def notify(title, run_time=None):#{{{
"""
Shows a bubble with notification that your results are about to be ready!
Requires python-notify installed, otherwise just quits
Note: you may also use similar call with libnotify-bin from your bash scripts:
run_bash('notify-send -t 3000 -i "face-glasses" "MEEP simulation finished %s" "%s"' % (timestring, title))
"""
if meep.my_rank() != 0: return
try:
if run_time: timestring = "in %d s" % int(run_time)
else: timestring = ""
import pynotify
pynotify.init("image")
n = pynotify.Notification("MEEP simulation finished %s" % (timestring), title, "face-glasses")
n.show()
except:
pass
f.step(); timer = meep_utils.Timer(simtime=model.simtime); meep.quiet(True) # use custom progress messages
while (f.time()/c < model.simtime): # timestepping cycle
f.step()
timer.print_progress(f.time()/c)
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
f.solve_cw(getattr(model, 'MaxTol',0.001), getattr(model, 'MaxIter', 5000), getattr(model, 'BiCGStab', 8))
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
#t = monitor1_Ex.get_time()
#Ex1, Hy1, Ex2, Hy2 = [mon.get_field_waveform() for mon in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy)]
freq, s11, s12, columnheaderstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=True if getattr(model, 'frequency', None) else False,
frequency=getattr(model, 'frequency', None), ## procedure compatible with both FDTD and FDFD
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]), ## clip the frequency range for plotting
pad_zeros=1.0, ## speed-up FFT, and stabilize eff-param retrieval
Kx=getattr(model, 'Kx', 0), Ky=getattr(model, 'Ky', 0), ## enable oblique incidence (works only if monitors in vacuum)
eps1=getattr(model, 'mon1eps', 1), eps2=getattr(model, 'mon2eps', 1)) ## enable monitors inside dielectrics
print "EVERYTHING OK"
meep_utils.savetxt(fname=model.simulation_name+".dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)), ## Save 5 columns: freq, amplitude/phase for reflection/transmission
header=model.parameterstring+columnheaderstring) ## Export header
f.step(); timer = meep_utils.Timer(simtime=model.simtime); meep.quiet(True) # use custom progress messages
while (f.time()/c < model.simtime): # timestepping cycle
f.step()
timer.print_progress(f.time()/c)
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
f.solve_cw(getattr(model, 'MaxTol',0.001), getattr(model, 'MaxIter', 5000), getattr(model, 'BiCGStab', 8))
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
#t = monitor1_Ex.get_time()
#Ex1, Hy1, Ex2, Hy2 = [mon.get_field_waveform() for mon in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy)]
freq, s11, s12, columnheaderstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=True if getattr(model, 'frequency', None) else False,
frequency=getattr(model, 'frequency', None), ## procedure compatible with both FDTD and FDFD
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]), ## clip the frequency range for plotting
pad_zeros=1.0, ## speed-up FFT, and stabilize eff-param retrieval
Kx=getattr(model, 'Kx', 0), Ky=getattr(model, 'Ky', 0), ## enable oblique incidence (works only if monitors in vacuum)
eps1=getattr(model, 'mon1eps', 1), eps2=getattr(model, 'mon2eps', 1)) ## enable monitors inside dielectrics
print "EVERYTHING OK"
meep_utils.savetxt(fname=model.simulation_name+".dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)), ## Save 5 columns: freq, amplitude/phase for reflection/transmission
header=model.parameterstring+columnheaderstring) ## Export header
def run_bash(cmd, anyprocess=False): #{{{
if meep.my_rank() == 0 or anyprocess:
#meep.master_printf("CMD: " + cmd+ "\n")
p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE)
out = p.stdout.read().strip()
return out
field.get_field(meep.Ey, monitor_point) +
field.get_field(meep.Ez, monitor_point))
for slice_maker in slice_makers:
slice_maker.poll(field.time() / c)
for slice_maker in slice_makers:
slice_maker.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
field.step()
field.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'],
sim_param['BiCGStab'])
for slice_maker in slice_makers:
slice_maker.finalize()
meep_utils.notify(model.simulation_name)
