





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': 1024,
}

UpperCAmelCase_     							= ['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

UpperCAmelCase_     							= {'mustc': MUSTC_LANGS}






class     lowercase__       (	__lowercase				):

   '''simple docstring'''


   a						:							int   		=		VOCAB_FILES_NAMES
   a						:							Tuple   		=		PRETRAINED_VOCAB_FILES_MAP
   a						:							Union[str, Any]   		=		MAX_MODEL_INPUT_SIZES
   a						:							List[str]   		=		['''input_ids''', '''attention_mask''']

   a						:							List[int]   		=		[]




   def __init__(    self,		__magic_name__,		__magic_name__,		__magic_name__="<s>",		__magic_name__="</s>",		__magic_name__="<pad>",		__magic_name__="<unk>",		__magic_name__=False,		__magic_name__=False,		__magic_name__=None,		__magic_name__=None,		__magic_name__ = None,		**__magic_name__,		) ->      None:






       """simple docstring"""
       UpperCamelCase__							:				str          =      {} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           bos_token=UpperCAmelCase__,		eos_token=UpperCAmelCase__,		unk_token=UpperCAmelCase__,		pad_token=UpperCAmelCase__,		do_upper_case=UpperCAmelCase__,		do_lower_case=UpperCAmelCase__,		tgt_lang=UpperCAmelCase__,		lang_codes=UpperCAmelCase__,		sp_model_kwargs=self.sp_model_kwargs,		**UpperCAmelCase__,		)
       UpperCamelCase__							:				List[Any]          =      do_upper_case
       UpperCamelCase__							:				List[str]          =      do_lower_case

       UpperCamelCase__							:				Optional[Any]          =      load_json(UpperCAmelCase__							)
       UpperCamelCase__							:				str          =      {v: k for k, v in self.encoder.items()}
       UpperCamelCase__							:				str          =      spm_file
       UpperCamelCase__							:				List[Any]          =      load_spm(UpperCAmelCase__,		self.sp_model_kwargs							)

       if lang_codes is not None:
           UpperCamelCase__							:				Optional[Any]          =      lang_codes
           UpperCamelCase__							:				Optional[Any]          =      LANGUAGES[lang_codes]
           UpperCamelCase__							:				Dict          =      [f"<lang:{lang}>" for lang in self.langs]
           UpperCamelCase__							:				Union[str, Any]          =      {lang: self.sp_model.PieceToId(f"<lang:{lang}>"							) for lang in self.langs}

           UpperCamelCase__							:				Optional[int]          =      self.lang_tokens
           UpperCamelCase__							:				Tuple          =      tgt_lang if tgt_lang is not None else self.langs[0]

           self.set_tgt_lang_special_tokens(self._tgt_lang							)
       else:
           UpperCamelCase__							:				str          =      {}




   @property
   def       UpperCamelCase__  (    self							) ->      int:






       """simple docstring"""
       return len(self.encoder							)




   @property
   def       UpperCamelCase__  (    self							) ->      str:






       """simple docstring"""
       return self._tgt_lang




   @tgt_lang.setter
   def       UpperCamelCase__  (    self,		__magic_name__							) ->      None:






       """simple docstring"""
       UpperCamelCase__							:				Dict          =      new_tgt_lang
       self.set_tgt_lang_special_tokens(UpperCAmelCase__							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      None:






       """simple docstring"""
       UpperCamelCase__							:				Optional[int]          =      self.lang_code_to_id[tgt_lang]
       UpperCamelCase__							:				Dict          =      [lang_code_id]




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      List[str]:






       """simple docstring"""
       return self.sp_model.encode(UpperCAmelCase__,		out_type=UpperCAmelCase__							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Optional[int]:






       """simple docstring"""
       return self.encoder.get(UpperCAmelCase__,		self.encoder[self.unk_token]							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      str:






       """simple docstring"""
       return self.decoder.get(UpperCAmelCase__,		self.unk_token							)




