{
"metadata": {
"name": "",
- "signature": "sha256:e375a3faf5213c9f51d99f7c22948b1a55e592a6d8b6156a30b0fb490ea337a1"
+ "signature": "sha256:552bea7734ea4d4e21f21be2dca0f09009e1c1eb9a767ab8c6c8097144b76db4"
},
"nbformat": 3,
"nbformat_minor": 0,
"language": "python",
"metadata": {},
"outputs": [],
- "prompt_number": 9
+ "prompt_number": 1
},
{
"cell_type": "code",
"output_type": "pyout",
"prompt_number": 2,
"text": [
- "<matplotlib.axes.AxesSubplot at 0x7fe302243fd0>"
+ "<matplotlib.axes.AxesSubplot at 0x7f2de7d75e10>"
]
},
{
"metadata": {},
"output_type": "display_data",
- "png": 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8t6ulZdPJtO0b/rb51H+o7RyTO8bmtS1vm5H4GWgnm6SO4VTgReBJt90NrAd2AOuArljZ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\nYaJNwEWYzgCw1K3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"text": [
- "<matplotlib.figure.Figure at 0x7fe32d0cc0f0>"
+ "<matplotlib.figure.Figure at 0x7f2e1c1ae978>"
]
}
],
"output_type": "pyout",
"prompt_number": 3,
"text": [
- "<matplotlib.axes.AxesSubplot at 0x7fe301119be0>"
+ "<matplotlib.axes.AxesSubplot at 0x7f2de514fba8>"
]
},
{
"metadata": {},
"output_type": "display_data",
- "png": 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"text": [
- "<matplotlib.figure.Figure at 0x7fe301154198>"
+ "<matplotlib.figure.Figure at 0x7f2de5155a58>"
]
}
],
{
"metadata": {},
"output_type": "pyout",
- "prompt_number": 12,
+ "prompt_number": 7,
"text": [
"875.0"
]
}
],
- "prompt_number": 12
+ "prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
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+ " 18,\n",
+ " 1,\n",
+ " 11,\n",
+ " 4,\n",
+ " 0,\n",
+ " 4,\n",
+ " 4,\n",
+ " 19,\n",
+ " 11,\n",
+ " 8,\n",
+ " 18,\n",
+ " 8,\n",
+ " 17,\n",
+ " 19,\n",
+ " 22,\n",
+ " 19,\n",
+ " 20,\n",
+ " 17,\n",
+ " 15,\n",
+ " 5,\n",
+ " 0,\n",
+ " 8,\n",
+ " 11,\n",
+ " 19,\n",
+ " 4,\n",
+ " 0,\n",
+ " 14,\n",
+ " 4,\n",
+ " 5,\n",
+ " 4,\n",
+ " 8,\n",
+ " 18,\n",
+ " 8,\n",
+ " 8,\n",
+ " 8,\n",
+ " 24,\n",
+ " 8,\n",
+ " 18,\n",
+ " 8,\n",
+ " 10,\n",
+ " 21,\n",
+ " 19,\n",
+ " 22,\n",
+ " 8,\n",
+ " 18,\n",
+ " 15,\n",
+ " 17,\n",
+ " 1,\n",
+ " 18,\n",
+ " 8,\n",
+ " 13,\n",
+ " 4,\n",
+ " 11,\n",
+ " 15,\n",
+ " 7,\n",
+ " 17,\n",
+ " 12,\n",
+ " 14,\n",
+ " 7,\n",
+ " 8,\n",
+ " 0,\n",
+ " 6,\n",
+ " 13,\n",
+ " 11,\n",
+ " 18,\n",
+ " 11,\n",
+ " 21,\n",
+ " 8,\n",
+ " 19,\n",
+ " 14,\n",
+ " 3,\n",
+ " 0,\n",
+ " 8,\n",
+ " 18,\n",
+ " 3,\n",
+ " 15,\n",
+ " 13,\n",
+ " 24,\n",
+ " 3,\n",
+ " 3,\n",
