


"""simple docstring"""






from __future__ import annotations


class       lowerCamelCase_		:





				"""simple docstring"""







				def __init__(    self							,		UpperCAmelCase__ = 0  ):
								SCREAMING_SNAKE_CASE__  				=					value
								SCREAMING_SNAKE_CASE__  				=					None
								SCREAMING_SNAKE_CASE__  				=					None


def __lowercase  (   lowerCamelCase_	:   Optional[int]    ,       lowerCamelCase_	:   Dict	):
				if treea is None:
								return treea
				if treea is None:
								return treea

				SCREAMING_SNAKE_CASE__  				=					treea.value + treea.value
				SCREAMING_SNAKE_CASE__  				=					merge_two_binary_trees(treea.left    ,       treea.left	)
				SCREAMING_SNAKE_CASE__  				=					merge_two_binary_trees(treea.right    ,       treea.right	)
				return treea


def __lowercase  (   lowerCamelCase_	:   List[Any]	):
				if root:
								print(root.value	)
								print_preorder(root.left	)
								print_preorder(root.right	)


if __name__ == "__main__":
	_lowerCamelCase  =	Node(1)
	_lowerCamelCase  =	Node(2)
	_lowerCamelCase  =	Node(3)
	_lowerCamelCase  =	Node(4)

	_lowerCamelCase  =	Node(2)
	_lowerCamelCase  =	Node(4)
	_lowerCamelCase  =	Node(6)
	_lowerCamelCase  =	Node(9)
	_lowerCamelCase  =	Node(5)

	print('Tree1 is: ')
	print_preorder(treea)
	print('Tree2 is: ')
	print_preorder(treea)
	_lowerCamelCase  =	merge_two_binary_trees(treea, treea)
	print('Merged Tree is: ')
	print_preorder(merged_tree)




"""simple docstring"""
import doctest

import projectq
from projectq.ops import H, Measure







def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					int:
							snake_case_     							=		quantum_engine.allocate_qubit()
							H | qubit
							Measure | qubit
							return int(_SCREAMING_SNAKE_CASE					)


if __name__ == "__main__":
				doctest.testmod()

				# initialises a new quantum backend
				__SCREAMING_SNAKE_CASE				:     Dict		=     projectq.MainEngine()

				# Generate a list of 10 random numbers
				__SCREAMING_SNAKE_CASE				:     Optional[Any]		=     [get_random_number(quantum_engine) for _ in range(10)]

				# Flushes the quantum engine from memory
				quantum_engine.flush()

				print('Random numbers', random_numbers_list)



