
'''simple docstring'''







class  lowerCAmelCase__   :






					def __init__(   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Any													=       name
											lowercase_	:     List[Any]													=       value
											lowercase_	:     Tuple													=       weight






					def __repr__(   self		):


											"""simple docstring"""





											return F'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return self.value






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return self.name






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return self.weight






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return self.value / self.weight







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Union[str, Any]      ,      __SCREAMING_SNAKE_CASE					: List[str]      ,      __SCREAMING_SNAKE_CASE					: List[Any]							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       []
						for i in range(len(__SCREAMING_SNAKE_CASE							)							):
												menu.append(Things(name[i]      ,      value[i]      ,      weight[i]							)							)
						return menu
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict      ,      __SCREAMING_SNAKE_CASE					: Dict      ,      __SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						lowercase_	:     Dict													=       sorted(__SCREAMING_SNAKE_CASE      ,      key=__SCREAMING_SNAKE_CASE      ,      reverse=__SCREAMING_SNAKE_CASE							)
						lowercase_	:     int													=       []
						lowercase_						, lowercase_	:     Optional[Any]													=       0.0, 0.0
						for i in range(len(__SCREAMING_SNAKE_CASE							)							):
												if (total_cost + items_copy[i].get_weight()) <= max_cost:
																		result.append(items_copy[i]							)
																		total_cost += items_copy[i].get_weight()
																		total_value += items_copy[i].get_value()
						return (result, total_value)
def 					snake_case_		(				):



						"""simple docstring"""







if __name__ == "__main__":
							import doctest

							doctest.testmod()









import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute





def __UpperCamelCase			(       _A = 3  ):
						if isinstance(_A ,  _A  ):
												raise TypeError('''number of qubits must be a integer.'''  )
						if number_of_qubits <= 0:
												raise ValueError('''number of qubits must be > 0.'''  )
						if math.floor(_A  ) != number_of_qubits:
												raise ValueError('''number of qubits must be exact integer.'''  )
						if number_of_qubits > 10:
												raise ValueError('''number of qubits too large to simulate(>10).'''  )

						lowerCAmelCase_      			=  QuantumRegister(_A ,  '''qr'''  )
						lowerCAmelCase_      			=  ClassicalRegister(_A ,  '''cr'''  )

						lowerCAmelCase_      			=  QuantumCircuit(_A ,  _A  )

						lowerCAmelCase_      			=  number_of_qubits

						for i in range(_A  ):
												quantum_circuit.h(number_of_qubits - i - 1  )
												counter -= 1
												for j in range(_A  ):
																		quantum_circuit.cp(np.pi / 2 ** (counter - j) ,  _A ,  _A  )

						for k in range(number_of_qubits // 2  ):
												quantum_circuit.swap(_A ,  number_of_qubits - k - 1  )

						# measure all the qubits
						quantum_circuit.measure(_A ,  _A  )
						# simulate with 10000 shots
						lowerCAmelCase_      			=  Aer.get_backend('''qasm_simulator'''  )
						lowerCAmelCase_      			=  execute(_A ,  _A ,  shots=10000  )

						return job.result().get_counts(_A  )


if __name__ == "__main__":
						print(
						    f"Total count for quantum fourier transform state is: \
    {quantum_fourier_transform(3)}"
						)




