def remove_dipolar_kicks(self):
temp_lattice = sixtracklib.Elements()
self.elements
sixtracklib.Drift(cbuffer=temp_lattice.cbuffer)
temp_tc_index = temp_lattice.cbuffer.n_objects
temp_tc = sixtracklib.TriCub(cbuffer=temp_lattice.cbuffer)
first_ecloud = list(self.tricubs.keys())[0]
temp_tc.length = self.tricubs[first_ecloud].length
temp_tc.x_shift = 0.
temp_tc.y_shift = 0.
temp_tc.tau_shift = 0.
temp_tc.dipolar_kick_px = 0.
temp_tc.dipolar_kick_py = 0.
temp_tc.dipolar_kick_ptau = 0.
temp_ps = particles_set = sixtracklib.ParticlesSet()
particles = particles_set.Particles(num_particles=1)
temp_part = pysixtrack.Particles(p0c=self.partCO.p0c)
temp_part.x = 0
temp_part.px = 0
temp_part.y = 0
temp_part.py = 0
temp_part.tau = 0
temp_part.ptau = 0
temp_part.state = 1
temp_part.partid = 0
temp_part.elemid = 0
temp_part.turn = 0
particles.from_pysixtrack(temp_part, 0)
temp_job = sixtracklib.TrackJob(temp_lattice, temp_ps, device=None)
temp_tricub_data_buffer_id = temp_job.add_stored_buffer(
cbuffer=self.tricub_data_buffer)
first_tricub_data = list(self.tricub_data.keys())[0]
sixtracklib.TriCub_buffer_create_assign_address_item(
temp_job, temp_tc_index, temp_tricub_data_buffer_id,
self.tricub_data_indices[first_tricub_data])
temp_job.commit_address_assignments()
temp_job.assign_all_addresses()
temp_job.track_until(1)
dipolar_kick_px = particles.px[0]
dipolar_kick_py = particles.py[0]
dipolar_kick_ptau = particles.ptau[0]
print(dipolar_kick_px, dipolar_kick_py, dipolar_kick_ptau)
#dipolar_kick_px = 0.* particles.px[0]
#dipolar_kick_py = 0.*particles.py[0]
#dipolar_kick_ptau = 0.*particles.ptau[0]
for tc in self.tricubs.keys():
tc_index = self.tricub_indices[tc]
tricub = self.job.beam_elements_buffer.get_object(tc_index)
tricub.dipolar_kick_px = dipolar_kick_px
tricub.dipolar_kick_py = dipolar_kick_py
tricub.dipolar_kick_ptau = dipolar_kick_ptau
self.job.push_beam_elements()
return
def get_sixtracklib_particle_set(init_physical_coordinates: np.ndarray,
p0c_ev: float):
n_particles = init_physical_coordinates.shape[0]
ps = sixtracklib.ParticlesSet()
p = ps.Particles(num_particles=n_particles)
for i_part in range(n_particles):
part = pysixtrack.Particles(p0c=p0c_ev)
part.x = init_physical_coordinates[i_part, 0]
part.px = init_physical_coordinates[i_part, 1]
part.y = init_physical_coordinates[i_part, 2]
part.py = init_physical_coordinates[i_part, 3]
part.tau = init_physical_coordinates[i_part, 4]
part.ptau = init_physical_coordinates[i_part, 5]
part.partid = i_part
part.state = 1
part.elemid = 0
part.turn = 0
p.from_pysixtrack(part, i_part)
return ps
plt.plot(
cub_absc,
sc_data0.values,
"ro",
z_absc,
y_exact2,
"k",
z_absc,
y_interp_cub,
"r-",
)
plt.show()
# -------------------------------------------------------------------------
# B) Init the particle set
beam = st.ParticlesSet()
particles = beam.Particles(num_particles=100, p0c=6.5e12)
