4 "signature": "sha256:8cfa7fab1d8d3830f8cdd550122b0b7f10258d8adb3ff205bd1feeca64418741"
15 "import matplotlib.pyplot as plt\n",
16 "import pandas as pd\n",
17 "import collections\n",
19 "%matplotlib inline\n",
21 "from cipherbreak import *\n",
23 "c8a = open('2014/8a.ciphertext').read()\n",
24 "c8b = open('2014/8b.ciphertext').read().strip()"
35 "freqs = pd.Series(english_counts)\n",
36 "freqs.plot(kind='bar')"
43 "output_type": "pyout",
46 "<matplotlib.axes.AxesSubplot at 0x7f25d36fa358>"
51 "output_type": "display_data",
52 "png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD+CAYAAAA+hqL9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
54 "<matplotlib.figure.Figure at 0x7f26006854e0>"
64 "freqs_8a = pd.Series(collections.Counter([l.lower() for l in c8a if l in string.ascii_letters]))\n",
65 "freqs_8a.plot(kind='bar')"
72 "output_type": "pyout",
75 "<matplotlib.axes.AxesSubplot at 0x7f25d37269b0>"
80 "output_type": "display_data",
81 "png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAD+CAYAAAAeRj9FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEIIIYQQQgghhBBCCCGEEEIIIQLk/wFJCFVD/Yn0OQAAAABJRU5ErkJggg==\n",
83 "<matplotlib.figure.Figure at 0x7f25d369f358>"
93 "c8as = sanitise(c8a)\n",
101 "output_type": "pyout",
104 "'nyvlggsyglchxfeuytqcesqxpziufiggrbjhpayncruyfpsxufiupskyrectmmcncruyregxigrlglbtiblmecebzsvrlpuxpbibjajrljreobajrlufigjehbezywtmgjyxfqxictsgrdgtbjafyoocwtmjblctwwucqmgofrlfmrfrlfwlbtijlwuypmchjqxicrfchumtsmzjbimyvhcuvyrugxjcwpdtpuisrlfdhbaencyqumufeogrhcrjmytqsmsxjmrcsxjrmttiswzvjrfpecjitnidgemdssaitasvjhuyofgxpsxgmvvqfvrxiyxxmymbxfjpufigbeufeuuiiyzfavbaofbxicmsamqfisqwpgrtribbmtskhcwuuimcxufinbitrvpwxsmnbljppytuixgpmlifbgpmtfpeugsodvpkxicsnyrjeswcvokioreoyvnchggkirishiuyrerlfdpjeluasorvpjwzqxfkwgpsnyhsmrfkiblaigpfuiociersflwvpiuusufmoewpliufeuuiemrprwflhdpmuggbjmodsskeugsoygsmwtrlfzecypnyreyftrvbgxblhuusufeuuivqiblsoavjrmdyplcchcrfpeugsonvprsdmpplxiyxdfeolimemwcrufimczfjsgasnkmukiorxicjeylbtitfsxlmobiwcppnmoexigwqjeogenqyscxiyxufizummjvfgrtreucxictpuisqyqnpzumufmoyjfuqplxiqfvrajrlmsglrlfwajjpomxhsitqxiyxxcoomabzsvrmuyreuixgpmnyugxpsxpdfvqmocwtdssjsoeiomyhfxpasncyqumufeqjeomjpsvpurumiynppgxjrmorlfkiblxjkixcrpuoomaufeurlfgvigkicwuqidsvjrcdmqnsrjaeugsoqescioavznxfbytgrhygbbioswdgticvtmafaeoqxbpxisrugrhrlsmyhfxichbrecywfdssmxicvjlxfpgfnxtuidyrdpedixigwnycccxicfscelrlsmyhfaffewcffcrmmslgrhdssgrufiggkirehymoqxufigbemcxtlsuqgscajryqypmrlfzitrlbpvz'"
114 "key_a, score = vigenere_frequency_break(c8as)\n",
117 "language": "python",
122 "output_type": "pyout",
125 "('bye', -1461.9840974270046)"
135 "' '.join(segment(vigenere_decipher(c8as, key_a)))"
137 "language": "python",
142 "output_type": "pyout",
145 "'mark i cracked what appears to be the final document about the trojan deployment and i think i have an idea about how to deal with it and with the flag day associates the principal weakness of any system like the one they have installed is the need to provide large quantities of power the fda came up with an ingenious solution but it is very vulnerable special forces could take it out for us but that would tell the fda that we have cracked their ciphers so instead i suggest we let them destroy trojan for us we will need cooperation from the omani government an armed fighter jet and the flight control systems from a drone meanwhile we need to ensure two things one that we do not send critical information across the ba balm and abstrait and two that we use an on critical key generation protocol on that channel given the level of commitment the fda have shown in developing this plan i am sure that they will reinstate the powersupply within a few months but with luck they will not guess that we know about it and we will put it out of business for long enough to come up with a plan of our own to exploit it in the meantime we now know that their highest security communications are encrypted using a caden us cipher so we can start hunting through the database for other intercepts we can crack this maybe the breakthrough we have been looking for in the fight against the fda lets not screw it up all the best harry'"
157 "language": "python",
162 "output_type": "pyout",
175 "[c for c in chunks(c8b, 5)]"
177 "language": "python",
182 "output_type": "pyout",
1192 "cell_type": "code",
1195 "[(int(c, 2)) for c in chunks(c8b, 5)]"
1197 "language": "python",
1202 "output_type": "pyout",
2212 "cell_type": "code",
2215 "max([(int(c, 2)) for c in chunks(c8b, 5)])"
2217 "language": "python",
2222 "output_type": "pyout",
2223 "prompt_number": 10,
2232 "cell_type": "code",
2235 "max([chr(int(c, 2) + ord('a')) for c in chunks(c8b, 5)])"
2237 "language": "python",
2242 "output_type": "pyout",
2243 "prompt_number": 11,
2252 "cell_type": "code",
2255 "def cadenus_letter(n, doubled='v'):\n",
2256 " letter = chr(n + ord('a'))\n",
2257 " if letter > doubled:\n",
2258 " letter = chr(n + ord('a') + 1)\n",
2261 "language": "python",
2267 "cell_type": "code",
2270 "c8bl = ''.join([cadenus_letter(int(c, 2), doubled='z') for c in chunks(c8b, 5)])\n",
2273 "language": "python",
2278 "output_type": "pyout",
2279 "prompt_number": 13,
2281 "'afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdtoipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlimlpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxsoaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaeseeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypaidyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogyiterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsiantaoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefeisiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghynweintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeemrpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylonahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda'"
2288 "cell_type": "code",
2291 "min(c8bl), max(c8bl)"
2293 "language": "python",
2298 "output_type": "pyout",
2299 "prompt_number": 14,
2308 "cell_type": "code",
2311 "len(c8bl), len(c8bl) / 25"
2313 "language": "python",
2318 "output_type": "pyout",
2319 "prompt_number": 15,
2328 "cell_type": "code",
2331 "freqs_8b = pd.Series(collections.Counter([l.lower() for l in c8bl if l in string.ascii_letters]))\n",
2332 "freqs_8b.plot(kind='bar')"
2334 "language": "python",
2339 "output_type": "pyout",
2340 "prompt_number": 16,
2342 "<matplotlib.axes.AxesSubplot at 0x7f25d357dc18>"
2347 "output_type": "display_data",
2348 "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAD+CAYAAAAnIY4eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCGEEEIIIYQQYpLy/29rz2xVUOLbAAAAAElFTkSuQmCC\n",
2350 "<matplotlib.figure.Figure at 0x7f25d357d278>"
2357 "cell_type": "code",
2360 "freqs = pd.Series(english_counts)\n",
2361 "freqs.plot(kind='bar')"
2363 "language": "python",
2368 "output_type": "pyout",
2369 "prompt_number": 17,
2371 "<matplotlib.axes.AxesSubplot at 0x7f25d351a940>"
2376 "output_type": "display_data",
