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Author Topic: Bitcoin puzzle transaction ~32 BTC prize to who solves it  (Read 185912 times)
Andzhig
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March 21, 2021, 11:08:35 AM
Last edit: March 21, 2021, 03:47:23 PM by Andzhig
 #1581


I am interesting to run this code

someone know about code python language

please help to fix it

I try to fix it but not yet success

code old 2 year, now library keras is update to new version some function call it not working


https://bitcointalk.org/index.php?topic=5075651.0

https://github.com/btc-room101/bitcoin-rnn



Try old versions from 2018 to install https://pypi.org/project/Keras/#history pip install Keras==2.2.4 or 2.2.3 etc...

For the stupid what he does?

Trying to find patterns of pubkey => privkey or pubkey hashed to privkey.
I've tried couple diffrent types of neural networks to solve that, but its requares massive data size, so its comparing to bruteforce, its not helpfull here.
Too complicated, as a mathematician said a couple of pages ago, easier brainwallet (https://github.com/minimaxir/textgenrnn + https://github.com/berzerk0/Probable-Wordlists). The mathematician ran away without even proposing anything significant  Cheesy

There is a sense here on other systems of calculation to catch a fish (in the oct system)

52 50 70 38 42 58 26 61 91

2^52  4503599627370496                      200000000000000000
2^50  1125899906842624                      40000000000000000
2^70  1180591620717411303424             200000000000000000000000
2^38  274877906944                             4000000000000
2^42  4398046511104                           100000000000000                                 (1-33)
2^58  288230376151711744                   20000000000000000000
2^26  67108864                                   400000000
2^61  2305843009213693952                  200000000000000000000
2^91  2475880078570760549798248448   2000000000000000000000000000000


19 99 76 66 79 76 34 20 49

2^19  524288                                        2000000
2^99  633825300114114700748351602688 1000000000000000000000000000000000  (1-33)
2^76  75557863725914323419136            20000000000000000000000000
2^66  73786976294838206464                 10000000000000000000000                   (1-33)
2^79  604462909807314587353088           200000000000000000000000000
2^76  75557863725914323419136            20000000000000000000000000
2^34  17179869184                                200000000000
2^20  1048576                                      4000000
2^49  562949953421312                         20000000000000000


13 82 45 75 89 10 84 64 92

2^13  8192                                          20000
2^82  4835703278458516698824704        2000000000000000000000000000
2^45  35184372088832                          1000000000000000                              (1-33)
2^75  37778931862957161709568           10000000000000000000000000              (1-33)
2^89  618970019642690137449562112     400000000000000000000000000000
2^10  1024                                          2000
2^84  19342813113834066795298816      10000000000000000000000000000           (1-33)
2^64  18446744073709551616                2000000000000000000000
2^92  4951760157141521099596496896   4000000000000000000000000000000

divide them by arrays 1, 2, 4.

1-33, 2-33, 4-33.

52 50 70 38 42 58 26 61 91 > 1-1, 2-5, 4-3

and choose from these 3 (by 33) mixing kits... not much sense from this option))...

***

Or search in big numbers (from pow)

2^x=30568377312064202855    x ≈ 64,728673773273428832
2^x=728673773273428832    x ≈ 59,338050678640420292
2^x=338050678640420292    x ≈ 58,230017156464023733
2^x=230017156464023733       x ≈ 57,674519085656819707
2^x=674519085656819707       x ≈ 59,226636878190342578

endless cycle?

***

the required number is found in larger digits how much?

 30568377312064202855   2^x=30568377312064202855  x ≈ 64,728673773273428832
130568377312064202855 2^x=130568377312064202855 x ≈ 66,823367426949660405
230568377312064202855 2^x=230568377312064202855 x ≈ 67,643756557209324497
330568377312064202855 2^x=330568377312064202855 x ≈ 68,163510618514418994
430568377312064202855 2^x=430568377312064202855 x ≈ 68,544804263768064704

305683773120642028551 2^x=305683773120642028551 x ≈ 68,050601868160791180
305683773120642028552 2^x=305683773120642028552 x ≈ 68,050601868160791180
305683773120642028553 2^x=305683773120642028553 x ≈ 68,050601868160791180
305683773120642028554 2^x=305683773120642028554 x ≈ 68,050601868160791180

***

3056837731206420285530568377312064202855 2x
2^x=3056837731206420285530568377312064202855 x ≈ 131,16723567102067579
2^131,16723567102067579 3056837731206420286623428911645953619203

gotta play with "precision"

305683773120642028553056837731206420285530568377312064202855 3x
2^x=305683773120642028553056837731206420285530568377312064202855 x ≈ 197,60579756876792275
2^197,60579756876792275 305683773120642029211887250445049163252524117510000000000000

+ random num
305683773120642028558492481024912749821698159821749821748217398712984
305683773120645444603003682941493601978464060000000000000000000000000
305683773120642028558492481025896013715063005364528453700000000000000
x ≈ 227,5031504227542
x ≈ 227,503150422754183877749134489 "precision"

it turns out we can take any numbers at random and somewhere they must match

str +7

64.7286737732734288320634 30568377312064202855
68.0506018681607911799668 305683773120642028557
71.3725299630481535278404 3056837731206420285577
74.694458057935515875711 30568377312064202855777
78.0163861528228782235814 305683773120642028557777
81.3383142477102405714517 3056837731206420285577777
84.660242342597602919322 30568377312064202855777777
87.9821704374849652671923 305683773120642028557777777
91.3040985323723276150627 3056837731206420285577777777
94.626026627259689962933 30568377312064202855777777777
97.9479547221470523108033 305683773120642028557777777777
101.269882817034414658674 3056837731206420285577777777777
104.591810911921777006544 30568377312064202855777777777777
107.913739006809139354414 305683773120642028557777777777777
111.235667101696501702285 3056837731206420285577777777777777
114.557595196583864050155 30568377312064202855777777777777777
117.879523291471226398025 305683773120642028557777777777777777
121.201451386358588745896 3056837731206420285577777777777777777
124.523379481245951093766 30568377312064202855777777777777777777
127.845307576133313441636 305683773120642028557777777777777777777
131.167235671020675789506 3056837731206420285577777777777777777777
134.489163765908038137377 30568377312064202855777777777777777777777
137.811091860795400485247 305683773120642028557777777777777777777777
141.133019955682762833117 3056837731206420285577777777777777777777777
144.454948050570125180988 30568377312064202855777777777777777777777777
147.776876145457487528858 305683773120642028557777777777777777777777777
151.098804240344849876728 3056837731206420285577777777777777777777777777
154.420732335232212224599 30568377312064202855777777777777777777777777777
157.742660430119574572469 305683773120642028557777777777777777777777777777
161.064588525006936920339 3056837731206420285577777777777777777777777777777
164.38651661989429926821 30568377312064202855777777777777777777777777777777
167.70844471478166161608 305683773120642028557777777777777777777777777777777
171.03037280966902396395 3056837731206420285577777777777777777777777777777777
174.352300904556386311821 30568377312064202855777777777777777777777777777777777
177.674228999443748659691 305683773120642028557777777777777777777777777777777777
180.996157094331111007561 3056837731206420285577777777777777777777777777777777777
184.318085189218473355432 30568377312064202855777777777777777777777777777777777777
187.640013284105835703302 305683773120642028557777777777777777777777777777777777777
190.961941378993198051172 3056837731206420285577777777777777777777777777777777777777
194.283869473880560399043 30568377312064202855777777777777777777777777777777777777777
305683773120642028557778595566743525694528347658078370717529.777449326807367836 9097477386034787204661264551231559196383490688267330839683292791191724074377657 8866303763837357201700002508850917423770919
3056837731206420285577758159616597701133951978620986600844355.94717959070397414 7326807586052440658065504634934500316139405880365155357504455896140378398173654 8476898412997238869187791015819349558775922
30568377312064202855777864487526706980975997525404610041515100.2092845503848224 0456487005576205525911102690891093470945887467089026782670568537512915829647271 8130125752029100225363370523524967640217482
305683773120642028557775865270183314228626825457618023742484242.265235431626888 0363797990969849979222155267664286643935472700236493965511124151316857438188451 3901977378069135770390481522446464429010908
3056837731206420285577786941837906139249916028500217838568302765.90076874044664 0446238939612788131984174394678748867440181028135010908704551626862356922960384 2798601238141435073656620680016237757259324
30568377312064202855777591457870685834385845305314534114459093966.6224466500090 2220894088607723608667697070884583364639616715745396028785292217685195953275672 0710584782349146833041562939637441341256351
305683773120642028557778743492314158040223230446005421042567600941.020917958439 8906280982395637738347638367410497780287407886685254407895578379512741647932679 4391813894710852172704993287593935584695296
3056837731206420285577759638872304024590900806486806122907556869209.26175018304 2737643673217164261752626072597494560078037691985396169945626755350244757782356 0191475043957026292029255348128165139480232
30568377312064202855777879280083770215545485804199701197236297514567.7635590834 5676160928175857060470722839670564495251965062988005179634860146452060154916643 4487475927075203724671001307415897793940427
305683773120642028557776013195753946574321708244223837180978484029340.557182813 1753594539049274653829507826573376203420295880199955346350041875406845714296387 9052642604462596020371093478072138589475615
3056837731206420285577788421093612462706864856379965566462163992040470.26943131 0595426571204548813824725567811425189441610082593614057739669782405663952327997 7853536106608020054129742061823003443839247
30568377312064202855777606250427749068955333583977501581525933099146761.2994899 9108294480355157500252977412350836159179312018116287075240885612961894199466456 6009929667321404279501851001847396397949822
305683773120642028557778891417884790385918113234004055064127873116129092.016612 3503625705732815713883013833953807931307460976688361035598528118858331461820192 9708838792136419056340650458598517595769528
3056837731206420285577761118128010348047849634353341481935982278073073424.55847 4641291291385915516379739435236734183211367330279183658890126400156401623670074 2503684924493972675014076634877636076851479
30568377312064202855777894072640833450114974083001950722609739688192383081.2561 4240306126011760476121024445986692680643996282428281491316390437076333627306962 7111833939542608834275664331963341864291988
305683773120642028557776161121324578920016591030901234315995174476859745566.938 8192132766392651417568568026306181922716103528384842409744539539187558004529655 7543473271248631404711212646238542499190185
3056837731206420285577789900349318786163813684260429131321249705014312433322.61 2645015626292485816016263737567311288589055043272992412859832941129499577832938 447733809954898361126377250207814874960152
30568377312064202855777621042984812303524821862647627418245017100012482232945.6 9600366699626467919180306842402542916236522811614691875570893675330794594276658 6680836509147942885833266380820282992603579
305683773120642028557773430824764367454115068852184789169685936140259292569570. 0530492614323614670492709185425589066748515309772975318250998046285081387671144 8223366774770809504524972708399932603739867
3056837731206420285577762597383716671504798462220592677929632173771025727446848 .705540885338467736577869066137432593658987866969218064601137269961846560963783 5110105037218713848315005394817149816926608
3056837731206420285577790886519789668468446236181135861763542673015840895480451 8.16713043863689090698801322841936941572901637636119005468986775170824629995632 5533895538448524757562214143628062036895077
3056837731206420285577819175655862665432094010403477443198590859137040852578202 79.6153351815119683500717696886044794250521428496527076897287532167274700704041 833577131041996008897713539753202500828145
3056837731206420285577735294418114556845783240424619980556249245554428034767341 873.038826882371959154151942989199610901350281921637764224520870214838081714010 4140798161461913654938121806166642210407627
3056837731206420285577763583554187553809431014132491162461634596921960945384019 3649.01191201428180192464095810519176472308483152489298398104598824233340685040 6336849611608275217227011462749757482097273
3056837731206420285577791872690260550773078788102160741968157635165876306742279 73510.0312455247261792067774400577526228923246211705469908103684450601934794440 5028505582817948071891020960357615299072718
3056837731206420285577820161826333547736726562333628719075818360286176541623815 915780.452559670936214986948134371157839503892024920486688185277159599673274170 1026341670636313624649346458921654719560245
3056837731206420285577736280588585439150415792327710219177961123854770087157053 4771819.16263884349857763346313960332860468658962867584606154934545493306062983 1997586465759393546757534450858582054608755
3056837731206420285577764569724658436114063566044707796755959014221403109583538 88659603.7990354471357049091583402937114176642005089941811711513625063283031308 3532178655943196847238156083903678797559859
3056837731206420285577792858860731433077711340023503771935094591464418667210735 116559786.075982053190616689158155940020810477655900629737166770706269241003371 9398298097172977039010843459257237819253658
3056837731206420285577821147996804430041359114264098144715367855583819182820335 0992174224.36609609237302336441269653156976159479181854341284824677682547108004 7881328187170306221782751661648703396752526
3056837731206420285577737266759056321455048344231118607561994996303619082967474 05930423647.6973564631494163292901128572178672759135993901052941218623054962803 2805705456994144355660557015221993711026675
3056837731206420285577765555895129318418696117957242580812605425669352220148045 987007779714.068333049432442006075403036471435067251602253039333231564624535324 5253695640900936608833400220861769709864286
3056837731206420285577793845031202315382343891945164951664353541911467976988456 6774738187347.15188822114076321625341906022073529476680239995310650517418802579 2440864185997690185999429686896567541080012
3056837731206420285577822134167275312345991666194885720117239345029968776270399 06284661545475.7427445187491670655070665985412783404157979952750280836384375979 6693012034764051139398267644653201344573862
3056837731206420285577738252929527203759680896134845145708350862900975022301242 335788141530461.325536407574111082155476556085890325593006121215943069076477534 5941080526299314248509163136593224440221028
3056837731206420285577766542065600200723328669870095514631573831265808277180179 3825187703813914.88280534947920558363184839791031442868513947844233864174973726 2071083884062537334280737094587220658712834
3056837731206420285577794831201673197686976443867144281155934486507024236178083 13422476444026839.2647338357389969152335784918980268393070211892677404595172522 2582845286930066769178441416960777445360458
3056837731206420285577823120337746194650624218125991445281432828624625322076646 523050385622936115.749278455978472462323347283883568547086383785171046051737077 1468537468975303555594543588924587350858345
3056837731206420285577739239099998086064313448038889833617028723646837905260997 0230159854331693546.66679171245593832507444202336169573855986844900858735470351 7596158912687306177358157675386538362351861
3056837731206420285577767528236071083027961221783266598212864231010771280782577 78951136400114566009.4389822460903867998696486424808515413042437651006039691958 6524317831414335984068529560423408124732447


