def process(self):
for job in self.jobs:
job.percent_complete = min(
job.percent_complete + random.randint(0, 3), 100)
if any(job.percent_complete < 100 for job in self.jobs):
GUI.invoke_after(100, self.process)
def process(self):
for job in self.jobs:
job.percent_complete = min(
job.percent_complete + random.randint(0, 3), 100)
if any(job.percent_complete < 100 for job in self.jobs):
GUI.invoke_after(100, self.process)
def step11(self):
theoretical = np.genfromtxt(f"{TestDataPath}/Figure810BH.csv", delimiter=',')
x = theoretical[:,0]
y = theoretical[:,1]
Source = PlaneWave(Wavelength = 470e-9, Polarization = None, Amplitude = 1)
Scat = Cylinder(Diameter = 3000e-9, Source = Source, Index = 1.00+0.07j, nMedium = 1.0)
S1S2 = Scat.S1S2(Phi = x+90)
Data = ( np.abs(S1S2['S1'])**2 + np.abs(S1S2['S2'])**2 ) * ( 0.5 / (np.pi * Source.k) )**(1/4)
error = np.abs( ( Data - y ) / y )
GUI.invoke_after(PLOTTIME, Close)
plt.figure()
plt.plot( S1S2['Phi']-90, Data,'C1-', linewidth=3, label='PyMieSim' )
plt.plot( x, y,'k--', linewidth=1, label='B&H [8.10]')
plt.xlabel('Scattering angle [degree]'); plt.ylabel('Phase function')
plt.yscale('log'); plt.grid(); plt.legend(); plt.tight_layout()
plt.show()
if not np.all(error < 1):
raise
def step05(self):
theoretical = np.genfromtxt(f"{TestDataPath}/Figure87BH.csv", delimiter=',')
Diameter = np.geomspace(10e-9, 6e-6, 800)
Volume = np.pi * (Diameter/2)**2
scatSet = CylinderSet(Diameter = Diameter, Index = 1.55, nMedium = 1.)
sourceSet = SourceSet(Wavelength = 632.8e-9, Polarization = [0, 90], Amplitude = 1)
ExpSet = Setup(ScattererSet = scatSet, SourceSet = sourceSet, DetectorSet = None)
Data = ExpSet.Get(Measure.Csca).Data.squeeze()/Volume*1e-4/100
GUI.invoke_after(PLOTTIME, Close)
plt.figure()
plt.plot(Diameter, Data[0],'C0-', linewidth=3, label='PyMieSim' )
plt.plot(Diameter, Data[1],'C1-', linewidth=3, label='PyMieSim' )
plt.plot( Diameter, theoretical[0],'k--', linewidth=1, label='BH 8.8')
plt.plot( Diameter, theoretical[1],'k--', linewidth=1, label='BH 8.8')
plt.xlabel(r'Diameter [\mu m]'); plt.ylabel('Scattering cross section [Cylinder]')
plt.grid(); plt.legend(); plt.tight_layout()
plt.show()
if not np.all(np.isclose(Data,theoretical, 1e-9)):
raise
def close():
"""Close the scene."""
f = mlab.gcf()
e = mlab.get_engine()
e.window.workbench.prompt_on_exit = False
e.window.close()
mlab.options.backend = 'auto'
# Hack: on Linux the splash screen does not go away so we force it.
GUI.invoke_after(500, e.window.workbench.application.gui.stop_event_loop)
def close():
"""Close the scene."""
