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synced 2025-11-28 03:28:01 +00:00
SUBMODULE: catalyst function object
- now uses current OpenFOAM code level - added initial catalyst script for insitu processing of overset
This commit is contained in:
@ -86,7 +86,7 @@ cleanCase()
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rm -rf surfaceSampling > /dev/null 2>&1
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rm -rf cuttingPlane > /dev/null 2>&1
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rm -rf system/machines > /dev/null 2>&1
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rm -rf Ensight EnSight ensightWrite VTK > /dev/null 2>&1
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rm -rf Ensight EnSight ensightWrite insitu VTK > /dev/null 2>&1
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# From mpirunDebug
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rm -f gdbCommands mpirun.schema
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Submodule modules/catalyst updated: fe7832cf63...3c0a2e7959
@ -0,0 +1,23 @@
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// ParaView Catalyst function object for OpenFOAM (-*- C++ -*-)
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functions
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{
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catalyst
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{
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#includeEtc "caseDicts/postProcessing/catalyst/default.cfg"
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mkdir "<case>/insitu";
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// Selected fields (words or regex). Must have cellMask for overset!
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fields ( cellMask U p );
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scripts
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(
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"<system>/scripts/overset.py"
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"<system>/scripts/writeOverset.py"
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);
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}
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}
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// ************************************************************************* //
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@ -50,4 +50,6 @@ adjustTimeStep yes;
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maxCo 1;
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// #include "catalyst"
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// ************************************************************************* //
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@ -0,0 +1,207 @@
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from paraview.simple import *
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from paraview import coprocessing
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#--------------------------------------------------------------
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# Code generated from cpstate.py to create the CoProcessor.
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# paraview version 5.5.0
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#--------------------------------------------------------------
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# Global screenshot output options
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imageFileNamePadding=4
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rescale_lookuptable=False
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# ----------------------- CoProcessor definition -----------------------
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def CreateCoProcessor():
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def _CreatePipeline(coprocessor, datadescription):
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class Pipeline:
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# ----------------------------------------------------------------
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# setup views used in the visualization
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# ----------------------------------------------------------------
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# trace generated using paraview version 5.5.0
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#### disable automatic camera reset on 'Show'
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paraview.simple._DisableFirstRenderCameraReset()
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# Create a new 'Render View'
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renderView1 = CreateView('RenderView')
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renderView1.ViewSize = [1077, 763]
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renderView1.AxesGrid = 'GridAxes3DActor'
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renderView1.CenterOfRotation = [0.00784385809674859, 0.005000000004656613, 0.004999999888241291]
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renderView1.StereoType = 0
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renderView1.CameraPosition = [0.0072242101003740155, 0.0002877833685303474, 0.035060283710920806]
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renderView1.CameraFocalPoint = [0.00868966107678934, 0.004150999005211765, 0.0049322758242629034]
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renderView1.CameraViewUp = [0.3542102656908786, 0.9252429122682538, 0.135869941401907]
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renderView1.CameraParallelScale = 0.00787069031419879
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renderView1.CameraParallelProjection = 1
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renderView1.Background = [0.32, 0.34, 0.43]
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# init the 'GridAxes3DActor' selected for 'AxesGrid'
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renderView1.AxesGrid.XTitleFontFile = ''
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renderView1.AxesGrid.YTitleFontFile = ''
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renderView1.AxesGrid.ZTitleFontFile = ''
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renderView1.AxesGrid.XLabelFontFile = ''
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renderView1.AxesGrid.YLabelFontFile = ''
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renderView1.AxesGrid.ZLabelFontFile = ''
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# register the view with coprocessor
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# and provide it with information such as the filename to use,
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# how frequently to write the images, etc.
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coprocessor.RegisterView(renderView1,
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filename='insitu/image_%t.png', freq=1, fittoscreen=0, magnification=1, width=1077, height=763, cinema={})
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renderView1.ViewTime = datadescription.GetTime()
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# ----------------------------------------------------------------
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# restore active view
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SetActiveView(renderView1)
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# ----------------------------------------------------------------
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# ----------------------------------------------------------------
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# setup the data processing pipelines
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# ----------------------------------------------------------------
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# a producer from a simulation input
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input1 = coprocessor.CreateProducer(datadescription, 'mesh')
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# cellMask [0,1]
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threshold1 = Threshold(Input=input1)
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threshold1.Scalars = ['CELLS', 'cellMask']
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threshold1.ThresholdRange = [0.9, 1.1]
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# ----------------------------------------------------------------
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# setup the visualization in view 'renderView1'
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# ----------------------------------------------------------------
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# show data from threshold1
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threshold1Display = Show(threshold1, renderView1)
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# get color transfer function/color map for 'cellTypes'
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cellTypesLUT = GetColorTransferFunction('cellTypes')
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cellTypesLUT.RGBPoints = [0.0, 0.231373, 0.298039, 0.752941, 1.000244140625, 0.865003, 0.865003, 0.865003, 2.00048828125, 0.705882, 0.0156863, 0.14902]
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cellTypesLUT.ScalarRangeInitialized = 1.0
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# get opacity transfer function/opacity map for 'cellTypes'
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cellTypesPWF = GetOpacityTransferFunction('cellTypes')
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cellTypesPWF.Points = [0.0, 0.0, 0.5, 0.0, 2.00048828125, 1.0, 0.5, 0.0]
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cellTypesPWF.ScalarRangeInitialized = 1
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# trace defaults for the display properties.
