Commit 7eef0bac957a1a9bceb5f4fa8390a3cf48c9ed82

Authored by caveenj
1 parent 9c3dc88c
Exists in master and in 1 other branch odf2csvP3

Modifier odf2csv pour que la moyenne ne soit pas calculee automatiquement

Correction d'un bogue lors du moyennage ou on traitait les QQQQ ou QFFF pour les
moyennes
Ajout du fichier setup.py servant a faire une distribution (setup.py bdist)
src/convert_all.sh
@@ -6,5 +6,5 @@ cd ../test_data @@ -6,5 +6,5 @@ cd ../test_data
6 for ficin in *.ODF 6 for ficin in *.ODF
7 do 7 do
8 ficout=`basename ${ficin} .ODF` 8 ficout=`basename ${ficin} .ODF`
9 - ../src/odf2csv.py -i ${ficin} -o ${ficout}_all.csv --all 9 + ../src/odf2csv.py -i ${ficin} -o ${ficout}all.csv
10 done 10 done
src/convert_mean.sh
1 #!/bin/sh 1 #!/bin/sh
2 2
3 -#Convertir tous les fichiers odf en conservant  
4 -# toutes les donnees 3 +#Convertir tous les fichiers odf en
  4 +#moyennant au 10 metres en eliminitant douteux et erreurs
5 cd ../test_data 5 cd ../test_data
6 for ficin in *.ODF 6 for ficin in *.ODF
7 do 7 do
8 ficout=`basename ${ficin} .ODF` 8 ficout=`basename ${ficin} .ODF`
9 - ../src/odf2csv.py -i ${ficin} -o ${ficout}_mean.csv --mean 10 9 + ../src/odf2csv.py -i ${ficin} -o ${ficout}mean.csv --doubtfull --error --mean 10
10 done 10 done
src/odf2csv.py
1 #!/usr/bin/env python 1 #!/usr/bin/env python
  2 +#! python
2 3
3 ##################################### 4 #####################################
4 # 5 #
@@ -17,18 +18,18 @@ import math @@ -17,18 +18,18 @@ import math
17 from class_variable import variable 18 from class_variable import variable
18 import odf_fcns 19 import odf_fcns
19 20
20 -RemplacerDouteux = True  
21 -RemplacerErreur = True  
22 -CalculerMoyenne = True 21 +RemplacerDouteux = False
  22 +RemplacerErreur = False
  23 +CalculerMoyenne = False
23 intervalle = 1.0 24 intervalle = 1.0
24 #On recupere les parametres d'appel 25 #On recupere les parametres d'appel
25 26
26 try: 27 try:
27 opts,args = getopt.getopt(sys.argv[1:], \ 28 opts,args = getopt.getopt(sys.argv[1:], \
28 - 'i:o:m:deah',\ 29 + 'i:o:m:deh',\
29 ['input=','output=',\ 30 ['input=','output=',\
30 - 'mean=','all','error',\  
31 - 'douteux','help']) 31 + 'mean=','error',\
  32 + 'doubtfull','help'])
32 except getopt.error, msg: 33 except getopt.error, msg:
33 print msg 34 print msg
34 odf_fcns.usage() 35 odf_fcns.usage()
@@ -42,35 +43,31 @@ for o , a in opts: @@ -42,35 +43,31 @@ for o , a in opts:
42 43
43 elif o in ("-i","--input"): 44 elif o in ("-i","--input"):
44 if a in ("-i","--input","-o","--output","-d",\ 45 if a in ("-i","--input","-o","--output","-d",\
45 - "--douteux","-e","--error","-h","--help","--mean","-m",\  
46 - "-a","--all"): 46 + "--doubtfull","-e","--error","-h","--help","--mean","-m"):
47 odf_fcns.usage() 47 odf_fcns.usage()
48 sys.exit(2) 48 sys.exit(2)
49 49
50 fnomin = a 50 fnomin = a
51 elif o in ("-o","--output"): 51 elif o in ("-o","--output"):
52 if a in ("-i","--input","-o","--output","-d",\ 52 if a in ("-i","--input","-o","--output","-d",\
53 - "--douteux","-e","--error","-h","--help","--mean","-m",\  
54 - "-a","--all"): 53 + "--doubtfull","-e","--error","-h","--help","--mean","-m"):
55 odf_fcns.usage() 54 odf_fcns.usage()
56 sys.exit(2) 55 sys.exit(2)
57 56
58 fnomout = a 57 fnomout = a
59 elif o in ("-m","--mean"): 58 elif o in ("-m","--mean"):
60 if a in ("-i","--input","-o","--output","-d",\ 59 if a in ("-i","--input","-o","--output","-d",\
61 - "--douteux","-e","--error","-h","--help","--mean","-m",\  
62 - "-a","--all"): 60 + "--doubtfull","-e","--error","-h","--help","--mean","-m"):
63 odf_fcns.usage() 61 odf_fcns.usage()
64 sys.exit(2) 62 sys.exit(2)
65 63
66 intervalle = float(a) 64 intervalle = float(a)
  65 + CalculerMoyenne = True
67 66
68 - elif o in ("-d","--douteux"):  
69 - RemplacerDouteux = False 67 + elif o in ("-d","--doubtfull"):
  68 + RemplacerDouteux = True
70 elif o in ("-e","--error"): 69 elif o in ("-e","--error"):
71 - RemplacerErreur = False  
72 - elif o in ("-a","--all"):  
73 - CalculerMoyenne = False 70 + RemplacerErreur = True
74 else: 71 else:
75 print "Option inconnue" 72 print "Option inconnue"
76 odf_fcns.usage() 73 odf_fcns.usage()
@@ -354,34 +351,40 @@ if (CalculerMoyenne): @@ -354,34 +351,40 @@ if (CalculerMoyenne):
354 351
355 # Ici, on traite toutes les variables sauf PRES et DEPTH 352 # Ici, on traite toutes les variables sauf PRES et DEPTH
356 for var in varlist: 353 for var in varlist:
357 - if not DEPTH.search(var.getcode()) and not PRES.search(var.getcode()): 354 +
  355 + if not DEPTH.search(var.getcode()) and not PRES.search(var.getcode()) and \
  356 + not QCFF.search(var.getcode()) and not QQQQ.search(var.getcode()):
358 print "On traite:", var.getcode() 357 print "On traite:", var.getcode()
359 if(var_q.has_key(var)): 358 if(var_q.has_key(var)):
360 qualite = var_q.get(var) 359 qualite = var_q.get(var)
361 - mean_dat = []  
362 qualite_dat = [] 360 qualite_dat = []
363 361
364 - for k in range(num_depth):  
365 - sum_dat=0  
366 - n_dat=0  
367 - for i in range(var.getnbval()):  
368 - if float(profondeur.getvaleur(i)) > (depth[k]-intervalle/2.0) and \  
369 - float(profondeur.getvaleur(i)) <= (depth[k]+intervalle/2.0) and \  
370 - float(var.getvaleur(i)) > -99 :  
371 - sum_dat=sum_dat+ float(var.getvaleur(i))  
372 - n_dat=n_dat+1  
373 -  
374 - if n_dat == 0 :  
375 - mean_dat.append(-99.0)  
376 - else:  
377 - mean_dat.append(sum_dat/n_dat) 362 + mean_dat = []
  363 +
  364 +
  365 + for k in range(num_depth):
  366 + sum_dat=0
  367 + n_dat=0
  368 + for i in range(var.getnbval()):
  369 + if float(profondeur.getvaleur(i)) > (depth[k]-intervalle/2.0) and \
  370 + float(profondeur.getvaleur(i)) <= (depth[k]+intervalle/2.0) and \
  371 + float(var.getvaleur(i)) > -99 :
  372 + sum_dat=sum_dat+ float(var.getvaleur(i))
  373 + n_dat=n_dat+1
378 374
  375 + if n_dat == 0 :
  376 + mean_dat.append(-99.0)
  377 + else:
  378 + mean_dat.append(sum_dat/n_dat)
  379 +
  380 + if(var_q.has_key(var)):
379 if mean_dat[k] == -99: 381 if mean_dat[k] == -99:
380 qualite_dat.append(9) 382 qualite_dat.append(9)
381 elif mean_dat[k] > -99: 383 elif mean_dat[k] > -99:
382 qualite_dat.append(1) 384 qualite_dat.append(1)
383 385
384 - var.replaceallvaleurs(mean_dat) 386 + var.replaceallvaleurs(mean_dat)
  387 + if(var_q.has_key(var)):
385 qualite.replaceallvaleurs(qualite_dat) 388 qualite.replaceallvaleurs(qualite_dat)
386 389
387 390
@@ -391,31 +394,35 @@ if (CalculerMoyenne): @@ -391,31 +394,35 @@ if (CalculerMoyenne):
391 print "On traite:", var.getcode() 394 print "On traite:", var.getcode()
392 if(var_q.has_key(var)): 395 if(var_q.has_key(var)):
393 qualite = var_q.get(var) 396 qualite = var_q.get(var)
394 - mean_dat = []  
395 qualite_dat = [] 397 qualite_dat = []
396 - for k in range(num_depth):  
397 - sum_dat=0  
398 - n_dat=0  
399 - for i in range(var.getnbval()):  
400 - if DEPTH.search(var.getcode()):  
401 - sum_dat=sum_dat+depth[k]  
402 - n_dat=n_dat+1  
403 - elif PRES.search(var.getcode()):  
404 - sum_dat=sum_dat+odf_fcns.depth2pres(depth[k],float(init_lat))  
405 - n_dat=n_dat+1  
406 -  
407 -  
408 - if n_dat == 0 :  
409 - mean_dat.append(-99.0)  
410 - else:  
411 - mean_dat.append(sum_dat/n_dat)  
412 398
  399 + mean_dat = []
  400 +
  401 + for k in range(num_depth):
  402 + sum_dat=0
  403 + n_dat=0
  404 + for i in range(var.getnbval()):
  405 + if DEPTH.search(var.getcode()):
  406 + sum_dat=sum_dat+depth[k]
  407 + n_dat=n_dat+1
  408 + elif PRES.search(var.getcode()):
  409 + sum_dat=sum_dat+odf_fcns.depth2pres(depth[k],float(init_lat))
  410 + n_dat=n_dat+1
  411 +
  412 +
  413 + if n_dat == 0 :
  414 + mean_dat.append(-99.0)
  415 + else:
  416 + mean_dat.append(sum_dat/n_dat)
  417 +
  418 + if(var_q.has_key(var)):
413 if mean_dat[k] == -99: 419 if mean_dat[k] == -99:
414 qualite_dat.append(9) 420 qualite_dat.append(9)
415 elif mean_dat[k] > -99: 421 elif mean_dat[k] > -99:
416 qualite_dat.append(1) 422 qualite_dat.append(1)
417 423
418 - var.replaceallvaleurs(mean_dat) 424 + var.replaceallvaleurs(mean_dat)
  425 + if(var_q.has_key(var)):
419 qualite.replaceallvaleurs(qualite_dat) 426 qualite.replaceallvaleurs(qualite_dat)
420 427
421 428
@@ -485,9 +492,11 @@ fout.write(chaine) @@ -485,9 +492,11 @@ fout.write(chaine)
485 for i in range(varlist[0].getnbval()): 492 for i in range(varlist[0].getnbval()):
486 chaine ='' 493 chaine =''
487 for var in varlist: 494 for var in varlist:
  495 + print "var = ", var.getcode()
488 if CalculerMoyenne and QCFF.search(var.getcode()): 496 if CalculerMoyenne and QCFF.search(var.getcode()):
489 pass 497 pass
490 else: 498 else:
  499 + print "i = ", i
491 chaine = chaine + var.getvaleur(i) + '\t' 500 chaine = chaine + var.getvaleur(i) + '\t'
492 chaine = chaine + '\n' 501 chaine = chaine + '\n'
493 fout.write(chaine) 502 fout.write(chaine)
src/odf_fcns.py
@@ -56,10 +56,8 @@ def usage(): @@ -56,10 +56,8 @@ def usage():
56 print "ficout: fichier sortie (output file" 56 print "ficout: fichier sortie (output file"
57 print "interval : intervale de profondeurs pour donnees moyennees" 57 print "interval : intervale de profondeurs pour donnees moyennees"
58 print " (depth interval for mean data)" 58 print " (depth interval for mean data)"
59 - print "-a : toutes les donnees : ne pas moyenner"  
60 - print " (all data : do not average)"  
61 - print "-d : conserver donnees douteuses (keep data flaged as doubtfull)"  
62 - print "-e : conserver donnees erronnees (keep data flaged as erroneous)" 59 + print "-d : eliminer donnees douteuses (discard data flaged as doubtfull)"
  60 + print "-e : eliminer donnees erronnees (discard data flaged as erroneous)"
63 61
64 62
65 63
src/setup.py 0 → 100644
@@ -0,0 +1,10 @@ @@ -0,0 +1,10 @@
  1 +from distutils.core import setup
  2 +
  3 +auteur = "James Caveen"
  4 +nom="odf2csv"
  5 +ver="1.0"
  6 +
  7 +modules = ["class_variable","odf_fcns"]
  8 +script = ["odf2csv.py"]
  9 +
  10 +setup(name=nom,author=auteur,version=ver,py_modules = modules,scripts=script)
test_data/CTD_2005002_106_1_DN.odf 0 → 100755
@@ -0,0 +1,2391 @@ @@ -0,0 +1,2391 @@
  1 +ODF_HEADER,
  2 + FILE_SPECIFICATION = 'CTD_2005002_106_1_DN',
  3 +CRUISE_HEADER,
  4 + COUNTRY_INSTITUTE_CODE = 18QO,
