




"""simple docstring"""


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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_big_bird import BigBirdTokenizer
else:
     A_						=				None

A_						=				logging.get_logger(__name__)
A_						=				{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

A_						=				{
    '''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'''
        ),
    },
    '''tokenizer_file''': {
        '''google/bigbird-roberta-base''': (
            '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'''
        ),
    },
}

A_						=				{
    '''google/bigbird-roberta-base''': 40_96,
    '''google/bigbird-roberta-large''': 40_96,
    '''google/bigbird-base-trivia-itc''': 40_96,
}


A_						=				'''▁'''






class 					lowercase(     __a ):







 '''simple docstring'''





 lowercase__ 					=					VOCAB_FILES_NAMES
 lowercase__ 					=					PRETRAINED_VOCAB_FILES_MAP
 lowercase__ 					=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase__ 					=					BigBirdTokenizer
 lowercase__ 					=					["input_ids", "attention_mask"]
 lowercase__ 					=					[]


 def __init__(				self:		int,      a_:		Union[str, Any]=None,      a_:		Union[str, Any]=None,      a_:		Any="<unk>",      a_:		Tuple="<s>",      a_:		Tuple="</s>",      a_:		Dict="<pad>",      a_:		int="[SEP]",      a_:		Any="[MASK]",      a_:		str="[CLS]",      **a_:		Optional[Any],      ):




   '''simple docstring'''



   _snake_case							:		Dict								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else bos_token
   _snake_case							:		Union[str, Any]								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else eos_token
   _snake_case							:		str								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else unk_token
   _snake_case							:		Any								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else pad_token
   _snake_case							:		Union[str, Any]								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else cls_token
   _snake_case							:		Optional[Any]								=  AddedToken(a_,      lstrip=a_,      rstrip=a_		) if isinstance(a_,      a_		) else sep_token

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

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

   _snake_case							:		Any								=  vocab_file
   _snake_case							:		Optional[int]								=  False if not self.vocab_file else True


 def  UpperCamelCase_   (				self:		int,      a_:		List[int],      a_:		Optional[List[int]] = None		):




   '''simple docstring'''



   _snake_case							:		Optional[int]								=  [self.sep_token_id]
   _snake_case							:		List[Any]								=  [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:		Optional[int],      a_:		List[int],      a_:		Optional[List[int]] = None,      a_:		bool = False		):




   '''simple docstring'''



   if already_has_special_tokens:
     if token_ids_a is not None:
       raise ValueError(
           """You should not supply a second sequence if the provided sequence of """
           """ids is already formatted with special tokens for the model."""		)
     return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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


 def  UpperCamelCase_   (				self:		int,      a_:		List[int],      a_:		Optional[List[int]] = None		):




   '''simple docstring'''



   _snake_case							:		List[str]								=  [self.sep_token_id]
   _snake_case							:		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:		List[Any],      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(a_		):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
     return
   _snake_case							:		int								=  os.path.join(
       a_,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

   if os.path.abspath(self.vocab_file		) != os.path.abspath(a_		):
     copyfile(self.vocab_file,      a_		)

   return (out_vocab_file,)








"""simple docstring"""


def 					UpperCAmelCase__       (snake_case__							:					list    ):
  """simple docstring"""

  if len(snake_case__    ) <= 1:
    return [tuple(snake_case__    )]

  _snake_case							:		List[Any]								=  []

  def generate(snake_case__							:					int		,   snake_case__							:					list    ):
    if k == 1:
      res.append(tuple(arr[:]    )    )
      return

    generate(k - 1		,   snake_case__    )

    for i in range(k - 1    ):
      if k % 2 == 0:  # k is even
        _snake_case		,					_snake_case							:		Optional[Any]								=  arr[k - 1], arr[i]
      else:  # k is odd
        _snake_case		,					_snake_case							:		List[str]								=  arr[k - 1], arr[0]
      generate(k - 1		,   snake_case__    )

  generate(len(snake_case__    )		,   snake_case__    )
  return res


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


