"""simple docstring"""






from __future__ import annotations

import math
class        snake_case :




					"""simple docstring"""

					def __init__(       self     :			Dict					,lowerCamelCase__     :			int    ):
									UpperCAmelCase__    =							size
									# approximate the overall size of segment tree with given value
									UpperCAmelCase__    =							[0 for i in range(0					,4 * size    )]
									# create array to store lazy update
									UpperCAmelCase__    =							[0 for i in range(0					,4 * size    )]
									UpperCAmelCase__    =							[0 for i in range(0					,4 * size    )]  # flag for lazy update







					def 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			int    ):
									return idx * 2







					def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			int    ):
									return idx * 2 + 1







					def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			list[int]    ):
									if left_element == right_element:
													UpperCAmelCase__    =							a[left_element - 1]
									else:
													UpperCAmelCase__    =							(left_element + right_element) // 2
													self.build(self.left(UpperCAmelCase_    )					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_    )
													self.build(self.right(UpperCAmelCase_    )					,mid + 1					,UpperCAmelCase_					,UpperCAmelCase_    )
													UpperCAmelCase__    =							max(
													    self.segment_tree[self.left(UpperCAmelCase_    )]					,self.segment_tree[self.right(UpperCAmelCase_    )]    )







					def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int    ):
									if self.flag[idx] is True:
													UpperCAmelCase__    =							self.lazy[idx]
													UpperCAmelCase__    =							False
													if left_element != right_element:
																	UpperCAmelCase__    =							self.lazy[idx]
																	UpperCAmelCase__    =							self.lazy[idx]
																	UpperCAmelCase__    =							True
																	UpperCAmelCase__    =							True

									if right_element < a or left_element > b:
													return True
									if left_element >= a and right_element <= b:
													UpperCAmelCase__    =							val
													if left_element != right_element:
																	UpperCAmelCase__    =							val
																	UpperCAmelCase__    =							val
																	UpperCAmelCase__    =							True
																	UpperCAmelCase__    =							True
													return True
									UpperCAmelCase__    =							(left_element + right_element) // 2
									self.update(self.left(UpperCAmelCase_    )					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_    )
									self.update(self.right(UpperCAmelCase_    )					,mid + 1					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_    )
									UpperCAmelCase__    =							max(
									    self.segment_tree[self.left(UpperCAmelCase_    )]					,self.segment_tree[self.right(UpperCAmelCase_    )]    )
									return True







					def 	__lowerCAmelCase		(       self     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int					,lowerCamelCase__     :			int    ):
									if self.flag[idx] is True:
													UpperCAmelCase__    =							self.lazy[idx]
													UpperCAmelCase__    =							False
													if left_element != right_element:
																	UpperCAmelCase__    =							self.lazy[idx]
																	UpperCAmelCase__    =							self.lazy[idx]
																	UpperCAmelCase__    =							True
																	UpperCAmelCase__    =							True
									if right_element < a or left_element > b:
													return -math.inf
									if left_element >= a and right_element <= b:
													return self.segment_tree[idx]
									UpperCAmelCase__    =							(left_element + right_element) // 2
									UpperCAmelCase__    =							self.query(self.left(UpperCAmelCase_    )					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_    )
									UpperCAmelCase__    =							self.query(self.right(UpperCAmelCase_    )					,mid + 1					,UpperCAmelCase_					,UpperCAmelCase_					,UpperCAmelCase_    )
									return max(UpperCAmelCase_					,UpperCAmelCase_    )







					def __str__(       self     :			List[str]    ):
									return str([self.query(1					,1					,self.size					,UpperCAmelCase_					,UpperCAmelCase_    ) for i in range(1					,self.size + 1    )]    )


if __name__ == "__main__":
						lowerCAmelCase__						:						List[str]		  =			[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
						lowerCAmelCase__						:						Tuple		  =			15
						lowerCAmelCase__						:						Optional[int]		  =			SegmentTree(size)
						segt.build(1, 1, size, A)
						print(segt.query(1, 1, size, 4, 6))
						print(segt.query(1, 1, size, 7, 11))
						print(segt.query(1, 1, size, 7, 12))
						segt.update(1, 1, size, 1, 3, 111)
						print(segt.query(1, 1, size, 1, 15))
						segt.update(1, 1, size, 7, 8, 235)
						print(segt)




"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCAmelCase__						:						int		  =			{
    'configuration_tapas': ['TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TapasConfig'],
    'tokenization_tapas': ['TapasTokenizer'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__						:						Union[str, Any]		  =			[
						    'TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TapasForMaskedLM',
						    'TapasForQuestionAnswering',
						    'TapasForSequenceClassification',
						    'TapasModel',
						    'TapasPreTrainedModel',
						    'load_tf_weights_in_tapas',
						]
try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__						:						Optional[Any]		  =			[
						    'TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFTapasForMaskedLM',
						    'TFTapasForQuestionAnswering',
						    'TFTapasForSequenceClassification',
						    'TFTapasModel',
						    'TFTapasPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig
						from .tokenization_tapas import TapasTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tapas import (
												    TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TapasForMaskedLM,
												    TapasForQuestionAnswering,
												    TapasForSequenceClassification,
												    TapasModel,
												    TapasPreTrainedModel,
												    load_tf_weights_in_tapas,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_tapas import (
												    TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFTapasForMaskedLM,
												    TFTapasForQuestionAnswering,
												    TFTapasForSequenceClassification,
												    TFTapasModel,
												    TFTapasPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase__						:						Dict		  =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



