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schain
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Bug fixed: error calculating size of RC Header. ...
Miguel Valdez -
r616:2d27990ff2eb
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@@ -7,6 +7,9 import numpy
7 7 import copy
8 8 import datetime
9 9
10 SPEED_OF_LIGHT = 299792458
11 SPEED_OF_LIGHT = 3e8
12
10 13 BASIC_STRUCTURE = numpy.dtype([
11 14 ('nSize','<u4'),
12 15 ('nVersion','<u2'),
@@ -222,12 +225,12 class RadarControllerHeader(Header):
222 225 rangeTxA = None
223 226 rangeTxB = None
224 227
225 __C = 3e8
228 __size = None
226 229
227 230 def __init__(self, expType=2, nTx=1,
228 231 ippKm=None, txA=0, txB=0,
229 232 nWindows=None, nHeights=None, firstHeight=None, deltaHeight=None,
230 numTaus=0, line6Function=0, line5Function=0, fClock=0,
233 numTaus=0, line6Function=0, line5Function=0, fClock=None,
231 234 prePulseBefore=0, prePulseAfter=0,
232 235 codeType=0, nCode=0, nBaud=0, code=None,
233 236 flip1=0, flip2=0):
@@ -265,6 +268,8 class RadarControllerHeader(Header):
265 268 self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4
266 269 # self.dynamic = numpy.array([],numpy.dtype('byte'))
267 270
271 if self.fClock is None and self.deltaHeight is not None:
272 self.fClock = 0.15/(deltaHeight*1e-6) #0.15Km / (height * 1u)
268 273
269 274 def read(self, fp):
270 275
@@ -272,7 +277,7 class RadarControllerHeader(Header):
272 277 startFp = fp.tell()
273 278 header = numpy.fromfile(fp,RADAR_STRUCTURE,1)
274 279
275 self.size = int(header['nSize'][0])
280 size = int(header['nSize'][0])
276 281 self.expType = int(header['nExpType'][0])
277 282 self.nTx = int(header['nNTx'][0])
278 283 self.ipp = float(header['fIpp'][0])
@@ -290,7 +295,7 class RadarControllerHeader(Header):
290 295 self.rangeTxA = header['sRangeTxA'][0]
291 296 self.rangeTxB = header['sRangeTxB'][0]
292 297 # jump Dynamic Radar Controller Header
293 # jumpFp = self.size - 116
298 # jumpFp = size - 116
294 299 # self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp)
295 300 #pointer backward to dynamic header and read
296 301 # backFp = fp.tell() - jumpFp
@@ -319,13 +324,13 class RadarControllerHeader(Header):
319 324 self.code = 2.0*self.code - 1.0
320 325 self.code_size = int(numpy.ceil(self.nBaud/32.))*self.nCode*4
321 326
322 if self.line5Function == RCfunction.FLIP:
323 self.flip1 = numpy.fromfile(fp,'<u4',1)
324
325 if self.line6Function == RCfunction.FLIP:
326 self.flip2 = numpy.fromfile(fp,'<u4',1)
327 # if self.line5Function == RCfunction.FLIP:
328 # self.flip1 = numpy.fromfile(fp,'<u4',1)
329 #
330 # if self.line6Function == RCfunction.FLIP:
331 # self.flip2 = numpy.fromfile(fp,'<u4',1)
327 332
328 endFp = self.size + startFp
333 endFp = size + startFp
329 334 jumpFp = endFp - fp.tell()
330 335 if jumpFp > 0:
331 336 fp.seek(jumpFp)
@@ -337,6 +342,7 class RadarControllerHeader(Header):
337 342 return 1
338 343
339 344 def write(self, fp):
345
340 346 headerTuple = (self.size,
341 347 self.expType,
342 348 self.nTx,
@@ -358,9 +364,6 class RadarControllerHeader(Header):
358 364 header = numpy.array(headerTuple,RADAR_STRUCTURE)
359 365 header.tofile(fp)
360 366
361 #dynamic = self.dynamic
362 #dynamic.tofile(fp)
363
364 367 sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin)
365 368 samplingWindow = numpy.array(sampleWindowTuple,SAMPLING_STRUCTURE)
