Python XSDataImage.parseString方法代碼示例

# 需要導入模塊: from XSDataCommon import XSDataImage [as 別名]
# 或者: from XSDataCommon.XSDataImage import parseString [as 別名]
 def doSuccessGeneratePrediction(self, _edPlugin=None):
     self.DEBUG("EDPluginControlGeneratePredictionv10.doSuccessGeneratePrediction")
     self.retrieveSuccessMessages(_edPlugin, "EDPluginControlGeneratePredictionv10.doSuccessGeneratePrediction")
     if (self.__xsDataGeneratePredictionResult is None):
         self.__xsDataGeneratePredictionResult = XSDataGeneratePredictionResult()
     xsDataMOSFLMOutputGeneratePrediction = _edPlugin.getDataOutput()
     xsDataImage = xsDataMOSFLMOutputGeneratePrediction.getPredictionImage()
     self.__xsDataGeneratePredictionResult.addPredictionImage(XSDataImage.parseString(xsDataImage.marshal()))

# 需要導入模塊: from XSDataCommon import XSDataImage [as 別名]
# 或者: from XSDataCommon.XSDataImage import parseString [as 別名]
    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)

# 需要導入模塊: from XSDataCommon import XSDataImage [as 別名]
# 或者: from XSDataCommon.XSDataImage import parseString [as 別名]
    def generateListXSDataImageReference(_xsDataIndexingInput):

        listXSDataImageReference = []
        xsDataCollection = _xsDataIndexingInput.getDataCollection()
        xsDataSubWedgeList = xsDataCollection.getSubWedge()
        xsDataImageFirst = xsDataSubWedgeList[0].getImage()[0]
        listXSDataImageReference.append(XSDataImage.parseString(xsDataImageFirst.marshal()))
        fPhiStartFirst = xsDataSubWedgeList[0].getExperimentalCondition().getGoniostat().getRotationAxisStart().getValue()

        if (len(xsDataSubWedgeList) > 1):

            xsDataImageSecond = xsDataSubWedgeList[-1].getImage()[0]
            fPhiStartSecond = xsDataSubWedgeList[-1].getExperimentalCondition().getGoniostat().getRotationAxisStart().getValue()

            # Add modulus!            
            if (abs(fPhiStartSecond - fPhiStartFirst) > 4):

                listXSDataImageReference.append(XSDataImage.parseString(xsDataImageSecond.marshal()))

        return listXSDataImageReference

# 需要導入模塊: from XSDataCommon import XSDataImage [as 別名]
# 或者: from XSDataCommon.XSDataImage import parseString [as 別名]
 def generateImageList(self, _xsDataCollection):
     """
     Make a list of all images in the subwedges
     """
     self.verboseDebug("EDPluginControlIndexingIndicatorsv1_1.generateImageList")
     listImage = None
     if (_xsDataCollection is not None):
         listImage = []
         xsDataSubWedgeList = _xsDataCollection.getSubWedge()
         for xsDataSubWedge in xsDataSubWedgeList:
             xsDataImageList = xsDataSubWedge.getImage()
             for xsDataImage in xsDataImageList:
                 listImage.append(XSDataImage.parseString(xsDataImage.marshal()))
     return listImage

# 需要導入模塊: from XSDataCommon import XSDataImage [as 別名]
# 或者: from XSDataCommon.XSDataImage import parseString [as 別名]
 def testParseLabelitDistlOutput(self):
     """
     This method test the parsing of the Labelit results in the log file.
     """
     edPluginLabelitDistlv1_1 = self.createPlugin()
     strPathToLabelitLogText = os.path.join(self.getPluginTestsDataHome(), "labelit.distl_v116.log")
     strLabelitLogText = self.readAndParseFile(strPathToLabelitLogText)
     xsDataImageQualityIndicators = edPluginLabelitDistlv1_1.parseLabelitDistlOutput(strLabelitLogText)
     xmlInput1 = self.readAndParseFile(self.__strReferenceInputFile1)
     xsDataImage1 = XSDataImage.parseString(xmlInput1)
     xsDataImageQualityIndicators.setImage(xsDataImage1)
     strLabelitDistlOutputFile = os.path.join(self.getPluginTestsDataHome(), "XSDataImageQualityIndicators_reference.xml")
     strLabelitDistlOutputXML = self.readAndParseFile(strLabelitDistlOutputFile)
     from XSDataLabelitv1_1 import XSDataImageQualityIndicators
     xsDataImageQualityIndicatorsReference = XSDataImageQualityIndicators.parseString(strLabelitDistlOutputXML)
     EDAssert.equal(xsDataImageQualityIndicatorsReference.marshal(), xsDataImageQualityIndicators.marshal())