"""simple docstring"""
import os
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 SPIECE_UNDERLINE, logging


lowercase__ 	=     logging.get_logger(__name__)

lowercase__ 	=     {'vocab_file': 'spiece.model'}

lowercase__ 	=     {
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    }
}

lowercase__ 	=     {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

# Segments (not really needed)
lowercase__ 	=     0
lowercase__ 	=     1
lowercase__ 	=     2
lowercase__ 	=     3
lowercase__ 	=     4




class        __snake_case	(					__lowerCAmelCase    ):
      a__				=		VOCAB_FILES_NAMES
      a__				=		PRETRAINED_VOCAB_FILES_MAP
      a__				=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__				=		"""left"""



      def __init__(						self   ,      lowercase   ,      lowercase=False   ,      lowercase=True   ,      lowercase=False   ,      lowercase="<s>"   ,      lowercase="</s>"   ,      lowercase="<unk>"   ,      lowercase="<sep>"   ,      lowercase="<pad>"   ,      lowercase="<cls>"   ,      lowercase="<mask>"   ,      lowercase=["<eop>", "<eod>"]   ,      lowercase = None   ,      **lowercase   ,      )     ->      None:





        '''simple docstring'''





        a__:					List[Any]      							=     AddedToken(lowercase   ,      lstrip=lowercase   ,      rstrip=lowercase) if isinstance(lowercase   ,      lowercase) else mask_token

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

        super().__init__(
            do_lower_case=lowercase   ,      remove_space=lowercase   ,      keep_accents=lowercase   ,      bos_token=lowercase   ,      eos_token=lowercase   ,      unk_token=lowercase   ,      sep_token=lowercase   ,      pad_token=lowercase   ,      cls_token=lowercase   ,      mask_token=lowercase   ,      additional_special_tokens=lowercase   ,      sp_model_kwargs=self.sp_model_kwargs   ,      **lowercase   ,      )

        a__:					Tuple      							=     3

        a__:					List[Any]      							=     do_lower_case
        a__:					List[str]      							=     remove_space
        a__:					Optional[Any]      							=     keep_accents
        a__:					Optional[int]      							=     vocab_file

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



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





        '''simple docstring'''





        return len(self.sp_model)



      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





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



      def __getstate__(						self)     ->      int:





        '''simple docstring'''





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



      def __setstate__(						self   ,      lowercase)     ->      Optional[int]:





        '''simple docstring'''





        a__:					Optional[int]      							=     d

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

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



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      str:





        '''simple docstring'''





        if self.remove_space:
          a__:					Optional[int]      							=     ' '.join(inputs.strip().split())
        else:
          a__:					int      							=     inputs
        a__:					List[Any]      							=     outputs.replace('``'   ,      '"').replace('\'\''   ,      '"')

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

        return outputs



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      List[str]:





        '''simple docstring'''





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

        return new_pieces



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      Optional[int]:





        '''simple docstring'''





        return self.sp_model.PieceToId(lowercase)



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      Optional[int]:





        '''simple docstring'''





        return self.sp_model.IdToPiece(lowercase)



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





        '''simple docstring'''





        a__:					List[str]      							=     ''.join(lowercase).replace(lowercase   ,      ' ').strip()
        return out_string



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = False   ,      lowercase = None   ,      lowercase = True   ,      **lowercase   ,      )     ->      str:





        '''simple docstring'''





        a__:					Dict      							=     kwargs.pop('use_source_tokenizer'   ,      lowercase)

        a__:					Dict      							=     self.convert_ids_to_tokens(lowercase   ,      skip_special_tokens=lowercase)

        # 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__:					str      							=     []
        a__:					List[str]      							=     []
        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(lowercase))
              a__:					Tuple      							=     []
            sub_texts.append(lowercase)
          else:
            current_sub_text.append(lowercase)
        if current_sub_text:
          sub_texts.append(self.convert_tokens_to_string(lowercase))

        # Mimic the behavior of the Rust tokenizer:
        # By default, there are no spaces between special tokens
        a__:					Any      							=     ''.join(lowercase)

        a__:					str      							=     (
            clean_up_tokenization_spaces
            if clean_up_tokenization_spaces is not None
            else self.clean_up_tokenization_spaces
        )
        if clean_up_tokenization_spaces:
          a__:					Dict      							=     self.clean_up_tokenization(lowercase)
          return clean_text
        else:
          return text



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[int]:





        '''simple docstring'''





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



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None   ,      lowercase = False)     ->      List[int]:





        '''simple docstring'''





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

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



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[int]:





        '''simple docstring'''





        a__:					Any      							=     [self.sep_token_id]
        a__:					int      							=     [2]

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



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      Tuple[str]:





        '''simple docstring'''





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

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

        return (out_vocab_file,)



"""simple docstring"""
from __future__ import annotations




class        __snake_case	:



      def __init__(						self   ,      lowercase=None)     ->      Optional[Any]:





        '''simple docstring'''





        a__:					int      							=     data
        a__:					str      							=     None



      def __repr__(						self)     ->      List[str]:





        '''simple docstring'''





        a__:					Optional[Any]      							=     []
        a__:					Union[str, Any]      							=     self
        while temp:
          string_rep.append(f'{temp.data}')
          a__:					Tuple      							=     temp.next
        return "->".join(lowercase)







def 						__a       (     _SCREAMING_SNAKE_CASE       )     ->str:
  if not elements_list:
    raise Exception('The Elements List is empty'       )

  a__:					Any      							=     Node(elements_list[0]       )
  for i in range(1		,					len(_SCREAMING_SNAKE_CASE       )       ):
    a__:					Optional[Any]      							=     Node(elements_list[i]       )
    a__:					Tuple      							=     current.next
  return head







def 						__a       (     _SCREAMING_SNAKE_CASE       )     ->None:
  if head_node is not None and isinstance(_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       ):
    print_reverse(head_node.next       )
    print(head_node.data       )







def 						__a       (     )     ->Optional[Any]:
  from doctest import testmod

  testmod()

  a__:					Tuple      							=     make_linked_list([14, 52, 14, 12, 43]       )
  print('Linked List:'       )
  print(_SCREAMING_SNAKE_CASE       )
  print('Elements in Reverse:'       )
  print_reverse(_SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
 main()