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threshold1Display.Representation = 'Surface With Edges'
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threshold1Display.ColorArrayName = ['CELLS', 'cellTypes']
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threshold1Display.LookupTable = cellTypesLUT
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threshold1Display.OSPRayScaleArray = 'U'
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threshold1Display.OSPRayScaleFunction = 'PiecewiseFunction'
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threshold1Display.SelectOrientationVectors = 'None'
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threshold1Display.ScaleFactor = 0.0019999999552965165
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threshold1Display.SelectScaleArray = 'None'
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threshold1Display.GlyphType = 'Arrow'
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threshold1Display.GlyphTableIndexArray = 'None'
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threshold1Display.GaussianRadius = 9.999999776482583e-05
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threshold1Display.SetScaleArray = ['POINTS', 'U']
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threshold1Display.ScaleTransferFunction = 'PiecewiseFunction'
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threshold1Display.OpacityArray = ['POINTS', 'U']
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threshold1Display.OpacityTransferFunction = 'PiecewiseFunction'
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threshold1Display.DataAxesGrid = 'GridAxesRepresentation'
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threshold1Display.SelectionCellLabelFontFile = ''
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threshold1Display.SelectionPointLabelFontFile = ''
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threshold1Display.PolarAxes = 'PolarAxesRepresentation'
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threshold1Display.ScalarOpacityFunction = cellTypesPWF
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threshold1Display.ScalarOpacityUnitDistance = 0.0017065741933059136
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# init the 'PiecewiseFunction' selected for 'ScaleTransferFunction'
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threshold1Display.ScaleTransferFunction.Points = [-0.2505497634410858, 0.0, 0.5, 0.0, 0.3270378112792969, 1.0, 0.5, 0.0]
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# init the 'PiecewiseFunction' selected for 'OpacityTransferFunction'
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threshold1Display.OpacityTransferFunction.Points = [-0.2505497634410858, 0.0, 0.5, 0.0, 0.3270378112792969, 1.0, 0.5, 0.0]
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# init the 'GridAxesRepresentation' selected for 'DataAxesGrid'
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threshold1Display.DataAxesGrid.XTitleFontFile = ''
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threshold1Display.DataAxesGrid.YTitleFontFile = ''
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threshold1Display.DataAxesGrid.ZTitleFontFile = ''
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threshold1Display.DataAxesGrid.XLabelFontFile = ''
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threshold1Display.DataAxesGrid.YLabelFontFile = ''
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threshold1Display.DataAxesGrid.ZLabelFontFile = ''
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# init the 'PolarAxesRepresentation' selected for 'PolarAxes'
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threshold1Display.PolarAxes.PolarAxisTitleFontFile = ''
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threshold1Display.PolarAxes.PolarAxisLabelFontFile = ''
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threshold1Display.PolarAxes.LastRadialAxisTextFontFile = ''
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threshold1Display.PolarAxes.SecondaryRadialAxesTextFontFile = ''
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# setup the color legend parameters for each legend in this view
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# get color legend/bar for cellTypesLUT in view renderView1
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cellTypesLUTColorBar = GetScalarBar(cellTypesLUT, renderView1)
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cellTypesLUTColorBar.Title = 'cellTypes'
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cellTypesLUTColorBar.ComponentTitle = ''
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cellTypesLUTColorBar.TitleFontFile = ''
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cellTypesLUTColorBar.LabelFontFile = ''
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# set color bar visibility
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cellTypesLUTColorBar.Visibility = 1
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# show color legend
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threshold1Display.SetScalarBarVisibility(renderView1, True)
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return Pipeline()
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class CoProcessor(coprocessing.CoProcessor):
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def CreatePipeline(self, datadescription):
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self.Pipeline = _CreatePipeline(self, datadescription)
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coprocessor = CoProcessor()
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# Frequencies at which the coprocessor updates.
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freqs = {'mesh': [1, 1, 1]}
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coprocessor.SetUpdateFrequencies(freqs)
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return coprocessor
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#--------------------------------------------------------------
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# Global variable that will hold the pipeline for each timestep
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# Creating the CoProcessor object, doesn't actually create the ParaView pipeline.
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# It will be automatically setup when coprocessor.UpdateProducers() is called the
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# first time.