in other words iterate over the left side (for the right we use "bloom filtr")


100500.7286737732734288320634
...
65.7286737732734288320634
64.7286737732734288320634
63.7286737732734288320634
62.7286737732734288320634
61.7286737732734288320634
...
1.7286737732734288320634


100500.0506018681607911799668
...
69.0506018681607911799668
68.0506018681607911799668
67.0506018681607911799668
66.0506018681607911799668
65.0506018681607911799668
68.0506018681607911799668
...
1.0506018681607911799668


***

for "precision" mpmath https://mpmath.org/doc/current/functions/powers.html

Quote
from mpmath import *

num1 = "30568377312064202855"

i=1
while i<=40:

    mp.dps = 24; mp.pretty = True
    
    
    a = log(num1, 2)
    #print(num1)
    print(a,num1)


    mp.dps = 200; mp.pretty = True

    #b = power(2, "44.8664977273289538280181")
    b = 2**a

    #print("")
    #print(b)
    num1 += str(7)
    i=i+1


i=1
while i<=40:

    mp.dps = 24; mp.pretty = True
    
    
    a = log(num1, 2)
    #print(num1)
    #print(a,num1)


    mp.dps = 200; mp.pretty = True

    #b = power(2, "44.8664977273289538280181")
    b = 2**a

    #print("")
    print(b)
    num1 += str(7)
    i=i+1

[/size]

haemorrhoids begin with 50000.blablabla from string transformations and trimming (to take more you need to think how without conversions to a string, take the first 20 digits of the number as an option, divide by 10blablabla, etc.)

Quote
from mpmath import *
#import sys
mp.dps = 10000; mp.pretty = True

#a = "23590.6234417655735764497"
#b = power(2,a)
#c = str(b)[0:20]
#print(c)

k = "."
kk = "6234417655735764497"

i=23500
while i <=23590:

    f = str(i)
    v = f+k+kk
    vv = power(2,v)
    vvv = str(vv)[0:20]
    #vvvv = int(vv)
    #D = sys.getsizeof(vvvv)-20
    #DD = vvvv//D
    print(v,vvv)
    #vv=0
    #vvv=0
    
    i=i+1

Quote
23500.6234417655735764497 24692938544673184502
23501.6234417655735764497 49385877089346369005
23502.6234417655735764497 98771754178692738011
23503.6234417655735764497 19754350835738547602
23504.6234417655735764497 39508701671477095204
23505.6234417655735764497 79017403342954190409
23506.6234417655735764497 15803480668590838081
23507.6234417655735764497 31606961337181676163
23508.6234417655735764497 63213922674363352327
23509.6234417655735764497 12642784534872670465
23510.6234417655735764497 25285569069745340930
23511.6234417655735764497 50571138139490681861
23512.6234417655735764497 10114227627898136372
23513.6234417655735764497 20228455255796272744
23514.6234417655735764497 40456910511592545489
23515.6234417655735764497 80913821023185090979
23516.6234417655735764497 16182764204637018195
23517.6234417655735764497 32365528409274036391
23518.6234417655735764497 64731056818548072783
23519.6234417655735764497 12946211363709614556
23520.6234417655735764497 25892422727419229113
23521.6234417655735764497 51784845454838458226
23522.6234417655735764497 10356969090967691645
23523.6234417655735764497 20713938181935383290
23524.6234417655735764497 41427876363870766581
23525.6234417655735764497 82855752727741533162
23526.6234417655735764497 16571150545548306632
23527.6234417655735764497 33142301091096613265
23528.6234417655735764497 66284602182193226530
23529.6234417655735764497 13256920436438645306
23530.6234417655735764497 26513840872877290612
23531.6234417655735764497 53027681745754581224
23532.6234417655735764497 10605536349150916244
23533.6234417655735764497 21211072698301832489
23534.6234417655735764497 42422145396603664979
23535.6234417655735764497 84844290793207329958
23536.6234417655735764497 16968858158641465991
23537.6234417655735764497 33937716317282931983
23538.6234417655735764497 67875432634565863966
23539.6234417655735764497 13575086526913172793
23540.6234417655735764497 27150173053826345586
23541.6234417655735764497 54300346107652691173
23542.6234417655735764497 10860069221530538234
23543.6234417655735764497 21720138443061076469
23544.6234417655735764497 43440276886122152938
23545.6234417655735764497 86880553772244305877
23546.6234417655735764497 17376110754448861175
23547.6234417655735764497 34752221508897722351
23548.6234417655735764497 69504443017795444702
23549.6234417655735764497 13900888603559088940
23550.6234417655735764497 27801777207118177880
23551.6234417655735764497 55603554414236355761
23552.6234417655735764497 11120710882847271152
23553.6234417655735764497 22241421765694542304
23554.6234417655735764497 44482843531389084609
23555.6234417655735764497 88965687062778169218
23556.6234417655735764497 17793137412555633843
23557.6234417655735764497 35586274825111267687
23558.6234417655735764497 71172549650222535374
23559.6234417655735764497 14234509930044507074
23560.6234417655735764497 28469019860089014149
23561.6234417655735764497 56938039720178028299
23562.6234417655735764497 11387607944035605659
23563.6234417655735764497 22775215888071211319
23564.6234417655735764497 45550431776142422639
23565.6234417655735764497 91100863552284845279
23566.6234417655735764497 18220172710456969055
23567.6234417655735764497 36440345420913938111
23568.6234417655735764497 72880690841827876223
23569.6234417655735764497 14576138168365575244
23570.6234417655735764497 29152276336731150489
23571.6234417655735764497 58304552673462300979
23572.6234417655735764497 11660910534692460195
23573.6234417655735764497 23321821069384920391
23574.6234417655735764497 46643642138769840783
23575.6234417655735764497 93287284277539681566
23576.6234417655735764497 18657456855507936313
23577.6234417655735764497 37314913711015872626
23578.6234417655735764497 74629827422031745253
23579.6234417655735764497 14925965484406349050
23580.6234417655735764497 29851930968812698101
23581.6234417655735764497 59703861937625396202
23582.6234417655735764497 11940772387525079240
23583.6234417655735764497 23881544775050158481
23584.6234417655735764497 47763089550100316962
23585.6234417655735764497 95526179100200633924
23586.6234417655735764497 19105235820040126784
23587.6234417655735764497 38210471640080253569
23588.6234417655735764497 76420943280160507139
23589.6234417655735764497 15284188656032101427
23590.6234417655735764497 30568377312064202855
[/size]
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There are several different types of Bitcoin clients. The most secure are full nodes like Bitcoin Core, which will follow the rules of the network no matter what miners do. Even if every miner decided to create 1000 bitcoins per block, full nodes would stick to the rules and reject those blocks.
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March 21, 2021, 01:15:26 PM
 #1582


CODE #2
Code:
from bitcoin import privtoaddr
i = 18446744073709551616
while i >= 9223372036854775808:
    i -= 1
    y = privtoaddr(i)
    if y == '16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN':
        print(hex(i))
        break
I try to play around a lot with CODE #2, but still getting the same results.
Any suggestions to make it run faster or recommending faster tools are appreciated.
Thanks in advance.


The addresses your code generates are uncompressed. the address you need to find is compressed.
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March 21, 2021, 07:16:34 PM
 #1583

Can someone tell what exact happens in bsgs and kangaroo. In layman terms and by giving some examples. If possible please explain by example of any 10 bit 20 bit key so it can be understood easily. Like if i take a 64 bit known pub key and starts my bsgs or kangaroo , then what happens inside it. I understood that it uses pubkey + n*G to calculate anoher pubkey and if value of prv key related to this new pubkey is known then prv key for the input key can be calculated.  but how that helps. We still have to go through billions of keys and keypairs. How it generated those keypairs first. Secondly how it can be so fast to search for 64 bit in some seconds. Its still a large space. Confused ...

Did you read description explain on JeanLucPons Kangaroo at github already? try read for understand
https://github.com/JeanLucPons/Kangaroo


Thats the first thing i do always. If it goes out of my knowledge only then i ask it. I even had gone through bsgs by jean and others. Everyone uses different techniques for step calculation , jean uses floor sqrt and speed comes to 1Mks , some other uses other method to guess number of steps and covering large spaces with billion and trillion keys per sec but failed to compete with jean bsgs because they took too much time in generating the point file itself. Ofcourse kangaroo is still fastest.

My question was related to how the baby step and giant step work in layman terms. I had read the code where it took some baby steps and matches it with the precomputed part , if doesnt match then take giant step Nd so on. But still its not understadable for me. If this can be explained using some examepl then it would be better for the whole community. I believe most people here dont understand much technical things except some people. I read posts from freedragon , brainless and they are inspiring and help me understand many things.
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March 22, 2021, 10:39:48 AM
Last edit: March 23, 2021, 05:02:33 PM by Andzhig
 #1584

In general, with this method, the accuracy after 200000 by 20 decimal places flies and just simply 20000000 with 100 copies of the program to search... can be sent to junk...

