


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()




'''simple docstring'''



from typing import TYPE_CHECKING

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


_UpperCamelCase						:  Optional[int]							       =				{
    "configuration_vision_text_dual_encoder": ["VisionTextDualEncoderConfig"],
    "processing_vision_text_dual_encoder": ["VisionTextDualEncoderProcessor"],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase						:  Dict							       =				["VisionTextDualEncoderModel"]


try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase						:  int							       =				["FlaxVisionTextDualEncoderModel"]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase						:  Tuple							       =				["TFVisionTextDualEncoderModel"]


if TYPE_CHECKING:
     from .configuration_vision_text_dual_encoder import VisionTextDualEncoderConfig
     from .processing_vision_text_dual_encoder import VisionTextDualEncoderProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_vision_text_dual_encoder import VisionTextDualEncoderModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_vision_text_dual_encoder import FlaxVisionTextDualEncoderModel

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_vision_text_dual_encoder import TFVisionTextDualEncoderModel


else:
     import sys

     _UpperCamelCase						:  Optional[int]							       =				_LazyModule(__name__, globals()["__file__"], _import_structure)





