAmelCase,						temp[:4]   )  # noqa: E741
				A	 =      apply_sbox(UpperCAmelCase,						temp[4:]   )
				A	 =      '0' * (2 - len(UpperCAmelCase   )) + l  # noqa: E741
				A	 =      '0' * (2 - len(UpperCAmelCase   )) + r
				A	 =      apply_table(l + r,						UpperCAmelCase   )
				A	 =      xor(UpperCAmelCase,						UpperCAmelCase   )
				return temp + right


if __name__ == "__main__":
					lowerCAmelCase_           = input('Enter 10 bit key: ')
					lowerCAmelCase_           = input('Enter 8 bit message: ')

					lowerCAmelCase_           = [6, 3, 7, 4, 8, 5, 10, 9]
					lowerCAmelCase_           = [3, 5, 2, 7, 4, 10, 1, 9, 8, 6]
					lowerCAmelCase_           = [2, 4, 3, 1]
					lowerCAmelCase_           = [2, 6, 3, 1, 4, 8, 5, 7]
					lowerCAmelCase_           = [4, 1, 3, 5, 7, 2, 8, 6]
					lowerCAmelCase_           = [4, 1, 2, 3, 2, 3, 4, 1]
					lowerCAmelCase_           = [[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
					lowerCAmelCase_           = [[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

					# key generation
					lowerCAmelCase_           = apply_table(key, paa_table)
					lowerCAmelCase_           = temp[:5]
					lowerCAmelCase_           = temp[5:]
					lowerCAmelCase_           = left_shift(left)
					lowerCAmelCase_           = left_shift(right)
					lowerCAmelCase_           = apply_table(left + right, pa_table)
					lowerCAmelCase_           = left_shift(left)
					lowerCAmelCase_           = left_shift(right)
					lowerCAmelCase_           = left_shift(left)
					lowerCAmelCase_           = left_shift(right)
					lowerCAmelCase_           = apply_table(left + right, pa_table)

					# encryption
					lowerCAmelCase_           = apply_table(message, IP)
					lowerCAmelCase_           = function(expansion, sa, sa, keya, temp)
					lowerCAmelCase_           = temp[4:] + temp[:4]
					lowerCAmelCase_           = function(expansion, sa, sa, keya, temp)
					lowerCAmelCase_           = apply_table(temp, IP_inv)
					print('Cipher text is:', CT)

					# decryption
					lowerCAmelCase_           = apply_table(CT, IP)
					lowerCAmelCase_           = function(expansion, sa, sa, keya, temp)
					lowerCAmelCase_           = temp[4:] + temp[:4]
					lowerCAmelCase_           = function(expansion, sa, sa, keya, temp)
					lowerCAmelCase_           = apply_table(temp, IP_inv)
					print('Plain text after decypting is:', PT)