2377 "png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD+CAYAAAA+hqL9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
2379 "<matplotlib.figure.Figure at 0x7f25d34b3e48>"
2386 "cell_type": "code",
2389 "rows = chunks(c8bl, len(c8bl) // 25)\n",
2392 "language": "python",
2397 "output_type": "pyout",
2398 "prompt_number": 18,
2400 "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefe',\n",
2401 " 'ofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsv',\n",
2402 " 'sielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiie',\n",
2403 " 'rwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdto',\n",
2404 " 'ipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlim',\n",
2405 " 'lpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaee',\n",
2406 " 'isciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonn',\n",
2407 " 'asgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxs',\n",
2408 " 'oaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaes',\n",
2409 " 'eeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebios',\n",
2410 " 'dienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypai',\n",
2411 " 'dyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlev',\n",
2412 " 'asadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogy',\n",
2413 " 'iterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsian',\n",
2414 " 'taoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefe',\n",
2415 " 'isiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaota',\n",
2416 " 'hcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmu',\n",
2417 " 'ppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienni',\n",
2418 " 'klysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n",
2419 " 'ynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghyn',\n",
2420 " 'weintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaa',\n",
2421 " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeem',\n",
2422 " 'rpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylon',\n",
2423 " 'ahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatef',\n",
2424 " 'aaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda']"
2431 "cell_type": "code",
2434 "chunks(''.join([l if l in 'phase' else '.' for l in c8bl]), 56)"
2436 "language": "python",
2441 "output_type": "pyout",
2442 "prompt_number": 19,
2444 "['a..ae....a..h....e..se..hsh..ah....p...e.a.pp.....e..e.e',\n",
2445 " '......s...ee..s...e...e..aa.s...e.......e.h.ah.a.e.ee.s.',\n",
2446 " 's.e.h..s...a...aes.........h.hh.s.a......ss...ea..ee...e',\n",
2447 " '...a.es.....e...ss..p...a.sa.ae.ae........e...pssha.h...',\n",
2448 " '.paa.e.e..esa......es.......p..e......a.a.ee............',\n",
2449 " '.ps...e......a..eee..a...e.sa.h...s...e..s.........p.aee',\n",
2450 " '.s...h.pse.ee..e..a..he..ea...h...ep...a..h.e....p..e...',\n",
2451 " 'as..e..eee.aa..........a..es..se..se..h....psaaeh..hs..s',\n",
2452 " '.a......s.e...sa..........ep..h.e.h...a.e.ee......eeeaes',\n",
2453 " 'eee...s...e.....e.ha.a.se...........e.sa.e.es...s.he...s',\n",
2454 " '..e.a..e.sah....e...a.a.a....a..ha.........e.........pa.',\n",
2455 " '...e....e.hh....e..esse......ep...aes.a...ah.e.e...e..e.',\n",
2456 " 'asa....h.e..e..sah.hh.a...e..h....haeeee.s.ee.a.e.se....',\n",
2457 " '..e...h.......a....e...h..eh...a.....a.a.a..sese....s.a.',\n",
2458 " '.a.........e...h.........as..eaee...s.......p.a...ea.e.e',\n",
2459 " '.s.....s......sp..s..e.ph...h.a...s......a.s.p.....aa..a',\n",
2460 " 'h.eh..e...e.ae...s..h..a......e....e.e....s.....a.......',\n",
2461 " 'pp...ea.....aa.a.e.e....ee.a.......e................e...',\n",
2462 " '...s..s.....p.p....ss...e.as...s..ea......h..h...p...ep.',\n",
2463 " '..a.s..s..sa.es...ae......a..eea.s.......s..ha.e...s.h..',\n",
2464 " '.e...e......ee..a...s..aae...........eh............a..aa',\n",
2465 " '..ee.....h.s...ea...e.e.e....a....pe....aha...e......ee.',\n",
2466 " '.pa.....a.es..ssp....ee...a.h....ss.s..p......p.aeea....',\n",
2467 " 'aha.........a....e...a.e..........ee........e...aheea.e.',\n",
2468 " 'aaep.....shee..pa.e..e......e..h.es......s.s........p..a']"
2475 "cell_type": "code",
2478 "columns = [''.join(c) for c in zip(*rows)]\n",
2481 "language": "python",
2486 "output_type": "pyout",
2487 "prompt_number": 20,
2489 "['aosriliaoeddaitihpkywnraa',\n",
2490 " 'ffiwppssaeiystascplneopha',\n",
2491 " 'cietascgoeeiaeoiedyaieaae',\n",
2492 " 'aolaatidtinedrlihislneoup',\n",
2493 " 'erhntooecdagnltittostlltr',\n",
2494 " 'utleelhdtifdnicyuegnedinr',\n",
2495 " 'ososxeiobslnthiieasvgottc',\n",
2496 " 'tdsrefpeboemhtysintsoiocr',\n",
2497 " 'tdtvntsesgiencmirdcddnano',\n",
2498 " 'aodonreeocsremikriioihfts',\n",
2499 " 'ceogedvoeeahiidvetfsiuech',\n",
2500 " 'teaismeaiohhtoetdmyalssbe',\n",
2501 " 'huleauearmoieinwaapnegoae',\n",
2502 " 'rmoigadmnncoirtieaieeiowr',\n",
2503 " 'isyyrrttsritiatscipsdtslr',\n",
2504 " 'ocawoiecatfrsrhptavitesop',\n",
2505 " 'lresbewideeeaflroiitaapna',\n",
2506 " 'eusstefcljvthdtbsedfrofel',\n",
2507 " 'temdleatyhmcuonsnlvanrnfe',\n",
2508 " 'crngeirttafehedireseoiltd',\n",
2509 " 'snnpsinirgashtxnhosnsenoi',\n",
2510 " 'efdvrahfratsuntevnmlrceae',\n",
2511 " 'reionoenubaeaitlnnntceetn',\n",
2512 " 'ttgirlbansnimhtparcgavoeg',\n",
2513 " 'hlnaonldrealotmhoeeoaeoci',\n",
2514 " 'saniieercntdnnardeidemtvd',\n",
2515 " 'harsrwaeeirreesmodaannaor',\n",
2516 " 'tfhaysosptnbfhboiastdtcwr',\n",
2517 " 'rsoopatrtlicyilhkoittrhde',\n",
2518 " 'athaboottwaehieiodiecallo',\n",
2519 " 'hwheghhshtgplkaaebteutlwu',\n",
2520 " 'kitoerterrnroaegtosatmivh',\n",
2521 " 'yesadttrenhinmencinittrnv',\n",
2522 " 'onnecltoubagwrtliunsffsne',\n",
2523 " 'rtadlseshmtahdlsnmeidpses',\n",
2524 " 'prorltpenineamileeacrexeu',\n",
2525 " 'fviniontkemsensvnltrbusdr',\n",
2526 " 'roliwbcrtlioeaiierioecoto',\n",
2527 " 'gontaekhasbaedrtuotohufiy',\n",
2528 " 'encrltaccandeatortotttpit',\n",
2529 " 'oennanoierilonwdrnmmmadon',\n",
2530 " 'arsxlsncceutsataitrsfhfis',\n",
2531 " 'dhseelhtetfanouisthmiatgo',\n",
2532 " 'puiievwpeeehedrsdtbftmfts',\n",
2533 " 'pacgnfeslsniespdcgnhotrei',\n",
2534 " 'jhrriitarrreyefpoihaonngn',\n",
2535 " 'nrepgvmawntvasanutnurepmu',\n",
2536 " 'gaasrdvengoeneiyrniedwrti',\n",
2537 " 'lvnsroyhistbeildardnroaau',\n",
2538 " 'tenhnvplrntriytdglpiunehi',\n",
2539 " 'ereawtrdehrcsceclrrriieeo',\n",
2540 " 'reedyprheeneelaavilsacaef',\n",
2541 " 'neihroesebyntsoaiergodyap',\n",
2542 " 'etidlaofaiploieomnehyeltr',\n",
2543 " 'fsitienxeoaegaftmnpyaeoed',\n",
2544 " 'eveomensssivyneauionamnfa']"
2551 "cell_type": "code",
2554 "letter_positions = {letter: [(r, c) for r, row in enumerate(rows) for c, char in enumerate(row) if char == letter] \n",
2555 " for letter in deduplicate('phaseseven')}\n",
2558 "language": "python",
2563 "output_type": "pyout",
2564 "prompt_number": 21,
2684 " 'n': [(0, 46),\n",
2792 " 's': [(0, 20),\n",
2880 " 'p': [(0, 35),\n",
2914 " 'v': [(1, 36),\n",
2938 " 'h': [(0, 12),\n",
3176 "cell_type": "code",
