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'''
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$Author$
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$Id$
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'''
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import os, sys
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import numpy
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import glob
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import fnmatch
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import time, datetime
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path = os.path.split(os.getcwd())[0]
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sys.path.append(path)
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from JROHeaderIO import *
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from JRODataIO import JRODataReader
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from JRODataIO import JRODataWriter
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from Data.JROData import Voltage
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class VoltageReader(JRODataReader):
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"""
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Esta clase permite leer datos de voltage desde archivos en formato rawdata (.r). La lectura
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de los datos siempre se realiza por bloques. Los datos leidos (array de 3 dimensiones:
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perfiles*alturas*canales) son almacenados en la variable "buffer".
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perfiles * alturas * canales
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Esta clase contiene instancias (objetos) de las clases BasicHeader, SystemHeader,
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RadarControllerHeader y Voltage. Los tres primeros se usan para almacenar informacion de la
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cabecera de datos (metadata), y el cuarto (Voltage) para obtener y almacenar un perfil de
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datos desde el "buffer" cada vez que se ejecute el metodo "getData".
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Example:
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dpath = "/home/myuser/data"
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startTime = datetime.datetime(2010,1,20,0,0,0,0,0,0)
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endTime = datetime.datetime(2010,1,21,23,59,59,0,0,0)
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readerObj = VoltageReader()
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readerObj.setup(dpath, startTime, endTime)
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while(True):
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#to get one profile
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profile = readerObj.getData()
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#print the profile
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print profile
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#If you want to see all datablock
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print readerObj.datablock
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if readerObj.flagNoMoreFiles:
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break
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"""
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ext = ".r"
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optchar = "D"
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dataOutObj = None
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def __init__(self, dataOutObj=None):
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"""
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Inicializador de la clase VoltageReader para la lectura de datos de voltage.
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Input:
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dataOutObj : Objeto de la clase Voltage. Este objeto sera utilizado para
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almacenar un perfil de datos cada vez que se haga un requerimiento
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(getData). El perfil sera obtenido a partir del buffer de datos,
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si el buffer esta vacio se hara un nuevo proceso de lectura de un
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bloque de datos.
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Si este parametro no es pasado se creara uno internamente.
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Variables afectadas:
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self.dataOutObj
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Return:
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None
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"""
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self.datablock = None
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self.utc = 0
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self.ext = ".r"
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self.optchar = "D"
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self.basicHeaderObj = BasicHeader()
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self.systemHeaderObj = SystemHeader()
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self.radarControllerHeaderObj = RadarControllerHeader()
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self.processingHeaderObj = ProcessingHeader()
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self.online = 0
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self.fp = None
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self.idFile = None
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self.dtype = None
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self.fileSizeByHeader = None
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self.filenameList = []
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self.filename = None
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self.fileSize = None
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self.firstHeaderSize = 0
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self.basicHeaderSize = 24
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self.pathList = []
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self.filenameList = []
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self.lastUTTime = 0
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self.maxTimeStep = 30
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self.flagNoMoreFiles = 0
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self.set = 0
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self.path = None
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self.profileIndex = 9999
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self.delay = 3 #seconds
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self.nTries = 3 #quantity tries
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self.nFiles = 3 #number of files for searching
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self.nReadBlocks = 0
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self.flagIsNewFile = 1
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self.ippSeconds = 0
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self.flagTimeBlock = 0
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self.flagIsNewBlock = 0
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self.nTotalBlocks = 0
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self.blocksize = 0
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def createObjByDefault(self):
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dataObj = Voltage()
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return dataObj
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def __hasNotDataInBuffer(self):
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if self.profileIndex >= self.processingHeaderObj.profilesPerBlock:
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return 1
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return 0
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def getBlockDimension(self):
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"""
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Obtiene la cantidad de puntos a leer por cada bloque de datos
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Affected:
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self.blocksize
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Return:
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None
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"""
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pts2read = self.processingHeaderObj.profilesPerBlock * self.processingHeaderObj.nHeights * self.systemHeaderObj.nChannels
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self.blocksize = pts2read
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def readBlock(self):
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"""
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readBlock lee el bloque de datos desde la posicion actual del puntero del archivo
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(self.fp) y actualiza todos los parametros relacionados al bloque de datos
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(metadata + data). La data leida es almacenada en el buffer y el contador del buffer
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es seteado a 0
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Inputs:
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None
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Return:
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None
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Affected:
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self.profileIndex
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self.datablock
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self.flagIsNewFile
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self.flagIsNewBlock
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self.nTotalBlocks
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Exceptions:
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Si un bloque leido no es un bloque valido
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"""
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junk = numpy.fromfile( self.fp, self.dtype, self.blocksize )
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try:
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junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
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except:
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print "The read block (%3d) has not enough data" %self.nReadBlocks
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return 0
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junk = numpy.transpose(junk, (2,0,1))
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self.datablock = junk['real'] + junk['imag']*1j
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self.profileIndex = 0
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self.flagIsNewFile = 0
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self.flagIsNewBlock = 1
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self.nTotalBlocks += 1
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self.nReadBlocks += 1
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return 1
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def getData(self):
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"""
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getData obtiene una unidad de datos del buffer de lectura y la copia a la clase "Voltage"
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con todos los parametros asociados a este (metadata). cuando no hay datos en el buffer de
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lectura es necesario hacer una nueva lectura de los bloques de datos usando "readNextBlock"
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Ademas incrementa el contador del buffer en 1.
