profilereader.ProfileData Class Reference

Inheritance diagram for profilereader.ProfileData:

Public Member Functions
def	__init__

Public Attributes
	functionNameToId
	idToFunctionInfo
	paths

Detailed Description

Definition at line 42 of file profilereader.py.

Constructor & Destructor Documentation

def profilereader.ProfileData.__init__	(		self,
			filesToUseInfo,
			feedBackStream = None
	)

Definition at line 43 of file profilereader.py.

References mergeVDriftHistosByStation.file.

    def __init__(self,filesToUseInfo,feedBackStream=None):
        #try to determine the filePrefix from the value given
        # since caller may have given us just one of the files
        # instead of the prefix to the files
        (dir,base) = os.path.split(filesToUseInfo)
        uniqueID = base.split('_')[1]
        filePrefix = os.path.join(dir,"profdata_"+uniqueID+"_")
        if feedBackStream:
            feedBackStream.write('reading file: '+filePrefix+'names')
        nameFile = file(filePrefix+'names','r')
        self.idToFunctionInfo = dict()
        self.functionNameToId = dict()
        feedbackIndex = 0
        for line in nameFile:
            if feedBackStream and (0 == feedbackIndex % 100):
                feedBackStream.write('.')
            feedbackIndex +=1
            infoList = line.split('\t')
            self.idToFunctionInfo.setdefault( int(infoList[0]), FunctionInfo(infoList[1:]))
            self.functionNameToId.setdefault(self.idToFunctionInfo[int(infoList[0])].name, int(infoList[0]))
        if feedBackStream:
            feedBackStream.write('\nreading file: '+filePrefix+'paths')
        pathFile = file(filePrefix+'paths','r')
        self.paths = list()
        feedbackIndex = 0
        for line in pathFile:
            if feedBackStream and (0 == feedbackIndex % 100):
                feedBackStream.write('.')
            feedbackIndex +=1
            line.strip()
            path = Path( line.split(' ')[1:])
            self.paths.append(path)
            caller = None
            for funcId in path.functionIds:
                func = self.idToFunctionInfo[funcId]
                if caller:
                    func.addCaller(caller,path.count)
                    caller.addCallee(func,path.count)
                caller = func
        feedbackIndex = 0
        if feedBackStream:
            feedBackStream.write('\nprocessing data:')
        for x in self.idToFunctionInfo.items():
            if feedBackStream and (0 == feedbackIndex % 100):
                feedBackStream.write('.')
            feedbackIndex +=1
            x[1].normalize()