/usr/lib/python2.7/dist-packages/vtk/util/vtkAlgorithm.py is in python-vtk6 6.2.0+dfsg1-10build1.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | from vtk.vtkCommonDataModel import vtkDataObject
from vtk.vtkCommonExecutionModel import vtkAlgorithm
from vtk.vtkCommonExecutionModel import vtkDemandDrivenPipeline
from vtk.vtkCommonExecutionModel import vtkStreamingDemandDrivenPipeline
from vtk.vtkFiltersPython import vtkPythonAlgorithm
class VTKAlgorithm(object):
"""This is a superclass which can be derived to implement
Python classes that work with vtkPythonAlgorithm. It implements
Initialize(), ProcessRequest(), FillInputPortInformation() and
FillOutputPortInformation().
Initialize() sets the input and output ports based on data
members.
ProcessRequest() calls RequestXXX() methods to implement
various pipeline passes.
FillInputPortInformation() and FillOutputPortInformation() set
the input and output types based on data members.
"""
def __init__(self, nInputPorts=1, inputType='vtkDataSet',
nOutputPorts=1, outputType='vtkPolyData'):
"""Sets up default NumberOfInputPorts, NumberOfOutputPorts,
InputType and OutputType that are used by various initialization
methods."""
self.NumberOfInputPorts = nInputPorts
self.NumberOfOutputPorts = nOutputPorts
self.InputType = inputType
self.OutputType = outputType
def Initialize(self, vtkself):
"""Sets up number of input and output ports based on
NumberOfInputPorts and NumberOfOutputPorts."""
vtkself.SetNumberOfInputPorts(self.NumberOfInputPorts)
vtkself.SetNumberOfOutputPorts(self.NumberOfOutputPorts)
def GetInputData(self, inInfo, i, j):
"""Convenience method that returns an input data object
given a vector of information objects and two indices."""
return inInfo[i].GetInformationObject(j).Get(vtkDataObject.DATA_OBJECT())
def GetOutputData(self, outInfo, i):
"""Convenience method that returns an output data object
given an information object and an index."""
return outInfo.GetInformationObject(i).Get(vtkDataObject.DATA_OBJECT())
def RequestDataObject(self, vtkself, request, inInfo, outInfo):
"""Overwritten by subclass to manage data object creation.
There is not need to overwrite this class if the output can
be created based on the OutputType data member."""
return 1
def RequestInformation(self, vtkself, request, inInfo, outInfo):
"""Overwritten by subclass to provide meta-data to downstream
pipeline."""
return 1
def RequestUpdateExtent(self, vtkself, request, inInfo, outInfo):
"""Overwritten by subclass to modify data request going
to upstream pipeline."""
return 1
def RequestData(self, vtkself, request, inInfo, outInfo):
"""Overwritten by subclass to execute the algorithm."""
raise NotImplementedError('RequestData must be implemented')
def ProcessRequest(self, vtkself, request, inInfo, outInfo):
"""Splits a request to RequestXXX() methods."""
if request.Has(vtkDemandDrivenPipeline.REQUEST_DATA_OBJECT()):
return self.RequestDataObject(vtkself, request, inInfo, outInfo)
elif request.Has(vtkDemandDrivenPipeline.REQUEST_INFORMATION()):
return self.RequestInformation(vtkself, request, inInfo, outInfo)
elif request.Has(vtkStreamingDemandDrivenPipeline.REQUEST_UPDATE_EXTENT()):
return self.RequestUpdateExtent(vtkself, request, inInfo, outInfo)
elif request.Has(vtkDemandDrivenPipeline.REQUEST_DATA()):
return self.RequestData(vtkself, request, inInfo, outInfo)
return 1
def FillInputPortInformation(self, vtkself, port, info):
"""Sets the required input type to InputType."""
info.Set(vtkAlgorithm.INPUT_REQUIRED_DATA_TYPE(), self.InputType)
return 1
def FillOutputPortInformation(self, vtkself, port, info):
"""Sets the default output type to OutputType."""
info.Set(vtkDataObject.DATA_TYPE_NAME(), self.OutputType)
return 1
class VTKPythonAlgorithmBase(vtkPythonAlgorithm):
"""This is a superclass which can be derived to implement
Python classes that act as VTK algorithms in a VTK pipeline.
It implements ProcessRequest(), FillInputPortInformation() and
FillOutputPortInformation().
ProcessRequest() calls RequestXXX() methods to implement
various pipeline passes.
FillInputPortInformation() and FillOutputPortInformation() set
the input and output types based on data members.
