RailwayData @ a1c322dbb8f1a2119dd0cef4fb2004f7df89f9ef UserData @ ff31262d9fff76321e1aa4fd1b9736b6b448bcd4 DataProcessing @ 2cc40e097919a510f1c800ff7c14842e2f68c8d1 Start: Sun May 26 23:04:18 2024 [0.0] Making list of travelers. [0.0] Reading region, country, and continent descriptions. [0.0] Reading systems list in /fast/home/terescoj/travelmapping/RailwayData/systems.csv.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.2] Finding all .wpt files. 5587 files found. [0.3] Reading waypoints for all routes. argtaold argtaor argmit argbs argroca argsar argsm argtad argurq argsub argmetmen argsubp argtc ausnswtl ausqrt austwa ausvln ausasr ausmtm ausqrc ausst austto aussm ausat ausbt auscm ausgclr ausnlr ausslr ausyt autsk autso autss autsst autst autsv autsw autus autuw autstgm autstg autsti autstl autstw belic bell belrsa belrsb belrsc belrsg belrsl belbm belcm belat belbt belgt belkt bgrsm bgrst bolmtc braefc braefvm braet brasv bratmsp brametba brambh bramdf bramfor brametrec brametrio brametsp bratu brabst bracbtujp bracbtumac bracbtunat braemtu bramforvlt bravltrec brametter bravltrio braair bratc canvia canexo cango cankrc canonrcantsh cantst canwce canmvrd canstm canttc canct canets canion canot canrem canair canedmsc cantsc cheags chebes chebss chechs chefrrer chelx chesgs cheshs chesob chesos chetirc chevdrer chezhs chezss chelm chebet chebst cheget chezht chlefer chlefep chlefes chlefeu chlms colmm colmmt czeduk czedukt czeem czeep czeidol czeiredo czevmjk czemp czetb czetl czetml czetol czetos czetpl czetp deubs deubss deufrs deuhbs deudds deuhhs deuhs deukas deuls deumds deums deuns deurms deurns deuros deurrs deuss deuulrs deubu deubisb deucc deufu deuhhu deuhsb deuksrt deumu deunu deurssb deurru deusb deusu deuws deuat deubt deubrbt deubst deuhbt deuct deuctt deudat deudet deuddt deueft deuft deufft deufrt deugt deugrt deugtht deuhbst deuhalt deujt deukat deukst deult deumdt deumzt deumt deunmbt deundht deunt deuplt deurnt deurrt deurot deusnt deuswat deuult deuwut deuzt deuddb deunwh dnkks dnkkm ecumq ecutc espca espcc espcm espcma espcmu espcsa espcs espcv espcz espet espfs esprab esprad esprc esprf espsfm espbm espmb espmvbl espmm espmma espmp espms espmv espetb espmg espmlm espta esptb esptbc esptmu espts esptt esptv esptz eures euret eurapm eurf eurhr fracp frahdfterk frahdfterc frahdfterp franaqterd franaqterf franaqterl frarer fratra frattu frallm fralym framam frapm frarm fratm fraant fraaut frabet frabrt frabt fracft fract fradt fragt fraidft frallt fralht fralmt fralyt framat framot framut franat franit fraot fraret frarot fraset frast fratot fratt fravt gbncs gbngc gbngr gbngx gbnht gbnhx gbnld gbnsx gbnvt gbnxc gbnaw gbncc gbnch gbnem gbngn gbngw gbnle gbnln gbnlo gbnme gbnnr gbnse gbnsn gbnsr gbnsw gbntl gbntp gbnwm gbnxr irlnir gbndlr gbngs gbnlu gbntwm gbnbt gbnet gbnlt gbnman gbnnet gbnss gbnwmm hkgmtr hkghkt hkglr hkgop hkgpt hrvzt hunbm hunbt imnimr indcmrl irlent irlie irlluas itafl itanf itanr itans itanv itagu itams itatfm itafc itagm itamm itanm itarm itatm itart itamt itant itatt jpnjrsks jpnjrc jpnjre jpnjrh jpnjrk jpnjrs jpnjrw jpnlexc jpnlexe jpnlexh jpnlexk jpnlexs jpnlexw jpntlxk jpntlxw jpn7star jpnrhku jpnrhsn