

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 PreTrainedTokenizer
from ...utils import logging


__lowercase				      =						logging.get_logger(__name__)

__lowercase				      =						"""▁"""

__lowercase				      =						{
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
}

__lowercase				      =						{
    """vocab_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json"""
        ),
    },
    """spm_file""": {
        """facebook/s2t-small-librispeech-asr""": (
            """https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model"""
        )
    },
}

__lowercase				      =						{
    """facebook/s2t-small-librispeech-asr""": 1024,
}

__lowercase				      =						["""pt""", """fr""", """ru""", """nl""", """ro""", """it""", """es""", """de"""]

__lowercase				      =						{"""mustc""": MUSTC_LANGS}

class    _lowercase				(					__lowerCamelCase			):
   _lowercase     :       Optional[Any]  					=    VOCAB_FILES_NAMES
   _lowercase     :       Union[str, Any]  					=    PRETRAINED_VOCAB_FILES_MAP
   _lowercase     :       List[str]  					=    MAX_MODEL_INPUT_SIZES
   _lowercase     :       List[Any]  					=    ['input_ids', 'attention_mask']

   _lowercase     :       List[int]  					=    []

   def __init__(				self	:    Tuple			,						lowerCamelCase__	:    int			,						lowerCamelCase__	:    Dict			,						lowerCamelCase__	:    List[Any]="<s>"			,						lowerCamelCase__	:    Dict="</s>"			,						lowerCamelCase__	:    List[Any]="<pad>"			,						lowerCamelCase__	:    List[Any]="<unk>"			,						lowerCamelCase__	:    str=False			,						lowerCamelCase__	:    Dict=False			,						lowerCamelCase__	:    List[Any]=None			,						lowerCamelCase__	:    Optional[int]=None			,						lowerCamelCase__	:    Optional[Dict[str, Any]] = None			,						**lowerCamelCase__	:    List[Any]			,						) ->			None:
         """simple docstring"""





         A_							       =		{} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=lowerCamelCase__			,						eos_token=lowerCamelCase__			,						unk_token=lowerCamelCase__			,						pad_token=lowerCamelCase__			,						do_upper_case=lowerCamelCase__			,						do_lower_case=lowerCamelCase__			,						tgt_lang=lowerCamelCase__			,						lang_codes=lowerCamelCase__			,						sp_model_kwargs=self.sp_model_kwargs			,						**lowerCamelCase__			,						)
         A_							       =		do_upper_case
         A_							       =		do_lower_case

         A_							       =		load_json(lowerCamelCase__       )
         A_							       =		{v: k for k, v in self.encoder.items()}
         A_							       =		spm_file
         A_							       =		load_spm(lowerCamelCase__			,						self.sp_model_kwargs       )

         if lang_codes is not None:
               A_							       =		lang_codes
               A_							       =		LANGUAGES[lang_codes]
               A_							       =		[F"<lang:{lang}>" for lang in self.langs]
               A_							       =		{lang: self.sp_model.PieceToId(F"<lang:{lang}>"       ) for lang in self.langs}

               A_							       =		self.lang_tokens
               A_							       =		tgt_lang if tgt_lang is not None else self.langs[0]

               self.set_tgt_lang_special_tokens(self._tgt_lang       )
         else:
               A_							       =		{}

   @property
   def     UpperCamelCase					(				self	:    List[Any]       ) ->			int:
         """simple docstring"""





         return len(self.encoder       )

   @property
   def     UpperCamelCase					(				self	:    Optional[Any]       ) ->			str:
         """simple docstring"""





         return self._tgt_lang

   @tgt_lang.setter
   def     UpperCamelCase					(				self	:    Any			,						lowerCamelCase__	:    Optional[int]       ) ->			None:
         """simple docstring"""





         A_							       =		new_tgt_lang
         self.set_tgt_lang_special_tokens(lowerCamelCase__       )

   def     UpperCamelCase					(				self	:    Optional[int]			,						lowerCamelCase__	:    str       ) ->			None:
         """simple docstring"""





         A_							       =		self.lang_code_to_id[tgt_lang]
         A_							       =		[lang_code_id]

   def     UpperCamelCase					(				self	:    List[str]			,						lowerCamelCase__	:    str       ) ->			List[str]:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    Optional[Any]			,						lowerCamelCase__	:    Optional[Any]       ) ->			List[Any]:
         """simple docstring"""





         return self.encoder.get(lowerCamelCase__			,						self.encoder[self.unk_token]       )

   def     UpperCamelCase					(				self	:    Tuple			,						lowerCamelCase__	:    int       ) ->			str:
         """simple docstring"""





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

   def     UpperCamelCase					(				self	:    Optional[int]			,						lowerCamelCase__	:    List[str]       ) ->			str:
         """simple docstring"""





         A_							       =		[]
         A_							       =		''''''
         for token in tokens:
               # make sure that special tokens are not decoded using sentencepiece model
               if token in self.all_special_tokens:
                     A_							       =		self.sp_model.decode(lowerCamelCase__       )
                     out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                     A_							       =		[]
               else:
                     current_sub_tokens.append(lowerCamelCase__       )
         A_							       =		self.sp_model.decode(lowerCamelCase__       )
         out_string += decoded.upper() if self.do_upper_case else decoded
         return out_string.strip()

   def     UpperCamelCase					(				self	:    List[Any]			,						lowerCamelCase__	:    Any			,						lowerCamelCase__	:    Tuple=None       ) ->			List[int]:
         """simple docstring"""





         if token_ids_a is None:
               return self.prefix_tokens + token_ids_a + [self.eos_token_id]
         # 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.eos_token_id]

   def     UpperCamelCase					(				self	:    Optional[Any]			,						lowerCamelCase__	:    List[int]			,						lowerCamelCase__	:    Optional[List[int]] = None			,						lowerCamelCase__	:    bool = False       ) ->			List[int]:
         """simple docstring"""





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

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

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





         A_							       =		self.encoder.copy()
         vocab.update(self.added_tokens_encoder       )
         return vocab

   def __getstate__(				self	:    Optional[int]       ) ->			Dict:
         """simple docstring"""





         A_							       =		self.__dict__.copy()
         A_							       =		None
         return state

   def __setstate__(				self	:    Union[str, Any]			,						lowerCamelCase__	:    Dict       ) ->			None:
         """simple docstring"""





         A_							       =		d

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

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





   def     UpperCamelCase					(				self	:    int			,						lowerCamelCase__	:    str			,						lowerCamelCase__	:    Optional[str] = None       ) ->			Tuple[str]:
         """simple docstring"""





         A_							       =		Path(lowerCamelCase__       )
         assert save_dir.is_dir(), F"{save_directory} should be a directory"
         A_							       =		save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
         )
         A_							       =		save_dir / (
             (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
         )

         save_json(self.encoder			,						lowerCamelCase__       )

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

         return (str(lowerCamelCase__       ), str(lowerCamelCase__       ))







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      A_							       =		sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE   )
      spm.Load(str(SCREAMING_SNAKE_CASE   )   )
      return spm







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







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







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







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








def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE = 100   ):
      '''simple docstring'''







      A_							       =		0
      A_							       =		0
      for i in range(1		,				n + 1   ):
            sum_of_squares += i**2
            sum_of_ints += i
      return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
      print(f'{solution() = }')





