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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCamelCase							=       logging.get_logger(__name__)

__lowerCamelCase							=       {"""vocab_file""": """spiece.model"""}

__lowerCamelCase							=       {
    """vocab_file""": {
        """bert_for_seq_generation""": (
            """https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model"""
        ),
    }
}

__lowerCamelCase							=       {"""bert_for_seq_generation""": 5_12}






class   UpperCAmelCase		(						A_ ):
   A__					:		Tuple						     =     VOCAB_FILES_NAMES
   A__					:		Optional[Any]						     =     PRETRAINED_VOCAB_FILES_MAP
   A__					:		Tuple						     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__					:		List[int]						     =     []
   A__					:		str						     =     ["input_ids", "attention_mask"]



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


          '''simple docstring'''


          snake_case       :   str							=      {} if sp_model_kwargs is None else sp_model_kwargs

          # Add extra_ids to the special token list
          super().__init__(
              bos_token=snake_case__    ,						eos_token=snake_case__    ,						unk_token=snake_case__    ,						pad_token=snake_case__    ,						sep_token=snake_case__    ,						sp_model_kwargs=self.sp_model_kwargs    ,						**snake_case__    ,						)

          snake_case       :   Tuple							=      vocab_file

          snake_case       :   Optional[int]							=      spm.SentencePieceProcessor(**self.sp_model_kwargs )
          self.sp_model.Load(snake_case__ )



   @property
   def 				_SCREAMING_SNAKE_CASE   (self		:					List[str] )		->	int:


          '''simple docstring'''


          return self.sp_model.get_piece_size()



   def 				_SCREAMING_SNAKE_CASE   (self		:					Union[str, Any] )		->	Union[str, Any]:


          '''simple docstring'''


          snake_case       :   Tuple							=      {self.convert_ids_to_tokens(snake_case__ ): i for i in range(self.vocab_size )}
          vocab.update(self.added_tokens_encoder )
          return vocab



   def __getstate__(self		:					Optional[Any] )		->	Optional[int]:


          '''simple docstring'''


          snake_case       :   List[Any]							=      self.__dict__.copy()
          snake_case       :   int							=      None
          return state



   def __setstate__(self		:					List[Any]    ,						snake_case__		:					Dict )		->	Optional[int]:


          '''simple docstring'''


          snake_case       :   Union[str, Any]							=      d

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

          snake_case       :   Tuple							=      spm.SentencePieceProcessor(**self.sp_model_kwargs )
          self.sp_model.Load(self.vocab_file )



   def 				_SCREAMING_SNAKE_CASE   (self		:					List[str]    ,						snake_case__		:					str )		->	List[str]:


          '''simple docstring'''


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



   def 				_SCREAMING_SNAKE_CASE   (self		:					Union[str, Any]    ,						snake_case__		:					List[str] )		->	str:


          '''simple docstring'''


          return self.sp_model.piece_to_id(snake_case__ )



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[Any]    ,						snake_case__		:					Dict )		->	Tuple:


          '''simple docstring'''


          snake_case       :   List[str]							=      self.sp_model.IdToPiece(snake_case__ )
          return token



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[int]    ,						snake_case__		:					Optional[Any] )		->	Union[str, Any]:


          '''simple docstring'''


          snake_case       :   str							=      []
          snake_case       :   Tuple							=      ""
          for token in tokens:
                 # make sure that special tokens are not decoded using sentencepiece model
                 if token in self.all_special_tokens:
                        out_string += self.sp_model.decode(snake_case__ ) + token
                        snake_case       :   str							=      []
                 else:
                        current_sub_tokens.append(snake_case__ )
          out_string += self.sp_model.decode(snake_case__ )
          return out_string.strip()



   def 				_SCREAMING_SNAKE_CASE   (self		:					str    ,						snake_case__		:					str    ,						snake_case__		:					Optional[str] = None )		->	Tuple[str]:


          '''simple docstring'''


          if not os.path.isdir(snake_case__ ):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
                 return
          snake_case       :   List[Any]							=      os.path.join(
              snake_case__    ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

          if os.path.abspath(self.vocab_file ) != os.path.abspath(snake_case__ ) and os.path.isfile(self.vocab_file ):
                 copyfile(self.vocab_file    ,						snake_case__ )
          elif not os.path.isfile(self.vocab_file ):
                 with open(snake_case__    ,						"wb" ) as fi:
                        snake_case       :   int							=      self.sp_model.serialized_model_proto()
                        fi.write(snake_case__ )

          return (out_vocab_file,)









from collections.abc import Generator
from math import sin




def 	a_      (    SCREAMING_SNAKE_CASE__					:      bytes     ):
       '''simple docstring'''





       if len(SCREAMING_SNAKE_CASE__     ) != 32:
              raise ValueError('Input must be of length 32'     )

       _lowerCamelCase       :		Any		=b''
       for i in [3, 2, 1, 0]:
              little_endian += string_aa[8 * i : 8 * i + 8]
       return little_endian




def 	a_      (    SCREAMING_SNAKE_CASE__					:      int     ):
       '''simple docstring'''





       if i < 0:
              raise ValueError('Input must be non-negative'     )

       _lowerCamelCase       :		Optional[int]		=format(SCREAMING_SNAKE_CASE__		,			'08x'     )[-8:]
       _lowerCamelCase       :		List[Any]		=b''
       for i in [3, 2, 1, 0]:
              little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('utf-8'     )
       return little_endian_hex




def 	a_      (    SCREAMING_SNAKE_CASE__					:      bytes     ):
       '''simple docstring'''