Quote

from mpmath import *
import random
from bit import Key
import time
import math

list = ["16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN","13zb1hQbWVsc2S7ZTZnP2G4undNNpdh5so","1BY8GQbnueYofwSuFAT3USAhGjPrkxDdW9",
        "1MVDYgVaSN6iKKEsbzRUAYFrYJadLYZvvZ","19vkiEajfhuZ8bs8Zu2jgmC6oqZbWqhxhG","1DJh2eHFYQfACPmrvpyWc8MSTYKh7w9eRF",
        "1PWo3JeB9jrGwfHDNpdGK54CRas7fsVzXU","1JTK7s9YVYywfm5XUH7RNhHJH1LshCaRFR","12VVRNPi4SJqUTsp6FmqDqY5sGosDtysn4",
        "1FWGcVDK3JGzCC3WtkYetULPszMaK2Jksv","1DJh2eHFYQfACPmrvpyWc8MSTYKh7w9eRF","1Bxk4CQdqL9p22JEtDfdXMsng1XacifUtE",
        "15qF6X51huDjqTmF9BJgxXdt1xcj46Jmhb","1ARk8HWJMn8js8tQmGUJeQHjSE7KRkn2t8","15qsCm78whspNQFydGJQk5rexzxTQopnHZ",
        "13zYrYhhJxp6Ui1VV7pqa5WDhNWM45ARAC","14MdEb4eFcT3MVG5sPFG4jGLuHJSnt1Dk2","1CMq3SvFcVEcpLMuuH8PUcNiqsK1oicG2D",
        "1K3x5L6G57Y494fDqBfrojD28UJv4s5JcK","1PxH3K1Shdjb7gSEoTX7UPDZ6SH4qGPrvq","16AbnZjZZipwHMkYKBSfswGWKDmXHjEpSf",
        "19QciEHbGVNY4hrhfKXmcBBCrJSBZ6TaVt","1EzVHtmbN4fs4MiNk3ppEnKKhsmXYJ4s74","1AE8NzzgKE7Yhz7BWtAcAAxiFMbPo82NB5",
        "17Q7tuG2JwFFU9rXVj3uZqRtioH3mx2Jad","1K6xGMUbs6ZTXBnhw1pippqwK6wjBWtNpL","15ANYzzCp5BFHcCnVFzXqyibpzgPLWaD8b",
        "18ywPwj39nGjqBrQJSzZVq2izR12MDpDr8","1CaBVPrwUxbQYYswu32w7Mj4HR4maNoJSX","1JWnE6p6UN7ZJBN7TtcbNDoRcjFtuDWoNL",
        "1CKCVdbDJasYmhswB6HKZHEAnNaDpK7W4n","1PXv28YxmYMaB8zxrKeZBW8dt2HK7RkRPX","1AcAmB6jmtU6AiEcXkmiNE9TNVPsj9DULf",
        "1EQJvpsmhazYCcKX5Au6AZmZKRnzarMVZu","18KsfuHuzQaBTNLASyj15hy4LuqPUo1FNB","15EJFC5ZTs9nhsdvSUeBXjLAuYq3SWaxTc",
        "1HB1iKUqeffnVsvQsbpC6dNi1XKbyNuqao","1GvgAXVCbA8FBjXfWiAms4ytFeJcKsoyhL","12JzYkkN76xkwvcPT6AWKZtGX6w2LAgsJg",
        "1824ZJQ7nKJ9QFTRBqn7z7dHV5EGpzUpH3","18A7NA9FTsnJxWgkoFfPAFbQzuQxpRtCos","1NeGn21dUDDeqFQ63xb2SpgUuXuBLA4WT4",
        "1NLbHuJebVwUZ1XqDjsAyfTRUPwDQbemfv","1MnJ6hdhvK37VLmqcdEwqC3iFxyWH2PHUV","1KNRfGWw7Q9Rmwsc6NT5zsdvEb9M2Wkj5Z",
        "1PJZPzvGX19a7twf5HyD2VvNiPdHLzm9F6","1GuBBhf61rnvRe4K8zu8vdQB3kHzwFqSy7","17s2b9ksz5y7abUm92cHwG8jEPCzK3dLnT",
        "1GDSuiThEV64c166LUFC9uDcVdGjqkxKyh","1Me3ASYt5JCTAK2XaC32RMeH34PdprrfDx","1CdufMQL892A69KXgv6UNBD17ywWqYpKut",
        "1BkkGsX9ZM6iwL3zbqs7HWBV7SvosR6m8N","1PXAyUB8ZoH3WD8n5zoAthYjN15yN5CVq5","1AWCLZAjKbV1P7AHvaPNCKiB7ZWVDMxFiz",
        "1G6EFyBRU86sThN3SSt3GrHu1sA7w7nzi4","1MZ2L1gFrCtkkn6DnTT2e4PFUTHw9gNwaj","1Hz3uv3nNZzBVMXLGadCucgjiCs5W9vaGz",
        "1Fo65aKq8s8iquMt6weF1rku1moWVEd5Ua","16zRPnT8znwq42q7XeMkZUhb1bKqgRogyy","1KrU4dHE5WrW8rhWDsTRjR21r8t3dsrS3R",
        "17uDfp5r4n441xkgLFmhNoSW1KWp6xVLD","13A3JrvXmvg5w9XGvyyR4JEJqiLz8ZySY3","16RGFo6hjq9ym6Pj7N5H7L1NR1rVPJyw2v",
        "1UDHPdovvR985NrWSkdWQDEQ1xuRiTALq","15nf31J46iLuK1ZkTnqHo7WgN5cARFK3RA","1Ab4vzG6wEQBDNQM1B2bvUz4fqXXdFk2WT",
        "1Fz63c775VV9fNyj25d9Xfw3YHE6sKCxbt","1QKBaU6WAeycb3DbKbLBkX7vJiaS8r42Xo","1CD91Vm97mLQvXhrnoMChhJx4TP9MaQkJo",
        "15MnK2jXPqTMURX4xC3h4mAZxyCcaWWEDD","13N66gCzWWHEZBxhVxG18P8wyjEWF9Yoi1","1NevxKDYuDcCh1ZMMi6ftmWwGrZKC6j7Ux",
        "19GpszRNUej5yYqxXoLnbZWKew3KdVLkXg","1M7ipcdYHey2Y5RZM34MBbpugghmjaV89P","18aNhurEAJsw6BAgtANpexk5ob1aGTwSeL",
        "1FwZXt6EpRT7Fkndzv6K4b4DFoT4trbMrV","1CXvTzR6qv8wJ7eprzUKeWxyGcHwDYP1i2","1MUJSJYtGPVGkBCTqGspnxyHahpt5Te8jy",
        "13Q84TNNvgcL3HJiqQPvyBb9m4hxjS3jkV","1LuUHyrQr8PKSvbcY1v1PiuGuqFjWpDumN","18192XpzzdDi2K11QVHR7td2HcPS6Qs5vg",
        "1NgVmsCCJaKLzGyKLFJfVequnFW9ZvnMLN","1AoeP37TmHdFh8uN72fu9AqgtLrUwcv2wJ","1FTpAbQa4h8trvhQXjXnmNhqdiGBd1oraE",
        "14JHoRAdmJg3XR4RjMDh6Wed6ft6hzbQe9","19z6waranEf8CcP8FqNgdwUe1QRxvUNKBG","14u4nA5sugaswb6SZgn5av2vuChdMnD9E5",
        "174SNxfqpdMGYy5YQcfLbSTK3MRNZEePoy","1NBC8uXJy1GiJ6drkiZa1WuKn51ps7EPTv","18ZMbwUFLMHoZBbfpCjUJQTCMCbktshgpe"]


Nn =['00', '01', '02', '03', '04', '05', '06', '07', '08', '09',
     '10', '11', '12', '13', '14', '15', '16', '17', '18', '19',
     '20', '21', '22', '23', '24', '25', '26', '27', '28', '29',
     '30', '31', '32', '33', '34', '35', '36', '37', '38', '39',
     '40', '41', '42', '43', '44', '45', '46', '47', '48', '49',
     '50', '51', '52', '53', '54', '55', '56', '57', '58', '59',
     '60', '61', '62', '63', '64', '65', '66', '67', '68', '69',
     '70', '71', '72', '73', '74', '75', '76', '77', '78', '79',
     '80', '81', '82', '83', '84', '85', '86', '87', '88', '89',
     '90', '91', '92', '93', '94', '95', '96', '97', '98', '99']

def func():
    DDD = random.choice(RRR)
    return DDD

RRR = []

def ddigits(number,cut):
    ndigits = int(math.log10(number))+1
    try:
        return number//int(10**(ndigits-cut))
    except ZeroDivisionError:
        return number

mp.dps = 100; mp.pretty = True

while True:

    for RR in range(10): # set 00-99 screening out length
        DDD = random.choice(Nn)
        RRR.append(DDD)
    
    d = ''.join(RRR)
    k = "."
    kk = d
    print(RRR,kk)

    i=200000      #effective not more than 200000
    while i >=60:
        #time.sleep(0.05)
        cut = 49
        while cut >= 20:    
        
            f = str(i)
            v = f+k+kk
            vv = power(2,v)
            time.sleep(0.02)
            vvvv = int(vv)
            vvvvv = ddigits(vvvv,cut)
            ran = int(vvvvv)
            key1 = Key.from_int(ran)
            addr1 = key1.address
                                                                                                
            if addr1 in list:

                print (ran,"found!!!")

                s5 = str(ran)
                f=open(u"C:/a.txt","a")
                f.write(s5 + '\n')
                f.close()

                break

            else:
                                                                                                        
                #pass
                #if cut == 20:
                print("2 ^",v,"=",vvvvv,addr1)

            cut=cut-1            


        i=i-1
    RRR = []
    pass


[/size]


But there may be a "search formula" hiding here.

2^x=10 x ≈ 3,32192809488736234787032
2^x=11 x ≈ 3,45943161863729725619936
2^x=12 x ≈ 3,58496250072115618145374

when reversing

159.4 96  159.5 10  159.6 11  159.7 11
160.4 19  160.5 20  160.6 22  160.7 23
161.4 38  161.5 41  161.6 44  161.7 47
162.4 77  162.5 82  162.6 88  162.7 94
163.4 15  163.5 16  163.6 17  163.7 18
164.4 30  164.5 33  164.6 35  164.7 37
165.4 61  165.5 66  165.6 70  165.7 75
166.4 12  166.5 13  166.6 14  166.7 15
167.4 24  167.5 26  167.6 28  167.7 30
168.4 49  168.5 52  168.6 56  168.7 60
169.4 98  169.5 10  169.6 11  169.7 12
170.4 19  170.5 21  170.6 22  170.7 24
171.4 39  171.5 42  171.6 45  171.7 48
172.4 78  172.5 84  172.6 90  172.7 97
173.4 15  173.5 16  173.6 18  173.7 19
174.4 31  174.5 33  174.6 36  174.7 38
175.4 63  175.5 67  175.6 72  175.7 77
176.4 12  176.5 13  176.6 14  176.7 15
177.4 25  177.5 27  177.6 29  177.7 31
178.4 50  178.5 54  178.6 58  178.7 62
179.4 10  179.5 10  179.6 11  179.7 12
180.4 20  180.5 21  180.6 23  180.7 24
181.4 40  181.5 43  181.6 46  181.7 49
182.4 80  182.5 86  182.6 92  182.7 99
183.4 16  183.5 17  183.6 18  183.7 19
184.4 32  184.5 34  184.6 37  184.7 39
185.4 64  185.5 69  185.6 74  185.7 79
186.4 12  186.5 13  186.6 14  186.7 15
187.4 25  187.5 27  187.6 29  187.7 31
188.4 51  188.5 55  188.6 59  188.7 63
189.4 10  189.5 11  189.6 11  189.7 12
190.4 20  190.5 22  190.6 23  190.7 25
191.4 41  191.5 44  191.6 47  191.7 50
192.4 82  192.5 88  192.6 95  192.7 10
193.4 16  193.5 17  193.6 19  193.7 20
194.4 33  194.5 35  194.6 38  194.7 40
195.4 66  195.5 71  195.6 76  195.7 81
196.4 13  196.5 14  196.6 15  196.7 16
197.4 26  197.5 28  197.6 30  197.7 32
198.4 53  198.5 56  198.6 60  198.7 65
199.4 10  199.5 11  199.6 12  199.7 13
200.4 21  200.5 22  200.6 24  200.7 26
201.4 42  201.5 45  201.6 48  201.7 52
202.4 84  202.5 90  202.6 97  202.7 10
203.4 16  203.5 18  203.6 19  203.7 20
204.4 33  204.5 36  204.6 38  204.7 41
205.4 67  205.5 72  205.6 77  205.7 83
206.4 13  206.5 14  206.6 15  206.7 16
207.4 27  207.5 29  207.6 31  207.7 33
208.4 54  208.5 58  208.6 62  208.7 66
209.4 10  209.5 11  209.6 12  209.7 13
210.4 21  210.5 23  210.6 24  210.7 26
211.4 43  211.5 46  211.6 49  211.7 53
212.4 86  212.5 93  212.6 99  212.7 10
213.4 17  213.5 18  213.6 19  213.7 21
214.4 34  214.5 37  214.6 39  214.7 42
215.4 69  215.5 74  215.6 79  215.7 85
216.4 13  216.5 14  216.6 15  216.7 17
217.4 27  217.5 29  217.6 31  217.7 34
218.4 55  218.5 59  218.6 63  218.7 68
219.4 11  219.5 11  219.6 12  219.7 13

by 3 num take

159.5 103  159.6 110  159.7 118
160.5 206  160.6 221  160.7 237
161.5 413  161.6 443  161.7 474
162.5 826  162.6 886  162.7 949
163.5 165  163.6 177  163.7 189
164.5 330  164.6 354  164.7 379
165.5 661  165.6 708  165.7 759
166.5 132  166.6 141  166.7 151
167.5 264  167.6 283  167.7 303
168.5 529  168.6 567  168.7 607
169.5 105  169.6 113  169.7 121
170.5 211  170.6 226  170.7 243
171.5 423  171.6 453  171.7 486
172.5 846  172.6 907  172.7 972
173.5 169  173.6 181  173.7 194
174.5 338  174.6 362  174.7 388
175.5 677  175.6 725  175.7 777
176.5 135  176.6 145  176.7 155
177.5 270  177.6 290  177.7 311
178.5 541  178.6 580  178.7 622
179.5 108  179.6 116  179.7 124
180.5 216  180.6 232  180.7 248
181.5 433  181.6 464  181.7 497
182.5 866  182.6 929  182.7 995
183.5 173  183.6 185  183.7 199
184.5 346  184.6 371  184.7 398
185.5 693  185.6 743  185.7 796
186.5 138  186.6 148  186.7 159
187.5 277  187.6 297  187.7 318
188.5 554  188.6 594  188.7 637
189.5 110  189.6 118  189.7 127
190.5 221  190.6 237  190.7 254
191.5 443  191.6 475  191.7 509
192.5 887  192.6 951  192.7 101
193.5 177  193.6 190  193.7 203
194.5 355  194.6 380  194.7 407
195.5 710  195.6 761  195.7 815
196.5 142  196.6 152  196.7 163
197.5 284  197.6 304  197.7 326
198.5 568  198.6 608  198.7 652
199.5 113  199.6 121  199.7 130
200.5 227  200.6 243  200.7 261
201.5 454  201.6 487  201.7 522
202.5 909  202.6 974  202.7 104
203.5 181  203.6 194  203.7 208
204.5 363  204.6 389  204.7 417
205.5 727  205.6 779  205.7 835
206.5 145  206.6 155  206.7 167
207.5 290  207.6 311  207.7 334
208.5 581  208.6 623  208.7 668
209.5 116  209.6 124  209.7 133
210.5 232  210.6 249  210.7 267
211.5 465  211.6 498  211.7 534
212.5 930  212.6 997  212.7 106
213.5 186  213.6 199  213.7 213
214.5 372  214.6 399  214.7 427
215.5 744  215.6 798  215.7 855
216.5 148  216.6 159  216.7 171
217.5 297  217.6 319  217.7 342
218.5 595  218.6 638  218.7 684
219.5 119  219.6 127  219.7 136

and so gradually the desired number should appear 30568377312064202855 > 30 > 305 > 3056 > 30568 etc...

