





import os
import re
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


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

SCREAMING_SNAKE_CASE__							:      Optional[Any]         =    {'''vocab_file''': '''spiece.model'''}

SCREAMING_SNAKE_CASE__							:      Dict         =    {
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    }
}

SCREAMING_SNAKE_CASE__							:      List[Any]         =    {
    '''google/bigbird-roberta-base''': 4_0_9_6,
    '''google/bigbird-roberta-large''': 4_0_9_6,
    '''google/bigbird-base-trivia-itc''': 4_0_9_6,
}







class 	__lowerCAmelCase      (       __lowerCAmelCase	):
   _UpperCamelCase			:    List[str]  		=					VOCAB_FILES_NAMES
   _UpperCamelCase			:    Union[str, Any]  		=					PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase			:    Optional[Any]  		=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase			:    str  		=					["""input_ids""", """attention_mask"""]
   _UpperCamelCase			:    List[int]  		=					[]





   def __init__(			self       ,      snake_case       ,      snake_case="<unk>"       ,      snake_case="<s>"       ,      snake_case="</s>"       ,      snake_case="<pad>"       ,      snake_case="[SEP]"       ,      snake_case="[MASK]"       ,      snake_case="[CLS]"       ,      snake_case = None       ,      **snake_case       ,      )					->	None:
      """simple docstring"""





      a__						:    List[Any]   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else bos_token
      a__						:    str   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else eos_token
      a__						:    Tuple   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else unk_token
      a__						:    Any   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else pad_token
      a__						:    Tuple   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else cls_token
      a__						:    Optional[Any]   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else sep_token

      # Mask token behave like a normal word, i.e. include the space before it
      a__						:    Optional[int]   		=	AddedToken(_SCREAMING_SNAKE_CASE       ,      lstrip=_SCREAMING_SNAKE_CASE       ,      rstrip=_SCREAMING_SNAKE_CASE   ) if isinstance(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE   ) else mask_token

      a__						:    Dict   		=	{} if sp_model_kwargs is None else sp_model_kwargs

      super().__init__(
          bos_token=_SCREAMING_SNAKE_CASE       ,      eos_token=_SCREAMING_SNAKE_CASE       ,      unk_token=_SCREAMING_SNAKE_CASE       ,      pad_token=_SCREAMING_SNAKE_CASE       ,      sep_token=_SCREAMING_SNAKE_CASE       ,      mask_token=_SCREAMING_SNAKE_CASE       ,      cls_token=_SCREAMING_SNAKE_CASE       ,      sp_model_kwargs=self.sp_model_kwargs       ,      **_SCREAMING_SNAKE_CASE       ,      )

      a__						:    Optional[int]   		=	vocab_file

      a__						:    int   		=	spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(_SCREAMING_SNAKE_CASE   )





   @property
   def 						_snake_case			(			self   )					->	Optional[Any]:
      """simple docstring"""





      return self.sp_model.get_piece_size()





   def 						_snake_case			(			self   )					->	Any:
      """simple docstring"""





      a__						:    int   		=	{self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab





   def __getstate__(			self   )					->	Dict:
      """simple docstring"""





      a__						:    int   		=	self.__dict__.copy()
      a__						:    List[str]   		=	None
      return state





   def __setstate__(			self       ,      snake_case   )					->	Optional[Any]:
      """simple docstring"""





      a__						:    Optional[int]   		=	d

      # for backward compatibility
      if not hasattr(self       ,      "sp_model_kwargs"   ):
         a__						:    Any   		=	{}

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





   def 						_snake_case			(			self       ,      snake_case   )					->	List[str]:
      """simple docstring"""





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





   def 						_snake_case			(			self       ,      snake_case   )					->	str:
      """simple docstring"""





      return self.sp_model.piece_to_id(_SCREAMING_SNAKE_CASE   )





   def 						_snake_case			(			self       ,      snake_case   )					->	str:
      """simple docstring"""





      a__						:    List[str]   		=	self.sp_model.IdToPiece(_SCREAMING_SNAKE_CASE   )
      return token





   def 						_snake_case			(			self       ,      snake_case   )					->	Any:
      """simple docstring"""





      a__						:    Union[str, Any]   		=	[]
      a__						:    Any   		=	""
      a__						:    List[str]   		=	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(_SCREAMING_SNAKE_CASE   ) + token
            a__						:    Dict   		=	True
            a__						:    Dict   		=	[]
         else:
            current_sub_tokens.append(_SCREAMING_SNAKE_CASE   )
            a__						:    List[str]   		=	False
      out_string += self.sp_model.decode(_SCREAMING_SNAKE_CASE   )
      return out_string.strip()





