How to use the arbor.partition_load_balance function in arbor

def get_probe(self, id):
        loc = arbor.location(0, 0) # at the soma
        return arbor.cable_probe('voltage', id, loc)

context = arbor.context(threads=4, gpu_id=None)
print(context)

meters = arbor.meter_manager()
meters.start(context)

recipe = ring_recipe(10)
print(f'{recipe}')

meters.checkpoint('recipe-create', context)

decomp = arbor.partition_load_balance(recipe, context)
print(f'{decomp}')

hint = arbor.partition_hint()
hint.prefer_gpu = True
hint.gpu_group_size = 1000
print(f'{hint}')

hints = dict([(arbor.cell_kind.cable, hint)])
decomp = arbor.partition_load_balance(recipe, context, hints)
print(f'{decomp}')

meters.checkpoint('load-balance', context)

sim = arbor.simulation(recipe, decomp, context)

meters.checkpoint('simulation-init', context)

recipe = ring_recipe(10)
print(f'{recipe}')

meters.checkpoint('recipe-create', context)

decomp = arbor.partition_load_balance(recipe, context)
print(f'{decomp}')

hint = arbor.partition_hint()
hint.prefer_gpu = True
hint.gpu_group_size = 1000
print(f'{hint}')

hints = dict([(arbor.cell_kind.cable, hint)])
decomp = arbor.partition_load_balance(recipe, context, hints)
print(f'{decomp}')

meters.checkpoint('load-balance', context)

sim = arbor.simulation(recipe, decomp, context)

meters.checkpoint('simulation-init', context)

spike_recorder = arbor.attach_spike_recorder(sim)

pid = arbor.cell_member(0,0) # cell 0, probe 0
# Attach a sampler to the voltage probe on cell 0.
# Sample rate of 1 sample every ms.
sampler = arbor.attach_sampler(sim, 1, pid)

sim.run(100)