

from collections.abc import Sequence
from queue import Queue







class 			lowercase    :




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




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







class 			lowercase    :




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




    def    a							( self				,       snake_case				,       snake_case	):
           self._update_tree(self.root				,       snake_case				,       snake_case	)




    def    a							( self				,       snake_case				,       snake_case	):
           return self._query_range(self.root				,       snake_case				,       snake_case	)




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




    def    a							( self				,       snake_case				,       snake_case				,       snake_case	):
           if node.start == i and node.end == i:
                  snake_case_          =   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	)
           snake_case_          =   self.fn(node.left.val				,       node.right.val	)




    def    a							( self				,       snake_case				,       snake_case				,       snake_case	):
           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    a							( self	):
           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("""*""" * 50)
          _UpperCAmelCase		:       str						    =	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		:       Dict						    =	{
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase		:       Optional[int]						    =	["""BlipImageProcessor"""]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase		:       Any						    =	[
					    """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """BlipModel""",
					    """BlipPreTrainedModel""",
					    """BlipForConditionalGeneration""",
					    """BlipForQuestionAnswering""",
					    """BlipVisionModel""",
					    """BlipTextModel""",
					    """BlipForImageTextRetrieval""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase		:       Any						    =	[
					    """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFBlipModel""",
					    """TFBlipPreTrainedModel""",
					    """TFBlipForConditionalGeneration""",
					    """TFBlipForQuestionAnswering""",
					    """TFBlipVisionModel""",
					    """TFBlipTextModel""",
					    """TFBlipForImageTextRetrieval""",
					]

if TYPE_CHECKING:
					from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
					from .processing_blip import BlipProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_blip import BlipImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blip import (
										    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlipForConditionalGeneration,
										    BlipForImageTextRetrieval,
										    BlipForQuestionAnswering,
										    BlipModel,
										    BlipPreTrainedModel,
										    BlipTextModel,
										    BlipVisionModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blip import (
										    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFBlipForConditionalGeneration,
										    TFBlipForImageTextRetrieval,
										    TFBlipForQuestionAnswering,
										    TFBlipModel,
										    TFBlipPreTrainedModel,
										    TFBlipTextModel,
										    TFBlipVisionModel,
										)

else:
					import sys

					_UpperCAmelCase		:       Optional[int]						    =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