f = mlab.gcf()
e = mlab.get_engine()
e.window.workbench.prompt_on_exit = False
e.window.close()
mlab.options.backend = 'auto'
# Hack: on Linux the splash screen does not go away so we force it.
GUI.invoke_after(500, e.window.workbench.application.gui.stop_event_loop)
def close(self):
""" Close the dialog. """
self._closing = True
# We don't call our superclass' 'close' method immediately as there
# may be one final call to '_pulse_and_reschedule' already on the
# event queue. This makes sure that we call 'close' *after* that final
# update.
GUI.invoke_after(self.delay, super(PulseProgressDialog, self).close)
def close(self):
""" Close the dialog. """
self._closing = True
# We don't call our superclass' 'close' method immediately as there
# may be one final call to '_pulse_and_reschedule' already on the
# event queue. This makes sure that we call 'close' *after* that final
# update.
GUI.invoke_after(self.delay, super(PulseProgressDialog, self).close)
def main():
""" Entry point for standalone testing/debugging. """
from pyface.api import GUI
gui = GUI()
progress_dialog = PulseProgressDialog(title="Test", message="Doing something possibly interesting...")
progress_dialog.open()
gui.invoke_after(3000, progress_dialog.close)
gui.start_event_loop()
return
def main():
""" Entry point for standalone testing/debugging. """
from pyface.api import GUI
gui = GUI()
progress_dialog = PulseProgressDialog(
title='Test', message='Doing something possibly interesting...')
progress_dialog.open()
gui.invoke_after(3000, progress_dialog.close)
gui.start_event_loop()
return
def _anytrait_changed ( self, name, old, new ):
if name[:4] == 'var_':
name = name[4:]
if (not self._no_block_update) and (self.block is not None):
if isinstance( old, ArangeGenerator ):
old.on_trait_change( self._array_changed, 'array',
remove = True )
if isinstance( new, ArangeGenerator ):
new.on_trait_change( self._array_changed, 'array' )
new = new.array
self.context[ name ] = new
self._needs_update = True
#print "Adding update func"
def update_func():
if self._needs_update:
self._blocks[ name ].execute( self.context )
self._needs_update = False
GUI.invoke_after(10, update_func)
def step10(self):
theoretical = np.genfromtxt(f"{TestDataPath}/PyMieScattQscaCoreShellMedium.csv", delimiter=',')
Diameter = np.geomspace(10e-9, 500e-9, 400)
scatSet = CoreShellSet(CoreDiameter = Diameter, ShellDiameter = 600e-9, CoreIndex = 1.4, ShellIndex=1.5, nMedium = 1.2)
sourceSet = SourceSet(Wavelength = 600e-9, Polarization = [None], Amplitude = 1)
ExpSet = Setup(ScattererSet = scatSet, SourceSet = sourceSet, DetectorSet = None)
Data = ExpSet.Get(Measure.Qsca).Data.squeeze()
GUI.invoke_after(PLOTTIME, Close)
plt.figure()
plt.plot(Diameter, Data,'C1-', linewidth=3, label='PyMieSim' )
plt.plot( Diameter, theoretical,'k--', linewidth=1, label='PyMieScatt')
plt.xlabel(r'Diameter [\mu m]'); plt.ylabel('Scattering efficiency [CoreShell + nMedium]')
plt.grid(); plt.legend(); plt.tight_layout()
plt.show()
if not np.all(np.isclose(Data,theoretical, 1e-9)):
raise
def _anytrait_changed(self, name, old, new):
if name[:4] == 'var_':
name = name[4:]
if (not self._no_block_update) and (self.block is not None):
if isinstance(old, ArangeGenerator):
old.on_trait_change(self._array_changed,
'array',
remove=True)
if isinstance(new, ArangeGenerator):
new.on_trait_change(self._array_changed, 'array')
new = new.array
self.context[name] = new
self._needs_update = True
#print "Adding update func"
def update_func():
if self._needs_update:
self._blocks[name].execute(self.context)
self._needs_update = False
GUI.invoke_after(10, update_func)
def close(self):
""" Close progress bar window. """
GUI.invoke_after(0.1, super(PulsableProgressDialog, self).close)
sleep(0.2)
def _populate_and_process(self, event):
self.populate()
GUI.invoke_after(1000, self.process)
def step46(self):
GUI.invoke_after(PLOTTIME, Close)
self.footprint.Plot()
def step10(self):
GUI.invoke_after(PLOTTIME, Close)
self.sphere.SPF(Num=40).Plot()
def step39(self):
GUI.invoke_after(PLOTTIME, Close)
GUI.invoke_after(2*PLOTTIME, Close)
self.coreShell.FarField(40).Plot()
def step40(self):
GUI.invoke_after(PLOTTIME, Close)
self.coreShell.SPF(40).Plot()
def test_mlab_show():
"""Test mlab.show()"""
run_mlab_examples()
