

import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_a			=       logging.get_logger(__name__)
_a			=       {'''vocab_file''': '''spiece.model'''}

_a			=       {
    '''vocab_file''': {
        '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/spiece.model''',
        '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/spiece.model''',
    },
}

_a			=       {
    '''google/fnet-base''': 5_1_2,
    '''google/fnet-large''': 5_1_2,
}

_a			=       '''▁'''






class 							A_			(		__A ):
     _lowercase      :					Optional[Any]       =     VOCAB_FILES_NAMES
     _lowercase      :					int       =     PRETRAINED_VOCAB_FILES_MAP
     _lowercase      :					List[Any]       =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowercase      :					Dict       =     ['input_ids', 'token_type_ids']


     def __init__(							self      :		List[str]      ,  UpperCAmelCase      :		Dict      ,  UpperCAmelCase      :		List[Any]=False      ,  UpperCAmelCase      :		Dict=True      ,  UpperCAmelCase      :		int=True      ,  UpperCAmelCase      :		str="<unk>"      ,  UpperCAmelCase      :		Optional[Any]="[SEP]"      ,  UpperCAmelCase      :		int="<pad>"      ,  UpperCAmelCase      :		Optional[int]="[CLS]"      ,  UpperCAmelCase      :		Union[str, Any]="[MASK]"      ,  UpperCAmelCase      :		Optional[Dict[str, Any]] = None      ,  **UpperCAmelCase      :		List[str]      ,  )							->     None:
      __lowerCAmelCase:       Any            =				(
          AddedToken(UpperCAmelCase      ,  lstrip=UpperCAmelCase      ,  rstrip=UpperCAmelCase      ,  normalized=UpperCAmelCase )
          if isinstance(UpperCAmelCase      ,  UpperCAmelCase )
          else mask_token
      )

      __lowerCAmelCase:       Optional[int]            =				{} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          do_lower_case=UpperCAmelCase      ,  remove_space=UpperCAmelCase      ,  keep_accents=UpperCAmelCase      ,  unk_token=UpperCAmelCase      ,  sep_token=UpperCAmelCase      ,  pad_token=UpperCAmelCase      ,  cls_token=UpperCAmelCase      ,  mask_token=UpperCAmelCase      ,  sp_model_kwargs=self.sp_model_kwargs      ,  **UpperCAmelCase      ,  )

      __lowerCAmelCase:       Dict            =				do_lower_case
      __lowerCAmelCase:       Dict            =				remove_space
      __lowerCAmelCase:       Any            =				keep_accents
      __lowerCAmelCase:       str            =				vocab_file

      __lowerCAmelCase:       Union[str, Any]            =				spm.SentencePieceProcessor(**self.sp_model_kwargs )
      self.sp_model.Load(UpperCAmelCase )


     @property
     def   UpperCAmelCase  (							self      :		Any )							->     Dict:
      return len(self.sp_model )


     def   UpperCAmelCase  (							self      :		Optional[int] )							->     Tuple:
      __lowerCAmelCase:       str            =				{self.convert_ids_to_tokens(UpperCAmelCase ): i for i in range(self.vocab_size )}
      vocab.update(self.added_tokens_encoder )
      return vocab


     def __getstate__(							self      :		Tuple )							->     Any:
      __lowerCAmelCase:       Union[str, Any]            =				self.__dict__.copy()
      __lowerCAmelCase:       Optional[int]            =				None
      return state


     def __setstate__(							self      :		int      ,  UpperCAmelCase      :		List[str] )							->     Optional[Any]:
      __lowerCAmelCase:       int            =				d

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

      __lowerCAmelCase:       List[str]            =				spm.SentencePieceProcessor(**self.sp_model_kwargs )
      self.sp_model.Load(self.vocab_file )


     def   UpperCAmelCase  (							self      :		str      ,  UpperCAmelCase      :		str )							->     Any:

      if self.remove_space:
       __lowerCAmelCase:       List[str]            =				" ".join(inputs.strip().split() )
      else:
       __lowerCAmelCase:       List[str]            =				inputs
      __lowerCAmelCase:       str            =				outputs.replace('``'      ,  '\"' ).replace('\'\''      ,  '\"' )

      if not self.keep_accents:
       __lowerCAmelCase:       int            =				unicodedata.normalize('NFKD'      ,  UpperCAmelCase )
       __lowerCAmelCase:       List[str]            =				"".join([c for c in outputs if not unicodedata.combining(UpperCAmelCase )] )
      if self.do_lower_case:
       __lowerCAmelCase:       Union[str, Any]            =				outputs.lower()

