

"""simple docstring"""




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

import sentencepiece

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


__UpperCAmelCase			=					logging.get_logger(__name__)

__UpperCAmelCase			=					'▁'

__UpperCAmelCase			=					{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__UpperCAmelCase			=					{
    'vocab_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json',
    },
    'spm_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_config_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json',
    },
}

__UpperCAmelCase			=					{
    'facebook/m2m100_418M': 1024,
}

# fmt: off
__UpperCAmelCase			=					{
    'm2m100': ['af', 'am', 'ar', 'ast', 'az', 'ba', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'ceb', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'ilo', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'lb', 'lg', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'oc', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'th', 'tl', 'tn', 'tr', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zh', 'zu'],
    'wmt21': ['en', 'ha', 'is', 'ja', 'cs', 'ru', 'zh', 'de']
}







class   __lowercase      (     __lowerCamelCase       ):
  snake_case_												=							VOCAB_FILES_NAMES
  snake_case_												=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case_												=							PRETRAINED_VOCAB_FILES_MAP
  snake_case_												=							["""input_ids""", """attention_mask"""]

  snake_case_												=							[]
  snake_case_												=							[]

  def __init__(	self		:      int       ,A		:      List[Any]       ,A		:      str       ,A		:      List[Any]=None       ,A		:      Dict=None       ,A		:      str="<s>"       ,A		:      int="</s>"       ,A		:      List[Any]="</s>"       ,A		:      Optional[Any]="<pad>"       ,A		:      List[str]="<unk>"       ,A		:      Optional[Any]="m2m100"       ,A		:      Optional[Dict[str, Any]] = None       ,A		:      List[str]=8       ,**A		:      Optional[Any]       ,):






   '''simple docstring'''
   UpperCAmelCase__       :	List[Any]        =       {} if sp_model_kwargs is None else sp_model_kwargs

   UpperCAmelCase__       :	List[str]        =       language_codes
   UpperCAmelCase__       :	Dict        =       FAIRSEQ_LANGUAGE_CODES[language_codes]
   UpperCAmelCase__       :	Optional[int]        =       {lang_code: f"__{lang_code}__" for lang_code in fairseq_language_code}

   UpperCAmelCase__       :	Tuple        =       kwargs.get("""additional_special_tokens"""       ,[]     )
   kwargs["additional_special_tokens"] += [
       self.get_lang_token(A     )
       for lang_code in fairseq_language_code
       if self.get_lang_token(A     ) not in kwargs["additional_special_tokens"]
   ]

   super().__init__(
       src_lang=A       ,tgt_lang=A       ,bos_token=A       ,eos_token=A       ,sep_token=A       ,unk_token=A       ,pad_token=A       ,language_codes=A       ,sp_model_kwargs=self.sp_model_kwargs       ,num_madeup_words=A       ,**A       ,)

   UpperCAmelCase__       :	str        =       vocab_file
   UpperCAmelCase__       :	Dict        =       load_json(A     )
   UpperCAmelCase__       :	Optional[int]        =       {v: k for k, v in self.encoder.items()}
   UpperCAmelCase__       :	Dict        =       spm_file
   UpperCAmelCase__       :	List[Any]        =       load_spm(A       ,self.sp_model_kwargs     )

   UpperCAmelCase__       :	Dict        =       len(self.encoder     )

   UpperCAmelCase__       :	Dict        =       {
       self.get_lang_token(A     ): self.encoder_size + i for i, lang_code in enumerate(A     )
   }
   UpperCAmelCase__       :	Union[str, Any]        =       {lang_code: self.encoder_size + i for i, lang_code in enumerate(A     )}
   UpperCAmelCase__       :	Union[str, Any]        =       {v: k for k, v in self.lang_token_to_id.items()}

   UpperCAmelCase__       :	List[str]        =       src_lang if src_lang is not None else """en"""
   UpperCAmelCase__       :	int        =       tgt_lang
   UpperCAmelCase__       :	int        =       self.get_lang_id(self._src_lang     )
   self.set_src_lang_special_tokens(self._src_lang     )

   UpperCAmelCase__       :	List[str]        =       num_madeup_words

  @property
  def  __lowercase							(	self		:      Union[str, Any]     ):






   '''simple docstring'''
   return len(self.encoder     ) + len(self.lang_token_to_id     )

  @property
  def  __lowercase							(	self		:      Dict     ):






   '''simple docstring'''
   return self._src_lang

  @src_lang.setter
  def  __lowercase							(	self		:      List[str]       ,A		:      str     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Tuple        =       new_src_lang
   self.set_src_lang_special_tokens(self._src_lang     )

  def  __lowercase							(	self		:      Optional[Any]       ,A		:      str     ):






   '''simple docstring'''
   return self.sp_model.encode(A       ,out_type=A     )

  def  __lowercase							(	self		:      List[str]       ,A		:      Dict     ):






