





'''simple docstring'''


import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_lowerCamelCase :		Dict 			=				logging.get_logger(__name__)



class 							__UpperCAmelCase     :







		'''simple docstring'''







		__lowerCAmelCase        =			None






@experimental
def       __a       (   UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase			)					->Optional[int]:



	"""simple docstring"""







	if ParallelBackendConfig.backend_name is None:
		return _map_with_multiprocessing_pool(
		    UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase			)

	return _map_with_joblib(UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase			)




def       __a       (   UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase			)					->Optional[int]:



	"""simple docstring"""







	A							     =					num_proc if num_proc <= len(UpperCAmelCase			) else len(UpperCAmelCase			)
	A							     =					[]  # We organize the splits ourselve (contiguous splits)
	for index in range(UpperCAmelCase			):
		A							     =					len(UpperCAmelCase			) // num_proc
		A							     =					len(UpperCAmelCase			) % num_proc
		A							     =					div * index + min(UpperCAmelCase				,	UpperCAmelCase			)
		A							     =					start + div + (1 if index < mod else 0)
		split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)			)

	if len(UpperCAmelCase			) != sum(len(i[1]			) for i in split_kwds			):
		raise ValueError(
		    f"""Error dividing inputs iterable among processes. """
		    f"""Total number of objects {len(UpperCAmelCase			)}, """
		    f"""length: {sum(len(i[1]			) for i in split_kwds			)}"""			)

	logger.info(
	    f"""Spawning {num_proc} processes for {len(UpperCAmelCase			)} objects in slices of {[len(i[1]			) for i in split_kwds]}"""			)
	A							     =					None, None
	if not disable_tqdm:
		A							     =					(RLock(),), tqdm.set_lock
	with Pool(UpperCAmelCase				,	initargs=UpperCAmelCase				,	initializer=UpperCAmelCase			) as pool:
		A							     =					pool.map(UpperCAmelCase				,	UpperCAmelCase			)
	logger.info(f"""Finished {num_proc} processes"""			)
	A							     =					[obj for proc_res in mapped for obj in proc_res]
	logger.info(f"""Unpacked {len(UpperCAmelCase			)} objects"""			)

	return mapped




def       __a       (   UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase				,	UpperCAmelCase			)					->Union[str, Any]:



	"""simple docstring"""







	import joblib

	with joblib.parallel_backend(ParallelBackendConfig.backend_name				,	n_jobs=UpperCAmelCase			):
		return joblib.Parallel()(
		    joblib.delayed(UpperCAmelCase			)((function, obj, types, None, True, None)			) for obj in iterable			)




@experimental
@contextlib.contextmanager
def       __a       (   UpperCAmelCase			)					->List[Any]:



	"""simple docstring"""







	A							     =					backend_name

	if backend_name == "spark":
		from joblibspark import register_spark

		register_spark()

		# TODO: call create_cache_and_write_probe if "download" in steps
		# TODO: raise NotImplementedError when Dataset.map etc is called

	try:
		yield
	finally:
		A							     =					None









import math

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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int = 3					)		->			qiskit.result.counts.Counts:






	"""simple docstring"""



	if isinstance(__magic_name__	,			__magic_name__					):
		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(__magic_name__					) != 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)."""					)

	UpperCamelCase     :int          =	QuantumRegister(__magic_name__	,			"""qr"""					)
	UpperCamelCase     :str          =	ClassicalRegister(__magic_name__	,			"""cr"""					)

	UpperCamelCase     :str          =	QuantumCircuit(__magic_name__	,			__magic_name__					)

	UpperCamelCase     :List[Any]          =	number_of_qubits

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

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

	# measure all the qubits
	quantum_circuit.measure(__magic_name__	,			__magic_name__					)
	# simulate with 10000 shots
	UpperCamelCase     :str          =	Aer.get_backend("""qasm_simulator"""					)
	UpperCamelCase     :Dict          =	execute(__magic_name__	,			__magic_name__	,			shots=1_0000					)

	return job.result().get_counts(__magic_name__					)


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