Fri 29 Nov 2024 04:30:50 PM CET
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394
src/SimNDT/run_setup/engineController.py
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394
src/SimNDT/run_setup/engineController.py
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__author__ = 'Miguel Molero'
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import time, sys
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import numpy as np
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# from PySide.QtCore import *
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from SimNDT.engine.efit2d import EFIT2D
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from SimNDT.core.signal import Signals
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class EngineController():
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def __init__(self, simPack, SimNDT_SnapShots, GL= False, IsReceiverPlot = False, statusBarWidget=None, parent= None):
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self.simPack = simPack
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self.SimNDT_SnapShots= SimNDT_SnapShots
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self.GL = GL
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self.IsReceiverPlot = IsReceiverPlot
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self.statusBarWidget = statusBarWidget
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self.parent = parent
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Platform = self.simPack.Simulation.Platform
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if Platform is not "Serial":
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Platform = "OpenCL"
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self.Platform = Platform
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def run(self):
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self.TimeSteps = self.simPack.Simulation.TimeSteps
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Name = self.simPack.Inspection.Name
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if Name == "Transmission" or Name == "PulseEcho":
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state = self._run_SingleLaunch()
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return state
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elif Name == "LinearScan":
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state = self._run_LinearScan()
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return state
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elif Name == "Tomography":
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state = self._run_Tomography()
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return state
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else:
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raise ValueError('EngineController.run: Unsupported Inpsection method '+Name)
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def _chooseModel(self):
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self.SimNDT_FD = EFIT2D(self.simPack, self.Platform)
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try:
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self.SimNDT_FD.setup_CL()
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except Exception as e:
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ValueError("EngineController._chooseModel Error "+str(e))
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sys.exit()
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def getReceivers(self):
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return self.receiver_signals
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def _run_SingleLaunch(self):
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self.Times = 1.0
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self.n = 0
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self._chooseModel()
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start = time.time()
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state = self._process()
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# self.SimNDT_FD.saveOutput()
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print ("Elapsed Time: ", time.time() -start)
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self.receiver_signals = self.SimNDT_FD.receiver_signals.copy()
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return state
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def _run_LinearScan(self):
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self.Times = np.size(self.simPack.Inspection.ScanVector)
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lscan = np.zeros((int(self.TimeSteps),int(self.Times))).astype(np.float32)
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n=0
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self.n = 0
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self.statusBarWidget.labelInspectionStatusBar.setText("#Inspection: %d - %d "%(n,self.Times))
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self.statusBarWidget.labelInspectionStatusBar.show()
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QCoreApplication.processEvents()
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start = time.time()
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for idx, offset in enumerate(self.simPack.Inspection.ScanVector):
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self.simPack.Transducers[0].CenterOffset = offset
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self.simPack.Inspection.setInspection( self.simPack.Scenario,
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self.simPack.Transducers[0],
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self.simPack.Simulation)
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self._chooseModel()
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state = self._process(idx)
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self.SimNDT_FD.saveOutput()
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lscan[:,n] = self.SimNDT_FD.receiver_signals.copy()[:,0]
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n+=1
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self.statusBarWidget.labelInspectionStatusBar.setText("#Inspection: %d - %d "%(n,self.Times))
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QCoreApplication.processEvents()
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if state == "Stop":
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break
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print ("Elapsed Time: ", time.time() -start)
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self.receiver_signals = lscan.copy()
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return state
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def _run_Tomography(self):
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Ntheta = np.size(self.simPack.Inspection.Theta)
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Ntheta1 = Ntheta-1
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if self.simPack.Inspection.OneProjection:
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self.n = 0
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self.Times = 1.0
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self.receiver_signals = np.zeros((self.TimeSteps, Ntheta1 ), dtype=np.float32 )
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self._chooseModel()
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state = self._process()
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self.receiver_signals[:,:] = self.SimNDT_FD.receiver_signals.copy()[:,:]
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else:
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self.n = 0
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n = 0
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self.Times = Ntheta
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self.statusBarWidget.labelInspectionStatusBar.setText("#Inspection: %d - %d "%(n,self.Times))