+ " 2,\n",
+ " 0,\n",
+ " 0,\n",
+ " 14,\n",
+ " 19,\n",
+ " 0,\n",
+ " 7,\n",
+ " 2,\n",
+ " 4,\n",
+ " 7,\n",
+ " 19,\n",
+ " 20,\n",
+ " 4,\n",
+ " 8,\n",
+ " 17,\n",
+ " 17,\n",
+ " 4,\n",
+ " 3,\n",
+ " 0,\n",
+ " 4,\n",
+ " 2,\n",
+ " 19,\n",
+ " 14,\n",
+ " 18,\n",
+ " 13,\n",
+ " 17,\n",
+ " 7,\n",
+ " 21,\n",
+ " 13,\n",
+ " 0,\n",
+ " 14,\n",
+ " 3,\n",
+ " 14,\n",
+ " 8,\n",
+ " 10,\n",
+ " 14,\n",
+ " 4,\n",
+ " 19,\n",
+ " 2,\n",
+ " 8,\n",
+ " 13,\n",
+ " 4,\n",
+ " 13,\n",
+ " 4,\n",
+ " 20,\n",
+ " 17,\n",
+ " 17,\n",
+ " 8,\n",
+ " 18,\n",
+ " 3,\n",
+ " 2,\n",
+ " 14,\n",
+ " 20,\n",
+ " 17,\n",
+ " 0,\n",
+ " 6,\n",
+ " 11,\n",
+ " 21,\n",
+ " 8,\n",
+ " 12,\n",
+ " 12,\n",
+ " 20,\n",
+ " 15,\n",
+ " 15,\n",
+ " 3,\n",
+ " 8,\n",
+ " 19,\n",
+ " 4,\n",
+ " 0,\n",
+ " 13,\n",
+ " 3,\n",
+ " 8,\n",
+ " 19,\n",
+ " 12,\n",
+ " 0,\n",
+ " 0,\n",
+ " 8,\n",
+ " 0,\n",
+ " 8,\n",
+ " 4,\n",
+ " 11,\n",
+ " 4,\n",
+ " 14,\n",
+ " 13,\n",
+ " 13,\n",
+ " 17,\n",
+ " 4,\n",
+ " 4,\n",
+ " 3,\n",
+ " 0,\n",
+ " 14,\n",
+ " 3,\n",
+ " 1,\n",
+ " 14,\n",
+ " 8,\n",
+ " 20,\n",
+ " 12,\n",
+ " 4,\n",
+ " 11,\n",
+ " 17,\n",
+ " 14,\n",
+ " 19,\n",
+ " 13,\n",
+ " 19,\n",
+ " 19,\n",
+ " 19,\n",
+ " 6,\n",
+ " 8,\n",
+ " 19,\n",
+ " 13,\n",
+ " ...]"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "min([(int(c, 2)) for c in chunks(c8b, 5)])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 10,
+ "text": [
+ "0"
+ ]
+ }
+ ],
+ "prompt_number": 10
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "max([chr(int(c, 2) + ord('a')) for c in chunks(c8b, 5)])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 11,
+ "text": [
+ "'y'"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def cadenus_letter(n, doubled='v'):\n",
+ " letter = chr(n + ord('a'))\n",
+ " if letter > doubled:\n",
+ " letter = chr(n + ord('a') + 1)\n",
+ " return letter"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 12
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c8bl = ''.join([cadenus_letter(int(c, 2)) for c in chunks(c8b, 5)])\n",
+ "c8bl"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 13,
+ "text": [