3179 "keycolumn = make_cadenus_keycolumn(reverse=True)\n",
3180 "inverse_keycolumn = {v: l for l, v in keycolumn.items()}\n",
3183 "language": "python",
3188 "output_type": "pyout",
3189 "prompt_number": 22,
3222 "cell_type": "code",
3225 "def valid_partial_solution(solution, inverse_keycolumn):\n",
3226 " row_indices = [p[0] for p in sorted(solution, key=lambda x: x[1])]\n",
3227 " row_letters = [inverse_keycolumn[i] for i in row_indices]\n",
3228 " letter_pairs = ngrams(row_letters, 2)\n",
3229 " return all(p[0] <= p[1] for p in letter_pairs)"
3231 "language": "python",
3237 "cell_type": "code",
3240 "solutions = [[p] for p in letter_positions['p']]\n",
3241 "for letter in 'ha': #'haseseven':\n",
3242 " new_solutions = []\n",
3243 " for solution in solutions:\n",
3244 " used_columns = [p[1] for p in solution]\n",
3245 " for position in letter_positions[letter]:\n",
3246 " if position[1] not in used_columns:\n",
3247 " if valid_partial_solution(solution + [position], inverse_keycolumn):\n",
3248 " new_solutions += [solution + [position]]\n",
3249 " solutions = new_solutions\n",
3252 "language": "python",
3257 "output_type": "pyout",
3258 "prompt_number": 24,
3267 "cell_type": "code",
3270 "valid_partial_solution(solutions[1], inverse_keycolumn)"
3272 "language": "python",
3277 "output_type": "pyout",
3278 "prompt_number": 25,
3287 "cell_type": "code",
3291 "for p in solutions[1]:\n",
3292 " this_column = columns[p[1]]\n",
3293 " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n",
3294 " display += [rotated_column]\n",
3295 "display_rows = [''.join(r) for r in zip(*display)]\n",
3298 "language": "python",
3303 "output_type": "pyout",
3304 "prompt_number": 26,
3337 "cell_type": "code",
3340 "def display_solution(solution, columns):\n",
3342 " for p in solution:\n",
3343 " this_column = columns[p[1]]\n",
3344 " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n",
3345 " display += [rotated_column]\n",
3346 " return [''.join(r) for r in zip(*display)]"
3348 "language": "python",
3354 "cell_type": "code",
3357 "display_solution(solutions[0], columns)"
3359 "language": "python",
3364 "output_type": "pyout",
3365 "prompt_number": 28,
3398 "cell_type": "code",
3401 "sum(Ptrigrams(r) for r in display_rows)"
3403 "language": "python",
3408 "output_type": "pyout",
3409 "prompt_number": 29,
3411 "-109.09171451522874"
3418 "cell_type": "code",
3421 "def score_solution(solution, columns):\n",
3423 " for p in solution:\n",
3424 " this_column = columns[p[1]]\n",
3425 " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n",
3426 " display += [rotated_column]\n",
3427 " display_rows = [''.join(r) for r in zip(*display)]\n",
3428 " return sum(Ptrigrams(r) for r in display_rows)"
3430 "language": "python",
3436 "cell_type": "code",
3439 "[(s, display_solution(s, columns), score_solution(s, columns)) for s in solutions[:10]]"
3441 "language": "python",
3446 "output_type": "pyout",
3447 "prompt_number": 31,
3449 "[([(0, 35), (0, 12), (0, 0)],\n",
3475 " -112.23213925765266),\n",
3476 " ([(0, 35), (0, 12), (0, 3)],\n",
3502 " -109.09171451522874),\n",
3503 " ([(0, 35), (0, 12), (0, 9)],\n",
3529 " -105.51902198106185),\n",
3530 " ([(0, 35), (0, 12), (0, 29)],\n",
3556 " -106.91642615054437),\n",
3557 " ([(0, 35), (0, 12), (0, 41)],\n",
3583 " -100.92420426683796),\n",
3584 " ([(0, 35), (0, 12), (1, 44)],\n",
3610 " -108.53207489276411),\n",
3611 " ([(0, 35), (0, 12), (1, 47)],\n",
3637 " -109.50900823047225),\n",
3638 " ([(0, 35), (0, 12), (2, 47)],\n",
3664 " -114.40196859359595),\n",
3665 " ([(0, 35), (0, 12), (3, 50)],\n",
3691 " -106.68850150792129),\n",
3692 " ([(0, 35), (0, 12), (4, 38)],\n",
3718 " -108.49770543928673)]"
3725 "cell_type": "code",
3728 "sorted(solutions[:10], key=lambda s: score_solution(s, columns), reverse=True)"
3730 "language": "python",
3735 "output_type": "pyout",
3736 "prompt_number": 32,
3738 "[[(0, 35), (0, 12), (0, 41)],\n",
3739 " [(0, 35), (0, 12), (0, 9)],\n",
3740 " [(0, 35), (0, 12), (3, 50)],\n",
3741 " [(0, 35), (0, 12), (0, 29)],\n",
3742 " [(0, 35), (0, 12), (4, 38)],\n",
3743 " [(0, 35), (0, 12), (1, 44)],\n",
3744 " [(0, 35), (0, 12), (0, 3)],\n",
3745 " [(0, 35), (0, 12), (1, 47)],\n",
3746 " [(0, 35), (0, 12), (0, 0)],\n",
3747 " [(0, 35), (0, 12), (2, 47)]]"
3754 "cell_type": "code",
3757 "solutions = sorted(solutions, key=lambda s: score_solution(s, columns), reverse=True)[:10000]"
3759 "language": "python",
3765 "cell_type": "code",
3768 "for letter in 'seseven': #'haseeight':\n",
3769 " new_solutions = []\n",
3770 " for solution in solutions:\n",
3771 " used_columns = [p[1] for p in solution]\n",
3772 " for position in letter_positions[letter]:\n",
3773 " if position[1] not in used_columns:\n",
3774 " if valid_partial_solution(solution + [position], inverse_keycolumn):\n",
3775 " new_solutions += [solution + [position]]\n",
3776 " solutions = sorted(new_solutions, key=lambda s: score_solution(s, columns), reverse=True)[:10000]\n",
3779 "language": "python",
3784 "output_type": "pyout",
3785 "prompt_number": 34,
3794 "cell_type": "code",
3797 "display_solution(solutions[0], columns)"
3799 "language": "python",
3804 "output_type": "pyout",
3805 "prompt_number": 35,
3838 "cell_type": "code",
3841 "hinted_keywords = [w for w in keywords if w[0] =='f' if len(transpositions_of(w)) == 7]\n",
3842 "len(hinted_keywords)"
3844 "language": "python",
3849 "output_type": "pyout",
3850 "prompt_number": 36,
3859 "cell_type": "code",
3862 "hinted_keywords[:10]"
3864 "language": "python",
3869 "output_type": "pyout",
3870 "prompt_number": 37,
3888 "cell_type": "code",
3891 "first_chunk = c8bl[:175]\n",
3894 "language": "python",
3899 "output_type": "pyout",
3900 "prompt_number": 38,
3909 "cell_type": "code",
3912 "[cadenus_decipher(first_chunk, w, keycolumn)[:20] for w in hinted_keywords]"
3914 "language": "python",
3919 "output_type": "pyout",
3920 "prompt_number": 39,
3922 "['gatlrlnjtonethnirreh',\n",
3923 " 'raorejnptreanhriaeso',\n",
3924 " 'raohoanptraesrriasul',\n",
3925 " 'raohhanptraemrriasln',\n",
3926 " 'raorhaeptrnemsrianln',\n",
3927 " 'raonlneptrnissriaaoc',\n",
3928 " 'garhrarjtartsnnifphn',\n",
3929 " 'raoaalapteesnfriunnr',\n",
3930 " 'raonanhpterfrariutpn',\n",
3931 " 'garehhrjteaaraniessp',\n",
3932 " 'raonhalpterafnriutsp',\n",
3933 " 'fainrleptorniseirtno',\n",
3934 " 'raoaanhptemfrariunpn',\n",
3935 " 'raloannptirsrhrioalt',\n",
3936 " 'falmireptinonseiosrn',\n",
3937 " 'ralhaanptiafmrriospn',\n",
3938 " 'faeilenptnoisreirroo',\n",
3939 " 'raeoeanptneafhrirusp',\n",
3940 " 'earotktntvrugheivarj',\n",
3941 " 'gaeorhojtarernnisaep',\n",
3942 " 'gaeorhnjtarerhnisaep',\n",
3943 " 'raeooaeptareesrisaun',\n",
3944 " 'garnahrjtvenranivrep',\n",
3945 " 'raalaenptmifsrrinopo',\n",
3946 " 'faoeoepptnneareihrus',\n",
3947 " 'falhonpptnaerreirsut',\n",
3948 " 'fanroanpthiesreiaoul',\n",
3949 " 'fanhonpptraerreinsut',\n",
3950 " 'rahnaanptaofmrrisepn',\n",
3951 " 'fahrrinptaitoreisohh',\n",
3952 " 'rarrjaaptnensfrineon',\n",