      return outputs


     def   UpperCAmelCase  (							self      :		str      ,  UpperCAmelCase      :		str )							->     List[str]:
      __lowerCAmelCase:       Union[str, Any]            =				self.preprocess_text(UpperCAmelCase )
      __lowerCAmelCase:       Tuple            =				self.sp_model.encode(UpperCAmelCase      ,  out_type=UpperCAmelCase )
      __lowerCAmelCase:       Any            =				[]
      for piece in pieces:
       if len(UpperCAmelCase ) > 1 and piece[-1] == str(',' ) and piece[-2].isdigit():
        __lowerCAmelCase:       Optional[Any]            =				self.sp_model.EncodeAsPieces(piece[:-1].replace(UpperCAmelCase      ,  '' ) )
        if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0] ) == 1:
          __lowerCAmelCase:       Any            =				cur_pieces[1:]
         else:
          __lowerCAmelCase:       Union[str, Any]            =				cur_pieces[0][1:]
        cur_pieces.append(piece[-1] )
        new_pieces.extend(UpperCAmelCase )
       else:
        new_pieces.append(UpperCAmelCase )

      return new_pieces


     def   UpperCAmelCase  (							self      :		Optional[Any]      ,  UpperCAmelCase      :		Optional[Any] )							->     Tuple:
      return self.sp_model.PieceToId(UpperCAmelCase )


     def   UpperCAmelCase  (							self      :		Optional[int]      ,  UpperCAmelCase      :		Optional[Any] )							->     Any:
      return self.sp_model.IdToPiece(UpperCAmelCase )


     def   UpperCAmelCase  (							self      :		int      ,  UpperCAmelCase      :		Any )							->     Optional[Any]:
      __lowerCAmelCase:       Optional[Any]            =				[]
      __lowerCAmelCase:       Any            =				""
      __lowerCAmelCase:       Optional[int]            =				False
      for token in tokens:
       # make sure that special tokens are not decoded using sentencepiece model
       if token in self.all_special_tokens:
        if not prev_is_special:
         out_string += " "
        out_string += self.sp_model.decode(UpperCAmelCase ) + token
        __lowerCAmelCase:       List[Any]            =				True
        __lowerCAmelCase:       List[Any]            =				[]
       else:
        current_sub_tokens.append(UpperCAmelCase )
        __lowerCAmelCase:       List[str]            =				False
      out_string += self.sp_model.decode(UpperCAmelCase )
      return out_string.strip()


     def   UpperCAmelCase  (							self      :		Union[str, Any]      ,  UpperCAmelCase      :		List[int]      ,  UpperCAmelCase      :		bool = False      ,  UpperCAmelCase      :		bool = None      ,  UpperCAmelCase      :		bool = True      ,  **UpperCAmelCase      :		Any      ,  )							->     str:
      __lowerCAmelCase:       Tuple            =				kwargs.pop('use_source_tokenizer'      ,  UpperCAmelCase )

      __lowerCAmelCase:       str            =				self.convert_ids_to_tokens(UpperCAmelCase      ,  skip_special_tokens=UpperCAmelCase )

      # To avoid mixing byte-level and unicode for byte-level BPT
      # we need to build string separately for added tokens and byte-level tokens
      # cf. https://github.com/huggingface/transformers/issues/1133
      __lowerCAmelCase:       Optional[int]            =				[]
      __lowerCAmelCase:       List[Any]            =				[]
      for token in filtered_tokens:
       if skip_special_tokens and token in self.all_special_ids:
        continue
       if token in self.added_tokens_encoder:
        if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase ) )
         __lowerCAmelCase:       List[str]            =				[]
        sub_texts.append(UpperCAmelCase )
       else:
        current_sub_text.append(UpperCAmelCase )
      if current_sub_text:
       sub_texts.append(self.convert_tokens_to_string(UpperCAmelCase ) )

      # Mimic the behavior of the Rust tokenizer:
      # No space after <unk>
      if spaces_between_special_tokens:
       __lowerCAmelCase:       List[Any]            =				re.sub(R'(<unk>) '      ,  R'\1'      ,  ' '.join(UpperCAmelCase ) )
      else:
       __lowerCAmelCase:       Optional[Any]            =				"".join(UpperCAmelCase )

      __lowerCAmelCase:       int            =				(
          clean_up_tokenization_spaces
          if clean_up_tokenization_spaces is not None
          else self.clean_up_tokenization_spaces
      )
      if clean_up_tokenization_spaces:
       __lowerCAmelCase:       Union[str, Any]            =				self.clean_up_tokenization(UpperCAmelCase )
       return clean_text
      else:
       return text


     def   UpperCAmelCase  (							self      :		int      ,  UpperCAmelCase      :		List[int]      ,  UpperCAmelCase      :		Optional[List[int]] = None )							->     List[int]:
      __lowerCAmelCase:       str            =				[self.sep_token_id]
      __lowerCAmelCase:       Tuple            =				[self.cls_token_id]
      if token_ids_a is None:
       return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep