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self.statusBarWidget.labelInspectionStatusBar.show()
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# QCoreApplication.processEvents()
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self.receiver_signals = np.zeros((int(self.TimeSteps), int(Ntheta1), int(Ntheta)), dtype=np.float32 )
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for idx, theta in enumerate(self.simPack.Inspection.Theta):
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self.simPack.Simulation.rotate_model(theta,self.simPack.Scenario)
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self._chooseModel()
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state = self._process(idx)
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self.receiver_signals[:,:, n] = self.SimNDT_FD.receiver_signals.copy()[:,:]
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n +=1
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self.statusBarWidget.labelInspectionStatusBar.setText("#Inspection: %d - %d "%(n,self.Times))
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# QCoreApplication.processEvents()
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if state == "Stop":
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break
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return state
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def _process(self, idx = None):
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if self.Platform == "OpenCL":
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if self.GL:
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state = self._runGL(idx)
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return state
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else:
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state = self._run(idx)
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return state
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elif self.Platform == "Serial":
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if self.GL:
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state = self._runGLSerial(idx)
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return state
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else:
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state = self._runSerial(idx)
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return state
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# @blab+
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def saveOptions(self, step, idx, n):
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if self.SimNDT_SnapShots.IsEnable:
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if (self.SimNDT_FD.n % self.SimNDT_SnapShots.Step == 0):
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value = (self.n / float(self.TimeSteps * self.Times)) * 100
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print("["+str(n)+"/"+str(int(self.TimeSteps))+"] Saving output @"+str(value))
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if not self.SimNDT_SnapShots.enableView and not self.SimNDT_SnapShots.enableImages:
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self.SimNDT_FD.runGL()
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if self.SimNDT_SnapShots.enableImages:
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self.save_fig(idx)
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if self.SimNDT_SnapShots.enableSignals:
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# @blab+ Need to enqeue the CL buffers
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# self.Field=indexof["Vx","Vy","[Vx,Vy]","Txx","Txy","Tyy","[Txx:Txy:Tyy]","Dx","Dy","[Dx,Dy]","SV"]
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if self.SimNDT_SnapShots.Field == 0:
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Vx, self.SimNDT_FD.Vx_buf)
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D = self.SimNDT_FD.Vx
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Label = 'Vx'
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elif self.SimNDT_SnapShots.Field == 1:
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Vy, self.SimNDT_FD.Vy_buf)
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D = self.SimNDT_FD.Vy
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Label = 'Vy'
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elif self.SimNDT_SnapShots.Field == 3:
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Txx, self.SimNDT_FD.Txx_buf)
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D = self.SimNDT_FD.Txx
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Label = 'Txx'
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elif self.SimNDT_SnapShots.Field == 4:
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Txy, self.SimNDT_FD.Txy_buf)
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D = self.SimNDT_FD.Txy
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Label = 'Txy'
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elif self.SimNDT_SnapShots.Field == 5:
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Tyy, self.SimNDT_FD.Tyy_buf)
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D = self.SimNDT_FD.Tyy
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Label = 'Tyy'
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else:
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raise ValueError('SnapShots.save_signal: Unsupported field selector')
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self.SimNDT_SnapShots.save_signal(D, self.SimNDT_FD.n, Label)
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if self.SimNDT_SnapShots.enableFields:
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# TODO self.SimNDT_SnapShots.Field=
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Vx, self.SimNDT_FD.Vx_buf)
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self.SimNDT_FD.clEnqueue(self.SimNDT_FD.Vy, self.SimNDT_FD.Vy_buf)
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self.SimNDT_SnapShots.save_fields(self.SimNDT_FD.Vx, self.SimNDT_FD.Vy, self.SimNDT_FD.n)
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else:
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# Nothing to save; dry run
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if (self.SimNDT_FD.n % step == 0):
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value = (self.n / float(self.TimeSteps * self.Times)) * 100
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print("["+str(n)+"/"+str(int(self.TimeSteps))+"] Saving output @"+str(value))
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def _run(self, idx):
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step = 50
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while (self.SimNDT_FD.n < self.TimeSteps):
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# if self.parent.StopSimulation:
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# return "Stop"
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# if self.parent.PauseSimulation:
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# while True:
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# if self.parent.StopSimulation:
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# return "Stop"
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# if not self.parent.PauseSimulation:
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# break
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# QCoreApplication.processEvents()
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self.SimNDT_FD.run()
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self.SimNDT_FD.n +=1
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self.n +=1
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self.saveOptions(step, idx, self.n)
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if self.SimNDT_SnapShots.enableVolume:
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self.SimNDT_SnapShots.save_vol()
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def _runSerial(self, idx):
