



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

import sentencepiece as spm

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


_lowercase		:				List[str]      		=logging.get_logger(__name__)

_lowercase		:				Optional[Any]      		="▁"

_lowercase		:				Union[str, Any]      		={"vocab_file": "sentencepiece.bpe.model", "monolingual_vocab_file": "dict.txt"}

_lowercase		:				Optional[Any]      		={
    "vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model",
    },
    "monolingual_vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt",
    },
}

_lowercase		:				Tuple      		={"vinai/bartpho-syllable": 1024}

class        snake_case__    (A__		):







						"""simple docstring"""




						__lowerCAmelCase					:int      =					VOCAB_FILES_NAMES
						__lowerCAmelCase					:Any      =					PRETRAINED_VOCAB_FILES_MAP
						__lowerCAmelCase					:str      =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__lowerCAmelCase					:List[str]      =					["input_ids", "attention_mask"]

						def __init__(       self ,       __lowercase ,       __lowercase ,       __lowercase="<s>" ,       __lowercase="</s>" ,       __lowercase="</s>" ,       __lowercase="<s>" ,       __lowercase="<unk>" ,       __lowercase="<pad>" ,       __lowercase="<mask>" ,       __lowercase = None ,       **__lowercase ,       ) ->				None:
									"""simple docstring"""




									a__       :						List[Any]							=  AddedToken(__lowercase ,       lstrip=__lowercase ,       rstrip=__lowercase  ) if isinstance(__lowercase ,       __lowercase  ) else mask_token

									a__       :						List[Any]							=  {} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    bos_token=__lowercase ,       eos_token=__lowercase ,       unk_token=__lowercase ,       sep_token=__lowercase ,       cls_token=__lowercase ,       pad_token=__lowercase ,       mask_token=__lowercase ,       sp_model_kwargs=self.sp_model_kwargs ,       **__lowercase ,       )

									a__       :						int							=  vocab_file
									a__       :						Optional[int]							=  monolingual_vocab_file
									a__       :						Any							=  spm.SentencePieceProcessor(**self.sp_model_kwargs  )
									self.sp_model.Load(str(__lowercase  )  )

									# Load the reduced vocab

									# Keep order of special tokens for backward compatibility
									a__       :						Union[str, Any]							=  {}
									a__       :						int							=  0
									for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
												if str(__lowercase  ) not in self.fairseq_tokens_to_ids:
															a__       :						str							=  cnt
															cnt += 1
									with open(__lowercase ,       """r""" ,       encoding="""utf-8"""  ) as f:
												for line in f.readlines():
															a__       :						int							=  line.strip().split()[0]
															a__       :						int							=  len(self.fairseq_tokens_to_ids  )
									if str(__lowercase  ) not in self.fairseq_tokens_to_ids:
												a__       :						Any							=  len(self.fairseq_tokens_to_ids  )

									a__       :						Optional[int]							=  {v: k for k, v in self.fairseq_tokens_to_ids.items()}

						def __getstate__(       self  ) ->				str:
									"""simple docstring"""




									a__       :						List[str]							=  self.__dict__.copy()
									a__       :						List[Any]							=  None
									a__       :						int							=  self.sp_model.serialized_model_proto()
									return state

						def __setstate__(       self ,       __lowercase  ) ->				Tuple:
									"""simple docstring"""




									a__       :						Optional[Any]							=  d

									# for backward compatibility
									if not hasattr(self ,       """sp_model_kwargs"""  ):
												a__       :						Dict							=  {}

									a__       :						Tuple							=  spm.SentencePieceProcessor(**self.sp_model_kwargs  )
									self.sp_model.LoadFromSerializedProto(self.sp_model_proto  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase = None  ) ->				List[int]:
									"""simple docstring"""




									if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									a__       :						Dict							=  [self.cls_token_id]
									a__       :						List[Any]							=  [self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase = None ,       __lowercase = False  ) ->				List[int]:
									"""simple docstring"""