   '''simple docstring'''
   if token in self.lang_token_to_id:
    return self.lang_token_to_id[token]
   return self.encoder.get(A       ,self.encoder[self.unk_token]     )

  def  __lowercase							(	self		:      Any       ,A		:      int     ):






   '''simple docstring'''
   if index in self.id_to_lang_token:
    return self.id_to_lang_token[index]
   return self.decoder.get(A       ,self.unk_token     )

  def  __lowercase							(	self		:      Tuple       ,A		:      List[str]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[Any]        =       []
   UpperCAmelCase__       :	str        =       """"""
   for token in tokens:
    # make sure that special tokens are not decoded using sentencepiece model
    if token in self.all_special_tokens:
     out_string += self.sp_model.decode(A     ) + token
     UpperCAmelCase__       :	str        =       []
    else:
     current_sub_tokens.append(A     )
   out_string += self.sp_model.decode(A     )
   return out_string.strip()

  def  __lowercase							(	self		:      Optional[int]       ,A		:      List[int]       ,A		:      Optional[List[int]] = None       ,A		:      bool = False     ):






   '''simple docstring'''

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

   UpperCAmelCase__       :	Union[str, Any]        =       [1] * len(self.prefix_tokens     )
   UpperCAmelCase__       :	Optional[int]        =       [1] * len(self.suffix_tokens     )
   if token_ids_a is None:
    return prefix_ones + ([0] * len(A     )) + suffix_ones
   return prefix_ones + ([0] * len(A     )) + ([0] * len(A     )) + suffix_ones

  def  __lowercase							(	self		:      Tuple       ,A		:      List[int]       ,A		:      Optional[List[int]] = None     ):






   '''simple docstring'''
   if token_ids_a is None:
    return self.prefix_tokens + token_ids_a + self.suffix_tokens
   # We don't expect to process pairs, but leave the pair logic for API consistency
   return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens

  def  __lowercase							(	self		:      Optional[Any]     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[Any]        =       {self.convert_ids_to_tokens(A     ): i for i in range(self.vocab_size     )}
   vocab.update(self.added_tokens_encoder     )
   return vocab

  def __getstate__(	self		:      Any     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[Any]        =       self.__dict__.copy()
   UpperCAmelCase__       :	Dict        =       None
   return state

  def __setstate__(	self		:      int       ,A		:      Dict     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Optional[Any]        =       d

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

   UpperCAmelCase__       :	List[Any]        =       load_spm(self.spm_file       ,self.sp_model_kwargs     )

  def  __lowercase							(	self		:      Any       ,A		:      str       ,A		:      Optional[str] = None     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[str]        =       Path(A     )
   if not save_dir.is_dir():
    raise OSError(f"{save_directory} should be a directory"     )
   UpperCAmelCase__       :	Tuple        =       save_dir / (
       (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
   )
   UpperCAmelCase__       :	Any        =       save_dir / (
       (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""spm_file"""]
   )

   save_json(self.encoder       ,A     )

   if os.path.abspath(self.spm_file     ) != os.path.abspath(A     ) and os.path.isfile(self.spm_file     ):
    copyfile(self.spm_file       ,A     )
   elif not os.path.isfile(self.spm_file     ):
    with open(A       ,"""wb"""     ) as fi:
     UpperCAmelCase__       :	List[str]        =       self.sp_model.serialized_model_proto()
     fi.write(A     )

   return (str(A     ), str(A     ))

  def  __lowercase							(	self		:      str       ,A		:      List[str]       ,A		:      str = "en"       ,A		:      Optional[List[str]] = None       ,A		:      str = "ro"       ,**A		:      List[Any]       ,):






   '''simple docstring'''
   UpperCAmelCase__       :	List[Any]        =       src_lang
   UpperCAmelCase__       :	str        =       tgt_lang
   self.set_src_lang_special_tokens(self.src_lang     )
   return super().prepare_seqaseq_batch(A       ,A       ,**A     )

  def  __lowercase							(	self		:      Any       ,A		:      Union[str, Any]       ,A		:      Optional[str]       ,A		:      Optional[str]       ,**A		:      List[Any]     ):






   '''simple docstring'''
   if src_lang is None or tgt_lang is None:
    raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""     )
   UpperCAmelCase__       :	List[Any]        =       src_lang
   UpperCAmelCase__       :	List[str]        =       self(A       ,add_special_tokens=A       ,**A     )
   UpperCAmelCase__       :	List[Any]        =       self.get_lang_id(A     )
   UpperCAmelCase__       :	List[str]        =       tgt_lang_id
   return inputs

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






   '''simple docstring'''
   self.set_src_lang_special_tokens(self.src_lang     )

  def  __lowercase							(	self		:      List[Any]     ):