  5 + CRUISE_NUMBER = '2005002',
  6 + ORGANIZATION = 'Québec-Océan',
  7 + CHIEF_SCIENTIST = 'Gary Stern',
  8 + START_DATE = '15-SEP-2005 00:00:00.00',
  9 + END_DATE = '27-OCT-2005 23:59:00.00',
  10 + PLATFORM = 'NGCC Amundsen',
  11 + CRUISE_NAME = 'ARCTICNET 0502',
  12 + CRUISE_DESCRIPTION = '',
  13 +EVENT_HEADER,
  14 + DATA_TYPE= 'CTD',
  15 + EVENT_NUMBER= '106',
  16 + EVENT_QUALIFIER1= '1',
  17 + EVENT_QUALIFIER2= 'DN',
  18 + CREATION_DATE= '08-MAR-2006 12:54:28.16',
  19 + ORIG_CREATION_DATE= '10-NOV-2005 14:50:59.00',
  20 + START_DATE_TIME= '11-OCT-2005 02:05:44.00',
  21 + END_DATE_TIME= '11-OCT-2005 02:11:00.00',
  22 + INITIAL_LATITUDE= 57.380667,
  23 + INITIAL_LONGITUDE= -92.000500,
  24 + END_LATITUDE= 57.382000,
  25 + END_LONGITUDE= -91.999200,
  26 + MIN_DEPTH= 2.11,
  27 + MAX_DEPTH= 11.54,
  28 + SAMPLING_INTERVAL= 0.0,
  29 + SOUNDING= 21.00,
  30 + DEPTH_OFF_BOTTOM= 9.46,
  31 + EVENT_COMMENTS= 'NaN',
  32 + EVENT_COMMENTS= 'NaN',
  33 + EVENT_COMMENTS= 'Station CTD30',
  34 +INSTRUMENT_HEADER,
  35 + INST_TYPE= 'Sea-Bird',
  36 + MODEL= 'SBE 9',
  37 + SERIAL_NUMBER= '4318',
  38 + DESCRIPTION= '0502106.dat 0502106.CON',
  39 +QUALITY_HEADER,
  40 + QUALITY_DATE= '08-MAR-2006 12:47:51.77',
  41 + QUALITY_TESTS= 'Test 1.1: GTSPP Platform Identification',
  42 + QUALITY_TESTS= 'Test 1.2: GTSPP Impossible Date/Time',
  43 + QUALITY_TESTS= 'Test 1.3: GTSPP Impossible Location',
  44 + QUALITY_TESTS= 'Test 1.4: GTSPP Position on Land',
  45 + QUALITY_TESTS= 'Test 1.5: GTSPP Impossible Speed',
  46 + QUALITY_TESTS= 'Test 5.1: GTSPP Cruise Track Visual Inspection',
  47 + QUALITY_TESTS= 'Test 2.0: IML Minimum Descent Rate (2) (0.10m/s)',
  48 + QUALITY_TESTS= 'Test 2.1: GTSPP Global Impossible Parameter Values (4)',
  49 + QUALITY_TESTS= 'Test 2.3: GTSPP Increasing Depth (16)',
  50 + QUALITY_TESTS= 'Test 2.4: GTSPP Profile Envelope (Temperature and Salinity) (32)',
  51 + QUALITY_TESTS= 'Test 2.6: GTSPP Freezing Point (128)',
  52 + QUALITY_TESTS= 'Test 2.7: GTSPP Spike in Temperature and Salinity (one point) (256)',
  53 + QUALITY_TESTS= 'Test 2.8: GTSPP Top and Bottom Spike in Temperature and Salinity (512)',
  54 + QUALITY_TESTS= 'Test 2.9: GTSPP Gradient in Temperature and Salinity (1024)',
  55 + QUALITY_TESTS= 'Test 2.11: IML Spike in Pressure, Temperature and Salinity (one point or more) (4096)',
  56 + QUALITY_TESTS= 'Test 5.2: GTSPP Profile Visual Inspection',
  57 + QUALITY_COMMENTS= 'QCFF values are derived from tests of GTSPP stage 2',
  58 + QUALITY_COMMENTS= 'A quality flag modified by hand has a QCFF value of 1',
  59 +GENERAL_CAL_HEADER,
  60 + PARAMETER_CODE= 'TE90_01',
  61 + CALIBRATION_TYPE= 'TEMP06',
  62 + CALIBRATION_DATE= '04-MAR-2005 00:00:00.00',
  63 + APPLICATION_DATE= '10-NOV-2005 14:50:59.00',
  64 + NUMBER_COEFFICIENTS= 7,
  65 + COEFFICIENTS= 4.41405175e-003 6.54587994e-004 2.34054489e-005 1.81652432e-006 1.00000000e+003 1.00000000e+000 0.00000000e+000 ,
  66 + CALIBRATION_EQUATION= 'TE90 = ( 1 / (C0 + C1*ln(C4/N) + C2*(ln(C4/N))^2 + C3*(ln(C4/N))^3) - 273.15)*C5 + C6',
  67 + CALIBRATION_COMMENTS= '',
  68 +GENERAL_CAL_HEADER,
  69 + PARAMETER_CODE= 'CNDC_01',
  70 + CALIBRATION_TYPE= 'COND04',
  71 + CALIBRATION_DATE= '11-MAR-2005 00:00:00.00',
  72 + APPLICATION_DATE= '10-NOV-2005 14:50:59.00',
  73 + NUMBER_COEFFICIENTS= 8,
  74 + COEFFICIENTS= -1.01615236e+001 1.39460731e+000 4.95445473e-004 2.79978203e-005 3.25000000e-006 -9.57000000e-008 1.00000000e+000 0.00000000e+000 ,
  75 + CALIBRATION_EQUATION= 'CNDC = ((C0 + C1*N^2 + C2*N^3 + C3*N^4)/(10(1+C4*TEMP+C5*PRES)))*C6 + C7',
  76 + CALIBRATION_COMMENTS= '',
  77 +GENERAL_CAL_HEADER,
  78 + PARAMETER_CODE= 'TRAN_01',
  79 + CALIBRATION_TYPE= 'TRANS02',
  80 + CALIBRATION_DATE= '20-APR-2005 00:00:00.00',
  81 + APPLICATION_DATE= '10-NOV-2005 14:50:59.00',
  82 + NUMBER_COEFFICIENTS= 3,
  83 + COEFFICIENTS= -1.24690000e+000 2.18758000e+001 2.50000000e-001 ,
  84 + CALIBRATION_EQUATION= 'TRAN = C0 + C1*N',
  85 + CALIBRATION_COMMENTS= '',
  86 +GENERAL_CAL_HEADER,
  87 + PARAMETER_CODE= 'PSAR_01',
  88 + CALIBRATION_TYPE= 'PSAR01',
  89 + CALIBRATION_DATE= '18-MAR-2005 00:00:00.00',
  90 + APPLICATION_DATE= '10-NOV-2005 14:50:59.00',
  91 + NUMBER_COEFFICIENTS= 4,
  92 + COEFFICIENTS= 1.00000000e+000 1.86219700e+011 0.00000000e+000 1.00000000e+000 ,
  93 + CALIBRATION_EQUATION= 'PSAR = (C0/C1)*(10^9*10^((N-C2)/C3))',
  94 + CALIBRATION_COMMENTS= '',
  95 +GENERAL_CAL_HEADER,
  96 + PARAMETER_CODE= 'DOXY_01',
  97 + CALIBRATION_TYPE= 'OXY03',
  98 + CALIBRATION_DATE= '20-DEC-2005 00:00:00.00',
  99 + APPLICATION_DATE= '10-NOV-2005 14:50:59.00',
  100 + NUMBER_COEFFICIENTS= 5,
  101 + COEFFICIENTS= 4.28920000e-001 -4.62300000e-001 0.00000000e+000 4.00000000e-004 1.35000000e-004 ,
  102 + CALIBRATION_EQUATION= 'DOXY = [C0*(OXV_+C1)+ C2*exp(-0.03*TEMP)]*exp(C3*TEMP)*OXSAT(TEMP,PSAL)*exp(C4*PRES)',
  103 + CALIBRATION_COMMENTS= 'CTD O2 calibrated with Winkler titrations',
  104 + CALIBRATION_COMMENTS= 'Soc value modified; original value=0.4122',
  105 + CALIBRATION_COMMENTS= 'Voffset value modified; original value=-0.4721',
  106 +HISTORY_HEADER,
  107 + CREATION_DATE= '21-DEC-2005 11:10:10.00',
  108 + PROCESS= '* Sea-Bird SBE 9 Data File:',
  109 + PROCESS= '* FileName = C:\missions\ArcticNet\Leg2\data\raw\0502106.dat',
  110 + PROCESS= '* Software Version Seasave Win32 V 5.32',
  111 + PROCESS= '* Temperature SN = 4318',
  112 + PROCESS= '* Conductivity SN = 2876',
  113 + PROCESS= '* Number of Bytes Per Scan = 40',
  114 + PROCESS= '* Number of Voltage Words = 5',
  115 + PROCESS= '* Number of Scans Averaged by the Deck Unit = 1',
  116 + PROCESS= '* System UpLoad Time = Oct 11 2005 02:05:44',
  117 + PROCESS= '* NMEA Latitude = 57 22.84 N',
  118 + PROCESS= '* NMEA Longitude = 092 00.03 W',
  119 + PROCESS= '* NMEA UTC (Time) = 02:05:34',
  120 + PROCESS= '* Store Lat/Lon Data = Append to Every Scan',
  121 + PROCESS= '** Ship: NGCC Amundsen',
  122 + PROCESS= '** Cruise: 0502 ArcticNet',
  123 + PROCESS= '** Station:',
  124 + PROCESS= '** Latitude:',
  125 + PROCESS= '** Longitude:',
  126 + PROCESS= '# nquan = 16',
  127 + PROCESS= '# nvalues = 3699',
  128 + PROCESS= '# units = specified',
  129 + PROCESS= '# name 0 = scan: Scan Count',
  130 + PROCESS= '# name 1 = prDM: Pressure, Digiquartz [db]',
  131 + PROCESS= '# name 2 = t090C: Temperature [ITS-90, deg C]',
  132 + PROCESS= '# name 3 = c0mS/cm: Conductivity [mS/cm]',
  133 + PROCESS= '# name 4 = sbeox0V: Oxygen Voltage, SBE 43',
  134 + PROCESS= '# name 5 = flSP: Fluorescence, Seapoint',
  135 + PROCESS= '# name 6 = ph: pH',
  136 + PROCESS= '# name 7 = xmiss: Beam Transmission, Chelsea/Seatech/Wetlab CStar [%]',
  137 + PROCESS= '# name 8 = par: PAR/Irradiance, Biospherical/Licor',
  138 + PROCESS= '# name 9 = spar: SPAR/Surface Irradiance',
  139 + PROCESS= '# name 10 = upoly0: Upoly 0, User Polynomial',
  140 + PROCESS= '# name 11 = sal00: Salinity [PSU]',
  141 + PROCESS= '# name 12 = sigma-t00: Density [sigma-t, Kg/m^3 ]',
  142 + PROCESS= '# name 13 = sbeox0ML/L: Oxygen, SBE 43 [ml/l]',
  143 + PROCESS= '# name 14 = dz/dtM: Descent Rate [m/s]',
  144 + PROCESS= '# name 15 = flag:',
  145 + PROCESS= '# span 0 = 4630, 8328',
  146 + PROCESS= '# span 1 = 0.729, 11.647',
  147 + PROCESS= '# span 2 = 5.3868, 5.5262',
  148 + PROCESS= '# span 3 = 26.120723, 28.132626',
  149 + PROCESS= '# span 4 = 2.7021, 2.7179',
  150 + PROCESS= '# span 5 = 2.1978e-01, 5.8608e-01',
  151 + PROCESS= '# span 6 = 7.763, 7.773',
  152 + PROCESS= '# span 7 = 42.0506, 81.3683',
  153 + PROCESS= '# span 8 = 1.7043e-02, 9.2650e-01',
  154 + PROCESS= '# span 9 = 1.8294e+00, 1.8294e+00',
  155 + PROCESS= '# span 10 = 5.9912205, 7.5909695',
  156 + PROCESS= '# span 11 = 26.2183, 28.5346',
  157 + PROCESS= '# span 12 = 20.6712, 22.5114',
  158 + PROCESS= '# span 13 = 7.06531, 7.19327',
  159 + PROCESS= '# span 14 = -0.872, 0.672',
  160 + PROCESS= '# span 15 = 0.0000e+00, 0.0000e+00',
  161 + PROCESS= '# interval = seconds: 0.0416667',
  162 + PROCESS= '# start_time = Oct 11 2005 02:05:44',
  163 + PROCESS= '# bad_flag = -9.990e-29',
  164 + PROCESS= '# sensor 0 = Frequency 0 temperature, primary, 4318, 04-Mar-2005',
  165 + PROCESS= '# sensor 1 = Frequency 1 conductivity, primary, 2876, 11-Mar-2005, cpcor = -9.5700e-08',
  166 + PROCESS= '# sensor 2 = Frequency 2 pressure, 0679-88911',
  167 + PROCESS= '# sensor 3 = Frequency 3 temperature, secondary, 4204, 04-Mar-2005',
  168 + PROCESS= '# sensor 4 = Frequency 4 conductivity, secondary, 2696, 02-Mar-2005, cpcor = -9.5700e-08',
  169 + PROCESS= '# sensor 5 = Extrnl Volt 0 Oxygen, SBE, primary, 0240',
  170 + PROCESS= '# sensor 6 = Extrnl Volt 1 pH, 0444',
  171 + PROCESS= '# sensor 7 = Extrnl Volt 2 Fluorometer, Seapoint, primary',
  172 + PROCESS= '# sensor 8 = Extrnl Volt 3 transmissometer, primary, CST-671DR, 20-Apr-2005',
  173 + PROCESS= '# sensor 9 = Extrnl Volt 4 altimeter',
  174 + PROCESS= '# sensor 10 = Extrnl Volt 5 irradiance (PAR), primary, 4664, 18-Mar-2005',
  175 + PROCESS= '# sensor 11 = Extrnl Volt 6 userpoly 0, 15',
  176 + PROCESS= '# sensor 12 = Extrnl Volt 7 userpoly 1, 15',
  177 + PROCESS= '# sensor 13 = Extrnl Volt 9 surface irradiance (SPAR), degrees = 0.0',
  178 + PROCESS= '# datcnv_date = Nov 10 2005 14:50:59, 5.37a',
  179 + PROCESS= '# datcnv_in = D:\missions\0502_ArcticNet\data\00_raw\0502106.dat D:\missions\0502_ArcticNet\data\00_raw\0502106.CON',
  180 + PROCESS= '# datcnv_skipover = 0',
  181 + PROCESS= '# filter_date = Dec 20 2005 10:13:08, 5.37a',
  182 + PROCESS= '# filter_in = D:\missions\0502_ArcticNet\data\01_datcnv\newcnv\0502106.cnv',
  183 + PROCESS= '# filter_low_pass_tc_A = 0.030',
  184 + PROCESS= '# filter_low_pass_tc_B = 0.150',
  185 + PROCESS= '# filter_low_pass_A_vars =',
  186 + PROCESS= '# filter_low_pass_B_vars = prDM',
  187 + PROCESS= '# alignctd_date = Dec 20 2005 11:56:53, 5.37a',
  188 + PROCESS= '# alignctd_in = D:\missions\0502_ArcticNet\data\02_processing\0502106.cnv',
  189 + PROCESS= '# alignctd_adv = sbeox0V 7.000',
  190 + PROCESS= '# celltm_date = Dec 20 2005 14:14:18, 5.37a',
