{
"cell_type": "code",
"execution_count": 1,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"import os,sys,inspect\n",
"import string\n",
"%matplotlib inline\n",
"\n",
- "from cipherbreak import *\n",
+ "from cipher.vigenere import *\n",
+ "from cipher.cadenus import *\n",
+ "from support.utilities import *\n",
+ "from support.text_prettify import *\n",
+ "from support.language_models import *\n",
+ "from support.plot_frequency_histogram import *\n",
"\n",
"c8a = open('8a.ciphertext').read()\n",
"c8b = open('8b.ciphertext').read().strip()"
{
"cell_type": "code",
"execution_count": 2,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f42359ab6a0>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f383433e908>"
]
},
"execution_count": 2,
},
{
"data": {
- "image/png": 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yN7hfkfRR4Crgv1QqGBEfBz4u6c8i4j112i33GeBhSfenvr0T+KykU8jORJ6X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\nzAocGMzMrOD/A5ZV4vqjDJn1AAAAAElFTkSuQmCC\n",
+ "image/png": "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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7f4235991f60>"
+ "<matplotlib.figure.Figure at 0x7f383433e048>"
]
},
"metadata": {},
{
"cell_type": "code",
"execution_count": 3,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f420b429860>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f37f28e9f98>"
]
},
"execution_count": 3,
},
{
"data": {
- "image/png": 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+ "image/png": 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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7f420b4599b0>"
+ "<matplotlib.figure.Figure at 0x7f37f463ecc0>"
]
},
"metadata": {},
{
"cell_type": "code",
"execution_count": 4,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 5,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 6,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "'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'"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "mark i cracked what appears to be the final document about the trojan deployment and i think i have\n",
+ "an idea about how to deal with it and with the flag day associates the principal weakness of any\n",
+ "system like the one they have installed is the need to provide large quantities of power the fda\n",
+ "came up with an ingenious solution but it is very vulnerable special forces could take it out for us\n",
+ "but that would tell the fda that we have cracked their ciphers so instead i suggest we let them\n",
+ "destroy trojan for us we will need cooperation from the omani government an armed fighter jet and\n",
+ "the flight control systems from a drone meanwhile we need to ensure two things one that we do not\n",
+ "send critical information across the ba balm and abstrait and two that we use an on critical key\n",
+ "generation protocol on that channel given the level of commitment the fda have shown in developing\n",
+ "this plan i am sure that they will reinstate the powersupply within a few months but with luck they\n",
+ "will not guess that we know about it and we will put it out of business for long enough to come up\n",
+ "with a plan of our own to exploit it in the meantime we now know that their highest security\n",
+ "communications are encrypted using a caden us cipher so we can start hunting through the database\n",
+ "for other intercepts we can crack this maybe the breakthrough we have been looking for in the fight\n",
+ "against the fda lets not screw it up all the best harry\n"
+ ]
}
],
"source": [
- "' '.join(segment(vigenere_decipher(c8as, key_a)))"
+ "print(prettify(vigenere_decipher(c8as, key_a)))"
]
},
{
"cell_type": "code",
"execution_count": 7,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 8,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 9,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 11,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
{
"cell_type": "code",
"execution_count": 12,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'y'"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "max([unpos(int(c, 2)) for c in chunks(c8b, 5)])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
"outputs": [],
"source": [
"def cadenus_letter(n, doubled='v'):\n",
},
{
"cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def cadenus_letter(n, doubled='v'):\n",
+ " letter = unpos(n)\n",
+ " if letter > doubled:\n",
+ " letter = unpos(n + 1)\n",
+ " return letter"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "('afcaeuottacthrioletcserthshtrahkzorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstxientrvoonerhuahravereetsvsielhlostdoalozaesmnndignnrhohhtsnaoilncnssicreanneeiiierxtanesrvogieizxssdgpvoiaisaoaeoaedrnitrnyeigrpsshadhdtoipaateyennesagrobtlesrnroirzpbgedcllixalaleenigrrnxzrlimlpstoleftrdmuarieeeiiaolnexsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtexfarnhebleaotohtttepnckaonhxetmvzprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfysoaotctbbsoeirnsadlztrrunrceptthreuhnktaceceelrxnireeeaeseeeidisogceomnrtejhagabsenitlxtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnzpaidziegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefzhlonxhaeeeeosneezaneisetogziterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseizclsiantaoltcizmidentthltndytttmasbleaeetlisirtxturpfailteaoefeisiiizisikvtxisprbsinelphrmohiagnlslvitodaisdpnzddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoznalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghznxeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeemrpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlonahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda',\n",
+ " -1814.2525644323327)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "c8bl = ''.join([cadenus_letter(int(c, 2)) for c in chunks(c8b, 5)])\n",
+ "c8bl, Pletters(c8bl)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdtoipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlimlpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxsoaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaeseeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypaidyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogyiterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsiantaoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefeisiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghynweintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeemrpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylonahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda'"
+ "('afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdtoipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlimlpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxsoaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaeseeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypaidyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogyiterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsiantaoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefeisiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghynweintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeemrpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylonahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda',\n",
+ " -1760.1126100904926)"
]
},
- "execution_count": 13,
+ "execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"c8bl = ''.join([cadenus_letter(int(c, 2), doubled='z') for c in chunks(c8b, 5)])\n",
- "c8bl"
+ "c8bl, Pletters(c8bl)"
]
},
{
"cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'y'"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "max((cl for cl in string.ascii_lowercase),\n",