# -------------------------------------------------------------------------
# C) Build the lattice. We add three interpolated space charge elements
# and keep track of the indices at which they are available
lattice = st.Elements()
sc0_index = lattice.cbuffer.n_objects # index of sc0 element
sc0 = lattice.SCInterpolatedProfile(
number_of_particles=particles.num_particles)
dr0 = lattice.Drift(length=1.0)
q0 = lattice.Multipole(knl=[0.0, 0.1])
sc1_index = lattice.cbuffer.n_objects # index of sc1 element
sc1 = lattice.SCInterpolatedProfile(
import sixtracklib
import pickle
ps = sixtracklib.ParticlesSet().fromfile('./input/sixtracklib.particles')
x = ps.particles[0].x
px = ps.particles[0].px
y = ps.particles[0].y
py = ps.particles[0].py
sigma = ps.particles[0].sigma
delta = ps.particles[0].delta
coordinates = {'x': x, 'px':px, 'y':y, 'py':py, 'sigma':sigma, 'delta':delta}
pickle.dump(coordinates, open('./input/initial_coordinates.pkl', 'wb'))
def track_particle_sixtracklib(
line, partCO, Dx_wrt_CO_m, Dpx_wrt_CO_rad,
Dy_wrt_CO_m, Dpy_wrt_CO_rad,
Dsigma_wrt_CO_m, Ddelta_wrt_CO, n_turns,
device=None):
Dx_wrt_CO_m, Dpx_wrt_CO_rad,\
Dy_wrt_CO_m, Dpy_wrt_CO_rad,\
Dsigma_wrt_CO_m, Ddelta_wrt_CO = vectorize_all_coords(
Dx_wrt_CO_m, Dpx_wrt_CO_rad,
Dy_wrt_CO_m, Dpy_wrt_CO_rad,
Dsigma_wrt_CO_m, Ddelta_wrt_CO)
import sixtracklib
elements = sixtracklib.Elements()
elements.BeamMonitor(num_stores=n_turns)
elements.append_line(line)
n_part = len(Dx_wrt_CO_m)
# Build PyST particle
ps = sixtracklib.ParticlesSet()
p = ps.Particles(num_particles=n_part)
for i_part in range(n_part):
part = partCO.copy()
part.x += Dx_wrt_CO_m[i_part]
part.px += Dpx_wrt_CO_rad[i_part]
part.y += Dy_wrt_CO_m[i_part]
part.py += Dpy_wrt_CO_rad[i_part]
part.sigma += Dsigma_wrt_CO_m[i_part]
part.delta += Ddelta_wrt_CO[i_part]
part.partid = i_part
part.state = 1
part.elemid = 0
part.turn = 0
p.from_pysixtrack(part, i_part)
if device is None:
job = sixtracklib.TrackJob(elements, ps)
else:
job = sixtracklib.TrackJob(elements, ps, device=device)
job.track_until(n_turns)
job.collect()
res = job.output
x_tbt = res.particles[0].x.reshape(n_turns, n_part)
px_tbt = res.particles[0].px.reshape(n_turns, n_part)
y_tbt = res.particles[0].y.reshape(n_turns, n_part)
py_tbt = res.particles[0].py.reshape(n_turns, n_part)
sigma_tbt = res.particles[0].sigma.reshape(n_turns, n_part)
delta_tbt = res.particles[0].delta.reshape(n_turns, n_part)
# For now data are saved at the end of the turn by STlib and at the beginning by the others
#x_tbt[1:, :] = x_tbt[:-1, :]
#px_tbt[1:, :] = px_tbt[:-1, :]
#y_tbt[1:, :] = y_tbt[:-1, :]
#py_tbt[1:, :] = py_tbt[:-1, :]
#sigma_tbt[1:, :] = sigma_tbt[:-1, :]
#delta_tbt[1:, :] = delta_tbt[:-1, :]
#x_tbt[0, :] = p.x
#px_tbt[0, :] = p.px
#y_tbt[0, :] = p.y
#py_tbt[0, :] = p.py
#sigma_tbt[0, :] = p.sigma
#delta_tbt[0, :] = p.delta
print('Done loading!')
