


"""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__       :							int        =  None

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

a__       :							Tuple        =  {
    '''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__       :							int        =  {
    '''google/bigbird-roberta-base''': 4_0_9_6,
    '''google/bigbird-roberta-large''': 4_0_9_6,
    '''google/bigbird-base-trivia-itc''': 4_0_9_6,
}


a__       :							Any        =  '''▁'''




class 				UpperCamelCase_			(				UpperCamelCase):

	"""simple docstring"""





	snake_case__       :						Optional[Any]					      =    VOCAB_FILES_NAMES
	snake_case__       :						Any					      =    PRETRAINED_VOCAB_FILES_MAP
	snake_case__       :						int					      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__       :						Tuple					      =    BigBirdTokenizer
	snake_case__       :						Union[str, Any]					      =    ["input_ids", "attention_mask"]
	snake_case__       :						List[int]					      =    []




	def __init__(				self    :       Union[str, Any]    ,    UpperCAmelCase__    :       Union[str, Any]=None    ,    UpperCAmelCase__    :       str=None    ,    UpperCAmelCase__    :       List[Any]="<unk>"    ,    UpperCAmelCase__    :       str="<s>"    ,    UpperCAmelCase__    :       Optional[Any]="</s>"    ,    UpperCAmelCase__    :       str="<pad>"    ,    UpperCAmelCase__    :       Tuple="[SEP]"    ,    UpperCAmelCase__    :       int="[MASK]"    ,    UpperCAmelCase__    :       int="[CLS]"    ,    **UpperCAmelCase__    :       List[Any]    ,    ) ->			List[Any]:
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else bos_token
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else eos_token
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else unk_token
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else pad_token
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else cls_token
						__SCREAMING_SNAKE_CASE		     =       AddedToken(UpperCAmelCase__    ,    lstrip=UpperCAmelCase__    ,    rstrip=UpperCAmelCase__     ) if isinstance(UpperCAmelCase__    ,    UpperCAmelCase__     ) else sep_token

						# Mask token behave like a normal word, i.e. include the space before it
						__SCREAMING_SNAKE_CASE		     =       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__    ,    unk_token=UpperCAmelCase__    ,    sep_token=UpperCAmelCase__    ,    pad_token=UpperCAmelCase__    ,    cls_token=UpperCAmelCase__    ,    mask_token=UpperCAmelCase__    ,    **UpperCAmelCase__    ,    )

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




	def 						UpperCAmelCase_   (				self    :       Union[str, Any]    ,    UpperCAmelCase__    :       List[int]    ,    UpperCAmelCase__    :       Optional[List[int]] = None     ) ->			List[int]:
						__SCREAMING_SNAKE_CASE		     =       [self.sep_token_id]
						__SCREAMING_SNAKE_CASE		     =       [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    :       Any    ,    UpperCAmelCase__    :       List[int]    ,    UpperCAmelCase__    :       Optional[List[int]] = None    ,    UpperCAmelCase__    :       bool = False     ) ->			List[int]:

						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(UpperCAmelCase__     )) + [1]
						return [1] + ([0] * len(UpperCAmelCase__     )) + [1] + ([0] * len(UpperCAmelCase__     )) + [1]




	def 						UpperCAmelCase_   (				self    :       str    ,    UpperCAmelCase__    :       List[int]    ,    UpperCAmelCase__    :       Optional[List[int]] = None     ) ->			List[int]:
						__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     ) * [0] + len(token_ids_a + sep     ) * [1]




	def 						UpperCAmelCase_   (				self    :       Optional[int]    ,    UpperCAmelCase__    :       str    ,    UpperCAmelCase__    :       Optional[str] = None     ) ->			Tuple[str]:
						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
						__SCREAMING_SNAKE_CASE		     =       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"""







import functools




def      UpperCAmelCase__ (lowerCAmelCase_						,		lowerCAmelCase_     ):




					'''simple docstring'''


					if not isinstance(lowerCAmelCase_						,		lowerCAmelCase_     ) or not all(isinstance(lowerCAmelCase_						,		lowerCAmelCase_     ) for day in days     ):
										raise ValueError("The parameter days should be a list of integers"     )

					if len(lowerCAmelCase_     ) != 3 or not all(isinstance(lowerCAmelCase_						,		lowerCAmelCase_     ) for cost in costs     ):
										raise ValueError("The parameter costs should be a list of three integers"     )

					if len(lowerCAmelCase_     ) == 0:
										return 0

					if min(lowerCAmelCase_     ) <= 0:
										raise ValueError("All days elements should be greater than 0"     )

					if max(lowerCAmelCase_     ) >= 366:
										raise ValueError("All days elements should be less than 366"     )

					__SCREAMING_SNAKE_CASE		     =       set(lowerCAmelCase_     )

					@functools.cache
					def dynamic_programming(lowerCAmelCase_     ) -> int:
										if index > 365:
															return 0

										if index not in days_set:
															return dynamic_programming(index + 1     )

										return min(
										    costs[0] + dynamic_programming(index + 1     )						,		costs[1] + dynamic_programming(index + 7     )						,		costs[2] + dynamic_programming(index + 30     )						,		)

					return dynamic_programming(1     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
