


import os
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


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

snake_case_						:			Optional[int]													=							{'''vocab_file''': '''sentencepiece.bpe.model'''}

snake_case_						:			Tuple													=							{
    '''vocab_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'''
        ),
    },
}

snake_case_						:			int													=							{
    '''moussaKam/mbarthez''': 10_24,
    '''moussaKam/barthez''': 10_24,
    '''moussaKam/barthez-orangesum-title''': 10_24,
}

snake_case_						:			Tuple													=							'''▁'''

class 						A__							(		UpperCamelCase__  ):
						UpperCAmelCase             =						VOCAB_FILES_NAMES
						UpperCAmelCase             =						PRETRAINED_VOCAB_FILES_MAP
						UpperCAmelCase             =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCAmelCase             =						["input_ids", "attention_mask"]




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


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =AddedToken(_a				,    lstrip=_a				,    rstrip=_a  ) if isinstance(_a				,    _a  ) else mask_token

										_SCREAMING_SNAKE_CASE			  ={} if sp_model_kwargs is None else sp_model_kwargs

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

										_SCREAMING_SNAKE_CASE			  =vocab_file
										_SCREAMING_SNAKE_CASE			  =spm.SentencePieceProcessor(**self.sp_model_kwargs  )
										self.sp_model.Load(str(_a  )  )

										_SCREAMING_SNAKE_CASE			  ={'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

										_SCREAMING_SNAKE_CASE			  =len(self.sp_model  ) - 1
										_SCREAMING_SNAKE_CASE			  ={v: k for k, v in self.fairseq_tokens_to_ids.items()}




						def 							__UpperCamelCase				(       self					:      str				,    _a					:      List[int]				,    _a					:      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]
										_SCREAMING_SNAKE_CASE			  =[self.cls_token_id]
										_SCREAMING_SNAKE_CASE			  =[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep




						def 							__UpperCamelCase				(       self					:      List[str]				,    _a					:      List[int]				,    _a					:      Optional[List[int]] = None				,    _a					:      bool = False  )							->     List[int]:


										"""simple docstring"""





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

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




						def 							__UpperCamelCase				(       self					:      int				,    _a					:      List[int]				,    _a					:      Optional[List[int]] = None  )							->     List[int]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =[self.sep_token_id]
										_SCREAMING_SNAKE_CASE			  =[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]




						@property
						def 							__UpperCamelCase				(       self					:      Optional[int]  )							->     List[str]:


										"""simple docstring"""





										return len(self.sp_model  )




						def 							__UpperCamelCase				(       self					:      Tuple  )							->     Tuple:


										"""simple docstring"""





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




						def 							__UpperCamelCase				(       self					:      Tuple				,    _a					:      str  )							->     List[str]:


										"""simple docstring"""





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




						def 							__UpperCamelCase				(       self					:      Optional[int]				,    _a					:      Any  )							->     Optional[int]:


										"""simple docstring"""





										if token in self.fairseq_tokens_to_ids:
														return self.fairseq_tokens_to_ids[token]
										_SCREAMING_SNAKE_CASE			  =self.sp_model.PieceToId(_a  )

										return spm_id if spm_id else self.unk_token_id




						def 							__UpperCamelCase				(       self					:      Tuple				,    _a					:      Any  )							->     Optional[int]:


										"""simple docstring"""





										if index in self.fairseq_ids_to_tokens:
														return self.fairseq_ids_to_tokens[index]
										return self.sp_model.IdToPiece(_a  )




						def 							__UpperCamelCase				(       self					:      Dict				,    _a					:      Optional[int]  )							->     Dict:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =[]
										_SCREAMING_SNAKE_CASE			  =''''''
										_SCREAMING_SNAKE_CASE			  =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(_a  ) + token
																		_SCREAMING_SNAKE_CASE			  =True
																		_SCREAMING_SNAKE_CASE			  =[]
														else:
																		current_sub_tokens.append(_a  )
																		_SCREAMING_SNAKE_CASE			  =False
										out_string += self.sp_model.decode(_a  )
										return out_string.strip()




						def __getstate__(       self					:      Dict  )							->     str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =self.__dict__.copy()
										_SCREAMING_SNAKE_CASE			  =None
										return state




						def __setstate__(       self					:      Union[str, Any]				,    _a					:      Optional[int]  )							->     Optional[Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE			  =d

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

										_SCREAMING_SNAKE_CASE			  =spm.SentencePieceProcessor(**self.sp_model_kwargs  )
										self.sp_model.Load(self.vocab_file  )




						def 							__UpperCamelCase				(       self					:      Tuple				,    _a					:      str				,    _a					:      Optional[str] = None  )							->     Tuple[str]:


										"""simple docstring"""





										if not os.path.isdir(_a  ):
														logger.error(f"Vocabulary path ({save_directory}) should be a directory"  )
														return
										_SCREAMING_SNAKE_CASE			  =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  ) and os.path.isfile(self.vocab_file  ):
														copyfile(self.vocab_file				,    _a  )
										elif not os.path.isfile(self.vocab_file  ):
														with open(_a				,    '''wb'''  ) as fi:
																		_SCREAMING_SNAKE_CASE			  =self.sp_model.serialized_model_proto()
																		fi.write(_a  )

										return (out_vocab_file,)



snake_case_						:			dict[tuple[int, int, int], int]													=							{}







def 						lowerCamelCase(   a__	,a__	,a__):

				# if we are absent twice, or late 3 consecutive days,
				# no further prize strings are possible
				if late == 3 or absent == 2:
								return 0

				# if we have no days left, and have not failed any other rules,
				# we have a prize string
				if days == 0:
								return 1

				# No easy solution, so now we need to do the recursive calculation

				# First, check if the combination is already in the cache, and
				# if yes, return the stored value from there since we already
				# know the number of possible prize strings from this point on
				_SCREAMING_SNAKE_CASE			  =(days, absent, late)
				if key in cache:
								return cache[key]

				# now we calculate the three possible ways that can unfold from
				# this point on, depending on our attendance today

				# 1) if we are late (but not absent), the "absent" counter stays as
				# it is, but the "late" counter increases by one
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,a__	,late + 1)

				# 2) if we are absent, the "absent" counter increases by 1, and the
				# "late" counter resets to 0
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,absent + 1	,0)

				# 3) if we are on time, this resets the "late" counter and keeps the
				# absent counter
				_SCREAMING_SNAKE_CASE			  =_calculate(days - 1	,a__	,0)

				_SCREAMING_SNAKE_CASE			  =state_late + state_absent + state_ontime

				_SCREAMING_SNAKE_CASE			  =prizestrings
				return prizestrings







def 						lowerCamelCase(   a__ = 30):
				return _calculate(a__	,absent=0	,late=0)


if __name__ == "__main__":
							print(solution())