+ "'afcaeuottacthrioletcserthshtrahkzorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstxientrvoonerhuahravereetsvsielhlostdoalozaesmnndignnrhohhtsnaoilncnssicreanneeiiierxtanesrvogieizxssdgpvoiaisaoaeoaedrnitrnyeigrpsshadhdtoipaateyennesagrobtlesrnroirzpbgedcllixalaleenigrrnxzrlimlpstoleftrdmuarieeeiiaolnexsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtexfarnhebleaotohtttepnckaonhxetmvzprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfysoaotctbbsoeirnsadlztrrunrceptthreuhnktaceceelrxnireeeaeseeeidisogceomnrtejhagabsenitlxtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnzpaidziegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefzhlonxhaeeeeosneezaneisetogziterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseizclsiantaoltcizmidentthltndytttmasbleaeetlisirtxturpfailteaoefeisiiizisikvtxisprbsinelphrmohiagnlslvitodaisdpnzddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoznalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghznxeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeemrpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlonahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda'"
+ ]
+ }
+ ],
+ "prompt_number": 13
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "min(c8bl), max(c8bl)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 14,
+ "text": [
+ "('a', 'z')"
+ ]
+ }
+ ],
+ "prompt_number": 14
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "len(c8bl), len(c8bl) / 25"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ "(1400, 56.0)"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "freqs_8b = pd.Series(collections.Counter([l.lower() for l in c8bl if l in string.ascii_letters]))\n",
+ "freqs_8b.plot(kind='bar')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 16,
+ "text": [
+ "<matplotlib.axes.AxesSubplot at 0x7f2de5006ba8>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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+ "text": [
+ "<matplotlib.figure.Figure at 0x7f2de5006198>"
+ ]
+ }
+ ],
+ "prompt_number": 16
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "freqs = pd.Series(english_counts)\n",
+ "freqs.plot(kind='bar')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 17,
+ "text": [
+ "<matplotlib.axes.AxesSubplot at 0x7f2de80f8a90>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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aiBBCtJ9eeHdM5EH0Ut2+l+Yi0pH3Gnze599O9FtMQgghvMlpgiilVwRah+yluYSqCTUu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\nTkSuQmCC\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7f2de4f43eb8>"
+ ]
+ }
+ ],
+ "prompt_number": 17
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "rows = chunks(c8bl, len(c8bl) // 25)\n",
+ "rows"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 18,
"text": [