# Automatically close window in 100 msecs.
GUI.invoke_after(100, close)
mlab.show()
def f():
do_mlab()
# Automatically close window in 2500 msecs.
GUI.invoke_after(2500, close)
def test04(self):
GUI.invoke_after(PLOTTIME, Close)
LPmode.Plot()
print('LPmode Plotting passed')
def step08(self):
GUI.invoke_after(PLOTTIME, Close)
self.sphere.Stokes(Num=40).Plot()
def _start_fired(self):
self.populate()
GUI.invoke_after(1000, self.process)
def f():
mlab.options.backend = 'envisage'
mlab.test_contour3d()
GUI.invoke_after(3000, close)
def _new_workbench_window_created(self, event): try: GUI.invoke_after(500.0, self.mcss_ui_plugin.edit_new_mcss_experiment, event.window) # do it in the UI thread, not too fast for workbench_window to have been created and hopefully slow enough (not tested on a slow computer), but not too slow for user #@UndefinedVariable except AttributeError: pass # give up
def step07(self):
GUI.invoke_after(PLOTTIME, Close)
self.sphere.S1S2(Num=40).Plot()
def _start_fired(self):
self.populate()
GUI.invoke_after(1000, self.process)
def step38(self):
GUI.invoke_after(PLOTTIME, Close)
self.coreShell.Stokes(40).Plot()
def f():
run_mlab_examples()
# Automatically close window in 100 msecs.
GUI.invoke_after(100, close)
def test03(self):
GUI.invoke_after(PLOTTIME, Close)
Detector0.Plot()
print('Photodiode Plotting passed')
def _schedule_pulse(self):
""" Schedule a pulse for 'self.delay' milliseconds from now. """
GUI.invoke_after(self.delay, self._pulse_and_reschedule)
def f():
from mayavi.preferences.api import preference_manager
preference_manager.root.show_splash_screen = False
mlab.options.backend = 'envisage'
mlab.test_contour3d()
GUI.invoke_after(3000, close)
def f():
run_mlab_examples()
# Automatically close window in 100 msecs.
GUI.invoke_after(100, close)
def step09(self):
GUI.invoke_after(PLOTTIME, Close)
GUI.invoke_after(2*PLOTTIME, Close)
self.sphere.FarField(Num=40).Plot()
def test05(self):
GUI.invoke_after(PLOTTIME, Close)
IntegratingSphere.Plot()
print('IntegratingSphere Plotting passed')
def step37(self):
GUI.invoke_after(PLOTTIME, Close)
self.coreShell.S1S2(Num=10).Plot()
def test_mlab_show():
"""Test mlab.show()"""
do_mlab()
# Automatically close window in 2500 msecs.
GUI.invoke_after(2500, close)
mlab.show()
def test09(self):
GUI.invoke_after(PLOTTIME, Close)
sScat.S1S2(10).Plot()
print('<S1S2> Plot passed')
def test_mlab_show():
"""Test mlab.show()"""
run_mlab_examples()
# Automatically close window in 100 msecs.
GUI.invoke_after(100, close)
mlab.show()
def test05(self):
GUI.invoke_after(PLOTTIME, Close)
pymieArrayEff.Plot(y='Qsca', x='diameter')
print('PyMieSim Array Efficiencies plotting passed')
def close(self): """ Close progress bar window. """ GUI.invoke_after(0.1, super(PulsableProgressDialog, self).close) sleep(0.2)
def test06(self):
GUI.invoke_after(PLOTTIME, Close)
pymieArrayCoupling.Plot(y='Coupling', x='diameter')
print('PyMieSim Array Coupling plotting passed')