  191 + PROCESS= '# celltm_in = D:\missions\0502_ArcticNet\data\02_processing\0502106.cnv',
  192 + PROCESS= '# celltm_alpha = 0.0300, 0.0000',
  193 + PROCESS= '# celltm_tau = 7.0000, 0.0000',
  194 + PROCESS= '# celltm_temp_sensor_use_for_cond = primary,',
  195 + PROCESS= '# loopedit_date = Dec 20 2005 14:28:29, 5.37a',
  196 + PROCESS= '# loopedit_in = D:\missions\0502_ArcticNet\data\02_processing\0502106.cnv',
  197 + PROCESS= '# loopedit_minVelocity = 0.100',
  198 + PROCESS= '# loopedit_surfaceSoak: do not remove',
  199 + PROCESS= '# loopedit_excl_bad_scans = yes',
  200 + PROCESS= '# Derive_date = Dec 20 2005 14:49:31, 5.37a',
  201 + PROCESS= '# Derive_in = D:\missions\0502_ArcticNet\data\02_processing\0502106.cnv D:\missions\0502_ArcticNet\data\02_processing\0502106.CON',
  202 + PROCESS= '# derive_time_window_docdt = seconds: 2',
  203 + PROCESS= '# derive_time_window_dzdt = seconds: 1',
  204 + PROCESS= '# strip_date = Dec 21 2005 11:10:10, 5.37a',
  205 + PROCESS= '# strip_in = D:\missions\0502_ArcticNet\data\03_derive\0502106.cnv',
  206 + PROCESS= '# file_type = ascii',
  207 + PROCESS= '*END*',
  208 +HISTORY_HEADER,
  209 + CREATION_DATE= '21-DEC-2005 13:41:54.63',
  210 + PROCESS= 'Conversion from CNV to ODF',
  211 + PROCESS= 'The code of Parameter `Sea Pressure (sea surface - 0)´ will be changed to: `PRES_02´.',
  212 + PROCESS= 'Add_Parameter: A.Data.PRES_02 = evalin('caller',' S(i).Data.PRES_01 - 1.66');',
  213 +PARAMETER_HEADER,
  214 + TYPE= 'DOUB',
  215 + NAME= 'Counter',
  216 + UNITS= '(none)',
  217 + CODE= 'CNTR_01',
  218 + NULL_VALUE= -9.900000E+001,
  219 + PRINT_FIELD_WIDTH= 10,
  220 + PRINT_DECIMAL_PLACES= 0,
  221 + ANGLE_OF_SECTION= 0.000000,
  222 + MAGNETIC_VARIATION= 0.000000,
  223 + DEPTH= 0.000000 ,
  224 + MINIMUM_VALUE= 4630,
  225 + MAXIMUM_VALUE= 6471,
  226 + NUMBER_VALID= 1842,
  227 + NUMBER_NULL= 0,
  228 +PARAMETER_HEADER,
  229 + TYPE= 'DOUB',
  230 + NAME= 'Sea Pressure (sea surface - 0)',
  231 + UNITS= 'decibars',
  232 + CODE= 'PRES_01',
  233 + NULL_VALUE= -9.900000E+001,
  234 + PRINT_FIELD_WIDTH= 10,
  235 + PRINT_DECIMAL_PLACES= 3,
  236 + ANGLE_OF_SECTION= 0.000000,
  237 + MAGNETIC_VARIATION= 0.000000,
  238 + DEPTH= 0.000000 ,
  239 + MINIMUM_VALUE= 2.13,
  240 + MAXIMUM_VALUE= 11.647,
  241 + NUMBER_VALID= 1842,
  242 + NUMBER_NULL= 0,
  243 +PARAMETER_HEADER,
  244 + TYPE= 'DOUB',
  245 + NAME= 'Quality flag: Sea Pressure (sea surface - 0)',
  246 + UNITS= 'none',
  247 + CODE= 'QQQQ_01',
  248 + NULL_VALUE= -9.900000E+001,
  249 + PRINT_FIELD_WIDTH= 1,
  250 + PRINT_DECIMAL_PLACES= 0,
  251 + ANGLE_OF_SECTION= 0.000000,
  252 + MAGNETIC_VARIATION= 0.000000,
  253 + DEPTH= 0.000000 ,
  254 + MINIMUM_VALUE= 1,
  255 + MAXIMUM_VALUE= 3,
  256 + NUMBER_VALID= 1842,
  257 + NUMBER_NULL= 0,
  258 +PARAMETER_HEADER,
  259 + TYPE= 'DOUB',
  260 + NAME= 'Temperature (1990 scale)',
  261 + UNITS= 'degrees C',
  262 + CODE= 'TE90_01',
  263 + NULL_VALUE= -9.900000E+001,
  264 + PRINT_FIELD_WIDTH= 10,
  265 + PRINT_DECIMAL_PLACES= 4,
  266 + ANGLE_OF_SECTION= 0.000000,
  267 + MAGNETIC_VARIATION= 0.000000,
  268 + DEPTH= 0.000000 ,
  269 + MINIMUM_VALUE= 5.3868,
  270 + MAXIMUM_VALUE= 5.5262,
  271 + NUMBER_VALID= 1842,
  272 + NUMBER_NULL= 0,
  273 +PARAMETER_HEADER,
  274 + TYPE= 'DOUB',
  275 + NAME= 'Quality flag: Temperature (1990 scale)',
  276 + UNITS= 'none',
  277 + CODE= 'QQQQ_02',
  278 + NULL_VALUE= -9.900000E+001,
  279 + PRINT_FIELD_WIDTH= 1,
  280 + PRINT_DECIMAL_PLACES= 0,
  281 + ANGLE_OF_SECTION= 0.000000,
  282 + MAGNETIC_VARIATION= 0.000000,
  283 + DEPTH= 0.000000 ,
  284 + MINIMUM_VALUE= 1,
  285 + MAXIMUM_VALUE= 3,
  286 + NUMBER_VALID= 1842,
  287 + NUMBER_NULL= 0,
  288 +PARAMETER_HEADER,
  289 + TYPE= 'DOUB',
  290 + NAME= 'Electrical Conductivity',
  291 + UNITS= 'mhos/m',
  292 + CODE= 'CNDC_01',
  293 + NULL_VALUE= -9.900000E+001,
  294 + PRINT_FIELD_WIDTH= 10,
  295 + PRINT_DECIMAL_PLACES= 6,
  296 + ANGLE_OF_SECTION= 0.000000,
  297 + MAGNETIC_VARIATION= 0.000000,
  298 + DEPTH= 0.000000 ,
  299 + MINIMUM_VALUE= 2.6121,
  300 + MAXIMUM_VALUE= 2.7987,
  301 + NUMBER_VALID= 1842,
  302 + NUMBER_NULL= 0,
  303 +PARAMETER_HEADER,
  304 + TYPE= 'DOUB',
  305 + NAME= 'raw oxygen volts',
  306 + UNITS= 'volts',
  307 + CODE= 'OXV__01',
  308 + NULL_VALUE= -9.900000E+001,
  309 + PRINT_FIELD_WIDTH= 10,
  310 + PRINT_DECIMAL_PLACES= 4,
  311 + ANGLE_OF_SECTION= 0.000000,
  312 + MAGNETIC_VARIATION= 0.000000,
  313 + DEPTH= 0.000000 ,
  314 + MINIMUM_VALUE= 2.7021,
  315 + MAXIMUM_VALUE= 2.7179,
  316 + NUMBER_VALID= 1842,
  317 + NUMBER_NULL= 0,
  318 +PARAMETER_HEADER,
  319 + TYPE= 'DOUB',
  320 + NAME= 'Fluorescence',
  321 + UNITS= 'mg/m**3',
  322 + CODE= 'FLOR_01',
  323 + NULL_VALUE= -9.900000E+001,
  324 + PRINT_FIELD_WIDTH= 10,
  325 + PRINT_DECIMAL_PLACES= 4,
  326 + ANGLE_OF_SECTION= 0.000000,
  327 + MAGNETIC_VARIATION= 0.000000,
  328 + DEPTH= 0.000000 ,
  329 + MINIMUM_VALUE= 0.21978,
  330 + MAXIMUM_VALUE= 0.58608,
  331 + NUMBER_VALID= 1842,
  332 + NUMBER_NULL= 0,
  333 +PARAMETER_HEADER,
  334 + TYPE= 'DOUB',
  335 + NAME= 'Hydrogen Ion Concentration (pH)',
  336 + UNITS= '(none)',
  337 + CODE= 'PHPH_01',
  338 + NULL_VALUE= -9.900000E+001,
  339 + PRINT_FIELD_WIDTH= 10,
  340 + PRINT_DECIMAL_PLACES= 3,
  341 + ANGLE_OF_SECTION= 0.000000,
  342 + MAGNETIC_VARIATION= 0.000000,
  343 + DEPTH= 0.000000 ,
  344 + MINIMUM_VALUE= 7.764,
  345 + MAXIMUM_VALUE= 7.773,
  346 + NUMBER_VALID= 1842,
  347 + NUMBER_NULL= 0,
  348 +PARAMETER_HEADER,
  349 + TYPE= 'DOUB',
  350 + NAME= 'Light Transmission',
  351 + UNITS= '%',
  352 + CODE= 'TRAN_01',
  353 + NULL_VALUE= -9.900000E+001,
  354 + PRINT_FIELD_WIDTH= 10,
  355 + PRINT_DECIMAL_PLACES= 2,
  356 + ANGLE_OF_SECTION= 0.000000,
  357 + MAGNETIC_VARIATION= 0.000000,
  358 + DEPTH= 0.000000 ,
  359 + MINIMUM_VALUE= 69.2952,
  360 + MAXIMUM_VALUE= 80.6471,
  361 + NUMBER_VALID= 1842,
  362 + NUMBER_NULL= 0,
  363 +PARAMETER_HEADER,
  364 + TYPE= 'DOUB',
  365 + NAME= 'Photosynthetic Active Radiation',
  366 + UNITS= 'ueinsteins/s/m**2',
  367 + CODE= 'PSAR_01',
  368 + NULL_VALUE= -9.900000E+001,
  369 + PRINT_FIELD_WIDTH= 10,
  370 + PRINT_DECIMAL_PLACES= 3,
  371 + ANGLE_OF_SECTION= 0.000000,
  372 + MAGNETIC_VARIATION= 0.000000,
  373 + DEPTH= 0.000000 ,
  374 + MINIMUM_VALUE= 0.017043,
  375 + MAXIMUM_VALUE= 0.70329,
  376 + NUMBER_VALID= 1842,
  377 + NUMBER_NULL= 0,
  378 +PARAMETER_HEADER,
  379 + TYPE= 'DOUB',
  380 + NAME= 'Surface Photosynthetic Active Radiation',
  381 + UNITS= 'µeinsteins/s/m^2',
  382 + CODE= 'SPAR_01',
  383 + NULL_VALUE= -9.900000E+001,
  384 + PRINT_FIELD_WIDTH= 10,
  385 + PRINT_DECIMAL_PLACES= 3,
  386 + ANGLE_OF_SECTION= 0.000000,
  387 + MAGNETIC_VARIATION= 0.000000,
  388 + DEPTH= 0.000000 ,
  389 + MINIMUM_VALUE= 1.8294,
  390 + MAXIMUM_VALUE= 1.8294,
  391 + NUMBER_VALID= 1842,
  392 + NUMBER_NULL= 0,
  393 +PARAMETER_HEADER,
  394 + TYPE= 'DOUB',
  395 + NAME= 'Nitrate (NO3-N) Content',
  396 + UNITS= 'mmol/m**3',
  397 + CODE= 'NTRA_01',
  398 + NULL_VALUE= -9.900000E+001,
  399 + PRINT_FIELD_WIDTH= 10,
  400 + PRINT_DECIMAL_PLACES= 3,
  401 + ANGLE_OF_SECTION= 0.000000,
  402 + MAGNETIC_VARIATION= 0.000000,
  403 + DEPTH= 0.000000 ,
  404 + MINIMUM_VALUE= 6.2735,
  405 + MAXIMUM_VALUE= 7.5596,
  406 + NUMBER_VALID= 1842,
  407 + NUMBER_NULL= 0,
  408 +PARAMETER_HEADER,
  409 + TYPE= 'DOUB',
  410 + NAME= 'Practical Salinity',
  411 + UNITS= 'psu',
  412 + CODE= 'PSAL_01',
  413 + NULL_VALUE= -9.900000E+001,
  414 + PRINT_FIELD_WIDTH= 10,
  415 + PRINT_DECIMAL_PLACES= 4,
  416 + ANGLE_OF_SECTION= 0.000000,
  417 + MAGNETIC_VARIATION= 0.000000,
  418 + DEPTH= 0.000000 ,
  419 + MINIMUM_VALUE= 26.2183,
  420 + MAXIMUM_VALUE= 28.3808,
  421 + NUMBER_VALID= 1842,
  422 + NUMBER_NULL= 0,
  423 +PARAMETER_HEADER,
  424 + TYPE= 'DOUB',
  425 + NAME= 'Quality flag: Practical Salinity',
  426 + UNITS= 'none',
  427 + CODE= 'QQQQ_03',
  428 + NULL_VALUE= -9.900000E+001,
  429 + PRINT_FIELD_WIDTH= 1,
  430 + PRINT_DECIMAL_PLACES= 0,
  431 + ANGLE_OF_SECTION= 0.000000,
  432 + MAGNETIC_VARIATION= 0.000000,
  433 + DEPTH= 0.000000 ,
  434 + MINIMUM_VALUE= 1,
  435 + MAXIMUM_VALUE= 3,
  436 + NUMBER_VALID= 1842,
  437 + NUMBER_NULL= 0,
  438 +PARAMETER_HEADER,
  439 + TYPE= 'DOUB',
  440 + NAME= 'Sigma-T',
  441 + UNITS= 'kg/m**3',
  442 + CODE= 'SIGT_01',
  443 + NULL_VALUE= -9.900000E+001,
  444 + PRINT_FIELD_WIDTH= 10,
  445 + PRINT_DECIMAL_PLACES= 4,
  446 + ANGLE_OF_SECTION= 0.000000,
  447 + MAGNETIC_VARIATION= 0.000000,
  448 + DEPTH= 0.000000 ,
  449 + MINIMUM_VALUE= 20.6712,
  450 + MAXIMUM_VALUE= 22.391,
  451 + NUMBER_VALID= 1842,
  452 + NUMBER_NULL= 0,
  453 +PARAMETER_HEADER,
  454 + TYPE= 'DOUB',
  455 + NAME= 'Quality flag: Sigma-T',
  456 + UNITS= 'none',
  457 + CODE= 'QQQQ_04',
  458 + NULL_VALUE= -9.900000E+001,
  459 + PRINT_FIELD_WIDTH= 1,
  460 + PRINT_DECIMAL_PLACES= 0,
  461 + ANGLE_OF_SECTION= 0.000000,
  462 + MAGNETIC_VARIATION= 0.000000,
  463 + DEPTH= 0.000000 ,
  464 + MINIMUM_VALUE= 1,
  465 + MAXIMUM_VALUE= 3,
  466 + NUMBER_VALID= 1842,
  467 + NUMBER_NULL= 0,
  468 +PARAMETER_HEADER,
  469 + TYPE= 'DOUB',
  470 + NAME= 'Dissolved Oxygen',
  471 + UNITS= 'ml/l',
  472 + CODE= 'DOXY_01',
  473 + NULL_VALUE= -9.900000E+001,
  474 + PRINT_FIELD_WIDTH= 10,
  475 + PRINT_DECIMAL_PLACES= 3,
  476 + ANGLE_OF_SECTION= 0.000000,
  477 + MAGNETIC_VARIATION= 0.000000,
  478 + DEPTH= 0.000000 ,
  479 + MINIMUM_VALUE= 7.0711,
  480 + MAXIMUM_VALUE= 7.1933,
  481 + NUMBER_VALID= 1842,
  482 + NUMBER_NULL= 0,
  483 +PARAMETER_HEADER,
  484 + TYPE= 'DOUB',
  485 + NAME= 'Quality flag: Dissolved Oxygen',
  486 + UNITS= 'none',
  487 + CODE= 'QQQQ_05',
  488 + NULL_VALUE= -9.900000E+001,
  489 + PRINT_FIELD_WIDTH= 1,
  490 + PRINT_DECIMAL_PLACES= 0,
  491 + ANGLE_OF_SECTION= 0.000000,
  492 + MAGNETIC_VARIATION= 0.000000,
  493 + DEPTH= 0.000000 ,
  494 + MINIMUM_VALUE= 1,
  495 + MAXIMUM_VALUE= 3,
  496 + NUMBER_VALID= 1842,
  497 + NUMBER_NULL= 0,
  498 +PARAMETER_HEADER,
  499 + TYPE= 'DOUB',
  500 + NAME= 'Lowering Rate',
  501 + UNITS= 'metres/sec',
  502 + CODE= 'DPDT_01',
  503 + NULL_VALUE= -9.900000E+001,
  504 + PRINT_FIELD_WIDTH= 10,