+ " key=lambda l: Pletters(cadenus_letter(int(c, 2), doubled=l) for c in chunks(c8b, 5)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "('afcaeuottacthrioletcserthshtrahkzorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstxientrvoonerhuahravereetsvsielhlostdoalozaesmnndignnrhohhtsnaoilncnssicreanneeiiierxtanesrvogieizxssdgpvoiaisaoaeoaedrnitrnyeigrpsshadhdtoipaateyennesagrobtlesrnroirzpbgedcllixalaleenigrrnxzrlimlpstoleftrdmuarieeeiiaolnexsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtexfarnhebleaotohtttepnckaonhxetmvzprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfysoaotctbbsoeirnsadlztrrunrceptthreuhnktaceceelrxnireeeaeseeeidisogceomnrtejhagabsenitlxtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnzpaidziegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefzhlonxhaeeeeosneezaneisetogziterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseizclsiantaoltcizmidentthltndytttmasbleaeetlisirtxturpfailteaoefeisiiizisikvtxisprbsinelphrmohiagnlslvitodaisdpnzddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoznalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghznxeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeemrpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlonahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda',\n",
+ " -1814.2525644323327)"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "c8bl = ''.join([cadenus_letter(int(c, 2), doubled='v') for c in chunks(c8b, 5)])\n",
+ "c8bl, Pletters(c8bl)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "('a', 'y')"
+ "('a', 'z')"
]
},
- "execution_count": 14,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 20,
+ "metadata": {},
"outputs": [
{
"data": {
"(1400, 56.0)"
]
},
- "execution_count": 15,
+ "execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 21,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f420b349a20>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f37f275c390>"
]
},
- "execution_count": 16,
+ "execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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+ "image/png": "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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7f420b349048>"
+ "<matplotlib.figure.Figure at 0x7f37f2757470>"
]
},
"metadata": {},
},
{
"cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 22,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f420b2a5d68>"
+ "<matplotlib.axes._subplots.AxesSubplot at 0x7f37f26b4c50>"
]
},
- "execution_count": 17,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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yN7hfkfRR4Crgv1QqGBEfBz4u6c8i4j112i33GeBhSfenvr0T+KykU8jORJ6X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\nzAocGMzMrOD/A5ZV4vqjDJn1AAAAAElFTkSuQmCC\n",
+ "image/png": "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\n",
"text/plain": [
- "<matplotlib.figure.Figure at 0x7f420b33ecc0>"
+ "<matplotlib.figure.Figure at 0x7f37f27526a0>"
]
},
"metadata": {},
},
{
"cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 23,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefe',\n",
- " 'ofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsv',\n",
- " 'sielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiie',\n",
- " 'rwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdto',\n",
- " 'ipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlim',\n",
- " 'lpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaee',\n",
- " 'isciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonn',\n",
- " 'asgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxs',\n",
- " 'oaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaes',\n",
- " 'eeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebios',\n",
- " 'dienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypai',\n",
- " 'dyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlev',\n",
- " 'asadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogy',\n",
- " 'iterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsian',\n",
- " 'taoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefe',\n",
- " 'isiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaota',\n",
+ "['afcaeuottacthrioletcserthshtrahkzorpfrgeoadppjnglternefe',\n",
+ " 'ofiortsddoeeumscruernfetlaafstxientrvoonerhuahravereetsv',\n",
+ " 'sielhlostdoalozaesmnndignnrhohhtsnaoilncnssicreanneeiiie',\n",
+ " 'rxtanesrvogieizxssdgpvoiaisaoaeoaedrnitrnyeigrpsshadhdto',\n",
+ " 'ipaateyennesagrobtlesrnroirzpbgedcllixalaleenigrrnxzrlim',\n",
+ " 'lpstoleftrdmuarieeeiiaolnexsaohrtlstobetnslvfivdovtpoaee',\n",
+ " 'isciohipseveedtexfarnhebleaotohtttepnckaonhxetmvzprreonn',\n",
+ " 'asgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfys',\n",
+ " 'oaotctbbsoeirnsadlztrrunrceptthreuhnktaceceelrxnireeeaes',\n",
+ " 'eeeidisogceomnrtejhagabsenitlxtrnbmielsaretesrngsnhebios',\n",
+ " 'dienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnzpai',\n",
+ " 'dziegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlev',\n",
+ " 'asadnnthneiteiisahuhhuamonefzhlonxhaeeeeosneezaneisetogz',\n",
+ " 'iterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseizclsian',\n",
+ " 'taoltcizmidentthltndytttmasbleaeetlisirtxturpfailteaoefe',\n",
+ " 'isiiizisikvtxisprbsinelphrmohiagnlslvitodaisdpnzddcaaota',\n",
" 'hcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmu',\n",
" 'ppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienni',\n",
- " 'klysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n",
- " 'ynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghyn',\n",
- " 'weintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaa',\n",
- " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeem',\n",
- " 'rpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylon',\n",
- " 'ahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatef',\n",
- " 'aaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda']"
+ " 'klzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n",
+ " 'znalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghzn',\n",
+ " 'xeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaa',\n",
+ " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeem',\n",
+ " 'rpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlon',\n",
+ " 'ahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatef',\n",
+ " 'aaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda']"
]
},
- "execution_count": 18,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 24,
+ "metadata": {},
"outputs": [
{
"data": {
" 'aaep.....shee..pa.e..e......e..h.es......s.s........p..a']"
]
},
- "execution_count": 19,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 25,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['aosriliaoeddaitihpkywnraa',\n",
- " 'ffiwppssaeiystascplneopha',\n",
- " 'cietascgoeeiaeoiedyaieaae',\n",
+ "['aosriliaoeddaitihpkzxnraa',\n",
+ " 'ffixppssaeizstascplneopha',\n",
+ " 'cietascgoeeiaeoiedzaieaae',\n",
" 'aolaatidtinedrlihislneoup',\n",
" 'erhntooecdagnltittostlltr',\n",
- " 'utleelhdtifdnicyuegnedinr',\n",
- " 'ososxeiobslnthiieasvgottc',\n",
- " 'tdsrefpeboemhtysintsoiocr',\n",
+ " 'utleelhdtifdniczuegnedinr',\n",
+ " 'ososyeiobslnthiieasvgottc',\n",
+ " 'tdsrefpeboemhtzsintsoiocr',\n",
" 'tdtvntsesgiencmirdcddnano',\n",
" 'aodonreeocsremikriioihfts',\n",
" 'ceogedvoeeahiidvetfsiuech',\n",
- " 'teaismeaiohhtoetdmyalssbe',\n",
- " 'huleauearmoieinwaapnegoae',\n",
- " 'rmoigadmnncoirtieaieeiowr',\n",
- " 'isyyrrttsritiatscipsdtslr',\n",
- " 'ocawoiecatfrsrhptavitesop',\n",
- " 'lresbewideeeaflroiitaapna',\n",
+ " 'teaismeaiohhtoetdmzalssbe',\n",
+ " 'huleauearmoieinxaapnegoae',\n",
+ " 'rmoigadmnncoirtieaieeioxr',\n",
+ " 'iszzrrttsritiatscipsdtslr',\n",
+ " 'ocaxoiecatfrsrhptavitesop',\n",
+ " 'lresbexideeeaflroiitaapna',\n",
" 'eusstefcljvthdtbsedfrofel',\n",
- " 'temdleatyhmcuonsnlvanrnfe',\n",
+ " 'temdleatzhmcuonsnlvanrnfe',\n",
" 'crngeirttafehedireseoiltd',\n",
- " 'snnpsinirgashtxnhosnsenoi',\n",
+ " 'snnpsinirgashtynhosnsenoi',\n",
" 'efdvrahfratsuntevnmlrceae',\n",
" 'reionoenubaeaitlnnntceetn',\n",
" 'ttgirlbansnimhtparcgavoeg',\n",
" 'hlnaonldrealotmhoeeoaeoci',\n",
" 'saniieercntdnnardeidemtvd',\n",
- " 'harsrwaeeirreesmodaannaor',\n",
- " 'tfhaysosptnbfhboiastdtcwr',\n",
