




from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
_A     =			Lock()





def __UpperCamelCase			(       _A ,  _A ,  _A ,  _A ,  _A ,  _A ,  _A  ):
						global process_lock

						# we perform n swaps since after n swaps we know we are sorted
						# we *could* stop early if we are sorted already, but it takes as long to
						# find out we are sorted as it does to sort the list with this algorithm
						for i in range(0 ,  10  ):
												if (i + position) % 2 == 0 and r_send is not None:
																		# send your value to your right neighbor
																		process_lock.acquire()
																		r_send[1].send(_A  )
																		process_lock.release()

																		# receive your right neighbor's value
																		process_lock.acquire()
																		lowerCAmelCase_      			=  rr_cv[0].recv()
																		process_lock.release()

																		# take the lower value since you are on the left
																		lowerCAmelCase_      			=  min(_A ,  _A  )
												elif (i + position) % 2 != 0 and l_send is not None:
																		# send your value to your left neighbor
																		process_lock.acquire()
																		l_send[1].send(_A  )
																		process_lock.release()

																		# receive your left neighbor's value
																		process_lock.acquire()
																		lowerCAmelCase_      			=  lr_cv[0].recv()
																		process_lock.release()

																		# take the higher value since you are on the right
																		lowerCAmelCase_      			=  max(_A ,  _A  )
    # after all swaps are performed, send the values back to main
						result_pipe[1].send(_A  )





def __UpperCamelCase			(       _A  ):
						lowerCAmelCase_      			=  []
						lowerCAmelCase_      			=  []
						# initialize the list of pipes where the values will be retrieved
						for _ in arr:
												result_pipe.append(Pipe()  )
						# creates the processes
						# the first and last process only have one neighbor so they are made outside
						# of the loop
						lowerCAmelCase_      			=  Pipe()
						lowerCAmelCase_      			=  Pipe()
						process_array_.append(
						    Process(
						        target=_A ,  args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]) ,  )  )
						lowerCAmelCase_      			=  temp_rs
						lowerCAmelCase_      			=  temp_rr

						for i in range(1 ,  len(_A  ) - 1  ):
												lowerCAmelCase_      			=  Pipe()
												lowerCAmelCase_      			=  Pipe()
												process_array_.append(
												    Process(
												        target=_A ,  args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i]) ,  )  )
												lowerCAmelCase_      			=  temp_rs
												lowerCAmelCase_      			=  temp_rr

						process_array_.append(
						    Process(
						        target=_A ,  args=(
						            len(_A  ) - 1,
						            arr[len(_A  ) - 1],
						            temp_ls,
						            None,
						            temp_lr,
						            None,
						            result_pipe[len(_A  ) - 1],
						        ) ,  )  )

						# start the processes
						for p in process_array_:
												p.start()

						# wait for the processes to end and write their values to the list
						for p in range(0 ,  len(_A  )  ):
												lowerCAmelCase_      			=  result_pipe[p][0].recv()
												process_array_[p].join()
						return arr





def __UpperCamelCase			(       ):
						lowerCAmelCase_      			=  list(range(10 ,  0 ,  -1  )  )
						print('''Initial List'''  )
						print(*_A  )
						lowerCAmelCase_      			=  odd_even_transposition(_A  )
						print('''Sorted List\n'''  )
						print(*_A  )


if __name__ == "__main__":
						main()










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)}"
						)