  505 + PRINT_DECIMAL_PLACES= 3,
  506 + ANGLE_OF_SECTION= 0.000000,
  507 + MAGNETIC_VARIATION= 0.000000,
  508 + DEPTH= 0.000000 ,
  509 + MINIMUM_VALUE= -0.026,
  510 + MAXIMUM_VALUE= 0.672,
  511 + NUMBER_VALID= 1842,
  512 + NUMBER_NULL= 0,
  513 +PARAMETER_HEADER,
  514 + TYPE= 'DOUB',
  515 + NAME= 'Quality flag: QCFF',
  516 + UNITS= 'none',
  517 + CODE= 'QCFF_01',
  518 + NULL_VALUE= -9.900000E+001,
  519 + PRINT_FIELD_WIDTH= 2,
  520 + PRINT_DECIMAL_PLACES= 0,
  521 + ANGLE_OF_SECTION= 0.000000,
  522 + MAGNETIC_VARIATION= 0.000000,
  523 + DEPTH= 0.000000 ,
  524 + MINIMUM_VALUE= 0,
  525 + MAXIMUM_VALUE= 19,
  526 + NUMBER_VALID= 1842,
  527 + NUMBER_NULL= 0,
  528 +PARAMETER_HEADER,
  529 + TYPE= 'SING',
  530 + NAME= 'Sea Pressure (sea surface - 0)',
  531 + UNITS= 'decibars',
  532 + CODE= 'PRES_02',
  533 + NULL_VALUE= -99.00,
  534 + PRINT_FIELD_WIDTH= 10,
  535 + PRINT_DECIMAL_PLACES= 3,
  536 + ANGLE_OF_SECTION= 0.000000,
  537 + MAGNETIC_VARIATION= 0.000000,
  538 + DEPTH= 0.000000 ,
  539 + MINIMUM_VALUE= 0.47,
  540 + MAXIMUM_VALUE= 9.987,
  541 + NUMBER_VALID= 1842,
  542 + NUMBER_NULL= 0,
  543 +RECORD_HEADER,
  544 + NUM_CALIBRATION= 5,
  545 + NUM_SWING= 0,
  546 + NUM_HISTORY= 2,
  547 + NUM_CYCLE= 1842,
  548 + NUM_PARAM= 22,
  549 + -- DATA --
  550 + 4630 2.130 1 5.5210 1 2.612344 2.7179 0.4762 7.768 69.30 0.678 1.829 7.465 26.2213 3 20.6735 3 7.193 1 0.000 1 0.470
  551 + 4631 2.139 1 5.5207 1 2.612371 2.7167 0.4762 7.773 69.30 0.676 1.829 7.465 26.2218 3 20.6739 3 7.189 1 0.000 1 0.479
  552 + 4632 2.149 1 5.5208 1 2.612288 2.7179 0.5128 7.773 69.32 0.676 1.829 7.465 26.2208 3 20.6731 3 7.193 1 0.000 1 0.489
  553 + 4633 2.157 1 5.5207 1 2.612221 2.7179 0.4762 7.773 69.35 0.675 1.829 7.465 26.2201 3 20.6726 3 7.193 1 0.000 1 0.497
  554 + 4634 2.166 1 5.5213 1 2.612172 2.7167 0.4762 7.768 69.32 0.671 1.829 7.465 26.2191 3 20.6718 3 7.189 1 0.000 1 0.506
  555 + 4635 2.173 1 5.5212 1 2.612094 2.7179 0.4396 7.768 69.30 0.669 1.829 7.465 26.2183 3 20.6712 3 7.193 1 0.000 1 0.513
  556 + 4636 2.180 1 5.5219 1 2.612330 2.7179 0.4396 7.773 69.30 0.667 1.829 7.465 26.2204 3 20.6727 3 7.193 1 0.000 1 0.520
  557 + 4637 2.187 1 5.5233 1 2.612874 2.7179 0.4029 7.773 69.32 0.656 1.829 7.465 26.2253 3 20.6764 3 7.192 1 0.000 1 0.527
  558 + 4638 2.197 1 5.5239 1 2.613394 2.7179 0.4029 7.768 69.35 0.624 1.829 7.465 26.2306 3 20.6805 3 7.192 1 0.000 1 0.537
  559 + 4639 2.208 1 5.5250 1 2.613870 2.7179 0.4029 7.773 69.40 0.610 1.829 7.465 26.2350 3 20.6839 3 7.192 1 0.000 1 0.548
  560 + 4640 2.220 1 5.5260 1 2.614291 2.7179 0.4396 7.768 69.46 0.610 1.829 7.465 26.2388 3 20.6868 3 7.191 1 0.000 1 0.560
  561 + 4641 2.231 1 5.5252 1 2.614411 2.7167 0.4396 7.768 69.46 0.628 1.829 7.465 26.2408 3 20.6885 3 7.187 1 0.000 1 0.571
  562 + 4642 2.242 1 5.5236 1 2.613994 2.7167 0.4029 7.768 69.46 0.665 1.829 7.465 26.2374 3 20.6860 3 7.188 1 0.272 1 0.582
  563 + 4643 2.253 1 5.5223 1 2.613434 2.7167 0.4029 7.773 69.51 0.694 1.829 7.465 26.2322 3 20.6820 3 7.188 1 0.281 1 0.593
  564 + 4644 2.266 1 5.5211 1 2.613057 2.7167 0.4029 7.773 69.56 0.703 1.829 7.465 26.2290 3 20.6796 3 7.189 1 0.291 1 0.606
  565 + 4645 2.280 1 5.5203 1 2.612771 2.7167 0.4029 7.773 69.56 0.699 1.829 7.465 26.2265 3 20.6777 3 7.189 1 0.302 1 0.620
  566 + 4646 2.292 1 5.5196 1 2.612418 2.7179 0.4396 7.773 69.59 0.690 1.829 7.465 26.2231 3 20.6751 3 7.193 1 0.314 1 0.632
  567 + 4647 2.306 1 5.5196 1 2.612072 2.7179 0.5494 7.773 69.59 0.663 1.829 7.465 26.2193 3 20.6721 3 7.193 1 0.326 1 0.646
  568 + 4648 2.319 1 5.5198 1 2.612229 2.7167 0.5861 7.773 69.59 0.617 1.829 7.465 26.2209 1 20.6733 1 7.189 1 0.337 0 0.659
  569 + 4649 2.333 1 5.5200 1 2.613065 2.7155 0.5861 7.768 69.59 0.574 1.829 7.465 26.2299 1 20.6804 1 7.185 1 0.347 0 0.673
  570 + 4650 2.347 1 5.5203 1 2.614225 2.7155 0.5861 7.768 69.59 0.542 1.829 7.465 26.2425 1 20.6903 1 7.184 1 0.357 0 0.687
  571 + 4651 2.362 1 5.5203 1 2.615306 2.7155 0.5494 7.773 69.64 0.520 1.829 7.465 26.2544 1 20.6997 1 7.184 1 0.366 0 0.702
  572 + 4652 2.377 1 5.5203 1 2.616026 2.7155 0.4762 7.773 69.67 0.510 1.829 7.465 26.2623 1 20.7060 1 7.184 1 0.376 0 0.717
  573 + 4653 2.393 1 5.5205 1 2.616249 2.7155 0.4396 7.773 69.70 0.507 1.829 7.465 26.2646 1 20.7078 1 7.183 1 0.386 0 0.733
  574 + 4654 2.411 1 5.5198 1 2.615952 2.7155 0.4396 7.768 69.75 0.501 1.829 7.465 26.2619 1 20.7057 1 7.184 1 0.396 0 0.751
  575 + 4655 2.430 1 5.5184 1 2.615630 2.7155 0.4029 7.773 69.78 0.499 1.829 7.465 26.2594 1 20.7039 1 7.184 1 0.407 0 0.770
  576 + 4656 2.448 1 5.5156 1 2.616253 2.7155 0.4396 7.768 69.75 0.497 1.829 7.465 26.2685 1 20.7113 1 7.184 1 0.417 0 0.788
  577 + 4657 2.467 1 5.5115 1 2.617792 2.7155 0.4029 7.773 69.72 0.485 1.829 7.465 26.2887 1 20.7277 1 7.184 1 0.427 0 0.807
  578 + 4658 2.484 1 5.5081 1 2.619461 2.7155 0.4029 7.773 69.70 0.469 1.829 7.465 26.3098 1 20.7446 1 7.183 1 0.437 0 0.824
  579 + 4659 2.502 1 5.5054 1 2.620603 2.7155 0.4029 7.773 69.64 0.461 1.829 7.465 26.3245 1 20.7565 1 7.183 1 0.446 0 0.842
  580 + 4660 2.521 1 5.5049 1 2.620920 2.7143 0.4029 7.768 69.67 0.470 1.829 7.465 26.3283 1 20.7596 1 7.179 1 0.455 0 0.861
  581 + 4661 2.540 1 5.5043 1 2.621041 2.7155 0.4029 7.773 69.67 0.484 1.829 7.465 26.3301 1 20.7611 1 7.183 1 0.464 0 0.880
  582 + 4662 2.558 1 5.5016 1 2.621692 2.7155 0.4029 7.773 69.70 0.493 1.829 7.465 26.3394 1 20.7687 1 7.183 1 0.472 0 0.898
  583 + 4663 2.577 1 5.4975 1 2.622513 2.7155 0.3663 7.768 69.70 0.494 1.829 7.465 26.3517 1 20.7788 1 7.183 1 0.480 0 0.917
  584 + 4664 2.599 1 5.4943 1 2.623308 2.7143 0.3663 7.773 69.72 0.486 1.829 7.277 26.3630 1 20.7881 1 7.180 1 0.487 0 0.939
  585 + 4665 2.622 1 5.4923 1 2.624062 2.7143 0.3663 7.773 69.80 0.472 1.829 7.120 26.3729 1 20.7961 1 7.180 1 0.494 0 0.962
  586 + 4666 2.645 1 5.4910 1 2.624718 2.7155 0.3663 7.773 69.83 0.468 1.829 7.089 26.3811 1 20.8027 1 7.183 1 0.500 0 0.985
  587 + 4667 2.666 1 5.4900 1 2.625100 2.7155 0.4029 7.773 69.86 0.469 1.829 7.089 26.3861 1 20.8068 1 7.183 1 0.506 0 1.006
  588 + 4668 2.687 1 5.4900 1 2.625023 2.7155 0.4029 7.773 69.80 0.461 1.829 7.120 26.3853 1 20.8061 1 7.183 1 0.512 0 1.027
  589 + 4669 2.708 1 5.4898 1 2.624777 2.7143 0.4029 7.768 69.75 0.450 1.829 7.120 26.3827 1 20.8041 1 7.180 1 0.518 0 1.048
  590 + 4670 2.729 1 5.4900 1 2.624510 2.7143 0.4029 7.773 69.72 0.445 1.829 7.120 26.3796 1 20.8016 1 7.180 1 0.522 0 1.069
  591 + 4671 2.751 1 5.4925 1 2.623943 2.7143 0.3663 7.773 69.75 0.448 1.829 7.120 26.3714 1 20.7948 1 7.180 1 0.526 0 1.091
  592 + 4672 2.773 1 5.4946 1 2.623140 2.7143 0.3663 7.773 69.80 0.445 1.829 7.120 26.3608 1 20.7863 1 7.180 1 0.529 0 1.113
  593 + 4673 2.797 1 5.4980 1 2.622284 2.7155 0.3663 7.773 69.86 0.440 1.829 7.120 26.3487 1 20.7764 1 7.184 1 0.531 0 1.137
  594 + 4674 2.820 1 5.5021 1 2.621548 2.7143 0.3663 7.773 69.86 0.438 1.829 7.120 26.3374 1 20.7670 1 7.180 1 0.532 0 1.160
  595 + 4675 2.842 1 5.5061 1 2.620360 2.7143 0.3663 7.768 69.86 0.435 1.829 7.120 26.3211 1 20.7538 1 7.180 1 0.532 0 1.182
  596 + 4676 2.866 1 5.5119 1 2.617482 2.7131 0.3297 7.773 69.80 0.435 1.829 7.120 26.2848 1 20.7245 1 7.177 1 0.531 0 1.206
  597 + 4677 2.889 1 5.5164 1 2.614032 2.7143 0.3663 7.773 69.80 0.440 1.829 7.120 26.2432 1 20.6912 1 7.182 1 0.530 0 1.229
  598 + 4678 2.913 1 5.5152 1 2.613617 2.7155 0.3297 7.773 69.78 0.449 1.829 7.120 26.2395 1 20.6885 1 7.186 1 0.530 0 1.253
  599 + 4679 2.935 1 5.5099 1 2.616584 2.7143 0.3663 7.773 69.75 0.458 1.829 7.120 26.2764 1 20.7181 1 7.181 1 0.531 0 1.275
  600 + 4680 2.956 1 5.5052 1 2.620308 2.7143 0.3297 7.773 69.75 0.469 1.829 7.120 26.3212 1 20.7539 1 7.180 1 0.532 0 1.296
  601 + 4681 2.977 1 5.5026 1 2.622667 2.7143 0.3297 7.773 69.78 0.477 1.829 7.120 26.3493 1 20.7764 1 7.179 1 0.533 0 1.317
  602 + 4682 2.998 1 5.4979 1 2.623022 2.7131 0.3297 7.773 69.83 0.481 1.829 7.120 26.3569 1 20.7828 1 7.176 1 0.534 0 1.338
  603 + 4683 3.020 1 5.4971 1 2.622507 2.7131 0.3663 7.773 69.80 0.476 1.829 7.120 26.3518 1 20.7789 1 7.176 1 0.536 0 1.360
  604 + 4684 3.042 1 5.5071 1 2.622345 2.7143 0.3297 7.773 69.78 0.463 1.829 7.120 26.3421 1 20.7703 1 7.179 1 0.537 0 1.382
  605 + 4685 3.062 1 5.5161 1 2.622258 2.7143 0.3297 7.773 69.78 0.449 1.829 7.120 26.3341 1 20.7631 1 7.178 1 0.539 0 1.402
  606 + 4686 3.082 1 5.5189 1 2.622004 2.7131 0.3297 7.773 69.80 0.433 1.829 7.120 26.3291 1 20.7588 1 7.174 1 0.541 0 1.422
  607 + 4687 3.104 1 5.5228 1 2.621367 2.7131 0.3297 7.768 69.83 0.419 1.829 7.120 26.3190 1 20.7505 1 7.173 1 0.545 0 1.444
  608 + 4688 3.127 1 5.5229 1 2.620101 2.7131 0.3297 7.768 69.86 0.400 1.829 7.120 26.3050 1 20.7394 1 7.174 1 0.548 0 1.467
  609 + 4689 3.152 1 5.5202 1 2.619329 2.7131 0.3297 7.773 69.91 0.381 1.829 7.120 26.2986 1 20.7346 1 7.175 1 0.552 0 1.492
  610 + 4690 3.175 1 5.5175 1 2.619305 2.7143 0.3297 7.773 69.99 0.366 1.829 7.120 26.3004 1 20.7363 1 7.179 1 0.555 0 1.515
  611 + 4691 3.199 1 5.5140 1 2.619597 2.7143 0.3297 7.773 70.04 0.355 1.829 7.120 26.3063 1 20.7414 1 7.180 1 0.560 0 1.539
  612 + 4692 3.223 1 5.5084 1 2.620279 2.7131 0.3297 7.773 70.15 0.348 1.829 7.120 26.3182 1 20.7513 1 7.176 1 0.564 0 1.563
  613 + 4693 3.248 1 5.5037 1 2.621248 2.7131 0.3663 7.768 70.15 0.344 1.829 7.120 26.3326 1 20.7631 1 7.176 1 0.568 0 1.588
  614 + 4694 3.272 1 5.4974 1 2.622118 2.7118 0.3297 7.773 70.10 0.337 1.829 7.120 26.3471 1 20.7752 1 7.173 1 0.571 0 1.612
  615 + 4695 3.296 1 5.4926 1 2.622736 2.7118 0.3663 7.768 70.07 0.327 1.829 7.120 26.3577 1 20.7841 1 7.173 1 0.574 0 1.636
  616 + 4696 3.321 1 5.4894 1 2.623185 2.7118 0.3297 7.773 70.02 0.318 1.829 7.120 26.3652 1 20.7903 1 7.173 1 0.576 0 1.661
  617 + 4697 3.346 1 5.4868 1 2.623469 2.7118 0.3297 7.768 69.99 0.309 1.829 7.120 26.3704 1 20.7946 1 7.173 1 0.579 0 1.686
  618 + 4698 3.371 1 5.4848 1 2.623726 2.7131 0.3297 7.768 69.96 0.300 1.829 7.120 26.3748 1 20.7983 1 7.178 1 0.582 0 1.711
  619 + 4699 3.396 1 5.4840 1 2.624048 2.7118 0.3297 7.768 69.96 0.294 1.829 7.120 26.3789 1 20.8017 1 7.173 1 0.584 0 1.736
  620 + 4700 3.419 1 5.4847 1 2.624374 2.7118 0.3297 7.773 69.99 0.288 1.829 7.120 26.3820 1 20.8040 1 7.173 1 0.586 0 1.759