return x_tbt, px_tbt, y_tbt, py_tbt, sigma_tbt, delta_tbt
tc = st.TriCub(cbuffer=lattice.cbuffer) elem = lattice.Drift(length=2.0) elem = lattice.LimitRect(xmin=-1.0, xmax=1.0, ymin=-1.0, ymax=1.0) tc5_index = lattice.cbuffer.n_objects # Second TriCub element: index 5 tc = st.TriCub(cbuffer=lattice.cbuffer) elem = lattice.Drift(length=0.5) elem = lattice.LimitRect(xmin=-0.5, xmax=1.5, ymin=-1.5, ymax=0.5) tc8_index = lattice.cbuffer.n_objects # Third TriCub element: index 8 tc = st.TriCub(cbuffer=lattice.cbuffer) # b) the particle set particle_sets = st.ParticlesSet() particles = particle_sets.Particles(num_particles=100) # ------------------------------------------------------------------------------ # 2) Create the track_job; currently only CPU is supported job = st.TrackJob(lattice, particle_sets) # ------------------------------------------------------------------------------ # 3) Create the data buffer for the TriCubData instances and hand it over to # the track_job for management: tricub_data_buffer = CBuffer() tc_data_0_index = tricub_data_buffer.n_objects tc_data_0 = st.TriCubData(cbuffer=tricub_data_buffer, nx=100, ny=100, nz=100)
device = 'opencl:0.0'
#device = None
n_part = 1000
seed = np.random.randint(10000)
#seed = 7489
print('Seed is %d:' % seed)
np.random.seed(seed)
lattice = st.Elements()
tc_index = lattice.cbuffer.n_objects
tc = st.TriCub(cbuffer=lattice.cbuffer)
tc.length = 1.0
particles_set = st.ParticlesSet()
particles = particles_set.Particles(num_particles=n_part)
nx = 5
ny = 7
nz = 9
A = np.random.rand(nx, ny, nz, 8) * 1.0e-3
dx = 0.001
dy = 0.002
dz = 0.003
x0 = -(nx // 2) * dx
y0 = -(ny // 2) * dy
z0 = -(nz // 2) * dz
TI = cTI.Tricubic_Interpolation(A=A,
dx=dx,
lattice.Drift(length=0.3)
lattice.Drift(length=0.4)
lattice.Drift(length=0.5)
bm1_index = lattice.cbuffer.n_objects
lattice.BeamMonitor()
lattice.Drift(length=0.3)
lattice.Drift(length=0.4)
lattice.Drift(length=0.5)
bm2_index = lattice.cbuffer.n_objects
lattice.BeamMonitor()
assert lattice.cbuffer.get_object(bm0_index).out_address == 0
assert lattice.cbuffer.get_object(bm1_index).out_address == 0
assert lattice.cbuffer.get_object(bm2_index).out_address == 0
pset = st.ParticlesSet()
pset.Particles(num_particles=100)
output_buffer = st.ParticlesSet()
out_buffer0_index = output_buffer.cbuffer.n_objects
output_buffer.Particles(num_particles=100)
out_buffer1_index = output_buffer.cbuffer.n_objects
output_buffer.Particles(num_particles=512)
job = st.TrackJob(lattice, pset)
# hand the output_buffer over to the track job:
output_buffer_id = job.add_stored_buffer(cbuffer=output_buffer)
assert output_buffer_id != st_ARCH_ILLEGAL_BUFFER_ID.value
# use the predefined lattice_buffer_id value to refer to the
def update_optics(line, eclouds_info, optics, partCO, pinch_path):
new_optics = optics.copy()
d = 1.e-10
init_part = pysixtrack.Particles(**partCO)
init_part.x += np.array([0., 1. * d, 0., 0., 0., 0., 0.])
init_part.px += np.array([0., 0., 1. * d, 0., 0., 0., 0.])
init_part.y += np.array([0., 0., 0., 1. * d, 0., 0., 0.])
init_part.py += np.array([0., 0., 0., 0., 1. * d, 0., 0.])
init_part.tau += np.array([0., 0., 0., 0., 0., 1. * d, 0.])