# Get the reflection and transmission of the structure
if meep.my_rank() == 0 and not sim_param['frequency_domain']:
## Convert to polar notation and save the time-domain record
x, y = np.array(x), np.array(y)
meep_utils.savetxt(fname=model.simulation_name + "_timedomain.dat",
X=zip(x, np.abs(y), meep_utils.get_phase(y)),
fmt="%.6e",
header=model.parameterstring +
meep_utils.sim_param_string(sim_param) +
"#x-column time [s]\n#column ampli\n#column phase\n")
with open("./last_simulation_name.dat", "w") as outfile:
outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
print sim_param['MaxIter']
f.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'],
sim_param['BiCGStab'])
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy):
monitor.record(field=f)
snapshot_maker.take_snapshot(0)
meep_utils.notify(model.simulation_name)
with open("./last_simulation_name.txt", "w") as outfile:
outfile.write(model.simulation_name)
meep.master_printf("=== Processing recorded fields ===\n")
## Get the reflection and transmission of the structure
meep.master_printf(" getting s-params\n")
import time
if meep.my_rank() == 0:
time1 = time.time()
freq, s11, s12 = meep_utils.get_s_parameters(
monitor1_Ex,
monitor1_Hy,
monitor2_Ex,
monitor2_Hy,
frequency_domain=sim_param['frequency_domain'],
frequency=sim_param['frequency'],
maxf=model.srcFreq + model.srcWidth,
pad_zeros=1.0,
Kx=model.Kx,
Ky=model.Ky)
#side_wavenumber=2*pi*modenumber*1/model.size_y)
print "S-parameter retrieval (FFT etc.) took", time.time() - time1, "s"
#meep.master_printf(" saving\n")
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else:
f.step()
print sim_param['MaxIter']
f.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'], sim_param['BiCGStab'])
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
snapshot_maker.take_snapshot(0)
meep_utils.notify(model.simulation_name)
with open("./last_simulation_name.txt", "w") as outfile: outfile.write(model.simulation_name)
meep.master_printf("=== Processing recorded fields ===\n")
## Get the reflection and transmission of the structure
meep.master_printf(" getting s-params\n")
import time
if meep.my_rank() == 0:
time1 = time.time()
freq, s11, s12 = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=sim_param['frequency_domain'],
frequency=sim_param['frequency'],
maxf=model.srcFreq+model.srcWidth,
pad_zeros=1.0,
Kx=model.Kx,
Ky=model.Ky)
#side_wavenumber=2*pi*modenumber*1/model.size_y)
print "S-parameter retrieval (FFT etc.) took", time.time()-time1, "s"
#meep.master_printf(" saving\n")
meep_utils.savetxt(freq=freq, s11=s11, s12=s12, model=model)
import effparam
#meep.master_printf(" done.\n")
dt = (field.time()/c)
meep_utils.lorentzian_unstable_check_new(model, dt, quit_on_warning=False)
timer = meep_utils.Timer(simtime=model.simtime); meep.quiet(True) # use custom progress messages
monitor_point = meep.vec(-model.radius*.5, model.radius*.3, model.height*.3)
x,y = [], []
while (field.time()/c < model.simtime): # timestepping cycle
field.step()
timer.print_progress(field.time()/c)
if field.time()/c > 30/model.src_width:
x.append(field.time()/c);
y.append(field.get_field(meep.Ex, monitor_point)+field.get_field(meep.Ey, monitor_point)+field.get_field(meep.Ez, monitor_point))
for slice_maker in slice_makers: slice_maker.poll(field.time()/c)
for slice_maker in slice_makers: slice_maker.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
field.step()
field.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'], sim_param['BiCGStab'])
for slice_maker in slice_makers: slice_maker.finalize()
meep_utils.notify(model.simulation_name)
# Get the reflection and transmission of the structure
if meep.my_rank() == 0 and not sim_param['frequency_domain']:
## Convert to polar notation and save the time-domain record
x, y = np.array(x), np.array(y)
meep_utils.savetxt(fname=model.simulation_name+"_timedomain.dat", X=zip(x, np.abs(y), meep_utils.get_phase(y)), fmt="%.6e",
header=model.parameterstring + meep_utils.sim_param_string(sim_param) + "#x-column time [s]\n#column ampli\n#column phase\n")
with open("./last_simulation_name.dat", "w") as outfile: outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
