
'''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': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


A			      =      '▁'




class     a_		(   a__):
					_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,    A=None,    A=None,    A="<unk>",    A="<s>",    A="</s>",    A="<pad>",    A="[SEP]",    A="[MASK]",    A="[CLS]",    **A,    ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= AddedToken(A,    lstrip=A,    rstrip=A      ) if isinstance(A,    A      ) else bos_token
									lowerCamelCase					:			Optional[Any]									= AddedToken(A,    lstrip=A,    rstrip=A      ) if isinstance(A,    A      ) else eos_token
									lowerCamelCase					:			Dict									= AddedToken(A,    lstrip=A,    rstrip=A      ) if isinstance(A,    A      ) else unk_token
									lowerCamelCase					:			Dict									= AddedToken(A,    lstrip=A,    rstrip=A      ) if isinstance(A,    A      ) else pad_token
									lowerCamelCase					:			Tuple									= AddedToken(A,    lstrip=A,    rstrip=A      ) if isinstance(A,    A      ) else cls_token
									lowerCamelCase					:			Union[str, 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
									lowerCamelCase					:			Optional[Any]									= 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,    )

									lowerCamelCase					:			Optional[Any]									= vocab_file
									lowerCamelCase					:			str									= False if not self.vocab_file else True
					def     UpperCAmelCase_							(     self,    A,    A = None      ):

									"""simple docstring"""


									lowerCamelCase					:			Dict									= [self.sep_token_id]
									lowerCamelCase					:			Tuple									= [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,    A,    A = None,    A = 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,    A,    A = None      ):

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= [self.sep_token_id]
									lowerCamelCase					:			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,    A,    A = 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
									lowerCamelCase					:			Any									= 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							(  UpperCAmelCase__							:							list[int]):
				if not nums:  # Makes sure that the list is not empty
								raise ValueError('List is empty')

				lowerCamelCase					:			int									= sum(UpperCAmelCase__) / len(UpperCAmelCase__)  # Calculate the average
				return sum(abs(x - average) for x in nums) / len(UpperCAmelCase__)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