3953 " 'gaaohrmjtsrrnnninapn',\n",
3954 " 'gaaarhrjtsenraninnnp',\n",
3955 " 'gasrlhrjtntnraniehrp',\n",
3956 " 'fasanomptnensneieean',\n",
3957 " 'raalrempftinsnrpiono',\n",
3958 " 'raaorejpftneanrpihes',\n",
3959 " 'ghrrlanjratnthnpfhri',\n",
3960 " 'gharnarjreaetvnpnfai',\n",
3961 " 'frtroenppwthsredoheo',\n",
3962 " 'frahoepppeaearednsus',\n",
3963 " 'raeaoalpfnsntirprlhi',\n",
3964 " 'raaiahnpfmotarrpnhis',\n",
3965 " 'froiianppnoosredhhrl',\n",
3966 " 'rahrinnpfaeeorrpsere',\n",
3967 " 'rahaaiupfaeselrpsnlr',\n",
3968 " 'raaerejpfsreanrpnpes',\n",
3969 " 'graeohnjetarrhneisap',\n",
3970 " 'fitahanpoimesrerenln',\n",
3971 " 'grtaaahjeosntrnernei',\n",
3972 " 'rotaaanpeosetrrurnni',\n",
3973 " 'roieaaopeeanfnrureep',\n",
3974 " 'rrejahnpernfarrepops',\n",
3975 " 'rrejarepernfnsrepopn',\n",
3976 " 'fopalrnpertntheuiirh',\n",
3977 " 'frpnhrlperoapneeiesd',\n",
3978 " 'foperehpernpaaeuirds',\n",
3979 " 'fopalaapersnteeuinri',\n",
3980 " 'rrjalaepensnfrreonrp',\n",
3981 " 'fopaarnpersmpreuinnd',\n",
3982 " 'roatalhpeeifnarunepr',\n",
3983 " 'gtfiehrjuterranrrrep',\n",
3984 " 'rrainanpeneofhreerep',\n",
3985 " 'filhranpoiapmrerosdn',\n",
3986 " 'rrrajaapevtnnfrevioe',\n",
3987 " 'roeaaanpeatefhrusinp',\n",
3988 " 'rreinanpeaeofhresrep',\n",
3989 " 'ronealnperrfnhrutppr',\n",
3990 " 'fioraenpohpmsreredno',\n",
3991 " 'fonprlnperrpnheutidr',\n",
3992 " 'finlrenporipsrertodo',\n",
3993 " 'rrlatajpenfisnrerpen',\n",
3994 " 'rooaeaepenfntaruhpri',\n",
3995 " 'fiairnhpomopraernhdn',\n",
3996 " 'pfomrteddsnnwstcnsno',\n",
3997 " 'rrninalpeheofnrearep',\n",
3998 " 'fonrraeperipmseunodn',\n",
3999 " 'fonrnrhperirpaeunotd',\n",
4000 " 'pfnsoaiddsoseetccrne',\n",
4001 " 'grnatahjeetonrnesire',\n",
4002 " 'grnarhrjeetnranesinp',\n",
4003 " 'ronarampeetnfnrusinp',\n",
4004 " 'roaaeaepeifresrueppn',\n",
4005 " 'finnnorpoesnsperscan',\n",
4006 " 'rosaanmpeoftnnrurpia',\n",
4007 " 'flapannpitrsrheoiilt',\n",
4008 " 'raaeoaopntaefnreieup',\n",
4009 " 'faaeorppntaevreeieuv',\n",
4010 " 'eaattktnntrogheeivrj',\n",
4011 " 'gaanthnjeteorhnniarp',\n",
4012 " 'rlaealnpitnfnhroirpr',\n",
4013 " 'faanorppeteevreniauv',\n",
4014 " 'raaejanpetanfhrnisop',\n",
4015 " 'gaarehrjntvaraneivep',\n",
4016 " 'raaeuaopetalfnrnisip',\n",
4017 " 'faaooeppetnearenihus',\n",
4018 " 'gaanehrjnthrraneiaep',\n",
4019 " 'raannalpethofnrniaep',\n",
4020 " 'eaahtktnntaogheeisrj',\n",
4021 " 'ftaaormpwtshnneoinen',\n",
4022 " 'ftashanpwtnemreoieln',\n",
4023 " 'ftashnapwtnenmeoiela',\n",
4024 " 'faasoeppetnearenieus',\n",
4025 " 'faaeoeppetsearenious',\n",
4026 " 'farnorppepeevrendauv',\n",
4027 " 'farnonrpepeehiendaua',\n",
4028 " 'farnoeppepeearendsus',\n",
4029 " 'gfrirhrjteearanrernp',\n",
4030 " 'raoieaopneeafnreurep',\n",
4031 " 'paoprhndeeeiartnufos',\n",
4032 " 'paoprredeeeinstnufon',\n",
4033 " 'faoeirnpeeaeihenusro',\n",
4034 " 'raolhaepeenafrrnursp',\n",
4035 " 'gaaahhrjestarannlisp',\n",
4036 " 'rlrahalpittafnrohisp',\n",
4037 " 'gaviehrjnvearaneorep',\n",
4038 " 'raaoorapesneatrnlhuf',\n",
4039 " 'flaoinrpisnorpeolhrt',\n",
4040 " 'ptrlfondwtndhhtohrce',\n",
4041 " 'pthafnhdwemdratolncn',\n",
4042 " 'ftrhnaipwtartoeohsni',\n",
4043 " 'rlaaniapissrefrolntr',\n",
4044 " 'rlralaepitsnfrrohnrp',\n",
4045 " 'rlraraepitsnfrrohnnp',\n",
4046 " 'fthsranpwenpmreoledn',\n",
4047 " 'fthnraepweapmseolidn',\n",
4048 " 'plasinpdisnoretolert',\n",
4049 " 'rlnaniepinfresroaptr',\n",
4050 " 'faauirlpeslopnennird',\n",
4051 " 'raaeuaepesalfrrnnsip',\n",
4052 " 'flnnrrepinrtpseoatwd',\n",
4053 " 'faaeuirpesalopennsir',\n",
4054 " 'ptnocemdwnhesntoaeto',\n",
4055 " 'raannaepesrofrrnnnep',\n",
4056 " 'flanrrapisripmeonnod',\n",
4057 " 'ftamrropwsnnpseonsnd',\n",
4058 " 'plarinpdisnoretonnrt',\n",
4059 " 'plnninpdineoretoasrt',\n",
4060 " 'pleinpndisorertoortf',\n",
4061 " 'ftehnrapwseapmeoolid',\n",
4062 " 'fvaaoeppvteeareoinus',\n",
4063 " 'raaeoaopstnefnrlirup',\n",
4064 " 'fvaeoeppvtneareoirus',\n",
4065 " 'grianhrjtesrranhrnnp',\n",
4066 " 'fhpaarepertmnseliinn',\n",
4067 " 'raotaanpseiefhrluenp',\n",
4068 " 'rronhaepterafrrhunsp',\n",
4069 " 'rrlealnptirfnhrhoppr',\n",
4070 " 'fvaeoeppvereareonpus',\n",
4071 " 'frlprlnptirpnhehoidr',\n",
4072 " 'rvarajapvnetnfroeeio',\n",
4073 " 'raaoahapseetafrlnuis',\n",
4074 " 'frwrohnptopharehades',\n",
4075 " 'rroeanhpthrfrarheppn',\n",
4076 " 'ranelanpsrrifhrltpop',\n",
4077 " 'rroeaanpthrsfrrhepnp',\n",
4078 " 'gaoanhrjsnteranlhirp',\n",
4079 " 'rrlajanptntnfhrhriop',\n",
4080 " 'grlaehrjtntsranhriop',\n",
4081 " 'eaotatknsnothgelhrir',\n",
4082 " 'rrltornptnieahrhreuf',\n",
4083 " 'rhliatnpenefhhrlrrpa',\n",
4084 " 'faoionppsneerrelhrut',\n",
4085 " 'raornaepsnaotnrlhfei',\n",
4086 " 'faoeonppsnrerrelhput',\n",
4087 " 'faoropnpsnperrelhdui',\n",
4088 " 'raoaianpsnfotrrlhphi',\n",
4089 " 'rhaanaspemfrtnrlnpni',\n",
4090 " 'rrljasaptnntnfrhroie',\n",
4091 " 'fhaprhnpemrparelnids',\n",
4092 " 'frlposrptnrenpehriue',\n",
4093 " 'paouinpdsnloretlhirt',\n",
4094 " 'frliatnptnotwhehrhio',\n",
4095 " 'frlwaohptnothaehraie',\n",
4096 " 'rrliahaptnotafrhrhis',\n",
4097 " 'fhawahnpemotarelnais',\n",
4098 " 'raoeooapsnnertrlhrua',\n",
4099 " 'paoiinpdsnooretlhhrt',\n",
4100 " 'frliataptnoswtehrhno',\n",
4101 " 'rrlnauaptnhtlfrhraii',\n",
4102 " 'fhahirnpemaoprelnsrd',\n",
4103 " 'fharaorpemnsapelnnne',\n",
4104 " 'fhasrorpemnpanelnede',\n",
4105 " 'fhatrmrpeswpnnelnods',\n",
4106 " 'paalinpdssioretlnort',\n",
4107 " 'rraoealptshrfnrhnepp',\n",
4108 " 'fhnoeaepenarmselaepn',\n",
4109 " 'paaoremdessnfntennnd',\n",
4110 " 'paslinpdsnioretleort',\n",
4111 " 'fhnirmrpeeopnnelsrds',\n",
4112 " 'frnrailptentoiehsnir',\n",
4113 " 'roajraapntnenfrhioee',\n",
4114 " 'faailrepmtoinseniron',\n",
4115 " 'foaeoeppntnearehirus',\n",
4116 " 'glanohnjntrrrhnritap',\n",
4117 " 'rlanoonpntrrehrritau',\n",
4118 " 'goaeehrjntaaranhisep',\n",
4119 " 'roaeuaapntalferhisip',\n",
4120 " 'roaeeoapntaaefrhiseu',\n",
4121 " 'flanrlepntrtiseritwo',\n",
4122 " 'rlanhoopntraerrritsu',\n",
4123 " 'faaapnrpmtsroneninie',\n",
4124 " 'flaeonppntserreriout',\n",
4125 " 'glhrranjnreathnrpefi',\n",
4126 " 'flrrpnhpnperoaerdeie',\n",
4127 " 'flrwrohpnpothaerdahe',\n",
4128 " 'rlaninnpnfreohrrptre',\n",
4129 " 'forosimpspaoenenderu',\n",
4130 " 'farnrlepmpriisendnoo',\n",
4131 " 'goratahjnetonrnheire',\n",
4132 " 'raoraenpmeatsrrnufio',\n",
4133 " 'rlrejanpnernfhrrepop',\n",
4134 " 'gorhraejneratanhepfi',\n",
4135 " 'glrhranjnerathnrepfi',\n",
4136 " 'rloanenpnefrrhrruptp',\n",
4137 " 'rlrjahapnentafrreois',\n",
4138 " 'paoprhndmeeiartnufos',\n",
4139 " 'rorejaepneanfrrhesop',\n",
4140 " 'flonprnpnerrpherutid',\n",
4141 " 'rloneaepnehafrrruaep',\n",
4142 " 'foapianpnsrotrehlihi',\n",
4143 " 'foapirnpnsroprehlihd',\n",
4144 " 'flrliinpntioeherhorr',\n",
4145 " 'flrohatpnthatwerhesi',\n",
4146 " 'rlrohaepnthafrrrhesp',\n",
4147 " 'rahnhaepmerafrrnlnsp',\n",
4148 " 'rlrhnaepntaofrrrhsep',\n",
4149 " 'rlrsoaepntnhfrrrheep',\n",
4150 " 'raaoraepmsenfrrnnunp',\n",