init_part.ptau += np.array([0., 0., 0., 0., 0., 0., 1. * d])
n_part = 7
ps = sixtracklib.ParticlesSet()
p = ps.Particles(num_particles=n_part)
for i_part in range(n_part):
part = pysixtrack.Particles(p0c=init_part.p0c)
part.x = init_part.x[i_part]
part.px = init_part.px[i_part]
part.y = init_part.y[i_part]
part.py = init_part.py[i_part]
part.tau = init_part.tau[i_part]
part.ptau = init_part.ptau[i_part]
part.partid = i_part
part.state = 1
part.elemid = 0
part.turn = 0
p.from_pysixtrack(part, i_part)
ecloud_lattice = LatticeWithEclouds(line, eclouds_info, ps, device=None)
ecloud_lattice.set_optics_CO(optics, partCO)
ecloud_lattice.add_tricub_data(pinch_path, 'dipole', max_z=0.05)
ecloud_lattice.remove_dipolar_kicks()
tricub_to_tricub_data = {}
for key in eclouds_info['length'].keys():
tricub_to_tricub_data[key] = 'dipole'
ecloud_lattice.finalize_assignments(tricub_to_tricub_data)
job = ecloud_lattice.job
job.track_until(1)
X_init = np.empty([6, 7])
X_fin = np.empty([6, 7])
X_init[0, :] = init_part.x
X_init[1, :] = init_part.px
X_init[2, :] = init_part.y
X_init[3, :] = init_part.py
X_init[4, :] = init_part.tau
X_init[5, :] = init_part.ptau
fin_part = pysixtrack.Particles(p0c=init_part.p0c)
fin_part.x = p.x.flatten()
fin_part.px = p.px.flatten()
fin_part.y = p.y.flatten()
fin_part.py = p.py.flatten()
fin_part.zeta = p.zeta.flatten()
fin_part.delta = p.delta.flatten()
X_fin[0, :] = fin_part.x
X_fin[1, :] = fin_part.px
X_fin[2, :] = fin_part.y
X_fin[3, :] = fin_part.py
X_fin[4, :] = fin_part.tau
X_fin[5, :] = fin_part.ptau
m = X_fin[:, 0] - X_init[:, 0]
M = np.empty([6, 6])
for j in range(6):
M[:, j] = (X_fin[:, j + 1] - X_fin[:, 0]) / d
Ms = normalization.healy_symplectify(M)
W, invW, R = normalization.linear_normal_form(Ms)
q1 = np.arccos(R[0, 0]) / np.pi / 2.
q2 = np.arccos(R[2, 2]) / np.pi / 2.
Qs = np.arccos(R[4, 4]) / np.pi / 2.
new_optics['W'] = W
new_optics['invW'] = invW
new_optics['R'] = R
new_optics['new_Qs'] = Qs
new_optics['new_q1'] = q1
new_optics['new_q2'] = q2
return new_optics
}, fid)
# save pysixtrack particles
particles = pysixtrack.Particles(p0c=pp.p0c,
x=partCO.x + Dx_wrt_CO,
px=partCO.px + Dpx_wrt_CO,
y=partCO.y + Dy_wrt_CO,
py=partCO.py + Dpy_wrt_CO,
sigma=partCO.sigma + Dsigma_wrt_CO,
delta=partCO.delta + Ddelta_wrt_CO)
with open(pp.input_dir + 'pysixtrack.particles', 'wb') as fid:
pickle.dump(particles, fid)
# save a sixtracklib particle set
ps = sixtracklib.ParticlesSet()
p = ps.Particles(num_particles=n_macroparticles)
part = partCO.copy()
part.x += Dx_wrt_CO
part.px += Dpx_wrt_CO
part.y += Dy_wrt_CO
part.py += Dpy_wrt_CO
part.sigma += Dsigma_wrt_CO
part.delta += Ddelta_wrt_CO
part.partid = 1
part.state = 1
part.elemid = 0
part.turn = 0
p.from_pysixtrack(part, 0) # 0 is the particle index
def track_particle_sixtracklib_firstlast(
line, partCO, Dx_wrt_CO_m, Dpx_wrt_CO_rad,
Dy_wrt_CO_m, Dpy_wrt_CO_rad,
Dsigma_wrt_CO_m, Ddelta_wrt_CO, n_turns,
device=None):
Dx_wrt_CO_m, Dpx_wrt_CO_rad,\
Dy_wrt_CO_m, Dpy_wrt_CO_rad,\
Dsigma_wrt_CO_m, Ddelta_wrt_CO = vectorize_all_coords(
Dx_wrt_CO_m, Dpx_wrt_CO_rad,
Dy_wrt_CO_m, Dpy_wrt_CO_rad,
Dsigma_wrt_CO_m, Ddelta_wrt_CO)
#if type(partCO) is pysixtrack.Particles:
# part = partCO.copy()
#else:
# part = pysixtrack.Particles(**partCO)
n_turns_to_store=1000