       _lowerCamelCase       :		Dict		=b''
       for char in message:
              bit_string += format(SCREAMING_SNAKE_CASE__		,			'08b'     ).encode('utf-8'     )
       _lowerCamelCase       :		Dict		=format(len(SCREAMING_SNAKE_CASE__     )		,			'064b'     ).encode('utf-8'     )

       # Pad bit_string to a multiple of 512 chars
       bit_string += b"1"
       while len(SCREAMING_SNAKE_CASE__     ) % 512 != 448:
              bit_string += b"0"
       bit_string += to_little_endian(start_len[32:]     ) + to_little_endian(start_len[:32]     )

       return bit_string




def 	a_      (    SCREAMING_SNAKE_CASE__					:      bytes     ):
       '''simple docstring'''





       if len(SCREAMING_SNAKE_CASE__     ) % 512 != 0:
              raise ValueError('Input must have length that\'s a multiple of 512'     )

       for pos in range(0		,			len(SCREAMING_SNAKE_CASE__     )		,			512     ):
              _lowerCamelCase       :		str		=bit_string[pos : pos + 512]
              _lowerCamelCase       :		Tuple		=[]
              for i in range(0		,			512		,			32     ):
                     block_words.append(int(to_little_endian(block[i : i + 32]     )		,			2     )     )
              yield block_words




def 	a_      (    SCREAMING_SNAKE_CASE__					:      int     ):
       '''simple docstring'''





       if i < 0:
              raise ValueError('Input must be non-negative'     )

       _lowerCamelCase       :		List[str]		=format(SCREAMING_SNAKE_CASE__		,			'032b'     )
       _lowerCamelCase       :		List[str]		=''
       for c in i_str:
              new_str += "1" if c == "0" else "0"
       return int(SCREAMING_SNAKE_CASE__		,			2     )




def 	a_      (    SCREAMING_SNAKE_CASE__					:      int		,			SCREAMING_SNAKE_CASE__					:      int     ):
       '''simple docstring'''





       return (a + b) % 2**32




def 	a_      (    SCREAMING_SNAKE_CASE__					:      int		,			SCREAMING_SNAKE_CASE__					:      int     ):
       '''simple docstring'''





       if i < 0:
              raise ValueError('Input must be non-negative'     )
       if shift < 0:
              raise ValueError('Shift must be non-negative'     )
       return ((i << shift) ^ (i >> (32 - shift))) % 2**32




def 	a_      (    SCREAMING_SNAKE_CASE__					:      bytes     ):
       '''simple docstring'''





       _lowerCamelCase       :		int		=preprocess(SCREAMING_SNAKE_CASE__     )

       _lowerCamelCase       :		Dict		=[int(2**32 * abs(sin(i + 1     )     )     ) for i in range(64     )]

       # Starting states
       _lowerCamelCase       :		str		=0X67_45_23_01
       _lowerCamelCase       :		Union[str, Any]		=0Xef_cd_ab_89
       _lowerCamelCase       :		List[str]		=0X98_ba_dc_fe
       _lowerCamelCase       :		int		=0X10_32_54_76

       _lowerCamelCase       :		Optional[int]		=[
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           7,
           12,
           17,
           22,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           5,
           9,
           14,
           20,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           4,
           11,
           16,
           23,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
           6,
           10,
           15,
           21,
       ]

       # Process bit string in chunks, each with 16 32-char words
       for block_words in get_block_words(SCREAMING_SNAKE_CASE__     ):
              _lowerCamelCase       :		Union[str, Any]		=aa
              _lowerCamelCase       :		List[Any]		=ba
              _lowerCamelCase       :		Dict		=ca
              _lowerCamelCase       :		List[Any]		=da

              # Hash current chunk
              for i in range(64     ):
                     if i <= 15:
                            # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                            _lowerCamelCase       :		Optional[Any]		=d ^ (b & (c ^ d))
                            _lowerCamelCase       :		Dict		=i
                     elif i <= 31:
                            # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                            _lowerCamelCase       :		Optional[int]		=c ^ (d & (b ^ c))
                            _lowerCamelCase       :		List[str]		=(5 * i + 1) % 16
                     elif i <= 47:
                            _lowerCamelCase       :		str		=b ^ c ^ d
                            _lowerCamelCase       :		int		=(3 * i + 5) % 16
                     else:
                            _lowerCamelCase       :		Optional[Any]		=c ^ (b | not_aa(SCREAMING_SNAKE_CASE__     ))
                            _lowerCamelCase       :		Dict		=(7 * i) % 16
                     _lowerCamelCase       :		Any		=(f + a + added_consts[i] + block_words[g]) % 2**32
                     _lowerCamelCase       :		str		=d
                     _lowerCamelCase       :		Any		=c
                     _lowerCamelCase       :		Union[str, Any]		=b
                     _lowerCamelCase       :		Dict		=sum_aa(SCREAMING_SNAKE_CASE__		,			left_rotate_aa(SCREAMING_SNAKE_CASE__		,			shift_amounts[i]     )     )

              # Add hashed chunk to running total
              _lowerCamelCase       :		Optional[Any]		=sum_aa(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__     )
              _lowerCamelCase       :		List[str]		=sum_aa(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__     )
              _lowerCamelCase       :		Optional[int]		=sum_aa(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__     )
              _lowerCamelCase       :		List[str]		=sum_aa(SCREAMING_SNAKE_CASE__		,			SCREAMING_SNAKE_CASE__     )

       _lowerCamelCase       :		List[Any]		=reformat_hex(SCREAMING_SNAKE_CASE__     ) + reformat_hex(SCREAMING_SNAKE_CASE__     ) + reformat_hex(SCREAMING_SNAKE_CASE__     ) + reformat_hex(SCREAMING_SNAKE_CASE__     )
       return digest


if __name__ == "__main__":
 import doctest

 doctest.testmod()