4151 " 'raonnrapsroretrnaene',\n",
4152 " 'raiuaanpselfmrrnripn',\n",
4153 " 'faieoeppseaearenreus',\n",
4154 " 'faraoeppspeearendnus',\n",
4155 " 'falaninpsitrorenoitr',\n",
4156 " 'fatnrirpswrtopenonhh',\n",
4157 " 'paerhomdstneantnvnle',\n",
4158 " 'gantahrjseierannaenp',\n",
4159 " 'raetlalpsniifnrnreop',\n",
4160 " 'raetlanpsniifrrnreop',\n",
4161 " 'faoirhapsaenemenernl',\n",
4162 " 'raoeaanpshrfmrrneppn',\n",
4163 " 'ranalalpsrfntirntpri',\n",
4164 " 'fanpaoepsrrserentilu',\n",
4165 " 'fanuirlpsrlopnentird',\n",
4166 " 'faatonrpsmierienneun',\n",
4167 " 'pallinpdsnioretnrort',\n",
4168 " 'paltropdsnwthetnrohe',\n",
4169 " 'galnaohjsnrtrrnnrtia',\n",
4170 " 'paaoinedsmhorftnnern',\n",
4171 " 'fnonisrpnssonpeancre',\n",
4172 " 'ranotaapsreiefrnnuen',\n",
4173 " 'famriaopsnnothensnri',\n",
4174 " 'famriropsnnopsensnrd',\n",
4175 " 'pnnsiopdnsoohetacrre',\n",
4176 " 'ratalrnptositnrirnoh',\n",
4177 " 'ealktvanttgovseihjro',\n",
4178 " 'gaoharajtrrnelniapee',\n",
4179 " 'gaorahfjtrenrtniaeep',\n",
4180 " 'raooathptreeuariaunr',\n",
4181 " 'raorrhtptrntanrianhs',\n",
4182 " 'faoatolpteeuaeeiunre',\n",
4183 " 'failnraptoirtleironh',\n",
4184 " 'raonhanpterafrriutsp',\n",
4185 " 'rarojaaptennsfriehol',\n",
4186 " 'raolnanptenrfhriurtp',\n",
4187 " 'failthoptonheneirral',\n",
4188 " 'faionoiptosarneirnis',\n",
4189 " 'faorrasptenilceiunoe',\n",
4190 " 'fatlvnnptwivnseioooa',\n",
4191 " 'gaaavlajtenvcfnineoe',\n",
4192 " 'ralnahnptirfasrionps',\n",
4193 " 'falmireptinonseiosrn',\n",
4194 " 'gaahhlajtearnfninspr',\n",
4195 " 'ranoafrpteeedariaunc',\n",
4196 " 'ranrnnapteehofriaeae',\n",
4197 " 'ranonfcptrrtdhritsnc',\n",
4198 " 'raeooasptarelcrisaue',\n",
4199 " 'raeoeroptarsehrisaoe',\n",
4200 " 'raoenuvptnnohurihrec',\n",
4201 " 'raoeluvptnnihurihroc',\n",
4202 " 'galavlajtnmvcfnirnoe',\n",
4203 " 'raahnanptmaofrrinsep',\n",
4204 " 'ganorctjthrehwniaaeo',\n",
4205 " 'fanroanpthiesreiaoul',\n",
4206 " 'ganhhnajtrarrfninspt',\n",
4207 " 'ranhaoyptrafherinspe',\n",
4208 " 'fahattmptacwuneiseor',\n",
4209 " 'gahehfhjtarrtonisepo',\n",
4210 " 'gahehlajtarrnfnisepr',\n",
4211 " 'fanlnifptnisoteiaocr',\n",
4212 " 'faamriaptsnnoceinsnr',\n",
4213 " 'raalnripftnhtorpirah',\n",
4214 " 'ghanrtajrtheonnpiaer',\n",
4215 " 'raahnylpftaoenrpisen',\n",
4216 " 'raarnyopftnoenrpinen',\n",
4217 " 'gharaaajrtnsmfnpinnn',\n",
4218 " 'raaraoypftnsserpinnn',\n",
4219 " 'ghtanaojromntnnprnai',\n",
4220 " 'ghrosefjraoyttnpfgdt',\n",
4221 " 'ghrraocjraamdhnpflns',\n",
4222 " 'oykrtcsgegaiatfnjfel',\n",
4223 " 'ekhrtulngraiheejpfec',\n",
4224 " 'rarstolpfpyuherpdere',\n",
4225 " 'fryltolppeiuaeednore',\n",
4226 " 'ghaatoojrnfsdrnpepys',\n",
4227 " 'gharooojrnerdrnpeeas',\n",
4228 " 'raaoithpfeeeuarpnurr',\n",
4229 " 'raafontpfesrturpnrsn',\n",
4230 " 'frlanirppisroaedoltr',\n",
4231 " 'friintnppooruhedhrtr',\n",
4232 " 'raeirolpfaeeherpsree',\n",
4233 " 'frawkrrppmogvnednajv',\n",
4234 " 'ghonavhjrnrtuonphtir',\n",
4235 " 'frloiroppnnaeaedrhae',\n",
4236 " 'raankrspfmaghtrpnije',\n",
4237 " 'frosanappsnenmedneea',\n",
4238 " 'rahrinopfaeeoorpsere',\n",
4239 " 'frsyoteppnesugedennr',\n",
4240 " 'raeniaepfsrotarpothi',\n",
4241 " 'granoahjethrsrneiaal',\n",
4242 " 'fiihrhepoeaeeaerrsel',\n",
4243 " 'roeseooperytonrupevg',\n",
4244 " 'roeaathperfeuaruppnr',\n",
4245 " 'grtaooujehsrdhnernas',\n",
4246 " 'roaaeoopeferonrupnpg',\n",
4247 " 'rraaesopefnrmhrepepn',\n",
4248 " 'rraeesspefarmnrepspn',\n",
4249 " 'roaliyfpefneetruprrn',\n",
4250 " 'roaaionpefmeohrupnrg',\n",
4251 " 'fopalrrpersneheuinre',\n",
4252 " 'frainsopeneomaeeeren',\n",
4253 " 'roaaranpeefvterunpvi',\n",
4254 " 'filanvspoieevyeronao',\n",
4255 " 'fileoonpoindoherorsg',\n",
4256 " 'roatsecpenrrteruevht',\n",
4257 " 'roahalrpeeafnprunspr',\n",
4258 " 'foahroopeeaidoeunsos',\n",
4259 " 'roahlaipeeanthrunsri',\n",
4260 " 'roeaasapeatemirusinn',\n",
4261 " 'finaltnportiuhertior',\n",
4262 " 'finalthportiuaertior',\n",
4263 " 'roeaaswpeatemfrusinn',\n",
4264 " 'etravehnuvtuhrervirk',\n",
4265 " 'greavlrjeatutanesirh',\n",
4266 " 'rrejaorpeanfnpresoph',\n",
4267 " 'rresserpeamnfpresntd',\n",
4268 " 'fonsetopermgooeutnhd',\n",
4269 " 'fiotdeopohuotnererot',\n",
4270 " 'fintdkfporuogtertroj',\n",
4271 " 'roeaavtpeaeturrusnir',\n",
4272 " 'rolaaatpenftmrrurpin',\n",
4273 " 'grohtaajenrotnnehpri',\n",
4274 " 'rooataepenfisnruhpel',\n",
4275 " 'fiargfipompjteerndnr',\n",
4276 " 'fiargvapompjvierndno',\n",
4277 " 'rolahsepenfaytrurpsd',\n",
4278 " 'rolasaapenfnterurpei',\n",
4279 " 'rolasrhpenfnterurpeh',\n",
4280 " 'filrsroponpntserrdeh',\n",
4281 " 'filinrnponorpherrhtd',\n",
4282 " 'rolesatpennntarurrei',\n",
4283 " 'ronoaafperrtetrunain',\n",
4284 " 'fonrraeperipmseunodn',\n",
4285 " 'fonrnrhperirpaeunotd',\n",
4286 " 'fonrharperiateeunosi',\n",
4287 " 'ronnstrperhcaprunaei',\n",
4288 " 'rosaorfpenfgtsruepfh',\n",
4289 " 'fonarropeetneaeusine',\n",
4290 " 'finarrhpoetneeersine',\n",
4291 " 'ronantipeetsuirusicr',\n",
4292 " 'gaattirjntotoaneirsr',\n",
4293 " 'raajvaepetnostrniool',\n",
4294 " 'flaplerpitrntveoiirt',\n",
4295 " 'faareoopntvaeaeeiveu',\n",
4296 " 'raaveftpntoutsreiolo',\n",
4297 " 'rlatroopithionroiatg',\n",
4298 " 'faavetopetoluaenioor',\n",
4299 " 'raannalpethofnrniaep',\n",
4300 " 'raannanpetrofhrninep',\n",
4301 " 'faanrofpetrieteninou',\n",
4302 " 'rlahoelpitartnroisat',\n",
4303 " 'faahgtepetajugenisnr',\n",
4304 " 'gaahehfjntarrtneisep',\n",
4305 " 'rlahnanpitarfrroistp',\n",
4306 " 'rlahiyepitahearoisin',\n",
4307 " 'rlahiylpitahenroisin',\n",
4308 " 'rlariyopitnhenroinin',\n",
4309 " 'faahntopetatuaenisnr',\n",
4310 " 'ftahnrspwtattleoisnh',\n",
4311 " 'rlarsetpitnntaroinet',\n",
4312 " 'flaarimpitsnoneoinnr',\n",
4313 " 'gaannhajeterrfnnisnp',\n",
4314 " 'raartsopnfpsmhrepdyn',\n",
4315 " 'farrntopepatuaendlnr',\n",
4316 " 'farnonrpepeehiendaua',\n",
4317 " 'farnroopephieoendaou',\n",
4318 " 'raahinopefaeoornpsre',\n",
4319 " 'raaaotfpefieitrnpeue',\n",
4320 " 'flrnriepipenoneodsnr',\n",
4321 " 'rlannaapifenmtropsan',\n",
4322 " 'faoiesopneeamaeeuren',\n",
4323 " 'flienoopionhdoeorras',\n",
4324 " 'flinhoopioradoeortss',\n",
4325 " 'fliseerpiolstveorlst',\n",
4326 " 'fliteoopiohsoneorasg',\n",
4327 " 'fliteonpiohsoheorasg',\n",
4328 " 'plilhrvdionaeutorrse',\n",
4329 " 'favhhtopevekuaenosgr',\n",
4330 " 'plavdrvdisveeutologe',\n",
4331 " 'flrvtoopitvcdoeohoas',\n",
4332 " 'flrseorpitledaeohlds',\n",
4333 " 'flrseorpitledaeohlds',\n",
4334 " 'plavervdisoeeutolode',\n",
4335 " 'rlaoanipisnfrerolhpt',\n",
4336 " 'flrliefpitnorteohrrp',\n",
4337 " 'pthafnhdwemdratolncn',\n",
4338 " 'planervdishgeutolahe',\n",
4339 " 'ftrhnaipwtartoeohsni',\n",
4340 " 'rlrsalrpitnfnprohepr',\n",
4341 " 'faatctopesieuaennehr',\n",
4342 " 'ftnronfpwnphsteoadec',\n",
4343 " 'flnierhpinoreaeoarpe',\n",
4344 " 'paaeuivdesaloutnnsir',\n",
4345 " 'raalofrpesnsdprnnrnc',\n",
4346 " 'flaadoopismedoeonngs',\n",
4347 " 'flamrrnpisnipreonsod',\n",
4348 " 'ftamrropwsnnpseonsnd',\n",
4349 " 'ftardkapwsnogmeonnoj',\n",
