
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__							=				None

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

SCREAMING_SNAKE_CASE__							=				{
    '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__							=				{
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


SCREAMING_SNAKE_CASE__							=				'▁'
class 	A__   (						lowerCAmelCase__				):
							lowerCAmelCase__		:						List[Any]    			=							VOCAB_FILES_NAMES
							lowerCAmelCase__		:						Tuple    			=							PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase__		:						Dict    			=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase__		:						Any    			=							BigBirdTokenizer
							lowerCAmelCase__		:						str    			=							["input_ids", "attention_mask"]
							lowerCAmelCase__		:						Any    			=							[]





							def __init__( self  :   int     , _UpperCAmelCase  :   Dict=None     , _UpperCAmelCase  :   Any=None     , _UpperCAmelCase  :   Tuple="<unk>"     , _UpperCAmelCase  :   Tuple="<s>"     , _UpperCAmelCase  :   Union[str, Any]="</s>"     , _UpperCAmelCase  :   Optional[Any]="<pad>"     , _UpperCAmelCase  :   List[str]="[SEP]"     , _UpperCAmelCase  :   Optional[Any]="[MASK]"     , _UpperCAmelCase  :   List[Any]="[CLS]"     , **_UpperCAmelCase  :   Any     , )						->		Dict:



											"""simple docstring"""


											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else bos_token
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else eos_token
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else unk_token
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else pad_token
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else cls_token
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else sep_token

											# Mask token behave like a normal word, i.e. include the space before it
											__lowercase								=					AddedToken(__SCREAMING_SNAKE_CASE     , lstrip=__SCREAMING_SNAKE_CASE     , rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     , __SCREAMING_SNAKE_CASE				) else mask_token

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

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





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



											"""simple docstring"""


											__lowercase								=					[self.sep_token_id]
											__lowercase								=					[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 			a__ ( self  :   Tuple     , _UpperCAmelCase  :   List[int]     , _UpperCAmelCase  :   Optional[List[int]] = None     , _UpperCAmelCase  :   bool = False				)						->		List[int]:



											"""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(__SCREAMING_SNAKE_CASE				)) + [1]
											return [1] + ([0] * len(__SCREAMING_SNAKE_CASE				)) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE				)) + [1]





							def 			a__ ( self  :   Tuple     , _UpperCAmelCase  :   List[int]     , _UpperCAmelCase  :   Optional[List[int]] = None				)						->		List[int]:



											"""simple docstring"""


											__lowercase								=					[self.sep_token_id]
											__lowercase								=					[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 			a__ ( self  :   List[Any]     , _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(__SCREAMING_SNAKE_CASE				):
															logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
															return
											__lowercase								=					os.path.join(
											    __SCREAMING_SNAKE_CASE     , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)

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

											return (out_vocab_file,)








'''simple docstring'''



from __future__ import annotations







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     if len(a__						) == 0:
          raise ValueError("""find_max() arg is an empty sequence"""						)
     if (
         left >= len(a__						)
         or left < -len(a__						)
         or right >= len(a__						)
         or right < -len(a__						)
     ):
          raise IndexError("""list index out of range"""						)
     if left == right:
          return nums[left]
     __SCREAMING_SNAKE_CASE     =      (left + right) >> 1  # the middle
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    a__      ,    a__						)  # find max in range[left, mid]
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    mid + 1      ,    a__						)  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)