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Return:
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data : retorna un perfil de voltages (alturas * canales) copiados desde el
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buffer. Si no hay mas archivos a leer retorna None.
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Variables afectadas:
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self.dataOutObj
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self.profileIndex
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Affected:
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self.dataOutObj
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self.profileIndex
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self.flagTimeBlock
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self.flagIsNewBlock
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"""
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if self.flagNoMoreFiles: return 0
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self.flagTimeBlock = 0
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self.flagIsNewBlock = 0
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if self.__hasNotDataInBuffer():
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if not( self.readNextBlock() ):
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return 0
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# self.updateDataHeader()
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if self.flagNoMoreFiles == 1:
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print 'Process finished'
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return 0
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#data es un numpy array de 3 dmensiones (perfiles, alturas y canales)
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if self.datablock == None:
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self.dataOutObj.flagNoData = True
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return 0
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self.dataOutObj.data = self.datablock[:,self.profileIndex,:]
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self.dataOutObj.dtype = self.dtype
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self.dataOutObj.nChannels = self.systemHeaderObj.nChannels
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self.dataOutObj.nHeights = self.processingHeaderObj.nHeights
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self.dataOutObj.nProfiles = self.processingHeaderObj.profilesPerBlock
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xf = self.processingHeaderObj.firstHeight + self.processingHeaderObj.nHeights*self.processingHeaderObj.deltaHeight
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self.dataOutObj.heightList = numpy.arange(self.processingHeaderObj.firstHeight, xf, self.processingHeaderObj.deltaHeight)
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self.dataOutObj.channelList = range(self.systemHeaderObj.nChannels)
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self.dataOutObj.channelIndexList = range(self.systemHeaderObj.nChannels)
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self.dataOutObj.flagTimeBlock = self.flagTimeBlock
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self.dataOutObj.utctime = self.basicHeaderObj.utc + self.basicHeaderObj.miliSecond/1000. + self.profileIndex * self.ippSeconds
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self.dataOutObj.ippSeconds = self.ippSeconds
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self.dataOutObj.timeInterval = self.ippSeconds * self.processingHeaderObj.nCohInt
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self.dataOutObj.nCohInt = self.processingHeaderObj.nCohInt
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self.dataOutObj.flagShiftFFT = False
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if self.processingHeaderObj.code != None:
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self.dataOutObj.nCode = self.processingHeaderObj.nCode
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self.dataOutObj.nBaud = self.processingHeaderObj.nBaud
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self.dataOutObj.code = self.processingHeaderObj.code
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self.profileIndex += 1
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self.dataOutObj.systemHeaderObj = self.systemHeaderObj.copy()
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self.dataOutObj.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
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self.dataOutObj.flagNoData = False
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# print self.profileIndex, self.dataOutObj.utctime
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# if self.profileIndex == 800:
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# a=1
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return self.dataOutObj.data
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class VoltageWriter(JRODataWriter):
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"""
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Esta clase permite escribir datos de voltajes a archivos procesados (.r). La escritura
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de los datos siempre se realiza por bloques.
