






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:
      SCREAMING_SNAKE_CASE__		:							List[Any] 				=				None

SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				logging.get_logger(__name__)
SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE__		:							str 				=				{
    """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"""
        ),
    },
}

SCREAMING_SNAKE_CASE__		:							List[Any] 				=				{
    """google/bigbird-roberta-base""": 40_96,
    """google/bigbird-roberta-large""": 40_96,
    """google/bigbird-base-trivia-itc""": 40_96,
}


SCREAMING_SNAKE_CASE__		:							str 				=				"""▁"""







class 				UpperCAmelCase_  (		__lowerCamelCase		):
     __lowerCamelCase      				=  VOCAB_FILES_NAMES
     __lowerCamelCase      				=  PRETRAINED_VOCAB_FILES_MAP
     __lowerCamelCase      				=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __lowerCamelCase      				=  BigBirdTokenizer
     __lowerCamelCase      				=  ['input_ids', 'attention_mask']
     __lowerCamelCase      				=  []




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

          # Mask token behave like a normal word, i.e. include the space before it
          UpperCAmelCase__      :  List[Any]				      =			AddedToken(_lowerCAmelCase	,						lstrip=_lowerCAmelCase	,						rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase	,						_lowerCAmelCase		) else mask_token

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

          UpperCAmelCase__      :  List[str]				      =			vocab_file
          UpperCAmelCase__      :  Union[str, Any]				      =			False if not self.vocab_file else True




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase = None		):
          UpperCAmelCase__      :  List[str]				      =			[self.sep_token_id]
          UpperCAmelCase__      :  str				      =			[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	,						_lowerCAmelCase	,						_lowerCAmelCase = None	,						_lowerCAmelCase = False		):

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




     def   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase = None		):
          UpperCAmelCase__      :  Any				      =			[self.sep_token_id]
          UpperCAmelCase__      :  Union[str, 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   __UpperCAmelCase  (				self	,						_lowerCAmelCase	,						_lowerCAmelCase = None		):
          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(_lowerCAmelCase		):
               logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
               return
          UpperCAmelCase__      :  Optional[int]				      =			os.path.join(
              _lowerCAmelCase	,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

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

          return (out_vocab_file,)








import unittest

from knapsack import knapsack as k
class 					lowercase__(							unittest.TestCase				):



	"""simple docstring"""




	def 		_lowercase    (			self    :     Optional[int]			)			->	str:
					lowercase_	    =   0
					lowercase_	    =   [0]
					lowercase_	    =   [0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				0			)

					lowercase_	    =   [6_0]
					lowercase_	    =   [1_0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				0			)
	def 		_lowercase    (			self    :     int			)			->	str:
					lowercase_	    =   3
					lowercase_	    =   [1, 2, 3]
					lowercase_	    =   [3, 2, 1]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				5			)




	def 		_lowercase    (			self    :     str			)			->	Tuple:
					lowercase_	    =   5_0
					lowercase_	    =   [6_0, 1_0_0, 1_2_0]
					lowercase_	    =   [1_0, 2_0, 3_0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				2_2_0			)


if __name__ == "__main__":
						unittest.main()