590.1 4343   590.2 4654
591.1 8686   591.2 9309
592.1 1737   592.2 1861
593.1 3474   593.2 3723
594.1 6948   594.2 7447
595.1 1389   595.2 1489
596.1 2779   596.2 2979
597.1 5559   597.2 5958
598.1 1111   598.2 1191
599.1 2223   599.2 2383
600.1 4447   600.2 4766
601.1 8894   601.2 9533
602.1 1778   602.2 1906
603.1 3557   603.2 3813
604.1 7115   604.2 7626
605.1 1423   605.2 1525
606.1 2846   606.2 3050
607.1 5692   607.2 6101
608.1 1138   608.2 1220
609.1 2277   609.2 2440
610.1 4554   610.2 4880
611.1 9108   611.2 9761
612.1 1821   612.2 1952
613.1 3643   613.2 3904
614.1 7286   614.2 7809
615.1 1457   615.2 1561
616.1 2914   616.2 3123
617.1 5829   617.2 6247
618.1 1165   618.2 1249
619.1 2331   619.2 2499
620.1 4663   620.2 4998
621.1 9326   621.2 9996
622.1 1865   622.2 1999
623.1 3730   623.2 3998
624.1 7461   624.2 7996
625.1 1492   625.2 1599
626.1 2984   626.2 3198
627.1 5969   627.2 6397
628.1 1193   628.2 1279
629.1 2387   629.2 2559
630.1 4775   630.2 5118
631.1 9550   631.2 1023
632.1 1910   632.2 2047
633.1 3820   633.2 4094
634.1 7640   634.2 8188
635.1 1528   635.2 1637
636.1 3056   636.2 3275

6286.7 30568

305683 no longer finds up to 50,000, but may appear higher...

***

endless running can be finite

2^x=30568377312064202855 x ≈ 64,72867377327342883206
2^x=72867377327342883206 x ≈ 65,98190686841514498777
2^x=98190686841514498777 x ≈ 66,41221999761644313519
2^x=41221999761644313519 x ≈ 65,16004829745627751891
2^x=16004829745627751891 x ≈ 63,79514113288646090322
2^x=79514113288646090322 x ≈ 66,10784475589133269856
2^x=10784475589133269856 x ≈ 63,22558982791169991994
2^x=22558982791169991994 x ≈ 64,29033581939002283438
2^x=29033581939002283438 x ≈ 64,65435637437148496233
2^x=65435637437148496233 x ≈ 65,82671037055289160231
2^x=82671037055289160231 x ≈ 66,16401578745271144384
2^x=16401578745271144384 x ≈ 63,83046849199298150540
2^x=83046849199298150540 x ≈ 66,17055923617965813565
2^x=17055923617965813565 x ≈ 63,88690668522130664307
2^x=88690668522130664307 x ≈ 66,26541612401485672565
2^x=26541612401485672565 x ≈ 64,52488981987422679373
2^x=52488981987422679373 x ≈ 65,50864841991821203227
2^x=50864841991821203227 x ≈ 65,46330260631713529263

using 3 characters as an example

2 ^ 250      

7.966 966
0 9.916 916
1 9.839 839
2 9.713 713
3 9.478 478
4 8.901 901
5 9.815 815
6 9.671 671
8 8.607 607
9 9.246 246
10 7.943 943
11 9.881 881
12 9.783 783
13 9.613 613
15 8.022 022
16 4.459 459
17 8.842 842
18 9.718 718
19 9.488 488
20 8.931 931
21 9.863 863
22 9.753 753
23 9.557 557
24 9.122 122
25 8.931 931
25 6.931 931
26 9.863 863
26 9.863 863
27 9.753 753
27 9.753 753
28 9.557 557
28 9.557 557
29 9.122 122
29 9.122 122
30 8.931 931
30 6.931 931
30 6.931 931
31 9.863 863
31 9.863 863
31 9.863 863
32 9.753 753
32 9.753 753
32 9.753 753
33 9.557 557
33 9.557 557
33 9.557 557
34 9.122 122
34 9.122 122
34 9.122 122
35 8.931 931
35 6.931 931
35 6.931 931
35 6.931 931
36 9.863 863
36 9.863 863
36 9.863 863
36 9.863 863
37 9.753 753
37 9.753 753
37 9.753 753
37 9.753 753
38 9.557 557
38 9.557 557
38 9.557 557
38 9.557 557
39 9.122 122
39 9.122 122
39 9.122 122
39 9.122 122
40 8.931 931
40 6.931 931
40 6.931 931
40 6.931 931
40 6.931 931
41 9.863 863
41 9.863 863
41 9.863 863
41 9.863 863
41 9.863 863
42 9.753 753
42 9.753 753
42 9.753 753
42 9.753 753
42 9.753 753
43 9.557 557
43 9.557 557
43 9.557 557
43 9.557 557
43 9.557 557
44 9.122 122
44 9.122 122
44 9.122 122
44 9.122 122
44 9.122 122
45 8.931 931
45 6.931 931
45 6.931 931
45 6.931 931
45 6.931 931
45 6.931 931
46 9.863 863
46 9.863 863
46 9.863 863
46 9.863 863
46 9.863 863
46 9.863 863
47 9.753 753
47 9.753 753
47 9.753 753
47 9.753 753
47 9.753 753
47 9.753 753
48 9.557 557
48 9.557 557
48 9.557 557
48 9.557 557
48 9.557 557
48 9.557 557
49 9.122 122
49 9.122 122
49 9.122 122
49 9.122 122
49 9.122 122
49 9.122 122
50 8.931 931
50 6.931 931
50 6.931 931
50 6.931 931
50 6.931 931
50 6.931 931
50 6.931 931

sticking on some numbers are the same

and as in reverse it jumps back for example 4 numbers

2 ^ 3056

11.5774 5774
0 12.5 4954 ['1444', '2887', '5774']
1 12.27 2744 ['1239', '2477', '4954', '9908']
2 11.42 4221 ['1372', '2744', '5488']
3 12.04 0434 ['1055', '2111', '4221', '8443']
4 8.762 6155 ['1569', '3138', '6275']
5 12.59 5875 ['1539', '3077', '6155']
6 12.52 5204 ['1469', '2938', '5875']
7 12.35 3454 ['1301', '2602', '5204']
8 11.75 7541 ['1727', '3454', '6909']
9 12.88 8805 ['1885', '3770', '7541']
10 13.1 1041 ['1101', '2201', '4403', '8805']
11 10.02 0238 ['1041', '2082', '4164', '8328']
12 7.895 9482 ['1976', '3952', '7903']
15 8.748 4819 ['1430', '2860', '5721']
16 12.23 2345 ['1205', '2409', '4819', '9638']
17 11.2 1954 ['1173', '2345', '4690', '9380']
18 10.93 9322 ['1954', '3908', '7816']
19 13.19 1864 ['1165', '2330', '4661', '9322']
20 10.86 8642 ['1864', '3728', '7456']
21 13.08 0772 ['1080', '2161', '4321', '8642']
22 9.592 9246 ['1944', '3887', '7775']
23 13.17 1746 ['1156', '2311', '4623', '9246']
24 10.77 7698 ['1746', '3492', '6984']
25 12.91 9103 ['1925', '3849', '7698']
26 13.15 1521 ['1138', '2276', '4551', '9103']
27 10.57 5708 ['1521', '3042', '6084']
28 12.48 4788 ['1427', '2854', '5708']
29 12.23 2252 ['1197', '2394', '4788', '9576']
32 12.04 0362 ['1050', '2100', '4200', '8401']
33 8.5 9985 ['1023', '2046', '4092', '8184']
34 13.29 2855 ['1248', '2496', '4992', '9985']
35 11.48 4793 ['1427', '2855', '5710']
36 12.23 2267 ['1198', '2396', '4793', '9586']
37 11.15 1466 ['1134', '2267', '4534', '9068']
38 10.52 5177 ['1466', '2932', '5864']
39 12.34 3379 ['1294', '2588', '5177']
40 11.72 7224 ['1690', '3379', '6758']
41 12.82 8186 ['1806', '3612', '7224']
42 13.0 9989 ['1023', '2046', '4093', '8186']
43 13.29 2861 ['1249', '2497', '4995', '9989']
44 11.48 4823 ['1431', '2861', '5722']
45 12.24 2357 ['1206', '2412', '4823', '9646']
46 11.2 2027 ['1179', '2357', '4714', '9428']
47 10.99 9851 ['1013', '2027', '4054', '8108']
48 13.27 2661 ['1231', '2463', '4926', '9851']
49 11.38 3778 ['1331', '2661', '5322']

497 11.52 5196 ['1468', '2936', '5872']
497 11.52 5196 ['1468', '2936', '5872']
497 11.52 5196 ['1468', '2936', '5872']
497 11.52 5196 ['1468', '2936', '5872']
498 12.34 3432 ['1299', '2598', '5196']
498 12.34 3432 ['1299', '2598', '5196']
498 12.34 3432 ['1299', '2598', '5196']
498 12.34 3432 ['1299', '2598', '5196']
499 11.74 7448 ['1716', '3432', '6864']
499 11.74 7448 ['1716', '3432', '6864']
499 11.74 7448 ['1716', '3432', '6864']
499 11.74 7448 ['1716', '3432', '6864']

and also stick...

these should behave the same

2^x=30568377312064202855 x ≈ 64,72867377327342883206
2^x=72867377327342883206 x ≈ 65,98190686841514498777
2^x=98190686841514498777 x ≈ 66,41221999761644313519
2^x=41221999761644313519 x ≈ 65,16004829745627751891
2^x=16004829745627751891 x ≈ 63,79514113288646090322
2^x=79514113288646090322 x ≈ 66,10784475589133269856