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      str:






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




   def       UpperCamelCase__  (    self,		__magic_name__,		__magic_name__=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,		__magic_name__,		__magic_name__ = None,		__magic_name__ = False							) ->      List[int]:






       """simple docstring"""

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

       UpperCamelCase__							:				Union[str, Any]          =      [1] * len(self.prefix_tokens							)
       UpperCamelCase__							:				Union[str, Any]          =      [1]
       if token_ids_a is None:
           return prefix_ones + ([0] * len(UpperCAmelCase__							)) + suffix_ones
       return prefix_ones + ([0] * len(UpperCAmelCase__							)) + ([0] * len(UpperCAmelCase__							)) + suffix_ones




   def       UpperCamelCase__  (    self							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				Union[str, Any]          =      self.encoder.copy()
       vocab.update(self.added_tokens_encoder							)
       return vocab




   def __getstate__(    self							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				List[str]          =      self.__dict__.copy()
       UpperCamelCase__							:				Dict          =      None
       return state




   def __setstate__(    self,		__magic_name__							) ->      None:






       """simple docstring"""
       UpperCamelCase__							:				str          =      d

       # for backward compatibility
       if not hasattr(self,		'''sp_model_kwargs'''							):
           UpperCamelCase__							:				Optional[Any]          =      {}

       UpperCamelCase__							:				Optional[int]          =      load_spm(self.spm_file,		self.sp_model_kwargs							)




   def       UpperCamelCase__  (    self,		__magic_name__,		__magic_name__ = None							) ->      Tuple[str]:






       """simple docstring"""
       UpperCamelCase__							:				str          =      Path(UpperCAmelCase__							)
       assert save_dir.is_dir(), f"{save_directory} should be a directory"
       UpperCamelCase__							:				List[Any]          =      save_dir / (
           (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
       )
       UpperCamelCase__							:				str          =      save_dir / (
           (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''spm_file''']
       )

       save_json(self.encoder,		UpperCAmelCase__							)

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

       return (str(UpperCAmelCase__							), str(UpperCAmelCase__							))




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str		,   __UpperCAmelCase:			Dict[str, Any]      )      ->	List[str]:
    UpperCamelCase__							:				int          =      sentencepiece.SentencePieceProcessor(**__UpperCAmelCase      )
    spm.Load(str(__UpperCAmelCase      )      )
    return spm




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	Tuple:
    with open(__UpperCAmelCase		,   '''r'''      ) as f:
        return json.load(__UpperCAmelCase      )





def 		lowerCAmelCase_    (  __UpperCAmelCase:			Tuple		,   __UpperCAmelCase:			str      )      ->	List[Any]:
    with open(__UpperCAmelCase		,   '''w'''      ) as f:
        json.dump(__UpperCAmelCase		,   __UpperCAmelCase		,   indent=2      )





'''simple docstring'''




class 		UpperCAmelCase_      :





     def __init__( self       :      List[str]    ,      UpperCAmelCase__       :      list[int]    )				->  None:
        lowerCAmelCase     =			len(UpperCAmelCase__    )
        lowerCAmelCase     =			[0] * len_array

        if len_array > 0:
           lowerCAmelCase     =			array[0]

        for i in range(1    ,      UpperCAmelCase__    ):
           lowerCAmelCase     =			self.prefix_sum[i - 1] + array[i]





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      int    )				->  int:
        if start == 0:
           return self.prefix_sum[end]

        return self.prefix_sum[end] - self.prefix_sum[start - 1]





     def 							__UpperCAmelCase      ( self       :      int    ,      UpperCAmelCase__       :      int    )				->  bool:
        lowerCAmelCase     =			{0}
        for sum_item in self.prefix_sum:
           if sum_item - target_sum in sums:
              return True

           sums.add(UpperCAmelCase__    )

        return False


if __name__ == "__main__":
       import doctest

       doctest.testmod()





