




'''simple docstring'''



from __future__ import annotations

import math


class 		_snake_case					:




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




					def 				snake_case__						(      self							,							_lowerCamelCase):
								return idx * 2




					def 				snake_case__						(      self							,							_lowerCamelCase):
								return idx * 2 + 1




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase):
								if left_element == right_element:
											UpperCAmelCase__  :					List[Any]        =     a[left_element - 1]
								else:
											UpperCAmelCase__  :					Union[str, Any]        =     (left_element + right_element) // 2
											self.build(self.left(_lowerCamelCase)							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase)
											self.build(self.right(_lowerCamelCase)							,							mid + 1							,							_lowerCamelCase							,							_lowerCamelCase)
											UpperCAmelCase__  :					List[Any]        =     max(
											    self.segment_tree[self.left(_lowerCamelCase)]							,							self.segment_tree[self.right(_lowerCamelCase)])




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase):
								if self.flag[idx] is True:
											UpperCAmelCase__  :					int        =     self.lazy[idx]
											UpperCAmelCase__  :					Optional[int]        =     False
											if left_element != right_element:
														UpperCAmelCase__  :					Optional[int]        =     self.lazy[idx]
														UpperCAmelCase__  :					Any        =     self.lazy[idx]
														UpperCAmelCase__  :					Optional[int]        =     True
														UpperCAmelCase__  :					Optional[Any]        =     True

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




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase):
								if self.flag[idx] is True:
											UpperCAmelCase__  :					Any        =     self.lazy[idx]
											UpperCAmelCase__  :					List[Any]        =     False
											if left_element != right_element:
														UpperCAmelCase__  :					int        =     self.lazy[idx]
														UpperCAmelCase__  :					int        =     self.lazy[idx]
														UpperCAmelCase__  :					str        =     True
														UpperCAmelCase__  :					Tuple        =     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__  :					str        =     (left_element + right_element) // 2
								UpperCAmelCase__  :					Dict        =     self.query(self.left(_lowerCamelCase)							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase)
								UpperCAmelCase__  :					List[str]        =     self.query(self.right(_lowerCamelCase)							,							mid + 1							,							_lowerCamelCase							,							_lowerCamelCase							,							_lowerCamelCase)
								return max(_lowerCamelCase							,							_lowerCamelCase)




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


if __name__ == "__main__":
		__A	=[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
		__A	=15
		__A	=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, 1_11)
		print(segt.query(1, 1, size, 1, 15))
		segt.update(1, 1, size, 7, 8, 2_35)
		print(segt)



'''simple docstring'''



from typing import TYPE_CHECKING

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


__A	={
    'configuration_nezha': ['NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'NezhaConfig'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__A	=[
		    'NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'NezhaForNextSentencePrediction',
		    'NezhaForMaskedLM',
		    'NezhaForPreTraining',
		    'NezhaForMultipleChoice',
		    'NezhaForQuestionAnswering',
		    'NezhaForSequenceClassification',
		    'NezhaForTokenClassification',
		    'NezhaModel',
		    'NezhaPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_nezha import (
				    NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
				    NezhaForMaskedLM,
				    NezhaForMultipleChoice,
				    NezhaForNextSentencePrediction,
				    NezhaForPreTraining,
				    NezhaForQuestionAnswering,
				    NezhaForSequenceClassification,
				    NezhaForTokenClassification,
				    NezhaModel,
				    NezhaPreTrainedModel,
				)


else:
		import sys

		__A	=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)