- " 'rsoopatrtlicyilhkoittrhde',\n",
- " 'athaboottwaehieiodiecallo',\n",
- " 'hwheghhshtgplkaaebteutlwu',\n",
+ " 'harsrxaeeirreesmodaannaor',\n",
+ " 'tfhazsosptnbfhboiastdtcxr',\n",
+ " 'rsoopatrtliczilhkoittrhde',\n",
+ " 'athaboottxaehieiodiecallo',\n",
+ " 'hxheghhshtgplkaaebteutlxu',\n",
" 'kitoerterrnroaegtosatmivh',\n",
- " 'yesadttrenhinmencinittrnv',\n",
- " 'onnecltoubagwrtliunsffsne',\n",
+ " 'zesadttrenhinmencinittrnv',\n",
+ " 'onnecltoubagxrtliunsffsne',\n",
" 'rtadlseshmtahdlsnmeidpses',\n",
- " 'prorltpenineamileeacrexeu',\n",
+ " 'prorltpenineamileeacreyeu',\n",
" 'fviniontkemsensvnltrbusdr',\n",
- " 'roliwbcrtlioeaiierioecoto',\n",
- " 'gontaekhasbaedrtuotohufiy',\n",
+ " 'rolixbcrtlioeaiierioecoto',\n",
+ " 'gontaekhasbaedrtuotohufiz',\n",
" 'encrltaccandeatortotttpit',\n",
- " 'oennanoierilonwdrnmmmadon',\n",
- " 'arsxlsncceutsataitrsfhfis',\n",
+ " 'oennanoierilonxdrnmmmadon',\n",
+ " 'arsylsncceutsataitrsfhfis',\n",
" 'dhseelhtetfanouisthmiatgo',\n",
- " 'puiievwpeeehedrsdtbftmfts',\n",
+ " 'puiievxpeeehedrsdtbftmfts',\n",
" 'pacgnfeslsniespdcgnhotrei',\n",
- " 'jhrriitarrreyefpoihaonngn',\n",
- " 'nrepgvmawntvasanutnurepmu',\n",
- " 'gaasrdvengoeneiyrniedwrti',\n",
- " 'lvnsroyhistbeildardnroaau',\n",
- " 'tenhnvplrntriytdglpiunehi',\n",
- " 'ereawtrdehrcsceclrrriieeo',\n",
- " 'reedyprheeneelaavilsacaef',\n",
- " 'neihroesebyntsoaiergodyap',\n",
- " 'etidlaofaiploieomnehyeltr',\n",
- " 'fsitienxeoaegaftmnpyaeoed',\n",
- " 'eveomensssivyneauionamnfa']"
+ " 'jhrriitarrrezefpoihaonngn',\n",
+ " 'nrepgvmaxntvasanutnurepmu',\n",
+ " 'gaasrdvengoeneizrniedxrti',\n",
+ " 'lvnsrozhistbeildardnroaau',\n",
+ " 'tenhnvplrntriztdglpiunehi',\n",
+ " 'ereaxtrdehrcsceclrrriieeo',\n",
+ " 'reedzprheeneelaavilsacaef',\n",
+ " 'neihroesebzntsoaiergodzap',\n",
+ " 'etidlaofaiploieomnehzeltr',\n",
+ " 'fsitienyeoaegaftmnpzaeoed',\n",
+ " 'eveomensssivzneauionamnfa']"
]
},
- "execution_count": 20,
+ "execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 26,
+ "metadata": {},
"outputs": [
{
"data": {
" (24, 32)]}"
]
},
- "execution_count": 21,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 27,
+ "metadata": {},
"outputs": [
{
"data": {
" 24: 'b'}"
]
},
- "execution_count": 22,
+ "execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 28,
+ "metadata": {},
"outputs": [],
"source": [
"def valid_partial_solution(solution, inverse_keycolumn):\n",
},
{
"cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 29,
+ "metadata": {},
"outputs": [
{
"data": {
"43005"
]
},
- "execution_count": 24,
+ "execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 25,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 30,
+ "metadata": {},
"outputs": [
{
"data": {
"True"
]
},
- "execution_count": 25,
+ "execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 26,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 31,
+ "metadata": {},
"outputs": [
{
"data": {
" 'aed',\n",
" 'mir',\n",
" 'inl',\n",
- " 'lwi',\n",
+ " 'lxi',\n",
" 'eah',\n",
" 'eai',\n",
" 'aps',\n",
" 'cnl',\n",
" 'ren',\n",
" 'ege',\n",
- " 'xoo',\n",
+ " 'yoo',\n",
" 'eau',\n",
" 'uep']"
]
},
- "execution_count": 26,
+ "execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 27,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 32,
+ "metadata": {},
"outputs": [],
"source": [
"def display_solution(solution, columns):\n",
},
{
"cell_type": "code",
- "execution_count": 28,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 33,
+ "metadata": {},
"outputs": [
{
"data": {
" 'aea',\n",
" 'mii',\n",
" 'int',\n",
- " 'lwi',\n",
+ " 'lxi',\n",
" 'eah',\n",
" 'eap',\n",
" 'apk',\n",
- " 'cny',\n",
- " 'rew',\n",
+ " 'cnz',\n",
+ " 'rex',\n",
" 'egn',\n",
- " 'xor',\n",
+ " 'yor',\n",
" 'eaa',\n",
" 'uea']"
]
},
- "execution_count": 28,
+ "execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 29,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 34,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "-109.09171451522874"
+ "-110.74748837196742"
]
},
- "execution_count": 29,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 30,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 35,
+ "metadata": {},
"outputs": [],
"source": [
"def score_solution(solution, columns):\n",
},
{
"cell_type": "code",
- "execution_count": 31,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 36,
+ "metadata": {},
"outputs": [
{
"data": {
" 'aea',\n",
" 'mii',\n",
" 'int',\n",
- " 'lwi',\n",
+ " 'lxi',\n",
" 'eah',\n",
" 'eap',\n",
" 'apk',\n",
- " 'cny',\n",
- " 'rew',\n",
+ " 'cnz',\n",
+ " 'rex',\n",
" 'egn',\n",
- " 'xor',\n",
+ " 'yor',\n",
" 'eaa',\n",
" 'uea'],\n",
- " -112.23213925765266),\n",
+ " -114.13063154833905),\n",
" ([(0, 35), (0, 12), (0, 3)],\n",
" ['pha',\n",
" 'ruo',\n",
" 'aed',\n",
" 'mir',\n",
" 'inl',\n",
- " 'lwi',\n",
+ " 'lxi',\n",
" 'eah',\n",
" 'eai',\n",
" 'aps',\n",
" 'cnl',\n",
" 'ren',\n",
" 'ege',\n",
- " 'xoo',\n",
+ " 'yoo',\n",
" 'eau',\n",
" 'uep'],\n",
- " -109.09171451522874),\n",
+ " -110.74748837196742),\n",
" ([(0, 35), (0, 12), (0, 9)],\n",
" ['pha',\n",
" 'ruo',\n",
" 'aee',\n",
" 'mim',\n",
" 'ini',\n",
- " 'lwk',\n",
+ " 'lxk',\n",
" 'ear',\n",
" 'eai',\n",
" 'api',\n",
" 'cno',\n",
" 'rei',\n",
" 'egh',\n",
- " 'xof',\n",
+ " 'yof',\n",
" 'eat',\n",
" 'ues'],\n",
- " -105.51902198106185),\n",
+ " -104.78169431178242),\n",
" ([(0, 35), (0, 12), (0, 29)],\n",
" ['pha',\n",
" 'rut',\n",
" 'peo',\n",
" 'eat',\n",
" 'nrt',\n",
- " 'imw',\n",
+ " 'imx',\n",
" 'noa',\n",
" 'eie',\n",
" 'aeh',\n",
" 'mii',\n",
" 'ine',\n",
- " 'lwi',\n",
+ " 'lxi',\n",
" 'eao',\n",
" 'ead',\n",
" 'api',\n",
" 'cne',\n",
" 'rec',\n",
" 'ega',\n",
- " 'xol',\n",
+ " 'yol',\n",
" 'eal',\n",
" 'ueo'],\n",
- " -106.91642615054437),\n",
+ " -109.4716997212109),\n",
" ([(0, 35), (0, 12), (0, 41)],\n",
" ['pha',\n",
" 'rur',\n",
" 'ols',\n",
- " 'rex',\n",
+ " 'rey',\n",
" 'lal',\n",
" 'tus',\n",
" 'pen',\n",
" 'aes',\n",
" 'mia',\n",
" 'int',\n",
- " 'lwa',\n",
+ " 'lxa',\n",
" 'eai',\n",
" 'eat',\n",
" 'apr',\n",
" 'cns',\n",
" 'ref',\n",
" 'egh',\n",
- " 'xof',\n",
+ " 'yof',\n",
" 'eai',\n",
" 'ues'],\n",
- " -100.92420426683796),\n",
+ " -101.93339111217242),\n",
" ([(0, 35), (0, 12), (1, 44)],\n",
" ['pha',\n",
" 'ruc',\n",
" 'aes',\n",
" 'mip',\n",
" 'ind',\n",
- " 'lwc',\n",
+ " 'lxc',\n",
" 'eag',\n",
" 'ean',\n",
" 'aph',\n",
" 'cno',\n",
" 'ret',\n",
" 'egr',\n",
- " 'xoe',\n",
+ " 'yoe',\n",
" 'eai',\n",
" 'uep'],\n",
- " -108.53207489276411),\n",
+ " -108.4937247934099),\n",
" ([(0, 35), (0, 12), (1, 47)],\n",
" ['pha',\n",
" 'rua',\n",
" 'ein',\n",
" 'aee',\n",
" 'mii',\n",
- " 'iny',\n",
- " 'lwr',\n",
+ " 'inz',\n",
+ " 'lxr',\n",
" 'ean',\n",
" 'eai',\n",
" 'ape',\n",
" 'cnd',\n",
- " 'rew',\n",
+ " 'rex',\n",
" 'egr',\n",
- " 'xot',\n",
+ " 'yot',\n",
" 'eai',\n",
" 'ueg'],\n",
- " -109.50900823047225),\n",
+ " -111.05157201209927),\n",
" ([(0, 35), (0, 12), (2, 47)],\n",
" ['pha',\n",
" 'rus',\n",
" 'non',\n",
" 'eie',\n",
" 'aei',\n",
- " 'miy',\n",
+ " 'miz',\n",
" 'inr',\n",
- " 'lwn',\n",
+ " 'lxn',\n",
" 'eai',\n",
" 'eae',\n",
" 'apd',\n",
- " 'cnw',\n",
+ " 'cnx',\n",
" 'rer',\n",
" 'egt',\n",
- " 'xoi',\n",
+ " 'yoi',\n",
" 'eag',\n",
" 'uea'],\n",
- " -114.40196859359595),\n",
+ " -113.41085773377256),\n",
" ([(0, 35), (0, 12), (3, 50)],\n",
" ['pha',\n",
- " 'ruw',\n",
+ " 'rux',\n",
" 'olt',\n",
" 'rer',\n",
" 'lad',\n",
" 'aec',\n",
" 'mil',\n",
" 'inr',\n",
- " 'lwr',\n",
+ " 'lxr',\n",
" 'ear',\n",
" 'eai',\n",
" 'api',\n",
" 'cne',\n",
" 'ree',\n",
" 'ego',\n",
- " 'xoe',\n",
+ " 'yoe',\n",
" 'ear',\n",
" 'uee'],\n",
- " -106.68850150792129),\n",
+ " -107.5080042911796),\n",
" ([(0, 35), (0, 12), (4, 38)],\n",
" ['pha',\n",
" 'rue',\n",
" 'aeu',\n",
" 'mio',\n",
" 'int',\n",
- " 'lwo',\n",
+ " 'lxo',\n",
" 'eah',\n",
" 'eau',\n",
" 'apf',\n",
" 'cni',\n",
- " 'rey',\n",
+ " 'rez',\n",
" 'egg',\n",
- " 'xoo',\n",
+ " 'yoo',\n",
" 'ean',\n",
" 'uet'],\n",
- " -108.49770543928673)]"
+ " -111.19702574254387)]"
