def preProcess(self, _edObject=None):
"""
Gets the Configuration Parameters, if found, overrides default parameters
"""
EDPluginControl.preProcess(self, _edObject)
self.DEBUG("EDPluginControlGeneratePredictionv10.preProcess...")
xsDataGeneratePredictionInput = self.getDataInput()
xsDataSelectedIndexingSolution = xsDataGeneratePredictionInput.getSelectedIndexingSolution()
xsDataExperimentalConditionRefined = xsDataSelectedIndexingSolution.getExperimentalConditionRefined()
xsDataCollection = xsDataGeneratePredictionInput.getDataCollection()
xsDataSubWedgeList = xsDataCollection.getSubWedge()
# List containing instances of all the generate prediction plugins
self.__listPluginGeneratePrediction = []
# Loop through all subwedges
iIndex = 0
for xsDataSubWedge in xsDataSubWedgeList:
xsDataImageList = xsDataSubWedge.getImage()
# First find the lowest image number
iLowestImageNumber = None
for xsDataImage in xsDataImageList:
iImageNumber = xsDataImage.getNumber().getValue()
if (iLowestImageNumber is None):
iLowestImageNumber = iImageNumber
elif (iImageNumber < iLowestImageNumber):
iLowestImageNumber = iImageNumber
# Then loop through all images in a sub wedge
for xsDataImage in xsDataImageList:
iIndex += 1
edPluginGeneratePrediction = self.loadPlugin(self.__strPluginGeneratePredictionName,
"%s-%02d" % (self.__strPluginGeneratePredictionName, iIndex))
xsDataGeneratePredictionInput = XSDataGeneratePredictionInput()
xsDataGeneratePredictionInput.setSelectedIndexingSolution(XSDataIndexingSolutionSelected.parseString(xsDataSelectedIndexingSolution.marshal()))
xsDataCollectionNew = XSDataCollection()
xsDataSubWedgeNew = XSDataSubWedge()
xsDataSubWedgeNew.addImage(XSDataImage.parseString(xsDataImage.marshal()))
xsDataSubWedgeNew.setExperimentalCondition(XSDataExperimentalCondition.parseString(xsDataSubWedge.getExperimentalCondition().marshal()))
# We must modify the rotationOscillationStart for the new subwedge
xsDataGoniostatNew = xsDataSubWedgeNew.getExperimentalCondition().getGoniostat()
fGoniostatRotationAxisStart = xsDataGoniostatNew.getRotationAxisStart().getValue()
fGonioStatOscillationRange = xsDataGoniostatNew.getOscillationWidth().getValue()
iImageNumber = xsDataImage.getNumber().getValue()
fGoniostatRotationAxisStartNew = fGoniostatRotationAxisStart + (iImageNumber - iLowestImageNumber) * fGonioStatOscillationRange
xsDataGoniostatNew.setRotationAxisStart(XSDataAngle(fGoniostatRotationAxisStartNew))
#
xsDataCollectionNew.addSubWedge(xsDataSubWedgeNew)
xsDataGeneratePredictionInput.setDataCollection(xsDataCollectionNew)
from EDHandlerXSDataMOSFLMv10 import EDHandlerXSDataMOSFLMv10
xsDataMOSFLMInputGeneratePrediction = EDHandlerXSDataMOSFLMv10.generateXSDataMOSFLMInputGeneratePrediction(xsDataGeneratePredictionInput)
edPluginGeneratePrediction.setDataInput(xsDataMOSFLMInputGeneratePrediction)
self.__listPluginGeneratePrediction.append(edPluginGeneratePrediction)
def preProcess(self, _edObject=None):
"""
Gets the Configuration Parameters, if found, overrides default parameters
"""
EDPluginControl.preProcess(self, _edObject)
EDVerbose.DEBUG("EDPluginControlGeneratePredictionv10.preProcess...")
xsDataGeneratePredictionInput = self.getDataInput()
xsDataSelectedIndexingSolution = xsDataGeneratePredictionInput.getSelectedIndexingSolution(
)
xsDataExperimentalConditionRefined = xsDataSelectedIndexingSolution.getExperimentalConditionRefined(
)
xsDataCollection = xsDataGeneratePredictionInput.getDataCollection()
xsDataSubWedgeList = xsDataCollection.getSubWedge()
# List containing instances of all the generate prediction plugins
self.__listPluginGeneratePrediction = []
# Loop through all subwedges
iIndex = 0
for xsDataSubWedge in xsDataSubWedgeList:
xsDataImageList = xsDataSubWedge.getImage()
# First find the lowest image number
iLowestImageNumber = None
for xsDataImage in xsDataImageList:
iImageNumber = xsDataImage.getNumber().getValue()
if (iLowestImageNumber is None):
iLowestImageNumber = iImageNumber
elif (iImageNumber < iLowestImageNumber):
iLowestImageNumber = iImageNumber
# Then loop through all images in a sub wedge
for xsDataImage in xsDataImageList:
iIndex += 1
edPluginGeneratePrediction = self.loadPlugin(
self.__strPluginGeneratePredictionName, "%s-%02d" %
(self.__strPluginGeneratePredictionName, iIndex))
xsDataGeneratePredictionInput = XSDataGeneratePredictionInput()
xsDataGeneratePredictionInput.setSelectedIndexingSolution(
XSDataIndexingSolutionSelected.parseString(
xsDataSelectedIndexingSolution.marshal()))
xsDataCollectionNew = XSDataCollection()
xsDataSubWedgeNew = XSDataSubWedge()
xsDataSubWedgeNew.addImage(
XSDataImage.parseString(xsDataImage.marshal()))
xsDataSubWedgeNew.setExperimentalCondition(
XSDataExperimentalCondition.parseString(
xsDataSubWedge.getExperimentalCondition().marshal()))
# We must modify the rotationOscillationStart for the new subwedge
xsDataGoniostatNew = xsDataSubWedgeNew.getExperimentalCondition(
).getGoniostat()
fGoniostatRotationAxisStart = xsDataGoniostatNew.getRotationAxisStart(
).getValue()
fGonioStatOscillationRange = xsDataGoniostatNew.getOscillationWidth(
).getValue()
iImageNumber = xsDataImage.getNumber().getValue()
fGoniostatRotationAxisStartNew = fGoniostatRotationAxisStart + (
iImageNumber -
iLowestImageNumber) * fGonioStatOscillationRange
xsDataGoniostatNew.setRotationAxisStart(
XSDataAngle(fGoniostatRotationAxisStartNew))
#
xsDataCollectionNew.addSubWedge(xsDataSubWedgeNew)
xsDataGeneratePredictionInput.setDataCollection(
xsDataCollectionNew)
from EDHandlerXSDataMOSFLMv10 import EDHandlerXSDataMOSFLMv10
xsDataMOSFLMInputGeneratePrediction = EDHandlerXSDataMOSFLMv10.generateXSDataMOSFLMInputGeneratePrediction(
xsDataGeneratePredictionInput)
edPluginGeneratePrediction.setDataInput(
xsDataMOSFLMInputGeneratePrediction)
self.__listPluginGeneratePrediction.append(
edPluginGeneratePrediction)
