




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 			__lowerCamelCase	(   _a   ):




    """simple docstring"""

    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					:					List[Any]       ,     SCREAMING_SNAKE_CASE__					:					Union[str, Any]       ,     SCREAMING_SNAKE_CASE__					:					str       ,     SCREAMING_SNAKE_CASE__					:					Any=None       ,     SCREAMING_SNAKE_CASE__					:					Dict=None       ,     SCREAMING_SNAKE_CASE__					:					List[str]="<s>"       ,     SCREAMING_SNAKE_CASE__					:					Union[str, Any]="</s>"       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]="</s>"       ,     SCREAMING_SNAKE_CASE__					:					Tuple="<pad>"       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]="<unk>"       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]="m2m100"       ,     SCREAMING_SNAKE_CASE__					:					Dict = None       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]=8       ,     **SCREAMING_SNAKE_CASE__					:					Tuple       ,     )				->	None:
     lowerCAmelCase__          =			{} if sp_model_kwargs is None else sp_model_kwargs

     lowerCAmelCase__          =			language_codes
     lowerCAmelCase__          =			FAIRSEQ_LANGUAGE_CODES[language_codes]
     lowerCAmelCase__          =			{lang_code: f'__{lang_code}__' for lang_code in fairseq_language_code}

     lowerCAmelCase__          =			kwargs.get("additional_special_tokens"       ,     []       )
     kwargs["additional_special_tokens"] += [
         self.get_lang_token(SCREAMING_SNAKE_CASE__       )
         for lang_code in fairseq_language_code
         if self.get_lang_token(SCREAMING_SNAKE_CASE__       ) not in kwargs["additional_special_tokens"]
     ]

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

     lowerCAmelCase__          =			vocab_file
     lowerCAmelCase__          =			load_json(SCREAMING_SNAKE_CASE__       )
     lowerCAmelCase__          =			{v: k for k, v in self.encoder.items()}
     lowerCAmelCase__          =			spm_file
     lowerCAmelCase__          =			load_spm(SCREAMING_SNAKE_CASE__       ,     self.sp_model_kwargs       )

     lowerCAmelCase__          =			len(self.encoder       )

     lowerCAmelCase__          =			{
         self.get_lang_token(SCREAMING_SNAKE_CASE__       ): self.encoder_size + i for i, lang_code in enumerate(SCREAMING_SNAKE_CASE__       )
     }
     lowerCAmelCase__          =			{lang_code: self.encoder_size + i for i, lang_code in enumerate(SCREAMING_SNAKE_CASE__       )}
     lowerCAmelCase__          =			{v: k for k, v in self.lang_token_to_id.items()}

     lowerCAmelCase__          =			src_lang if src_lang is not None else 'en'
     lowerCAmelCase__          =			tgt_lang
     lowerCAmelCase__          =			self.get_lang_id(self._src_lang       )
     self.set_src_lang_special_tokens(self._src_lang       )

     lowerCAmelCase__          =			num_madeup_words


    @property
    def        a				(	self					:					Any       )				->	int:
     return len(self.encoder       ) + len(self.lang_token_to_id       )


    @property
    def        a				(	self					:					str       )				->	str:
     return self._src_lang


    @src_lang.setter
    def        a				(	self					:					str       ,     SCREAMING_SNAKE_CASE__					:					Any       )				->	None:
     lowerCAmelCase__          =			new_src_lang
     self.set_src_lang_special_tokens(self._src_lang       )


    def        a				(	self					:					str       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]       )				->	List[str]:
     return self.sp_model.encode(SCREAMING_SNAKE_CASE__       ,     out_type=SCREAMING_SNAKE_CASE__       )


    def        a				(	self					:					Union[str, Any]       ,     SCREAMING_SNAKE_CASE__					:					Dict       )				->	str:

     if token in self.lang_token_to_id:
      return self.lang_token_to_id[token]
     return self.encoder.get(SCREAMING_SNAKE_CASE__       ,     self.encoder[self.unk_token]       )


    def        a				(	self					:					Optional[Any]       ,     SCREAMING_SNAKE_CASE__					:					Dict       )				->	str:

