




import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase__    :							Dict       		=     logging.get_logger(__name__)

UpperCAmelCase__    :							int       		=     {
    'source_spm': 'source.spm',
    'target_spm': 'target.spm',
    'vocab': 'vocab.json',
    'target_vocab_file': 'target_vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCAmelCase__    :							Optional[int]       		=     {
    'source_spm': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm'
    },
    'target_spm': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm'
    },
    'vocab': {
        'Helsinki-NLP/opus-mt-en-de': 'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json'
    },
    'tokenizer_config_file': {
        'Helsinki-NLP/opus-mt-en-de': (
            'https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json'
        )
    },
}

UpperCAmelCase__    :							List[str]       		=     {'Helsinki-NLP/opus-mt-en-de': 512}
UpperCAmelCase__    :							Optional[int]       		=     {}

class   UpperCAmelCase    (      A ):
   __SCREAMING_SNAKE_CASE		:				Union[str, Any]      					=       VOCAB_FILES_NAMES
   __SCREAMING_SNAKE_CASE		:				Union[str, Any]      					=       PRETRAINED_VOCAB_FILES_MAP
   __SCREAMING_SNAKE_CASE		:				str      					=       PRETRAINED_INIT_CONFIGURATION
   __SCREAMING_SNAKE_CASE		:				int      					=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __SCREAMING_SNAKE_CASE		:				Tuple      					=       ["input_ids", "attention_mask"]
   __SCREAMING_SNAKE_CASE		:				List[str]      					=       re.compile(">>.+<<" )  # type: re.Pattern






   def __init__(						self :							Optional[int]    ,       UpperCamelCase_ :							Dict    ,       UpperCamelCase_ :							Dict    ,       UpperCamelCase_ :							Union[str, Any]    ,       UpperCamelCase_ :							List[Any]=None    ,       UpperCamelCase_ :							Dict=None    ,       UpperCamelCase_ :							List[Any]=None    ,       UpperCamelCase_ :							int="<unk>"    ,       UpperCamelCase_ :							Union[str, Any]="</s>"    ,       UpperCamelCase_ :							List[str]="<pad>"    ,       UpperCamelCase_ :							str=5_12    ,       UpperCamelCase_ :							Optional[Dict[str, Any]] = None    ,       UpperCamelCase_ :							Optional[Any]=False    ,       **UpperCamelCase_ :							List[str]    ,       )->      None:
     _lowercase:			Union[str, Any]      =     {} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
         source_lang=UpperCamelCase_    ,       target_lang=UpperCamelCase_    ,       unk_token=UpperCamelCase_    ,       eos_token=UpperCamelCase_    ,       pad_token=UpperCamelCase_    ,       model_max_length=UpperCamelCase_    ,       sp_model_kwargs=self.sp_model_kwargs    ,       target_vocab_file=UpperCamelCase_    ,       separate_vocabs=UpperCamelCase_    ,       **UpperCamelCase_    ,       )
     assert Path(UpperCamelCase_  ).exists(), f'cannot find spm source {source_spm}'

     _lowercase:			Dict      =     separate_vocabs
     _lowercase:			Optional[Any]      =     load_json(UpperCamelCase_  )
     if self.unk_token not in self.encoder:
       raise KeyError('<unk> token must be in vocab'  )
     assert self.pad_token in self.encoder

     if separate_vocabs:
       _lowercase:			Any      =     load_json(UpperCamelCase_  )
       _lowercase:			Any      =     {v: k for k, v in self.target_encoder.items()}
       _lowercase:			List[Any]      =     []
     else:
       _lowercase:			List[str]      =     {v: k for k, v in self.encoder.items()}
       _lowercase:			list      =     [k for k in self.encoder if k.startswith('>>'  ) and k.endswith('<<'  )]

     _lowercase:			Tuple      =     source_lang
     _lowercase:			Dict      =     target_lang
     _lowercase:			List[Any]      =     [source_spm, target_spm]

     # load SentencePiece model for pre-processing
     _lowercase:			Optional[int]      =     load_spm(UpperCamelCase_    ,       self.sp_model_kwargs  )
     _lowercase:			str      =     load_spm(UpperCamelCase_    ,       self.sp_model_kwargs  )
     _lowercase:			int      =     self.spm_source
     _lowercase:			List[Any]      =     self.encoder

     # Multilingual target side: default to using first supported language code.

     self._setup_normalizer()






   def 			_a    (						self :							Optional[int]  )->      Any:
     try:
       from sacremoses import MosesPunctNormalizer