  621 + 4701 3.443 1 5.4839 1 2.624557 2.7118 0.3663 7.773 69.99 0.283 1.829 7.120 26.3846 1 20.8062 1 7.173 1 0.588 0 1.783
  622 + 4702 3.467 1 5.4827 1 2.624415 2.7118 0.3663 7.768 69.96 0.277 1.829 7.120 26.3840 1 20.8058 1 7.174 1 0.590 0 1.807
  623 + 4703 3.491 1 5.4824 1 2.623817 2.7131 0.3663 7.768 69.94 0.269 1.829 7.120 26.3776 1 20.8008 1 7.178 1 0.592 0 1.831
  624 + 4704 3.515 1 5.4833 1 2.623045 2.7118 0.3663 7.773 69.94 0.263 1.829 7.120 26.3683 1 20.7934 1 7.174 1 0.594 0 1.855
  625 + 4705 3.538 1 5.4866 1 2.622948 2.7118 0.3297 7.768 69.88 0.258 1.829 7.120 26.3647 1 20.7901 1 7.174 1 0.597 0 1.878
  626 + 4706 3.562 1 5.4953 1 2.624367 2.7118 0.3297 7.773 69.86 0.254 1.829 7.120 26.3735 1 20.7963 1 7.172 1 0.600 0 1.902
  627 + 4707 3.587 1 5.5063 1 2.626524 2.7106 0.3663 7.768 69.86 0.249 1.829 7.120 26.3887 1 20.8071 1 7.166 1 0.604 0 1.927
  628 + 4708 3.613 1 5.5135 1 2.628264 2.7106 0.3663 7.768 69.94 0.243 1.829 7.120 26.4022 1 20.8171 1 7.164 1 0.607 0 1.953
  629 + 4709 3.641 1 5.5150 1 2.629133 2.7106 0.3663 7.773 69.99 0.237 1.829 7.120 26.4107 1 20.8236 1 7.163 1 0.610 0 1.981
  630 + 4710 3.667 1 5.5161 1 2.629176 2.7118 0.3663 7.773 70.10 0.232 1.829 7.120 26.4103 1 20.8232 1 7.167 1 0.613 0 2.007
  631 + 4711 3.693 1 5.5150 1 2.628045 2.7106 0.3297 7.773 70.07 0.227 1.829 7.120 26.3986 1 20.8141 1 7.164 1 0.616 0 2.033
  632 + 4712 3.718 1 5.5131 1 2.626124 2.7106 0.3663 7.768 70.04 0.223 1.829 7.120 26.3789 1 20.7987 1 7.165 1 0.620 0 2.058
  633 + 4713 3.744 1 5.5124 1 2.624303 2.7106 0.3297 7.773 69.99 0.220 1.829 7.120 26.3593 1 20.7833 1 7.166 1 0.623 0 2.084
  634 + 4714 3.770 1 5.5125 1 2.623025 2.7106 0.3297 7.768 69.99 0.217 1.829 7.120 26.3451 1 20.7721 1 7.167 1 0.627 0 2.110
  635 + 4715 3.796 1 5.5126 1 2.622680 2.7106 0.3297 7.773 69.96 0.214 1.829 7.120 26.3412 1 20.7690 1 7.167 1 0.630 0 2.136
  636 + 4716 3.824 1 5.5145 1 2.622880 2.7106 0.3663 7.773 69.99 0.210 1.829 7.120 26.3419 1 20.7694 1 7.167 1 0.634 0 2.164
  637 + 4717 3.852 1 5.5163 1 2.623248 2.7106 0.3297 7.773 69.99 0.207 1.829 7.120 26.3446 1 20.7713 1 7.166 1 0.637 0 2.192
  638 + 4718 3.878 1 5.5177 1 2.623832 2.7106 0.3297 7.768 69.99 0.204 1.829 7.120 26.3499 1 20.7754 1 7.166 1 0.640 0 2.218
  639 + 4719 3.904 1 5.5181 1 2.625061 2.7106 0.3297 7.773 69.96 0.201 1.829 7.120 26.3632 1 20.7858 1 7.165 1 0.642 0 2.244
  640 + 4720 3.930 1 5.5175 1 2.626594 2.7094 0.3297 7.768 69.96 0.199 1.829 7.120 26.3805 1 20.7996 1 7.161 1 0.644 0 2.270
  641 + 4721 3.956 1 5.5168 1 2.627592 2.7094 0.3297 7.773 69.96 0.198 1.829 7.120 26.3921 1 20.8088 1 7.160 1 0.645 0 2.296
  642 + 4722 3.982 1 5.5171 1 2.627983 2.7106 0.3297 7.773 69.96 0.198 1.829 7.120 26.3962 1 20.8120 1 7.164 1 0.648 0 2.322
  643 + 4723 4.010 1 5.5136 1 2.628476 2.7106 0.3297 7.773 69.99 0.196 1.829 7.120 26.4044 1 20.8188 1 7.164 1 0.650 0 2.350
  644 + 4724 4.037 1 5.5122 1 2.628501 2.7094 0.3297 7.768 69.96 0.196 1.829 7.120 26.4057 1 20.8200 1 7.160 1 0.653 0 2.377
  645 + 4725 4.065 1 5.5166 1 2.627374 2.7106 0.3297 7.773 70.02 0.195 1.829 7.120 26.3898 1 20.8070 1 7.164 1 0.655 0 2.405
  646 + 4726 4.093 1 5.5198 1 2.626104 2.7094 0.3297 7.768 70.02 0.194 1.829 7.120 26.3733 1 20.7936 1 7.161 1 0.657 0 2.433
  647 + 4727 4.121 1 5.5229 1 2.624761 2.7094 0.3663 7.768 70.04 0.192 1.829 7.120 26.3560 1 20.7797 1 7.161 1 0.659 0 2.461
  648 + 4728 4.149 1 5.5238 1 2.623670 2.7094 0.3297 7.773 70.02 0.191 1.829 7.120 26.3432 1 20.7695 1 7.161 1 0.661 0 2.489
  649 + 4729 4.177 1 5.5191 1 2.624790 2.7094 0.3297 7.768 69.99 0.189 1.829 7.120 26.3593 1 20.7826 1 7.161 1 0.663 0 2.517
  650 + 4730 4.204 1 5.5133 1 2.627889 2.7094 0.3297 7.773 69.96 0.186 1.829 7.120 26.3980 1 20.8138 1 7.161 1 0.665 0 2.544
  651 + 4731 4.231 1 5.5131 1 2.630960 2.7094 0.3297 7.768 70.02 0.181 1.829 7.120 26.4321 1 20.8407 1 7.159 1 0.667 0 2.571
  652 + 4732 4.259 1 5.5131 1 2.633078 2.7094 0.3297 7.773 70.04 0.175 1.829 7.120 26.4555 1 20.8592 1 7.158 1 0.669 0 2.599
  653 + 4733 4.287 1 5.5112 1 2.634347 2.7094 0.3297 7.773 70.12 0.170 1.829 7.120 26.4710 1 20.8716 1 7.158 1 0.671 0 2.627
  654 + 4734 4.315 1 5.5103 1 2.635513 2.7094 0.3297 7.768 70.18 0.165 1.829 7.120 26.4845 1 20.8824 1 7.157 1 0.672 0 2.655
  655 + 4735 4.343 1 5.5124 1 2.636871 2.7106 0.3297 7.773 70.23 0.161 1.829 7.120 26.4979 1 20.8927 1 7.160 1 0.672 0 2.683
  656 + 4736 4.372 1 5.5145 1 2.637716 2.7094 0.3297 7.768 70.26 0.158 1.829 7.120 26.5055 1 20.8986 1 7.156 1 0.672 0 2.712
  657 + 4737 4.401 1 5.5189 1 2.638337 2.7094 0.3297 7.768 70.26 0.155 1.829 7.120 26.5089 1 20.9008 1 7.155 1 0.672 0 2.741
  658 + 4738 4.430 1 5.5226 1 2.639091 2.7094 0.3297 7.773 70.20 0.152 1.829 7.120 26.5143 1 20.9047 1 7.154 1 0.671 0 2.770
  659 + 4739 4.457 1 5.5262 1 2.639671 2.7094 0.3297 7.768 70.15 0.150 1.829 7.120 26.5179 1 20.9071 1 7.153 1 0.671 0 2.797
  660 + 4740 4.484 1 5.5233 1 2.640379 2.7094 0.3297 7.768 70.12 0.148 1.829 7.120 26.5280 1 20.9154 1 7.153 1 0.671 0 2.824
  661 + 4741 4.512 1 5.5145 1 2.641160 2.7082 0.3297 7.768 70.12 0.147 1.829 7.120 26.5436 1 20.9286 1 7.150 1 0.671 0 2.852
  662 + 4742 4.540 1 5.5079 1 2.641691 2.7082 0.3297 7.773 70.12 0.145 1.829 7.120 26.5546 1 20.9380 1 7.151 1 0.672 0 2.880
  663 + 4743 4.569 1 5.5068 1 2.641609 2.7094 0.3297 7.768 70.15 0.143 1.829 7.120 26.5546 1 20.9381 1 7.155 1 0.672 0 2.909
  664 + 4744 4.598 1 5.5056 1 2.640762 2.7094 0.3297 7.773 70.15 0.141 1.829 7.120 26.5461 1 20.9315 1 7.155 1 0.672 0 2.938
  665 + 4745 4.626 1 5.5047 1 2.639736 2.7094 0.3297 7.768 70.18 0.138 1.829 7.120 26.5355 1 20.9232 1 7.156 1 0.672 0 2.966
  666 + 4746 4.653 1 5.5033 1 2.639039 2.7082 0.3297 7.773 70.18 0.136 1.829 7.120 26.5289 1 20.9181 1 7.153 1 0.671 0 2.993
  667 + 4747 4.678 1 5.5006 1 2.637969 2.7082 0.3297 7.768 70.20 0.134 1.829 7.120 26.5192 1 20.9107 1 7.154 1 0.671 0 3.018
  668 + 4748 4.706 1 5.5003 1 2.636766 2.7082 0.3297 7.768 70.18 0.132 1.829 7.120 26.5061 1 20.9004 1 7.154 1 0.671 0 3.046
  669 + 4749 4.735 1 5.5007 1 2.636186 2.7082 0.3297 7.768 70.15 0.130 1.829 7.120 26.4994 1 20.8951 1 7.155 1 0.672 0 3.075
  670 + 4750 4.763 1 5.5011 1 2.636495 2.7070 0.3297 7.768 70.12 0.128 1.829 7.120 26.5025 1 20.8975 1 7.151 1 0.672 0 3.103
  671 + 4751 4.790 1 5.5012 1 2.636932 2.7082 0.3297 7.773 70.07 0.126 1.829 7.120 26.5072 1 20.9012 1 7.154 1 0.672 0 3.130
  672 + 4752 4.819 1 5.5016 1 2.637341 2.7082 0.3297 7.768 69.99 0.124 1.829 7.120 26.5114 1 20.9045 1 7.154 1 0.672 0 3.159
  673 + 4753 4.848 1 5.5019 1 2.637364 2.7082 0.3663 7.773 69.99 0.123 1.829 7.120 26.5114 1 20.9045 1 7.154 1 0.671 0 3.188
  674 + 4754 4.877 1 5.5009 1 2.636976 2.7094 0.3297 7.773 69.99 0.121 1.829 7.120 26.5079 1 20.9018 1 7.158 1 0.671 0 3.217
  675 + 4755 4.905 1 5.5023 1 2.637204 2.7082 0.3297 7.768 69.99 0.119 1.829 7.120 26.5093 1 20.9028 1 7.154 1 0.670 0 3.245
  676 + 4756 4.932 1 5.4979 1 2.638333 2.7082 0.3297 7.768 69.99 0.117 1.829 7.120 26.5252 1 20.9158 1 7.154 1 0.669 0 3.272
  677 + 4757 4.960 1 5.4889 1 2.639874 2.7082 0.3297 7.768 69.99 0.115 1.829 7.120 26.5494 1 20.9357 1 7.155 1 0.668 0 3.300
  678 + 4758 4.989 1 5.4825 1 2.641088 2.7082 0.3297 7.768 70.02 0.112 1.829 7.120 26.5678 1 20.9510 1 7.155 1 0.668 0 3.329
  679 + 4759 5.018 1 5.4796 1 2.641752 2.7082 0.3297 7.768 70.07 0.110 1.829 7.120 26.5775 1 20.9589 1 7.155 1 0.667 0 3.358
  680 + 4760 5.046 1 5.4796 1 2.642172 2.7082 0.3297 7.768 70.10 0.108 1.829 7.120 26.5821 1 20.9625 1 7.155 1 0.665 0 3.386
  681 + 4761 5.073 1 5.4768 1 2.642512 2.7082 0.3297 7.768 70.12 0.106 1.829 7.120 26.5881 1 20.9675 1 7.155 1 0.663 0 3.413
  682 + 4762 5.099 1 5.4687 1 2.642837 2.7082 0.3663 7.768 70.20 0.103 1.829 7.120 26.5981 1 20.9762 1 7.156 1 0.662 0 3.439
  683 + 4763 5.126 1 5.4632 1 2.643081 2.7082 0.3663 7.768 70.28 0.102 1.829 7.120 26.6051 1 20.9823 1 7.157 1 0.661 0 3.466
  684 + 4764 5.154 1 5.4607 1 2.643517 2.7070 0.3297 7.768 70.31 0.100 1.829 7.120 26.6119 1 20.9879 1 7.153 1 0.659 0 3.494
  685 + 4765 5.181 1 5.4581 1 2.644535 2.7070 0.3297 7.773 70.31 0.098 1.829 7.120 26.6252 1 20.9987 1 7.153 1 0.659 0 3.521
  686 + 4766 5.207 1 5.4544 1 2.646188 2.7070 0.3297 7.773 70.28 0.097 1.829 7.120 26.6464 1 21.0158 1 7.152 1 0.658 0 3.547
  687 + 4767 5.234 1 5.4513 1 2.647669 2.7082 0.3297 7.768 70.31 0.095 1.829 7.120 26.6653 1 21.0311 1 7.156 1 0.657 0 3.574
  688 + 4768 5.262 1 5.4471 1 2.649244 2.7082 0.3297 7.768 70.36 0.093 1.829 7.120 26.6861 1 21.0479 1 7.156 1 0.657 0 3.602
  689 + 4769 5.291 1 5.4423 1 2.650761 2.7082 0.3297 7.768 70.36 0.092 1.829 7.120 26.7067 1 21.0646 1 7.156 1 0.657 0 3.631
  690 + 4770 5.318 1 5.4394 1 2.651835 2.7070 0.3297 7.768 70.34 0.090 1.829 7.120 26.7209 1 21.0761 1 7.152 1 0.656 0 3.658
  691 + 4771 5.343 1 5.4376 1 2.652509 2.7070 0.2930 7.768 70.31 0.088 1.829 7.120 26.7298 1 21.0833 1 7.152 1 0.656 0 3.683
  692 + 4772 5.370 1 5.4362 1 2.653017 2.7070 0.3297 7.768 70.31 0.086 1.829 7.120 26.7365 1 21.0888 1 7.151 1 0.656 0 3.710
  693 + 4773 5.398 1 5.4348 1 2.653496 2.7070 0.2930 7.773 70.34 0.084 1.829 7.120 26.7429 1 21.0940 1 7.151 1 0.656 0 3.738
  694 + 4774 5.427 1 5.4349 1 2.653559 2.7082 0.3297 7.768 70.28 0.083 1.829 7.120 26.7435 1 21.0945 1 7.155 1 0.657 0 3.767
  695 + 4775 5.455 1 5.4357 1 2.652985 2.7082 0.3297 7.768 70.31 0.081 1.829 7.120 26.7365 1 21.0888 1 7.155 1 0.657 0 3.795
  696 + 4776 5.483 1 5.4366 1 2.652272 2.7082 0.3297 7.768 70.34 0.080 1.829 7.120 26.7279 1 21.0819 1 7.156 1 0.657 0 3.823
  697 + 4777 5.509 1 5.4376 1 2.651558 2.7070 0.2930 7.768 70.34 0.078 1.829 7.120 26.7192 1 21.0750 1 7.152 1 0.656 0 3.849
  698 + 4778 5.537 1 5.4380 1 2.651124 2.7070 0.2930 7.768 70.31 0.077 1.829 7.120 26.7140 1 21.0708 1 7.152 1 0.656 0 3.877
  699 + 4779 5.565 1 5.4378 1 2.651141 2.7070 0.2930 7.768 70.26 0.076 1.829 7.120 26.7143 1 21.0711 1 7.152 1 0.654 0 3.905
  700 + 4780 5.592 1 5.4366 1 2.651587 2.7082 0.2930 7.768 70.26 0.075 1.829 7.120 26.7202 1 21.0759 1 7.156 1 0.653 0 3.932
  701 + 4781 5.618 1 5.4360 1 2.652074 2.7070 0.2930 7.773 70.26 0.074 1.829 7.120 26.7261 1 21.0806 1 7.152 1 0.652 0 3.958
  702 + 4782 5.645 1 5.4353 1 2.652482 2.7070 0.2930 7.768 70.31 0.073 1.829 7.120 26.7312 1 21.0847 1 7.152 1 0.651 0 3.985
