






from copy import deepcopy
class 						lowerCamelCase_				:







				def __init__(						self       ,					__lowerCAmelCase = None       ,					__lowerCAmelCase = None     ):
								"""simple docstring"""

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







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								__magic_name__		:List[Any]        =      len(__lowerCAmelCase     )
								__magic_name__		:Optional[int]        =      deepcopy(__lowerCAmelCase     )
								for i in range(1       ,					self.size     ):
												__magic_name__		:int        =      self.next_(__lowerCAmelCase     )
												if j < self.size:
																self.tree[j] += self.tree[i]







				def 			A	(						self     ):
								"""simple docstring"""
								__magic_name__		:Any        =      self.tree[:]
								for i in range(self.size - 1       ,					0       ,					-1     ):
												__magic_name__		:Tuple        =      self.next_(__lowerCAmelCase     )
												if j < self.size:
																arr[j] -= arr[i]
								return arr







				@staticmethod
				def 			A	(						__lowerCAmelCase     ):
								"""simple docstring"""
								return index + (index & (-index))







				@staticmethod
				def 			A	(						__lowerCAmelCase     ):
								"""simple docstring"""
								return index - (index & (-index))







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								if index == 0:
												self.tree[0] += value
												return
								while index < self.size:
												self.tree[index] += value
												__magic_name__		:Optional[Any]        =      self.next_(__lowerCAmelCase     )







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								self.add(__lowerCAmelCase       ,					value - self.get(__lowerCAmelCase     )     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								if right == 0:
												return 0
								__magic_name__		:int        =      self.tree[0]
								right -= 1  # make right inclusive
								while right > 0:
												result += self.tree[right]
												__magic_name__		:str        =      self.prev(__lowerCAmelCase     )
								return result







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self.prefix(__lowerCAmelCase     ) - self.prefix(__lowerCAmelCase     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self.query(__lowerCAmelCase       ,					index + 1     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								value -= self.tree[0]
								if value < 0:
												return -1

								__magic_name__		:Optional[int]        =      1  # Largest power of 2 <= size
								while j * 2 < self.size:
												j *= 2

								__magic_name__		:Dict        =      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()














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__      :			Tuple							=		{
    """configuration_table_transformer""": [
        """TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TableTransformerConfig""",
        """TableTransformerOnnxConfig""",
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__      :			List[str]							=		[
					    """TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TableTransformerForObjectDetection""",
					    """TableTransformerModel""",
					    """TableTransformerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_table_transformer import (
					    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    TableTransformerConfig,
					    TableTransformerOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_table_transformer import (
										    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TableTransformerForObjectDetection,
										    TableTransformerModel,
										    TableTransformerPreTrainedModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE__      :			Union[str, Any]							=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