jpnrkeo jpnrkhn jpnrkin jpnrkku jpnrksi jpnrmtu jpnrnki jpnrnnr jpnrodk jpnrsbu jpnrshd jpnrsot jpnrtbu jpnrtku jpnvsgc jpnvsge jpnvsgh jpnvsgk jpnvsgw jpnvech jpnveiz jpnvetr jpnvhch jpnvhkr jpnvicb jpnviyo jpnvizh jpnvkmm jpnvknn jpnvkto jpnvktr jpnvohm jpnvsng jpnvsnn jpnvsny jpnvtch jpnvtke jpnvtos jpnmtfk jpnmtkb jpnmtky jpnmtng jpnmtos jpnmtse jpnmtsp jpnmtto jpnmtyk jpnmono jpnagt jpnagtk jpntmen jpntmfi jpntmhi jpntmhk jpntmkg jpntmkm jpntmky jpntmmy jpntmna jpntmok jpntmos jpntmsp jpntmta jpntmth jpntmto jpntmty jpntmut jpndmv jpnfuni jpntour luxcfl luxst mexchp mexciit mextm mexfs mexins mexsiteur mexstc mexstcm mexste nldic nldre nldrs nldam nldrm nldat nldht nldrt nldut norf norft norre norr norl norot norbb norto nzlatm nzlkr nzlwm perml polksl polpkm polskam polskmb polskmt polskmw polwkd polwm polbt polct polet polgdt polgwt polgrt polkt pollt polot polpt polslt polszt poltt polwt polwrt roubm roubt sgpmrt sgplrt srbbt svkzdb svkedb svkedk svktez swesj swesl swest swess turib turim turit turif uryafe usaarr usablfx usacfr usacndx usalirr usamarc usambtx usametx usamncw usanctc usanjtr usanmrx usartdx usascax usasepa usautax usavrex usatr usatrcx usaace usajpbx usasmart usanicd usamnrx usawes usanrtx usacmr usadcta usatex usatre usasdrx usabmsl usambta usapatco usasepta usanycs usapath usasir usawdw usawmat usamarta usamdt usarta usacta usalvm usalams usabart usaharthi usatu usablrl usanfta usadcsc usalynx usambtlr usamtlr usanjlr usaseplr usapitlr usatide usartalr usadart usamtahc usavmr usautat usalamlr usamts usartdz usamuni usasrt usavta usabsda usanorta usamax usastlr usaebart usaair usahart usahunhts usair usajta usakcsc usalvct usammm usarooist usasfcc usatsc usawvuprt usautas usarrm usast usaatlsc usadpm usaql usacc usaokcsc usamata usadsc usaelpsc usagal usamck usakensc usamkehop usapsc usawst usascm usassc nawpy usaamtk [0.5] Sorting waypoints in Quadtree. [0.5] Finding unprocessed wpt files. 480 .wpt files in /fast/home/terescoj/travelmapping/RailwayData/data not processed, see unprocessedwpts.log. [0.5] Searching for near-miss points. [0.6] Near-miss point log and tm-master.nmp file. [0.7] Concurrent segment detection.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.8] Creating label hashes and checking route integrity. [0.8] Reading updates file. [0.8] Reading systemupdates file. [0.8] Processing traveler list files: NocoRails bartpetat bubaclex aznate cl94 communityrailpartnerships cockroachking deathtopumpkins duke87 ecoDuck7 imgoph londonpayg kurzov markkos1992 michih oyster neroute2 panda80 psvenk scenicrailbritain si404 ssoworld terescoj testmta theFXexpert the_spui_ninja [0.8] Processed 26 traveler list files. [0.8] Clearing route & label hash tables. [0.8] Writing route and label logs. [0.8] Augmenting travelers for detected concurrent segments...........................! [0.8] Writing to concurrencies.log. [0.8] Computing stats..........