
'''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

__SCREAMING_SNAKE_CASE						=      logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE						=      {
    "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",
    },
}
__SCREAMING_SNAKE_CASE						=      {
    "hf-internal-testing/llama-tokenizer": 2048,
}
__SCREAMING_SNAKE_CASE						=      "▁"

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

# fmt: off
__SCREAMING_SNAKE_CASE						=      "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don't know the answer to a question, please don't share false information."




class     __snake_case			(    _a	):
		a_          =					VOCAB_FILES_NAMES
		a_          =					PRETRAINED_VOCAB_FILES_MAP
		a_          =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a_          =					["input_ids", "attention_mask"]




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






								'''simple docstring'''






								UpperCamelCase_     :	Tuple					     =     {} if sp_model_kwargs is None else sp_model_kwargs
								UpperCamelCase_     :	Tuple					     =     AddedToken(_SCREAMING_SNAKE_CASE			,    lstrip=_SCREAMING_SNAKE_CASE			,    rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE) else bos_token
								UpperCamelCase_     :	Optional[int]					     =     AddedToken(_SCREAMING_SNAKE_CASE			,    lstrip=_SCREAMING_SNAKE_CASE			,    rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE) else eos_token
								UpperCamelCase_     :	Dict					     =     AddedToken(_SCREAMING_SNAKE_CASE			,    lstrip=_SCREAMING_SNAKE_CASE			,    rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE) else unk_token
								UpperCamelCase_     :	Tuple					     =     AddedToken(_SCREAMING_SNAKE_CASE			,    lstrip=_SCREAMING_SNAKE_CASE			,    rstrip=_SCREAMING_SNAKE_CASE) if isinstance(_SCREAMING_SNAKE_CASE			,    _SCREAMING_SNAKE_CASE) else pad_token
								super().__init__(
								    bos_token=_SCREAMING_SNAKE_CASE			,    eos_token=_SCREAMING_SNAKE_CASE			,    unk_token=_SCREAMING_SNAKE_CASE			,    pad_token=_SCREAMING_SNAKE_CASE			,    add_bos_token=_SCREAMING_SNAKE_CASE			,    add_eos_token=_SCREAMING_SNAKE_CASE			,    sp_model_kwargs=self.sp_model_kwargs			,    clean_up_tokenization_spaces=_SCREAMING_SNAKE_CASE			,    legacy=_SCREAMING_SNAKE_CASE			,    **_SCREAMING_SNAKE_CASE			,    )
								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""")
								UpperCamelCase_     :	Any					     =     legacy
								UpperCamelCase_     :	Any					     =     vocab_file
								UpperCamelCase_     :	List[Any]					     =     add_bos_token
								UpperCamelCase_     :	Any					     =     add_eos_token
								UpperCamelCase_     :	int					     =     spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.Load(_SCREAMING_SNAKE_CASE)




		def __getstate__(  self					:List[Any])					->			Tuple:






								'''simple docstring'''






								UpperCamelCase_     :	Any					     =     self.__dict__.copy()
								UpperCamelCase_     :	Union[str, Any]					     =     None
								UpperCamelCase_     :	str					     =     self.sp_model.serialized_model_proto()
								return state




		def __setstate__(  self					:Optional[int]			,    _SCREAMING_SNAKE_CASE					:List[str])					->			Optional[int]:






								'''simple docstring'''






								UpperCamelCase_     :	Union[str, Any]					     =     d
								UpperCamelCase_     :	int					     =     spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.LoadFromSerializedProto(self.sp_model_proto)




		@property
		def 	_snake_case	(  self					:str)					->			List[str]:






								'''simple docstring'''






								return self.sp_model.get_piece_size()




		def 	_snake_case	(  self					:Optional[Any])					->			Optional[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	Dict					     =     {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE): i for i in range(self.vocab_size)}
								vocab.update(self.added_tokens_encoder)
								return vocab




		def 	_snake_case	(  self					:str			,    _SCREAMING_SNAKE_CASE					:int			,    **_SCREAMING_SNAKE_CASE					:int)					->			List[str]:






								'''simple docstring'''






								if not self.legacy:
														UpperCamelCase_     :	Dict					     =     SPIECE_UNDERLINE + text.replace(_SCREAMING_SNAKE_CASE			,    """ """)
								return super().tokenize(_SCREAMING_SNAKE_CASE			,    **_SCREAMING_SNAKE_CASE)




		def 	_snake_case	(  self					:List[Any]			,    _SCREAMING_SNAKE_CASE					:List[str])					->			int:






								'''simple docstring'''






								if not self.legacy:
														UpperCamelCase_     :	int					     =     text.startswith(_SCREAMING_SNAKE_CASE)
														if is_first:
																				UpperCamelCase_     :	Any					     =     text[1:]

								UpperCamelCase_     :	Optional[int]					     =     self.sp_model.encode(_SCREAMING_SNAKE_CASE			,    out_type=_SCREAMING_SNAKE_CASE)

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




		def 	_snake_case	(  self					:str			,    _SCREAMING_SNAKE_CASE					:Any)					->			int:






								'''simple docstring'''






								return self.sp_model.piece_to_id(_SCREAMING_SNAKE_CASE)




		def 	_snake_case	(  self					:Tuple			,    _SCREAMING_SNAKE_CASE					:Tuple)					->			Optional[int]:






								'''simple docstring'''






								UpperCamelCase_     :	Union[str, Any]					     =     self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE)
								return token




		def 	_snake_case	(  self					:str			,    _SCREAMING_SNAKE_CASE					:Dict)					->			Tuple:






								'''simple docstring'''






								UpperCamelCase_     :	List[Any]					     =     []
								UpperCamelCase_     :	Union[str, Any]					     =     """"""
								UpperCamelCase_     :	List[Any]					     =     False
								for i, token in enumerate(_SCREAMING_SNAKE_CASE):
														# 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(_SCREAMING_SNAKE_CASE) + token
																				UpperCamelCase_     :	Optional[Any]					     =     True
																				UpperCamelCase_     :	str					     =     []
														else:
																				current_sub_tokens.append(_SCREAMING_SNAKE_CASE)
																				UpperCamelCase_     :	Any					     =     False
								out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE)
								return out_string




		def 	_snake_case	(  self					:str			,    _SCREAMING_SNAKE_CASE					:str			,    _SCREAMING_SNAKE_CASE					:Optional[str] = None)					->			Tuple[str]:






								'''simple docstring'''






								if not os.path.isdir(_SCREAMING_SNAKE_CASE):
														logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
														return
								UpperCamelCase_     :	Tuple					     =     os.path.join(
								    _SCREAMING_SNAKE_CASE			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

								if os.path.abspath(self.vocab_file) != os.path.abspath(_SCREAMING_SNAKE_CASE) and os.path.isfile(self.vocab_file):
														copyfile(self.vocab_file			,    _SCREAMING_SNAKE_CASE)
								elif not os.path.isfile(self.vocab_file):
														with open(_SCREAMING_SNAKE_CASE			,    """wb""") as fi:
																				UpperCamelCase_     :	Optional[int]					     =     self.sp_model.serialized_model_proto()
																				fi.write(_SCREAMING_SNAKE_CASE)

								return (out_vocab_file,)




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






								'''simple docstring'''






								UpperCamelCase_     :	int					     =     [self.bos_token_id] if self.add_bos_token else []
								UpperCamelCase_     :	List[str]					     =     [self.eos_token_id] if self.add_eos_token else []

								UpperCamelCase_     :	Dict					     =     bos_token_id + token_ids_a + eos_token_id

								if token_ids_a is not None:
														UpperCamelCase_     :	int					     =     output + bos_token_id + token_ids_a + eos_token_id

								return output




		def 	_snake_case	(  self					:List[Any]			,    _SCREAMING_SNAKE_CASE					:List[int]			,    _SCREAMING_SNAKE_CASE					:Optional[List[int]] = None			,    _SCREAMING_SNAKE_CASE					:bool = False)					->			List[int]:






								'''simple docstring'''






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

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

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




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






								'''simple docstring'''






								UpperCamelCase_     :	Optional[int]					     =     [self.bos_token_id] if self.add_bos_token else []
								UpperCamelCase_     :	str					     =     [self.eos_token_id] if self.add_eos_token else []

								UpperCamelCase_     :	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 	_snake_case	(  self					:Union[str, Any]			,    _SCREAMING_SNAKE_CASE					:"Conversation")					->			List[int]:






								'''simple docstring'''






								UpperCamelCase_     :	Optional[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...)""")

								UpperCamelCase_     :	List[int]					     =     []
								if len(conversation.past_user_inputs) > 0:
														if not conversation.past_user_inputs[0].startswith(_SCREAMING_SNAKE_CASE) or E_SYS not in conversation.past_user_inputs[0]:
																				UpperCamelCase_     :	Optional[int]					     =     (
																				    B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
																				)
								elif not dialogue[0][1].startswith(_SCREAMING_SNAKE_CASE) or E_SYS not in dialogue[0][1]:
														UpperCamelCase_     :	Tuple					     =     (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=_SCREAMING_SNAKE_CASE)
								        + [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=_SCREAMING_SNAKE_CASE)
								return dialog_tokens






'''simple docstring'''


__SCREAMING_SNAKE_CASE						=      [chr(i) for i in range(32, 126)]
__SCREAMING_SNAKE_CASE						=      list(range(len(alphabets)))
__SCREAMING_SNAKE_CASE						=      list(range(len(alphabets)))
__SCREAMING_SNAKE_CASE						=      list(range(len(alphabets)))
__SCREAMING_SNAKE_CASE						=      list(reversed(range(len(alphabets))))
__SCREAMING_SNAKE_CASE						=      []
__SCREAMING_SNAKE_CASE						=      __SCREAMING_SNAKE_CASE						=      __SCREAMING_SNAKE_CASE						=      0
def 					__magic_name__(       ):
						global gear_one_pos
						global gear_two_pos
						global gear_three_pos
						UpperCamelCase_     :	List[Any]					     =     gear_one[0]
						gear_one.append(UpperCAmelCase__	)
						del gear_one[0]
						gear_one_pos += 1
						if gear_one_pos % int(len(UpperCAmelCase__	)	) == 0:
												UpperCamelCase_     :	List[str]					     =     gear_two[0]
												gear_two.append(UpperCAmelCase__	)
												del gear_two[0]
												gear_two_pos += 1
												if gear_two_pos % int(len(UpperCAmelCase__	)	) == 0:
																		UpperCamelCase_     :	List[Any]					     =     gear_three[0]
																		gear_three.append(UpperCAmelCase__	)
																		del gear_three[0]
																		gear_three_pos += 1
def 					__magic_name__(       UpperCAmelCase__ :       int	):
						UpperCamelCase_     :	Any					     =     alphabets.index(UpperCAmelCase__	)
						UpperCamelCase_     :	List[str]					     =     gear_one[target]
						UpperCamelCase_     :	str					     =     gear_two[target]
						UpperCamelCase_     :	int					     =     gear_three[target]
						UpperCamelCase_     :	Union[str, Any]					     =     reflector[target]
						UpperCamelCase_     :	Dict					     =     gear_three.index(UpperCAmelCase__	)
						UpperCamelCase_     :	Optional[int]					     =     gear_two.index(UpperCAmelCase__	)
						UpperCamelCase_     :	Optional[int]					     =     gear_one.index(UpperCAmelCase__	)
						code.append(alphabets[target]	)
						rotator()


if __name__ == "__main__":
	__SCREAMING_SNAKE_CASE						=      list(input("Type your message:\n"))
	while True:
		try:
			__SCREAMING_SNAKE_CASE						=      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!"
	)