n_turns_tbt=1000
#skip_turns=1000
import sixtracklib
elements=sixtracklib.Elements()
#sixtracklib.append_beam_monitors_to_lattice(beam_elements_buffer=elements.cbuffer,
# until_turn_elem_by_elem=0,
# until_turn_turn_by_turn=n_turns_tbt,
# until_turn=n_turns,
# skip_turns=skip_turns
# )
elements.BeamMonitor(num_stores=n_turns_tbt,start=0,skip=1,is_rolling=False)
elements.BeamMonitor(num_stores=n_turns_to_store,start=0,skip=1,is_rolling=True)
print(elements.get_elements())
#elements.BeamMonitor(num_stores=n_turns)
#elements.BeamMonitor(num_stores=n_turns_to_store)
elements.append_line(line)
n_stores=elements.get_elements()[1].num_stores
n_part = len(Dx_wrt_CO_m)
# Build PyST particle
ps = sixtracklib.ParticlesSet()
p = ps.Particles(num_particles=n_part)
for i_part in range(n_part):
if type(partCO) is pysixtrack.Particles:
part = partCO.copy()
else:
part = pysixtrack.Particles(**partCO)
part.x += Dx_wrt_CO_m[i_part]
part.px += Dpx_wrt_CO_rad[i_part]
part.y += Dy_wrt_CO_m[i_part]
part.py += Dpy_wrt_CO_rad[i_part]
part.sigma += Dsigma_wrt_CO_m[i_part]
part.delta += Ddelta_wrt_CO[i_part]
part.partid = i_part
part.state = 1
part.elemid = 0
part.turn = 0
p.from_pysixtrack(part, i_part)
if device is None:
job = sixtracklib.TrackJob(elements, ps)
else:
job = sixtracklib.TrackJob(elements, ps, device=device)
start_tracking_time = time.time()
job.track(n_turns)
end_tracking_time = time.time()
job.collect()
end_collecting_time = time.time()
res = job.output
print(res.particles[0])
print(res.particles[1])
x_tbt_first = res.particles[0].x.reshape(n_turns_tbt,n_part)
px_tbt_first = res.particles[0].px.reshape(n_turns_tbt,n_part)
y_tbt_first = res.particles[0].y.reshape(n_turns_tbt,n_part)
py_tbt_first = res.particles[0].py.reshape(n_turns_tbt,n_part)
zeta_tbt_first = res.particles[0].zeta.reshape(n_turns_tbt,n_part)
delta_tbt_first = res.particles[0].delta.reshape(n_turns_tbt,n_part)
at_turn_tbt_first = res.particles[0].at_turn.reshape(n_turns_tbt,n_part)
state_tbt_first = res.particles[0].state.reshape(n_turns_tbt,n_part)
x_tbt_last = res.particles[1].x.reshape(n_stores,n_part)
px_tbt_last = res.particles[1].px.reshape(n_stores,n_part)
y_tbt_last = res.particles[1].y.reshape(n_stores,n_part)
py_tbt_last = res.particles[1].py.reshape(n_stores,n_part)
zeta_tbt_last = res.particles[1].zeta.reshape(n_stores,n_part)
delta_tbt_last = res.particles[1].delta.reshape(n_stores,n_part)
at_turn_tbt_last = res.particles[1].at_turn.reshape(n_stores,n_part)
state_tbt_last = res.particles[1].state.reshape(n_stores,n_part)
output_dict = {'x_tbt_first' : x_tbt_first,
'px_tbt_first' : px_tbt_first,
'y_tbt_first' : y_tbt_first,
'py_tbt_first' : py_tbt_first,
'zeta_tbt_first' : zeta_tbt_first,
'delta_tbt_first' : delta_tbt_first,
'at_turn_tbt_first' : at_turn_tbt_first,
# 'state_tbt_first' : state_tbt_first,
'x_tbt_last' : x_tbt_last,
'px_tbt_last' : px_tbt_last,
'y_tbt_last' : y_tbt_last,
'py_tbt_last' : py_tbt_last,
'zeta_tbt_last' : zeta_tbt_last,
'delta_tbt_last' : delta_tbt_last,
'at_turn_tbt_last' : at_turn_tbt_last,
# 'state_tbt_last' : state_tbt_last,
'tracking_time_mins' : (end_tracking_time - start_tracking_time)/60.,
'collecting_time_mins' : (end_collecting_time - end_tracking_time)/60.,
}
print('Done loading!')
