def do_concurrent_run(self, output):
processes = concurrent.MPIConcurrentProcesses()
processes.init()
try:
self.particles = None
processes.on_root(self.create_particles)
shared_particles = processes.share(self.particles)
shared_particles.distribute()
assert len(shared_particles) == 100 , '{0} != 100'.format(len(shared_particles))
output.value = str('success')
result = 0
except Exception as ex:
output.value = str(ex)
result = -1
return self.reduce_result(processes, result)
def do_concurrent_run(self, output):
processes = concurrent.MPIConcurrentProcesses()
processes.init()
test = TestMPIConcurrentProcesses('test1')
try:
self.particles = None
processes.on_root(self.create_particles)
shared_particles = processes.share(self.particles)
shared_particles.distribute()
test.assertEquals(len(shared_particles), 100)
test.assertAlmostRelativeEquals(shared_particles.mass.sum() , 1.0 | nbody_system.mass)
output.value = str('success')
result = 0
except Exception as ex:
print ex
output.value = str(ex)
result = -1
return self.reduce_result(processes, result)
def do_concurrent_run(self, output):
processes = concurrent.MPIConcurrentProcesses()
processes.init()
test = TestMPIConcurrentProcesses('test1')
self.particles = None
self.potential_energy = 0
try:
processes.on_root(self.create_particles)
processes.on_root(self.root_potential_energy)
self.shared_particles = processes.share(self.particles)
self.shared_particles.distribute()
processes.call(
self.distributed_potential_energy_on_root,
self.distributed_potential_energy_not_on_root,
)
output.value = str('success')
result = 0
except Exception as ex:
print ex
output.value = str(ex)
result = -1
return self.reduce_result(processes, result)
