
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 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							str     	=				VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				MAX_MODEL_INPUT_SIZES
   _SCREAMING_SNAKE_CASE				:							Dict     	=				["input_ids", "attention_mask"]

   _SCREAMING_SNAKE_CASE				:							List[int]     	=				[]
   def __init__(self			: Union[str, Any] ,    snake_case_			: int ,    snake_case_			: int ,    snake_case_			: Any="<s>" ,    snake_case_			: str="</s>" ,    snake_case_			: int="<pad>" ,    snake_case_			: List[Any]="<unk>" ,    snake_case_			: List[str]=False ,    snake_case_			: Optional[Any]=False ,    snake_case_			: Tuple=None ,    snake_case_			: List[Any]=None ,    snake_case_			: Optional[Dict[str, Any]] = None ,    **snake_case_			: Union[str, Any] ,    ):
    __a			:  Union[str, Any]		    =  {} 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_ ,    )
    __a			:  List[Any]		    =  do_upper_case
    __a			:  int		    =  do_lower_case

    __a			:  str		    =  load_json(snake_case_       )
    __a			:  Union[str, Any]		    =  {v: k for k, v in self.encoder.items()}
    __a			:  Dict		    =  spm_file
    __a			:  Optional[Any]		    =  load_spm(snake_case_ ,    self.sp_model_kwargs       )

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

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

     self.set_tgt_lang_special_tokens(self._tgt_lang       )
    else:
     __a			:  List[Any]		    =  {}
   @property
   def 				lowerCAmelCase      (self			: List[str]       ):
    return len(self.encoder       )
   @property
   def 				lowerCAmelCase      (self			: Any       ):
    return self._tgt_lang
   @tgt_lang.setter
   def 				lowerCAmelCase      (self			: List[str] ,    snake_case_			: Optional[Any]       ):
    __a			:  Optional[int]		    =  new_tgt_lang
    self.set_tgt_lang_special_tokens(snake_case_       )
   def 				lowerCAmelCase      (self			: List[str] ,    snake_case_			: str       ):
    __a			:  Union[str, Any]		    =  self.lang_code_to_id[tgt_lang]
    __a			:  List[Any]		    =  [lang_code_id]
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    snake_case_			: str       ):
    return self.sp_model.encode(snake_case_ ,    out_type=snake_case_       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: Optional[int]       ):
    return self.encoder.get(snake_case_ ,    self.encoder[self.unk_token]       )
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    snake_case_			: int       ):
    return self.decoder.get(snake_case_ ,    self.unk_token       )
   def 				lowerCAmelCase      (self			: int ,    snake_case_			: List[str]       ):
    __a			:  int		    =  []
    __a			:  Dict		    =  ''''''
    for token in tokens:
     # make sure that special tokens are not decoded using sentencepiece model
     if token in self.all_special_tokens:
      __a			:  Tuple		    =  self.sp_model.decode(snake_case_       )
      out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
      __a			:  int		    =  []
     else:
      current_sub_tokens.append(snake_case_       )
    __a			:  Optional[Any]		    =  self.sp_model.decode(snake_case_       )
    out_string += decoded.upper() if self.do_upper_case else decoded
    return out_string.strip()
   def 				lowerCAmelCase      (self			: Tuple ,    snake_case_			: Optional[Any] ,    snake_case_			: List[Any]=None       ):
    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			: str ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None ,    snake_case_			: bool = False       ):

    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_       )

    __a			:  Tuple		    =  [1] * len(self.prefix_tokens       )
    __a			:  Optional[Any]		    =  [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 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  Any		    =  self.encoder.copy()
    vocab.update(self.added_tokens_encoder       )
    return vocab
   def __getstate__(self			: Tuple       ):
    __a			:  Optional[int]		    =  self.__dict__.copy()
    __a			:  int		    =  None
    return state
   def __setstate__(self			: Tuple ,    snake_case_			: Dict       ):
    __a			:  Any		    =  d

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

    __a			:  Dict		    =  load_spm(self.spm_file ,    self.sp_model_kwargs       )







   def 				lowerCAmelCase      (self			: List[str] ,    snake_case_			: str ,    snake_case_			: Optional[str] = None       ):
    __a			:  int		    =  Path(snake_case_       )
    assert save_dir.is_dir(), f"{save_directory} should be a directory"
    __a			:  List[Any]		    =  save_dir / (
        (filename_prefix + '''-''' if filename_prefix else '''''') + self.vocab_files_names['''vocab_file''']
    )
    __a			:  Optional[Any]		    =  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:
      __a			:  Any		    =  self.sp_model.serialized_model_proto()
      fi.write(snake_case_       )

    return (str(snake_case_       ), str(snake_case_       ))





def        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    Dict[str, Any]  ):
 __a			:  str		    =  sentencepiece.SentencePieceProcessor(**lowerCAmelCase__  )
 spm.Load(str(lowerCAmelCase__  )  )
 return spm




def        __UpperCamelCase					(    lowerCAmelCase__							:    str  ):
 with open(lowerCAmelCase__  ,       '''r'''  ) as f:
  return json.load(lowerCAmelCase__  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    Dict  ,       lowerCAmelCase__							:    str  ):
 with open(lowerCAmelCase__  ,       '''w'''  ) as f:
  json.dump(lowerCAmelCase__  ,       lowerCAmelCase__  ,       indent=2  )


def        __UpperCamelCase					(    lowerCAmelCase__							:    str  ,       lowerCAmelCase__							:    str  ):
 __a			:  Any		    =  len(lowerCAmelCase__  )
 __a			:  Union[str, Any]		    =  []
 for i in range(len(lowerCAmelCase__  ) - pat_len + 1  ):
  __a			:  List[Any]		    =  True
  for j in range(lowerCAmelCase__  ):
   if s[i + j] != pattern[j]:
    __a			:  Union[str, Any]		    =  False
    break
  if match_found:
   position.append(lowerCAmelCase__  )
 return position


if __name__ == "__main__":
      assert naive_pattern_search('ABCDEFG', 'DE') == [3]
      print(naive_pattern_search('ABAAABCDBBABCDDEBCABC', 'ABC'))
