


from collections.abc import Sequence
from queue import Queue
class 		__magic_name__						:





     '''simple docstring'''



     def __init__(					self:str     ,		_a:List[Any]     ,		_a:Optional[Any]     ,		_a:List[Any]     ,		_a:Dict=None     ,		_a:List[Any]=None   ):
       snake_case__						= start
       snake_case__						= end
       snake_case__						= val
       snake_case__						= (start + end) // 2
       snake_case__						= left
       snake_case__						= right







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




class 		__magic_name__						:





     '''simple docstring'''



     def __init__(					self:Dict     ,		_a:Sequence     ,		_a:Dict   ):
       snake_case__						= collection
       snake_case__						= function
       if self.collection:
         snake_case__						= self._build_tree(0     ,		len(_a   ) - 1   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]     ,		_a:Optional[Any]     ,		_a:Optional[Any]   ):
       self._update_tree(self.root     ,		_a     ,		_a   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Dict     ,		_a:str     ,		_a:str   ):
       return self._query_range(self.root     ,		_a     ,		_a   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Tuple     ,		_a:str     ,		_a:List[Any]   ):
       if start == end:
         return SegmentTreeNode(_a     ,		_a     ,		self.collection[start]   )
       snake_case__						= (start + end) // 2
       snake_case__						= self._build_tree(_a     ,		_a   )
       snake_case__						= self._build_tree(mid + 1     ,		_a   )
       return SegmentTreeNode(_a     ,		_a     ,		self.fn(left.val     ,		right.val   )     ,		_a     ,		_a   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]     ,		_a:Any     ,		_a:Union[str, Any]     ,		_a:Optional[Any]   ):
       if node.start == i and node.end == i:
         snake_case__						= val
         return
       if i <= node.mid:
         self._update_tree(node.left     ,		_a     ,		_a   )
       else:
         self._update_tree(node.right     ,		_a     ,		_a   )
       snake_case__						= self.fn(node.left.val     ,		node.right.val   )

     def 	SCREAMING_SNAKE_CASE__						(					self:int     ,		_a:List[str]     ,		_a:Any     ,		_a: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     ,		_a     ,		_a   )
         else:
           # range in left child tree and right child tree
           return self.fn(
               self._query_range(node.left     ,		_a     ,		node.mid   )     ,		self._query_range(node.right     ,		node.mid + 1     ,		_a   )     ,		)
       else:
         # range in right child tree
         return self._query_range(node.right     ,		_a     ,		_a   )







     def 	SCREAMING_SNAKE_CASE__						(					self:Optional[Any]   ):
       if self.root is not None:
         snake_case__						= Queue()
         queue.put(self.root   )
         while not queue.empty():
           snake_case__						= 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__							:						int							     =   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_torch_available


lowerCAmelCase__			:      Union[str, Any]								={
    'configuration_blip_2': [
        'BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Blip2Config',
        'Blip2QFormerConfig',
        'Blip2VisionConfig',
    ],
    'processing_blip_2': ['Blip2Processor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__			:      Dict								=[
				    'BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'Blip2Model',
				    'Blip2QFormerModel',
				    'Blip2PreTrainedModel',
				    'Blip2ForConditionalGeneration',
				    'Blip2VisionModel',
				]

if TYPE_CHECKING:
				from .configuration_blip_a import (
				    BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    BlipaConfig,
				    BlipaQFormerConfig,
				    BlipaVisionConfig,
				)
				from .processing_blip_a import BlipaProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_blip_a import (
								    BLIP_2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    BlipaForConditionalGeneration,
								    BlipaModel,
								    BlipaPreTrainedModel,
								    BlipaQFormerModel,
								    BlipaVisionModel,
								)

else:
				import sys

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