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

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

      if token_ids_a is not None:
       return [1] + ([0] * len(UpperCAmelCase )) + [1] + ([0] * len(UpperCAmelCase )) + [1]
      return [1] + ([0] * len(UpperCAmelCase )) + [1]


     def   UpperCAmelCase  (							self      :		Optional[Any]      ,  UpperCAmelCase      :		List[int]      ,  UpperCAmelCase      :		Optional[List[int]] = None )							->     List[int]:
      __lowerCAmelCase:       str            =				[self.sep_token_id]
      __lowerCAmelCase:       Optional[int]            =				[self.cls_token_id]

      if token_ids_a is None:
       return len(cls + token_ids_a + sep ) * [0]
      return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]


     def   UpperCAmelCase  (							self      :		Optional[int]      ,  UpperCAmelCase      :		str      ,  UpperCAmelCase      :		Optional[str] = None )							->     Tuple[str]:

      if not os.path.isdir(UpperCAmelCase ):
       logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
       return
      __lowerCAmelCase:       Optional[Any]            =				os.path.join(
          UpperCAmelCase      ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )

      if os.path.abspath(self.vocab_file ) != os.path.abspath(UpperCAmelCase ) and os.path.isfile(self.vocab_file ):
       copyfile(self.vocab_file      ,  UpperCAmelCase )
      elif not os.path.isfile(self.vocab_file ):
       with open(UpperCAmelCase      ,  'wb' ) as fi:
        __lowerCAmelCase:       str            =				self.sp_model.serialized_model_proto()
        fi.write(UpperCAmelCase )

      return (out_vocab_file,)








from __future__ import annotations







def _a			(	SCREAMING_SNAKE_CASE		:      list[int]		)   ->   list[int]:

 """simple docstring"""






 if not list_of_ints:
  return []

 if min(SCREAMING_SNAKE_CASE		) < 0:
  raise ValueError('All numbers must be positive'		)

 __lowerCAmelCase:       Tuple            =				max(len(bin(SCREAMING_SNAKE_CASE		)[2:]		) for x in list_of_ints		)
 return _msd_radix_sort(SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE		)







def _a			(	SCREAMING_SNAKE_CASE		:      list[int]   , SCREAMING_SNAKE_CASE		:      int		)   ->   list[int]:

 """simple docstring"""






 if bit_position == 0 or len(SCREAMING_SNAKE_CASE		) in [0, 1]:
  return list_of_ints

 __lowerCAmelCase:       List[str]            =				[]
 __lowerCAmelCase:       Any            =				[]
 # Split numbers based on bit at bit_position from the right
 for number in list_of_ints:
  if (number >> (bit_position - 1)) & 1:
   # number has a one at bit bit_position
   ones.append(SCREAMING_SNAKE_CASE		)
  else:
   # number has a zero at bit bit_position
   zeros.append(SCREAMING_SNAKE_CASE		)

    # recursively split both lists further
 __lowerCAmelCase:       Dict            =				_msd_radix_sort(SCREAMING_SNAKE_CASE   , bit_position - 1		)
 __lowerCAmelCase:       Union[str, Any]            =				_msd_radix_sort(SCREAMING_SNAKE_CASE   , bit_position - 1		)

 # recombine lists
 __lowerCAmelCase:       List[str]            =				zeros
 res.extend(SCREAMING_SNAKE_CASE		)

 return res







def _a			(	SCREAMING_SNAKE_CASE		:      list[int]		)   ->   List[str]:

 """simple docstring"""






 __lowerCAmelCase:       Optional[int]            =				len(SCREAMING_SNAKE_CASE		)
 if not list_of_ints or length == 1:
  return

 if min(SCREAMING_SNAKE_CASE		) < 0:
  raise ValueError('All numbers must be positive'		)

 __lowerCAmelCase:       Optional[int]            =				max(len(bin(SCREAMING_SNAKE_CASE		)[2:]		) for x in list_of_ints		)
 _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE   , 0   , SCREAMING_SNAKE_CASE		)







def _a			(	SCREAMING_SNAKE_CASE		:      list[int]   , SCREAMING_SNAKE_CASE		:      int   , SCREAMING_SNAKE_CASE		:      int   , SCREAMING_SNAKE_CASE		:      int		)   ->   str:

 """simple docstring"""






 if bit_position == 0 or end_index - begin_index <= 1:
  return

 bit_position -= 1

 __lowerCAmelCase:       Optional[int]            =				begin_index
 __lowerCAmelCase:       Optional[Any]            =				end_index - 1
 while i <= j:
  __lowerCAmelCase:       Any            =				False
  if not (list_of_ints[i] >> bit_position) & 1:
   # found zero at the beginning
   i += 1
   __lowerCAmelCase:       Optional[Any]            =				True
  if (list_of_ints[j] >> bit_position) & 1:
   # found one at the end
   j -= 1
   __lowerCAmelCase:       List[str]            =				True

  if changed:
   continue

  __lowerCAmelCase     ,							__lowerCAmelCase:       Union[str, Any]            =				list_of_ints[j], list_of_ints[i]
  j -= 1
  if j != i:
   i += 1

 _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE		)
 _msd_radix_sort_inplace(SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE   , SCREAMING_SNAKE_CASE		)


if __name__ == "__main__":
  import doctest

  doctest.testmod()