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = False       ,      snake_case = None       ,      snake_case = True       ,      **snake_case       ,      )					->	str:
      """simple docstring"""





      a__						:    int   		=	kwargs.pop("use_source_tokenizer"       ,      _SCREAMING_SNAKE_CASE   )

      a__						:    List[str]   		=	self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE       ,      skip_special_tokens=_SCREAMING_SNAKE_CASE   )

      # 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
      a__						:    int   		=	[]
      a__						:    int   		=	[]
      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(_SCREAMING_SNAKE_CASE   )   )
               a__						:    List[str]   		=	[]
            sub_texts.append(_SCREAMING_SNAKE_CASE   )
         else:
            current_sub_text.append(_SCREAMING_SNAKE_CASE   )
      if current_sub_text:
         sub_texts.append(self.convert_tokens_to_string(_SCREAMING_SNAKE_CASE   )   )

      # Mimic the behavior of the Rust tokenizer:
      # No space before [MASK] and [SEP]
      if spaces_between_special_tokens:
         a__						:    Dict   		=	re.sub(r" (\[(MASK|SEP)\])"       ,      r"\1"       ,      " ".join(_SCREAMING_SNAKE_CASE   )   )
      else:
         a__						:    Tuple   		=	"".join(_SCREAMING_SNAKE_CASE   )

      a__						:    Tuple   		=	(
          clean_up_tokenization_spaces
          if clean_up_tokenization_spaces is not None
          else self.clean_up_tokenization_spaces
      )
      if clean_up_tokenization_spaces:
         a__						:    Any   		=	self.clean_up_tokenization(_SCREAMING_SNAKE_CASE   )
         return clean_text
      else:
         return text





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	Tuple[str]:
      """simple docstring"""





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

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(_SCREAMING_SNAKE_CASE   ) and os.path.isfile(self.vocab_file   ):
         copyfile(self.vocab_file       ,      _SCREAMING_SNAKE_CASE   )
      elif not os.path.isfile(self.vocab_file   ):
         with open(_SCREAMING_SNAKE_CASE       ,      "wb"   ) as fi:
            a__						:    Optional[Any]   		=	self.sp_model.serialized_model_proto()
            fi.write(_SCREAMING_SNAKE_CASE   )

      return (out_vocab_file,)





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	List[int]:
      """simple docstring"""





      if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      a__						:    int   		=	[self.cls_token_id]
      a__						:    Any   		=	[self.sep_token_id]
      return cls + token_ids_a + sep + token_ids_a + sep





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None       ,      snake_case = False   )					->	List[int]:
      """simple docstring"""





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

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





   def 						_snake_case			(			self       ,      snake_case       ,      snake_case = None   )					->	List[int]:
      """simple docstring"""





      a__						:    List[str]   		=	[self.sep_token_id]
      a__						:    List[Any]   		=	[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]







'''simple docstring'''





from typing import Any

class   _a							:






     def __init__(					self   ,_SCREAMING_SNAKE_CASE       )				->     List[str]:
          _snake_case				= data
          _snake_case				= None







class   _a							:






     def __init__(					self       )				->     List[Any]:
          _snake_case				= None






     def 							_lowercase      (					self       )				->     str:
          _snake_case				= self.head
          while temp is not None:
               print(temp.data   ,end=" "       )
               _snake_case				= temp.next
          print()






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE       )				->     Dict:
          _snake_case				= Node(_SCREAMING_SNAKE_CASE       )
          _snake_case				= self.head
          _snake_case				= new_node






     def 							_lowercase      (					self   ,_SCREAMING_SNAKE_CASE   ,_SCREAMING_SNAKE_CASE       )				->     Tuple:
          if node_data_a == node_data_a:
               return
          else:
               _snake_case				= self.head
               while node_a is not None and node_a.data != node_data_a:
                    _snake_case				= node_a.next

               _snake_case				= self.head
               while node_a is not None and node_a.data != node_data_a:
                    _snake_case				= node_a.next

               if node_a is None or node_a is None:
                    return

               _snake_case				,   _snake_case				= node_a.data, node_a.data


if __name__ == "__main__":
   UpperCamelCase_		:     str          =		LinkedList()
   for i in range(5, 0, -1):
      ll.push(i)

   ll.print_list()

   ll.swap_nodes(1, 4)
   print('''After swapping''')
   ll.print_list()