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

									if token_ids_a is None:
												return [1] + ([0] * len(__lowercase  )) + [1]
									return [1] + ([0] * len(__lowercase  )) + [1, 1] + ([0] * len(__lowercase  )) + [1]

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase = None  ) ->				List[int]:
									"""simple docstring"""




									a__       :						Union[str, Any]							=  [self.sep_token_id]
									a__       :						str							=  [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]

						@property
						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				Dict:
									"""simple docstring"""




									return len(self.fairseq_ids_to_tokens  )

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				Union[str, Any]:
									"""simple docstring"""




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

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				List[str]:
									"""simple docstring"""




									return self.sp_model.encode(__lowercase ,       out_type=__lowercase  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				List[str]:
									"""simple docstring"""




									if token in self.fairseq_tokens_to_ids:
												return self.fairseq_tokens_to_ids[token]
									else:
												return self.unk_token_id

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				Dict:
									"""simple docstring"""




									return self.fairseq_ids_to_tokens[index]

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				List[str]:
									"""simple docstring"""




									a__       :						Optional[Any]							=  """""".join(__lowercase  ).replace(__lowercase ,       """ """  ).strip()
									return out_string

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase ,       __lowercase = None  ) ->				Tuple[str]:
									"""simple docstring"""




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

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

									if os.path.abspath(self.monolingual_vocab_file  ) != os.path.abspath(
									    __lowercase  ) and os.path.isfile(self.monolingual_vocab_file  ):
												copyfile(self.monolingual_vocab_file ,       __lowercase  )
									elif not os.path.isfile(self.monolingual_vocab_file  ):
												with open(__lowercase ,       """w""" ,       encoding="""utf-8"""  ) as fp:
															for token in self.fairseq_tokens_to_ids:
																		if token not in self.all_special_tokens:
																					fp.write(F'''{str(__lowercase  )} \n'''  )

									return out_vocab_file, out_monolingual_vocab_file









from string import ascii_uppercase

_lowercase		:				str      		={char: i for i, char in enumerate(ascii_uppercase)}
_lowercase		:				Dict      		=dict(enumerate(ascii_uppercase))

def      lowerCAmelCase_					(  _lowercase    :       str						,       _lowercase    :       str)							->	str:







			"""simple docstring"""
			a__       :						Any							=  len(_lowercase)
			a__       :						Optional[int]							=  0
			while True:
						if x == i:
									a__       :						Optional[Any]							=  0
						if len(_lowercase) == len(_lowercase):
									break
						key += key[i]
						i += 1
			return key

def      lowerCAmelCase_					(  _lowercase    :       str						,       _lowercase    :       str)							->	str:







			"""simple docstring"""
			a__       :						Tuple							=  """"""
			a__       :						str							=  0
			for letter in message:
						if letter == " ":
									cipher_text += " "
						else:
									a__       :						List[str]							=  (dicta[letter] - dicta[key_new[i]]) % 26
									i += 1
									cipher_text += dicta[x]
			return cipher_text

def      lowerCAmelCase_					(  _lowercase    :       str						,       _lowercase    :       str)							->	str:







			"""simple docstring"""
			a__       :						int							=  """"""
			a__       :						int							=  0
			for letter in cipher_text:
						if letter == " ":
									or_txt += " "
						else:
									a__       :						Dict							=  (dicta[letter] + dicta[key_new[i]] + 26) % 26
									i += 1
									or_txt += dicta[x]
			return or_txt

def      lowerCAmelCase_					(  )							->	None:







			"""simple docstring"""
			a__       :						List[Any]							=  """THE GERMAN ATTACK"""
			a__       :						List[Any]							=  """SECRET"""
			a__       :						Tuple							=  generate_key(_lowercase						,       _lowercase)
			a__       :						str							=  cipher_text(_lowercase						,       _lowercase)
			print(F'''Encrypted Text = {s}''')
			print(F'''Original Text = {original_text(_lowercase						,       _lowercase)}''')


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()




