





'''simple docstring'''


from collections.abc import Sequence
from queue import Queue






class       UpperCamelCase__  :







 def __init__(				self			:   List[Any] , lowerCamelCase			:   int , lowerCamelCase			:   Optional[int] , lowerCamelCase			:   Any , lowerCamelCase			:   Optional[int]=None , lowerCamelCase			:   Tuple=None		):




    '''simple docstring'''
    a__     = start
    a__     = end
    a__     = val
    a__     = (start + end) // 2
    a__     = left
    a__     = right







 def __repr__(				self			:   List[Any]		):




    '''simple docstring'''
    return F'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''






class       UpperCamelCase__  :







 def __init__(				self			:   Union[str, Any] , lowerCamelCase			:   Sequence , lowerCamelCase			:   str		):




    '''simple docstring'''
    a__     = collection
    a__     = function
    if self.collection:
       a__     = self._build_tree(0 , len(lowerCamelCase		) - 1		)







 def 						__a   (				self			:   Optional[int] , lowerCamelCase			:   str , lowerCamelCase			:   Optional[Any]		):




    '''simple docstring'''
    self._update_tree(self.root , lowerCamelCase , lowerCamelCase		)







 def 						__a   (				self			:   int , lowerCamelCase			:   List[str] , lowerCamelCase			:   str		):




    '''simple docstring'''
    return self._query_range(self.root , lowerCamelCase , lowerCamelCase		)







 def 						__a   (				self			:   Optional[int] , lowerCamelCase			:   Tuple , lowerCamelCase			:   List[Any]		):




    '''simple docstring'''
    if start == end:
       return SegmentTreeNode(lowerCamelCase , lowerCamelCase , self.collection[start]		)
    a__     = (start + end) // 2
    a__     = self._build_tree(lowerCamelCase , lowerCamelCase		)
    a__     = self._build_tree(mid + 1 , lowerCamelCase		)
    return SegmentTreeNode(lowerCamelCase , lowerCamelCase , self.fn(left.val , right.val		) , lowerCamelCase , lowerCamelCase		)







 def 						__a   (				self			:   List[Any] , lowerCamelCase			:   Union[str, Any] , lowerCamelCase			:   int , lowerCamelCase			:   int		):




    '''simple docstring'''
    if node.start == i and node.end == i:
       a__     = val
       return
    if i <= node.mid:
       self._update_tree(node.left , lowerCamelCase , lowerCamelCase		)
    else:
       self._update_tree(node.right , lowerCamelCase , lowerCamelCase		)
    a__     = self.fn(node.left.val , node.right.val		)







 def 						__a   (				self			:   List[str] , lowerCamelCase			:   List[str] , lowerCamelCase			:   List[Any] , lowerCamelCase			:   Tuple		):




    '''simple docstring'''
    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 , lowerCamelCase , lowerCamelCase		)
       else:
          # range in left child tree and right child tree
          return self.fn(
              self._query_range(node.left , lowerCamelCase , node.mid		) , self._query_range(node.right , node.mid + 1 , lowerCamelCase		) , )
    else:
       # range in right child tree
       return self._query_range(node.right , lowerCamelCase , lowerCamelCase		)







 def 						__a   (				self			:   Dict		):




    '''simple docstring'''
    if self.root is not None:
       a__     = Queue()
       queue.put(self.root		)
       while not queue.empty():
          a__     = 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)
    lowerCAmelCase_   :   Tuple       =					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'''


import os
import time

import numpy as np
import onnxruntime as ort


lowerCAmelCase_   :   Optional[int]       =					"1"
lowerCAmelCase_   :   List[str]       =					"0"
lowerCAmelCase_   :   Tuple       =					"1"

lowerCAmelCase_   :   str       =					ort.SessionOptions()
lowerCAmelCase_   :   Tuple       =					ort.GraphOptimizationLevel.ORT_DISABLE_ALL
print("Create inference session...")
lowerCAmelCase_   :   Any       =					["TensorrtExecutionProvider", "CUDAExecutionProvider"]
lowerCAmelCase_   :   str       =					ort.InferenceSession("model.onnx", sess_options=sess_opt, providers=execution_provider)
lowerCAmelCase_   :   Tuple       =					ort.RunOptions()

lowerCAmelCase_   :   Optional[int]       =					128
lowerCAmelCase_   :   Union[str, Any]       =					1
lowerCAmelCase_   :   List[str]       =					np.ones((batch, sequence), dtype=np.intaa)
lowerCAmelCase_   :   Optional[Any]       =					np.ones((batch, sequence), dtype=np.intaa)
lowerCAmelCase_   :   str       =					np.ones((batch, sequence), dtype=np.intaa)

print("Warm up phase...")
sess.run(
    None,
    {
        sess.get_inputs()[0].name: input_ids,
        sess.get_inputs()[1].name: attention_mask,
        sess.get_inputs()[2].name: token_type_ids,
    },
    run_options=run_opt,
)

print("Start inference...")
lowerCAmelCase_   :   Tuple       =					time.time()
lowerCAmelCase_   :   int       =					2000
lowerCAmelCase_   :   Optional[Any]       =					{}
for iter in range(max_iters):
		lowerCAmelCase_   :   List[str]       =					sess.run(
		    None,
		    {
		        sess.get_inputs()[0].name: input_ids,
		        sess.get_inputs()[1].name: attention_mask,
		        sess.get_inputs()[2].name: token_type_ids,
		    },
		    run_options=run_opt,
		)
print("Average Inference Time = {:.3f} ms".format((time.time() - start_time) * 1000 / max_iters))