                                                                                                                                                       poz 1 poz 2 poz 3 poz 4 poz 5 etc...
Quote


64.72867377327342883206 72867377327342883206
0 65.98190686841514498777 98190686841514498777 ['18216844331835720801', '36433688663671441603', '72867377327342883206', '14573475465468576641', '29146950930937153282', '58293901861874306564', '11658780372374861312', '23317560744749722625']
1 66.41221999761644313519 41221999761644313519 ['12273835855189312347', '24547671710378624694', '49095343420757249388', '98190686841514498777', '19638137368302899755', '39276274736605799510', '78552549473211599021', '15710509894642319804']
2 65.16004829745627751891 16004829745627751891 ['10305499940411078379', '20610999880822156759', '41221999761644313519', '82443999523288627037', '16488799904657725407', '32977599809315450815', '65955199618630901630', '13191039923726180326']
3 63.79514113288646090322 79514113288646090322 ['16004829745627751891', '32009659491255503782', '64019318982511007564', '12803863796502201512', '25607727593004403025', '51215455186008806051', '10243091037201761210', '20486182074403522420']
4 66.10784475589133269856 10784475589133269856 ['19878528322161522580', '39757056644323045160', '79514113288646090321', '15902822657729218064', '31805645315458436128', '63611290630916872257', '12722258126183374451']
5 63.22558982791169991994 22558982791169991994 ['10784475589133269855', '21568951178266539711', '43137902356533079423', '86275804713066158847', '17255160942613231769', '34510321885226463539', '69020643770452927078', '13804128754090585415']
6 64.29033581939002283438 29033581939002283438 ['11279491395584995996', '22558982791169991993', '45117965582339983987', '90235931164679967975', '18047186232935993595', '36094372465871987190', '72188744931743974380', '14437748986348794876']
7 64.65435637437148496233 65435637437148496233 ['14516790969501141719', '29033581939002283438', '58067163878004566876', '11613432775600913375', '23226865551201826750', '46453731102403653500', '92907462204807307001', '18581492440961461400']
8 65.82671037055289160231 82671037055289160231 ['16358909359287124058', '32717818718574248116', '65435637437148496232', '13087127487429699246', '26174254974859398493', '52348509949718796986', '10469701989943759397', '20939403979887518794']
9 66.16401578745271144384 16401578745271144384 ['10333879631911145028', '20667759263822290057', '41335518527644580115', '82671037055289160230', '16534207411057832046', '33068414822115664092', '66136829644231328184', '13227365928846265636']


and chooses depending on

65 poz 3
66 poz 4
65 poz 3
63 poz 1
...
64 poz 2

in other words, to jump from 16401578745271144384  to 30568377312064202855 "kangaroo jump" poz 4>3>2>2>1>4>1>3>4>3...
fxsniper
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March 22, 2021, 01:08:09 PM
 #1585


CODE #2
Code:
from bitcoin import privtoaddr
i = 18446744073709551616
while i >= 9223372036854775808:
    i -= 1
    y = privtoaddr(i)
    if y == '16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN':
        print(hex(i))
        break
I try to play around a lot with CODE #2, but still getting the same results.
Any suggestions to make it run faster or recommending faster tools are appreciated.
Thanks in advance.


The addresses your code generates are uncompressed. the address you need to find is compressed.


python library bitcoin give uncompressed address because hash from uncompressed public key

try change to use library bit
library bit has from compressed public key give compressed address

I am not sure not yet try run code
Code:
from bit import Key
i = 18446744073709551616
while i >= 9223372036854775808:
    i -= 1
    key = Key.from_int(i)
    y = key.address
    if y == '16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN':
        print(hex(i))
        break
DarkArrow
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March 22, 2021, 06:22:58 PM
 #1586

I think one of the take home messages here might be that due to this difference in effort and other factors having to do with privacy and the fungiblity of Bitcoin in general:  do not reuse Bitcoin addresses.  Bitcoin addresses should be used exactly twice:  once to fund them and once to spend them - then never used again.
There's plenty of addresses with hundreds or even thousands of transactions on them, so what you're saying is that bitcoin isn't secure enough and those addresses are more at risk?
fxsniper
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March 23, 2021, 01:19:45 AM
 #1587

I think one of the take home messages here might be that due to this difference in effort and other factors having to do with privacy and the fungiblity of Bitcoin in general:  do not reuse Bitcoin addresses.  Bitcoin addresses should be used exactly twice:  once to fund them and once to spend them - then never used again.
There's plenty of addresses with hundreds or even thousands of transactions on them, so what you're saying is that bitcoin isn't secure enough and those addresses are more at risk?

bitcoin address design for use one time is correct

I remember first time don't know about bitcoin  I look at bitcoin address I think may be bitcoin is cashless copy idea from RFID code, RFID wristband for use on event and activity ticket payment (cashless) by use one time and thrown away , and it use same thing RFID is better and Easy use bitcoin address is not easy to use require to print out and not easy to scan (I think bitcoin is cashless same RFID cashless system)

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March 23, 2021, 06:03:26 AM
 #1588

There's plenty of addresses with hundreds or even thousands of transactions on them, so what you're saying is that bitcoin isn't secure enough and those addresses are more at risk?

For now, and for the foreseeable future, those kind of addresses are very safe because nobody's been able to crack private keys in the full 2^256 range, or even half that length.

.
.BLACKJACK ♠ FUN.
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vincetcm
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March 23, 2021, 06:16:09 AM
 #1589


CODE #2
Code:
from bitcoin import privtoaddr
i = 18446744073709551616
while i >= 9223372036854775808:
    i -= 1
    y = privtoaddr(i)
    if y == '16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN':
        print(hex(i))
        break
I try to play around a lot with CODE #2, but still getting the same results.
Any suggestions to make it run faster or recommending faster tools are appreciated.
Thanks in advance.


The addresses your code generates are uncompressed. the address you need to find is compressed.


python library bitcoin give uncompressed address because hash from uncompressed public key

try change to use library bit
library bit has from compressed public key give compressed address

I am not sure not yet try run code
Code:
from bit import Key
i = 18446744073709551616
while i >= 9223372036854775808:
    i -= 1
    key = Key.from_int(i)
    y = key.address
    if y == '16jY7qLJnxb7CHZyqBP8qca9d51gAjyXQN':
        print(hex(i))
        break

Code:
# -- codeng: utf-8 --
# !/usr/bin/python
import secrets
from bitcoin import *
import secrets



import os
import time


import os, binascii, hashlib, base58, ecdsa
import random
import bitcoin
import os
import time
import utils

import requests

from ecdsa import SigningKey, SECP256k1
from secrets import token_bytes
from coincurve import PublicKey


def ripemd160(x):
    d = hashlib.new('ripemd160')
    d.update(x)
    return d
dosya1 = open("addresslist.txt", "r")
i = 1
a=100000000
c=59896944618658997711785492594343953926634992332820982019728792003955524819966
nDecimal=0x000000000000000000000000000000000000000000000001000000000009FD97
start = time.time()
while (i <= a):
       
        zaman = time.time() - start
       

        #private_key ="{:064x}".format(secrets.randbits(110))
        private_key ="{:064x}".format(c)
        # generate private key , uncompressed WIF starts with "5"
       
        def generar_HEX(nDecimal):
            aHex = hex(nDecimal)
            aHex = aHex[2:].upper()
            aHex = ((64-len(aHex)) * '0') + aHex
            return aHex

        nDecimal = nDecimal + 1
        private_key = generar_HEX(nDecimal)
        pub = privtopub(private_key)
        addr = pubtoaddr(pub)
        wif = encode_privkey(private_key, 'wif')
   
        compressed_private_key = private_key + '01'
        wif1 = bitcoin.encode_privkey(bitcoin.decode_privkey(private_key, 'hex'), \
        'wif_compressed')
        pub1 = private_key + '01'
        pub1 = privtopub(pub1)
        addr1 = pubtoaddr(pub1)

   
        dosya1.seek(0)
        aranan_varmı = dosya1.read().find(addr1)

        if aranan_varmı != -1:
            dosya2 = open("eslesme.txt", "a")
            dosya2.write(private_key + " " + addr1 + "\n")
            dosya2.close()
            print("----------BULUNDU----------")
            print("Private Key    : " + private_key)
            print("Address    : " + addr1)

            time.sleep(5)
        else:
            print("Private key =",private_key+ " "+"Address =",addr1+ '\t'+ str(i))
          #  print (amount)


dosya1.close()
print("Total Tİme = %s saniye " % zaman)
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March 23, 2021, 09:28:56 AM
 #1590

Has anyone solved this puzzle yet?
Matic
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March 23, 2021, 10:34:15 AM
 #1591

So old thread never ended up what could be the reason for that does anyone actually solve this riddle

fxsniper
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March 23, 2021, 11:35:42 AM
 #1592

Has anyone solved this puzzle yet?

Total 160 puzzle

puzzle #1 to #63 solve

many puzzle #64 to #160 not yet solve

now still have 86 puzzle

check update list in this thread

https://bitcointalk.org/index.php?topic=5218972.0

puzzle not easy to solve all
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March 23, 2021, 02:15:39 PM
 #1593

It will take a good while for the remaining bits of this puzzle to get solve.
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March 24, 2021, 09:24:08 AM
Last edit: March 24, 2021, 09:54:47 AM by Andzhig
 #1594

https://bitcointalk.org/index.php?topic=1306983.msg56623671#msg56623671 in the continuation of the devilry in which the devil breaks his head...

if it jumps from "sets" then our number itself is included in this "set" (from 2^60.* to 2^70.*)

only 3 comes out within 20 characters

2^62.72867377327342883206 7642094328016050713
2^63.72867377327342883206 15284188656032101427
2^64.72867377327342883206 30568377312064202854
2^65.72867377327342883206 61136754624128405709
2^66.72867377327342883206 122273509248256811419



   64.72867377327342883206 72867377327342883206   15284188656032101427      30568377312064202854         61136754624128405709
0 65.98190686841514498777 98190686841514498777 ['18216844331835720801', '36433688663671441603', '72867377327342883206', '14573475465468576641', '29146950930937153282', '58293901861874306564', '11658780372374861312', '23317560744749722625']
1 66.41221999761644313519 41221999761644313519 ['12273835855189312347', '24547671710378624694', '49095343420757249388', '98190686841514498777', '19638137368302899755', '39276274736605799510', '78552549473211599021', '15710509894642319804']
2 65.16004829745627751891 16004829745627751891 ['10305499940411078379', '20610999880822156759', '41221999761644313519', '82443999523288627037', '16488799904657725407', '32977599809315450815', '65955199618630901630', '13191039923726180326']
3 63.79514113288646090322 79514113288646090322 ['16004829745627751891', '32009659491255503782', '64019318982511007564', '12803863796502201512', '25607727593004403025', '51215455186008806051', '10243091037201761210', '20486182074403522420']
4 66.10784475589133269856 10784475589133269856 ['19878528322161522580', '39757056644323045160', '79514113288646090321', '15902822657729218064', '31805645315458436128', '63611290630916872257', '12722258126183374451']
5 63.22558982791169991994 22558982791169991994 ['10784475589133269855', '21568951178266539711', '43137902356533079423', '86275804713066158847', '17255160942613231769', '34510321885226463539', '69020643770452927078', '13804128754090585415']
6 64.29033581939002283438 29033581939002283438 ['11279491395584995996', '22558982791169991993', '45117965582339983987', '90235931164679967975', '18047186232935993595', '36094372465871987190', '72188744931743974380', '14437748986348794876']
7 64.65435637437148496233 65435637437148496233 ['14516790969501141719', '29033581939002283438', '58067163878004566876', '11613432775600913375', '23226865551201826750', '46453731102403653500', '92907462204807307001', '18581492440961461400']
8 65.82671037055289160231 82671037055289160231 ['16358909359287124058', '32717818718574248116', '65435637437148496232', '13087127487429699246', '26174254974859398493', '52348509949718796986', '10469701989943759397', '20939403979887518794']
9 66.16401578745271144384 16401578745271144384 ['10333879631911145028', '20667759263822290057', '41335518527644580115', '82671037055289160230', '16534207411057832046', '33068414822115664092', '66136829644231328184', '13227365928846265636']


where could it be theoretically

546  63.72838869180307975688 72838869180307975688 ['15281168746503495439', '30562337493006990878', '61124674986013981756', '12224934997202796351', '24449869994405592702', '48899739988811185404', '97799479977622370809', '19559895995524474161']
1726 65.05051704633589806037 05051704633589806037 ['19104112579657908258', '38208225159315816516', '76416450318631633033', '15283290063726326606', '30566580127452653213', '61133160254905306427', '12226632050981061285']
4088 65.05063077104366318521 05063077104366318521 ['19105618577247210060', '38211237154494420121', '76422474308988840242', '15284494861797768048', '30568989723595536096', '61137979447191072193', '12227595889438214438']
5998 66.05062246865788236741 05062246865788236741 ['19105508629021772898', '38211017258043545796', '76422034516087091592', '15284406903217418318', '30568813806434836636', '61137627612869673273', '12227525522573934654']


previous beginnings on...

x ≈ 57,47260929829303108225 pz 2^x=199976667976342049
x ≈ 58,86528843817681578662 pz 2^x=525070384258266191
x ≈ 59,97745056466928248097 pz 2^x=1135041350219496382
x ≈ 60,30646472899272860766 pz 2^x=1425787542618654982                      
x ≈ 61,76127369820932032912 pz 2^x=3908372542507822062                 
x ≈ 62,96354506567706003068 pz 2^x=8993229949524469768
x ≈ 63,???                     
x ≈ 64,72867377327342883206 pz 2^x=30568377312064202855              

now it is necessary to look at what options can be, which are not.

The required starts with 63.* and it is unlikely that after the decimal point it will start with 9 (63,96...) or like the next 7 (63,72...)

i.e. for example it suits us in a set for pz 63.