       _lowercase:			Union[str, Any]      =     MosesPunctNormalizer(self.source_lang  ).normalize
     except (ImportError, FileNotFoundError):
       warnings.warn('Recommended: pip install sacremoses.'  )
       _lowercase:			Optional[int]      =     lambda UpperCamelCase_  : x






   def 			_a    (						self :							List[str]    ,       UpperCamelCase_ :							str  )->      str:
     return self.punc_normalizer(UpperCamelCase_  ) if x else ""






   def 			_a    (						self :							List[str]    ,       UpperCamelCase_ :							Tuple  )->      List[str]:
     return self.current_encoder.get(UpperCamelCase_    ,       self.current_encoder[self.unk_token]  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							str  )->      Union[str, Any]:
     _lowercase:			List[Any]      =     self.language_code_re.match(UpperCamelCase_  )
     _lowercase:			list      =     [match.group(0  )] if match else []
     return code, self.language_code_re.sub(''    ,       UpperCamelCase_  )






   def 			_a    (						self :							str    ,       UpperCamelCase_ :							str  )->      List[str]:
     _lowercase  ,       _lowercase:			Optional[int]      =     self.remove_language_code(UpperCamelCase_  )
     _lowercase:			Tuple      =     self.current_spm.encode(UpperCamelCase_    ,       out_type=UpperCamelCase_  )
     return code + pieces






   def 			_a    (						self :							Optional[Any]    ,       UpperCamelCase_ :							int  )->      str:
     return self.decoder.get(UpperCamelCase_    ,       self.unk_token  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							Union[str, Any]    ,       **UpperCamelCase_ :							Any  )->      Any:
     return super().batch_decode(UpperCamelCase_    ,       **UpperCamelCase_  )






   def 			_a    (						self :							List[str]    ,       UpperCamelCase_ :							Union[str, Any]    ,       **UpperCamelCase_ :							str  )->      int:
     return super().decode(UpperCamelCase_    ,       **UpperCamelCase_  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							List[str]  )->      str:
     _lowercase:			Any      =     self.spm_source if self._decode_use_source_tokenizer else self.spm_target
     _lowercase:			Union[str, Any]      =     []
     _lowercase:			Any      =     ''
     for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
         out_string += sp_model.decode_pieces(UpperCamelCase_  ) + token + " "
         _lowercase:			Any      =     []
       else:
         current_sub_tokens.append(UpperCamelCase_  )
     out_string += sp_model.decode_pieces(UpperCamelCase_  )
     return out_string.strip()






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							List[Any]    ,       UpperCamelCase_ :							List[str]=None  )->      List[int]:
     if token_ids_a is None:
       return token_ids_a + [self.eos_token_id]
     # We don't expect to process pairs, but leave the pair logic for API consistency
     return token_ids_a + token_ids_a + [self.eos_token_id]






   def 			_a    (						self :							Union[str, Any]  )->      Dict:
     _lowercase:			int      =     self.spm_source
     _lowercase:			Optional[int]      =     self.encoder






   def 			_a    (						self :							str  )->      Optional[Any]:
     _lowercase:			int      =     self.spm_target
     if self.separate_vocabs:
       _lowercase:			Any      =     self.target_encoder






   @property
   def 			_a    (						self :							int  )->      int:
     return len(self.encoder  )






   def 			_a    (						self :							Tuple    ,       UpperCamelCase_ :							str    ,       UpperCamelCase_ :							Optional[str] = None  )->      Tuple[str]:
     if not os.path.isdir(UpperCamelCase_  ):
       logger.error(f'Vocabulary path ({save_directory}) should be a directory'  )
       return
     _lowercase:			List[str]      =     []

     if self.separate_vocabs:
       _lowercase:			Optional[Any]      =     os.path.join(
           UpperCamelCase_    ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']    ,       )
       _lowercase:			List[Any]      =     os.path.join(
           UpperCamelCase_    ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['target_vocab_file']    ,       )
       save_json(self.encoder    ,       UpperCamelCase_  )
       save_json(self.target_encoder    ,       UpperCamelCase_  )
       saved_files.append(UpperCamelCase_  )
       saved_files.append(UpperCamelCase_  )
     else:
       _lowercase:			Any      =     os.path.join(
           UpperCamelCase_    ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab']  )
       save_json(self.encoder    ,       UpperCamelCase_  )
       saved_files.append(UpperCamelCase_  )

     for spm_save_filename, spm_orig_path, spm_model in zip(
         [VOCAB_FILES_NAMES['source_spm'], VOCAB_FILES_NAMES['target_spm']]    ,       self.spm_files    ,       [self.spm_source, self.spm_target]    ,       ):
       _lowercase:			Union[str, Any]      =     os.path.join(
           UpperCamelCase_    ,       (filename_prefix + '-' if filename_prefix else '') + spm_save_filename  )
       if os.path.abspath(UpperCamelCase_  ) != os.path.abspath(UpperCamelCase_  ) and os.path.isfile(UpperCamelCase_  ):
         copyfile(UpperCamelCase_    ,       UpperCamelCase_  )
         saved_files.append(UpperCamelCase_  )
       elif not os.path.isfile(UpperCamelCase_  ):
         with open(UpperCamelCase_    ,       'wb'  ) as fi:
           _lowercase:			str      =     spm_model.serialized_model_proto()
           fi.write(UpperCamelCase_  )
         saved_files.append(UpperCamelCase_  )