Common use is something like this:
class HDF5Source(VTKPythonAlgorithmBase):
def __init__(self):
VTKPythonAlgorithmBase.__init__(self,
nInputPorts=0,
nOutputPorts=1, outputType='vtkImageData')
def RequestInformation(self, request, inInfo, outInfo):
f = h5py.File("foo.h5", 'r')
dims = f['RTData'].shape[::-1]
info = outInfo.GetInformationObject(0)
info.Set(vtk.vtkStreamingDemandDrivenPipeline.WHOLE_EXTENT(),
(0, dims[0]-1, 0, dims[1]-1, 0, dims[2]-1), 6)
return 1
def RequestData(self, request, inInfo, outInfo):
f = h5py.File("foo.h5", 'r')
data = f['RTData'][:]
output = dsa.WrapDataObject(vtk.vtkImageData.GetData(outInfo))
output.SetDimensions(data.shape)
output.PointData.append(data.flatten(), 'RTData')
output.PointData.SetActiveScalars('RTData')
return 1
alg = HDF5Source()
cf = vtk.vtkContourFilter()
cf.SetInputConnection(alg.GetOutputPort())
cf.Update()
"""
class InternalAlgorithm(object):
"Internal class. Do not use."
def Initialize(self, vtkself):
pass
def FillInputPortInformation(self, vtkself, port, info):
return vtkself.FillInputPortInformation(port, info)
def FillOutputPortInformation(self, vtkself, port, info):
return vtkself.FillOutputPortInformation(port, info)
def ProcessRequest(self, vtkself, request, inInfo, outInfo):
return vtkself.ProcessRequest(request, inInfo, outInfo)
def __init__(self, nInputPorts=1, inputType='vtkDataSet',
nOutputPorts=1, outputType='vtkPolyData'):
"""Sets up default NumberOfInputPorts, NumberOfOutputPorts,
InputType and OutputType that are used by various methods.
Make sure to call this method from any subclass' __init__"""
self.SetPythonObject(VTKPythonAlgorithmBase.InternalAlgorithm())
self.SetNumberOfInputPorts(nInputPorts)
self.SetNumberOfOutputPorts(nOutputPorts)
self.InputType = inputType
self.OutputType = outputType
def GetInputData(self, inInfo, i, j):
"""Convenience method that returns an input data object
given a vector of information objects and two indices."""
return inInfo[i].GetInformationObject(j).Get(vtkDataObject.DATA_OBJECT())
def GetOutputData(self, outInfo, i):
"""Convenience method that returns an output data object
given an information object and an index."""
return outInfo.GetInformationObject(i).Get(vtkDataObject.DATA_OBJECT())
def FillInputPortInformation(self, port, info):
"""Sets the required input type to InputType."""
info.Set(vtkAlgorithm.INPUT_REQUIRED_DATA_TYPE(), self.InputType)
return 1
def FillOutputPortInformation(self, port, info):
"""Sets the default output type to OutputType."""
info.Set(vtkDataObject.DATA_TYPE_NAME(), self.OutputType)
return 1
def ProcessRequest(self, request, inInfo, outInfo):
"""Splits a request to RequestXXX() methods."""
if request.Has(vtkDemandDrivenPipeline.REQUEST_DATA_OBJECT()):
return self.RequestDataObject(request, inInfo, outInfo)
elif request.Has(vtkDemandDrivenPipeline.REQUEST_INFORMATION()):
return self.RequestInformation(request, inInfo, outInfo)
elif request.Has(vtkStreamingDemandDrivenPipeline.REQUEST_UPDATE_EXTENT()):
return self.RequestUpdateExtent(request, inInfo, outInfo)
elif request.Has(vtkDemandDrivenPipeline.REQUEST_DATA()):
return self.RequestData(request, inInfo, outInfo)
return 1
def RequestDataObject(self, request, inInfo, outInfo):
"""Overwritten by subclass to manage data object creation.
There is not need to overwrite this class if the output can
be created based on the OutputType data member."""
return 1
def RequestInformation(self, request, inInfo, outInfo):
"""Overwritten by subclass to provide meta-data to downstream
pipeline."""
return 1
def RequestUpdateExtent(self, request, inInfo, outInfo):
"""Overwritten by subclass to modify data request going
to upstream pipeline."""
return 1
def RequestData(self, vtkself, request, inInfo, outInfo):
"""Overwritten by subclass to execute the algorithm."""
raise NotImplementedError('RequestData must be implemented')
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