4350 " 'ftnndkopwnsogneoacoj',\n",
4351 " 'rletaropishtiorooait',\n",
4352 " 'flemrropisnipoeoosod',\n",
4353 " 'grianeajtesrgfnhrnnh',\n",
4354 " 'rajtvsvpsnivcurloeoe',\n",
4355 " 'frpjoonptrndohehiosg',\n",
4356 " 'prpraordteissvthfoln',\n",
4357 " 'prinhovdtoraeuthrnsu',\n",
4358 " 'rrlranoptiatarrhofii',\n",
4359 " 'palrnrvdsithtutlowah',\n",
4360 " 'raianhrpsofraprlhpts',\n",
4361 " 'rrorarrpthatvnrhefiv',\n",
4362 " 'fveeaoopvareeaeospnu',\n",
4363 " 'ranhaovpsrateurltsiu',\n",
4364 " 'fhafyoipeeseneelernh',\n",
4365 " 'rrhfaiuptetiehrhlrhr',\n",
4366 " 'rrvdapoptvoceorhooef',\n",
4367 " 'prvgovgdtvheuftholur',\n",
4368 " 'frvgsaeptvhrcaeholhe',\n",
4369 " 'rhahirepesaiptrllsed',\n",
4370 " 'rrlajaoptntnfnrhriop',\n",
4371 " 'faoaponpsntrerelhiiu',\n",
4372 " 'grlthaojtnortnnhrrpi',\n",
4373 " 'rrliaatptneflnrhrrpe',\n",
4374 " 'rhliatnpenefhhrlrrpa',\n",
4375 " 'rrlaaotptnftsrrhrpin',\n",
4376 " 'gaoherfjsnrrptnlhped',\n",
4377 " 'frlrlhlptnpireehrdop',\n",
4378 " 'raoaahepsnfeehrlhpns',\n",
4379 " 'fharwanpemposhelndal',\n",
4380 " 'raoanaipsnfrtorlhpti',\n",
4381 " 'rhaanhrpemfraprlnpns',\n",
4382 " 'faormropespnnneendsn',\n",
4383 " 'rrlahhfptnfaesrhrpsl',\n",
4384 " 'rrlasaoptnfntsrhrpei',\n",
4385 " 'fharshepempnraelndep',\n",
4386 " 'fhaphsrpemdrmnelntpn',\n",
4387 " 'fhaproipemrpneelnidh',\n",
4388 " 'prlrlfadtntidlthrwoc',\n",
4389 " 'frliatfptnotwtehrhio',\n",
4390 " 'frlirdfptnopetehrhdg',\n",
4391 " 'frlitrnptnowphehrhod',\n",
4392 " 'frlwvyaptnovdcehraoo',\n",
4393 " 'rrlnauaptnhtlfrhraii',\n",
4394 " 'rhansaapemrnftrlnnep',\n",
4395 " 'frlhorgptnaephehrsud',\n",
4396 " 'fhahscepemayaaelnsdl',\n",
4397 " 'rhasathpemntaorlneii',\n",
4398 " 'rhnhaarperafmprlnspn',\n",
4399 " 'rraoataptsrtnnrhnair',\n",
4400 " 'fratornptswhprehnoed',\n",
4401 " 'faaneoopssrreaelntpu',\n",
4402 " 'fraoraiptshntoehneni',\n",
4403 " 'fhaanaspesmrerelnnne',\n",
4404 " 'fhaarrhpesmnprelnnnd',\n",
4405 " 'frnplaopterissehsiol',\n",
4406 " 'frnrhfopteiesoehsolr',\n",
4407 " 'frnratrpteisnhehsolr',\n",
4408 " 'raaohaapmtracnrniase',\n",
4409 " 'gaaoradjmtrnsenniann',\n",
4410 " 'goaeorojntareanhisae',\n",
4411 " 'foaeeoopntaaeaehiseu',\n",
4412 " 'foaeuaipntaleoehisin',\n",
4413 " 'raasoalpmtoefnrnirup',\n",
4414 " 'glasntajntoewfnrirto',\n",
4415 " 'raasaeopmtoatornircv',\n",
4416 " 'gohieaajnreanfnhpree',\n",
4417 " 'rlaiuarpnfelearrprin',\n",
4418 " 'gohraocjnramdhnhpfns',\n",
4419 " 'glhraosjnramdtnrpfns',\n",
4420 " 'gohassujnrfyrhnhppeh',\n",
4421 " 'rlarshtpnfpyerrrpdel',\n",
4422 " 'gohytuvjnreohunhpndc',\n",
4423 " 'roakfrfpnfgttsrhpjuh',\n",
4424 " 'flrkrolpnpgeaeerdjee',\n",
4425 " 'gohyahfjnrenetnhpnes',\n",
4426 " 'rlakserpnfgrtvrrpjht',\n",
4427 " 'faronvlpmpotvcendgno',\n",
4428 " 'roaoooipsfosrnrnpgns',\n",
4429 " 'flrraropnpaaeaerdlce',\n",
4430 " 'rlaninrpnfreoarrptre',\n",
4431 " 'rlanrnopnfratdrrptln',\n",
4432 " 'rlansorpnfroeprrptru',\n",
4433 " 'farosiopmphoooenderr',\n",
4434 " 'farlahepmposraendsnp',\n",
4435 " 'flrnriypnphioeerdaoh',\n",
4436 " 'flrhnropnpateaerdsne',\n",
4437 " 'farrshdpmpnneeendnel',\n",
4438 " 'fliihrhpnoeaeeerrrse',\n",
4439 " 'floposfpnerdyteruise',\n",
4440 " 'pafnrofdmdrtettncnwu',\n",
4441 " 'plinurvdnohleutrraie',\n",
4442 " 'rlosnerpneoetprrurtv',\n",
4443 " 'faisafopmooasoenrrcr',\n",
4444 " 'flrohirpnthaoperhesr',\n",
4445 " 'plrohivdnthaoutrhesr',\n",
4446 " 'fahnhtipmeraioenlnse',\n",
4447 " 'fahnhirpmeraopenlnsr',\n",
4448 " 'flrhrorpntaieperhsou',\n",
4449 " 'plrsoivdntnhoutrheer',\n",
4450 " 'fahsnirpmenropenlenr',\n",
4451 " 'fahnsirpmeaoopenlirr',\n",
4452 " 'foniniapsnesolenarcr',\n",
4453 " 'fanpalfpmnrtitenaiio',\n",
4454 " 'paairovdmsoneutnnrnu',\n",
4455 " 'paafroadmsdneetnncnu',\n",
4456 " 'flaitirpnsohopernhar',\n",
4457 " 'raonnrapsroretrnaene',\n",
4458 " 'faesltopsryiuaenpeor',\n",
4459 " 'faraltopspeiuaendnor',\n",
4460 " 'fnponsopnresmseaiucn',\n",
4461 " 'fneisaapnuontmealrei',\n",
4462 " 'fatiatnpswemneenornr',\n",
4463 " 'gaaetctjsntiasnnevel',\n",
4464 " 'faoirirpshenotenernr',\n",
4465 " 'faneoogpsrreafentpue',\n",
4466 " 'ranalrapsrfnpcrntprd',\n",
4467 " 'faoooynpshadereneesn',\n",
4468 " 'pallrhpdsnitirtnrohi',\n",
4469 " 'faodoynpssederenngsn',\n",
4470 " 'rnaovirpnmsviprannoe',\n",
4471 " 'faorrrapssnipmennnod',\n",
4472 " 'faorrrmpssnipnennnod',\n",
4473 " 'ranaaajpsrfetnrnnpni',\n",
4474 " 'panfgrddsrdjtetnncnh',\n",
4475 " 'famriaopsnnothensnri',\n",
4476 " 'fnnilrfpnsoipteacrod',\n",
4477 " 'fnstokmpnocdgnearasj',\n",
4478 " 'gaohsaojtrrlerniapln',\n",
4479 " 'raonnafptrsnctriacae',\n",
4480 " 'raonhvopterauoriutsr',\n",
4481 " 'garortajtenpufniehrr',\n",
4482 " 'raolnanptenrfhriurtp',\n",
4483 " 'raauafrptelntvrinieo',\n",
4484 " 'gaaeelsjtntttmnievth',\n",
4485 " 'falaverptinveeeioeod',\n",
4486 " 'ralnahnptirfasrionps',\n",
4487 " 'gaanrrfjtnhepdnieaer',\n",
4488 " 'raanohfptereadrinnus',\n",
4489 " 'faeiltoptnoiureirror',\n",
4490 " 'raeonftptartdsrissnc',\n",
4491 " 'gaeororjtareaanisaee',\n",
4492 " 'ranhusfptrahndritsct',\n",
4493 " 'ranhusfptrahndritsct',\n",
4494 " 'ranhusiptrahnhritsct',\n",
4495 " 'raaaskaptmfngnrinpej',\n",
4496 " 'raaieflptmostnrinhoo',\n",
4497 " 'ranhaoyptrafherinspe',\n",
4498 " 'fahattmptacwuneiseor',\n",
4499 " 'faratsnptncwmseineon',\n",
4500 " 'ranaotfptsfgntricpfr',\n",
4501 " 'faroparptnerseeinuin',\n",
4502 " 'rahiknoptahgrorisijt',\n",
4503 " 'rahionoptahorerisigt',\n",
4504 " 'raalreyptsinterinonv',\n",
4505 " 'raaaotfpftmgntrpinfr',\n",
4506 " 'ghaheotjrtaroanpiseg',\n",
4507 " 'ghrosefjraoyttnpfgdt',\n",
4508 " 'ghrysorjraeyrnnpfnds',\n",
4509 " 'fryltolppeiuaeednore',\n",
4510 " 'friintnppooruhedhrtr',\n",
4511 " 'frnaplkpprsrngedtnir',\n",
4512 " 'ghorreajrnaeatnphfes',\n",
4513 " 'raliyrdpfnoevorprhnv',\n",
4514 " 'ghlnavtjrnrturnprtir',\n",
4515 " 'frloknippnngsoedrhjc',\n",
4516 " 'frarilrppmnoiaednnro',\n",
4517 " 'frahiltppmaoiuednsro',\n",
4518 " 'frarilsppmnoimednnro',\n",
4519 " 'frarilsppmnoimednnro',\n",
4520 " 'frsninsppnsoamedtcri',\n",
4521 " 'ranhrhrpfratehrpnshl',\n",
4522 " 'frhonrrppaerieedsuno',\n",
4523 " 'frhrkaippangmoedsnjn',\n",
4524 " 'grtvealjeovattnerosi',\n",
4525 " 'rrejahtpernfaurepops',\n",
4526 " 'poprhredeeiaeatufose',\n",
4527 " 'pipaaoedoesmeatrfnnu',\n",
4528 " 'rraoltrpeneeapreeusi',\n",
4529 " 'foaigsrpeeofyaeunrtd',\n",
4530 " 'pftterrddwulevtcoroe',\n",
4531 " 'foafrripeesanoeunrln',\n",
4532 " 'foahroopeeaidoeunsos',\n",
4533 " 'roeaasapeatemirusinn',\n",
4534 " 'finaltnportiuhertior',\n",
4535 " 'greavlsjeatutmnesirh',\n",
4536 " 'roeotcspeadsemrussyt',\n",
4537 " 'fonsetopermgooeutnhd',\n",
4538 " 'rrevkdopeaugtrresrjo',\n",
4539 " 'grohtsojenroyonehprd',\n",
4540 " 'frlrrolpenppeeeerdru',\n",
4541 " 'filrthsponphenerrdal',\n",
4542 " 'roaasarpemfntnrunpei',\n",
4543 " 'filinrnponorpherrhtd',\n",
4544 " 'fonrharperiateeunosi',\n",
4545 " 'fomrstopeninuseusoer',\n",
4546 " 'pirnfoldonsdhetrncce',\n",
4547 " 'ronaenopeefrrorusppt',\n",
4548 " 'raajafapetnftnrniopr',\n",
