def time_spatial_hash_nnps(pa, nbrs, num_particles):
start_time = time.time()
nn = SpatialHashNNPS([pa])
nn.set_context(0,0)
for i in range(num_particles):
nn.get_nearest_neighbours(0,0,i,nbrs)
return time.time() - start_time
def test_spatial_hash_variable_radius(self):
print ""
for key in self.dataset_variable_radius:
x, y, z, h = self.dataset_variable_radius[key]
pa = get_particle_array(x=x, y=y, z=z, h=h)
qid = randint(0,pa.get_number_of_particles()-1)
nn_bf = brute_force_neighbours(pa, pa.x[qid], pa.y[qid],
pa.z[qid], pa.h[qid])
sp = SpatialHashNNPS([pa])
nn_sp = UIntArray()
sp.set_context(0,0)
sp.get_nearest_neighbours(0,0,qid,nn_sp)
print " - " + key
assert equal(nn_bf, nn_sp)
def test_spatial_hash_large_num_cells(self):
'''
Tests SpatialHashNNPS for large number of cells.
Fails with a segmentation fault.
'''
print ""
for key in self.dataset_large_domain:
x, y, z, h = self.dataset_large_domain[key]
pa = get_particle_array(x=x, y=y, z=z, h=h)
qid = randint(0,pa.get_number_of_particles()-1)
nn_bf = brute_force_neighbours(pa, pa.x[qid], pa.y[qid],
pa.z[qid], pa.h[qid])
sp = SpatialHashNNPS([pa])
nn_sp = UIntArray()
sp.set_context(0,0)
sp.get_nearest_neighbours(0,0,qid,nn_sp)
print " - " + key
assert equal(nn_bf, nn_sp)