     if index in self.id_to_lang_token:
      return self.id_to_lang_token[index]
     return self.decoder.get(SCREAMING_SNAKE_CASE__       ,     self.unk_token       )


    def        a				(	self					:					Union[str, Any]       ,     SCREAMING_SNAKE_CASE__					:					List[str]       )				->	List[Any]:
     lowerCAmelCase__          =			[]
     lowerCAmelCase__          =			''
     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(SCREAMING_SNAKE_CASE__       ) + token
       lowerCAmelCase__          =			[]
      else:
       current_sub_tokens.append(SCREAMING_SNAKE_CASE__       )
     out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE__       )
     return out_string.strip()


    def        a				(	self					:					Optional[int]       ,     SCREAMING_SNAKE_CASE__					:					Union[str, Any]       ,     SCREAMING_SNAKE_CASE__					:					Dict = None       ,     SCREAMING_SNAKE_CASE__					:					Any = False       )				->	List[int]:

     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__       )

     lowerCAmelCase__          =			[1] * len(self.prefix_tokens       )
     lowerCAmelCase__          =			[1] * len(self.suffix_tokens       )
     if token_ids_a is None:
      return prefix_ones + ([0] * len(SCREAMING_SNAKE_CASE__       )) + suffix_ones
     return prefix_ones + ([0] * len(SCREAMING_SNAKE_CASE__       )) + ([0] * len(SCREAMING_SNAKE_CASE__       )) + suffix_ones


    def        a				(	self					:					Optional[Any]       ,     SCREAMING_SNAKE_CASE__					:					Tuple       ,     SCREAMING_SNAKE_CASE__					:					Optional[Any] = None       )				->	List[int]:

     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        a				(	self					:					Tuple       )				->	Dict:
     lowerCAmelCase__          =			{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 __getstate__(	self					:					Tuple       )				->	Dict:
     lowerCAmelCase__          =			self.__dict__.copy()
     lowerCAmelCase__          =			None
     return state


    def __setstate__(	self					:					Tuple       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]       )				->	None:
     lowerCAmelCase__          =			d

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

     lowerCAmelCase__          =			load_spm(self.spm_file       ,     self.sp_model_kwargs       )


    def        a				(	self					:					Any       ,     SCREAMING_SNAKE_CASE__					:					str       ,     SCREAMING_SNAKE_CASE__					:					Dict = None       )				->	Tuple[str]:
     lowerCAmelCase__          =			Path(SCREAMING_SNAKE_CASE__       )
     if not save_dir.is_dir():
      raise OSError(f'{save_directory} should be a directory'       )
     lowerCAmelCase__          =			save_dir / (
         (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
     )
     lowerCAmelCase__          =			save_dir / (
         (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['spm_file']
     )

     save_json(self.encoder       ,     SCREAMING_SNAKE_CASE__       )

     if os.path.abspath(self.spm_file       ) != os.path.abspath(SCREAMING_SNAKE_CASE__       ) and os.path.isfile(self.spm_file       ):
      copyfile(self.spm_file       ,     SCREAMING_SNAKE_CASE__       )
     elif not os.path.isfile(self.spm_file       ):
      with open(SCREAMING_SNAKE_CASE__       ,     "wb"       ) as fi:
       lowerCAmelCase__          =			self.sp_model.serialized_model_proto()
       fi.write(SCREAMING_SNAKE_CASE__       )

     return (str(SCREAMING_SNAKE_CASE__       ), str(SCREAMING_SNAKE_CASE__       ))


    def        a				(	self					:					Tuple       ,     SCREAMING_SNAKE_CASE__					:					List[str]       ,     SCREAMING_SNAKE_CASE__					:					str = "en"       ,     SCREAMING_SNAKE_CASE__					:					List[Any] = None       ,     SCREAMING_SNAKE_CASE__					:					Any = "ro"       ,     **SCREAMING_SNAKE_CASE__					:					Tuple       ,     )				->	BatchEncoding:
     lowerCAmelCase__          =			src_lang
     lowerCAmelCase__          =			tgt_lang
     self.set_src_lang_special_tokens(self.src_lang       )
     return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE__       ,     SCREAMING_SNAKE_CASE__       ,     **SCREAMING_SNAKE_CASE__       )