546  63.72838869180307975688 72838869180307975688 ['15281168746503495439', '30562337493006990878', '61124674986013981756', '12224934997202796351', '24449869994405592702', '48899739988811185404', '97799479977622370809', '19559895995524474161']
it starts at 63,72 2^63.72838869180307975688=15281168746503495439 then it disappears, next in set  2^64.72838869180307975688 = 30562337493006990878 "almost" what you need
for pz 63 2^66.72838869180307975688=12224934997202796351 disappears, starts on 2^66 (we can drop everything? starting with 12 122 1222)


1726 65.05051704633589806037 05051704633589806037 ['19104112579657908258', '38208225159315816516', '76416450318631633033', '15283290063726326606', '30566580127452653213', '61133160254905306427', '12226632050981061285']
4088 65.05063077104366318521 05063077104366318521 ['19105618577247210060', '38211237154494420121', '76422474308988840242', '15284494861797768048', '30568989723595536096', '61137979447191072193', '12227595889438214438']
5998 66.05062246865788236741 05062246865788236741 ['19105508629021772898', '38211017258043545796', '76422034516087091592', '15284406903217418318', '30568813806434836636', '61137627612869673273', '12227525522573934654']


they start with 65.* 66.* i.e. 2^64.05051704633589806037=19104112579657908258, 2^68.05051704633589806037=30566580127452653213, it seems like it fits, but it starts with 2^68. (need 2^63.).
2^70.05062246865788236741 = 1222752552257393465474 (we can drop everything? starting with 12 122 1222)


need to look at what's in the "sets" with 63,6***, 63,5***, 63,4***,..

Quote

from mpmath import *

mp.dps = 22; mp.pretty = True

n = "30568377312064202855" #3056 8377 3120 6420 2855

A=[]
B=[]

def func(n):
    a = log(n, 2)
    b = str(a)[3:]
    B.append(a)
    return b

def func2(n):
    a = log(n, 2)
    b = str(a)[3:]
    B.append(a)
    return a

#print(log(16401578745271144384,2))
print("2 ^ x =",n)
print("")
a1 = func(n)
A.append(a1)
print(func2(n),a1)

for x in range(0,50):
    for elem in A:
        f = func(elem)
        A=[]
        #print(f,len(f))
        if len(f) <= 20:
            h = 20 - len(f)
            g = "0" * h
            #print(g)
            ff = f+g
            for elem1 in B:
                if ff in str(elem1):
                    mp.dps = 22
                    F=[]

                    i = 60
                    while i <= 70:
                        n1 = str(i)
                        n2="."
                        n3=ff
                        nn = n1+n2+n3
                        #print(nn)

                        b = power(2,nn)
                        bb = str(b)[:20]
                        if "." not in bb:
                            F.append(bb)
                            #print(i,bb,len(bb))
                        #print("")
                        i=i+1

                    #print(F)
                    #F=[]

                    print(x,elem1,ff,F)
                    F=[]
                    mp.dps = 22; mp.pretty = True
            A.append(ff)
        #print(A)
        #A=[]    

    


print("")


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March 25, 2021, 06:54:57 PM
 #1595

bro you know how this series genrated and what logic used behind this formula.
                         

                                          1
                                        11
                                      111
                                    1000
                                  10101
                                110001
                              1001100
                            11100000
           




not really I'm not very experienced in Python ..
are these the keys which were found for this puzzle? if yes please let me know.

geenrate use crunch with two digit 0 and 1 and length as your required

13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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March 26, 2021, 01:49:47 AM
 #1596

They were generated in the same way like the ones:
Code:
KwaU4bVbTwJbr1TgE3xih8PHhGLL3QPLMR1k4bxTbhhmiMWK7RpQ
Kwb9qcKfscK6AEtZBBCubHehc88DpxiqDLceSYez7TzWedpimoKm
KwbKHeZ4UGBPc84dvBtJN7XRSfYLQS9v23kYxVu5XkUyNq7ahVa6
KwboqLj9EHeWapWSTJ5ykNhCuojzFQxa96vQBMojsw8gi63Jk1WY
KwcdQSGpozBFLyPbAysyMefqZ9R4M1xwMgRbMd3LeqKUc2u4A9vq
KwcK3EXVKZyyTmPZVf2kYoGM8KonJBNsYqMYen1uJLM7Tciqjj6D
KwcSW67bmtpdF54gzDGc75kuvpmakUKi7iipvqSLDz7MTKHFWEek
KwdK47ZNkykg3K5FCPKvbrQESgXZm7sbQkRU64F58MEcCcjqWPWZ
Kwe7L5LDaQ8ZVkjowGrMTT9tCB2NU2VNTK4octfN6716Q4t7ANDR
KwE9S3LAmKoBnDkm2UeSvXBQr58Xwpzp5BjDH5auM4cuDuii4ixe
KweatcNVv3bQuUq8qugXaN1oRrxh63L5fWP87j8Sw7WBvu2pXa1h
KweCuWb4NEHpfEp3gKZyfnUQtn5uVVn4tzFGh1w6qja1CnuuE5m8
KwEj4eaEVEF2e5SPSffHWVRZNPoRLB1fsQvDhac7gc4Ur6vPvLKp
KwEYDsuCW8H12LxsQiDLyGXPpoGf5d8TXoc7uRAnKBAnAVn1uFLZ
KwEYtYryipu6YrXj67ermRGMJ37S2om6SXBPpppbNP6pfw98v8Qa
KwEzBsyjykEoJyWQwPRQUjorbu8Nhz3Zo9XFPJbXUs1KsHKnE9E7
KwfawZKQQD1Aci4YbvehYZpjMT2EN1i8jNzsGrkR8knpoVTZKMfN
KwFcF4kNZNrHcsEWKtdNtAKZXsedGh7FzaHaL9BZ74vyE9NND94y
KwFF9p3JhuPor1Sys1RD1KT2t45JhrxH5YFyd2WNThCUZQktMpcD
KwFfkkzPi1hFdfUJZbqKHAZTkJu6QvtUYRPuYmmhoLpeoMCDZfvm
KwfK5kpN8Qj4jhoxtGaiv2w8ug1iQtLBVEkitrfSbJn16QksgDQr
KwfxyE488Ak17pt26z6fausEsFR5ieXohuqZtH1iitDrueeNh7ZA
Kwg6dCrTu7Przp1q25DV8vmh1A2d3o96SrUuX2g2sn2sdgYyHfRf
KwGfVgSDLzd3y9DedBoUc9iHCpoQhbxVT91k89S3Vs3EgayJk68C
KwgHimuwxkph9nnYkmDvNsUUM5ZiD9DiSDLsrjScgD1rMSoscu4N
KwgrgpzborSHFrkB8J98FF6Wwksc6vsBYYXfH7ZvgecjwobYBRGk
Kwh47Ur236B1v8G2AjBYNB5se9XPCrXUJn6fWhHwxgZc2QFDbAL4
KwHWCKNj4EbJRakaPmLg1PkPSsaRAVKYjS7m5A4nVoAVtYBotbSk
Kwi7b389WY8SEax9YaKpjCPYtt2yR3emPBNkQmKi3cLgxbGTeV5u
KwiokRv8kdzPsVh9britFZZgJSaX8E9epyDDjdA2sME4kMx1syBK
KwipgfJohxUSG4XiHWWoBuQMBsjzS1zXoPx7FPJ8tNfQv4snpZ76
Kwipwusdf8EJFwdPRUwB2ULuDfcueNL8pE8ity1Qn8MCgmkXYDf8
KwJBUnhJgPN6t1wPQZmSYpMqMLtPH8RkCd5RbiZyA8BvmWGCnmEU
KwjD44EHEKnt9ukASXXSbf1Qw9UNGFA8WvRwBU77D7iUM4parLG3
KwjGQc9p2NmbyqnZBNgtARpLci7RsGHMeCmyMZ8ag8Vb1djZAM5f
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KwKCrhgK9JWpaLLzpiqPHHfop8CJZTa49Tw7iixNa3GqbMaXB17S
Kwket92GCr2ffp9vcAe4D8FTrdsXsy32Ap7ruvax8QzqrF8ASJAp
KwKnmXrwcjqnbwZc8TdTYFLUr3jyAbJmEKLiNMUbCVzfPM6ojAAB
KwkqXq4Esza1e2rh2gd3i3HDRYeSpxwaHYvbgum8GRWoEFJYvCFy
KwKzqxjsD6kU7R9akx1TfynJvoBVxcCV6ftKvxUrK3C6UFi3oNCN
KwLkNFMWiqURqD5Cfm6Dtq32FymGgrZ2nXKcP8EYsQjmKLeyPjhe
KwMBqEMKUXeH9iCnMLEyqxQg2aJp7a6DQyy1s9Q1cYtQ82w8QpBH
KwmdRtNZPc4Lb3HjaWjRiKFBVhF3y6Qjmjd3zoVs9c2MEVDLA4eS
KwmK4sQqVsvrCswRbw6AH1znmy2agQpFMqnkWL1GMHbXWwX1BTq5
KwMwb8qam2Q4KosA2K1Wi7RiFTCr1XARazC6FJYvjKdaFCbCez5j
KwNFcPA2iHbumAHvv8JrQAdXBtw1VDBtghX9pKHEBX3DY4HEhFns
KwNqgHbdqcSdmHzWYWwqxdWAuPHq5Rucfwb3UdS5vrLHtNCFNtuD
KwoYeS199R3dL7x6rVgpTsYeB9bBHJrGK8oUpsJAacuicsFXEHj5
KwP1zcc1e4iYGDF2d5XxRfYyirC5e9R1VX7MfXLdqbGRvdK4s19w
KwP5ZR2rQ5Xuf2d6NGgSQUjaT8hf4pB1sXnAqkxUCpuj6So6aphW
KwPbs5z9NApxWpesT9n5qaMrqU1oDBhNjkhB1V6KTYzkf87aRx3J
Kwpe17eN581T9JmYXcMzeJxr71JCP4hDsuMFVMHV26u5z7GzuG1A
KwpiTpn9NwHSZo6wQx79J8ddmJqC7HNBz3pT2poq5rf7KvKpuBei
KwpmrATqUksF3tncsZcRq9hqfceXujXxMQefRsCrvYxeoq4H8mv5
KwpWFQKmq4rF3PyDDKRtMRVVKbdVUj7ThrxKXZEmxJp51WEtevAN
Kwpz7CMFk1zZBxfprVoUKstarwq3Px9qSCZMU9G7MhvDbjnPPVm8
KwQbUzBTNcQMaFmgLZZpXkcvCxuhwkdSev5oGVCtNbF8sHXZzejA
KwQCR1K2Nacq5EfKFEc35jRHM1tt4SRxZSAxkhC9whZ3aUav85F5
KwQoGrNsAjwWzvnteDsNrXux1YGoSP6u7u5CDPEngW1ejBUQN7Dd
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bitterguy28
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March 26, 2021, 02:12:36 AM
 #1597

Is there really a chance of this to be answered? there are tons of pages already yet nothing comes closer to the  correct answer  Grin
Has anyone solved this puzzle yet?



puzzle not easy to solve all
actually it is very hard lol  Grin

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March 26, 2021, 08:15:19 AM
Last edit: March 26, 2021, 05:37:28 PM by Andzhig
 #1598

There is no fact that experts on hacking (with experience in decades) will be able to come up with something (or have been hacked for a long time)

It looks more like rar password hacking. Each new step increases password long.

Quote
RAR Encryption is based on AES with a 256-bit key. Even taking into account the Moore law on Brut's 16-character persistent password, more than a century will be required.

Explanation why it is so

Length of the English alphabet 26 characters, plus 10 numbers. We have the full length of the password alphabet in 36 characters.
If Brut is used and we admit a repetition of symbols in a row, the number of possible combinations is equal to the factorial of the length of the alphabet.

36! = 3719933267899010000000000000000000000000.

This is the number of possible combinations.

Here they are talking about two GPUs and the speed is 15,000 overgoing per second.

From here we obtain, taking into account the law of Moore (every two years, performance doubles) the number of hips for 100 years:

15000 * 3600 * 24 * 365 * (2 ^ 50) = 5325956919328350000000000

It is easy to see that this number is much smaller than the above.

If we divide the initial number of password options for this number, we will receive the number of instances that will be required to break the password after 100 years.

371993326789901000000000000000000000000000/532595691932835000000000000 = 698453503144019

I believe that hacking the password even on the scale of the whole world does not make sense. It is much more profitable to use social engineering and any other non-technical approach.
And if the password is simply forgotten - to apply psychotechnics or abandon the venture.