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................! [0.8] Writing routedatastats.log. [0.8] Creating per-traveler stats logs and augmenting data structure...........................! [0.9] Writing stats csv files. [0.9] Writing allbyregionactiveonly.csv. [0.9] Writing allbyregionactivepreview.csv. [0.9] Writing per-system stats csv files. [0.9] Reading datacheckfps.csv. [0.9] Marking datacheck false positives..............! [1.0] Found 13176 datacheck errors and matched 0 FP entries. [1.0] Writing log of unmatched datacheck FP entries. [1.0] Writing datacheck.log [1.0] Reading subgraph descriptions and checking for errors. [1.0] Start writing database file TravelMappingRail-2024-05-26@23:04:17.sql. [1.0] Setting up for graphs of highway data. [1.0] Creating unique names and vertices.......! [1.1] Estimating failsafe edge array size: 127114 total active/preview segments, 18666 hidden vertices [1.1] Creating edges............................................................................................................! [1.2] Compressing collapsed edges......ERROR: segment name mismatch in HGEdge collapse constructor: edge1 named BLp,BLp,NSLn edge2 named NSLn .! [1.2] Creating per-region vertex & edge sets. [1.2] Creating per-system vertex & edge sets. [1.2] Master graph construction complete. Destroying temporary variables. [1.2] Writing graph waypoint simplification log. [1.2] Writing master TM graph files. Simple graph has 68518 vertices, 71135 edges. Collapsed graph has 52877 vertices, 55494 edges. Traveled graph has 52907 vertices, 55524 edges. [1.2] Writing continent graphs. AFR (27,26) (27,26) (27,26) ASI (11837,12291) (9875,10329) (9875,10329) EUR (39794,41784) (32731,34721) (32760,34750) NA (10751,10836) (6198,6283) (6199,6284) OCE (3286,3383) (2201,2298) (2201,2298) SA (2823,2815) (1845,1837) (1845,1837) [2.8] Writing multisystem graphs. RoundelRail (549,626) (505,582) (505,582) MTA (926,969) (788,831) (788,831) NYC (1262,1314) (1012,1064) (1012,1064) NJ (346,349) (239,242) (239,242) SEPTA (531,537) (502,508) (502,508) Philly (552,558) (516,522) (516,522) DCArea (274,285) (180,191) (180,191) Boston (429,442) (283,296) (283,296) NWCor (2648,2735) (2047,2134) (2047,2134) Chicago (630,634) (419,423) (419,423) LAMet (170,171) (107,108) (107,108) LosAngeles (399,403) (183,187) (183,187) RTA (74,73) (53,52) (53,52) SanFran (319,318) (255,254) (255,254) Montreal (105,105) (75,75) (75,75) Toronto (470,500) (401,431) (401,431) Amsterdam (251,282) (236,267) (236,267) Antwerp (287,309) (257,279) (257,279) Barcelona (259,289) (248,278) (248,278) MetroBarcelona (209,229) (199,219) (199,219) Basel (302,319) (272,289) (272,289) Berlin (894,962) (861,929) (861,929) Bern (239,244) (216,221) (216,221) Bilbao (105,105) (92,92) (92,92) BiTCity (142,147) (133,138) (133,138) Bodensee (393,402) (304,313) (304,313) Bremen (298,305) (252,259) (254,261) Brno (479,489) (387,397) (387,397) Brussels (580,651) (533,604) (533,604) Cadiz (37,36) (30,29) (30,29) Charleroi (162,165) (124,127) (124,127) Chemnitz (143,146) (122,125) (123,126) Dresden (363,385) (334,356) (335,357) Breisgau (180,183) (147,150) (148,151) Gdansk (222,236) (199,213) (199,213) Geneva (161,166) (131,136) (131,136) Genoa (99,101) (69,71) (69,71) Ghent (139,142) (123,126) (123,126) Graz (297,301) (231,235) (231,235) Hamburg (202,210) (181,189) (181,189) Hannover (342,349) (285,292) (285,292) Innsbruck (289,294) (229,234) (229,234) Karlsruhe (507,520) (464,477) (467,480) Kassel (186,190) (166,170) (166,170) Krakow (260,279) (234,253) (234,253) Lausanne (163,164) (127,128) (127,128) Liberec (313,313) (231,231) (231,231) Lille (95,99) (92,96) (92,96) Linz (171,172) (142,143) (142,143) Lyon (141,153) (139,151) (139,151) Madrid (438,506) (380,448) (380,448) Malaga (49,48) (41,40) (41,40) Marseille (60,63) (60,63) (60,63) Milan (618,696) (561,639) (561,639) LeipzigHalle (694,721) (632,659) (636,663) Magdeburg (190,192) (171,173) (173,175) Munich (442,470) (417,445) (419,447) MurciaAlicante (160,160) (133,133) (133,133) Naples (307,323) (261,277) (261,277) Nice (113,112) (92,91) (92,91) Nuremburg (247,252) (218,223) (218,223) Ostrava (377,389) (306,318) (306,318) Paris (1180,1329) (1031,1180) (1031,1180) Poznan (272,295) (242,265) (242,265) Prague (1155,1258) (944,1047) (944,1047) Randstad (504,548) (484,528) (484,528) RhineMain (533,551) (491,509) (493,511) RhineNecker (568,585) (498,515) (501,518) Rome (457,471) (367,381) (367,381) Rostock (102,105) (89,92) (89,92) RheinRuhr (1688,1769) (1561,1642) (1568,1649) Sevilla (82,84) (58,60) (58,60) Silesia (664,686) (543,565) (543,565) Stuttgart (332,344) (302,314) (302,314) TERHdF (706,730) (459,483) (459,483) TERAqu (778,787) (360,369) (360,369) Toulouse (70,70) (69,69) (69,69) Turin (335,356) (307,328) (307,328) Ulm (125,124) (102,101) (102,101) Usti (681,697) (474,490) (474,490) Valencia (274,276) (224,226) (224,226) Metrovalencia (163,164) (154,155) (154,155) Vienna (743,859) (651,767) (651,767) Warsaw (371,410) (353,392) (353,392) Zaragoza (33,32) (30,29) (30,29) Zurich (655,713) (566,624) (566,624) Adelaide (133,132) (127,126) (127,126) Melbourne (1051,1132) (1039,1120) (1039,1120) SEQLD (200,200) (182,182) (182,182) Sydney (256,269) (239,252) (239,252) Sxx (7889,8066) (5969,6146) (5992,6169) [4.8] Writing country graphs. AUS (3135,3234) (2090,2189) (2090,2189) BRA (1238,1234) (697,693) (697,693) CAN (3184,3207) (1161,1184) (1161,1184) [5.4] Pause writing database file TravelMappingRail-2024-05-26@23:04:17.sql. DEU (9082,9407) (8265,8590) (8293,8618) ESP (2736,2863) (2197,2324) (2197,2324) FRA (4251,4453) (3352,3554) (3352,3554) GBR (6120,6378) (4428,4686) (4429,4687) ITA (1881,2009) (1618,1746) (1618,1746) MEX (658,671) (345,358) (345,358) USA (6919,6966) (4702,4749) (4703,4750) [6.2] Writing region graphs. AB (218,214) (92,88) (92,88) AK (217,216) (28,27) (28,27) AL (4,3) (4,3) (4,3) AR (17,18) (13,14) (13,14) ARG (956,953) (722,719) (722,719) AUS-ACT (14,13) (14,13) (14,13) AUS-NSW (873,887) (445,459) (445,459) AUS-QLD (613,614) (243,244) (243,244) AUS-SA (133,132) (127,126) (127,126) AUS-VIC (1284,1368) (1142,1226) (1142,1226) AUS-WA (220,220) (121,121) (121,121) AUT (1781,1902) (1465,1586) (1465,1586) AZ (108,108) (77,77) (77,77) BC (612,607) (125,120) (125,120) BEL (1780,1934) (1420,1574) (1420,1574) BGR (203,212) (202,211) (202,211) BOL (35,34) (32,31) (32,31) BRA-AL (21,19) (15,13) (15,13) BRA-BA (29,28) (21,20) (21,20) BRA-CE (120,116) (63,59) (63,59) BRA-DF (29,28) (27,26) (27,26) BRA-ES (36,35) (10,9) (10,9) BRA-MA (103,102) (13,12) (13,12) BRA-MG (187,185) (44,42) (44,42) BRA-PA (29,28) (4,3) (4,3) BRA-PB (14,13) (13,12) (13,12) BRA-PE (53,54) (37,38) (37,38) BRA-PI (16,15) (11,10) (11,10) BRA-RJ (269,269) (198,198) (198,198) BRA-RN (33,32) (28,27) (28,27) BRA-RS (32,31) (23,22) (23,22) BRA-SP (269,279) (192,202) (192,202) CA (1194,1195) (702,703) (702,703) CHE (2112,2232) (1749,1869) (1749,1869) CHL (414,420) (265,271) (265,271) CO (249,236) (125,112) (125,112) COL (43,42) (35,34) (35,34) CT (122,120) (60,58) (60,58) CZE (3138,3296) (2479,2637) (2479,2637) DC (69,71) (63,65) (63,65) DE (10,9) (5,4) (5,4) DEU-BB (315,299) (299,283) (299,283) DEU-BE (739,807) (718,786) (718,786) DEU-BW (1546,1584) (1381,1419) (1385,1423) DEU-BY (912,941) (833,862) (835,864) DEU-HB (213,218) (196,201) (197,202) DEU-HE (677,695) (611,629) (613,631) DEU-HH (176,183) (157,164) (157,164) DEU-MV (143,147) (129,133) (129,133) DEU-NI (511,511) (439,439) (440,440) DEU-NW (1816,1896) (1647,1727) (1655,1735) DEU-RP (238,235) (208,205) (210,207) DEU-SH (24,18) (24,18) (24,18) DEU-SL (47,45) (45,43) (45,43) DEU-SN (1022,1056) (921,955) (925,959) DEU-ST (486,496) (452,462) (456,466) DEU-TH (276,276) (264,264) (264,264) DNK (148,158) (128,138) (128,138) ECU (58,56) (40,38) (40,38) ENG (4600,4840) (3513,3753) (3514,3754) ESP-AN (201,199) (159,157) (159,157) ESP-AR (33,32) (30,29) (30,29) ESP-AS (285,289) (218,222) (218,222) ESP-CB (127,126) (87,86) (87,86) ESP-CL (100,97) (66,63) (66,63) ESP-CM (6,4) (5,3) (5,3) ESP-CN (27,26) (27,26) (27,26) ESP-CT (639,691) (488,540) (488,540) ESP-GA (67,66) (53,52) (53,52) ESP-IB (64,64) (53,53) (53,53) ESP-MC (73,70) (59,56) (59,56) ESP-MD (434,501) (377,444) (377,444) ESP-PV (320,323) (276,279) (276,279) ESP-VC (373,375) (312,314) (312,314) FL (183,182) (116,115) (116,115) FRA-ARA (368,376) (335,343) (335,343) FRA-BFC (68,66) (68,66) (68,66) FRA-BRE (57,56) (57,56) (57,56) FRA-CVL (109,104) (95,90) (95,90) FRA-GES (186,179) (172,165) (172,165) FRA-HDF (780,808) (542,570) (542,570) FRA-IDF (1160,1311) (1011,1162) (1011,1162) FRA-NAQ (882,898) (482,498) (482,498) FRA-NOR (131,124) (112,105) (112,105) FRA-OCC (177,180) (168,171) (168,171) FRA-PAC (180,181) (159,160) (159,160) FRA-PDL (172,170) (170,168) (170,168) GA (98,98) (53,53) (53,53) GGY (3,2) (3,2) (3,2) HI (9,8) (9,8) (9,8) HKG (295,320) (278,303) (278,303) HRV (126,133) (125,132) (125,132) HUN (374,390) (370,386) (370,386) IL (631,633) (423,425) (423,425) IMN (108,104) (96,92) (96,92) IN (23,22) (13,12) (13,12) IND-TN (41,41) (41,41) (41,41) IRL (453,457) (233,237) (233,237) ITA-CAM (318,335) (272,289) (272,289) ITA-LAZ (457,471) (367,381) (367,381) ITA-LIG (103,103) (79,79) (79,79) ITA-LOM (653,731) (582,660) (582,660) ITA-PIE (347,366) (315,334) (315,334) ITA-TRE (5,3) (5,3) (5,3) JPN (11013,11416) (9086,9489) (9086,9489) LA (101,100) (101,100) (101,100) LIE (5,4) (5,4) (5,4) LUX (124,124) (94,94) (94,94) MA (423,435) (281,293) (281,293) MB (290,289) (94,93) (94,93) MD (202,199) (116,113) (116,113) MEX-CAM (43,42) (10,9) (10,9) MEX-CHIH (130,129) (19,18) (19,18) MEX-CHIS (7,6) (2,1) (2,1) MEX-DF (220,237) (177,194) (177,194) MEX-EMEX (30,25) (24,19) (24,19) MEX-JAL (49,49) (45,45) (45,45) MEX-NL (43,43) (38,38) (38,38) MEX-OAX (32,31) (7,6) (7,6) MEX-QROO (16,15) (7,6) (7,6) MEX-SIN (30,29) (7,6) (7,6) MEX-TAB (13,12) (5,4) (5,4) MEX-VER (27,26) (5,4) (5,4) MEX-YUC (28,27) (9,8) (9,8) MI (29,29) (25,25) (25,25) MN (73,70) (48,45) (48,45) MO (52,52) (46,46) (46,46) MT (15,13) (4,2) (4,2) NB (56,55) (11,10) (11,10) NC (44,43) (42,41) (42,41) NIR (112,111) (68,67) (68,67) NJ (368,373) (254,259) (255,260) NL (59,58) (17,16) (17,16) NLD (1074,1150) (934,1010) (934,1010) NM (71,64) (30,23) (30,23) NOR (884,902) (478,496) (478,496) NS (51,50) (5,4) (5,4) NV (68,63) (19,14) (19,14) NY (874,916) (758,800) (758,800) NZL (142,141) (102,101) (102,101) OH (99,98) (71,70) (71,70) OK (30,31) (23,24) (23,24) ON (1174,1201) (551,578) (551,578) OR (189,190) (151,152) (151,152) PA (595,601) (559,565) (559,565) PER (42,40) (31,29) (31,29) POL (2528,2685) (2294,2451) (2294,2451) PR (16,15) (16,15) (16,15) PRY (2,1) (2,1) (2,1) QC (617,616) (257,256) (257,256) RI (12,11) (5,4) (5,4) ROU (340,367) (331,358) (331,358) SCT (891,913) (492,514) (492,514) SD (11,10) (3,2) (3,2) SGP (183,210) (179,206) (179,206) SK (111,109) (18,16) (18,16) SRB (89,92) (85,88) (85,88) SVK (227,233) (195,201) (195,201) SWE (313,323) (271,281) (271,281) TN (32,29) (23,20) (23,20) TUR (305,304) (291,290) (291,290) TX (314,312) (224,222) (224,222) URY (36,35) (22,21) (22,21) UT (145,141) (81,77) (81,77) VA (108,108) (67,67) (67,67) WA (98,92) (59,53) (59,53) WI (40,39) (35,34) (35,34) WLS (528,514) (366,352) (366,352) WV (15,13) (9,7) (9,7) YT (9,8) (4,3) (4,3) ! [8.6] Clearing HighwayGraph contents from memory. [8.6] Resume writing database file TravelMappingRail-2024-05-26@23:04:17.sql. [8.6] Processed 644 highway systems. Processed 5107 routes with a total of 142229 points and 137122 segments. [8.6] WaypointQuadtree contains 6809 total nodes. [8.6] Computing waypoint colocation stats. Waypoint colocation counts: 42879 are each occupied by 1 waypoints. 15063 are each occupied by 2 waypoints. 6609 are each occupied by 3 waypoints. 3288 are each occupied by 4 waypoints. 1650 are each occupied by 5 waypoints. 977 are each occupied by 6 waypoints. 706 are each occupied by 7 waypoints. 471 are each occupied by 8 waypoints. 269 are each occupied by 9 waypoints. 152 are each occupied by 10 waypoints. 131 are each occupied by 11 waypoints. 101 are each occupied by 12 waypoints. 115 are each occupied by 13 waypoints. 62 are each occupied by 14 waypoints. 53 are each occupied by 15 waypoints. 48 are each occupied by 16 waypoints. 32 are each occupied by 17 waypoints. 8 are each occupied by 18 waypoints. 12 are each occupied by 19 waypoints. 11 are each occupied by 20 waypoints. 7 are each occupied by 21 waypoints. 12 are each occupied by 22 waypoints. 7 are each occupied by 23 waypoints. 13 are each occupied by 24 waypoints. 4 are each occupied by 25 waypoints. 6 are each occupied by 26 waypoints. 1 are each occupied by 27 waypoints. 1 are each occupied by 28 waypoints. 3 are each occupied by 29 waypoints. 6 are each occupied by 30 waypoints. 1 are each occupied by 31 waypoints. 2 are each occupied by 32 waypoints. 1 are each occupied by 33 waypoints. 2 are each occupied by 34 waypoints. 0 are each occupied by 35 waypoints. 2 are each occupied by 36 waypoints. 1 are each occupied by 37 waypoints. Unique locations: 72706 Finish: Sun May 26 23:04:26 2024 Total run time: [8.6]