


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


a					:				Tuple       =      logging.get_logger(__name__)

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

a					:				List[Any]       =      {
    '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'
        )
    },
}

a					:				Tuple       =      {'Helsinki-NLP/opus-mt-en-de': 512}
a					:				Any       =      {}

class   lowerCamelCase						(	SCREAMING_SNAKE_CASE  ):
       _UpperCamelCase     		=   VOCAB_FILES_NAMES
       _UpperCamelCase     		=   PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase     		=   PRETRAINED_INIT_CONFIGURATION
       _UpperCamelCase     		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase     		=   ["""input_ids""", """attention_mask"""]
       _UpperCamelCase     		=   re.compile(""">>.+<<"""  )  # type: re.Pattern

       def __init__(      self						,    a__						,    a__						,    a__						,    a__=None						,    a__=None						,    a__=None						,    a__="<unk>"						,    a__="</s>"						,    a__="<pad>"						,    a__=5_12						,    a__ = None						,    a__=False						,    **a__						,    ):






        '''simple docstring'''






        snake_case :			List[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=a__						,    target_lang=a__						,    unk_token=a__						,    eos_token=a__						,    pad_token=a__						,    model_max_length=a__						,    sp_model_kwargs=self.sp_model_kwargs						,    target_vocab_file=a__						,    separate_vocabs=a__						,    **a__						,    )
        assert Path(a__       ).exists(), f'''cannot find spm source {source_spm}'''

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

        snake_case :			Any							=   source_lang
        snake_case :			Any							=   target_lang
        snake_case :			Union[str, Any]							=   [source_spm, target_spm]

        # load SentencePiece model for pre-processing
        snake_case :			Union[str, Any]							=   load_spm(a__						,    self.sp_model_kwargs       )
        snake_case :			List[str]							=   load_spm(a__						,    self.sp_model_kwargs       )
        snake_case :			Any							=   self.spm_source
        snake_case :			List[Any]							=   self.encoder

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

        self._setup_normalizer()

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        try:
         from sacremoses import MosesPunctNormalizer

         snake_case :			Any							=   MosesPunctNormalizer(self.source_lang       ).normalize
        except (ImportError, FileNotFoundError):
         warnings.warn('''Recommended: pip install sacremoses.'''       )
         snake_case :			Optional[Any]							=   lambda a__       : x

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        return self.punc_normalizer(a__       ) if x else ""

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        return self.current_encoder.get(a__						,    self.current_encoder[self.unk_token]       )

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        snake_case :			str							=   self.language_code_re.match(a__       )
        snake_case :			list							=   [match.group(0       )] if match else []
        return code, self.language_code_re.sub(''''''						,    a__       )

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        snake_case	,       snake_case :			int							=   self.remove_language_code(a__       )
        snake_case :			Dict							=   self.current_spm.encode(a__						,    out_type=a__       )
        return code + pieces

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        return self.decoder.get(a__						,    self.unk_token       )

       def 					UpperCAmelCase					(      self						,    a__						,    **a__       ):






        '''simple docstring'''






        return super().batch_decode(a__						,    **a__       )

       def 					UpperCAmelCase					(      self						,    a__						,    **a__       ):






        '''simple docstring'''






        return super().decode(a__						,    **a__       )

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        snake_case :			List[Any]							=   self.spm_source if self._decode_use_source_tokenizer else self.spm_target
        snake_case :			List[str]							=   []
        snake_case :			Optional[int]							=   ''''''
        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(a__       ) + token + " "
          snake_case :			List[str]							=   []
         else:
          current_sub_tokens.append(a__       )
        out_string += sp_model.decode_pieces(a__       )
        return out_string.strip()

       def 					UpperCAmelCase					(      self						,    a__						,    a__=None       ):






        '''simple docstring'''






        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 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			str							=   self.spm_source
        snake_case :			str							=   self.encoder

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        snake_case :			Any							=   self.spm_target
        if self.separate_vocabs:
         snake_case :			Union[str, Any]							=   self.target_encoder

       @property
       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        return len(self.encoder       )

       def 					UpperCAmelCase					(      self						,    a__						,    a__ = None       ):






        '''simple docstring'''






        if not os.path.isdir(a__       ):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
         return
        snake_case :			Dict							=   []

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

        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]						,    ):
         snake_case :			int							=   os.path.join(
             a__						,    (filename_prefix + '''-''' if filename_prefix else '''''') + spm_save_filename       )
         if os.path.abspath(a__       ) != os.path.abspath(a__       ) and os.path.isfile(a__       ):
          copyfile(a__						,    a__       )
          saved_files.append(a__       )
         elif not os.path.isfile(a__       ):
          with open(a__						,    '''wb'''       ) as fi:
           snake_case :			Union[str, Any]							=   spm_model.serialized_model_proto()
           fi.write(a__       )
          saved_files.append(a__       )

        return tuple(a__       )

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        return self.get_src_vocab()

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        return dict(self.encoder						,    **self.added_tokens_encoder       )

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        return dict(self.target_encoder						,    **self.added_tokens_decoder       )

       def __getstate__(      self       ):






        '''simple docstring'''






        snake_case :			int							=   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						,    a__       ):






        '''simple docstring'''






        snake_case :			Union[str, Any]							=   d

        # for backward compatibility
        if not hasattr(self						,    '''sp_model_kwargs'''       ):
         snake_case :			str							=   {}

        snake_case	,       snake_case :			Dict							=   (load_spm(a__						,    self.sp_model_kwargs       ) for f in self.spm_files)
        snake_case :			List[str]							=   self.spm_source
        self._setup_normalizer()

       def 					UpperCAmelCase					(      self						,    *a__						,    **a__       ):






        '''simple docstring'''






        return 1

       def 					UpperCAmelCase					(      self						,    a__       ):






        '''simple docstring'''






        snake_case :			List[Any]							=   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 					UpperCAmelCase					(      self						,    a__						,    a__ = None						,    a__ = False       ):






        '''simple docstring'''






        if already_has_special_tokens:
         return self._special_token_mask(a__       )
        elif token_ids_a is None:
         return self._special_token_mask(a__       ) + [1]
        else:
         return self._special_token_mask(token_ids_a + token_ids_a       ) + [1]







def  _UpperCAmelCase						( __lowerCamelCase			,  __lowerCamelCase							)		->sentencepiece.SentencePieceProcessor:


 '''simple docstring'''
 snake_case :			str							=   sentencepiece.SentencePieceProcessor(**__lowerCamelCase							)
 spm.Load(__lowerCamelCase							)
 return spm






def  _UpperCAmelCase						( __lowerCamelCase			,  __lowerCamelCase							)		->None:


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






def  _UpperCAmelCase						( __lowerCamelCase							)		->Union[Dict, List]:


 '''simple docstring'''
 with open(__lowerCamelCase			,  '''r'''							) as f:
  return json.load(__lowerCamelCase							)










import os






def  _UpperCAmelCase						( )		->Tuple:


 '''simple docstring'''
 snake_case :			Dict							=   0
 snake_case :			int							=   0
 with open(os.path.dirname(__lowerCamelCase							) + '''/p022_names.txt'''							) as file:
  snake_case :			int							=   str(file.readlines()[0]							)
  snake_case :			Any							=   name.replace('''"'''			,  ''''''							).split(''','''							)

 name.sort()
 for i in range(len(__lowerCamelCase							)							):
  for j in name[i]:
   temp_sum += ord(__lowerCamelCase							) - ord('''A'''							) + 1
  total_sum += (i + 1) * temp_sum
  snake_case :			List[Any]							=   0
 return total_sum


if __name__ == "__main__":
  print(solution())