     return tuple(UpperCamelCase_  )






   def 			_a    (						self :							Union[str, Any]  )->      Dict:
     return self.get_src_vocab()






   def 			_a    (						self :							Union[str, Any]  )->      int:
     return dict(self.encoder    ,       **self.added_tokens_encoder  )






   def 			_a    (						self :							Any  )->      List[Any]:
     return dict(self.target_encoder    ,       **self.added_tokens_decoder  )






   def __getstate__(						self :							List[Any]  )->      Dict:
     _lowercase:			str      =     self.__dict__.copy()
     state.update(
         {k: None for k in ['spm_source', 'spm_target', 'current_spm', 'punc_normalizer', 'target_vocab_file']}  )
     return state






   def __setstate__(						self :							Union[str, Any]    ,       UpperCamelCase_ :							Dict  )->      None:
     _lowercase:			int      =     d

     # for backward compatibility
     if not hasattr(self    ,       'sp_model_kwargs'  ):
       _lowercase:			Union[str, Any]      =     {}

     _lowercase  ,       _lowercase:			List[str]      =     (load_spm(UpperCamelCase_    ,       self.sp_model_kwargs  ) for f in self.spm_files)
     _lowercase:			int      =     self.spm_source
     self._setup_normalizer()






   def 			_a    (						self :							Optional[int]    ,       *UpperCamelCase_ :							int    ,       **UpperCamelCase_ :							int  )->      int:
     return 1






   def 			_a    (						self :							Dict    ,       UpperCamelCase_ :							Dict  )->      List[Any]:
     _lowercase:			Tuple      =     set(self.all_special_ids  )  # call it once instead of inside list comp
     all_special_ids.remove(self.unk_token_id  )  # <unk> is only sometimes special
     return [1 if x in all_special_ids else 0 for x in seq]






   def 			_a    (						self :							List[str]    ,       UpperCamelCase_ :							List    ,       UpperCamelCase_ :							Optional[List] = None    ,       UpperCamelCase_ :							bool = False  )->      List[int]:
     if already_has_special_tokens:
       return self._special_token_mask(UpperCamelCase_  )
     elif token_ids_a is None:
       return self._special_token_mask(UpperCamelCase_  ) + [1]
     else:
       return self._special_token_mask(token_ids_a + token_ids_a  ) + [1]


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		sentencepiece.SentencePieceProcessor:





  """simple docstring"""





  _lowercase:			List[str]      =     sentencepiece.SentencePieceProcessor(**UpperCamelCase				)
  spm.Load(UpperCamelCase				)
  return spm


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		None:





  """simple docstring"""





  with open(UpperCamelCase       ,  'w'				) as f:
    json.dump(UpperCamelCase       ,  UpperCamelCase       ,  indent=2				)





def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Union[Dict, List]:





  """simple docstring"""





  with open(UpperCamelCase       ,  'r'				) as f:
    return json.load(UpperCamelCase				)






import os
import sys

from . import rsa_key_generator as rkg

UpperCAmelCase__    :							str       		=     128
UpperCAmelCase__    :							int       		=     256


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase = DEFAULT_BLOCK_SIZE				)      ->		list[int]:





  """simple docstring"""





  _lowercase:			List[str]      =     message.encode('ascii'				)

  _lowercase:			str      =     []
  for block_start in range(0       ,  len(UpperCamelCase				)       ,  UpperCamelCase				):
    _lowercase:			Optional[int]      =     0
    for i in range(UpperCamelCase       ,  min(block_start + block_size       ,  len(UpperCamelCase				)				)				):
      block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
    block_ints.append(UpperCamelCase				)
  return block_ints


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase = DEFAULT_BLOCK_SIZE				)      ->		str:





  """simple docstring"""





  _lowercase:			list[str]      =     []
  for block_int in block_ints:
    _lowercase:			list[str]      =     []
    for i in range(block_size - 1       ,  -1       ,  -1				):
      if len(UpperCamelCase				) + i < message_length:
        _lowercase:			Optional[Any]      =     block_int // (BYTE_SIZE**i)
        _lowercase:			Dict      =     block_int % (BYTE_SIZE**i)
        block_message.insert(0       ,  chr(UpperCamelCase				)				)
    message.extend(UpperCamelCase				)
  return "".join(UpperCamelCase				)


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase = DEFAULT_BLOCK_SIZE				)      ->		list[int]:





  """simple docstring"""





  _lowercase:			Optional[int]      =     []
  _lowercase  ,       _lowercase:			str      =     key

  for block in get_blocks_from_text(UpperCamelCase       ,  UpperCamelCase				):
    encrypted_blocks.append(pow(UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)				)
  return encrypted_blocks


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase = DEFAULT_BLOCK_SIZE       ,  )      ->		str:





  """simple docstring"""





  _lowercase:			Optional[int]      =     []
  _lowercase  ,       _lowercase:			str      =     key
  for block in encrypted_blocks:
    decrypted_blocks.append(pow(UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)				)
  return get_text_from_blocks(UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		tuple[int, int, int]:





  """simple docstring"""





  with open(UpperCamelCase				) as fo:
    _lowercase:			Any      =     fo.read()
  _lowercase  ,       _lowercase  ,       _lowercase:			Optional[Any]      =     content.split(','				)
  return (int(UpperCamelCase				), int(UpperCamelCase				), int(UpperCamelCase				))


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase = DEFAULT_BLOCK_SIZE       ,  )      ->		str:





  """simple docstring"""





  _lowercase  ,       _lowercase  ,       _lowercase:			int      =     read_key_file(UpperCamelCase				)
  if key_size < block_size * 8:
    sys.exit(
        'ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '
        'requires the block size to be equal to or greater than the key size. '
        'Either decrease the block size or use different keys.'.format(
            block_size * 8       ,  UpperCamelCase				)				)

  _lowercase:			int      =     [str(UpperCamelCase				) for i in encrypt_message(UpperCamelCase       ,  (n, e)       ,  UpperCamelCase				)]

  _lowercase:			List[Any]      =     ','.join(UpperCamelCase				)
  _lowercase:			Tuple      =     F'{len(UpperCamelCase				)}_{block_size}_{encrypted_content}'
  with open(UpperCamelCase       ,  'w'				) as fo:
    fo.write(UpperCamelCase				)
  return encrypted_content


def 		_lowerCamelCase					(       UpperCamelCase       ,  UpperCamelCase				)      ->		str:





  """simple docstring"""





  _lowercase  ,       _lowercase  ,       _lowercase:			Tuple      =     read_key_file(UpperCamelCase				)
  with open(UpperCamelCase				) as fo:
    _lowercase:			Optional[Any]      =     fo.read()
  _lowercase  ,       _lowercase  ,       _lowercase:			Union[str, Any]      =     content.split('_'				)
  _lowercase:			List[Any]      =     int(UpperCamelCase				)
  _lowercase:			Dict      =     int(UpperCamelCase				)

  if key_size < block_size * 8:
    sys.exit(
        'ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '
        'requires the block size to be equal to or greater than the key size. '
        'Did you specify the correct key file and encrypted file?'.format(
            block_size * 8       ,  UpperCamelCase				)				)

  _lowercase:			Union[str, Any]      =     []
  for block in encrypted_message.split(','				):
    encrypted_blocks.append(int(UpperCamelCase				)				)

  return decrypt_message(UpperCamelCase       ,  UpperCamelCase       ,  (n, d)       ,  UpperCamelCase				)


def 		_lowerCamelCase					(       )      ->		None:





  """simple docstring"""





  _lowercase:			Tuple      =     'encrypted_file.txt'
  _lowercase:			Optional[Any]      =     input(r'Encrypt\Decrypt [e\d]: '				)

  if response.lower().startswith('e'				):
    _lowercase:			Optional[Any]      =     'encrypt'
  elif response.lower().startswith('d'				):
    _lowercase:			Union[str, Any]      =     'decrypt'

  if mode == "encrypt":
    if not os.path.exists('rsa_pubkey.txt'				):
      rkg.make_key_files('rsa'       ,  1_024				)

    _lowercase:			Union[str, Any]      =     input('\nEnter message: '				)
    _lowercase:			Tuple      =     'rsa_pubkey.txt'
    print(F'Encrypting and writing to {filename}...'				)
    _lowercase:			Optional[Any]      =     encrypt_and_write_to_file(UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase				)

    print('\nEncrypted text:'				)
    print(UpperCamelCase				)

  elif mode == "decrypt":
    _lowercase:			Optional[Any]      =     'rsa_privkey.txt'
    print(F'Reading from {filename} and decrypting...'				)
    _lowercase:			int      =     read_from_file_and_decrypt(UpperCamelCase       ,  UpperCamelCase				)
    print('writing decryption to rsa_decryption.txt...'				)
    with open('rsa_decryption.txt'       ,  'w'				) as dec:
      dec.write(UpperCamelCase				)

    print('\nDecryption:'				)
    print(UpperCamelCase				)


if __name__ == "__main__":
   main()
