




import doctest

import projectq
from projectq.ops import H, Measure




def       __magic_name__    (			A		: Dict       ):






			'''simple docstring'''







			a   =      quantum_engine.allocate_qubit()
			H | qubit
			Measure | qubit
			return int(A       )


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

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

		# Generate a list of 10 random numbers
		__lowerCAmelCase		:    List[str]	      =		[get_random_number(quantum_engine) for _ in range(10)]

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

		print('Random numbers', random_numbers_list)












from ..utils import DummyObject, requires_backends




class    snake_case__							(metaclass=_UpperCamelCase       ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_	:							List[str]										= ["""torch""", """transformers""", """k_diffusion"""]





				def __init__(				self    :					Optional[int] ,				*__lowerCamelCase    :					Union[str, Any] ,				**__lowerCamelCase    :					List[Any]							) ->					Optional[Any]:
							requires_backends(self ,				["torch", "transformers", "k_diffusion"]							)





				@classmethod
				def 							__UpperCAmelCase							(				cls    :					str ,				*__lowerCamelCase    :					Union[str, Any] ,				**__lowerCamelCase    :					Tuple							) ->					List[Any]:
							requires_backends(cls ,				["torch", "transformers", "k_diffusion"]							)





				@classmethod
				def 							__UpperCAmelCase							(				cls    :					Optional[Any] ,				*__lowerCamelCase    :					List[str] ,				**__lowerCamelCase    :					int							) ->					Dict:
							requires_backends(cls ,				["torch", "transformers", "k_diffusion"]							)






