






"""simple docstring"""





import os
from shutil import copyfile
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation

UpperCamelCase					=     logging.get_logger(__name__)

UpperCamelCase					=     {"""vocab_file""": """tokenizer.model"""}

UpperCamelCase					=     {
    """vocab_file""": {
        """hf-internal-testing/llama-tokenizer""": """https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer.model""",
    },
    """tokenizer_file""": {
        """hf-internal-testing/llama-tokenizer""": """https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer_config.json""",
    },
}
UpperCamelCase					=     {
    """hf-internal-testing/llama-tokenizer""": 20_48,
}
UpperCamelCase					=     """▁"""

UpperCamelCase,     UpperCamelCase					=     """[INST]""", """[/INST]"""
UpperCamelCase,     UpperCamelCase					=     """<<SYS>>\n""", """\n<</SYS>>\n\n"""

# fmt: off
UpperCamelCase					=     """You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not\
correct. If you don't know the answer to a question, please don't share false information."""







class 						_a  (		lowercase_       ):





   '''simple docstring'''






   UpperCamelCase__     	=							VOCAB_FILES_NAMES
   UpperCamelCase__     	=							PRETRAINED_VOCAB_FILES_MAP
   UpperCamelCase__     	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   UpperCamelCase__     	=							["""input_ids""", """attention_mask"""]





   def __init__(       self					, UpperCAmelCase_					, UpperCAmelCase_="<unk>"					, UpperCAmelCase_="<s>"					, UpperCAmelCase_="</s>"					, UpperCAmelCase_=None					, UpperCAmelCase_ = None					, UpperCAmelCase_=True					, UpperCAmelCase_=False					, UpperCAmelCase_=False					, UpperCAmelCase_=True					, **UpperCAmelCase_					, )			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							str         =     {} if sp_model_kwargs is None else sp_model_kwargs
          lowercase__:							Tuple         =     AddedToken(UpperCAmelCase_					, lstrip=UpperCAmelCase_					, rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_					, UpperCAmelCase_) else bos_token
          lowercase__:							Any         =     AddedToken(UpperCAmelCase_					, lstrip=UpperCAmelCase_					, rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_					, UpperCAmelCase_) else eos_token
          lowercase__:							List[str]         =     AddedToken(UpperCAmelCase_					, lstrip=UpperCAmelCase_					, rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_					, UpperCAmelCase_) else unk_token
          lowercase__:							Union[str, Any]         =     AddedToken(UpperCAmelCase_					, lstrip=UpperCAmelCase_					, rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_					, UpperCAmelCase_) else pad_token
          super().__init__(
              bos_token=UpperCAmelCase_					, eos_token=UpperCAmelCase_					, unk_token=UpperCAmelCase_					, pad_token=UpperCAmelCase_					, add_bos_token=UpperCAmelCase_					, add_eos_token=UpperCAmelCase_					, sp_model_kwargs=self.sp_model_kwargs					, clean_up_tokenization_spaces=UpperCAmelCase_					, legacy=UpperCAmelCase_					, **UpperCAmelCase_					, )
          if legacy:
                 logger.warning_once(
                     F"""You are using the legacy behaviour of the {self.__class__}. This means that tokens that come after special tokens will not be properly handled. We recommend you to"""
                     " read the related pull request available at https://github.com/huggingface/transformers/pull/24565")
          lowercase__:							Optional[int]         =     legacy
          lowercase__:							str         =     vocab_file
          lowercase__:							Optional[int]         =     add_bos_token
          lowercase__:							List[str]         =     add_eos_token
          lowercase__:							Dict         =     spm.SentencePieceProcessor(**self.sp_model_kwargs)
          self.sp_model.Load(UpperCAmelCase_)





   def __getstate__(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							Tuple         =     self.__dict__.copy()
          lowercase__:							List[str]         =     None
          lowercase__:							Dict         =     self.sp_model.serialized_model_proto()
          return state





   def __setstate__(       self					, UpperCAmelCase_)			->   Any:




          '''simple docstring'''




          lowercase__:							Dict         =     d
          lowercase__:							List[Any]         =     spm.SentencePieceProcessor(**self.sp_model_kwargs)
          self.sp_model.LoadFromSerializedProto(self.sp_model_proto)





   @property
   def __lowercase							(       self)			->   Optional[int]:




          '''simple docstring'''




          return self.sp_model.get_piece_size()





   def __lowercase							(       self)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							int         =     {self.convert_ids_to_tokens(UpperCAmelCase_): i for i in range(self.vocab_size)}
          vocab.update(self.added_tokens_encoder)
          return vocab





   def __lowercase							(       self					, UpperCAmelCase_					, **UpperCAmelCase_)			->   List[str]:




          '''simple docstring'''




          if not self.legacy:
                 lowercase__:							Optional[int]         =     SPIECE_UNDERLINE + text.replace(UpperCAmelCase_					, " ")
          return super().tokenize(UpperCAmelCase_					, **UpperCAmelCase_)





   def __lowercase							(       self					, UpperCAmelCase_)			->   Optional[Any]:




          '''simple docstring'''




          if not self.legacy:
                 lowercase__:							Dict         =     text.startswith(UpperCAmelCase_)
                 if is_first:
                        lowercase__:							int         =     text[1:]

          lowercase__:							List[str]         =     self.sp_model.encode(UpperCAmelCase_					, out_type=UpperCAmelCase_)

          if not self.legacy and not is_first and not text.startswith(" ") and tokens[0].startswith(UpperCAmelCase_):
                 lowercase__:							Any         =     ([tokens[0][1:]] if len(tokens[0]) > 1 else []) + tokens[1:]
          return tokens





   def __lowercase							(       self					, UpperCAmelCase_)			->   Any:




          '''simple docstring'''




          return self.sp_model.piece_to_id(UpperCAmelCase_)





   def __lowercase							(       self					, UpperCAmelCase_)			->   Optional[Any]:




          '''simple docstring'''




          lowercase__:							List[Any]         =     self.sp_model.IdToPiece(UpperCAmelCase_)
          return token





   def __lowercase							(       self					, UpperCAmelCase_)			->   Any:




          '''simple docstring'''




          lowercase__:							Union[str, Any]         =     []
          lowercase__:							str         =     ""
          lowercase__:							List[str]         =     False
          for i, token in enumerate(UpperCAmelCase_):
                 # make sure that special tokens are not decoded using sentencepiece model
                 if token in self.all_special_tokens:
                        if not prev_is_special and i != 0:
                               out_string += " "
                        out_string += self.sp_model.decode(UpperCAmelCase_) + token
                        lowercase__:							List[Any]         =     True
                        lowercase__:							Tuple         =     []
                 else:
                        current_sub_tokens.append(UpperCAmelCase_)
                        lowercase__:							Any         =     False
          out_string += self.sp_model.decode(UpperCAmelCase_)
          return out_string





   def __lowercase							(       self					, UpperCAmelCase_					, UpperCAmelCase_ = 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[Any]         =     os.path.join(
              UpperCAmelCase_					, (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

          if os.path.abspath(self.vocab_file) != os.path.abspath(UpperCAmelCase_) and os.path.isfile(self.vocab_file):
                 copyfile(self.vocab_file					, UpperCAmelCase_)
          elif not os.path.isfile(self.vocab_file):
                 with open(UpperCAmelCase_					, "wb") as fi:
                        lowercase__:							Dict         =     self.sp_model.serialized_model_proto()
                        fi.write(UpperCAmelCase_)

          return (out_vocab_file,)





   def __lowercase							(       self					, UpperCAmelCase_					, UpperCAmelCase_=None)			->   Dict:




          '''simple docstring'''




          lowercase__:							Tuple         =     [self.bos_token_id] if self.add_bos_token else []
          lowercase__:							int         =     [self.eos_token_id] if self.add_eos_token else []

          lowercase__:							List[str]         =     bos_token_id + token_ids_a + eos_token_id

          if token_ids_a is not None:
                 lowercase__:							Dict         =     output + bos_token_id + token_ids_a + eos_token_id

          return output





   def __lowercase							(       self					, UpperCAmelCase_					, UpperCAmelCase_ = None					, UpperCAmelCase_ = 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_)

          lowercase__:							Any         =     [1] if self.add_bos_token else []
          lowercase__:							Optional[Any]         =     [1] if self.add_eos_token else []

          if token_ids_a is None:
                 return bos_token_id + ([0] * len(UpperCAmelCase_)) + eos_token_id
          return (
              bos_token_id
              + ([0] * len(UpperCAmelCase_))
              + eos_token_id
              + bos_token_id
              + ([0] * len(UpperCAmelCase_))
              + eos_token_id
          )





   def __lowercase							(       self					, UpperCAmelCase_					, UpperCAmelCase_ = None)			->   List[int]:




          '''simple docstring'''




          lowercase__:							Optional[Any]         =     [self.bos_token_id] if self.add_bos_token else []
          lowercase__:							Tuple         =     [self.eos_token_id] if self.add_eos_token else []

          lowercase__:							List[Any]         =     [0] * len(bos_token_id + token_ids_a + eos_token_id)

          if token_ids_a is not None:
                 output += [1] * len(bos_token_id + token_ids_a + eos_token_id)

          return output





   def __lowercase							(       self					, UpperCAmelCase_)			->   List[int]:




          '''simple docstring'''




          lowercase__:							List[Any]         =     list(conversation.iter_texts())
          if not all([is_user for is_user, msg in dialogue[::2]]) or not all(
              [not is_user for is_user, msg in dialogue[1::2]]):
                 raise ValueError(
                     "The model only supports 'user' and 'assistant' roles, starting with user and alternating (u/a/u/a/u...)")

          lowercase__:							List[int]         =     []
          if len(conversation.past_user_inputs) > 0:
                 if not conversation.past_user_inputs[0].startswith(UpperCAmelCase_) or E_SYS not in conversation.past_user_inputs[0]:
                        lowercase__:							int         =     (
                            B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
                        )
          elif not dialogue[0][1].startswith(UpperCAmelCase_) or E_SYS not in dialogue[0][1]:
                 lowercase__:							str         =     (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

          dialog_tokens += sum(
              [
                  [self.bos_token_id]
                  + self.encode(
                      F"""{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} """					, add_special_tokens=UpperCAmelCase_)
                  + [self.eos_token_id]
                  for prompt, answer in zip(dialogue[::2]					, dialogue[1::2])
              ]					, []					, )
          if not (dialogue[-1][0]):
                 raise ValueError(F"""Last message must be from user, got {dialogue[-1]['role']}""")
          dialog_tokens += [self.bos_token_id] + self.encode(
              F"""{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"""					, add_special_tokens=UpperCAmelCase_)
          return dialog_tokens














"""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!"""
  )