  703 + 4783 5.673 1 5.4350 1 2.652600 2.7082 0.2930 7.768 70.36 0.072 1.829 7.120 26.7327 1 21.0859 1 7.156 1 0.649 0 4.013
  704 + 4784 5.700 1 5.4349 1 2.652764 2.7082 0.2930 7.768 70.39 0.072 1.829 7.120 26.7346 1 21.0874 1 7.156 1 0.647 0 4.040
  705 + 4785 5.727 1 5.4342 1 2.653194 2.7070 0.2930 7.768 70.39 0.071 1.829 7.120 26.7399 1 21.0917 1 7.152 1 0.645 0 4.067
  706 + 4786 5.754 1 5.4334 1 2.653748 2.7070 0.2930 7.768 70.42 0.070 1.829 7.120 26.7467 1 21.0971 1 7.152 1 0.643 0 4.094
  707 + 4787 5.782 1 5.4329 1 2.654112 2.7070 0.2930 7.768 70.47 0.070 1.829 7.120 26.7511 1 21.1006 1 7.152 1 0.641 0 4.122
  708 + 4788 5.808 1 5.4324 1 2.654342 2.7070 0.3297 7.768 70.52 0.069 1.829 7.120 26.7540 1 21.1030 1 7.152 1 0.640 0 4.148
  709 + 4789 5.833 1 5.4321 1 2.654549 2.7082 0.3297 7.768 70.52 0.069 1.829 7.120 26.7565 1 21.1050 1 7.155 1 0.639 0 4.173
  710 + 4790 5.859 1 5.4318 1 2.654679 2.7082 0.3297 7.768 70.52 0.068 1.829 7.120 26.7582 1 21.1064 1 7.155 1 0.637 0 4.199
  711 + 4791 5.887 1 5.4319 1 2.654792 2.7070 0.3297 7.768 70.52 0.068 1.829 7.120 26.7594 1 21.1073 1 7.152 1 0.636 0 4.227
  712 + 4792 5.913 1 5.4317 1 2.654871 2.7070 0.2930 7.768 70.55 0.067 1.829 7.120 26.7604 1 21.1081 1 7.152 1 0.636 0 4.253
  713 + 4793 5.939 1 5.4318 1 2.654884 2.7082 0.3297 7.768 70.55 0.066 1.829 7.120 26.7604 1 21.1081 1 7.155 1 0.635 0 4.279
  714 + 4794 5.965 1 5.4318 1 2.654801 2.7082 0.3297 7.768 70.55 0.065 1.829 7.120 26.7595 1 21.1074 1 7.156 1 0.634 0 4.305
  715 + 4795 5.991 1 5.4319 1 2.654707 2.7082 0.3297 7.768 70.52 0.064 1.829 7.120 26.7584 1 21.1065 1 7.156 1 0.634 0 4.331
  716 + 4796 6.017 1 5.4319 1 2.654680 2.7082 0.3297 7.768 70.50 0.063 1.829 7.120 26.7581 1 21.1063 1 7.156 1 0.633 0 4.357
  717 + 4797 6.043 1 5.4317 1 2.654681 2.7070 0.3297 7.768 70.52 0.063 1.829 7.120 26.7582 1 21.1064 1 7.152 1 0.632 0 4.383
  718 + 4798 6.070 1 5.4318 1 2.654755 2.7070 0.3297 7.768 70.55 0.061 1.829 7.120 26.7590 1 21.1070 1 7.152 1 0.632 0 4.410
  719 + 4799 6.097 1 5.4316 1 2.654868 2.7094 0.3297 7.773 70.63 0.061 1.829 7.120 26.7604 1 21.1081 1 7.159 1 0.631 0 4.437
  720 + 4800 6.123 1 5.4314 1 2.654868 2.7082 0.3297 7.773 70.71 0.059 1.829 7.120 26.7605 1 21.1082 1 7.156 1 0.631 0 4.463
  721 + 4801 6.149 1 5.4314 1 2.654886 2.7082 0.3297 7.768 70.79 0.058 1.829 7.120 26.7607 1 21.1084 1 7.156 1 0.631 0 4.489
  722 + 4802 6.176 1 5.4313 1 2.655100 2.7082 0.2930 7.768 70.84 0.058 1.829 7.120 26.7631 1 21.1103 1 7.156 1 0.630 0 4.516
  723 + 4803 6.203 1 5.4308 1 2.655598 2.7070 0.3297 7.768 70.87 0.057 1.829 7.120 26.7691 1 21.1150 1 7.152 1 0.629 0 4.543
  724 + 4804 6.229 1 5.4303 1 2.656248 2.7070 0.2930 7.768 70.90 0.056 1.829 7.120 26.7766 1 21.1211 1 7.151 1 0.629 0 4.569
  725 + 4805 6.256 1 5.4300 1 2.656759 2.7070 0.2930 7.768 70.87 0.055 1.829 7.120 26.7825 1 21.1258 1 7.151 1 0.630 0 4.596
  726 + 4806 6.282 1 5.4300 1 2.656889 2.7070 0.3297 7.768 70.84 0.054 1.829 7.120 26.7840 1 21.1269 1 7.151 1 0.630 0 4.622
  727 + 4807 6.307 1 5.4303 1 2.656689 2.7082 0.3297 7.768 70.87 0.053 1.829 7.120 26.7815 1 21.1249 1 7.155 1 0.630 0 4.647
  728 + 4808 6.333 1 5.4303 1 2.656404 2.7082 0.3297 7.768 70.90 0.052 1.829 7.120 26.7783 1 21.1224 1 7.155 1 0.629 0 4.673
  729 + 4809 6.359 1 5.4308 1 2.656149 2.7070 0.3297 7.773 70.98 0.052 1.829 7.120 26.7751 1 21.1198 1 7.152 1 0.627 0 4.699
  730 + 4810 6.385 1 5.4305 1 2.656098 2.7070 0.2930 7.768 71.03 0.051 1.829 7.120 26.7748 1 21.1196 1 7.152 1 0.626 0 4.725
  731 + 4811 6.411 1 5.4307 1 2.656212 2.7070 0.2930 7.768 71.03 0.050 1.829 7.120 26.7758 1 21.1204 1 7.152 1 0.625 0 4.751
  732 + 4812 6.437 1 5.4305 1 2.656403 2.7082 0.2930 7.768 71.03 0.050 1.829 7.120 26.7781 1 21.1222 1 7.155 1 0.624 0 4.777
  733 + 4813 6.462 1 5.4302 1 2.656577 2.7070 0.2930 7.773 71.03 0.049 1.829 7.120 26.7803 1 21.1240 1 7.151 1 0.622 0 4.802
  734 + 4814 6.489 1 5.4303 1 2.656590 2.7070 0.2930 7.768 71.08 0.048 1.829 7.120 26.7803 1 21.1240 1 7.151 1 0.621 0 4.829
  735 + 4815 6.516 1 5.4303 1 2.656551 2.7070 0.2930 7.768 71.08 0.048 1.829 7.277 26.7799 1 21.1236 1 7.152 1 0.619 0 4.856
  736 + 4816 6.543 1 5.4303 1 2.656552 2.7070 0.2930 7.768 71.08 0.047 1.829 7.497 26.7799 1 21.1236 1 7.152 1 0.618 0 4.883
  737 + 4817 6.571 1 5.4303 1 2.656660 2.7070 0.2930 7.768 71.00 0.046 1.829 7.560 26.7811 1 21.1246 1 7.152 1 0.618 0 4.911
  738 + 4818 6.595 1 5.4303 1 2.656745 2.7070 0.2930 7.768 70.95 0.046 1.829 7.560 26.7820 1 21.1253 1 7.152 1 0.617 0 4.935
  739 + 4819 6.618 1 5.4300 1 2.656841 2.7070 0.2930 7.768 70.87 0.045 1.829 7.528 26.7833 1 21.1264 1 7.152 1 0.617 0 4.958
  740 + 4820 6.643 1 5.4298 1 2.656875 2.7070 0.2930 7.768 70.87 0.044 1.829 7.528 26.7838 1 21.1268 1 7.152 1 0.616 0 4.983
  741 + 4821 6.668 1 5.4300 1 2.656871 2.7070 0.2930 7.768 70.90 0.044 1.829 7.528 26.7836 1 21.1266 1 7.152 1 0.615 0 5.008
  742 + 4822 6.695 1 5.4300 1 2.656860 2.7070 0.3297 7.768 70.90 0.043 1.829 7.528 26.7835 1 21.1265 1 7.152 1 0.614 0 5.035
  743 + 4823 6.720 1 5.4300 1 2.656811 2.7057 0.3297 7.768 70.82 0.043 1.829 7.528 26.7829 1 21.1261 1 7.147 1 0.612 0 5.060
  744 + 4824 6.745 1 5.4298 1 2.656850 2.7057 0.3297 7.768 70.76 0.042 1.829 7.528 26.7835 1 21.1266 1 7.148 1 0.609 0 5.085
  745 + 4825 6.770 1 5.4297 1 2.656997 2.7070 0.2930 7.768 70.71 0.042 1.829 7.528 26.7852 1 21.1279 1 7.152 1 0.607 0 5.110
  746 + 4826 6.795 1 5.4295 1 2.657311 2.7070 0.2930 7.768 70.63 0.041 1.829 7.528 26.7888 1 21.1308 1 7.152 1 0.604 0 5.135
  747 + 4827 6.822 1 5.4290 1 2.657821 2.7070 0.3297 7.768 70.60 0.041 1.829 7.528 26.7949 1 21.1356 1 7.151 1 0.602 0 5.162
  748 + 4828 6.848 1 5.4284 1 2.658981 2.7070 0.2930 7.768 70.60 0.040 1.829 7.528 26.8082 1 21.1462 1 7.151 1 0.601 0 5.188
  749 + 4829 6.874 1 5.4262 1 2.661349 2.7070 0.3297 7.768 70.58 0.040 1.829 7.560 26.8362 1 21.1685 1 7.150 1 0.600 0 5.214
  750 + 4830 6.900 1 5.4243 1 2.664032 2.7057 0.3297 7.768 70.55 0.040 1.829 7.528 26.8675 1 21.1934 1 7.145 1 0.599 0 5.240
  751 + 4831 6.925 1 5.4229 1 2.666342 2.7082 0.3297 7.768 70.58 0.039 1.829 7.560 26.8942 1 21.2147 1 7.152 1 0.598 0 5.265
  752 + 4832 6.949 1 5.4203 1 2.668851 2.7070 0.3297 7.768 70.68 0.039 1.829 7.528 26.9241 1 21.2386 1 7.147 1 0.596 0 5.289
  753 + 4833 6.972 1 5.4175 1 2.672040 2.7082 0.3297 7.773 70.76 0.039 1.829 7.528 26.9617 1 21.2686 1 7.149 1 0.594 0 5.312
  754 + 4834 6.995 1 5.4153 1 2.675362 2.7070 0.2930 7.768 70.82 0.038 1.829 7.528 27.0004 1 21.2993 1 7.144 1 0.592 0 5.335
  755 + 4835 7.018 1 5.4131 1 2.677982 2.7070 0.2930 7.768 70.82 0.038 1.829 7.528 27.0312 1 21.3239 1 7.143 1 0.591 0 5.358
  756 + 4836 7.042 1 5.4113 1 2.679637 2.7057 0.2930 7.768 70.84 0.038 1.829 7.528 27.0511 1 21.3397 1 7.138 1 0.589 0 5.382
  757 + 4837 7.068 1 5.4099 1 2.680641 2.7057 0.2930 7.768 70.87 0.037 1.829 7.528 27.0633 1 21.3496 1 7.138 1 0.587 0 5.408
  758 + 4838 7.094 1 5.4092 1 2.681512 2.7070 0.2930 7.768 70.92 0.037 1.829 7.528 27.0735 1 21.3577 1 7.142 1 0.584 0 5.434
  759 + 4839 7.119 1 5.4084 1 2.682428 2.7070 0.2930 7.768 70.98 0.037 1.829 7.528 27.0844 1 21.3663 1 7.142 1 0.582 0 5.459
  760 + 4840 7.143 1 5.4073 1 2.683394 2.7070 0.2930 7.768 70.90 0.037 1.829 7.528 27.0960 1 21.3756 1 7.141 1 0.580 0 5.483
  761 + 4841 7.167 1 5.4068 1 2.684075 2.7057 0.2930 7.768 70.79 0.036 1.829 7.528 27.1039 1 21.3819 1 7.137 1 0.579 0 5.507
  762 + 4842 7.191 1 5.4064 1 2.684458 2.7057 0.2930 7.768 70.74 0.036 1.829 7.528 27.1085 1 21.3856 1 7.137 1 0.578 0 5.531
  763 + 4843 7.215 1 5.4059 1 2.684525 2.7057 0.2930 7.768 70.74 0.036 1.829 7.528 27.1096 1 21.3865 1 7.137 1 0.578 0 5.555
  764 + 4844 7.239 1 5.4063 1 2.684460 2.7070 0.2930 7.768 70.79 0.035 1.829 7.560 27.1086 1 21.3857 1 7.141 1 0.576 0 5.579
  765 + 4845 7.264 1 5.4059 1 2.684539 2.7057 0.2930 7.768 70.82 0.035 1.829 7.560 27.1098 1 21.3867 1 7.137 1 0.575 0 5.604
  766 + 4846 7.288 1 5.4057 1 2.684928 2.7070 0.2930 7.768 70.84 0.035 1.829 7.528 27.1142 1 21.3902 1 7.141 1 0.573 0 5.628
  767 + 4847 7.310 1 5.4057 1 2.685058 2.7057 0.2930 7.768 70.87 0.035 1.829 7.528 27.1157 1 21.3913 1 7.137 1 0.571 0 5.650
  768 + 4848 7.333 1 5.4057 1 2.684620 2.7057 0.2930 7.768 70.87 0.034 1.829 7.528 27.1108 1 21.3875 1 7.137 1 0.569 0 5.673
  769 + 4849 7.357 1 5.4059 1 2.684257 2.7057 0.3297 7.768 70.90 0.034 1.829 7.560 27.1066 1 21.3841 1 7.137 1 0.567 0 5.697
  770 + 4850 7.381 1 5.4061 1 2.684174 2.7057 0.2930 7.768 71.00 0.034 1.829 7.528 27.1055 1 21.3833 1 7.137 1 0.565 0 5.721
  771 + 4851 7.405 1 5.4062 1 2.684097 2.7057 0.2930 7.768 71.11 0.033 1.829 7.528 27.1045 1 21.3825 1 7.137 1 0.563 0 5.745
  772 + 4852 7.429 1 5.4063 1 2.684025 2.7057 0.2930 7.768 71.16 0.033 1.829 7.528 27.1037 1 21.3818 1 7.137 1 0.562 0 5.769
  773 + 4853 7.454 1 5.4063 1 2.684088 2.7057 0.2930 7.768 71.22 0.033 1.829 7.528 27.1043 1 21.3823 1 7.137 1 0.559 0 5.794
  774 + 4854 7.476 1 5.4058 1 2.684200 2.7070 0.2930 7.768 71.30 0.033 1.829 7.528 27.1060 1 21.3837 1 7.141 1 0.557 0 5.816
  775 + 4855 7.496 1 5.4058 1 2.684421 2.7057 0.2930 7.768 71.43 0.032 1.829 7.528 27.1084 1 21.3856 1 7.137 1 0.555 0 5.836
  776 + 4856 7.519 1 5.4058 1 2.684658 2.7057 0.2930 7.768 71.46 0.032 1.829 7.528 27.1111 1 21.3877 1 7.137 1 0.553 0 5.859
  777 + 4857 7.543 1 5.4058 1 2.684812 2.7070 0.3297 7.768 71.46 0.032 1.829 7.528 27.1128 1 21.3890 1 7.141 1 0.550 0 5.883
  778 + 4858 7.567 1 5.4055 1 2.684862 2.7057 0.2930 7.768 71.43 0.032 1.829 7.528 27.1135 1 21.3897 1 7.137 1 0.548 0 5.907
  779 + 4859 7.591 1 5.4053 1 2.685088 2.7070 0.2930 7.768 71.49 0.031 1.829 7.528 27.1162 1 21.3918 1 7.141 1 0.546 0 5.931
  780 + 4860 7.613 1 5.4051 1 2.685466 2.7070 0.2930 7.768 71.62 0.031 1.829 7.528 27.1206 1 21.3953 1 7.141 1 0.543 0 5.953
  781 + 4861 7.636 1 5.4047 1 2.686242 2.7057 0.2930 7.768 71.73 0.031 1.829 7.528 27.1295 1 21.4024 1 7.136 1 0.541 0 5.976
  782 + 4862 7.659 1 5.4038 1 2.688037 2.7057 0.2930 7.773 71.73 0.031 1.829 7.528 27.1502 1 21.4188 1 7.136 1 0.539 0 5.999
  783 + 4863 7.681 1 5.4024 1 2.690213 2.7070 0.2930 7.768 71.67 0.030 1.829 7.528 27.1755 1 21.4389 1 7.139 1 0.536 0 6.021
