"""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_rembert import RemBertTokenizer
else:
						lowerCAmelCase__  :  str						     =	None

lowerCAmelCase__  :  Dict						     =	logging.get_logger(__name__)
lowerCAmelCase__  :  List[str]						     =	{'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__  :  List[Any]						     =	{
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
    'tokenizer_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase__  :  str						     =	{
    'google/rembert': 256,
}

lowerCAmelCase__  :  Optional[int]						     =	'▁'
class 				snake_case       ( _UpperCamelCase				):




					"""simple docstring"""

					snake_case__				    = VOCAB_FILES_NAMES
					snake_case__				    = PRETRAINED_VOCAB_FILES_MAP
					snake_case__				    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					snake_case__				    = RemBertTokenizer







					def __init__(				self   :	int    ,lowerCamelCase__   :	List[str]=None    ,lowerCamelCase__   :	int=None    ,lowerCamelCase__   :	Dict=True    ,lowerCamelCase__   :	Any=True    ,lowerCamelCase__   :	int=False    ,lowerCamelCase__   :	Any="[CLS]"    ,lowerCamelCase__   :	Dict="[SEP]"    ,lowerCamelCase__   :	Dict="<unk>"    ,lowerCamelCase__   :	str="[SEP]"    ,lowerCamelCase__   :	Tuple="<pad>"    ,lowerCamelCase__   :	Optional[int]="[CLS]"    ,lowerCamelCase__   :	int="[MASK]"    ,**lowerCamelCase__   :	Optional[Any]    ,):
									# Mask token behave like a normal word, i.e. include the space before it
									UpperCAmelCase__             =							AddedToken(lowerCAmelCase_    ,lstrip=lowerCAmelCase_    ,rstrip=lowerCAmelCase_			) if isinstance(lowerCAmelCase_    ,lowerCAmelCase_			) else mask_token

									super().__init__(
									    lowerCAmelCase_    ,tokenizer_file=lowerCAmelCase_    ,do_lower_case=lowerCAmelCase_    ,remove_space=lowerCAmelCase_    ,keep_accents=lowerCAmelCase_    ,bos_token=lowerCAmelCase_    ,eos_token=lowerCAmelCase_    ,unk_token=lowerCAmelCase_    ,sep_token=lowerCAmelCase_    ,pad_token=lowerCAmelCase_    ,cls_token=lowerCAmelCase_    ,mask_token=lowerCAmelCase_    ,**lowerCAmelCase_    ,)

									UpperCAmelCase__             =							do_lower_case
									UpperCAmelCase__             =							remove_space
									UpperCAmelCase__             =							keep_accents
									UpperCAmelCase__             =							vocab_file
									UpperCAmelCase__             =							False if not self.vocab_file else True







					def 		__lowerCAmelCase						(				self   :	Dict    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							[self.sep_token_id]
									UpperCAmelCase__             =							[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 		__lowerCAmelCase						(				self   :	Tuple    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None    ,lowerCamelCase__   :	bool = 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 not None:
													return [1] + ([0] * len(lowerCAmelCase_			)) + [1] + ([0] * len(lowerCAmelCase_			)) + [1]
									return [1] + ([0] * len(lowerCAmelCase_			)) + [1]







					def 		__lowerCAmelCase						(				self   :	Any    ,lowerCamelCase__   :	List[int]    ,lowerCamelCase__   :	Optional[List[int]] = None			):
									UpperCAmelCase__             =							[self.sep_token_id]
									UpperCAmelCase__             =							[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 		__lowerCAmelCase						(				self   :	int    ,lowerCamelCase__   :	str    ,lowerCamelCase__   :	Optional[str] = None			):
									if not os.path.isdir(lowerCAmelCase_			):
													logger.error('Vocabulary path ({}) should be a directory'.format(lowerCAmelCase_			)			)
													return
									UpperCAmelCase__             =							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,)










from __future__ import annotations

import math

def   a_    ( lowerCAmelCase_      :			int,	lowerCAmelCase_      :			int,	lowerCAmelCase_      :			bool,	lowerCAmelCase_      :			list[int],	lowerCAmelCase_      :			float	):

   if depth < 0:
      raise ValueError('Depth cannot be less than 0'	)

   if len(lowerCAmelCase_	) == 0:
      raise ValueError('Scores cannot be empty'	)

   if depth == height:
      return scores[node_index]

   if is_max:
      return max(
          minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

   return min(
       minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

def   a_    ( ):
   __lowerCAmelCase								=	[90, 23, 6, 33, 21, 65, 123, 3_4423]
   __lowerCAmelCase								=	math.log(len(lowerCAmelCase_	),	2	)
   print('Optimal value : ',	end=''	)
   print(minimax(0,	0,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	)	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()