   '''simple docstring'''
   self.set_tgt_lang_special_tokens(self.tgt_lang     )

  def  __lowercase							(	self		:      int       ,A		:      str     ):






   '''simple docstring'''
   UpperCAmelCase__       :	int        =       self.get_lang_token(A     )
   UpperCAmelCase__       :	List[str]        =       self.lang_token_to_id[lang_token]
   UpperCAmelCase__       :	Union[str, Any]        =       [self.cur_lang_id]
   UpperCAmelCase__       :	int        =       [self.eos_token_id]

  def  __lowercase							(	self		:      Dict       ,A		:      str     ):






   '''simple docstring'''
   UpperCAmelCase__       :	int        =       self.get_lang_token(A     )
   UpperCAmelCase__       :	List[Any]        =       self.lang_token_to_id[lang_token]
   UpperCAmelCase__       :	Optional[int]        =       [self.cur_lang_id]
   UpperCAmelCase__       :	str        =       [self.eos_token_id]

  def  __lowercase							(	self		:      int       ,A		:      str     ):






   '''simple docstring'''
   return self.lang_code_to_token[lang]




  def  __lowercase							(	self		:      Dict       ,A		:      str     ):






   '''simple docstring'''
   UpperCAmelCase__       :	int        =       self.get_lang_token(A     )
   return self.lang_token_to_id[lang_token]







def 	lowerCAmelCase    (       __UpperCamelCase				,     __UpperCamelCase   ):
 '''simple docstring'''





 UpperCAmelCase__       :	Optional[Any]        =       sentencepiece.SentencePieceProcessor(**__UpperCamelCase   )
 spm.Load(str(__UpperCamelCase   )   )
 return spm
def 	lowerCAmelCase    (       __UpperCamelCase   ):
 '''simple docstring'''





 with open(__UpperCamelCase				,     """r"""   ) as f:
  return json.load(__UpperCamelCase   )




def 	lowerCAmelCase    (       __UpperCamelCase				,     __UpperCamelCase   ):
 '''simple docstring'''





 with open(__UpperCamelCase				,     """w"""   ) as f:
  json.dump(__UpperCamelCase				,     __UpperCamelCase				,     indent=2   )









'''simple docstring'''






def lowerCamelCase__     (		__lowerCamelCase			:				str				):







   '''simple docstring'''




   _UpperCAmelCase  :  Dict				       =''
   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 lowerCamelCase__     (		__lowerCamelCase			:				str				):







   '''simple docstring'''




   _UpperCAmelCase  :  List[str]				       =[chr(i + 6_5				) for i in range(2_6				)]
   # Remove duplicate characters from key
   _UpperCAmelCase  :  Any				       =remove_duplicates(key.upper()				)
   _UpperCAmelCase  :  Optional[Any]				       =len(__lowerCamelCase				)
   # First fill cipher with key characters
   _UpperCAmelCase  :  List[Any]				       ={alphabet[i]: char for i, char in enumerate(__lowerCamelCase				)}
   # Then map remaining characters in alphabet to
   # the alphabet from the beginning
   for i in range(len(__lowerCamelCase				)			,       2_6				):
      _UpperCAmelCase  :  Union[str, Any]				       =alphabet[i - offset]
      # Ensure we are not mapping letters to letters previously mapped
      while char in key:
         offset -= 1
         _UpperCAmelCase  :  str				       =alphabet[i - offset]
      _UpperCAmelCase  :  Any				       =char
   return cipher_alphabet





def lowerCamelCase__     (		__lowerCamelCase			:				str			,       __lowerCamelCase			:				dict[str, str]				):







   '''simple docstring'''




   return "".join(cipher_map.get(__lowerCamelCase			,       __lowerCamelCase				) for ch in message.upper()				)





def lowerCamelCase__     (		__lowerCamelCase			:				str			,       __lowerCamelCase			:				dict[str, str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  List[str]				       ={v: k for k, v in cipher_map.items()}
   return "".join(rev_cipher_map.get(__lowerCamelCase			,       __lowerCamelCase				) for ch in message.upper()				)





def lowerCamelCase__     (		):







   '''simple docstring'''




   _UpperCAmelCase  :  Union[str, Any]				       =input('Enter message to encode or decode: '				).strip()
   _UpperCAmelCase  :  int				       =input('Enter keyword: '				).strip()
   _UpperCAmelCase  :  int				       =input('Encipher or decipher? E/D:'				).strip()[0].lower()
   try:
      _UpperCAmelCase  :  Tuple				       ={'e': encipher, 'd': decipher}[option]
   except KeyError:
      raise KeyError('invalid input option'				)
   _UpperCAmelCase  :  List[str]				       =create_cipher_map(__lowerCamelCase				)
   print(func(__lowerCamelCase			,       __lowerCamelCase				)				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()