  784 + 4864 7.702 1 5.4007 1 2.691916 2.7057 0.2930 7.768 71.67 0.030 1.829 7.528 27.1958 1 21.4551 1 7.134 1 0.534 0 6.042
  785 + 4865 7.724 1 5.4001 1 2.692879 2.7070 0.2930 7.768 71.65 0.030 1.829 7.528 27.2069 1 21.4640 1 7.138 1 0.533 0 6.064
  786 + 4866 7.746 1 5.4000 1 2.693010 2.7070 0.2930 7.768 71.65 0.030 1.829 7.528 27.2085 1 21.4652 1 7.138 1 0.532 0 6.086
  787 + 4867 7.768 1 5.3998 1 2.692802 2.7070 0.2930 7.768 71.62 0.030 1.829 7.528 27.2063 1 21.4635 1 7.138 1 0.531 0 6.108
  788 + 4868 7.789 1 5.3998 1 2.692330 2.7057 0.2930 7.768 71.59 0.029 1.829 7.528 27.2011 1 21.4594 1 7.134 1 0.530 0 6.129
  789 + 4869 7.810 1 5.4003 1 2.691871 2.7057 0.2930 7.768 71.54 0.029 1.829 7.528 27.1955 1 21.4550 1 7.134 1 0.529 0 6.150
  790 + 4870 7.832 1 5.4004 1 2.691630 2.7070 0.2930 7.768 71.49 0.029 1.829 7.528 27.1928 1 21.4528 1 7.139 1 0.528 0 6.172
  791 + 4871 7.855 1 5.4009 1 2.691277 2.7070 0.2930 7.768 71.49 0.029 1.829 7.528 27.1884 1 21.4493 1 7.139 1 0.527 0 6.195
  792 + 4872 7.878 1 5.4011 1 2.690997 2.7057 0.2930 7.768 71.62 0.029 1.829 7.560 27.1852 1 21.4467 1 7.135 1 0.527 0 6.218
  793 + 4873 7.899 1 5.4012 1 2.690909 2.7057 0.2930 7.768 71.81 0.028 1.829 7.528 27.1841 1 21.4458 1 7.135 1 0.527 0 6.239
  794 + 4874 7.920 1 5.4009 1 2.690932 2.7057 0.2930 7.768 72.05 0.028 1.829 7.528 27.1846 1 21.4462 1 7.135 1 0.528 0 6.260
  795 + 4875 7.941 1 5.4009 1 2.691079 2.7057 0.3297 7.768 72.18 0.028 1.829 7.528 27.1862 1 21.4475 1 7.135 1 0.528 0 6.281
  796 + 4876 7.964 1 5.4011 1 2.690838 2.7057 0.3297 7.768 72.18 0.028 1.829 7.528 27.1833 1 21.4453 1 7.135 1 0.528 0 6.304
  797 + 4877 7.987 1 5.4014 1 2.690001 2.7057 0.3297 7.773 72.15 0.028 1.829 7.528 27.1738 1 21.4377 1 7.135 1 0.529 0 6.327
  798 + 4878 8.010 1 5.4019 1 2.689266 2.7070 0.3297 7.768 72.13 0.027 1.829 7.528 27.1652 1 21.4309 1 7.140 1 0.529 0 6.350
  799 + 4879 8.032 1 5.4022 1 2.688958 2.7057 0.3297 7.768 72.07 0.027 1.829 7.560 27.1615 1 21.4279 1 7.136 1 0.530 0 6.372
  800 + 4880 8.054 1 5.4020 1 2.689252 2.7057 0.3297 7.768 71.94 0.027 1.829 7.560 27.1649 1 21.4306 1 7.136 1 0.531 0 6.394
  801 + 4881 8.076 1 5.4012 1 2.689774 2.7057 0.2930 7.768 71.89 0.027 1.829 7.528 27.1714 1 21.4358 1 7.135 1 0.532 0 6.416
  802 + 4882 8.098 1 5.4007 1 2.690483 2.7057 0.2930 7.768 71.97 0.027 1.829 7.560 27.1797 1 21.4424 1 7.135 1 0.533 0 6.438
  803 + 4883 8.120 1 5.4001 1 2.691812 2.7057 0.3297 7.768 72.02 0.026 1.829 7.528 27.1949 1 21.4545 1 7.135 1 0.534 0 6.460
  804 + 4884 8.142 1 5.3990 1 2.694238 2.7057 0.3297 7.768 72.05 0.026 1.829 7.528 27.2228 1 21.4766 1 7.134 1 0.535 0 6.482
  805 + 4885 8.164 1 5.3977 1 2.697939 2.7057 0.3297 7.768 72.02 0.026 1.829 7.528 27.2650 1 21.5101 1 7.132 1 0.536 0 6.504
  806 + 4886 8.185 1 5.3957 1 2.702254 2.7070 0.3297 7.768 71.97 0.026 1.829 7.528 27.3146 1 21.5495 1 7.134 1 0.536 0 6.525
  807 + 4887 8.207 1 5.3934 1 2.706131 2.7057 0.2930 7.768 71.97 0.026 1.829 7.528 27.3596 1 21.5852 1 7.128 1 0.536 0 6.547
  808 + 4888 8.230 1 5.3923 1 2.708742 2.7057 0.2930 7.768 72.07 0.026 1.829 7.528 27.3895 1 21.6090 1 7.127 1 0.536 0 6.570
  809 + 4889 8.253 1 5.3913 1 2.710412 2.7057 0.2930 7.768 72.23 0.025 1.829 7.528 27.4089 1 21.6244 1 7.126 1 0.536 0 6.593
  810 + 4890 8.277 1 5.3907 1 2.711869 2.7057 0.2930 7.768 72.39 0.025 1.829 7.528 27.4256 1 21.6377 1 7.126 1 0.536 0 6.617
  811 + 4891 8.299 1 5.3900 1 2.713128 2.7070 0.2930 7.768 72.45 0.025 1.829 7.528 27.4402 1 21.6493 1 7.129 1 0.537 0 6.639
  812 + 4892 8.322 1 5.3897 1 2.713953 2.7057 0.2930 7.768 72.34 0.025 1.829 7.560 27.4496 1 21.6567 1 7.125 1 0.537 0 6.662
  813 + 4893 8.345 1 5.3895 1 2.714473 2.7057 0.2930 7.768 72.29 0.025 1.829 7.528 27.4555 1 21.6615 1 7.124 1 0.537 0 6.685
  814 + 4894 8.368 1 5.3892 1 2.714863 2.7057 0.2930 7.768 72.26 0.025 1.829 7.528 27.4601 1 21.6651 1 7.124 1 0.537 0 6.708
  815 + 4895 8.390 1 5.3891 1 2.715265 2.7045 0.2930 7.768 72.21 0.025 1.829 7.528 27.4647 1 21.6687 1 7.120 1 0.536 0 6.730
  816 + 4896 8.411 1 5.3891 1 2.715860 2.7057 0.2930 7.768 72.07 0.024 1.829 7.528 27.4713 1 21.6739 1 7.124 1 0.535 0 6.751
  817 + 4897 8.432 1 5.3889 1 2.716652 2.7057 0.2930 7.768 72.05 0.024 1.829 7.528 27.4802 1 21.6810 1 7.123 1 0.534 0 6.772
  818 + 4898 8.455 1 5.3886 1 2.717585 2.7057 0.2930 7.768 72.26 0.024 1.829 7.528 27.4909 1 21.6895 1 7.123 1 0.534 0 6.795
  819 + 4899 8.477 1 5.3884 1 2.718665 2.7057 0.2930 7.768 72.71 0.024 1.829 7.528 27.5030 1 21.6991 1 7.123 1 0.533 0 6.817
  820 + 4900 8.500 1 5.3882 1 2.720209 2.7057 0.2930 7.768 73.11 0.024 1.829 7.560 27.5204 1 21.7128 1 7.122 1 0.532 0 6.840
  821 + 4901 8.523 1 5.3879 1 2.722325 2.7045 0.2930 7.768 73.30 0.024 1.829 7.528 27.5442 1 21.7317 1 7.117 1 0.530 0 6.863
  822 + 4902 8.545 1 5.3876 1 2.724995 2.7057 0.2930 7.768 73.36 0.024 1.829 7.528 27.5742 1 21.7554 1 7.119 1 0.529 0 6.885
  823 + 4903 8.566 1 5.3874 1 2.729053 2.7057 0.2930 7.768 73.28 0.024 1.829 7.560 27.6195 1 21.7912 1 7.117 1 0.528 0 6.906
  824 + 4904 8.588 1 5.3870 1 2.734020 2.7057 0.2930 7.768 73.14 0.024 1.829 7.528 27.6752 1 21.8352 1 7.115 1 0.527 0 6.928
  825 + 4905 8.610 1 5.3868 1 2.738197 2.7057 0.2930 7.768 73.09 0.024 1.829 7.528 27.7219 1 21.8722 1 7.113 1 0.526 0 6.950
  826 + 4906 8.631 1 5.3871 1 2.741221 2.7057 0.2930 7.768 73.06 0.023 1.829 7.528 27.7553 1 21.8986 1 7.111 1 0.526 0 6.971
  827 + 4907 8.652 1 5.3871 1 2.744023 2.7057 0.2930 7.768 72.98 0.023 1.829 7.528 27.7866 1 21.9232 1 7.110 1 0.525 0 6.992
  828 + 4908 8.674 1 5.3873 1 2.746595 2.7057 0.2564 7.768 72.82 0.023 1.829 7.528 27.8151 1 21.9457 1 7.108 1 0.525 0 7.014
  829 + 4909 8.698 1 5.3873 1 2.748140 2.7057 0.2930 7.768 72.71 0.023 1.829 7.528 27.8323 1 21.9593 1 7.108 1 0.525 0 7.038
  830 + 4910 8.721 1 5.3874 1 2.749100 2.7057 0.2930 7.768 72.82 0.023 1.829 7.560 27.8429 1 21.9677 1 7.107 1 0.524 0 7.061
  831 + 4911 8.742 1 5.3874 1 2.750180 2.7057 0.3297 7.768 72.93 0.023 1.829 7.528 27.8549 1 21.9772 1 7.107 1 0.523 0 7.082
  832 + 4912 8.762 1 5.3878 1 2.751261 2.7057 0.3297 7.768 72.93 0.023 1.829 7.528 27.8666 1 21.9864 1 7.106 1 0.522 0 7.102
  833 + 4913 8.783 1 5.3879 1 2.752177 2.7045 0.2930 7.768 72.77 0.023 1.829 7.528 27.8768 1 21.9944 1 7.102 1 0.521 0 7.123
  834 + 4914 8.805 1 5.3881 1 2.752803 2.7045 0.2564 7.768 72.61 0.023 1.829 7.528 27.8836 1 21.9998 1 7.101 1 0.520 0 7.145
  835 + 4915 8.827 1 5.3879 1 2.752996 2.7057 0.2564 7.768 72.55 0.023 1.829 7.560 27.8859 1 22.0016 1 7.105 1 0.519 0 7.167
  836 + 4916 8.850 1 5.3881 1 2.753038 2.7045 0.2930 7.768 72.82 0.023 1.829 7.528 27.8862 1 22.0018 1 7.101 1 0.519 0 7.190
  837 + 4917 8.871 1 5.3882 1 2.753107 2.7045 0.2930 7.768 73.14 0.023 1.829 7.560 27.8868 1 22.0024 1 7.101 1 0.519 0 7.211
  838 + 4918 8.893 1 5.3881 1 2.753443 2.7057 0.2564 7.764 73.28 0.022 1.829 7.528 27.8907 1 22.0054 1 7.105 1 0.519 0 7.233
  839 + 4919 8.915 1 5.3884 1 2.754121 2.7057 0.2564 7.764 73.22 0.022 1.829 7.528 27.8980 1 22.0111 1 7.104 1 0.518 0 7.255
  840 + 4920 8.937 1 5.3886 1 2.754605 2.7045 0.2930 7.764 73.09 0.022 1.829 7.560 27.9032 1 22.0152 1 7.100 1 0.518 0 7.277
  841 + 4921 8.958 1 5.3884 1 2.754486 2.7045 0.2564 7.768 73.06 0.022 1.829 7.528 27.9020 1 22.0143 1 7.101 1 0.517 0 7.298
  842 + 4922 8.979 1 5.3882 1 2.753868 2.7057 0.2564 7.764 73.17 0.022 1.829 7.528 27.8953 1 22.0090 1 7.105 1 0.518 0 7.319
  843 + 4923 9.000 1 5.3884 1 2.753273 2.7057 0.2564 7.768 73.25 0.022 1.829 7.528 27.8885 1 22.0036 1 7.105 1 0.518 0 7.340
  844 + 4924 9.020 1 5.3884 1 2.753098 2.7057 0.2564 7.768 73.25 0.022 1.829 7.528 27.8865 1 22.0021 1 7.105 1 0.518 0 7.360
  845 + 4925 9.040 1 5.3884 1 2.753161 2.7045 0.2564 7.764 73.19 0.022 1.829 7.560 27.8872 1 22.0026 1 7.101 1 0.517 0 7.380
  846 + 4926 9.062 1 5.3884 1 2.753384 2.7033 0.2198 7.768 73.14 0.022 1.829 7.528 27.8897 1 22.0046 1 7.097 1 0.516 0 7.402
  847 + 4927 9.085 1 5.3886 1 2.753987 2.7033 0.2564 7.768 73.17 0.022 1.829 7.528 27.8962 1 22.0097 1 7.097 1 0.515 0 7.425
  848 + 4928 9.109 1 5.3886 1 2.754852 2.7033 0.2564 7.764 73.33 0.022 1.829 7.560 27.9059 1 22.0174 1 7.097 1 0.515 0 7.449
  849 + 4929 9.131 1 5.3889 1 2.755728 2.7045 0.2564 7.764 73.41 0.022 1.829 7.560 27.9154 1 22.0248 1 7.100 1 0.516 0 7.471
  850 + 4930 9.151 1 5.3892 1 2.756525 2.7045 0.2198 7.768 73.36 0.022 1.829 7.528 27.9240 1 22.0316 1 7.100 1 0.515 0 7.491
  851 + 4931 9.173 1 5.3893 1 2.757118 2.7045 0.2564 7.764 73.22 0.021 1.829 7.528 27.9305 1 22.0368 1 7.099 1 0.515 0 7.513
  852 + 4932 9.195 1 5.3892 1 2.757681 2.7045 0.2198 7.768 73.11 0.021 1.829 7.528 27.9369 1 22.0418 1 7.099 1 0.514 0 7.535
  853 + 4933 9.217 1 5.3894 1 2.758262 2.7033 0.2564 7.768 73.17 0.021 1.829 7.528 27.9432 1 22.0468 1 7.095 1 0.515 0 7.557
  854 + 4934 9.237 1 5.3896 1 2.758462 2.7057 0.2564 7.768 73.33 0.021 1.829 7.528 27.9453 1 22.0484 1 7.102 1 0.515 0 7.577
  855 + 4935 9.257 1 5.3892 1 2.758326 2.7045 0.2564 7.768 73.41 0.021 1.829 7.528 27.9441 1 22.0475 1 7.099 1 0.515 0 7.597
  856 + 4936 9.278 1 5.3892 1 2.758116 2.7045 0.2564 7.764 73.33 0.021 1.829 7.528 27.9417 1 22.0456 1 7.099 1 0.514 0 7.618
  857 + 4937 9.299 1 5.3891 1 2.758128 2.7045 0.2564 7.768 73.25 0.021 1.829 7.528 27.9419 1 22.0458 1 7.099 1 0.513 0 7.639
  858 + 4938 9.322 1 5.3894 1 2.758539 2.7045 0.2564 7.768 73.22 0.021 1.829 7.528 27.9462 1 22.0492 1 7.099 1 0.513 0 7.662
  859 + 4939 9.345 1 5.3894 1 2.758790 2.7045 0.2564 7.768 73.38 0.021 1.829 7.528 27.9490 1 22.0514 1 7.099 1 0.512 0 7.685
  860 + 4940 9.366 1 5.3892 1 2.758751 2.7045 0.2564 7.764 73.68 0.021 1.829 7.528 27.9488 1 22.0512 1 7.099 1 0.511 0 7.706
  861 + 4941 9.386 1 5.3894 1 2.758849 2.7057 0.2564 7.768 73.78 0.021 1.829 7.560 27.9497 1 22.0519 1 7.102 1 0.511 0 7.726
  862 + 4942 9.406 1 5.3897 1 2.759243 2.7057 0.2564 7.764 73.76 0.021 1.829 7.560 27.9538 1 22.0551 1 7.102 1 0.511 0 7.746
  863 + 4943 9.427 1 5.3897 1 2.759755 2.7045 0.2564 7.764 73.65 0.020 1.829 7.560 27.9595 1 22.0596 1 7.098 1 0.511 0 7.767
  864 + 4944 9.451 1 5.3897 1 2.760279 2.7045 0.2564 7.764 73.65 0.020 1.829 7.528 27.9653 1 22.0642 1 7.098 1 0.511 0 7.791
  865 + 4945 9.472 1 5.3897 1 2.760945 2.7045 0.2564 7.768 73.73 0.020 1.829 7.528 27.9728 1 22.0701 1 7.098 1 0.510 0 7.812