By the way, if you add a password to the alphabet one character, the complexity of its brute force increases by the length of its alphabet. Therefore, it is so important to use a complex password with special mixes inside.
  

We have no compressed WIF 51 char.

5HpHagT65TZzG1PH3CSu63k8DbpvD8s5ip + 15 (51×51×51×51×51×51×51×51×51×51×51×51×51×51×51) = 41072642160770556400888251 all brut...

or

5HpHagT65TZzG1PH3CSu63k8DbpvD8s5ip7 + 14 = 805345924720991301978201 all brut...
5HpHagT65TZzG1PH3CSu63k8DbpvD8s5ip8 + 14 = 805345924720991301978201 all brut...
5HpHagT65TZzG1PH3CSu63k8DbpvD8s5ip9 + 14 = 805345924720991301978201 all brut...

It's even more than sorting out the numbers        18446744073709551615

Think just to find the number of long 20 char from 0-9 = 10×10×10×10×10×10×10×10×10×10×10×10×10×10×10×10×10×10×10×10 = 100000000000000000000
or analog 00-99                                                                                             100×100×100×100×100×100×100×100×100×100 = 100000000000000000000
e.t.c.

***

Therefore continue to dig in the sandbox...

Need one who can calculate the likelihood of probabilities and put traps.

throw a coin 1000 times (from set 00-99, len 100 to set "set" len 60) These 1000 sets ("set" len 60) retain in the string and save.

then for each of these 1000 ("set" len 60) we smack every string of 2 characters and choose new sets ( "new set" len 15 or 17)

We get out 1000×1000×1000 = 1000000000 And it is already starting to choose (traps) and mix (a,b,c-c,b,a-b,a,c-c,a,b)

How much will it be places to occupy 1000000000 rows of 15 or 17 characters you need to check))

In the picture with circles where the traps can be placed (or like that). With many complete cycles in these traps, we need it will be.

https://ibb.co/DC3tqYZ

How many 1 character takes 1 byte ... 17 by 2 + "" without converting a string 17*2*2 68000000000 byte > 68 Gb.

And it still needs to save on the disk and then somehow need to read (it's good if it can read the desired line without loading all the lines into memory).

Example 100x100x100

1000000

['38', '07', '22', '46', '45', '40', '22', '77', '59', '81', '85', '24', '62', '78', '34', '17', '89'] traps      1/1000000
['57', '46', '22', '76', '78', '22', '38', '16', '92', '24', '76', '60', '89', '89', '86', '17', '81'] traps     10/1000000
['76', '17', '92', '10', '75', '92', '93', '92', '92', '92', '92', '92', '33', '97', '46', '93', '64'] traps   100/1000000
['61', '16', '83', '10', '83', '92', '06', '43', '61', '40', '61', '85', '22', '16', '60', '10', '61'] traps  1000/1000000

then there is vomit or 65 to search or choose by initial for 63...

import random
import time

Nn =['00', '01', '02', '03', '04', '05', '06', '07', '08', '09',
     '10', '11', '12', '13', '14', '15', '16', '17', '18', '19',
     '20', '21', '22', '23', '24', '25', '26', '27', '28', '29',
     '30', '31', '32', '33', '34', '35', '36', '37', '38', '39',
     '40', '41', '42', '43', '44', '45', '46', '47', '48', '49',
     '50', '51', '52', '53', '54', '55', '56', '57', '58', '59',
     '60', '61', '62', '63', '64', '65', '66', '67', '68', '69',
     '70', '71', '72', '73', '74', '75', '76', '77', '78', '79',
     '80', '81', '82', '83', '84', '85', '86', '87', '88', '89',
     '90', '91', '92', '93', '94', '95', '96', '97', '98', '99']

RRR1 = []
RRR2 = []
i = 1
while i <= 100:

    for x1 in range(60): # set 00-99 screening out length
        DDD = random.choice(Nn)
        RRR1.append(DDD)

    RRR2.append(RRR1)
    RRR1=[]
    i=i+1

#for elem in RRR2:
#    print(elem)

RR1 = []
RR2 = []

for elem in RRR2:
    i = 1
    while i <= 100:
        for x1 in range(30):
            DDD = random.choice(elem)
            RR1.append(DDD)

        RR2.append(RR1)
        #print(RR1)
        RR1=[]
        i=i+1

print("")

#for elem in RR2:
#    print(elem)



R1 = []
R2 = []

for elem in RR2:
    i = 1
    while i <= 100:
        for x1 in range(17):
            DDD = random.choice(elem)
            R1.append(DDD)

        R2.append(R1)
        #print(R1)
        R1=[]
        i=i+1

print("")

#for elem in R2:
#    print(elem)

print(len(R2))    
print(R2[0])     #traps
print(R2[10])    #traps
print(R2[100])   #traps
print(R2[1000])  #traps
#print(R2[123456])


time.sleep(360.0)



***

or so "F5 throw a coin" 60 > 30 > 17



import random
import time


Nn =['00', '01', '02', '03', '04', '05', '06', '07', '08', '09',
     '10', '11', '12', '13', '14', '15', '16', '17', '18', '19',
     '20', '21', '22', '23', '24', '25', '26', '27', '28', '29',
     '30', '31', '32', '33', '34', '35', '36', '37', '38', '39',
     '40', '41', '42', '43', '44', '45', '46', '47', '48', '49',
     '50', '51', '52', '53', '54', '55', '56', '57', '58', '59',
     '60', '61', '62', '63', '64', '65', '66', '67', '68', '69',
     '70', '71', '72', '73', '74', '75', '76', '77', '78', '79',
     '80', '81', '82', '83', '84', '85', '86', '87', '88', '89',
     '90', '91', '92', '93', '94', '95', '96', '97', '98', '99']

#print(Nn,len(Nn))

RRR = []
RRR2 = []
count = 0
print("")
print("loop 1")
print("")
#for A in range (10000000):
i = 1
while i <= 1000:
    
    count += 1
    
    for RR in range(60):
        DDD = random.choice(Nn)
        RRR.append(DDD)    

    Nn1 =['30']
    Nn2 =['56']
    Nn3 =['83']
    Nn4 =['77']
    Nn5 =['31']
    Nn6 =['20']
    Nn7 =['64']
    Nn8 =['20']
    Nn9 =['28']
    Nn10 =['55']
    
    
    
    for elem1 in Nn1:
        if elem1 in RRR:
            
            for elem2 in Nn2:
                if elem2 in RRR:
                    
                    for elem3 in Nn3:
                        if elem3 in RRR:
                    
                            for elem4 in Nn4:
                                if elem4 in RRR:
                    
                                    for elem5 in Nn5:
                                        if elem5 in RRR:
                    
                                            for elem6 in Nn6:
                                                if elem6 in RRR:
                    
                                                    for elem7 in Nn7:
                                                        if elem7 in RRR:
                    
                                                            for elem8 in Nn8:
                                                                if elem8 in RRR:
                    
                                                                    for elem9 in Nn9:
                                                                        if elem9 in RRR:
                    
                                                                            for elem10 in Nn10:
                                                                                if elem10 in RRR:



                                                                                    print(count,"huuurrraaa...","   ",RRR,len(RRR),"   ",Nn1,Nn2,Nn3,Nn4,Nn5,Nn6,Nn7,Nn8,Nn9,Nn10)
                                                                                    RRR2.append(RRR)
                                                                                    break
    #print(RRR)                                            
    RRR = []
    
    #print(RRR)
    i=i+1


#print(RRR2)
print("")
print("loop 2")

RRR = []
RRR3 = []
count = 0


i = 1
while i <= 1000:
        
    count += 1
        
    for RR in range(30):
        DDD = random.choice(RRR2[0])
        RRR.append(DDD)    

    Nn1 =['30']
    Nn2 =['56']
    Nn3 =['83']
    Nn4 =['77']
    Nn5 =['31']
    Nn6 =['20']
    Nn7 =['64']
    Nn8 =['20']
    Nn9 =['28']
    Nn10 =['55']
        
        
        
    for elem1 in Nn1:
        if elem1 in RRR:
                
            for elem2 in Nn2:
                if elem2 in RRR:
                        
                    for elem3 in Nn3:
                        if elem3 in RRR:
                        
                            for elem4 in Nn4:
                                if elem4 in RRR:
                        
                                    for elem5 in Nn5:
                                        if elem5 in RRR:
                        
                                            for elem6 in Nn6:
                                                if elem6 in RRR:
                        
                                                    for elem7 in Nn7:
                                                        if elem7 in RRR:
                        
                                                            for elem8 in Nn8:
                                                                if elem8 in RRR:
                        
                                                                    for elem9 in Nn9:
                                                                        if elem9 in RRR:
                        
                                                                            for elem10 in Nn10:
                                                                                if elem10 in RRR:



                                                                                    print(count,"huuurrraaa...","   ",RRR,len(RRR),"   ",Nn1,Nn2,Nn3,Nn4,Nn5,Nn6,Nn7,Nn8,Nn9,Nn10)
                                                                                    RRR3.append(RRR)
                                                                                    break
        #print(RRR)                                            
    RRR = []
        
        #print(RRR)
    i=i+1
count = 0
print("")
#print(RRR2)
print("")
print("loop 3")

i = 1
while i <= 1000:
        
    count += 1
        
    for RR in range(17):
        DDD = random.choice(RRR3[0])
        RRR.append(DDD)    

    Nn1 =['30']
    Nn2 =['56']
    Nn3 =['83']
    Nn4 =['77']
    Nn5 =['31']
    Nn6 =['20']
    Nn7 =['64']
    Nn8 =['20']
    Nn9 =['28']
    Nn10 =['55']
        
        
        
    for elem1 in Nn1:
        if elem1 in RRR:
                
            for elem2 in Nn2:
                if elem2 in RRR:
                        
                    for elem3 in Nn3:
                        if elem3 in RRR:
                        
                            for elem4 in Nn4:
                                if elem4 in RRR:
                        
                                    for elem5 in Nn5:
                                        if elem5 in RRR:
                        
                                            for elem6 in Nn6:
                                                if elem6 in RRR:
                        
                                                    for elem7 in Nn7:
                                                        if elem7 in RRR:
                        
                                                            for elem8 in Nn8:
                                                                if elem8 in RRR:
                        
                                                                    for elem9 in Nn9:
                                                                        if elem9 in RRR:
                        
                                                                            for elem10 in Nn10:
                                                                                if elem10 in RRR:



                                                                                    print(count,"huuurrraaa...","   ",RRR,len(RRR),"   ",Nn1,Nn2,Nn3,Nn4,Nn5,Nn6,Nn7,Nn8,Nn9,Nn10)
                                                                                    #RRR3.append(RRR)
                                                                                    break
        #print(RRR)                                            
    RRR = []
        
        #print(RRR)
    i=i+1



 
Quote
loop 1

428 huuurrraaa...     ['14', '64', '23', '43', '22', '65', '95', '10', '74', '62', '77', '81', '11', '25', '87', '42', '30', '79', '16', '36', '84', '31', '16', '18', '57', '08', '21', '94', '50', '99', '53', '56', '69', '38', '77', '90', '15', '63', '45', '87', '76', '60', '89', '85', '87', '44', '96', '90', '28', '87', '80', '63', '10', '07', '12', '55', '83', '24', '34', '38', '20', '93', '47', '25', '20', '69', '51', '48', '75', '13'] 70     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']


loop 2
837 huuurrraaa...     ['77', '20', '94', '25', '77', '55', '14', '36', '10', '64', '15', '28', '87', '65', '25', '76', '13', '31', '79', '93', '90', '96', '56', '80', '30', '55', '83', '75', '94', '83'] 30     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']


loop 3
132 huuurrraaa...     ['28', '56', '77', '93', '13', '75', '64', '75', '76', '55', '31', '30', '83', '96', '87', '20', '93'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']



Here we have out of 1000 samples, the required one was found 428

1
...
428
...
1000 (60-70)

And for each we chose 30

1 - 1000
...
428 > 837
....
1000 - 1000 (25-30)

And from the 837 we found 123 (15-17)

that is enough 1000x1000= 1000000 (30 lenght), from file or mem for selection (15-17)

Then can create this file 1000000 (30 lenght) and drive it a randomly or fixed with a sample when replacing this file 1000000 (30 lenght) in a few days.