366 369 samplingWindow.tofile(fp)
@@ -390,18 +393,18 class RadarControllerHeader(Header):
390 393 tempx = tempx.astype('u4')
391 394 tempx.tofile(fp)
392 395
393 if self.line5Function == RCfunction.FLIP:
394 self.flip1.tofile(fp)
395
396 if self.line6Function == RCfunction.FLIP:
397 self.flip2.tofile(fp)
396 # if self.line5Function == RCfunction.FLIP:
397 # self.flip1.tofile(fp)
398 #
399 # if self.line6Function == RCfunction.FLIP:
400 # self.flip2.tofile(fp)
398 401
399 402 return 1
400 403
401 404 def get_ippSeconds(self):
402 405 '''
403 406 '''
404 ippSeconds = 2.0 * 1000 * self.ipp / self.__C
407 ippSeconds = 2.0 * 1000 * self.ipp / SPEED_OF_LIGHT
405 408
406 409 return ippSeconds
407 410
@@ -409,11 +412,27 class RadarControllerHeader(Header):
409 412 '''
410 413 '''
411 414
412 self.ipp = ippSeconds * self.__C / (2.0*1000)
415 self.ipp = ippSeconds * SPEED_OF_LIGHT / (2.0*1000)
416
417 return
418
419 def get_size(self):
420
421 self.__size = 116 + 12*self.nWindows + 4*self.numTaus
422
423 if self.codeType != 0:
424 self.__size += 4 + 4 + 4*self.nCode*numpy.ceil(self.nBaud/32.)
425
426 return self.__size
427
428 def set_size(self, value):
429
430 self.__size = value
413 431
414 432 return
415 433
416 434 ippSeconds = property(get_ippSeconds, set_ippSeconds)
435 size = property(get_size, set_size)
417 436
418 437 class ProcessingHeader(Header):
419 438
@@ -581,6 +600,7 class nCodeType:
581 600 CODE_BINARY28=17
582 601
583 602 class PROCFLAG:
603
584 604 COHERENT_INTEGRATION = numpy.uint32(0x00000001)
585 605 DECODE_DATA = numpy.uint32(0x00000002)
586 606 SPECTRA_CALC = numpy.uint32(0x00000004)
@@ -616,3 +636,44 class PROCFLAG:
616 636 DATATYPE_MASK = numpy.uint32(0x00000FC0)
617 637 DATAARRANGE_MASK = numpy.uint32(0x00007000)
618 638 ACQ_SYS_MASK = numpy.uint32(0x001C0000)
639
640 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
641 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
642 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
643 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
644 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
645 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
646
647 NUMPY_DTYPE_LIST = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
648
649 PROCFLAG_DTYPE_LIST = [PROCFLAG.DATATYPE_CHAR,
650 PROCFLAG.DATATYPE_SHORT,
651 PROCFLAG.DATATYPE_LONG,
652 PROCFLAG.DATATYPE_INT64,
653 PROCFLAG.DATATYPE_FLOAT,
654 PROCFLAG.DATATYPE_DOUBLE]
655
656 DTYPE_WIDTH = [1, 2, 4, 8, 4, 8]
657
658 def get_dtype_index(numpy_dtype):
659
660 index = None
661
662 for i in range(len(NUMPY_DTYPE_LIST)):
663 if numpy_dtype == NUMPY_DTYPE_LIST[i]:
664 index = i
665 break
666
667 return index
668
669 def get_numpy_dtype(index):
670
671 return NUMPY_DTYPE_LIST[index]
672
673 def get_procflag_dtype(index):
674
675 return PROCFLAG_DTYPE_LIST[index]
676
677 def get_dtype_width(index):
678
679 return DTYPE_WIDTH[index] No newline at end of file
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@@ -19,6 +19,7 except:
19 19 from time import sleep
20 20
21 21 from schainpy.model.data.jroheaderIO import PROCFLAG, BasicHeader, SystemHeader, RadarControllerHeader, ProcessingHeader
22 from schainpy.model.data.jroheaderIO import get_dtype_index, get_numpy_dtype, get_procflag_dtype, get_dtype_width
22 23