return output_dict
if numpy_spec is not None:
import numpy as np
if __name__ == '__main__':
if not pyst.supports('cuda'):
raise SystemExit("Example requires cuda support in sixtracklib")
if pycuda_spec is None:
raise SystemExit("Example requires pycuda installation")
if numpy_spec is None:
raise SystemExit("Example requires numpy installation")
num_particles = 42
partset = pyst.ParticlesSet()
particles = partset.Particles(num_particles=num_particles)
cmp_partset = pyst.ParticlesSet()
cmp_particles = cmp_partset.Particles(num_particles=num_particles)
elements = pyst.Elements()
elements.Drift(length=1.2)
elements.Multipole(knl=[0, 0.001])
track_job = pyst.CudaTrackJob(elements, partset)
if not track_job.has_particle_addresses and \
track_job.can_fetch_particle_addresses:
track_job.fetch_particle_addresses()
min_particle_id=0,
is_rolling=False,
is_turn_ordered=False)
line.Drift(length=7.0)
line.LimitEllipse(a=0.5, b=0.35)
line.BeamMonitor(num_stores=5,
start=10,
skip=5,
out_address=0,
max_particle_id=0,
min_particle_id=0,
is_rolling=True,
is_turn_ordered=False)
NUM_PARTICLES = 100
pb = st.ParticlesSet()
pb.Particles(num_particles=100)
ptr_pb = st_Buffer_new_mapped_on_cbuffer(pb.cbuffer)
ptr_particles = st_Particles_cbuffer_get_particles(pb.cbuffer, 0)
assert ptr_particles != st_NullParticles
job = st.CudaTrackJob(line, pb)
assert job.arch_str == 'cuda'
assert job.requires_collecting
assert job.has_output_buffer
assert not job.has_elem_by_elem_output
assert job.has_beam_monitor_output
assert job.num_beam_monitors == 2
# Copy the original contents of the line, the particle buffer and the out-
def test_kicks(
cmp_file_name="precomputed_kicks.pickle",
device_str=None,
abs_tol=1e-15,
rel_tol=0.0,
):
####### load file with correct kicks #######
path_to_testdir = sttest.config.PATH_TO_TESTDATA_DIR
assert path_to_testdir is not None
assert os.path.exists(path_to_testdir)
assert os.path.isdir(path_to_testdir)
path_to_cmp_file = os.path.join(path_to_testdir, "tricub", cmp_file_name)
assert os.path.exists(path_to_cmp_file)
with open(path_to_cmp_file, "rb") as fp:
n_part, prng_seed, kicks = pickle.load(fp)
assert n_part > 0
assert prng_seed is not None
assert kicks is not None
np.random.seed(int(prng_seed))
lattice = st.Elements()
tc_index = lattice.cbuffer.n_objects
tc = st.TriCub(cbuffer=lattice.cbuffer)
tc.length = 1.0
particles_set = st.ParticlesSet()
particles = particles_set.Particles(num_particles=n_part)
nx = 5
ny = 7
nz = 9
A = np.random.rand(nx, ny, nz, 8) * 1.0e-3
dx = 0.001
dy = 0.002
dz = 0.003
x0 = -(nx // 2) * dx
y0 = -(ny // 2) * dy
z0 = -(nz // 2) * dz
test_x = x0 + (nx - 2) * dx * np.random.rand(n_part)
test_y = y0 + (ny - 2) * dy * np.random.rand(n_part)
test_z = z0 + (nz - 2) * dz * np.random.rand(n_part)
for i_part in range(n_part):
part = pysixtrack.Particles()
part.x = test_x[i_part]
part.y = test_y[i_part]
part.tau = test_z[i_part]
part.partid = i_part
part.state = 1