    def        a				(	self					:					Optional[int]       ,     SCREAMING_SNAKE_CASE__					:					Optional[int]       ,     SCREAMING_SNAKE_CASE__					:					Union[str, Any]       ,     SCREAMING_SNAKE_CASE__					:					Tuple       ,     **SCREAMING_SNAKE_CASE__					:					List[Any]       )				->	List[str]:

     if src_lang is None or tgt_lang is None:
      raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"       )
     lowerCAmelCase__          =			src_lang
     lowerCAmelCase__          =			self(SCREAMING_SNAKE_CASE__       ,     add_special_tokens=SCREAMING_SNAKE_CASE__       ,     **SCREAMING_SNAKE_CASE__       )
     lowerCAmelCase__          =			self.get_lang_id(SCREAMING_SNAKE_CASE__       )
     lowerCAmelCase__          =			tgt_lang_id
     return inputs


    def        a				(	self					:					int       )				->	str:
     self.set_src_lang_special_tokens(self.src_lang       )


    def        a				(	self					:					Optional[Any]       )				->	List[str]:
     self.set_tgt_lang_special_tokens(self.tgt_lang       )


    def        a				(	self					:					List[str]       ,     SCREAMING_SNAKE_CASE__					:					Tuple       )				->	None:
     lowerCAmelCase__          =			self.get_lang_token(SCREAMING_SNAKE_CASE__       )
     lowerCAmelCase__          =			self.lang_token_to_id[lang_token]
     lowerCAmelCase__          =			[self.cur_lang_id]
     lowerCAmelCase__          =			[self.eos_token_id]


    def        a				(	self					:					List[str]       ,     SCREAMING_SNAKE_CASE__					:					Optional[Any]       )				->	None:
     lowerCAmelCase__          =			self.get_lang_token(SCREAMING_SNAKE_CASE__       )
     lowerCAmelCase__          =			self.lang_token_to_id[lang_token]
     lowerCAmelCase__          =			[self.cur_lang_id]
     lowerCAmelCase__          =			[self.eos_token_id]


    def        a				(	self					:					int       ,     SCREAMING_SNAKE_CASE__					:					List[str]       )				->	str:
     return self.lang_code_to_token[lang]


    def        a				(	self					:					Any       ,     SCREAMING_SNAKE_CASE__					:					Any       )				->	int:
     lowerCAmelCase__          =			self.get_lang_token(SCREAMING_SNAKE_CASE__       )
     return self.lang_token_to_id[lang_token]






def 							_A       (						lowerCAmelCase_					: Optional[Any]       ,    lowerCAmelCase_					: Dict      ):
 """simple docstring"""

 lowerCAmelCase__          =			sentencepiece.SentencePieceProcessor(**lowerCamelCase_      )
 spm.Load(str(lowerCamelCase_      )      )
 return spm



def 							_A       (						lowerCAmelCase_					: Tuple      ):
 """simple docstring"""

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






def 							_A       (						lowerCAmelCase_					: Union[str, Any]       ,    lowerCAmelCase_					: Dict      ):
 """simple docstring"""

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






import string



def 							_A       (						lowerCAmelCase_					: str      ):
     """simple docstring"""

     for key in range(len(string.ascii_uppercase      )      ):
          lowerCAmelCase__          =			""
          for symbol in message:
               if symbol in string.ascii_uppercase:
                    lowerCAmelCase__          =			string.ascii_uppercase.find(lowerCAmelCase_      )
                    lowerCAmelCase__          =			num - key
                    if num < 0:
                         lowerCAmelCase__          =			num + len(string.ascii_uppercase      )
                    lowerCAmelCase__          =			translated + string.ascii_uppercase[num]
               else:
                    lowerCAmelCase__          =			translated + symbol
          print(F'Decryption using Key #{key}: {translated}'      )



def 							_A       (						):
     """simple docstring"""

     lowerCAmelCase__          =			input("Encrypted message: "      )
     lowerCAmelCase__          =			message.upper()
     decrypt(lowerCAmelCase_      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()
