from ..utils import DummyObject, requires_backends





class 					__snake_case    (     metaclass=snake_case__      ):
					__lowerCamelCase			   =  ["""torch""", """librosa"""]




					def __init__(  self       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    str:



									'''simple docstring'''







									requires_backends(self       ,			['torch', 'librosa']						)




					@classmethod
					def      __a     (  cls       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    List[str]:



									'''simple docstring'''







									requires_backends(cls       ,			['torch', 'librosa']						)




					@classmethod
					def      __a     (  cls       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    int:



									'''simple docstring'''







									requires_backends(cls       ,			['torch', 'librosa']						)





class 					__snake_case    (     metaclass=snake_case__      ):
					__lowerCamelCase			   =  ["""torch""", """librosa"""]




					def __init__(  self       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    List[Any]:



									'''simple docstring'''







									requires_backends(self       ,			['torch', 'librosa']						)




					@classmethod
					def      __a     (  cls       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    Tuple:



									'''simple docstring'''







									requires_backends(cls       ,			['torch', 'librosa']						)




					@classmethod
					def      __a     (  cls       ,			*__UpperCamelCase       ,			**__UpperCamelCase						)	->    Dict:



									'''simple docstring'''







									requires_backends(cls       ,			['torch', 'librosa']						)






"""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)



