




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_mvp import MvpTokenizer


lowerCamelCase__			:       Union[str, Any]         =							logging.get_logger(__name__)


lowerCamelCase__			:       List[str]         =							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCamelCase__			:       Any         =							{
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json',
    },
}

lowerCamelCase__			:       Tuple         =							{
    'RUCAIBox/mvp': 1_024,
}





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 lowercase_       =   VOCAB_FILES_NAMES
 lowercase_       =   PRETRAINED_VOCAB_FILES_MAP
 lowercase_       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       =   ["input_ids", "attention_mask"]
 lowercase_       =   MvpTokenizer



 def __init__(							self  :		List[Any]    ,    _lowerCAmelCase  :		str=None    ,    _lowerCAmelCase  :		Union[str, Any]=None    ,    _lowerCAmelCase  :		List[str]=None    ,    _lowerCAmelCase  :		Any="replace"    ,    _lowerCAmelCase  :		int="<s>"    ,    _lowerCAmelCase  :		Any="</s>"    ,    _lowerCAmelCase  :		Dict="</s>"    ,    _lowerCAmelCase  :		Any="<s>"    ,    _lowerCAmelCase  :		Optional[int]="<unk>"    ,    _lowerCAmelCase  :		Tuple="<pad>"    ,    _lowerCAmelCase  :		List[Any]="<mask>"    ,    _lowerCAmelCase  :		int=False    ,    _lowerCAmelCase  :		Optional[Any]=True    ,    **_lowerCAmelCase  :		List[Any]    ,    ):
       super().__init__(
           _lowerCAmelCase    ,    _lowerCAmelCase    ,    tokenizer_file=_lowerCAmelCase    ,    errors=_lowerCAmelCase    ,    bos_token=_lowerCAmelCase    ,    eos_token=_lowerCAmelCase    ,    sep_token=_lowerCAmelCase    ,    cls_token=_lowerCAmelCase    ,    unk_token=_lowerCAmelCase    ,    pad_token=_lowerCAmelCase    ,    mask_token=_lowerCAmelCase    ,    add_prefix_space=_lowerCAmelCase    ,    trim_offsets=_lowerCAmelCase    ,    **_lowerCAmelCase    ,    )

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

       SCREAMING_SNAKE_CASE_     						=      add_prefix_space

       # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
       SCREAMING_SNAKE_CASE_     						=      'post_processor'
       SCREAMING_SNAKE_CASE_     						=      getattr(self.backend_tokenizer    ,    _lowerCAmelCase    ,    _lowerCAmelCase						)
       if tokenizer_component_instance:
             SCREAMING_SNAKE_CASE_     						=      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:
                   SCREAMING_SNAKE_CASE_     						=      tuple(state['sep']						)
             if "cls" in state:
                   SCREAMING_SNAKE_CASE_     						=      tuple(state['cls']						)

             SCREAMING_SNAKE_CASE_     						=      False

             if state.get('add_prefix_space'    ,    _lowerCAmelCase						) != add_prefix_space:
                   SCREAMING_SNAKE_CASE_     						=      add_prefix_space
                   SCREAMING_SNAKE_CASE_     						=      True

             if state.get('trim_offsets'    ,    _lowerCAmelCase						) != trim_offsets:
                   SCREAMING_SNAKE_CASE_     						=      trim_offsets
                   SCREAMING_SNAKE_CASE_     						=      True

             if changes_to_apply:
                   SCREAMING_SNAKE_CASE_     						=      getattr(_lowerCAmelCase    ,    state.pop('type'						)						)
                   SCREAMING_SNAKE_CASE_     						=      component_class(**_lowerCAmelCase						)
                   setattr(self.backend_tokenizer    ,    _lowerCAmelCase    ,    _lowerCAmelCase						)



 @property
 def 				lowerCAmelCase_  (							self  :		Optional[int]						):
       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 				lowerCAmelCase_  (							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		List[Any]						):
       SCREAMING_SNAKE_CASE_     						=      AddedToken(_lowerCAmelCase    ,    lstrip=_lowerCAmelCase    ,    rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						) else value
       SCREAMING_SNAKE_CASE_     						=      value



 def 				lowerCAmelCase_  (							self  :		Optional[int]    ,    *_lowerCAmelCase  :		List[str]    ,    **_lowerCAmelCase  :		int						):
       SCREAMING_SNAKE_CASE_     						=      kwargs.get('is_split_into_words'    ,    _lowerCAmelCase						)

       if is_split_into_words and not self.add_prefix_space:
             raise ValueError(
                 F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
                 'to use it with pretokenized inputs.'						)

       return super()._batch_encode_plus(*_lowerCAmelCase    ,    **_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Optional[int]    ,    *_lowerCAmelCase  :		Optional[Any]    ,    **_lowerCAmelCase  :		str						):
       SCREAMING_SNAKE_CASE_     						=      kwargs.get('is_split_into_words'    ,    _lowerCAmelCase						)

       if is_split_into_words and not self.add_prefix_space:
             raise ValueError(
                 F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
                 'to use it with pretokenized inputs.'						)

       return super()._encode_plus(*_lowerCAmelCase    ,    **_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		List[Any]    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		Optional[str] = None						):
       SCREAMING_SNAKE_CASE_     						=      self._tokenizer.model.save(_lowerCAmelCase    ,    name=_lowerCAmelCase						)
       return tuple(_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Dict    ,    _lowerCAmelCase  :		List[Any]    ,    _lowerCAmelCase  :		str=None						):
       SCREAMING_SNAKE_CASE_     						=      [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 				lowerCAmelCase_  (							self  :		List[str]    ,    _lowerCAmelCase  :		List[int]    ,    _lowerCAmelCase  :		Optional[List[int]] = None						):
       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 + sep + token_ids_a + sep						) * [0]





def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      ''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			dict[str, str]:
      SCREAMING_SNAKE_CASE_     						=      [chr(i + 65							) for i in range(26							)]
      # Remove duplicate characters from key
      SCREAMING_SNAKE_CASE_     						=      remove_duplicates(key.upper()							)
      SCREAMING_SNAKE_CASE_     						=      len(__UpperCAmelCase							)
      # First fill cipher with key characters
      SCREAMING_SNAKE_CASE_     						=      {alphabet[i]: char for i, char in enumerate(__UpperCAmelCase							)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(__UpperCAmelCase							)      ,      26							):
            SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  SCREAMING_SNAKE_CASE_     						=      alphabet[i - offset]
            SCREAMING_SNAKE_CASE_     						=      char
      return cipher_alphabet

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      return "".join(cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				__UpperCAmelCase						:     str      ,      __UpperCAmelCase						:     dict[str, str]							) ->			str:
      SCREAMING_SNAKE_CASE_     						=      {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(__UpperCAmelCase      ,      __UpperCAmelCase							) for ch in message.upper()							)

def  UpperCAmelCase_							(				) ->			None:
      SCREAMING_SNAKE_CASE_     						=      input('Enter message to encode or decode: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Enter keyword: '							).strip()
      SCREAMING_SNAKE_CASE_     						=      input('Encipher or decipher? E/D:'							).strip()[0].lower()
      try:
            SCREAMING_SNAKE_CASE_     						=      {'e': encipher, 'd': decipher}[option]
      except KeyError:
            raise KeyError('invalid input option'							)
      SCREAMING_SNAKE_CASE_     						=      create_cipher_map(__UpperCAmelCase							)
      print(func(__UpperCAmelCase      ,      __UpperCAmelCase							)							)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()