
'''simple docstring'''







from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
							from .camera import create_pan_cameras
							from .pipeline_shap_e import ShapEPipeline
							from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
							from .renderer import (
							    BoundingBoxVolume,
							    ImportanceRaySampler,
							    MLPNeRFModelOutput,
							    MLPNeRSTFModel,
							    ShapEParamsProjModel,
							    ShapERenderer,
							    StratifiedRaySampler,
							    VoidNeRFModel,
							)





'''simple docstring'''







import qiskit
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int				,				__SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					List[Any]													=	qiskit.Aer.get_backend('''aer_simulator'''							)

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

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

						# Execute the circuit on the simulator
						lowercase_     :					Union[str, Any]													=	qiskit.execute(__SCREAMING_SNAKE_CASE				,				__SCREAMING_SNAKE_CASE				,				shots=1000							)

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


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