]
},
- "execution_count": 31,
+ "execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 32,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 37,
+ "metadata": {},
"outputs": [
{
"data": {
"[[(0, 35), (0, 12), (0, 41)],\n",
" [(0, 35), (0, 12), (0, 9)],\n",
" [(0, 35), (0, 12), (3, 50)],\n",
- " [(0, 35), (0, 12), (0, 29)],\n",
- " [(0, 35), (0, 12), (4, 38)],\n",
" [(0, 35), (0, 12), (1, 44)],\n",
+ " [(0, 35), (0, 12), (0, 29)],\n",
" [(0, 35), (0, 12), (0, 3)],\n",
" [(0, 35), (0, 12), (1, 47)],\n",
- " [(0, 35), (0, 12), (0, 0)],\n",
- " [(0, 35), (0, 12), (2, 47)]]"
+ " [(0, 35), (0, 12), (4, 38)],\n",
+ " [(0, 35), (0, 12), (2, 47)],\n",
+ " [(0, 35), (0, 12), (0, 0)]]"
]
},
- "execution_count": 32,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 33,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 38,
+ "metadata": {},
"outputs": [],
"source": [
"solutions = sorted(solutions, key=lambda s: score_solution(s, columns), reverse=True)[:10000]"
},
{
"cell_type": "code",
- "execution_count": 34,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "10000"
- ]
- },
- "execution_count": 34,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [],
"source": [
- "for letter in 'seseven': #'haseeight':\n",
- " new_solutions = []\n",
- " for solution in solutions:\n",
- " used_columns = [p[1] for p in solution]\n",
- " for position in letter_positions[letter]:\n",
- " if position[1] not in used_columns:\n",
- " if valid_partial_solution(solution + [position], inverse_keycolumn):\n",
- " new_solutions += [solution + [position]]\n",
- " solutions = sorted(new_solutions, key=lambda s: score_solution(s, columns), reverse=True)[:10000]\n",
- "len(solutions)"
+ "# for letter in 'seseven': #'haseeight':\n",
+ "# new_solutions = []\n",
+ "# for solution in solutions:\n",
+ "# used_columns = [p[1] for p in solution]\n",
+ "# for position in letter_positions[letter]:\n",
+ "# if position[1] not in used_columns:\n",
+ "# if valid_partial_solution(solution + [position], inverse_keycolumn):\n",
+ "# new_solutions += [solution + [position]]\n",
+ "# solutions = sorted(new_solutions, key=lambda s: score_solution(s, columns), reverse=True)[:10000]\n",
+ "# len(solutions)"
]
},
{
"cell_type": "code",
- "execution_count": 35,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 40,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['phaseseven',\n",
- " 'ninmelcalh',\n",
- " 'andodrinho',\n",
- " 'lmedyierts',\n",
- " 'reaapstnen',\n",
- " 'entaryafts',\n",
- " 'sconhysefe',\n",
- " 'birnerctan',\n",
- " 'entaergeno',\n",
- " 'wioontomoi',\n",
- " 'ittretedus',\n",
- " 'dttheselin',\n",
- " 'ertalriesn',\n",
- " 'enpraiaatp',\n",
- " 'evisateths',\n",
- " 'aytrvioymi',\n",
- " 'feewiaihin',\n",
- " 'lsnaltemai',\n",
- " 'racessdctr',\n",
- " 'odreacyugg',\n",
- " 'itliciaooa',\n",
- " 'ittrapinds',\n",
- " 'trareseshh',\n",
- " 'aecefdanst',\n",
- " 'ancertalex']"
+ "['pha',\n",
+ " 'reo',\n",
+ " 'oel',\n",
+ " 'rna',\n",
+ " 'lea',\n",
+ " 'tet',\n",
+ " 'pli',\n",
+ " 'ead',\n",
+ " 'nat',\n",
+ " 'ivi',\n",
+ " 'nin',\n",
+ " 'ele',\n",
+ " 'asd',\n",
+ " 'mar',\n",
+ " 'icl',\n",
+ " 'lai',\n",
+ " 'eeh',\n",
+ " 'efi',\n",
+ " 'ars',\n",
+ " 'cel',\n",
+ " 'ren',\n",
+ " 'ede',\n",
+ " 'yzo',\n",
+ " 'epu',\n",
+ " 'urp']"
]
},
- "execution_count": 35,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 36,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 41,
+ "metadata": {},
"outputs": [
{
"data": {
"849"
]
},
- "execution_count": 36,
+ "execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 37,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 42,
+ "metadata": {},
"outputs": [
{
"data": {
" 'fainted']"
]
},
- "execution_count": 37,
+ "execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 38,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 43,
+ "metadata": {},
"outputs": [
{
"data": {
"175"
]
},
- "execution_count": 38,
+ "execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 39,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 44,
+ "metadata": {},
"outputs": [
{
"data": {
" 'raaorejpftneanrpihes',\n",
" 'ghrrlanjratnthnpfhri',\n",
" 'gharnarjreaetvnpnfai',\n",
- " 'frtroenppwthsredoheo',\n",
+ " 'frtroenppxthsredoheo',\n",
" 'frahoepppeaearednsus',\n",
" 'raeaoalpfnsntirprlhi',\n",
" 'raaiahnpfmotarrpnhis',\n",
" 'rrlatajpenfisnrerpen',\n",
" 'rooaeaepenfntaruhpri',\n",
" 'fiairnhpomopraernhdn',\n",
- " 'pfomrteddsnnwstcnsno',\n",
+ " 'pfomrteddsnnxstcnsno',\n",
" 'rrninalpeheofnrearep',\n",
" 'fonrraeperipmseunodn',\n",
" 'fonrnrhperirpaeunotd',\n",
" 'gaanehrjnthrraneiaep',\n",
" 'raannalpethofnrniaep',\n",
" 'eaahtktnntaogheeisrj',\n",
- " 'ftaaormpwtshnneoinen',\n",
- " 'ftashanpwtnemreoieln',\n",
- " 'ftashnapwtnenmeoiela',\n",
+ " 'ftaaormpxtshnneoinen',\n",
+ " 'ftashanpxtnemreoieln',\n",
+ " 'ftashnapxtnenmeoiela',\n",
" 'faasoeppetnearenieus',\n",
" 'faaeoeppetsearenious',\n",
" 'farnorppepeevrendauv',\n",
" 'gaviehrjnvearaneorep',\n",
" 'raaoorapesneatrnlhuf',\n",
" 'flaoinrpisnorpeolhrt',\n",
- " 'ptrlfondwtndhhtohrce',\n",
- " 'pthafnhdwemdratolncn',\n",
- " 'ftrhnaipwtartoeohsni',\n",
+ " 'ptrlfondxtndhhtohrce',\n",
+ " 'pthafnhdxemdratolncn',\n",
+ " 'ftrhnaipxtartoeohsni',\n",
" 'rlaaniapissrefrolntr',\n",
" 'rlralaepitsnfrrohnrp',\n",
" 'rlraraepitsnfrrohnnp',\n",
- " 'fthsranpwenpmreoledn',\n",
- " 'fthnraepweapmseolidn',\n",
+ " 'fthsranpxenpmreoledn',\n",
+ " 'fthnraepxeapmseolidn',\n",
" 'plasinpdisnoretolert',\n",
" 'rlnaniepinfresroaptr',\n",
" 'faauirlpeslopnennird',\n",
" 'raaeuaepesalfrrnnsip',\n",
- " 'flnnrrepinrtpseoatwd',\n",
+ " 'flnnrrepinrtpseoatxd',\n",
" 'faaeuirpesalopennsir',\n",
- " 'ptnocemdwnhesntoaeto',\n",
+ " 'ptnocemdxnhesntoaeto',\n",
" 'raannaepesrofrrnnnep',\n",
" 'flanrrapisripmeonnod',\n",
- " 'ftamrropwsnnpseonsnd',\n",
+ " 'ftamrropxsnnpseonsnd',\n",
" 'plarinpdisnoretonnrt',\n",
" 'plnninpdineoretoasrt',\n",
" 'pleinpndisorertoortf',\n",
- " 'ftehnrapwseapmeoolid',\n",
+ " 'ftehnrapxseapmeoolid',\n",
" 'fvaaoeppvteeareoinus',\n",
" 'raaeoaopstnefnrlirup',\n",
" 'fvaeoeppvtneareoirus',\n",
" 'frlprlnptirpnhehoidr',\n",
" 'rvarajapvnetnfroeeio',\n",
" 'raaoahapseetafrlnuis',\n",
- " 'frwrohnptopharehades',\n",
+ " 'frxrohnptopharehades',\n",
" 'rroeanhpthrfrarheppn',\n",
" 'ranelanpsrrifhrltpop',\n",
" 'rroeaanpthrsfrrhepnp',\n",
" 'fhaprhnpemrparelnids',\n",
" 'frlposrptnrenpehriue',\n",
" 'paouinpdsnloretlhirt',\n",
- " 'frliatnptnotwhehrhio',\n",
- " 'frlwaohptnothaehraie',\n",
+ " 'frliatnptnotxhehrhio',\n",
+ " 'frlxaohptnothaehraie',\n",
" 'rrliahaptnotafrhrhis',\n",
- " 'fhawahnpemotarelnais',\n",
+ " 'fhaxahnpemotarelnais',\n",
" 'raoeooapsnnertrlhrua',\n",
" 'paoiinpdsnooretlhhrt',\n",
- " 'frliataptnoswtehrhno',\n",
+ " 'frliataptnosxtehrhno',\n",
" 'rrlnauaptnhtlfrhraii',\n",
" 'fhahirnpemaoprelnsrd',\n",
" 'fharaorpemnsapelnnne',\n",
" 'fhasrorpemnpanelnede',\n",
- " 'fhatrmrpeswpnnelnods',\n",
+ " 'fhatrmrpesxpnnelnods',\n",
" 'paalinpdssioretlnort',\n",
" 'rraoealptshrfnrhnepp',\n",
" 'fhnoeaepenarmselaepn',\n",
" 'goaeehrjntaaranhisep',\n",
" 'roaeuaapntalferhisip',\n",
" 'roaeeoapntaaefrhiseu',\n",
- " 'flanrlepntrtiseritwo',\n",
+ " 'flanrlepntrtiseritxo',\n",
" 'rlanhoopntraerrritsu',\n",
" 'faaapnrpmtsroneninie',\n",
" 'flaeonppntserreriout',\n",
" 'glhrranjnreathnrpefi',\n",
" 'flrrpnhpnperoaerdeie',\n",
- " 'flrwrohpnpothaerdahe',\n",
+ " 'flrxrohpnpothaerdahe',\n",
" 'rlaninnpnfreohrrptre',\n",
" 'forosimpspaoenenderu',\n",
" 'farnrlepmpriisendnoo',\n",
" 'foapianpnsrotrehlihi',\n",
" 'foapirnpnsroprehlihd',\n",
" 'flrliinpntioeherhorr',\n",
- " 'flrohatpnthatwerhesi',\n",
+ " 'flrohatpnthatxerhesi',\n",
" 'rlrohaepnthafrrrhesp',\n",
" 'rahnhaepmerafrrnlnsp',\n",
" 'rlrhnaepntaofrrrhsep',\n",
" 'faieoeppseaearenreus',\n",
" 'faraoeppspeearendnus',\n",
" 'falaninpsitrorenoitr',\n",
- " 'fatnrirpswrtopenonhh',\n",
+ " 'fatnrirpsxrtopenonhh',\n",
" 'paerhomdstneantnvnle',\n",
" 'gantahrjseierannaenp',\n",
