



"""simple docstring"""






from copy import deepcopy



class      A__  :




	'''simple docstring'''





	def __init__(	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						list[int] | None = None			,     _SCREAMING_SNAKE_CASE:						int | None = None)							->			None:

				"""simple docstring"""

				if arr is None and size is not None:
							__lowerCAmelCase :    int				=			size
							__lowerCAmelCase :    List[Any]				=			[0] * size
				elif arr is not None:
							self.init(_SCREAMING_SNAKE_CASE)
				else:
							raise ValueError("Either arr or size must be specified")

	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     _SCREAMING_SNAKE_CASE:						list[int])							->			None:

				"""simple docstring"""

				__lowerCAmelCase :    str				=			len(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Tuple				=			deepcopy(_SCREAMING_SNAKE_CASE)
				for i in range(1			,     self.size):
							__lowerCAmelCase :    str				=			self.next_(_SCREAMING_SNAKE_CASE)
							if j < self.size:
										self.tree[j] += self.tree[i]

	def 				_SCREAMING_SNAKE_CASE  (	self:						str)							->			list[int]:

				"""simple docstring"""

				__lowerCAmelCase :    Union[str, Any]				=			self.tree[:]
				for i in range(self.size - 1			,     0			,     -1):
							__lowerCAmelCase :    Dict				=			self.next_(_SCREAMING_SNAKE_CASE)
							if j < self.size:
										arr[j] -= arr[i]
				return arr

	@staticmethod
	def 				_SCREAMING_SNAKE_CASE  (	_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				return index + (index & (-index))

	@staticmethod
	def 				_SCREAMING_SNAKE_CASE  (	_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				return index - (index & (-index))

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any			,     _SCREAMING_SNAKE_CASE:						int			,     _SCREAMING_SNAKE_CASE:						int)							->			None:

				"""simple docstring"""

				if index == 0:
							self.tree[0] += value
							return
				while index < self.size:
							self.tree[index] += value
							__lowerCAmelCase :    Dict				=			self.next_(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict			,     _SCREAMING_SNAKE_CASE:						int			,     _SCREAMING_SNAKE_CASE:						int)							->			None:

				"""simple docstring"""

				self.add(_SCREAMING_SNAKE_CASE			,     value - self.get(_SCREAMING_SNAKE_CASE))

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				if right == 0:
							return 0
				__lowerCAmelCase :    Tuple				=			self.tree[0]
				right -= 1  # make right inclusive
				while right > 0:
							result += self.tree[right]
							__lowerCAmelCase :    str				=			self.prev(_SCREAMING_SNAKE_CASE)
				return result

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						int			,     _SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				return self.prefix(_SCREAMING_SNAKE_CASE) - self.prefix(_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     _SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				return self.query(_SCREAMING_SNAKE_CASE			,     index + 1)







	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[Any]			,     _SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				value -= self.tree[0]
				if value < 0:
							return -1

				__lowerCAmelCase :    Dict				=			1  # Largest power of 2 <= size
				while j * 2 < self.size:
							j *= 2

				__lowerCAmelCase :    List[str]				=			0

				while j > 0:
							if i + j < self.size and self.tree[i + j] <= value:
										value -= self.tree[i + j]
										i += j
							j //= 2
				return i


if __name__ == "__main__":
	import doctest

	doctest.testmod()




"""simple docstring"""






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case				:  Tuple =       {
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:  Optional[Any] =       [
	    'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'AutoformerForPrediction',
	    'AutoformerModel',
	    'AutoformerPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

	__snake_case				:  Optional[int] =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)