  866 + 4946 9.491 1 5.3908 1 2.762683 2.7033 0.2564 7.764 73.84 0.020 1.829 7.528 27.9912 1 22.0846 1 7.093 1 0.509 0 7.831
  867 + 4947 9.512 1 5.3913 1 2.764556 2.7045 0.2564 7.768 73.86 0.020 1.829 7.528 28.0117 1 22.1007 1 7.095 1 0.507 0 7.852
  868 + 4948 9.535 1 5.3919 1 2.765901 2.7045 0.2564 7.768 73.78 0.020 1.829 7.528 28.0262 1 22.1121 1 7.095 1 0.505 0 7.875
  869 + 4949 9.558 1 5.3925 1 2.767616 2.7045 0.2564 7.768 73.76 0.020 1.829 7.528 28.0448 1 22.1268 1 7.094 1 0.502 0 7.898
  870 + 4950 9.579 1 5.3928 1 2.769137 2.7045 0.2930 7.768 73.86 0.020 1.829 7.528 28.0616 1 22.1399 1 7.093 1 0.499 0 7.919
  871 + 4951 9.599 1 5.3929 1 2.768751 2.7033 0.2930 7.768 74.00 0.020 1.829 7.528 28.0571 1 22.1364 1 7.089 1 0.496 0 7.939
  872 + 4952 9.620 1 5.3928 1 2.768354 2.7033 0.2930 7.768 74.00 0.020 1.829 7.528 28.0528 1 22.1330 1 7.090 1 0.492 0 7.960
  873 + 4953 9.641 1 5.3929 1 2.769783 2.7045 0.2564 7.768 73.92 0.020 1.829 7.528 28.0686 1 22.1455 1 7.093 1 0.488 0 7.981
  874 + 4954 9.662 1 5.3938 1 2.772081 2.7045 0.2564 7.768 73.78 0.020 1.829 7.560 28.0935 1 22.1651 1 7.091 1 0.483 0 8.002
  875 + 4955 9.682 1 5.3941 1 2.773665 2.7045 0.2564 7.768 73.78 0.020 1.829 7.560 28.1110 1 22.1788 1 7.091 1 0.477 0 8.022
  876 + 4956 9.701 1 5.3946 1 2.773462 2.7045 0.2564 7.764 73.89 0.020 1.829 7.528 28.1083 1 22.1767 1 7.091 1 0.471 0 8.041
  877 + 4957 9.721 1 5.3943 1 2.771577 2.7045 0.2564 7.768 74.08 0.020 1.829 7.560 28.0875 1 22.1603 1 7.092 1 0.465 0 8.061
  878 + 4958 9.740 1 5.3939 1 2.769966 2.7045 0.2564 7.768 74.21 0.020 1.829 7.560 28.0698 1 22.1463 1 7.093 1 0.459 0 8.080
  879 + 4959 9.759 1 5.3934 1 2.768986 2.7045 0.2564 7.768 74.18 0.020 1.829 7.560 28.0593 1 22.1381 1 7.093 1 0.453 0 8.099
  880 + 4960 9.777 1 5.3934 1 2.768401 2.7045 0.2564 7.768 74.02 0.020 1.829 7.528 28.0527 1 22.1329 1 7.093 1 0.446 0 8.117
  881 + 4961 9.796 1 5.3929 1 2.768315 2.7045 0.2564 7.768 73.84 0.020 1.829 7.528 28.0522 1 22.1325 1 7.094 1 0.440 0 8.136
  882 + 4962 9.815 1 5.3933 1 2.768397 2.7045 0.2564 7.768 73.76 0.020 1.829 7.528 28.0528 1 22.1329 1 7.094 1 0.434 0 8.155
  883 + 4963 9.832 1 5.3933 1 2.768261 2.7045 0.2564 7.768 73.76 0.019 1.829 7.528 28.0512 1 22.1317 1 7.094 1 0.428 0 8.172
  884 + 4964 9.848 1 5.3933 1 2.767812 2.7033 0.2564 7.768 73.78 0.019 1.829 7.560 28.0462 1 22.1278 1 7.090 1 0.422 0 8.188
  885 + 4965 9.864 1 5.3929 1 2.767680 2.7033 0.2564 7.768 73.78 0.019 1.829 7.528 28.0451 1 22.1269 1 7.090 1 0.416 0 8.204
  886 + 4966 9.881 1 5.3931 1 2.768404 2.7045 0.2564 7.768 73.70 0.019 1.829 7.434 28.0530 1 22.1331 1 7.094 1 0.411 0 8.221
  887 + 4967 9.899 1 5.3936 1 2.768987 2.7045 0.2564 7.768 73.68 0.019 1.829 7.026 28.0591 1 22.1379 1 7.093 1 0.406 0 8.239
  888 + 4968 9.915 1 5.3933 1 2.768805 2.7045 0.2564 7.768 73.65 0.019 1.829 6.901 28.0573 1 22.1365 1 7.093 1 0.401 0 8.255
  889 + 4969 9.931 1 5.3934 1 2.769067 2.7045 0.2564 7.768 73.57 0.019 1.829 6.901 28.0601 1 22.1387 1 7.093 1 0.397 0 8.271
  890 + 4970 9.948 1 5.3941 1 2.771085 2.7045 0.2564 7.768 73.49 0.019 1.829 6.932 28.0820 1 22.1560 1 7.092 1 0.393 0 8.288
  891 + 4971 9.965 1 5.3951 1 2.773417 2.7045 0.2930 7.768 73.46 0.019 1.829 6.932 28.1072 1 22.1758 1 7.091 1 0.388 0 8.305
  892 + 4972 9.981 1 5.3953 1 2.774694 2.7033 0.2930 7.768 73.41 0.019 1.829 6.932 28.1213 1 22.1869 1 7.086 1 0.384 0 8.321
  893 + 4973 9.997 1 5.3955 1 2.776062 2.7045 0.2930 7.768 73.44 0.019 1.829 6.932 28.1364 1 22.1988 1 7.089 1 0.380 0 8.337
  894 + 4974 10.012 1 5.3962 1 2.777632 2.7045 0.2564 7.768 73.49 0.019 1.829 6.932 28.1533 1 22.2121 1 7.089 1 0.376 0 8.352
  895 + 4975 10.027 1 5.3964 1 2.778681 2.7045 0.2564 7.768 73.57 0.019 1.829 6.932 28.1649 1 22.2212 1 7.088 1 0.373 0 8.367
  896 + 4976 10.042 1 5.3967 1 2.779190 2.7045 0.2564 7.768 73.65 0.019 1.829 6.932 28.1703 1 22.2255 1 7.088 1 0.370 0 8.382
  897 + 4977 10.058 1 5.3969 1 2.779271 2.7045 0.2564 7.768 73.62 0.019 1.829 6.932 28.1710 1 22.2260 1 7.088 1 0.367 0 8.398
  898 + 4978 10.073 1 5.3967 1 2.779026 2.7045 0.2564 7.768 73.62 0.019 1.829 6.932 28.1684 1 22.2240 1 7.088 1 0.364 0 8.413
  899 + 4979 10.089 1 5.3965 1 2.778707 2.7045 0.2564 7.764 73.62 0.019 1.829 6.932 28.1650 1 22.2213 1 7.088 1 0.362 0 8.429
  900 + 4980 10.104 1 5.3964 1 2.778314 2.7057 0.2564 7.768 73.65 0.019 1.829 6.901 28.1607 1 22.2179 1 7.092 1 0.359 0 8.444
  901 + 4981 10.118 1 5.3962 1 2.777932 2.7057 0.2564 7.768 73.73 0.019 1.829 6.932 28.1566 1 22.2147 1 7.092 1 0.358 0 8.458
  902 + 4982 10.131 1 5.3960 1 2.777442 2.7045 0.2564 7.768 73.94 0.019 1.829 6.932 28.1513 1 22.2105 1 7.089 1 0.356 0 8.471
  903 + 4983 10.144 1 5.3959 1 2.777351 2.7045 0.2564 7.768 74.29 0.019 1.829 6.932 28.1504 1 22.2098 1 7.089 1 0.354 0 8.484
  904 + 4984 10.160 1 5.3962 1 2.777524 2.7045 0.2198 7.768 74.74 0.019 1.829 6.901 28.1521 1 22.2111 1 7.089 1 0.353 0 8.500
  905 + 4985 10.175 1 5.3964 1 2.777775 2.7045 0.2564 7.764 75.22 0.019 1.829 6.932 28.1547 1 22.2132 1 7.089 1 0.352 0 8.515
  906 + 4986 10.190 1 5.3965 1 2.778420 2.7045 0.2198 7.768 75.76 0.019 1.829 6.932 28.1618 1 22.2188 1 7.088 1 0.352 0 8.530
  907 + 4987 10.204 1 5.3969 1 2.778889 2.7045 0.2198 7.768 76.27 0.019 1.829 6.932 28.1667 1 22.2226 1 7.088 1 0.351 0 8.544
  908 + 4988 10.218 1 5.3965 1 2.779037 2.7045 0.2564 7.768 76.69 0.019 1.829 6.932 28.1687 1 22.2242 1 7.088 1 0.351 0 8.558
  909 + 4989 10.233 1 5.3967 1 2.779237 2.7045 0.2564 7.768 77.01 0.019 1.829 6.932 28.1707 1 22.2258 1 7.088 1 0.351 0 8.573
  910 + 4990 10.248 1 5.3967 1 2.779380 2.7045 0.2564 7.768 77.31 0.019 1.829 6.932 28.1723 1 22.2271 1 7.088 1 0.352 0 8.588
  911 + 4991 10.263 1 5.3969 1 2.779461 2.7045 0.2564 7.768 77.52 0.019 1.829 6.932 28.1731 1 22.2276 1 7.088 1 0.353 0 8.603
  912 + 4992 10.278 1 5.3969 1 2.779587 2.7045 0.2564 7.768 77.71 0.019 1.829 6.932 28.1745 1 22.2287 1 7.088 1 0.354 0 8.618
  913 + 4993 10.292 1 5.3970 1 2.779725 2.7033 0.2564 7.768 77.90 0.019 1.829 6.932 28.1759 1 22.2299 1 7.084 1 0.356 0 8.632
  914 + 4994 10.307 1 5.3967 1 2.779753 2.7033 0.2564 7.768 78.03 0.019 1.829 6.932 28.1765 1 22.2303 1 7.084 1 0.357 0 8.647
  915 + 4995 10.322 1 5.3970 1 2.779811 2.7045 0.2198 7.768 78.14 0.019 1.829 6.932 28.1769 1 22.2306 1 7.088 1 0.357 0 8.662
  916 + 4996 10.336 1 5.3970 1 2.779835 2.7033 0.2198 7.768 78.24 0.019 1.829 6.932 28.1771 1 22.2308 1 7.084 1 0.357 0 8.676
  917 + 4997 10.350 1 5.3970 1 2.779835 2.7033 0.2564 7.768 78.24 0.018 1.829 6.932 28.1771 1 22.2308 1 7.084 1 0.357 0 8.690
  918 + 4998 10.365 1 5.3970 1 2.779853 2.7033 0.2564 7.768 78.32 0.018 1.829 6.932 28.1773 1 22.2310 1 7.084 1 0.358 0 8.705
  919 + 4999 10.381 1 5.3970 1 2.779899 2.7045 0.2198 7.768 78.32 0.018 1.829 6.932 28.1778 1 22.2314 1 7.088 1 0.358 0 8.721
  920 + 5000 10.396 1 5.3972 1 2.780111 2.7045 0.2564 7.768 78.32 0.018 1.829 6.932 28.1800 1 22.2331 1 7.087 1 0.358 0 8.736
  921 + 5001 10.412 1 5.3969 1 2.779786 2.7033 0.2198 7.768 78.30 0.018 1.829 6.932 28.1766 1 22.2304 1 7.084 1 0.358 0 8.752
  922 + 5002 10.428 1 5.3969 1 2.779211 2.7045 0.2198 7.768 78.27 0.018 1.829 6.932 28.1702 1 22.2253 1 7.088 1 0.358 0 8.768
  923 + 5003 10.444 1 5.3969 1 2.779069 2.7033 0.2198 7.768 78.24 0.018 1.829 6.901 28.1686 1 22.2241 1 7.084 1 0.358 0 8.784
  924 + 5004 10.459 1 5.3967 1 2.779245 2.7033 0.2198 7.768 78.19 0.018 1.829 6.932 28.1707 1 22.2258 1 7.084 1 0.358 0 8.799
  925 + 5005 10.472 1 5.3969 1 2.779326 2.7045 0.2198 7.768 78.24 0.018 1.829 6.932 28.1715 1 22.2264 1 7.088 1 0.359 0 8.812
  926 + 5006 10.486 1 5.3969 1 2.779196 2.7045 0.2564 7.768 78.35 0.018 1.829 6.932 28.1700 1 22.2252 1 7.088 1 0.359 0 8.826
  927 + 5007 10.501 1 5.3967 1 2.778973 2.7033 0.2564 7.768 78.54 0.018 1.829 6.932 28.1677 1 22.2234 1 7.084 1 0.358 0 8.841
  928 + 5008 10.516 1 5.3967 1 2.778831 2.7033 0.2564 7.768 78.70 0.018 1.829 6.932 28.1661 1 22.2221 1 7.085 1 0.358 0 8.856
  929 + 5009 10.532 1 5.3969 1 2.778690 2.7033 0.2564 7.768 78.75 0.018 1.829 6.932 28.1643 1 22.2207 1 7.085 1 0.356 0 8.872
  930 + 5010 10.546 1 5.3967 1 2.778639 2.7033 0.2930 7.768 78.70 0.018 1.829 6.932 28.1639 1 22.2204 1 7.085 1 0.355 0 8.886
  931 + 5011 10.559 1 5.3965 1 2.778741 2.7045 0.2930 7.768 78.67 0.018 1.829 6.932 28.1652 1 22.2215 1 7.088 1 0.354 0 8.899
  932 + 5012 10.573 1 5.3965 1 2.778884 2.7033 0.2930 7.768 78.59 0.018 1.829 6.932 28.1668 1 22.2227 1 7.085 1 0.354 0 8.913
  933 + 5013 10.590 1 5.3969 1 2.779017 2.7033 0.2930 7.768 78.46 0.018 1.829 6.932 28.1679 1 22.2236 1 7.084 1 0.353 0 8.930
  934 + 5014 10.606 1 5.3969 1 2.779148 2.7033 0.2930 7.768 78.32 0.018 1.829 6.932 28.1694 1 22.2247 1 7.084 1 0.352 0 8.946
  935 + 5015 10.621 1 5.3969 1 2.779257 2.7033 0.2930 7.768 78.19 0.018 1.829 6.932 28.1706 1 22.2257 1 7.084 1 0.351 0 8.961
  936 + 5016 10.636 1 5.3969 1 2.779303 2.7033 0.2930 7.768 78.19 0.018 1.829 6.932 28.1711 1 22.2261 1 7.084 1 0.351 0 8.976
  937 + 5017 10.651 1 5.3967 1 2.779394 2.7033 0.2930 7.768 78.30 0.018 1.829 6.932 28.1723 1 22.2270 1 7.084 1 0.351 0 8.991
  938 + 5018 10.664 1 5.3969 1 2.779595 2.7045 0.2564 7.768 78.38 0.018 1.829 6.932 28.1744 1 22.2287 1 7.088 1 0.351 0 9.004
  939 + 5019 10.677 1 5.3970 1 2.779983 2.7033 0.2564 7.768 78.43 0.018 1.829 6.932 28.1786 1 22.2320 1 7.084 1 0.351 0 9.017
  940 + 5020 10.691 1 5.3974 1 2.780401 2.7033 0.2564 7.768 78.51 0.018 1.829 6.932 28.1829 1 22.2354 1 7.084 1 0.351 0 9.031
  941 + 5021 10.707 1 5.3974 1 2.780623 2.7033 0.2564 7.768 78.59 0.018 1.829 6.901 28.1854 1 22.2373 1 7.084 1 0.351 0 9.047
  942 + 5022 10.722 1 5.3972 1 2.780504 2.7033 0.2930 7.768 78.62 0.018 1.829 6.932 28.1842 1 22.2364 1 7.084 1 0.352 0 9.062
  943 + 5023 10.737 1 5.3970 1 2.780213 2.7021 0.2564 7.768 78.51 0.018 1.829 6.901 28.1812 1 22.2340 1 7.080 1 0.352 0 9.077
  944 + 5024 10.751 1 5.3970 1 2.779837 2.7033 0.2564 7.768 78.32 0.018 1.829 6.901 28.1770 1 22.2307 1 7.084 1 0.352 0 9.091
  945 + 5025 10.764 1 5.3969 1 2.779478 2.7033 0.2564 7.768 78.24 0.018 1.829 6.932 28.1730 1 22.2276 1 7.084 1 0.353 0 9.104
  946 + 5026 10.779 1 5.3967 1 2.779199 2.7033 0.2564 7.768 78.32 0.018 1.829 6.932 28.1701 1 22.2253 1 7.085 1 0.353 0 9.119