






'''simple docstring'''
import os
from shutil import copyfile
from typing import Optional, Tuple

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
 from .tokenization_deberta_va import DebertaVaTokenizer
else:
 UpperCamelCase__	=     None

UpperCamelCase__	=     logging.get_logger(__name__)

UpperCamelCase__	=     {'vocab_file': 'spm.model', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase__	=     {
    'vocab_file': {
        'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'
        ),
        'microsoft/deberta-v2-xxlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'
        ),
    }
}

UpperCamelCase__	=     {
    'microsoft/deberta-v2-xlarge': 512,
    'microsoft/deberta-v2-xxlarge': 512,
    'microsoft/deberta-v2-xlarge-mnli': 512,
    'microsoft/deberta-v2-xxlarge-mnli': 512,
}

UpperCamelCase__	=     {
    'microsoft/deberta-v2-xlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xlarge-mnli': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge-mnli': {'do_lower_case': False},
}


class     _UpperCAmelCase  (						__lowerCamelCase     ):
    __lowerCamelCase:				str						    =      VOCAB_FILES_NAMES
    __lowerCamelCase:				Union[str, Any]						    =      PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase:				Optional[int]						    =      PRETRAINED_INIT_CONFIGURATION
    __lowerCamelCase:				Any						    =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase:				Optional[int]						    =      DebertaVaTokenizer




    def __init__(     self					:    List[Any]					,       a					:    Tuple=None					,       a					:    str=None					,       a					:    Any=False					,       a					:    List[Any]=False					,       a					:    Any="[CLS]"					,       a					:    Optional[int]="[SEP]"					,       a					:    int="[UNK]"					,       a					:    int="[SEP]"					,       a					:    Tuple="[PAD]"					,       a					:    Optional[Any]="[CLS]"					,       a					:    Optional[int]="[MASK]"					,       **a					:    int					,       ):






       '''simple docstring'''






       super().__init__(
           _UpperCamelCase					,       tokenizer_file=_UpperCamelCase					,       do_lower_case=_UpperCamelCase					,       bos_token=_UpperCamelCase					,       eos_token=_UpperCamelCase					,       unk_token=_UpperCamelCase					,       sep_token=_UpperCamelCase					,       pad_token=_UpperCamelCase					,       cls_token=_UpperCamelCase					,       mask_token=_UpperCamelCase					,       split_by_punct=_UpperCamelCase					,       **_UpperCamelCase					,       )

       lowercase_		:      Dict          =       do_lower_case
       lowercase_		:      Tuple          =       split_by_punct
       lowercase_		:      int          =       vocab_file
       lowercase_		:      Tuple          =       False if not self.vocab_file else True




    def 			lowerCAmelCase__			(     self					:    Optional[Any]					,       a					:    int					,       a					:    str=None     ):






       '''simple docstring'''






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




    def 			lowerCAmelCase__			(     self					:    List[str]					,       a					:    Any					,       a					:    List[Any]=None					,       a					:    Union[str, Any]=False     ):






       '''simple docstring'''






       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 			lowerCAmelCase__			(     self					:    Union[str, Any]					,       a					:    List[str]					,       a					:    str=None     ):






       '''simple docstring'''






       lowercase_		:      List[Any]          =       [self.sep_token_id]
       lowercase_		:      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]





    def 			lowerCAmelCase__			(     self					:    int					,       a					:    str					,       a					:    Optional[str] = None     ):






       '''simple docstring'''






       if not self.can_save_slow_tokenizer:
          raise ValueError(
              "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
              "tokenizer."     )

       if not os.path.isdir(_UpperCamelCase     ):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
          return
       lowercase_		:      Optional[int]          =       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     ):
          copyfile(self.vocab_file					,       _UpperCamelCase     )

       return (out_vocab_file,)












'''simple docstring'''
def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




   sequence.append(_UpperCamelCase							)

   lowercase_		:      Union[str, Any]          =       0
   while sequence[index] != target:
      index += 1

   sequence.pop()

   if index == len(_UpperCamelCase							):
      return None

   return index


if __name__ == "__main__":
 UpperCamelCase__	=     input('Enter numbers separated by comma:\n').strip()
 UpperCamelCase__	=     [int(item) for item in user_input.split(',')]

 UpperCamelCase__	=     input('Enter a single number to be found in the list:\n')
 UpperCamelCase__	=     int(target_input)
 UpperCamelCase__	=     sentinel_linear_search(sequence, target)
 if result is not None:
  print(f"""{target} found at positions: {result}""")
 else:
  print('Not found')