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"""
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ext = ".r"
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optchar = "D"
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shapeBuffer = None
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def __init__(self, dataOutObj=None):
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"""
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Inicializador de la clase VoltageWriter para la escritura de datos de espectros.
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Affected:
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self.dataOutObj
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Return: None
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"""
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if dataOutObj == None:
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dataOutObj = Voltage()
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if not( isinstance(dataOutObj, Voltage) ):
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raise ValueError, "in VoltageReader, dataOutObj must be an Spectra class object"
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self.dataOutObj = dataOutObj
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self.nTotalBlocks = 0
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self.profileIndex = 0
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def hasAllDataInBuffer(self):
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if self.profileIndex >= self.processingHeaderObj.profilesPerBlock:
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return 1
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return 0
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def setBlockDimension(self):
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"""
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Obtiene las formas dimensionales del los subbloques de datos que componen un bloque
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Affected:
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self.shape_spc_Buffer
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self.shape_cspc_Buffer
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self.shape_dc_Buffer
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Return: None
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"""
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self.shapeBuffer = (self.processingHeaderObj.profilesPerBlock,
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self.processingHeaderObj.nHeights,
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self.systemHeaderObj.nChannels)
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self.datablock = numpy.zeros((self.systemHeaderObj.nChannels,
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self.processingHeaderObj.profilesPerBlock,
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self.processingHeaderObj.nHeights),
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dtype=numpy.dtype('complex'))
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def writeBlock(self):
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"""
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Escribe el buffer en el file designado
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Affected:
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self.profileIndex
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self.flagIsNewFile
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self.flagIsNewBlock
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self.nTotalBlocks
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self.blockIndex
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Return: None
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"""
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data = numpy.zeros( self.shapeBuffer, self.dtype )
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junk = numpy.transpose(self.datablock, (1,2,0))
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data['real'] = junk.real
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data['imag'] = junk.imag
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data = data.reshape( (-1) )
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data.tofile( self.fp )
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self.datablock.fill(0)
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self.profileIndex = 0
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self.flagIsNewFile = 0
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self.flagIsNewBlock = 1
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self.blockIndex += 1
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self.nTotalBlocks += 1
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def putData(self):
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"""
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Setea un bloque de datos y luego los escribe en un file
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Affected:
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self.flagIsNewBlock
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self.profileIndex
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Return:
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0 : Si no hay data o no hay mas files que puedan escribirse
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1 : Si se escribio la data de un bloque en un file
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"""
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self.flagIsNewBlock = 0
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if self.dataOutObj.flagNoData:
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return 0
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if self.dataOutObj.flagTimeBlock:
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self.datablock.fill(0)
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self.profileIndex = 0
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self.setNextFile()
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if self.profileIndex == 0:
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self.getBasicHeader()
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self.datablock[:,self.profileIndex,:] = self.dataOutObj.data
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self.profileIndex += 1
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if self.hasAllDataInBuffer():
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#if self.flagIsNewFile:
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self.writeNextBlock()
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# self.getDataHeader()
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if self.flagNoMoreFiles:
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#print 'Process finished'
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return 0
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return 1
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def __getProcessFlags(self):
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processFlags = 0
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dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
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dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
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dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
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dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
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dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
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dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
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dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
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datatypeValueList = [PROCFLAG.DATATYPE_CHAR,
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PROCFLAG.DATATYPE_SHORT,
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PROCFLAG.DATATYPE_LONG,
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PROCFLAG.DATATYPE_INT64,
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PROCFLAG.DATATYPE_FLOAT,
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PROCFLAG.DATATYPE_DOUBLE]
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for index in range(len(dtypeList)):
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if self.dataOutObj.dtype == dtypeList[index]:
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dtypeValue = datatypeValueList[index]
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break
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processFlags += dtypeValue
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if self.dataOutObj.flagDecodeData:
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processFlags += PROCFLAG.DECODE_DATA
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if self.dataOutObj.flagDeflipData:
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processFlags += PROCFLAG.DEFLIP_DATA
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|
|
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if self.dataOutObj.code != None:
|
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|
processFlags += PROCFLAG.DEFINE_PROCESS_CODE
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|
|
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|
if self.dataOutObj.nCohInt > 1:
|
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|
processFlags += PROCFLAG.COHERENT_INTEGRATION
|
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|
|
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return processFlags
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|
|
|
def __getBlockSize(self):
|
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|
'''
|
|
|
Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage
|
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|
'''
|
|
|
|
|
|
dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
|
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|
dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
|
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|
dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
|
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|
dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
|
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|
dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
|
|
|
dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
|
|
|
|
|
|
dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
|
|
|
datatypeValueList = [1,2,4,8,4,8]
|
|
|
for index in range(len(dtypeList)):
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|
|
if self.dataOutObj.dtype == dtypeList[index]:
|
|
|
datatypeValue = datatypeValueList[index]
|
|
|
break
|
|
|
|
|
|
blocksize = int(self.dataOutObj.nHeights * self.dataOutObj.nChannels * self.dataOutObj.nProfiles * datatypeValue * 2)
|
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|
|
|
|
return blocksize
|
|
|
|
|
|
|
|
|
def getBasicHeader(self):
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|
|
self.basicHeaderObj.size = self.basicHeaderSize #bytes
|
|
|
self.basicHeaderObj.version = self.versionFile
|
|
|
self.basicHeaderObj.dataBlock = self.nTotalBlocks
|
|
|
|
|
|
utc = numpy.floor(self.dataOutObj.utctime)
|
|
|
milisecond = (self.dataOutObj.utctime - utc)* 1000.0
|
|
|
|
|
|
self.basicHeaderObj.utc = utc
|
|
|
self.basicHeaderObj.miliSecond = milisecond
|
|
|
self.basicHeaderObj.timeZone = 0
|
|
|
self.basicHeaderObj.dstFlag = 0
|
|
|
self.basicHeaderObj.errorCount = 0
|
|
|
|
|
|
def getDataHeader(self):
|
|
|
|
|
|
"""
|
|
|
Obtiene una copia del First Header
|
|
|
|
|
|
Affected:
|
|
|
self.systemHeaderObj
|
|
|
self.radarControllerHeaderObj
|
|
|
self.dtype
|
|
|
|
|
|
Return:
|
|
|
None
|
|
|
"""
|
|
|
|
|
|
self.systemHeaderObj = self.dataOutObj.systemHeaderObj.copy()
|
|
|
self.systemHeaderObj.nChannels = self.dataOutObj.nChannels
|
|
|
self.radarControllerHeaderObj = self.dataOutObj.radarControllerHeaderObj.copy()
|
|
|
|
|
|
self.getBasicHeader()
|
|
|
|
|
|
processingHeaderSize = 40 # bytes
|
|
|
self.processingHeaderObj.dtype = 0 # Voltage
|
|
|
self.processingHeaderObj.blockSize = self.__getBlockSize()
|
|
|
self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock
|
|
|
self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
|
|
|
self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOutObj.processingHeaderObj.nWindows
|
|
|
self.processingHeaderObj.processFlags = self.__getProcessFlags()
|
|
|
self.processingHeaderObj.nCohInt = self.dataOutObj.nCohInt
|
|
|
self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage
|
|
|
self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage
|
|
|
|
|
|
if self.dataOutObj.code != None:
|
|
|
self.processingHeaderObj.code = self.dataOutObj.code
|
|
|
self.processingHeaderObj.nCode = self.dataOutObj.nCode
|
|
|
self.processingHeaderObj.nBaud = self.dataOutObj.nBaud
|
|
|
codesize = int(8 + 4 * self.dataOutObj.nCode * self.dataOutObj.nBaud)
|
|
|
processingHeaderSize += codesize
|
|
|
|
|
|
if self.processingHeaderObj.nWindows != 0:
|
|
|
self.processingHeaderObj.firstHeight = self.dataOutObj.heightList[0]
|
|
|
self.processingHeaderObj.deltaHeight = self.dataOutObj.heightList[1] - self.dataOutObj.heightList[0]
|
|
|
self.processingHeaderObj.nHeights = self.dataOutObj.nHeights
|
|
|
self.processingHeaderObj.samplesWin = self.dataOutObj.nHeights
|
|
|
processingHeaderSize += 12
|
|
|
|
|
|
self.processingHeaderObj.size = processingHeaderSize
|
|
|
|