4549 " 'raajaafpetnfstrniopl',\n",
4550 " 'raanntapetroosrniner',\n",
4551 " 'rlahtrupitaothroisrh',\n",
4552 " 'faahgtepetajugenisnr',\n",
4553 " 'rlahnanpitarfrroistp',\n",
4554 " 'gaahgovjetahounnislg',\n",
4555 " 'gaahgotjetahoannislg',\n",
4556 " 'rlaraeypitnsteroinnv',\n",
4557 " 'flaarimpitsnoneoinnr',\n",
4558 " 'ftashaopwtnemgeoieln',\n",
4559 " 'raaejaspnfrnemreppon',\n",
4560 " 'raaretrpefphuarnpdkr',\n",
4561 " 'farnrorpeprieaendnou',\n",
4562 " 'farnrltpephiiuendaoo',\n",
4563 " 'flrnirrpipeoneeodsrn',\n",
4564 " 'flienorpionrdaeorrns',\n",
4565 " 'farrinipneveooeeevre',\n",
4566 " 'flinhoopioradoeortss',\n",
4567 " 'plapprrdiserevtolfie',\n",
4568 " 'flahagrpisatheeolsil',\n",
4569 " 'flrhifapitaosneohsrr',\n",
4570 " 'flrsrlipitnpnoeohedr',\n",
4571 " 'gaaorocjesrnoannnans',\n",
4572 " 'flarpropispdeoeonrte',\n",
4573 " 'rlariyspisnheyronnin',\n",
4574 " 'rleerucpistpheroovdc',\n",
4575 " 'flenrrypisaipeeooiod',\n",
4576 " 'fapjrrrpsrnehaelioee',\n",
4577 " 'frlrahoptitnenehowes',\n",
4578 " 'raaloofpseidrtrlnosa',\n",
4579 " 'fhtfhcopewteeoelorsi',\n",
4580 " 'frlfhnhptitearehorsi',\n",
4581 " 'palfacfdsiteedtlorei',\n",
4582 " 'frhfodsptesoemehlrgg',\n",
4583 " 'prhttaedtewuisthlorh',\n",
4584 " 'rrhfaiuptetiehrhlrhr',\n",
4585 " 'rrvitaaptvhicnrhoiee',\n",
4586 " 'prviroadtvhienthoiou',\n",
4587 " 'frvgnhaptvhoeneholes',\n",
4588 " 'fhvnecrpevssanelocsl',\n",
4589 " 'phvnstidevslaotlocli',\n",
4590 " 'paahnuadesarrmtelsii',\n",
4591 " 'gaohaatjsnrtmvnlhpin',\n",
4592 " 'grlhtrojtnroprnhrprd',\n",
4593 " 'grlhtutjtnrirrnhrpei',\n",
4594 " 'rrlailvptnfeivrhrpro',\n",
4595 " 'faorphrpsnpreeelhdil',\n",
4596 " 'faoropnpsnperrelhdui',\n",
4597 " 'faormropespnnneendsn',\n",
4598 " 'rhaansrpemfrnprlnpne',\n",
4599 " 'fharnsapemprneelndne',\n",
4600 " 'rhaahanpemfatrrlnpsi',\n",
4601 " 'fharhhapemparnelndsp',\n",
4602 " 'frlrsaiptnpneoehrdee',\n",
4603 " 'rhaashlpemfnenrlnpes',\n",
4604 " 'rrlfksdptnpgmorhrejn',\n",
4605 " 'frlprosptnrpsmehridn',\n",
4606 " 'prlpisodtneonethrfre',\n",
4607 " 'frlpvdnptnrvotehrioo',\n",
4608 " 'rrliahiptnotahrhrhis',\n",
4609 " 'frlwvyaptnovdcehraoo',\n",
4610 " 'rhansaapemrnftrlnnep',\n",
4611 " 'pharesidemnfnotlnnde',\n",
4612 " 'rrlhofoptnaepdrhrsue',\n",
4613 " 'fhahiptpemaoduelnsrt',\n",
4614 " 'grlsattjtnntahnhreii',\n",
4615 " 'grlsattjtnntahnhreii',\n",
4616 " 'frneofoptrgetdehnhur',\n",
4617 " 'fhnhraiperapmoelnsdn',\n",
4618 " 'pratiahdtswosithnohl',\n",
4619 " 'fratornptswhprehnoed',\n",
4620 " 'rraoealptshrfnrhnepp',\n",
4621 " 'rhaaniupesmrerrlnnnr',\n",
4622 " 'fhaanaspesmrerelnnne',\n",
4623 " 'roajanfpntnsrtrhiolt',\n",
4624 " 'goanlfojntentanhirro',\n",
4625 " 'glanohnjntrrrhnritap',\n",
4626 " 'rlanoonpntrrehrritau',\n",
4627 " 'flaorevpnthtnveriewe',\n",
4628 " 'faaoranpmthtlneniewe',\n",
4629 " 'rlanuvrpntrluarritir',\n",
4630 " 'rlahaaopntafmhrrispn',\n",
4631 " 'gohrystjnraeyunhpfnd',\n",
4632 " 'glhryssjnraeymnrpfnd',\n",
4633 " 'elkatoenngfirgerjpes',\n",
4634 " 'gohyfuvjnreshunhpnrc',\n",
4635 " 'faronnapmpohteendgan',\n",
4636 " 'forynhepsperatendnns',\n",
4637 " 'flrrpnhpnperoaerdeie',\n",
4638 " 'roaeinepnfaeonrhpsre',\n",
4639 " 'rlannyrpnfhoehrrpaen',\n",
4640 " 'fornohfpspsgltendcfc',\n",
4641 " 'glroanejnerthgnreaia',\n",
4642 " 'gothrsrjnurayenhrpfd',\n",
4643 " 'ploprhrdneeiaetrufos',\n",
4644 " 'faopohspmerdomenuiso',\n",
4645 " 'failftrpmoisuaenrorr',\n",
4646 " 'faieerlpmolsanenrosl',\n",
4647 " 'fainuorpmorldaenrnis',\n",
4648 " 'foisrropsooaeoenrrte',\n",
4649 " 'plisaafdnooaedtrrrcn',\n",
4650 " 'fahinyopmeordrenlrno',\n",
4651 " 'fahnhirpmeraopenlnsr',\n",
4652 " 'foairoypssondeennrns',\n",
4653 " 'roamrsfpssnnytrnnsnd',\n",
4654 " 'faerylipsaheioenseno',\n",
4655 " 'faaihnypsmoendennrla',\n",
4656 " 'faaoiropsmhonoennern',\n",
4657 " 'raarnaspsmnofyrnnnep',\n",
4658 " 'ranaaajpsrfetnrnnpni',\n",
4659 " 'pnnftsndnsdwmttaccon',\n",
4660 " 'pnnhtsndnslamttaccin',\n",
4661 " 'fnstorypnoceheearaue',\n",
4662 " 'gaorasgjtrenmhniaeen',\n",
4663 " 'raonhvopterauoriutsr',\n",
4664 " 'garnuecjtehhtanieacv',\n",
4665 " 'faeiltoptnoiureirror',\n",
4666 " 'gaeororjtareaanisaee',\n",
4667 " 'ranhusfptrahndritsct',\n",
4668 " 'faloceeptnsaaseirnle',\n",
4669 " 'raheltaptatiuiristor',\n",
4670 " 'rahelfrptatidnristoc',\n",
4671 " 'raaalonpftmiohrpinog',\n",
4672 " 'raahnylpftaoenrpisen',\n",
4673 " 'raahnoapftaoomrpiseg',\n",
4674 " 'raaoisrpfeeemnrpnurn',\n",
4675 " 'friintrppooruvedhrtr',\n",
4676 " 'frahiltppmaoiuednsro',\n",
4677 " 'frahiltppmaoiuednsro',\n",
4678 " 'frarilsppmnoimednnro',\n",
4679 " 'frsninsppnsoamedtcri',\n",
4680 " 'frhonrrppaerieedsuno',\n",
4681 " 'fiirohrpoeneaeerrnus',\n",
4682 " 'roaliyrpefneevruprrn',\n",
4683 " 'foadyhepeloeraeueonp',\n",
4684 " 'foeaasepeatemgeusinn',\n",
4685 " 'foeaastpeatemceusinn',\n",
4686 " 'rreavespeatuhmresirk',\n",
4687 " 'fonprlsperrpnmeutidr',\n",
4688 " 'filrtovponphsverrdan',\n",
4689 " 'gaantcrjetevasnniaul',\n",
4690 " 'rlanvrapitruanroitrl',\n",
4691 " 'raarvylpntvueireivrn',\n",
4692 " 'raanntapetroosrniner',\n",
4693 " 'gaahoaujetagernnisfe',\n",
4694 " 'rlahiylpitahenroisin',\n",
4695 " 'ftashnapwtnenmeoiela',\n",
4696 " 'rlaneynpitatehroiivn',\n",
4697 " 'raaejyfpnfrnetreppon',\n",
4698 " 'farnrlspepriimendnoo',\n",
4699 " 'flientrpionhuheorrar',\n",
4700 " 'flaahcnpistaaseolisl',\n",
4701 " 'gaavttajesvaiennloie',\n",
4702 " 'flareoepispndaeonres',\n",
4703 " 'fapjrrrpsrnehaelioee',\n",
4704 " 'rrlailvptnfeivrhrpro',\n",
4705 " 'rrlaponptnfdrtrhrpts',\n",
4706 " 'faorgropsnpjeaelhdne',\n",
4707 " 'fharroapemppnselndrh',\n",
4708 " 'rhaansrpemfrnprlnpne',\n",
4709 " 'rhaahanpemfatrrlnpsi',\n",
4710 " 'fhaphthpemdruaelntpr',\n",
4711 " 'prlhrofdtnaisdthrson',\n",
4712 " 'phahfnedemadrgtlnscn',\n",
4713 " 'paorafndesnsdstennnc',\n",
4714 " 'ransreopshnetdrlatev',\n",
4715 " 'frneofoptrgetdehnhur',\n",
4716 " 'fhnaorepenmapselaned',\n",
4717 " 'rhaaniupesmrerrlnnnr',\n",
4718 " 'rhnraudpeenmrorlsnni',\n",
4719 " 'rlanoonpntrrehrritau',\n",
4720 " 'rlanoonpntrrehrritau',\n",
4721 " 'foanpospntrrelehitiu',\n",
4722 " 'rlanuvrpntrluarritir',\n",
4723 " 'roakfrfpnfgttsrhpjuh',\n",
4724 " 'gohyfuvjnreshunhpnrc',\n",
4725 " 'gohyahfjnrenetnhpnes',\n",
4726 " 'gohyahfjnrenetnhpnes',\n",
4727 " 'forynhepsperatendnns',\n",
4728 " 'farrlnopmpacooendlee',\n",
4729 " 'farlahepmposraendsnp',\n",
4730 " 'glroanejnerthgnreaia',\n",
4731 " 'rooaeeapnefarerhupsp',\n",
4732 " 'gotnfecjnuedranhrrcp',\n",
4733 " 'flinurrpnohleherraie',\n",
4734 " 'fairoffpmonestenrnur',\n",
4735 " 'flohdydpneaoeeeruson',\n",
4736 " 'ponfnradsndspstnaccr',\n",
4737 " 'roamrsfpssnnytrnnsnd',\n",
4738 " 'roamrsfpssnnytrnnsnd',\n",
4739 " 'faeryltpsaheiwenseno',\n",
4740 " 'fartdrypsnneedennrge',\n",
4741 " 'fartdonpsnnedsennrgs',\n",
4742 " 'fnstorypnoceheearaue',\n",
4743 " 'raalfhspteidcmrinoch',\n",
4744 " 'gaanrfijtnheponieaee',\n",
4745 " 'fanhusiptrahnoeitsct',\n",
4746 " 'frahiltppmaoiuednsro',\n",
4747 " 'rahrnnopfaerodrpsene',\n",