23 24 LOCALTIME = True
24 25
@@ -365,6 +366,13 class JRODataIO:
365 366
366 367 raise ValueError, "Not implemented"
367 368
369 def getDtypeWidth(self):
370
371 dtype_index = get_dtype_index(self.dtype)
372 dtype_width = get_dtype_width(dtype_index)
373
374 return dtype_width
375
368 376 class JRODataReader(JRODataIO):
369 377
370 378 nReadBlocks = 0
@@ -872,12 +880,16 class JRODataReader(JRODataIO):
872 880 return 1
873 881
874 882 def readNextBlock(self):
883
875 884 if not(self.__setNewBlock()):
876 885 return 0
877 886
878 887 if not(self.readBlock()):
879 888 return 0
880 889
890 print "[Reading] Block No. %d/%d -> %s" %(self.basicHeaderObj.dataBlock+1,
891 self.processingHeaderObj.dataBlocksPerFile,
892 self.dataOut.datatime.ctime())
881 893 return 1
882 894
883 895 def __readFirstHeader(self):
@@ -1128,7 +1140,8 class JRODataReader(JRODataIO):
1128 1140
1129 1141 sys.exit(-1)
1130 1142
1131 # self.updateDataHeader()
1143 self.getBasicHeader()
1144
1132 1145 if last_set != None:
1133 1146 self.dataOut.last_block = last_set * self.processingHeaderObj.dataBlocksPerFile + self.basicHeaderObj.dataBlock
1134 1147 return
@@ -1183,7 +1196,10 class JRODataReader(JRODataIO):
1183 1196 def printNumberOfBlock(self):
1184 1197
1185 1198 if self.flagIsNewBlock:
1186 print "[Reading] Block No. %04d, Total blocks %04d -> %s" %(self.basicHeaderObj.dataBlock, self.nTotalBlocks, self.dataOut.datatime.ctime())
1199 print "[Reading] Block No. %d/%d -> %s" %(self.basicHeaderObj.dataBlock+1,
1200 self.processingHeaderObj.dataBlocksPerFile,
1201 self.dataOut.datatime.ctime())
1202
1187 1203 self.dataOut.blocknow = self.basicHeaderObj.dataBlock
1188 1204
1189 1205 def printInfo(self):
@@ -1248,6 +1264,36 class JRODataWriter(JRODataIO):
1248 1264 raise ValueError, "No implemented"
1249 1265
1250 1266
1267 def getProcessFlags(self):
1268
1269 processFlags = 0
1270
1271 dtype_index = get_dtype_index(self.dtype)
1272 procflag_dtype = get_procflag_dtype(dtype_index)
1273
1274 processFlags += procflag_dtype
1275
1276 if self.dataOut.flagDecodeData:
1277 processFlags += PROCFLAG.DECODE_DATA
1278
1279 if self.dataOut.flagDeflipData:
1280 processFlags += PROCFLAG.DEFLIP_DATA
1281
1282 if self.dataOut.code is not None:
1283 processFlags += PROCFLAG.DEFINE_PROCESS_CODE
1284
1285 if self.dataOut.nCohInt > 1:
1286 processFlags += PROCFLAG.COHERENT_INTEGRATION
1287
1288 if self.dataOut.type == "Spectra":
1289 if self.dataOut.nIncohInt > 1:
1290 processFlags += PROCFLAG.INCOHERENT_INTEGRATION
1291
1292 if self.dataOut.data_dc is not None:
1293 processFlags += PROCFLAG.SAVE_CHANNELS_DC
1294
1295 return processFlags
1296
1251 1297 def setBasicHeader(self):
1252 1298
1253 1299 self.basicHeaderObj.size = self.basicHeaderSize #bytes
@@ -1301,7 +1347,7 class JRODataWriter(JRODataIO):
1301 1347 self.radarControllerHeaderObj.write(self.fp)
1302 1348 self.processingHeaderObj.write(self.fp)
1303 1349
1304 self.dtype = self.dataOut.dtype
1350
1305 1351
1306 1352 def __setNewBlock(self):
1307 1353 """
@@ -1340,6 +1386,8 class JRODataWriter(JRODataIO):
1340 1386
1341 1387 self.writeBlock()
1342 1388
1389 print "[Writing] Block No. %d/%d" %(self.blockIndex, self.processingHeaderObj.dataBlocksPerFile)
1390
1343 1391 return 1
1344 1392
1345 1393 def setNextFile(self):
@@ -1409,20 +1457,27 class JRODataWriter(JRODataIO):