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coprocessor = CreateCoProcessor()
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#--------------------------------------------------------------
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# Enable Live-Visualizaton with ParaView and the update frequency
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coprocessor.EnableLiveVisualization(True, 1)
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# ---------------------- Data Selection method ----------------------
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def RequestDataDescription(datadescription):
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"Callback to populate the request for current timestep"
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global coprocessor
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if datadescription.GetForceOutput() == True:
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# We are just going to request all fields and meshes from the simulation
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# code/adaptor.
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for i in range(datadescription.GetNumberOfInputDescriptions()):
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datadescription.GetInputDescription(i).AllFieldsOn()
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datadescription.GetInputDescription(i).GenerateMeshOn()
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return
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# setup requests for all inputs based on the requirements of the
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# pipeline.
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coprocessor.LoadRequestedData(datadescription)
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# ------------------------ Processing method ------------------------
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def DoCoProcessing(datadescription):
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"Callback to do co-processing for current timestep"
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global coprocessor
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# Update the coprocessor by providing it the newly generated simulation data.
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# If the pipeline hasn't been setup yet, this will setup the pipeline.
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coprocessor.UpdateProducers(datadescription)
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# Write output data, if appropriate.
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coprocessor.WriteData(datadescription);
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# Write image capture (Last arg: rescale lookup table), if appropriate.
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coprocessor.WriteImages(datadescription, rescale_lookuptable=rescale_lookuptable,
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image_quality=0, padding_amount=imageFileNamePadding)
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# Live Visualization, if enabled.
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coprocessor.DoLiveVisualization(datadescription, "localhost", 22222)
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@ -0,0 +1,88 @@
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from paraview.simple import *
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from paraview import coprocessing
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#--------------------------------------------------------------
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# Code generated from cpstate.py to create the CoProcessor.
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# paraview version 5.5.0
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#--------------------------------------------------------------
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# Global screenshot output options
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imageFileNamePadding=0
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rescale_lookuptable=False
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# ----------------------- CoProcessor definition -----------------------
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def CreateCoProcessor():
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def _CreatePipeline(coprocessor, datadescription):
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class Pipeline:
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# a producer from a simulation input
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input1 = coprocessor.CreateProducer(datadescription, 'mesh')
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# cellMask [0,1]
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threshold1 = Threshold(Input=input1)
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threshold1.Scalars = ['CELLS', 'cellMask']
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threshold1.ThresholdRange = [0.9, 1.1]
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writer1 = servermanager.writers.XMLMultiBlockDataWriter(Input=threshold1)
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coprocessor.RegisterWriter(writer1, filename='insitu/overset_%t.vtm', freq=1, paddingamount=0)
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return Pipeline()
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class CoProcessor(coprocessing.CoProcessor):
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def CreatePipeline(self, datadescription):
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self.Pipeline = _CreatePipeline(self, datadescription)
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coprocessor = CoProcessor()
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# Frequencies at which the coprocessor updates.
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freqs = {'mesh': [5]}
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coprocessor.SetUpdateFrequencies(freqs)
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return coprocessor
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#--------------------------------------------------------------
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# Global variable that will hold the pipeline for each timestep
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# Creating the CoProcessor object, doesn't actually create the ParaView pipeline.
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# It will be automatically setup when coprocessor.UpdateProducers() is called the
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# first time.
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coprocessor = CreateCoProcessor()
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#--------------------------------------------------------------
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# Enable Live-Visualizaton with ParaView and the update frequency
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coprocessor.EnableLiveVisualization(False, 1)
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# ---------------------- Data Selection method ----------------------
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def RequestDataDescription(datadescription):
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"Callback to populate the request for current timestep"
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global coprocessor
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if datadescription.GetForceOutput() == True:
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# We are just going to request all fields and meshes from the simulation
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# code/adaptor.
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for i in range(datadescription.GetNumberOfInputDescriptions()):
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datadescription.GetInputDescription(i).AllFieldsOn()
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datadescription.GetInputDescription(i).GenerateMeshOn()
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return
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# setup requests for all inputs based on the requirements of the
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# pipeline.
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coprocessor.LoadRequestedData(datadescription)
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# ------------------------ Processing method ------------------------
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def DoCoProcessing(datadescription):
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"Callback to do co-processing for current timestep"
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global coprocessor
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# Update the coprocessor by providing it the newly generated simulation data.
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# If the pipeline hasn't been setup yet, this will setup the pipeline.
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coprocessor.UpdateProducers(datadescription)
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# Write output data, if appropriate.
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coprocessor.WriteData(datadescription);
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# Write image capture (Last arg: rescale lookup table), if appropriate.
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coprocessor.WriteImages(datadescription, rescale_lookuptable=rescale_lookuptable,
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image_quality=0, padding_amount=imageFileNamePadding)
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# Live Visualization, if enabled.
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coprocessor.DoLiveVisualization(datadescription, "localhost", 22222)
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