






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_camembert import CamembertTokenizer
else:
     UpperCAmelCase__				   =		None


UpperCAmelCase__				   =		logging.get_logger(__name__)

UpperCAmelCase__				   =		{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase__				   =		{
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/tokenizer.json",
    },
}

UpperCAmelCase__				   =		{
    "camembert-base": 512,
}

UpperCAmelCase__				   =		"▁"






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      __snake_case       =  VOCAB_FILES_NAMES
      __snake_case       =  PRETRAINED_VOCAB_FILES_MAP
      __snake_case       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __snake_case       =  ['''input_ids''', '''attention_mask''']
      __snake_case       =  CamembertTokenizer







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




       """simple docstring"""


       a		  =      AddedToken(__UpperCAmelCase ,					lstrip=__UpperCAmelCase ,					rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase ,					__UpperCAmelCase  ) else mask_token

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

       a		  =      vocab_file
       a		  =      False if not self.vocab_file else True







      def       __lowerCAmelCase					(      self      :						Dict ,					__UpperCAmelCase      :						List[int] ,					__UpperCAmelCase      :						Optional[List[int]] = None  )    ->List[int]:




       """simple docstring"""


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







      def       __lowerCAmelCase					(      self      :						int ,					__UpperCAmelCase      :						List[int] ,					__UpperCAmelCase      :						Optional[List[int]] = None  )    ->List[int]:




       """simple docstring"""


       a		  =      [self.sep_token_id]
       a		  =      [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 + sep + token_ids_a + sep  ) * [0]







      def       __lowerCAmelCase					(      self      :						Optional[int] ,					__UpperCAmelCase      :						str ,					__UpperCAmelCase      :						Optional[str] = None  )    ->Tuple[str]:




       """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
       a		  =      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,)










def 					snake_case_						(   lowerCAmelCase_				:  list					):

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

							__lowercase					:							Any			=   []

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

														generate(k - 1				,				lowerCAmelCase_					)

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

							generate(len(lowerCAmelCase_					)				,				lowerCAmelCase_					)
							return res


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