part.elemid = 0
part.turn = 0
particles.from_pysixtrack(part, i_part)
job = st.TrackJob(lattice, particles_set, device=device_str)
tricub_data_buffer = cobjects.CBuffer()
tc_data_index = tricub_data_buffer.n_objects
tc_data = st.TriCubData(cbuffer=tricub_data_buffer, nx=nx, ny=ny, nz=nz)
tc_data.x0 = x0
tc_data.y0 = y0
tc_data.z0 = z0
tc_data.dx = dx
tc_data.dy = dy
tc_data.dz = dz
tc_data.mirror_x = 0
tc_data.mirror_y = 0
tc_data.mirror_z = 0
scale = [1.0, dx, dy, dz, dx * dy, dx * dz, dy * dz, (dx * dy) * dz]
for ii in range(nx):
for jj in range(ny):
for kk in range(nz):
for ll in range(8):
tc_data.table_addr[ll + 8 *
(ii + nx *
(jj + ny * kk))] = (A[ii, jj, kk, ll] *
scale[ll])
tricub_data_buffer_id = job.add_stored_buffer(cbuffer=tricub_data_buffer)
st.TriCub_buffer_create_assign_address_item(job, tc_index,
tricub_data_buffer_id,
tc_data_index)
job.commit_address_assignments()
job.assign_all_addresses()
job.track_until(1)
job.collect()
assert np.allclose(kicks[:, 0], particles.px, rel_tol, abs_tol)
assert np.allclose(kicks[:, 1], particles.py, rel_tol, abs_tol)
assert np.allclose(kicks[:, 2], particles.ptau, rel_tol, abs_tol)
import cobjects
from cobjects import CBuffer, CObject
import sixtracklib as st
if __name__ == '__main__':
lattice = st.Elements()
lattice.Drift(length=1.0)
pset = st.ParticlesSet()
pset.Particles(num_particles=100)
job = st.TrackJob(lattice, pset)
assert not job.has_stored_buffers
assert job.num_stored_buffers == 0
assert job.min_stored_buffer_id == 0
assert job.max_stored_buffer_id == 0
data_buffer = st.ParticlesSet()
out_data_index = data_buffer.cbuffer.n_objects
out_data = data_buffer.Particles(num_particles=1000)
assert data_buffer.cbuffer.n_objects == 1
assert data_buffer.cbuffer.size > 0
data_buffer_id = job.add_stored_buffer(cbuffer=data_buffer)
assert data_buffer_id != st.stcommon.st_ARCH_ILLEGAL_BUFFER_ID.value
assert job.has_stored_buffers
assert job.num_stored_buffers == 1
assert job.min_stored_buffer_id == data_buffer_id
assert job.max_stored_buffer_id == data_buffer_id
st_data_buffer = job.stored_buffer(data_buffer_id)
min_particle_id=0,
is_rolling=False,
is_turn_ordered=False)
line.Drift(length=7.0)
line.LimitEllipse(a=0.5, b=0.35)
line.BeamMonitor(num_stores=5,
start=10,
skip=5,
out_address=0,
max_particle_id=0,
min_particle_id=0,
is_rolling=True,
is_turn_ordered=False)
NUM_PARTICLES = 100
pb = pyst.ParticlesSet()
pb.Particles(num_particles=100)
ptr_pb = st_Buffer_new_mapped_on_cbuffer(pb.cbuffer)
ptr_particles = st_Particles_cbuffer_get_particles(pb.cbuffer, 0)
assert ptr_particles != st_NullParticles
job = pyst.TrackJob(line, pb, 0, "opencl", "0.0")
assert job.type_str() == 'opencl'
assert job.requires_collecting
assert job.has_output_buffer
assert not job.has_elem_by_elem_output
assert job.has_beam_monitor_output
assert job.num_beam_monitors == 2
# Copy the original contents of the line, the particle buffer and the out-
