



'''simple docstring'''






from collections.abc import Sequence
from queue import Queue

class 							a__:







    def __init__(				self			:  List[Any]						,      __snake_case			:  List[str]						,      __snake_case			:  Optional[Any]						,      __snake_case			:  Any						,      __snake_case			:  Any=None						,      __snake_case			:  Tuple=None     ):
      a						: List[str]					       =					start
      a						: List[Any]					       =					end
      a						: List[Any]					       =					val
      a						: Any					       =					(start + end) // 2
      a						: str					       =					left
      a						: str					       =					right







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

class 							a__:







    def __init__(				self			:  Any						,      __snake_case			:  Sequence						,      __snake_case			:  Dict     ):
      a						: str					       =					collection
      a						: List[str]					       =					function
      if self.collection:
        a						: Union[str, Any]					       =					self._build_tree(0						,      len(__snake_case     ) - 1     )







    def       lowercase_	(				self			:  List[Any]						,      __snake_case			:  List[Any]						,      __snake_case			:  Tuple     ):
      self._update_tree(self.root						,      __snake_case						,      __snake_case     )







    def       lowercase_	(				self			:  List[str]						,      __snake_case			:  Tuple						,      __snake_case			:  str     ):
      return self._query_range(self.root						,      __snake_case						,      __snake_case     )







    def       lowercase_	(				self			:  str						,      __snake_case			:  List[Any]						,      __snake_case			:  str     ):
      if start == end:
        return SegmentTreeNode(__snake_case						,      __snake_case						,      self.collection[start]     )
      a						: List[str]					       =					(start + end) // 2
      a						: Union[str, Any]					       =					self._build_tree(__snake_case						,      __snake_case     )
      a						: Dict					       =					self._build_tree(mid + 1						,      __snake_case     )
      return SegmentTreeNode(__snake_case						,      __snake_case						,      self.fn(left.val						,      right.val     )						,      __snake_case						,      __snake_case     )







    def       lowercase_	(				self			:  Union[str, Any]						,      __snake_case			:  List[Any]						,      __snake_case			:  Tuple						,      __snake_case			:  int     ):
      if node.start == i and node.end == i:
        a						: Optional[int]					       =					val
        return
      if i <= node.mid:
        self._update_tree(node.left						,      __snake_case						,      __snake_case     )
      else:
        self._update_tree(node.right						,      __snake_case						,      __snake_case     )
      a						: str					       =					self.fn(node.left.val						,      node.right.val     )







    def       lowercase_	(				self			:  Tuple						,      __snake_case			:  Optional[Any]						,      __snake_case			:  str						,      __snake_case			:  Optional[Any]     ):
      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						,      __snake_case						,      __snake_case     )
        else:
          # range in left child tree and right child tree
          return self.fn(
              self._query_range(node.left						,      __snake_case						,      node.mid     )						,      self._query_range(node.right						,      node.mid + 1						,      __snake_case     )						,      )
      else:
        # range in right child tree
        return self._query_range(node.right						,      __snake_case						,      __snake_case     )







    def       lowercase_	(				self			:  Any     ):
      if self.root is not None:
        a						: Dict					       =					Queue()
        queue.put(self.root     )
        while not queue.empty():
          a						: Union[str, Any]					       =					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('*' * 5_0)
          lowerCAmelCase: Union[str, Any]							=						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()




'''simple docstring'''






from typing import TYPE_CHECKING

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


lowerCAmelCase: Any							=						{
    'configuration_poolformer': [
        'POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'PoolFormerConfig',
        'PoolFormerOnnxConfig',
    ]
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: List[str]							=						['PoolFormerFeatureExtractor']
     lowerCAmelCase: Tuple							=						['PoolFormerImageProcessor']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase: str							=						[
         'POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'PoolFormerForImageClassification',
         'PoolFormerModel',
         'PoolFormerPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_poolformer import (
         POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         PoolFormerConfig,
         PoolFormerOnnxConfig,
     )

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_poolformer import PoolFormerFeatureExtractor
          from .image_processing_poolformer import PoolFormerImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_poolformer import (
              POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              PoolFormerForImageClassification,
              PoolFormerModel,
              PoolFormerPreTrainedModel,
          )


else:
     import sys

     lowerCAmelCase: Dict							=						_LazyModule(__name__, globals()['__file__'], _import_structure)