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step = 10
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while (self.SimNDT_FD.n < self.TimeSteps):
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#if self.parent.StopSimulation:
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# return "Stop"
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#if self.parent.PauseSimulation:
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# while True:
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# if self.parent.StopSimulation:
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# return "Stop"
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# if not self.parent.PauseSimulation:
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# break
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# QCoreApplication.processEvents()
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self.SimNDT_FD.runSerial()
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self.SimNDT_FD.n +=1
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self.n +=1
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self.saveOptions(step, idx)
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if self.SimNDT_SnapShots.enableVolume:
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self.SimNDT_SnapShots.save_vol()
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def _runGL(self, idx):
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DB = self.parent.SimNDT_SnapShots.DB
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self.parent.GraphicView.setImage(np.float32(self.SimNDT_FD.SV), DB)
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step = 50
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if self.IsReceiverPlot:
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SimulationTime = self.parent.SimNDT_Simulation.SimulationTime
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sig = self.SimNDT_FD.receiver_signals
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self.plot = PlotInline()
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self.plot.init(sig, SimulationTime)
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self.plot.show()
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while (self.SimNDT_FD.n < self.TimeSteps):
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if self.parent.StopSimulation:
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return "Stop"
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if self.parent.PauseSimulation:
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while True:
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if self.parent.StopSimulation:
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return "Stop"
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if not self.parent.PauseSimulation:
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break
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QCoreApplication.processEvents()
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self.SimNDT_FD.run()
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self.SimNDT_FD.n+=1
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self.n +=1
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if (self.SimNDT_FD.n % step==0):
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self.SimNDT_FD.runGL()
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# self.parent.GraphicView.updateWithImage(self.SimNDT_FD.SV, self.SimNDT_FD.n*self.SimNDT_FD.dt*1e6)
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if self.IsReceiverPlot:
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self.SimNDT_FD.saveOutput()
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sig = self.SimNDT_FD.receiver_signals[self.SimNDT_FD.n-1,0]
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self.plot.update(sig)
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elif self.IsReceiverPlot:
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self.SimNDT_FD.saveOutput()
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sig = self.SimNDT_FD.receiver_signals[self.SimNDT_FD.n-1,0]
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self.plot.data.append(sig)
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self.saveOptions(step, idx)
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if self.SimNDT_SnapShots.enableVolume:
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self.SimNDT_SnapShots.save_vol()
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def _runGLSerial(self, idx):
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DB = self.parent.SimNDT_SnapShots.DB
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self.parent.GraphicView.setImage(np.float32(self.SimNDT_FD.SV), DB)
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step = 10
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if self.IsReceiverPlot:
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SimulationTime = self.parent.SimNDT_Simulation.SimulationTime
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sig = self.SimNDT_FD.receiver_signals
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self.plot = PlotInline()
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self.plot.init(sig, SimulationTime)
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self.plot.show()
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while (self.SimNDT_FD.n < self.TimeSteps):
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# if self.parent.StopSimulation:
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# return "Stop"
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# if self.parent.PauseSimulation:
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# while True:
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# if self.parent.StopSimulation:
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# return "Stop"
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# if not self.parent.PauseSimulation:
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# break
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# QCoreApplication.processEvents()
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self.SimNDT_FD.runSerial()
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self.SimNDT_FD.n+=1
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self.n +=1
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if (self.SimNDT_FD.n % step==0):
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self.SimNDT_FD.runGLSerial()
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# self.parent.GraphicView.updateWithImage(self.SimNDT_FD.SV,self.SimNDT_FD.n*self.SimNDT_FD.dt*1e6)
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if self.IsReceiverPlot:
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sig = self.SimNDT_FD.receiver_signals[self.SimNDT_FD.n-1,0]
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# self.plot.update(sig)
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elif self.IsReceiverPlot:
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sig = self.SimNDT_FD.receiver_signals[self.SimNDT_FD.n-1,0]
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self.plot.data.append(sig)
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self.saveOptions(step, idx)
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if self.SimNDT_SnapShots.enableVolume:
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self.SimNDT_SnapShots.save_vol()
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def save_fig(self, idx = None):
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if self.Platform == "OpenCL":
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self.SimNDT_FD.runGL()
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elif self.Platform == "Serial":
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self.SimNDT_FD.runGLSerial()
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self.parent.SimNDT_SnapShots.save_fig(self.SimNDT_FD.SV, self.SimNDT_FD.n, idx)
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