1409 1457
1410 1458 self.setFirstHeader()
1411 1459
1412 print '[Writing] file: %s'%self.filename
1460 print '[Writing] Opening file: %s'%self.filename
1413 1461
1414 1462 self.__writeFirstHeader()
1415 1463
1416 1464 return 1
1417 1465
1418 def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None):
1466 def setup(self, dataOut, path, blocksPerFile, profilesPerBlock=64, set=0, ext=None, datatype=2):
1419 1467 """
1420 1468 Setea el tipo de formato en la cual sera guardada la data y escribe el First Header
1421 1469
1422 1470 Inputs:
1423 path : el path destino en el cual se escribiran los files a crear
1424 format : formato en el cual sera salvado un file
1425 set : el setebo del file
1471 path : directory where data will be saved
1472 profilesPerBlock : number of profiles per block
1473 set : file set
1474 datatype : An integer number that defines data type:
1475 0 : int8 (1 byte)
1476 1 : int16 (2 bytes)
1477 2 : int32 (4 bytes)
1478 3 : int64 (8 bytes)
1479 4 : float (4 bytes)
1480 5 : double (8 bytes)
1426 1481
1427 1482 Return:
1428 1483 0 : Si no realizo un buen seteo
@@ -1446,6 +1501,12 class JRODataWriter(JRODataIO):
1446 1501
1447 1502 self.dataOut = dataOut
1448 1503
1504 #By default
1505 self.dtype = self.dataOut.dtype
1506
1507 if datatype is not None:
1508 self.dtype = get_numpy_dtype(datatype)
1509
1449 1510 if not(self.setNextFile()):
1450 1511 print "[Writing] There isn't a next file"
1451 1512 return 0
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@@ -274,6 +274,7 class SpectraReader(JRODataReader, ProcessingUnit):
274 274
275 275 # self.processingHeaderObj.shif_fft = True
276 276
277 #Dimensions : nChannels, nProfiles, nSamples
277 278 spc = numpy.transpose( spc, (0,2,1) )
278 279 self.data_spc = spc
279 280
@@ -298,6 +299,8 class SpectraReader(JRODataReader, ProcessingUnit):
298 299
299 300 def getFirstHeader(self):
300 301
302 self.getBasicHeader()
303
301 304 self.dataOut.systemHeaderObj = self.systemHeaderObj.copy()
302 305
303 306 self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
@@ -599,89 +602,27 class SpectraWriter(JRODataWriter, Operation):
599 602
600 603 return 1
601 604
602
603 def __getProcessFlags(self):
604
605 processFlags = 0
606
607 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
608 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
609 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
610 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
611 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
612 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
613
614 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
615
616
617
618 datatypeValueList = [PROCFLAG.DATATYPE_CHAR,
619 PROCFLAG.DATATYPE_SHORT,
620 PROCFLAG.DATATYPE_LONG,
621 PROCFLAG.DATATYPE_INT64,
622 PROCFLAG.DATATYPE_FLOAT,
623 PROCFLAG.DATATYPE_DOUBLE]
624
625
626 for index in range(len(dtypeList)):
627 if self.dataOut.dtype == dtypeList[index]:
628 dtypeValue = datatypeValueList[index]
629 break
630
631 processFlags += dtypeValue
632
633 if self.dataOut.flagDecodeData:
634 processFlags += PROCFLAG.DECODE_DATA
635
636 if self.dataOut.flagDeflipData:
637 processFlags += PROCFLAG.DEFLIP_DATA
638
639 if self.dataOut.code is not None:
640 processFlags += PROCFLAG.DEFINE_PROCESS_CODE
641
642 if self.dataOut.nIncohInt > 1:
643 processFlags += PROCFLAG.INCOHERENT_INTEGRATION
644
645 if self.dataOut.data_dc is not None:
646 processFlags += PROCFLAG.SAVE_CHANNELS_DC
647
648 return processFlags
649
650
651 605 def __getBlockSize(self):
652 606 '''
653 607 Este metodos determina el cantidad de bytes para un bloque de datos de tipo Spectra
654 608 '''
655 609
656 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
657 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
658 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
659 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
660 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
661 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
662
663 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
664 datatypeValueList = [1,2,4,8,4,8]
665 for index in range(len(dtypeList)):
666 if self.dataOut.dtype == dtypeList[index]:
667 datatypeValue = datatypeValueList[index]
668 break
669
610 dtype_width = self.getDtypeWidth()
670 611
671 612 pts2write = self.dataOut.nHeights * self.dataOut.nFFTPoints
672 613
673 614 pts2write_SelfSpectra = int(self.dataOut.nChannels * pts2write)
674 blocksize = (pts2write_SelfSpectra*datatypeValue)
615 blocksize = (pts2write_SelfSpectra*dtype_width)
675 616
676 617 if self.dataOut.data_cspc is not None:
677 618 pts2write_CrossSpectra = int(self.dataOut.nPairs * pts2write)
678 blocksize += (pts2write_CrossSpectra*datatypeValue*2)
619 blocksize += (pts2write_CrossSpectra*dtype_width*2)
679 620
680 621 if self.dataOut.data_dc is not None:
681 622 pts2write_DCchannels = int(self.dataOut.nChannels * self.dataOut.nHeights)
682 blocksize += (pts2write_DCchannels*datatypeValue*2)
623 blocksize += (pts2write_DCchannels*dtype_width*2)
683 624
684 blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO
625 # blocksize = blocksize #* datatypeValue * 2 #CORREGIR ESTO
685 626
686 627 return blocksize
687 628
@@ -714,7 +655,7 class SpectraWriter(JRODataWriter, Operation):
714 655 self.processingHeaderObj.profilesPerBlock = self.dataOut.nFFTPoints
715 656 self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
716 657 self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows
717 self.processingHeaderObj.processFlags = self.__getProcessFlags()
658 self.processingHeaderObj.processFlags = self.getProcessFlags()
718 659 self.processingHeaderObj.nCohInt = self.dataOut.nCohInt# Se requiere para determinar el valor de timeInterval
719 660 self.processingHeaderObj.nIncohInt = self.dataOut.nIncohInt
720 661 self.processingHeaderObj.totalSpectra = self.dataOut.nPairs + self.dataOut.nChannels
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@@ -225,6 +225,8 class VoltageReader(JRODataReader, ProcessingUnit):
225 225 junk = junk.reshape( (self.processingHeaderObj.profilesPerBlock, self.processingHeaderObj.nHeights, self.systemHeaderObj.nChannels) )
226 226 # return 0
227 227
228 #Dimensions : nChannels, nProfiles, nSamples
229
228 230 junk = numpy.transpose(junk, (2,0,1))
229 231 self.datablock = junk['real'] + junk['imag']*1j
230 232
@@ -240,6 +242,8 class VoltageReader(JRODataReader, ProcessingUnit):
240 242
241 243 def getFirstHeader(self):
242 244
245 self.getBasicHeader()
246
243 247 self.dataOut.systemHeaderObj = self.systemHeaderObj.copy()
244 248
245 249 self.dataOut.radarControllerHeaderObj = self.radarControllerHeaderObj.copy()