" 'raetlalpsniifnrnreop',\n",
" 'fanuirlpsrlopnentird',\n",
" 'faatonrpsmierienneun',\n",
" 'pallinpdsnioretnrort',\n",
- " 'paltropdsnwthetnrohe',\n",
+ " 'paltropdsnxthetnrohe',\n",
" 'galnaohjsnrtrrnnrtia',\n",
" 'paaoinedsmhorftnnern',\n",
" 'fnonisrpnssonpeancre',\n",
" 'failthoptonheneirral',\n",
" 'faionoiptosarneirnis',\n",
" 'faorrasptenilceiunoe',\n",
- " 'fatlvnnptwivnseioooa',\n",
+ " 'fatlvnnptxivnseioooa',\n",
" 'gaaavlajtenvcfnineoe',\n",
" 'ralnahnptirfasrionps',\n",
" 'falmireptinonseiosrn',\n",
" 'raoeluvptnnihurihroc',\n",
" 'galavlajtnmvcfnirnoe',\n",
" 'raahnanptmaofrrinsep',\n",
- " 'ganorctjthrehwniaaeo',\n",
+ " 'ganorctjthrehxniaaeo',\n",
" 'fanroanpthiesreiaoul',\n",
" 'ganhhnajtrarrfninspt',\n",
- " 'ranhaoyptrafherinspe',\n",
- " 'fahattmptacwuneiseor',\n",
+ " 'ranhaozptrafherinspe',\n",
+ " 'fahattmptacxuneiseor',\n",
" 'gahehfhjtarrtonisepo',\n",
" 'gahehlajtarrnfnisepr',\n",
" 'fanlnifptnisoteiaocr',\n",
" 'faamriaptsnnoceinsnr',\n",
" 'raalnripftnhtorpirah',\n",
" 'ghanrtajrtheonnpiaer',\n",
- " 'raahnylpftaoenrpisen',\n",
- " 'raarnyopftnoenrpinen',\n",
+ " 'raahnzlpftaoenrpisen',\n",
+ " 'raarnzopftnoenrpinen',\n",
" 'gharaaajrtnsmfnpinnn',\n",
- " 'raaraoypftnsserpinnn',\n",
+ " 'raaraozpftnsserpinnn',\n",
" 'ghtanaojromntnnprnai',\n",
- " 'ghrosefjraoyttnpfgdt',\n",
+ " 'ghrosefjraozttnpfgdt',\n",
" 'ghrraocjraamdhnpflns',\n",
- " 'oykrtcsgegaiatfnjfel',\n",
+ " 'ozkrtcsgegaiatfnjfel',\n",
" 'ekhrtulngraiheejpfec',\n",
- " 'rarstolpfpyuherpdere',\n",
- " 'fryltolppeiuaeednore',\n",
- " 'ghaatoojrnfsdrnpepys',\n",
+ " 'rarstolpfpzuherpdere',\n",
+ " 'frzltolppeiuaeednore',\n",
+ " 'ghaatoojrnfsdrnpepzs',\n",
" 'gharooojrnerdrnpeeas',\n",
" 'raaoithpfeeeuarpnurr',\n",
" 'raafontpfesrturpnrsn',\n",
" 'frlanirppisroaedoltr',\n",
" 'friintnppooruhedhrtr',\n",
" 'raeirolpfaeeherpsree',\n",
- " 'frawkrrppmogvnednajv',\n",
+ " 'fraxkrrppmogvnednajv',\n",
" 'ghonavhjrnrtuonphtir',\n",
" 'frloiroppnnaeaedrhae',\n",
" 'raankrspfmaghtrpnije',\n",
" 'frosanappsnenmedneea',\n",
" 'rahrinopfaeeoorpsere',\n",
- " 'frsyoteppnesugedennr',\n",
+ " 'frszoteppnesugedennr',\n",
" 'raeniaepfsrotarpothi',\n",
" 'granoahjethrsrneiaal',\n",
" 'fiihrhepoeaeeaerrsel',\n",
- " 'roeseooperytonrupevg',\n",
+ " 'roeseooperztonrupevg',\n",
" 'roeaathperfeuaruppnr',\n",
" 'grtaooujehsrdhnernas',\n",
" 'roaaeoopeferonrupnpg',\n",
" 'rraaesopefnrmhrepepn',\n",
" 'rraeesspefarmnrepspn',\n",
- " 'roaliyfpefneetruprrn',\n",
+ " 'roalizfpefneetruprrn',\n",
" 'roaaionpefmeohrupnrg',\n",
" 'fopalrrpersneheuinre',\n",
" 'frainsopeneomaeeeren',\n",
" 'roaaranpeefvterunpvi',\n",
- " 'filanvspoieevyeronao',\n",
+ " 'filanvspoieevzeronao',\n",
" 'fileoonpoindoherorsg',\n",
" 'roatsecpenrrteruevht',\n",
" 'roahalrpeeafnprunspr',\n",
" 'roeaasapeatemirusinn',\n",
" 'finaltnportiuhertior',\n",
" 'finalthportiuaertior',\n",
- " 'roeaaswpeatemfrusinn',\n",
+ " 'roeaasxpeatemfrusinn',\n",
" 'etravehnuvtuhrervirk',\n",
" 'greavlrjeatutanesirh',\n",
" 'rrejaorpeanfnpresoph',\n",
" 'rooataepenfisnruhpel',\n",
" 'fiargfipompjteerndnr',\n",
" 'fiargvapompjvierndno',\n",
- " 'rolahsepenfaytrurpsd',\n",
+ " 'rolahsepenfaztrurpsd',\n",
" 'rolasaapenfnterurpei',\n",
" 'rolasrhpenfnterurpeh',\n",
" 'filrsroponpntserrdeh',\n",
" 'faahgtepetajugenisnr',\n",
" 'gaahehfjntarrtneisep',\n",
" 'rlahnanpitarfrroistp',\n",
- " 'rlahiyepitahearoisin',\n",
- " 'rlahiylpitahenroisin',\n",
- " 'rlariyopitnhenroinin',\n",
+ " 'rlahizepitahearoisin',\n",
+ " 'rlahizlpitahenroisin',\n",
+ " 'rlarizopitnhenroinin',\n",
" 'faahntopetatuaenisnr',\n",
- " 'ftahnrspwtattleoisnh',\n",
+ " 'ftahnrspxtattleoisnh',\n",
" 'rlarsetpitnntaroinet',\n",
" 'flaarimpitsnoneoinnr',\n",
" 'gaannhajeterrfnnisnp',\n",
- " 'raartsopnfpsmhrepdyn',\n",
+ " 'raartsopnfpsmhrepdzn',\n",
" 'farrntopepatuaendlnr',\n",
" 'farnonrpepeehiendaua',\n",
" 'farnroopephieoendaou',\n",
" 'plavervdisoeeutolode',\n",
" 'rlaoanipisnfrerolhpt',\n",
" 'flrliefpitnorteohrrp',\n",
- " 'pthafnhdwemdratolncn',\n",
+ " 'pthafnhdxemdratolncn',\n",
" 'planervdishgeutolahe',\n",
- " 'ftrhnaipwtartoeohsni',\n",
+ " 'ftrhnaipxtartoeohsni',\n",
" 'rlrsalrpitnfnprohepr',\n",
" 'faatctopesieuaennehr',\n",
- " 'ftnronfpwnphsteoadec',\n",
+ " 'ftnronfpxnphsteoadec',\n",
" 'flnierhpinoreaeoarpe',\n",
" 'paaeuivdesaloutnnsir',\n",
" 'raalofrpesnsdprnnrnc',\n",
" 'flaadoopismedoeonngs',\n",
" 'flamrrnpisnipreonsod',\n",
- " 'ftamrropwsnnpseonsnd',\n",
- " 'ftardkapwsnogmeonnoj',\n",
- " 'ftnndkopwnsogneoacoj',\n",
+ " 'ftamrropxsnnpseonsnd',\n",
+ " 'ftardkapxsnogmeonnoj',\n",
+ " 'ftnndkopxnsogneoacoj',\n",
" 'rletaropishtiorooait',\n",
" 'flemrropisnipoeoosod',\n",
" 'grianeajtesrgfnhrnnh',\n",
" 'prpraordteissvthfoln',\n",
" 'prinhovdtoraeuthrnsu',\n",
" 'rrlranoptiatarrhofii',\n",
- " 'palrnrvdsithtutlowah',\n",
+ " 'palrnrvdsithtutloxah',\n",
" 'raianhrpsofraprlhpts',\n",
" 'rrorarrpthatvnrhefiv',\n",
" 'fveeaoopvareeaeospnu',\n",
" 'ranhaovpsrateurltsiu',\n",
- " 'fhafyoipeeseneelernh',\n",
+ " 'fhafzoipeeseneelernh',\n",
" 'rrhfaiuptetiehrhlrhr',\n",
" 'rrvdapoptvoceorhooef',\n",
" 'prvgovgdtvheuftholur',\n",
" 'gaoherfjsnrrptnlhped',\n",
" 'frlrlhlptnpireehrdop',\n",
" 'raoaahepsnfeehrlhpns',\n",
- " 'fharwanpemposhelndal',\n",
+ " 'fharxanpemposhelndal',\n",
" 'raoanaipsnfrtorlhpti',\n",
" 'rhaanhrpemfraprlnpns',\n",
" 'faormropespnnneendsn',\n",
" 'fharshepempnraelndep',\n",
" 'fhaphsrpemdrmnelntpn',\n",
" 'fhaproipemrpneelnidh',\n",
- " 'prlrlfadtntidlthrwoc',\n",
- " 'frliatfptnotwtehrhio',\n",
+ " 'prlrlfadtntidlthrxoc',\n",
+ " 'frliatfptnotxtehrhio',\n",
" 'frlirdfptnopetehrhdg',\n",
- " 'frlitrnptnowphehrhod',\n",
- " 'frlwvyaptnovdcehraoo',\n",
+ " 'frlitrnptnoxphehrhod',\n",
+ " 'frlxvzaptnovdcehraoo',\n",
" 'rrlnauaptnhtlfrhraii',\n",
" 'rhansaapemrnftrlnnep',\n",
" 'frlhorgptnaephehrsud',\n",
- " 'fhahscepemayaaelnsdl',\n",
+ " 'fhahscepemazaaelnsdl',\n",
" 'rhasathpemntaorlneii',\n",
" 'rhnhaarperafmprlnspn',\n",
" 'rraoataptsrtnnrhnair',\n",
- " 'fratornptswhprehnoed',\n",
+ " 'fratornptsxhprehnoed',\n",
" 'faaneoopssrreaelntpu',\n",
" 'fraoraiptshntoehneni',\n",
" 'fhaanaspesmrerelnnne',\n",
" 'foaeeoopntaaeaehiseu',\n",
" 'foaeuaipntaleoehisin',\n",
" 'raasoalpmtoefnrnirup',\n",
- " 'glasntajntoewfnrirto',\n",
+ " 'glasntajntoexfnrirto',\n",
" 'raasaeopmtoatornircv',\n",
" 'gohieaajnreanfnhpree',\n",
" 'rlaiuarpnfelearrprin',\n",
" 'gohraocjnramdhnhpfns',\n",
" 'glhraosjnramdtnrpfns',\n",
- " 'gohassujnrfyrhnhppeh',\n",
- " 'rlarshtpnfpyerrrpdel',\n",
- " 'gohytuvjnreohunhpndc',\n",
+ " 'gohassujnrfzrhnhppeh',\n",
+ " 'rlarshtpnfpzerrrpdel',\n",
+ " 'gohztuvjnreohunhpndc',\n",
" 'roakfrfpnfgttsrhpjuh',\n",
" 'flrkrolpnpgeaeerdjee',\n",
- " 'gohyahfjnrenetnhpnes',\n",
+ " 'gohzahfjnrenetnhpnes',\n",
" 'rlakserpnfgrtvrrpjht',\n",
" 'faronvlpmpotvcendgno',\n",
" 'roaoooipsfosrnrnpgns',\n",
" 'rlansorpnfroeprrptru',\n",
" 'farosiopmphoooenderr',\n",
" 'farlahepmposraendsnp',\n",
- " 'flrnriypnphioeerdaoh',\n",
+ " 'flrnrizpnphioeerdaoh',\n",
" 'flrhnropnpateaerdsne',\n",
" 'farrshdpmpnneeendnel',\n",
" 'fliihrhpnoeaeeerrrse',\n",
- " 'floposfpnerdyteruise',\n",
- " 'pafnrofdmdrtettncnwu',\n",
+ " 'floposfpnerdzteruise',\n",
+ " 'pafnrofdmdrtettncnxu',\n",
" 'plinurvdnohleutrraie',\n",
" 'rlosnerpneoetprrurtv',\n",
" 'faisafopmooasoenrrcr',\n",
" 'paafroadmsdneetnncnu',\n",
" 'flaitirpnsohopernhar',\n",
" 'raonnrapsroretrnaene',\n",
- " 'faesltopsryiuaenpeor',\n",
+ " 'faesltopsrziuaenpeor',\n",
" 'faraltopspeiuaendnor',\n",
" 'fnponsopnresmseaiucn',\n",
" 'fneisaapnuontmealrei',\n",
- " 'fatiatnpswemneenornr',\n",
+ " 'fatiatnpsxemneenornr',\n",
" 'gaaetctjsntiasnnevel',\n",
" 'faoirirpshenotenernr',\n",
" 'faneoogpsrreafentpue',\n",
" 'ranalrapsrfnpcrntprd',\n",
- " 'faoooynpshadereneesn',\n",
+ " 'faoooznpshadereneesn',\n",
" 'pallrhpdsnitirtnrohi',\n",
- " 'faodoynpssederenngsn',\n",
+ " 'faodoznpssederenngsn',\n",
" 'rnaovirpnmsviprannoe',\n",
" 'faorrrapssnipmennnod',\n",
" 'faorrrmpssnipnennnod',\n",
