from __future__ import annotations

UpperCAmelCase      		=					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]




class  __lowerCAmelCase	:



 '''simple docstring'''

 def __init__(      self							:		Optional[Any]							,      lowerCamelCase							:		int	)			->				None:
        _UpperCamelCase  :							int	    =	-1
        _UpperCamelCase  :							int	    =	-1
        _UpperCamelCase  :							list[int]	    =	[-1] * length
        _UpperCamelCase  :							Node | None	    =	None
        _UpperCamelCase  :							Node | None	    =	None

 def __repr__(      self							:		Optional[Any]	)			->				str:
        return f"Node(min_value={self.minn} max_value={self.maxx})"







def SCREAMING_SNAKE_CASE					(  lowercase_:						list[int]					):
       _UpperCamelCase  :							Dict	    =	Node(len(lowercase_					)					)
       _UpperCamelCase    ,   _UpperCamelCase  :							List[str]	    =	min(lowercase_					), max(lowercase_					)
       # Leaf node case where the node contains only one unique value
       if root.minn == root.maxx:
              return root
       _UpperCamelCase  :							Dict	    =	(root.minn + root.maxx) // 2

       _UpperCamelCase  :							list[int]	    =	[]
       _UpperCamelCase  :							list[int]	    =	[]

       for index, num in enumerate(lowercase_					):
              if num <= pivot:
                     left_arr.append(lowercase_					)
              else:
                     right_arr.append(lowercase_					)
              _UpperCamelCase  :							int	    =	len(lowercase_					)
       _UpperCamelCase  :							Any	    =	build_tree(lowercase_					)
       _UpperCamelCase  :							Optional[int]	    =	build_tree(lowercase_					)
       return root


def SCREAMING_SNAKE_CASE					(  lowercase_:						Node | None		,    lowercase_:						int		,    lowercase_:						int					):
       if index < 0 or node is None:
              return 0
       # Leaf node cases
       if node.minn == node.maxx:
              return index + 1 if node.minn == num else 0
       _UpperCamelCase  :							Tuple	    =	(node.minn + node.maxx) // 2
       if num <= pivot:
              # go the left subtree and map index to the left subtree
              return rank_till_index(node.left		,    lowercase_		,    node.map_left[index] - 1					)
       else:
              # go to the right subtree and map index to the right subtree
              return rank_till_index(node.right		,    lowercase_		,    index - node.map_left[index]					)


def SCREAMING_SNAKE_CASE					(  lowercase_:						Node | None		,    lowercase_:						int		,    lowercase_:						int		,    lowercase_:						int					):
       if start > end:
              return 0
       _UpperCamelCase  :							List[str]	    =	rank_till_index(lowercase_		,    lowercase_		,    lowercase_					)
       _UpperCamelCase  :							List[Any]	    =	rank_till_index(lowercase_		,    lowercase_		,    start - 1					)
       return rank_till_end - rank_before_start


def SCREAMING_SNAKE_CASE					(  lowercase_:						Node | None		,    lowercase_:						int		,    lowercase_:						int		,    lowercase_:						int					):
       if index > (end - start) or start > end or node is None:
              return -1
       # Leaf node case
       if node.minn == node.maxx:
              return node.minn
       # Number of elements in the left subtree in interval [start, end]
       _UpperCamelCase  :							Union[str, Any]	    =	node.map_left[end] - (
           node.map_left[start - 1] if start else 0
       )
       if num_elements_in_left_tree > index:
              return quantile(
                  node.left		,    lowercase_		,    (node.map_left[start - 1] if start else 0)		,    node.map_left[end] - 1		,    )
       else:
              return quantile(
                  node.right		,    index - num_elements_in_left_tree		,    start - (node.map_left[start - 1] if start else 0)		,    end - node.map_left[end]		,    )


def SCREAMING_SNAKE_CASE					(  lowercase_:						Node | None		,    lowercase_:						int		,    lowercase_:						int		,    lowercase_:						int		,    lowercase_:						int					):
       if (
           start > end
           or node is None
           or start_num > end_num
           or node.minn > end_num
           or node.maxx < start_num
       ):
              return 0
       if start_num <= node.minn and node.maxx <= end_num:
              return end - start + 1
       _UpperCamelCase  :							Optional[int]	    =	range_counting(
           node.left		,    (node.map_left[start - 1] if start else 0)		,    node.map_left[end] - 1		,    lowercase_		,    lowercase_		,    )
       _UpperCamelCase  :							int	    =	range_counting(
           node.right		,    start - (node.map_left[start - 1] if start else 0)		,    end - node.map_left[end]		,    lowercase_		,    lowercase_		,    )
       return left + right


if __name__ == "__main__":
 import doctest

 doctest.testmod()











'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A      :     Union[str, Any]       	=logging.get_logger(__name__)

_A      :     Tuple       	={
    '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/config.json''',
    '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json''',
    '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/config.json''',
    '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json''',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}

class _lowercase      (							_lowercase						):
							a							 =			"""splinter"""




							def __init__(				self:							List[str]     ,				UpperCamelCase__:							List[Any]=30_522     ,				UpperCamelCase__:							Union[str, Any]=768     ,				UpperCamelCase__:							str=12     ,				UpperCamelCase__:							Dict=12     ,				UpperCamelCase__:							Tuple=3_072     ,				UpperCamelCase__:							Optional[int]="gelu"     ,				UpperCamelCase__:							Optional[int]=0.1     ,				UpperCamelCase__:							str=0.1     ,				UpperCamelCase__:							List[Any]=512     ,				UpperCamelCase__:							List[str]=2     ,				UpperCamelCase__:							Any=0.02     ,				UpperCamelCase__:							Optional[Any]=1e-12     ,				UpperCamelCase__:							Dict=True     ,				UpperCamelCase__:							str=0     ,				UpperCamelCase__:							int=104     ,				**UpperCamelCase__:							Any     ,				):
														super().__init__(pad_token_id=UpperCamelCase__     ,				**UpperCamelCase__	)

														lowerCamelCase__   :      Union[str, Any]			    =			vocab_size
														lowerCamelCase__   :      str			    =			max_position_embeddings
														lowerCamelCase__   :      Tuple			    =			hidden_size
														lowerCamelCase__   :      Dict			    =			num_hidden_layers
														lowerCamelCase__   :      Tuple			    =			num_attention_heads
														lowerCamelCase__   :      Tuple			    =			intermediate_size
														lowerCamelCase__   :      Any			    =			hidden_act
														lowerCamelCase__   :      int			    =			hidden_dropout_prob
														lowerCamelCase__   :      List[str]			    =			attention_probs_dropout_prob
														lowerCamelCase__   :      Dict			    =			initializer_range
														lowerCamelCase__   :      List[Any]			    =			type_vocab_size
														lowerCamelCase__   :      Tuple			    =			layer_norm_eps
														lowerCamelCase__   :      Optional[Any]			    =			use_cache
														lowerCamelCase__   :      Optional[Any]			    =			question_token_id