@@ -419,7 +423,7 class VoltageWriter(JRODataWriter, Operation):
419 423
420 424 self.flagIsNewFile = 1
421 425
422 self.nTotalBlocks = 0
426 self.blockIndex = 0
423 427
424 428 self.flagIsNewBlock = 0
425 429
@@ -536,71 +540,14 class VoltageWriter(JRODataWriter, Operation):
536 540
537 541 return 1
538 542
539 def __getProcessFlags(self):
540
541 processFlags = 0
542
543 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
544 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
545 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
546 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
547 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
548 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
549
550 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
551
552
553
554 datatypeValueList = [PROCFLAG.DATATYPE_CHAR,
555 PROCFLAG.DATATYPE_SHORT,
556 PROCFLAG.DATATYPE_LONG,
557 PROCFLAG.DATATYPE_INT64,
558 PROCFLAG.DATATYPE_FLOAT,
559 PROCFLAG.DATATYPE_DOUBLE]
560
561
562 for index in range(len(dtypeList)):
563 if self.dataOut.dtype == dtypeList[index]:
564 dtypeValue = datatypeValueList[index]
565 break
566
567 processFlags += dtypeValue
568
569 if self.dataOut.flagDecodeData:
570 processFlags += PROCFLAG.DECODE_DATA
571
572 if self.dataOut.flagDeflipData:
573 processFlags += PROCFLAG.DEFLIP_DATA
574
575 if self.dataOut.code is not None:
576 processFlags += PROCFLAG.DEFINE_PROCESS_CODE
577
578 if self.dataOut.nCohInt > 1:
579 processFlags += PROCFLAG.COHERENT_INTEGRATION
580
581 return processFlags
582
583
584 543 def __getBlockSize(self):
585 544 '''
586 545 Este metodos determina el cantidad de bytes para un bloque de datos de tipo Voltage
587 546 '''
588 547
589 dtype0 = numpy.dtype([('real','<i1'),('imag','<i1')])
590 dtype1 = numpy.dtype([('real','<i2'),('imag','<i2')])
591 dtype2 = numpy.dtype([('real','<i4'),('imag','<i4')])
592 dtype3 = numpy.dtype([('real','<i8'),('imag','<i8')])
593 dtype4 = numpy.dtype([('real','<f4'),('imag','<f4')])
594 dtype5 = numpy.dtype([('real','<f8'),('imag','<f8')])
595
596 dtypeList = [dtype0, dtype1, dtype2, dtype3, dtype4, dtype5]
597 datatypeValueList = [1,2,4,8,4,8]
598 for index in range(len(dtypeList)):
599 if self.dataOut.dtype == dtypeList[index]:
600 datatypeValue = datatypeValueList[index]
601 break
548 dtype_width = self.getDtypeWidth()
602 549
603 blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * datatypeValue * 2)
550 blocksize = int(self.dataOut.nHeights * self.dataOut.nChannels * self.profilesPerBlock * dtype_width * 2)
604 551
605 552 return blocksize
606 553
@@ -630,7 +577,7 class VoltageWriter(JRODataWriter, Operation):
630 577 self.processingHeaderObj.profilesPerBlock = self.profilesPerBlock
631 578 self.processingHeaderObj.dataBlocksPerFile = self.blocksPerFile
632 579 self.processingHeaderObj.nWindows = 1 #podria ser 1 o self.dataOut.processingHeaderObj.nWindows
633 self.processingHeaderObj.processFlags = self.__getProcessFlags()
580 self.processingHeaderObj.processFlags = self.getProcessFlags()
634 581 self.processingHeaderObj.nCohInt = self.dataOut.nCohInt
635 582 self.processingHeaderObj.nIncohInt = 1 # Cuando la data de origen es de tipo Voltage
636 583 self.processingHeaderObj.totalSpectra = 0 # Cuando la data de origen es de tipo Voltage
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