" 'ranhusiptrahnhritsct',\n",
" 'raaaskaptmfngnrinpej',\n",
" 'raaieflptmostnrinhoo',\n",
- " 'ranhaoyptrafherinspe',\n",
- " 'fahattmptacwuneiseor',\n",
- " 'faratsnptncwmseineon',\n",
+ " 'ranhaozptrafherinspe',\n",
+ " 'fahattmptacxuneiseor',\n",
+ " 'faratsnptncxmseineon',\n",
" 'ranaotfptsfgntricpfr',\n",
" 'faroparptnerseeinuin',\n",
" 'rahiknoptahgrorisijt',\n",
" 'rahionoptahorerisigt',\n",
- " 'raalreyptsinterinonv',\n",
+ " 'raalrezptsinterinonv',\n",
" 'raaaotfpftmgntrpinfr',\n",
" 'ghaheotjrtaroanpiseg',\n",
- " 'ghrosefjraoyttnpfgdt',\n",
- " 'ghrysorjraeyrnnpfnds',\n",
- " 'fryltolppeiuaeednore',\n",
+ " 'ghrosefjraozttnpfgdt',\n",
+ " 'ghrzsorjraezrnnpfnds',\n",
+ " 'frzltolppeiuaeednore',\n",
" 'friintnppooruhedhrtr',\n",
" 'frnaplkpprsrngedtnir',\n",
" 'ghorreajrnaeatnphfes',\n",
- " 'raliyrdpfnoevorprhnv',\n",
+ " 'ralizrdpfnoevorprhnv',\n",
" 'ghlnavtjrnrturnprtir',\n",
" 'frloknippnngsoedrhjc',\n",
" 'frarilrppmnoiaednnro',\n",
" 'poprhredeeiaeatufose',\n",
" 'pipaaoedoesmeatrfnnu',\n",
" 'rraoltrpeneeapreeusi',\n",
- " 'foaigsrpeeofyaeunrtd',\n",
- " 'pftterrddwulevtcoroe',\n",
+ " 'foaigsrpeeofzaeunrtd',\n",
+ " 'pftterrddxulevtcoroe',\n",
" 'foafrripeesanoeunrln',\n",
" 'foahroopeeaidoeunsos',\n",
" 'roeaasapeatemirusinn',\n",
" 'finaltnportiuhertior',\n",
" 'greavlsjeatutmnesirh',\n",
- " 'roeotcspeadsemrussyt',\n",
+ " 'roeotcspeadsemrusszt',\n",
" 'fonsetopermgooeutnhd',\n",
" 'rrevkdopeaugtrresrjo',\n",
- " 'grohtsojenroyonehprd',\n",
+ " 'grohtsojenrozonehprd',\n",
" 'frlrrolpenppeeeerdru',\n",
" 'filrthsponphenerrdal',\n",
" 'roaasarpemfntnrunpei',\n",
" 'rlahnanpitarfrroistp',\n",
" 'gaahgovjetahounnislg',\n",
" 'gaahgotjetahoannislg',\n",
- " 'rlaraeypitnsteroinnv',\n",
+ " 'rlaraezpitnsteroinnv',\n",
" 'flaarimpitsnoneoinnr',\n",
- " 'ftashaopwtnemgeoieln',\n",
+ " 'ftashaopxtnemgeoieln',\n",
" 'raaejaspnfrnemreppon',\n",
" 'raaretrpefphuarnpdkr',\n",
" 'farnrorpeprieaendnou',\n",
" 'flrsrlipitnpnoeohedr',\n",
" 'gaaorocjesrnoannnans',\n",
" 'flarpropispdeoeonrte',\n",
- " 'rlariyspisnheyronnin',\n",
+ " 'rlarizspisnhezronnin',\n",
" 'rleerucpistpheroovdc',\n",
- " 'flenrrypisaipeeooiod',\n",
+ " 'flenrrzpisaipeeooiod',\n",
" 'fapjrrrpsrnehaelioee',\n",
- " 'frlrahoptitnenehowes',\n",
+ " 'frlrahoptitnenehoxes',\n",
" 'raaloofpseidrtrlnosa',\n",
- " 'fhtfhcopewteeoelorsi',\n",
+ " 'fhtfhcopexteeoelorsi',\n",
" 'frlfhnhptitearehorsi',\n",
" 'palfacfdsiteedtlorei',\n",
" 'frhfodsptesoemehlrgg',\n",
- " 'prhttaedtewuisthlorh',\n",
+ " 'prhttaedtexuisthlorh',\n",
" 'rrhfaiuptetiehrhlrhr',\n",
" 'rrvitaaptvhicnrhoiee',\n",
" 'prviroadtvhienthoiou',\n",
" 'prlpisodtneonethrfre',\n",
" 'frlpvdnptnrvotehrioo',\n",
" 'rrliahiptnotahrhrhis',\n",
- " 'frlwvyaptnovdcehraoo',\n",
+ " 'frlxvzaptnovdcehraoo',\n",
" 'rhansaapemrnftrlnnep',\n",
" 'pharesidemnfnotlnnde',\n",
" 'rrlhofoptnaepdrhrsue',\n",
" 'grlsattjtnntahnhreii',\n",
" 'frneofoptrgetdehnhur',\n",
" 'fhnhraiperapmoelnsdn',\n",
- " 'pratiahdtswosithnohl',\n",
- " 'fratornptswhprehnoed',\n",
+ " 'pratiahdtsxosithnohl',\n",
+ " 'fratornptsxhprehnoed',\n",
" 'rraoealptshrfnrhnepp',\n",
" 'rhaaniupesmrerrlnnnr',\n",
" 'fhaanaspesmrerelnnne',\n",
" 'goanlfojntentanhirro',\n",
" 'glanohnjntrrrhnritap',\n",
" 'rlanoonpntrrehrritau',\n",
- " 'flaorevpnthtnveriewe',\n",
- " 'faaoranpmthtlneniewe',\n",
+ " 'flaorevpnthtnveriexe',\n",
+ " 'faaoranpmthtlneniexe',\n",
" 'rlanuvrpntrluarritir',\n",
" 'rlahaaopntafmhrrispn',\n",
- " 'gohrystjnraeyunhpfnd',\n",
- " 'glhryssjnraeymnrpfnd',\n",
+ " 'gohrzstjnraezunhpfnd',\n",
+ " 'glhrzssjnraezmnrpfnd',\n",
" 'elkatoenngfirgerjpes',\n",
- " 'gohyfuvjnreshunhpnrc',\n",
+ " 'gohzfuvjnreshunhpnrc',\n",
" 'faronnapmpohteendgan',\n",
- " 'forynhepsperatendnns',\n",
+ " 'forznhepsperatendnns',\n",
" 'flrrpnhpnperoaerdeie',\n",
" 'roaeinepnfaeonrhpsre',\n",
- " 'rlannyrpnfhoehrrpaen',\n",
+ " 'rlannzrpnfhoehrrpaen',\n",
" 'fornohfpspsgltendcfc',\n",
" 'glroanejnerthgnreaia',\n",
- " 'gothrsrjnurayenhrpfd',\n",
+ " 'gothrsrjnurazenhrpfd',\n",
" 'ploprhrdneeiaetrufos',\n",
" 'faopohspmerdomenuiso',\n",
" 'failftrpmoisuaenrorr',\n",
" 'fainuorpmorldaenrnis',\n",
" 'foisrropsooaeoenrrte',\n",
" 'plisaafdnooaedtrrrcn',\n",
- " 'fahinyopmeordrenlrno',\n",
+ " 'fahinzopmeordrenlrno',\n",
" 'fahnhirpmeraopenlnsr',\n",
- " 'foairoypssondeennrns',\n",
- " 'roamrsfpssnnytrnnsnd',\n",
- " 'faerylipsaheioenseno',\n",
- " 'faaihnypsmoendennrla',\n",
+ " 'foairozpssondeennrns',\n",
+ " 'roamrsfpssnnztrnnsnd',\n",
+ " 'faerzlipsaheioenseno',\n",
+ " 'faaihnzpsmoendennrla',\n",
" 'faaoiropsmhonoennern',\n",
- " 'raarnaspsmnofyrnnnep',\n",
+ " 'raarnaspsmnofzrnnnep',\n",
" 'ranaaajpsrfetnrnnpni',\n",
- " 'pnnftsndnsdwmttaccon',\n",
+ " 'pnnftsndnsdxmttaccon',\n",
" 'pnnhtsndnslamttaccin',\n",
- " 'fnstorypnoceheearaue',\n",
+ " 'fnstorzpnoceheearaue',\n",
" 'gaorasgjtrenmhniaeen',\n",
" 'raonhvopterauoriutsr',\n",
" 'garnuecjtehhtanieacv',\n",
" 'raheltaptatiuiristor',\n",
" 'rahelfrptatidnristoc',\n",
" 'raaalonpftmiohrpinog',\n",
- " 'raahnylpftaoenrpisen',\n",
+ " 'raahnzlpftaoenrpisen',\n",
" 'raahnoapftaoomrpiseg',\n",
" 'raaoisrpfeeemnrpnurn',\n",
" 'friintrppooruvedhrtr',\n",
" 'frsninsppnsoamedtcri',\n",
" 'frhonrrppaerieedsuno',\n",
" 'fiirohrpoeneaeerrnus',\n",
- " 'roaliyrpefneevruprrn',\n",
- " 'foadyhepeloeraeueonp',\n",
+ " 'roalizrpefneevruprrn',\n",
+ " 'foadzhepeloeraeueonp',\n",
" 'foeaasepeatemgeusinn',\n",
" 'foeaastpeatemceusinn',\n",
" 'rreavespeatuhmresirk',\n",
" 'filrtovponphsverrdan',\n",
" 'gaantcrjetevasnniaul',\n",
" 'rlanvrapitruanroitrl',\n",
- " 'raarvylpntvueireivrn',\n",
+ " 'raarvzlpntvueireivrn',\n",
" 'raanntapetroosrniner',\n",
" 'gaahoaujetagernnisfe',\n",
- " 'rlahiylpitahenroisin',\n",
- " 'ftashnapwtnenmeoiela',\n",
- " 'rlaneynpitatehroiivn',\n",
- " 'raaejyfpnfrnetreppon',\n",
+ " 'rlahizlpitahenroisin',\n",
+ " 'ftashnapxtnenmeoiela',\n",
+ " 'rlaneznpitatehroiivn',\n",
+ " 'raaejzfpnfrnetreppon',\n",
" 'farnrlspepriimendnoo',\n",
" 'flientrpionhuheorrar',\n",
" 'flaahcnpistaaseolisl',\n",
" 'foanpospntrrelehitiu',\n",
" 'rlanuvrpntrluarritir',\n",
" 'roakfrfpnfgttsrhpjuh',\n",
- " 'gohyfuvjnreshunhpnrc',\n",
- " 'gohyahfjnrenetnhpnes',\n",
- " 'gohyahfjnrenetnhpnes',\n",
- " 'forynhepsperatendnns',\n",
+ " 'gohzfuvjnreshunhpnrc',\n",
+ " 'gohzahfjnrenetnhpnes',\n",
+ " 'gohzahfjnrenetnhpnes',\n",
+ " 'forznhepsperatendnns',\n",
" 'farrlnopmpacooendlee',\n",
" 'farlahepmposraendsnp',\n",
" 'glroanejnerthgnreaia',\n",
" 'gotnfecjnuedranhrrcp',\n",
" 'flinurrpnohleherraie',\n",
" 'fairoffpmonestenrnur',\n",
- " 'flohdydpneaoeeeruson',\n",
+ " 'flohdzdpneaoeeeruson',\n",
" 'ponfnradsndspstnaccr',\n",
- " 'roamrsfpssnnytrnnsnd',\n",
- " 'roamrsfpssnnytrnnsnd',\n",
- " 'faeryltpsaheiwenseno',\n",
- " 'fartdrypsnneedennrge',\n",
+ " 'roamrsfpssnnztrnnsnd',\n",
+ " 'roamrsfpssnnztrnnsnd',\n",
+ " 'faerzltpsaheixenseno',\n",
+ " 'fartdrzpsnneedennrge',\n",
" 'fartdonpsnnedsennrgs',\n",
- " 'fnstorypnoceheearaue',\n",
+ " 'fnstorzpnoceheearaue',\n",
" 'raalfhspteidcmrinoch',\n",
" 'gaanrfijtnheponieaee',\n",
" 'fanhusiptrahnoeitsct',\n",
" 'frahiltppmaoiuednsro',\n",
" 'rahrnnopfaerodrpsene',\n",
- " 'roaliyrpefneevruprrn',\n",
- " 'foailsopeeoeyoeunrsd',\n",
- " 'roeavtspeatusmrusiry',\n",
- " 'grohosujenrryhnehpad',\n",
+ " 'roalizrpefneevruprrn',\n",
+ " 'foailsopeeoezoeunrsd',\n",
+ " 'roeavtspeatusmrusirz',\n",
+ " 'grohosujenrrzhnehpad',\n",
" 'frlrrolpenppeeeerdru',\n",
" 'rooasahpenflmeruhpln',\n",
" 'gaanhfejnterttneirpr',\n",
" 'raajafapetnftnrniopr',\n",
- " 'raarvylpntvueireivrn',\n",
- " 'gartptfjnerdwtneevto',\n",
+ " 'raarvzlpntvueireivrn',\n",
+ " 'gartptfjnerdxtneevto',\n",
" 'flientrpionhuheorrar',\n",
" 'flareoepispndaeonres',\n",
" 'fharohepempnlaelndhc',\n",
" 'raallrmpftnianrpirol']"
]
},
- "execution_count": 39,
+ "execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 40,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 45,
+ "metadata": {},
"outputs": [
{
