





'''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


A__				:   Union[str, Any]      =logging.get_logger(__name__)

A__				:   Optional[Any]      ='''▁'''

A__				:   List[str]      ={
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

A__				:   Tuple      ={
    '''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'''
        )
    },
}

A__				:   List[Any]      ={
    '''facebook/s2t-small-librispeech-asr''': 10_24,
}

A__				:   Optional[int]      =['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

A__				:   Tuple      ={'''mustc''': MUSTC_LANGS}




class  UpperCAmelCase     (			snake_case_   ):
      _lowercase:			Union[str, Any]						     =   VOCAB_FILES_NAMES
      _lowercase:			str						     =   PRETRAINED_VOCAB_FILES_MAP
      _lowercase:			str						     =   MAX_MODEL_INPUT_SIZES
      _lowercase:			int						     =   ['''input_ids''', '''attention_mask''']

      _lowercase:			List[int]						     =   []




      def __init__(			self			: List[Any]			,			__snake_case			: int			,			__snake_case			: int			,			__snake_case			: Union[str, Any]="<s>"			,			__snake_case			: Any="</s>"			,			__snake_case			: List[str]="<pad>"			,			__snake_case			: Optional[int]="<unk>"			,			__snake_case			: Optional[Any]=False			,			__snake_case			: Any=False			,			__snake_case			: Optional[Any]=None			,			__snake_case			: List[str]=None			,			__snake_case			: Optional[Dict[str, Any]] = None			,			**__snake_case			: List[str]			,			)				->      None:
            _lowerCAmelCase							     =							{} if sp_model_kwargs is None else sp_model_kwargs

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

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

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

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

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




      @property
      def 				lowercase__    (			self			: str  )				->      int:
            return len(self.encoder  )




      @property
      def 				lowercase__    (			self			: Optional[int]  )				->      str:
            return self._tgt_lang




      @tgt_lang.setter
      def 				lowercase__    (			self			: Tuple			,			__snake_case			: int  )				->      None:
            _lowerCAmelCase							     =							new_tgt_lang
            self.set_tgt_lang_special_tokens(__snake_case  )




      def 				lowercase__    (			self			: Optional[Any]			,			__snake_case			: str  )				->      None:
            _lowerCAmelCase							     =							self.lang_code_to_id[tgt_lang]
            _lowerCAmelCase							     =							[lang_code_id]




      def 				lowercase__    (			self			: Optional[Any]			,			__snake_case			: str  )				->      List[str]:
            return self.sp_model.encode(__snake_case			,			out_type=__snake_case  )




      def 				lowercase__    (			self			: Any			,			__snake_case			: int  )				->      List[str]:
            return self.encoder.get(__snake_case			,			self.encoder[self.unk_token]  )




      def 				lowercase__    (			self			: Union[str, Any]			,			__snake_case			: int  )				->      str:
            return self.decoder.get(__snake_case			,			self.unk_token  )




      def 				lowercase__    (			self			: Any			,			__snake_case			: List[str]  )				->      str:
            _lowerCAmelCase							     =							[]
            _lowerCAmelCase							     =							""""""
            for token in tokens:
                  # make sure that special tokens are not decoded using sentencepiece model
                  if token in self.all_special_tokens:
                        _lowerCAmelCase							     =							self.sp_model.decode(__snake_case  )
                        out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                        _lowerCAmelCase							     =							[]
                  else:
                        current_sub_tokens.append(__snake_case  )
            _lowerCAmelCase							     =							self.sp_model.decode(__snake_case  )
            out_string += decoded.upper() if self.do_upper_case else decoded
            return out_string.strip()




      def 				lowercase__    (			self			: str			,			__snake_case			: Optional[int]			,			__snake_case			: Any=None  )				->      List[int]:
            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 				lowercase__    (			self			: Any			,			__snake_case			: List[int]			,			__snake_case			: Optional[List[int]] = None			,			__snake_case			: bool = False  )				->      List[int]:

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

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




      def 				lowercase__    (			self			: Optional[Any]  )				->      Dict:
            _lowerCAmelCase							     =							self.encoder.copy()
            vocab.update(self.added_tokens_encoder  )
            return vocab




      def __getstate__(			self			: str  )				->      Dict:
            _lowerCAmelCase							     =							self.__dict__.copy()
            _lowerCAmelCase							     =							None
            return state




      def __setstate__(			self			: Tuple			,			__snake_case			: Dict  )				->      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 				lowercase__    (			self			: int			,			__snake_case			: str			,			__snake_case			: Optional[str] = None  )				->      Tuple[str]:
            _lowerCAmelCase							     =							Path(__snake_case  )
            assert save_dir.is_dir(), 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			,			__snake_case  )

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

            return (str(__snake_case  ), str(__snake_case  ))




def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							sentencepiece.SentencePieceProcessor(**lowerCAmelCase  )
      spm.Load(str(lowerCAmelCase  )  )
      return spm
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


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





def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase  ):





      """simple docstring"""


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














def 						_a    (      a :float	,							a :float )							->			float:
 return price * (1 + tax_rate)


if __name__ == "__main__":
     print(f"""{price_plus_tax(100, 0.25) = }""")
     print(f"""{price_plus_tax(125.50, 0.05) = }""")


