



'''simple docstring'''

import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp







def a_     (    )				->					Optional[Any]:





			"""simple docstring"""







			snake_case:    Optional[int]      							=ArgumentParser(
			    description=(
			        'PyTorch TPU distributed training launch '
			        'helper utility that will spawn up '
			        'multiple distributed processes'
			    )					)

			# Optional arguments for the launch helper
			parser.add_argument('--num_cores'				,							type=__UpperCAmelCase				,							default=1				,							help='Number of TPU cores to use (1 or 8).'					)

			# positional
			parser.add_argument(
			    'training_script'				,							type=__UpperCAmelCase				,							help=(
			        'The full path to the single TPU training '
			        'program/script to be launched in parallel, '
			        'followed by all the arguments for the '
			        'training script'
			    )				,							)

			# rest from the training program
			parser.add_argument('training_script_args'				,							nargs=__UpperCAmelCase					)

			return parser.parse_args()







def a_     (    )				->					int:





			"""simple docstring"""







			snake_case:    List[Any]      							=parse_args()

			# Import training_script as a module.
			snake_case:    Union[str, Any]      							=Path(args.training_script					)
			sys.path.append(str(script_fpath.parent.resolve()					)					)
			snake_case:    Union[str, Any]      							=script_fpath.stem
			snake_case:    int      							=importlib.import_module(__UpperCAmelCase					)

			# Patch sys.argv
			snake_case:    Optional[int]      							=[args.training_script] + args.training_script_args + ['--tpu_num_cores', str(args.num_cores					)]
			xmp.spawn(mod._mp_fn				,							args=()				,							nprocs=args.num_cores					)


if __name__ == "__main__":
	main()









'''simple docstring'''

import qiskit







def a_     (    __UpperCAmelCase				,							__UpperCAmelCase					)				->					qiskit.result.counts.Counts:





			"""simple docstring"""







			snake_case:    Union[str, Any]      							=qiskit.Aer.get_backend('aer_simulator'					)

			# Create a Quantum Circuit acting on the q register
			snake_case:    Dict      							=qiskit.QuantumCircuit(__UpperCAmelCase				,							__UpperCAmelCase					)

			# Map the quantum measurement to the classical bits
			circuit.measure([0]				,							[0]					)

			# Execute the circuit on the simulator
			snake_case:    Dict      							=qiskit.execute(__UpperCAmelCase				,							__UpperCAmelCase				,							shots=10_00					)

			# Return the histogram data of the results of the experiment.
			return job.result().get_counts(__UpperCAmelCase					)


if __name__ == "__main__":
	print(F"""Total count for various states are: {single_qubit_measure(1, 1)}""")