"data": {
"[]"
]
},
- "execution_count": 40,
+ "execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 41,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 46,
+ "metadata": {},
"outputs": [],
"source": [
- "def cadenus_break_worker(message, keyword, keycolumn, fitness):\n",
- " message_chunks = chunks(message, 175)\n",
- " plaintext = ''.join(cadenus_decipher(c, keyword, keycolumn) for c in message_chunks)\n",
- " fit = fitness(plaintext)\n",
- " return (keyword, keycolumn), fit"
+ "# def cadenus_break_worker(message, keyword, keycolumn, fitness):\n",
+ "# message_chunks = chunks(message, 175)\n",
+ "# plaintext = ''.join(cadenus_decipher(c, keyword, keycolumn) for c in message_chunks)\n",
+ "# fit = fitness(plaintext)\n",
+ "# return (keyword, keycolumn), fit"
]
},
{
"cell_type": "code",
- "execution_count": 42,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 47,
+ "metadata": {},
"outputs": [],
"source": [
- "def cadenus_break(message, words=keywords, fitness=Pbigrams):\n",
- " c = make_cadenus_keycolumn(reverse=True)\n",
- " results = starmap(cadenus_break_worker, [(message, \n",
- " w, \n",
- " make_cadenus_keycolumn(doubled_letters='vw', start=s, reverse=r), \n",
- " fitness)\n",
- " for w in words for s in string.ascii_lowercase for r in [True, False]])\n",
- " # return list(results)\n",
- " return max(results, key=lambda k: k[1])"
+ "# def cadenus_break(message, words=keywords, fitness=Pbigrams):\n",
+ "# c = make_cadenus_keycolumn(reverse=True)\n",
+ "# results = starmap(cadenus_break_worker, [(message, \n",
+ "# w, \n",
+ "# make_cadenus_keycolumn(doubled_letters='vw', start=s, reverse=r), \n",
+ "# fitness)\n",
+ "# for w in words for s in string.ascii_lowercase for r in [True, False]])\n",
+ "# # return list(results)\n",
+ "# return max(results, key=lambda k: k[1])"
]
},
{
"cell_type": "code",
- "execution_count": 43,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 48,
+ "metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(('finalist',\n",
- " {'a': 6,\n",
- " 'b': 5,\n",
- " 'c': 4,\n",
- " 'd': 3,\n",
- " 'e': 2,\n",
- " 'f': 1,\n",
- " 'g': 0,\n",
- " 'h': 24,\n",
- " 'i': 23,\n",
- " 'j': 22,\n",
- " 'k': 21,\n",
- " 'l': 20,\n",
- " 'm': 19,\n",
- " 'n': 18,\n",
- " 'o': 17,\n",
- " 'p': 16,\n",
- " 'q': 15,\n",
- " 'r': 14,\n",
- " 's': 13,\n",
- " 't': 12,\n",
- " 'u': 11,\n",
- " 'v': 10,\n",
- " 'w': 10,\n",
- " 'x': 9,\n",
- " 'y': 8,\n",
- " 'z': 7}),\n",
- " -5286.197562931952)"
+ " {'a': 3,\n",
+ " 'b': 2,\n",
+ " 'c': 1,\n",
+ " 'd': 0,\n",
+ " 'e': 24,\n",
+ " 'f': 23,\n",
+ " 'g': 22,\n",
+ " 'h': 21,\n",
+ " 'i': 20,\n",
+ " 'j': 19,\n",
+ " 'k': 18,\n",
+ " 'l': 17,\n",
+ " 'm': 16,\n",
+ " 'n': 15,\n",
+ " 'o': 14,\n",
+ " 'p': 13,\n",
+ " 'q': 12,\n",
+ " 'r': 11,\n",
+ " 's': 10,\n",
+ " 't': 9,\n",
+ " 'u': 8,\n",
+ " 'v': 7,\n",
+ " 'w': 7,\n",
+ " 'x': 6,\n",
+ " 'y': 5,\n",
+ " 'z': 4}),\n",
+ " -5436.133070290792)"
]
},
- "execution_count": 43,
+ "execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 44,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 49,
+ "metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "'wledgctftrojhrtheonovoresoovrpanegoarerufofinaltnportiuhertiorafthehasdwarenncompleeeandoastestssoveconlrudedtlsreisnntignfrrrthesinaaltranlicthaaehesecisityseemiceshuneanykhf'"
- ]
- },
- "execution_count": 44,
- "metadata": {},
- "output_type": "execute_result"
+ "ename": "IndexError",
+ "evalue": "string index out of range",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mRemoteTraceback\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;31mRemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n File \"/usr/lib/python3.6/multiprocessing/pool.py\", line 119, in worker\n result = (True, func(*args, **kwds))\n File \"/usr/lib/python3.6/multiprocessing/pool.py\", line 47, in starmapstar\n return list(itertools.starmap(args[0], args[1]))\n File \"/home/neil/Documents/programming/national-cipher-challenge/cipher/cadenus.py\", line 120, in cadenus_break_worker\n plaintext = ''.join(cadenus_decipher(c, keyword, keycolumn) for c in message_chunks)\n File \"/home/neil/Documents/programming/national-cipher-challenge/cipher/cadenus.py\", line 120, in <genexpr>\n plaintext = ''.join(cadenus_decipher(c, keyword, keycolumn) for c in message_chunks)\n File \"/home/neil/Documents/programming/national-cipher-challenge/cipher/cadenus.py\", line 89, in cadenus_decipher\n untransposed_rows = [untranspose(r, transpositions) for r in rows]\n File \"/home/neil/Documents/programming/national-cipher-challenge/cipher/cadenus.py\", line 89, in <listcomp>\n untransposed_rows = [untranspose(r, transpositions) for r in rows]\n File \"/home/neil/Documents/programming/national-cipher-challenge/support/utilities.py\", line 101, in untranspose\n transposed[t] = items[p]\nIndexError: string index out of range\n\"\"\"",
+ "\nThe above exception was the direct cause of the following exception:\n",
+ "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m<ipython-input-49-ef8b0c9b9c63>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mkey8b\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfitness\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcadenus_break\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc8bl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfitness\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mPtrigrams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mkey8b\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfitness\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/Documents/programming/national-cipher-challenge/cipher/cadenus.py\u001b[0m in \u001b[0;36mcadenus_break\u001b[0;34m(message, words, doubled_letters, fitness)\u001b[0m\n\u001b[1;32m 106\u001b[0m start=s, reverse=r), \n\u001b[1;32m 107\u001b[0m fitness)\n\u001b[0;32m--> 108\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mw\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mwords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 109\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ms\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mstring\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mascii_lowercase\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 110\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m/usr/lib/python3.6/multiprocessing/pool.py\u001b[0m in \u001b[0;36mstarmap\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m 272\u001b[0m \u001b[0;31m`\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0mbecomes\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 273\u001b[0m '''\n\u001b[0;32m--> 274\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_map_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstarmapstar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 276\u001b[0m def starmap_async(self, func, iterable, chunksize=None, callback=None,\n",
+ "\u001b[0;32m/usr/lib/python3.6/multiprocessing/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 642\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 644\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 645\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 646\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mIndexError\u001b[0m: string index out of range"
+ ]
}
],
+ "source": [
+ "key8b, fitness = cadenus_break(c8bl, fitness=Ptrigrams)\n",
+ "key8b, fitness"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"cadenus_decipher(first_chunk, key8b[0], key8b[1])"
]
},
{
"cell_type": "code",
- "execution_count": 50,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
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- " ('finalists', 'p', 'pz', True),\n",
- " ('finalists', 'a', 'qr', True),\n",
- " ('finalists', 'q', 'qr', True),\n",
- " ('finalists', 'a', 'qs', True),\n",
- " ('finalists', 'q', 'qs', True),\n",
- " ('finalists', 'a', 'qt', True),\n",
- " ('finalists', 'q', 'qt', True),\n",
- " ('finalists', 'a', 'qu', True),\n",
