




from collections.abc import Sequence
from queue import Queue


class 							__UpperCamelCase			:





				'''simple docstring'''



				def __init__( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_=None       , UpperCAmelCase_=None						):
											lowerCAmelCase   =		start
											lowerCAmelCase   =		end
											lowerCAmelCase   =		val
											lowerCAmelCase   =		(start + end) // 2
											lowerCAmelCase   =		left
											lowerCAmelCase   =		right






				def __repr__( self						):
											return F"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""




class 							__UpperCamelCase			:





				'''simple docstring'''



				def __init__( self       , UpperCAmelCase_       , UpperCAmelCase_						):
											lowerCAmelCase   =		collection
											lowerCAmelCase   =		function
											if self.collection:
																		lowerCAmelCase   =		self._build_tree(0       , len(UpperCAmelCase_						) - 1						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_						):
											self._update_tree(self.root       , UpperCAmelCase_       , UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_						):
											return self._query_range(self.root       , UpperCAmelCase_       , UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_						):
											if start == end:
																		return SegmentTreeNode(UpperCAmelCase_       , UpperCAmelCase_       , self.collection[start]						)
											lowerCAmelCase   =		(start + end) // 2
											lowerCAmelCase   =		self._build_tree(UpperCAmelCase_       , UpperCAmelCase_						)
											lowerCAmelCase   =		self._build_tree(mid + 1       , UpperCAmelCase_						)
											return SegmentTreeNode(UpperCAmelCase_       , UpperCAmelCase_       , self.fn(left.val       , right.val						)       , UpperCAmelCase_       , UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						):
											if node.start == i and node.end == i:
																		lowerCAmelCase   =		val
																		return
											if i <= node.mid:
																		self._update_tree(node.left       , UpperCAmelCase_       , UpperCAmelCase_						)
											else:
																		self._update_tree(node.right       , UpperCAmelCase_       , UpperCAmelCase_						)
											lowerCAmelCase   =		self.fn(node.left.val       , node.right.val						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_						):
											if node.start == i and node.end == j:
																		return node.val

											if i <= node.mid:
																		if j <= node.mid:
																									# range in left child tree
																									return self._query_range(node.left       , UpperCAmelCase_       , UpperCAmelCase_						)
																		else:
																									# range in left child tree and right child tree
																									return self.fn(
																									    self._query_range(node.left       , UpperCAmelCase_       , node.mid						)       , self._query_range(node.right       , node.mid + 1       , UpperCAmelCase_						)       , )
											else:
																		# range in right child tree
																		return self._query_range(node.right       , UpperCAmelCase_       , UpperCAmelCase_						)






				def       __snake_case		( self						):
											if self.root is not None:
																		lowerCAmelCase   =		Queue()
																		queue.put(self.root						)
																		while not queue.empty():
																									lowerCAmelCase   =		queue.get()
																									yield node

																									if node.left is not None:
																																queue.put(node.left						)

																									if node.right is not None:
																																queue.put(node.right						)


if __name__ == "__main__":
		import operator

		for fn in [operator.add, max, min]:
				print("""*""" * 50)
				UpperCAmelCase_						=SegmentTree([2, 1, 5, 3, 4], fn)
				for node in arr.traverse():
						print(node)
				print()

				arr.update(1, 5)
				for node in arr.traverse():
						print(node)
				print()

				print(arr.query_range(3, 4))  # 7
				print(arr.query_range(2, 2))  # 5
				print(arr.query_range(1, 3))  # 13
				print()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase_						={
    """configuration_efficientformer""": [
        """EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """EfficientFormerConfig""",
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=["""EfficientFormerImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """EfficientFormerForImageClassification""",
		    """EfficientFormerForImageClassificationWithTeacher""",
		    """EfficientFormerModel""",
		    """EfficientFormerPreTrainedModel""",
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """TFEfficientFormerForImageClassification""",
		    """TFEfficientFormerForImageClassificationWithTeacher""",
		    """TFEfficientFormerModel""",
		    """TFEfficientFormerPreTrainedModel""",
		]

if TYPE_CHECKING:
		from .configuration_efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_efficientformer import EfficientFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_efficientformer import (
				    EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    EfficientFormerForImageClassification,
				    EfficientFormerForImageClassificationWithTeacher,
				    EfficientFormerModel,
				    EfficientFormerPreTrainedModel,
				)
		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_efficientformer import (
				    TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFEfficientFormerForImageClassification,
				    TFEfficientFormerForImageClassificationWithTeacher,
				    TFEfficientFormerModel,
				    TFEfficientFormerPreTrainedModel,
				)

else:
		import sys

		UpperCAmelCase_						=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