4748 " 'roaliyrpefneevruprrn',\n",
4749 " 'foailsopeeoeyoeunrsd',\n",
4750 " 'roeavtspeatusmrusiry',\n",
4751 " 'grohosujenrryhnehpad',\n",
4752 " 'frlrrolpenppeeeerdru',\n",
4753 " 'rooasahpenflmeruhpln',\n",
4754 " 'gaanhfejnterttneirpr',\n",
4755 " 'raajafapetnftnrniopr',\n",
4756 " 'raarvylpntvueireivrn',\n",
4757 " 'gartptfjnerdwtneevto',\n",
4758 " 'flientrpionhuheorrar',\n",
4759 " 'flareoepispndaeonres',\n",
4760 " 'fharohepempnlaelndhc',\n",
4761 " 'paneoafdshgeedtlahun',\n",
4762 " 'rlanoonpntrrehrritau',\n",
4763 " 'raarcvapmfpevsrnpdho',\n",
4764 " 'rlarnerpnfarrprrplie',\n",
4765 " 'flinurrpnohleherraie',\n",
4766 " 'fahoroopmeannoenlenh',\n",
4767 " 'raallrmpftnianrpirol',\n",
4768 " 'rlanvrapitruanroitrl',\n",
4769 " 'faonpfcpeeedtaenuatr',\n",
4770 " 'raallrmpftnianrpirol']"
4777 "cell_type": "code",
4780 "[w for w in hinted_keywords if cadenus_decipher(first_chunk, w, keycolumn).startswith('phaseseven')]"
4782 "language": "python",
4787 "output_type": "pyout",
4788 "prompt_number": 40,
4797 "cell_type": "code",
4800 "def cadenus_break_worker(message, keyword, keycolumn, fitness):\n",
4801 " message_chunks = chunks(message, 175)\n",
4802 " plaintext = ''.join(cadenus_decipher(c, keyword, keycolumn) for c in message_chunks)\n",
4803 " fit = fitness(plaintext)\n",
4804 " return (keyword, keycolumn), fit"
4806 "language": "python",
4812 "cell_type": "code",
4815 "def cadenus_break(message, words=keywords, fitness=Pbigrams):\n",
4816 " c = make_cadenus_keycolumn(reverse=True)\n",
4817 " results = starmap(cadenus_break_worker, [(message, \n",
4819 " make_cadenus_keycolumn(doubled_letters='vw', start=s, reverse=r), \n",
4821 " for w in words for s in string.ascii_lowercase for r in [True, False]])\n",
4822 " # return list(results)\n",
4823 " return max(results, key=lambda k: k[1])"
4825 "language": "python",
4831 "cell_type": "code",
4834 "key8b, fitness = cadenus_break(c8bl, words=hinted_keywords, fitness=Ptrigrams)\n",
4837 "language": "python",
4842 "output_type": "pyout",
4843 "prompt_number": 43,
4872 " -5286.197562931952)"
4879 "cell_type": "code",
4882 "cadenus_decipher(first_chunk, key8b[0], key8b[1])"
4884 "language": "python",
4889 "output_type": "pyout",
4890 "prompt_number": 44,
4892 "'wledgctftrojhrtheonovoresoovrpanegoarerufofinaltnportiuhertiorafthehasdwarenncompleeeandoastestssoveconlrudedtlsreisnntignfrrrthesinaaltranlicthaaehesecisityseemiceshuneanykhf'"
4899 "cell_type": "code",
4902 "[(w, s, d1+d2, r)\n",
4903 " for w in hinted_keywords \n",
4904 " for d1 in string.ascii_lowercase[:25]\n",
4905 " for d2 in string.ascii_lowercase\n",
4906 " for s in string.ascii_lowercase \n",
4907 " for r in [True, False]\n",
4909 " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)).startswith('phaseseven')]"
4911 "language": "python",
4916 "output_type": "pyout",
4917 "prompt_number": 45,
4926 "cell_type": "code",
4929 "[(w, s, d1+d2, r, cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)))\n",
4930 " for w in hinted_keywords \n",
4931 " for d1 in string.ascii_lowercase[:25]\n",
4932 " for d2 in string.ascii_lowercase\n",
4933 " for s in string.ascii_lowercase \n",
4934 " for r in [True, False]\n",
4936 " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)).startswith('phase')]"
4938 "language": "python",
4943 "output_type": "pyout",
4944 "prompt_number": 53,
4950 " 'phasennrkmffnhignsdaaojsrcisrncheentoeetueweisvhsounsucoaleyrhreitdioseotototdhsoagreeysifaglenhtlhonriuelseairscnrteameteiwnntneefefcrartataieposrlandrlvtartalvhctofnorehdpro'),\n",
4955 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
4960 " 'phaseoeeeesnnufleyehhdoddraccseoeshengoenotthsaeovnlnesgurcrnofriearrtiatttsutacihtracaearaielrmanhhtpnleikhdseaigrtcssejpoemlwnrdinlfoisnfnteofetrourstrnrltrtvnaiwhsvafooeyoi'),\n",
4965 " 'phaseoeeeeynnufledehhdodoraccseoeshengsenotthnaeovnlresgurcanofrietrrtiatitsutacehtracararaielpmanhhtdnleikhtseaigrocssejpdemlwnrsinlfoifnfnteosetrourrtrnrlthtvnaiwesvafoosyoi'),\n",
4970 " 'phaseoeeeennnuflerehhdodaraccseteshengienottheaeovnlresgurcpnofriedrrtiatttsutacohtracadaraielsmanhhtfnleikhsseaigrrcssejphemlwnreinlfoisnfnteosetrourytrnrltdtvnaiwosvafoooyoi'),\n",
4975 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
4980 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
4985 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
4990 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
4995 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5000 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5005 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5010 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5015 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5020 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5025 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5030 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5035 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5040 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5045 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5050 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5055 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5060 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5065 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5070 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5075 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5080 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5085 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5090 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5095 " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n",
5100 " 'phasentekmysrhfgndmnrdjsonnpcncofareoestiiteinreovunrvuruleavhtrittocwiotiohothsenoaaeyrhoeilepagehondsfdisetnteinroeugetedsrhwnesoalfrafrnctiesseeoanrtatrarhrscactealafehslll')]"
5107 "cell_type": "code",
5110 "[(w, s, d1+chr(ord(d1)+1), r)\n",
5111 " for w in hinted_keywords \n",
5112 " for d1 in string.ascii_lowercase[:25]\n",
5113 " # for d2 in string.ascii_lowercase\n",
5114 " for s in string.ascii_lowercase \n",
5115 " for r in [True, False]\n",
5117 " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+chr(ord(d1)+1), start=s, reverse=r)).startswith('phases')]"
5119 "language": "python",
5124 "output_type": "pyout",
5125 "prompt_number": 46,
5134 "cell_type": "code",
5137 "cadenus_decipher(first_chunk, 'filbert', make_cadenus_keycolumn(doubled_letters='lu', start='m', reverse=False))"
5139 "language": "python",
5144 "output_type": "pyout",
5145 "prompt_number": 52,
5147 "'phasennrkmffnhignsdaaojsrcisrncheentoeetueweisvhsounsucoaleyrhreitdioseotototdhsoagreeysifaglenhtlhonriuelseairscnrteameteiwnntneefefcrartataieposrlandrlvtartalvhctofnorehdpro'"
5154 "cell_type": "code",
5157 "chunks(first_chunk, 175)"
5159 "language": "python",
5164 "output_type": "pyout",
5165 "prompt_number": 48,
5167 "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanes']"
5174 "cell_type": "code",
5177 "language": "python",