Or run a few samples for the first step (60)
he will jump on the desired samples from 1 > 428 > 1000
And we choose from them a fixed position 1000 samples with fixed sample 428

Or is it all a delusional idea ...  

loop 1 100000
loop 2 1000
loop 3 1000


83 huuurrraaa...     ['17', '77', '75', '28', '17', '20', '64', '39', '31', '74', '17', '56', '20', '30', '55', '01', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
1107 huuurrraaa...     ['83', '77', '39', '56', '20', '12', '55', '31', '28', '00', '63', '64', '30', '56', '14', '17', '56'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
1430 huuurrraaa...     ['56', '33', '12', '77', '55', '02', '31', '28', '14', '33', '12', '30', '83', '20', '64', '01', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2028 huuurrraaa...     ['19', '55', '83', '77', '43', '56', '20', '13', '13', '19', '30', '64', '31', '28', '21', '13', '06'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
3920 huuurrraaa...     ['39', '05', '64', '08', '56', '77', '28', '30', '27', '70', '27', '12', '76', '31', '83', '20', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
3991 huuurrraaa...     ['72', '08', '12', '30', '01', '64', '28', '05', '56', '44', '20', '20', '77', '83', '31', '55', '20'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
4505 huuurrraaa...     ['56', '77', '31', '30', '56', '28', '05', '64', '83', '77', '55', '42', '20', '33', '24', '72', '28'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
4556 huuurrraaa...     ['55', '83', '77', '31', '77', '72', '56', '55', '64', '88', '26', '42', '30', '20', '33', '28', '77'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
7113 huuurrraaa...     ['41', '77', '64', '20', '56', '60', '31', '83', '28', '69', '28', '49', '86', '86', '69', '30', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
7469 huuurrraaa...     ['83', '77', '69', '55', '41', '64', '31', '55', '83', '30', '55', '69', '28', '56', '49', '41', '20'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
9882 huuurrraaa...     ['56', '77', '81', '28', '10', '31', '07', '83', '20', '06', '64', '30', '20', '30', '55', '02', '01'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
10505 huuurrraaa...     ['30', '60', '33', '55', '20', '28', '28', '33', '64', '31', '77', '20', '33', '56', '64', '28', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
10654 huuurrraaa...     ['36', '20', '64', '89', '89', '28', '30', '86', '77', '20', '83', '55', '56', '31', '33', '28', '31'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
12215 huuurrraaa...     ['31', '83', '30', '43', '77', '57', '28', '55', '16', '56', '57', '28', '23', '64', '91', '94', '20'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
12685 huuurrraaa...     ['83', '11', '45', '20', '64', '91', '56', '90', '28', '28', '90', '55', '31', '23', '77', '20', '30'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
13747 huuurrraaa...     ['31', '77', '30', '28', '91', '64', '23', '77', '41', '20', '41', '30', '55', '16', '19', '56', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
13865 huuurrraaa...     ['43', '30', '83', '56', '28', '58', '64', '55', '20', '16', '11', '77', '31', '55', '41', '64', '31'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
13871 huuurrraaa...     ['83', '28', '16', '77', '30', '55', '30', '55', '20', '11', '31', '83', '77', '57', '77', '64', '56'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
16347 huuurrraaa...     ['28', '70', '61', '56', '55', '20', '31', '70', '05', '83', '76', '30', '31', '80', '38', '77', '64'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
17977 huuurrraaa...     ['55', '28', '20', '56', '28', '20', '28', '12', '56', '67', '64', '29', '31', '77', '83', '30', '56'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
18164 huuurrraaa...     ['28', '11', '31', '77', '55', '20', '83', '64', '83', '56', '33', '77', '49', '06', '30', '38', '77'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
20687 huuurrraaa...     ['64', '98', '55', '30', '56', '28', '77', '31', '83', '98', '20', '31', '28', '98', '28', '06', '49'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
23872 huuurrraaa...     ['14', '77', '31', '55', '07', '64', '28', '49', '51', '56', '20', '56', '20', '30', '31', '30', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']


loop 1 100000
loop 2 100000
loop 3 1000

961 huuurrraaa...     ['27', '27', '27', '68', '83', '77', '27', '55', '27', '27', '28', '20', '56', '68', '31', '64', '30'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2486 huuurrraaa...     ['27', '81', '00', '55', '56', '28', '64', '20', '83', '55', '29', '31', '77', '27', '30', '22', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
5863 huuurrraaa...     ['28', '71', '30', '27', '64', '55', '20', '65', '83', '29', '99', '99', '61', '31', '77', '14', '56'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
7435 huuurrraaa...     ['31', '07', '73', '28', '56', '30', '56', '07', '15', '64', '35', '77', '64', '83', '20', '20', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
8306 huuurrraaa...     ['30', '20', '76', '42', '28', '36', '36', '64', '56', '73', '31', '77', '28', '55', '30', '27', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
8672 huuurrraaa...     ['42', '77', '56', '28', '55', '20', '31', '29', '00', '81', '55', '64', '30', '73', '83', '83', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
8999 huuurrraaa...     ['83', '56', '27', '28', '31', '56', '55', '56', '92', '77', '20', '56', '30', '28', '30', '77', '64'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
9181 huuurrraaa...     ['73', '92', '20', '42', '83', '30', '31', '55', '64', '73', '28', '56', '20', '73', '30', '77', '73'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
12129 huuurrraaa...     ['77', '28', '30', '00', '64', '07', '56', '83', '30', '56', '68', '92', '20', '74', '77', '31', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
13618 huuurrraaa...     ['32', '79', '15', '04', '64', '31', '28', '56', '64', '04', '83', '55', '55', '77', '77', '20', '30'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
15672 huuurrraaa...     ['28', '30', '83', '03', '55', '64', '83', '76', '31', '77', '50', '27', '76', '56', '14', '20', '29'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
15984 huuurrraaa...     ['20', '31', '77', '14', '28', '56', '31', '64', '03', '99', '64', '55', '55', '83', '30', '64', '14'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
17184 huuurrraaa...     ['92', '83', '65', '31', '28', '41', '00', '64', '77', '28', '99', '30', '64', '55', '00', '56', '20'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
20035 huuurrraaa...     ['64', '20', '77', '20', '12', '57', '31', '50', '55', '56', '29', '28', '77', '30', '92', '55', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
20181 huuurrraaa...     ['28', '28', '83', '29', '64', '31', '56', '57', '55', '32', '20', '28', '20', '30', '12', '77', '30'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
20348 huuurrraaa...     ['30', '20', '71', '12', '83', '71', '12', '29', '31', '64', '29', '57', '28', '55', '31', '77', '56'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
20700 huuurrraaa...     ['31', '27', '28', '12', '12', '50', '64', '03', '50', '83', '20', '56', '28', '20', '77', '55', '30'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
26421 huuurrraaa...     ['31', '30', '12', '55', '70', '29', '12', '20', '35', '64', '83', '56', '77', '28', '30', '00', '71'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
36070 huuurrraaa...     ['74', '31', '55', '10', '17', '29', '31', '02', '77', '56', '30', '64', '64', '28', '31', '20', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
36174 huuurrraaa...     ['56', '31', '10', '26', '28', '35', '64', '77', '55', '30', '02', '65', '20', '83', '81', '83', '90'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
37751 huuurrraaa...     ['72', '30', '26', '31', '64', '65', '28', '56', '77', '31', '56', '20', '35', '29', '83', '48', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
39388 huuurrraaa...     ['52', '17', '88', '55', '83', '20', '77', '74', '30', '28', '74', '29', '56', '64', '80', '31', '17'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
41472 huuurrraaa...     ['77', '83', '64', '30', '20', '83', '19', '28', '39', '55', '31', '56', '93', '20', '40', '26', '64'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
42379 huuurrraaa...     ['64', '20', '28', '77', '24', '58', '28', '88', '56', '30', '31', '55', '83', '39', '55', '39', '52'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
...

2149902 huuurrraaa...     ['64', '68', '80', '28', '77', '61', '56', '30', '31', '41', '83', '80', '80', '77', '20', '55', '80'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2150060 huuurrraaa...     ['64', '20', '22', '31', '83', '30', '56', '20', '30', '30', '56', '77', '28', '05', '41', '55', '41'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2150438 huuurrraaa...     ['20', '30', '28', '56', '64', '31', '30', '56', '77', '41', '55', '30', '83', '83', '69', '20', '91'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2150942 huuurrraaa...     ['91', '56', '31', '20', '30', '30', '64', '83', '77', '55', '22', '64', '94', '20', '95', '28', '66'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2151627 huuurrraaa...     ['80', '31', '14', '55', '22', '77', '83', '30', '56', '15', '28', '68', '31', '22', '28', '20', '64'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2152941 huuurrraaa...     ['56', '30', '35', '77', '80', '14', '55', '83', '03', '00', '64', '28', '20', '83', '35', '05', '31'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2153463 huuurrraaa...     ['68', '20', '30', '35', '55', '31', '20', '55', '83', '32', '56', '55', '77', '88', '28', '64', '77'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2155518 huuurrraaa...     ['77', '28', '28', '64', '30', '83', '31', '77', '56', '77', '55', '20', '28', '55', '61', '83', '28'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2162821 huuurrraaa...     ['46', '30', '77', '65', '46', '37', '28', '31', '48', '20', '56', '76', '08', '64', '83', '28', '55'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2163547 huuurrraaa...     ['20', '83', '30', '83', '09', '28', '99', '47', '31', '77', '56', '30', '77', '64', '55', '48', '83'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']
2170943 huuurrraaa...     ['64', '30', '28', '20', '57', '77', '56', '83', '75', '83', '20', '28', '55', '83', '55', '80', '31'] 17     ['30'] ['56'] ['83'] ['77'] ['31'] ['20'] ['64'] ['20'] ['28'] ['55']


1321 count.
Homeless_PhD
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March 26, 2021, 07:05:27 PM
 #1599

GPUs are expensive today due to mining profitability - but older GPUs that cant mine ETH OR not well tested (yet) are cheap enough to, potentially, be used to crack #120-125 (at least i think so). I have no money (my budget is ~ 2k$ and thats the money i definitely would not spent now on computers - my "dark\black\doom day" savings) - but some rich enough enthusiast could try to - Tesla K80 it is really powerful ( i assume it should be 30-50% of the Tesla V100 power in BitCrack or Kangaroo). Tesla K80 could be found for 160-300 $. You'll need ~ 400-500 pcs. Each will eat around 300 W that will result in 120-150 kW Smiley) and will require motherboards/cpus/ram/powersource that also cost some money but you could use some old server hardware that is cheap enough (dont know for sure, but expect it to increase the overall cost up to 20-25%, not more). 400 * (300+100)$ == 160 000 $ for hardware AND 3-6 month of 150 kW == 650 000 kWh ~ 65 k$ (at 0.1 $ per kWh). I know - it is still seems not really profitable - but it's fun and the hardware will be able to do some other useful calculations (i believe tesla K80 could be used in mining on some unpopular altcoins - just not well tested/optimized).

150 kW - crazy for home use i'd say (yeah 400-500 GPUs all with server coolers - imaging living on airfield.

(Just reminding - i've tested some Private Keys using my script + BitCrack, you may see in "Examples": https://github.com/HomelessPhD/BTC32)
Andzhig
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March 27, 2021, 02:17:09 PM
 #1600

GPUs are expensive today due to mining profitability - but older GPUs that cant mine ETH OR not well tested (yet) are cheap enough to, potentially, be used to crack #120-125 (at least i think so). I have no money (my budget is ~ 2k$ and thats the money i definitely would not spent now on computers - my "dark\black\doom day" savings) - but some rich enough enthusiast could try to - Tesla K80 it is really powerful ( i assume it should be 30-50% of the Tesla V100 power in BitCrack or Kangaroo). Tesla K80 could be found for 160-300 $. You'll need ~ 400-500 pcs. Each will eat around 300 W that will result in 120-150 kW Smiley) and will require motherboards/cpus/ram/powersource that also cost some money but you could use some old server hardware that is cheap enough (dont know for sure, but expect it to increase the overall cost up to 20-25%, not more). 400 * (300+100)$ == 160 000 $ for hardware AND 3-6 month of 150 kW == 650 000 kWh ~ 65 k$ (at 0.1 $ per kWh). I know - it is still seems not really profitable - but it's fun and the hardware will be able to do some other useful calculations (i believe tesla K80 could be used in mining on some unpopular altcoins - just not well tested/optimized).

150 kW - crazy for home use i'd say (yeah 400-500 GPUs all with server coolers - imaging living on airfield.

(Just reminding - i've tested some Private Keys using my script + BitCrack, you may see in "Examples": https://github.com/HomelessPhD/BTC32)
If you are strong in the construction of graphs try something in geometry to catch (and not lose mind).There, for all sorts of radiuses, the tests of circles, inscribed circles and trapezes, stars etc, the chordam can be calculated something (in theory)  https://ibb.co/vq99Sd5 https://en.wikipedia.org/wiki/Bertrand_paradox_(probability) This is if we take our (21 length) numbers of 3 signs and conditionally 000 from above.
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