- " ('finalists', 'q', 'qu', True),\n",
- " ('finalists', 'a', 'qv', True),\n",
- " ('finalists', 'q', 'qv', True),\n",
- " ('finalists', 'a', 'qw', True),\n",
- " ('finalists', 'q', 'qw', True),\n",
- " ('finalists', 'a', 'qx', True),\n",
- " ('finalists', 'q', 'qx', True),\n",
- " ('finalists', 'a', 'qy', True),\n",
- " ('finalists', 'q', 'qy', True),\n",
- " ('finalists', 'a', 'qz', True),\n",
- " ('finalists', 'q', 'qz', True),\n",
- " ('finalists', 'a', 'rs', True),\n",
- " ('finalists', 'r', 'rs', True),\n",
- " ('finalists', 'a', 'rt', True),\n",
- " ('finalists', 'r', 'rt', True),\n",
- " ('finalists', 'a', 'ru', True),\n",
- " ('finalists', 'r', 'ru', True),\n",
- " ('finalists', 'a', 'rv', True),\n",
- " ('finalists', 'r', 'rv', True),\n",
- " ('finalists', 'a', 'rw', True),\n",
- " ('finalists', 'r', 'rw', True),\n",
- " ('finalists', 'a', 'rx', True),\n",
- " ('finalists', 'r', 'rx', True),\n",
- " ('finalists', 'a', 'ry', True),\n",
- " ('finalists', 'r', 'ry', True),\n",
- " ('finalists', 'a', 'rz', True),\n",
- " ('finalists', 'r', 'rz', True),\n",
- " ('finalists', 'a', 'st', True),\n",
- " ('finalists', 's', 'st', True),\n",
- " ('finalists', 'a', 'su', True),\n",
- " ('finalists', 's', 'su', True),\n",
- " ('finalists', 'a', 'sv', True),\n",
- " ('finalists', 's', 'sv', True),\n",
- " ('finalists', 'a', 'sw', True),\n",
- " ('finalists', 's', 'sw', True),\n",
- " ('finalists', 'a', 'sx', True),\n",
- " ('finalists', 's', 'sx', True),\n",
- " ('finalists', 'a', 'sy', True),\n",
- " ('finalists', 's', 'sy', True),\n",
- " ('finalists', 'a', 'sz', True),\n",
- " ('finalists', 's', 'sz', True),\n",
- " ('finalists', 'a', 'tu', True),\n",
- " ('finalists', 't', 'tu', True),\n",
- " ('finalists', 'a', 'tv', True),\n",
- " ('finalists', 't', 'tv', True),\n",
- " ('finalists', 'a', 'tw', True),\n",
- " ('finalists', 't', 'tw', True),\n",
- " ('finalists', 'a', 'tx', True),\n",
- " ('finalists', 't', 'tx', True),\n",
- " ('finalists', 'a', 'ty', True),\n",
- " ('finalists', 't', 'ty', True),\n",
- " ('finalists', 'a', 'tz', True),\n",
- " ('finalists', 't', 'tz', True),\n",
- " ('finalists', 'a', 'uv', True),\n",
- " ('finalists', 'u', 'uv', True),\n",
- " ('finalists', 'a', 'uw', True),\n",
- " ('finalists', 'u', 'uw', True),\n",
- " ('finalists', 'a', 'ux', True),\n",
- " ('finalists', 'u', 'ux', True),\n",
- " ('finalists', 'a', 'uy', True),\n",
- " ('finalists', 'u', 'uy', True),\n",
- " ('finalists', 'a', 'uz', True),\n",
- " ('finalists', 'u', 'uz', True),\n",
- " ('finalists', 'a', 'vw', True),\n",
- " ('finalists', 'v', 'vw', True),\n",
- " ('finalists', 'a', 'vx', True),\n",
- " ('finalists', 'v', 'vx', True),\n",
- " ('finalists', 'a', 'vy', True),\n",
- " ('finalists', 'v', 'vy', True),\n",
- " ('finalists', 'a', 'vz', True),\n",
- " ('finalists', 'v', 'vz', True),\n",
- " ('finalists', 'a', 'wx', True),\n",
- " ('finalists', 'w', 'wx', True),\n",
- " ('finalists', 'a', 'wy', True),\n",
- " ('finalists', 'w', 'wy', True),\n",
- " ('finalists', 'a', 'wz', True),\n",
- " ('finalists', 'w', 'wz', True),\n",
- " ('finalists', 'a', 'xy', True),\n",
- " ('finalists', 'x', 'xy', True),\n",
- " ('finalists', 'a', 'xz', True),\n",
- " ('finalists', 'x', 'xz', True),\n",
- " ('finalists', 'a', 'yz', True),\n",
- " ('finalists', 'y', 'yz', True),\n",
- " ('foulnesss', 'x', 'ov', True)]"
- ]
- },
- "execution_count": 50,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"[(w, s, d1+d2, r)\n",
" for w in hinted_keywords \n",
},
{
"cell_type": "code",
- "execution_count": 55,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 55,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"[(w, s, d1+d2, r, cadenus_decipher(first_chunk, w, \n",
" make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r))[:50])\n",
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": null,
"metadata": {
- "collapsed": false,
"scrolled": true
},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "[('finalist', 'a', 'no', True),\n",
- " ('finalist', 'n', 'no', True),\n",
- " ('finalist', 'a', 'op', True),\n",
- " ('finalist', 'o', 'op', True),\n",
- " ('finalist', 'a', 'pq', True),\n",
- " ('finalist', 'p', 'pq', True),\n",
- " ('finalist', 'a', 'qr', True),\n",
- " ('finalist', 'q', 'qr', True),\n",
- " ('finalist', 'a', 'rs', True),\n",
- " ('finalist', 'r', 'rs', True),\n",
- " ('finalist', 'a', 'st', True),\n",
- " ('finalist', 's', 'st', True),\n",
- " ('finalist', 'a', 'tu', True),\n",
- " ('finalist', 't', 'tu', True),\n",
- " ('finalist', 'a', 'uv', True),\n",
- " ('finalist', 'u', 'uv', True),\n",
- " ('finalist', 'a', 'vw', True),\n",
- " ('finalist', 'v', 'vw', True),\n",
- " ('finalist', 'a', 'wx', True),\n",
- " ('finalist', 'w', 'wx', True),\n",
- " ('finalist', 'a', 'xy', True),\n",
- " ('finalist', 'x', 'xy', True),\n",
- " ('finalist', 'a', 'yz', True),\n",
- " ('finalist', 'y', 'yz', True),\n",
- " ('finality', 'a', 'no', True),\n",
- " ('finality', 'n', 'no', True),\n",
- " ('finality', 'a', 'op', True),\n",
- " ('finality', 'o', 'op', True),\n",
- " ('finality', 'a', 'pq', True),\n",
- " ('finality', 'p', 'pq', True),\n",
- " ('finality', 'a', 'qr', True),\n",
- " ('finality', 'q', 'qr', True),\n",
- " ('finality', 'a', 'rs', True),\n",
- " ('finality', 'r', 'rs', True),\n",
- " ('finality', 'a', 'st', True),\n",
- " ('finality', 's', 'st', True),\n",
- " ('finality', 'a', 'tu', True),\n",
- " ('finality', 't', 'tu', True),\n",
- " ('finality', 'a', 'uv', True),\n",
- " ('finality', 'u', 'uv', True),\n",
- " ('finality', 'a', 'vw', True),\n",
- " ('finality', 'v', 'vw', True),\n",
- " ('finality', 'a', 'wx', True),\n",
- " ('finality', 'w', 'wx', True),\n",
- " ('finality', 'a', 'xy', True),\n",
- " ('finality', 'x', 'xy', True),\n",
- " ('finality', 'a', 'yz', True),\n",
- " ('finality', 'y', 'yz', True),\n",
- " ('finalists', 'a', 'no', True),\n",
- " ('finalists', 'n', 'no', True),\n",
- " ('finalists', 'a', 'op', True),\n",
- " ('finalists', 'o', 'op', True),\n",
- " ('finalists', 'a', 'pq', True),\n",
- " ('finalists', 'p', 'pq', True),\n",
- " ('finalists', 'a', 'qr', True),\n",
- " ('finalists', 'q', 'qr', True),\n",
- " ('finalists', 'a', 'rs', True),\n",
- " ('finalists', 'r', 'rs', True),\n",
- " ('finalists', 'a', 'st', True),\n",
- " ('finalists', 's', 'st', True),\n",
- " ('finalists', 'a', 'tu', True),\n",
- " ('finalists', 't', 'tu', True),\n",
- " ('finalists', 'a', 'uv', True),\n",
- " ('finalists', 'u', 'uv', True),\n",
- " ('finalists', 'a', 'vw', True),\n",
- " ('finalists', 'v', 'vw', True),\n",
- " ('finalists', 'a', 'wx', True),\n",
- " ('finalists', 'w', 'wx', True),\n",
- " ('finalists', 'a', 'xy', True),\n",
- " ('finalists', 'x', 'xy', True),\n",
- " ('finalists', 'a', 'yz', True),\n",
- " ('finalists', 'y', 'yz', True)]"
- ]
- },
- "execution_count": 52,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"[(w, s, d1+chr(ord(d1)+1), r)\n",
" for w in hinted_keywords \n",
},
{
"cell_type": "code",
- "execution_count": 53,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'phasennrkmffnhignsdaaojsrcisrncheentoeetueweisvhsounsucoaleyrhreitdioseotototdhsoagreeysifaglenhtlhonriuelseairscnrteameteiwnntneefefcrartataieposrlandrlvtartalvhctofnorehdpro'"
- ]
- },
- "execution_count": 53,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"cadenus_decipher(first_chunk, 'filbert', make_cadenus_keycolumn(doubled_letters='lu', start='m', reverse=False))"
]
},
{
"cell_type": "code",
- "execution_count": 54,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanes']"
- ]
- },
- "execution_count": 54,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
"source": [
"chunks(first_chunk, 175)"
]
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "collapsed": false
- },
+ "metadata": {},
"outputs": [],
"source": []
}
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.4.3"
+ "version": "3.6.3"
}
},
"nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
}
projects / cipher-tools.git / blobdiff