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'''
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Created on Feb 7, 2012
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@author $Author$
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@version $Id$
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'''
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import copy
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import numpy
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from JROHeader import RadarControllerHeader, ProcessingHeader, SystemHeader, BasicHeader
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class Data:
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'''
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classdocs
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'''
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def __init__(self):
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'''
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Constructor
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'''
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raise ValueError, "This class has not been implemented"
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def copy(self, objIn=None):
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if objIn == None:
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return copy.deepcopy(self)
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for key in objIn.__dict__.keys():
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self.__dict__[key] = objIn.__dict__[key]
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def deepcopy(self):
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return copy.deepcopy(self)
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class JROData(Data):
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'''
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classdocs
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'''
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radarControllerHeaderObj = RadarControllerHeader()
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m_ProcessingHeader = ProcessingHeader()
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systemHeaderObj = SystemHeader()
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m_BasicHeader = BasicHeader()
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noise = None
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type = None
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dataType = None
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nHeights = None
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nProfiles = None
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nChannels = None
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heightList = None
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channelList = None
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channelIndexList = None
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pairList = None
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flagNoData = False
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flagResetProcessing = False
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def __init__(self):
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'''
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Constructor
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'''
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raise ValueError, "This class has not been implemented"
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def updateHeaderFromObj(self):
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xi = self.heightList[0]
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step = self.heightList[1] - self.heightList[0]
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self.m_ProcessingHeader.firstHeight = xi
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self.m_ProcessingHeader.deltaHeight = step
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self.m_ProcessingHeader.numHeights = self.nHeights
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self.systemHeaderObj.numChannels = self.nChannels
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self.systemHeaderObj.numProfiles = self.nProfiles
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def updateObjFromHeader(self):
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xi = self.m_ProcessingHeader.firstHeight
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step = self.m_ProcessingHeader.deltaHeight
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xf = xi + self.m_ProcessingHeader.numHeights*step
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self.heightList = numpy.arange(xi, xf, step)
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self.channelIndexList = numpy.arange(self.systemHeaderObj.numChannels)
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self.channelList = numpy.arange(self.systemHeaderObj.numChannels)
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self.nHeights = len(self.heightList)
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self.nProfiles = self.systemHeaderObj.numProfiles
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self.nChannels = len(self.channelList)
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