



"""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 PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase     =			logging.get_logger(__name__)

_UpperCAmelCase     =			"""▁"""

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

_UpperCAmelCase     =			{
    """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"""
        )
    },
}

_UpperCAmelCase     =			{
    """facebook/s2t-small-librispeech-asr""": 1_0_2_4,
}

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

_UpperCAmelCase     =			{"""mustc""": MUSTC_LANGS}
class 					a	(  UpperCAmelCase__       ):
  UpperCamelCase	:				Optional[Any]     						=					VOCAB_FILES_NAMES
  UpperCamelCase	:				Union[str, Any]     						=					PRETRAINED_VOCAB_FILES_MAP
  UpperCamelCase	:				Any     						=					MAX_MODEL_INPUT_SIZES
  UpperCamelCase	:				Optional[int]     						=					['input_ids', 'attention_mask']

  UpperCamelCase	:				List[int]     						=					[]



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[int]     			={} 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       ,		)
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=do_upper_case
     SCREAMING_SNAKE_CASE_: str     			=do_lower_case

     SCREAMING_SNAKE_CASE_: str     			=load_json(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: Tuple     			={v: k for k, v in self.encoder.items()}
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=spm_file
     SCREAMING_SNAKE_CASE_: Optional[int]     			=load_spm(lowerCAmelCase       ,		self.sp_model_kwargs		)

     if lang_codes is not None:
        SCREAMING_SNAKE_CASE_: Optional[Any]     			=lang_codes
        SCREAMING_SNAKE_CASE_: str     			=LANGUAGES[lang_codes]
        SCREAMING_SNAKE_CASE_: List[Any]     			=[f'''<lang:{lang}>''' for lang in self.langs]
        SCREAMING_SNAKE_CASE_: Any     			={lang: self.sp_model.PieceToId(f'''<lang:{lang}>'''		) for lang in self.langs}

        SCREAMING_SNAKE_CASE_: Tuple     			=self.lang_tokens
        SCREAMING_SNAKE_CASE_: Any     			=tgt_lang if tgt_lang is not None else self.langs[0]

        self.set_tgt_lang_special_tokens(self._tgt_lang		)
     else:
        SCREAMING_SNAKE_CASE_: List[Any]     			={}



  @property
  def 	lowerCamelCase__       (						self :					List[Any]		)     ->					int:


     '''simple docstring'''




     return len(self.encoder		)



  @property
  def 	lowerCamelCase__       (						self :					str		)     ->					str:


     '''simple docstring'''




     return self._tgt_lang



  @tgt_lang.setter
  def 	lowerCamelCase__       (						self :					Union[str, Any]       ,		lowerCAmelCase :					Optional[int]		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=new_tgt_lang
     self.set_tgt_lang_special_tokens(lowerCAmelCase		)



  def 	lowerCamelCase__       (						self :					Any       ,		lowerCAmelCase :					str		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: int     			=self.lang_code_to_id[tgt_lang]
     SCREAMING_SNAKE_CASE_: Any     			=[lang_code_id]



  def 	lowerCamelCase__       (						self :					Optional[Any]       ,		lowerCAmelCase :					str		)     ->					List[str]:


     '''simple docstring'''




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



  def 	lowerCamelCase__       (						self :					Any       ,		lowerCAmelCase :					List[Any]		)     ->					Optional[int]:


     '''simple docstring'''




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



  def 	lowerCamelCase__       (						self :					str       ,		lowerCAmelCase :					int		)     ->					str:


     '''simple docstring'''




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



  def 	lowerCamelCase__       (						self :					Union[str, Any]       ,		lowerCAmelCase :					List[str]		)     ->					str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: str     			=[]
     SCREAMING_SNAKE_CASE_: int     			=""""""
     for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
           SCREAMING_SNAKE_CASE_: List[Any]     			=self.sp_model.decode(lowerCAmelCase		)
           out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
           SCREAMING_SNAKE_CASE_: Optional[int]     			=[]
        else:
           current_sub_tokens.append(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: int     			=self.sp_model.decode(lowerCAmelCase		)
     out_string += decoded.upper() if self.do_upper_case else decoded
     return out_string.strip()



  def 	lowerCamelCase__       (						self :					Dict       ,		lowerCAmelCase :					Tuple       ,		lowerCAmelCase :					str=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 	lowerCamelCase__       (						self :					Union[str, 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		)

     SCREAMING_SNAKE_CASE_: List[Any]     			=[1] * len(self.prefix_tokens		)
     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=[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 	lowerCamelCase__       (						self :					str		)     ->					Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: List[Any]     			=self.encoder.copy()
     vocab.update(self.added_tokens_encoder		)
     return vocab



  def __getstate__(						self :					Any		)     ->					Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: List[str]     			=self.__dict__.copy()
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=None
     return state



  def __setstate__(						self :					Tuple       ,		lowerCAmelCase :					Dict		)     ->					None:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Any     			=d

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

     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=load_spm(self.spm_file       ,		self.sp_model_kwargs		)





  def 	lowerCamelCase__       (						self :					Union[str, Any]       ,		lowerCAmelCase :					str       ,		lowerCAmelCase :					Optional[str] = None		)     ->					Tuple[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: List[str]     			=Path(lowerCAmelCase		)
     assert save_dir.is_dir(), f'''{save_directory} should be a directory'''
     SCREAMING_SNAKE_CASE_: Any     			=save_dir / (
         (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
     )
     SCREAMING_SNAKE_CASE_: Tuple     			=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:
           SCREAMING_SNAKE_CASE_: Optional[int]     			=self.sp_model.serialized_model_proto()
           fi.write(lowerCAmelCase		)

     return (str(lowerCAmelCase		), str(lowerCAmelCase		))







def      __magic_name__				(							lowercase							,			lowercase ):
   SCREAMING_SNAKE_CASE_: Optional[Any]     			=sentencepiece.SentencePieceProcessor(**lowercase )
   spm.Load(str(lowercase ) )
   return spm





def      __magic_name__				(							lowercase ):
   with open(lowercase							,			"""r""" ) as f:
      return json.load(lowercase )





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








"""simple docstring"""
def      __magic_name__				(							lowercase = 200_0000 ):
   SCREAMING_SNAKE_CASE_: List[Any]     			=[0 for i in range(n + 1 )]
   SCREAMING_SNAKE_CASE_: Union[str, Any]     			=1
   SCREAMING_SNAKE_CASE_: Optional[Any]     			=1

   for i in range(2							,			int(n**0.5 ) + 1 ):
      if primality_list[i] == 0:
         for j in range(i * i							,			n + 1							,			lowercase ):
            SCREAMING_SNAKE_CASE_: Optional[int]     			=1
   SCREAMING_SNAKE_CASE_: Dict     			=0
   for i in range(lowercase ):
      if primality_list[i] == 0:
         sum_of_primes += i
   return sum_of_primes


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