- "b'\\x01D\\x02Q\\xd3\\x98\\x053\\xc5\\x0eY&)\\x123<\\x8f8\\x80\\xea\\xc3\\xa2\\xf2\\xc4\\xc4p\\x06\\xf7\\xa5\\xa6\\\\\\xc9\\x16\\x90\\xa4qP\\xe8\\xceC\\x1b\\x88J2B\\x8d\\t\\x16\\x94\\x93X\\x00YN\\xc8#g\\x1a\\xb9\\xcd$O@\\x1e \\xa9\"BNU\\x92\\x08\\xb3\\xad\\xd2\\x98\\xdc\\x05\\xbb\\x00$\\x98\\xd6\\x8d\\x06kbw\\x1c\\xf3\\x93@\\xe4-\\xa2l\\xa4\\x81D\\x80kHD!\\x04\\x8d\\xa6\\x06\\x92Q\\xab\\x8c\\x82#\\x16\\x94\\x86g\\xd5\\xc8\\x02$\\x07\\x00\\x8e\\x01\\x07\\x16\\xa2qm\\xc8\\x83E\\xf2\\x91\\xc03\\x8enC\\xc0\\t\\x92\\xe4kI \\x1a.\\x0c\\xd6IE\\xb1r#\\x87\\x84\\xc4\\x18\\x96\\xb4X\\x0b\\x02\\xc8F\\xa0\\xd1\\x8bm\\x88\\xad\\x0c[\\xe57,\\x85\\x9cF\\xca\\x02(!\\x08\\x84\\x01\\xcbi- 8\\xf1\\x9a\\xe57\\x04\\x93l\\x97R\\xa2\\xa3uf\\xf7\\x00\\x84D\\x84\\x87\\x1d\\x0f\\x91*B\\x0ed\\xb1A\\x16\\x9c\\x81Y\\x00\\xe9\\xb8\\xf3\\x9c\\xc8\\xf6\\x89@sObM\\x95\\xc3\\xe3\\x129\\xad\\x04\\x8c2\\r\\xc4!\\x1c\\x002b@\\xa74\\x15\\xa0\\x1cI(\\xceD\\x8b\\xa4I\\xc4\\xe2@\\xa6\\xf9\\x00\\x04:\\xc6y\\x16\\xf2p\\x1d1L!\\x93\\x88\\x88\\xb6@\\x1a\\xf18\\xc6\\x8d\\x88\\x88\\xf9\\xcc\\xf1%\\x0e\\xd5L\\x02 \\x88E\\xc6\\xcdDHB\\x00\\x92!\\x08\\x81\\xa2N0\\x88\\xe663\"N\\x03\\x002#Q5\\xdaqhX\\x82.@\\x89&IE\\xa6\\x93N@\\xa1\\xd2\\x1a\\x08\\xd0\\x15dD\\x80w\\t\\x05%XPL\\r\\x04\\xe2\\xd4\\x00\\xcd8&\\xd6 -E\\nF\\xc6n\\x9c\\xe2\\xdc<\\x08\\x1e\\x10C\\r\\xac$Nt:q$\\xc4IH\\x88X\\xe2\\x11\\x11\\xf1A\\x80I8\\x03\\\\\\xc0t\\x12\\xa4\\x0cDF\\xac\\x95\\x04\\x806\\xb6gi\\x112!\\x12\\x01\\xe8s\\xd0\\x0csH\\\\\\x1dnm\\x8e\\x02\\x10\\x84t\\x9aB`\\r\"$I\\xb8\\xd8D\\xc9\\x15\\xa0\\xf3\\x13\\x10\\xe4D\\x11(\\xdcI\\xb5\\x07\\x9bHt!@dF\\xc6\\x80`h\\x1c9\\x12DF\\x04\\xb9 \\r\\x98\\x1c\\xb9\\x89\\x18b\\x06F\\xceg\\\\\\xda;\\xces`$\\x15\\x90\\x04$\\xd6\\x89\"3\\xb4\\xe9\\x17\\x94\\x08\\\\\\xc8\\x07\\x10\\xa4D\\x90\\x84a\\x12B\\xab;\"O\\x88d\\x86\\x91o<X\\xe3\\xa0\\x06j\\xe4\\xba\\xa2n\\x18\\x11!\\xbd\\xb8\\x18\\xc4\\x00:`8\\x88y\\xd0\\x88\\x8cH0\\x10St\\x9b\\x13\\xd5\\xa0p\\xdc\\x858\\x93\\x12\\x1aF\\x92\\x91\\x8a$1:\\x91\\x01\\x97T1\\x94{\\xc6\\x89\\x90\\r\\x1a&\\xc0\\x01\\x00A\\x16G5\\xb1!\\x06\\x07\\x0c.E\\x18E\\xc5\\xd3l\\xe73\"m\\x8a\\xe2\\x825\\xa8R\\xf1\\'\\x1aS\\x12\\x0b\\x87\\xa1\\xf5@\\xeb)1\\xa2\"\\x01$\"rkH\\t\\xa2ndN\\x16\\x9d\\xa8\\x1b\\xe2\\xb8\\x91\\xee\\xc3@\\xb96\\xb2\\x1b\\xa4\\x06\\x92H\\x99@F\\xaefp\\xc19\\x90\\x80D\\x90(\\xb9\\xd3d\\x98S\\x82\\x84j##\\x1f\\r\\xb1\\x10\\xd9\\x90\\xce\\x1a\\x10\\xb2\\x10s\\x04Z\\xe9D@\\x01\\x1a9\\x8a\\x93\\x99G\\x10\\x90\\xf3aQ7:#\\x8d\\x10\\x07`\\x00k\\x88E\\x8d\\xc8i\\xe9#\"d\\x03\\xa2\\x82\\x08\\x95#\\x1b8\\x82l\\x99^J\\n\\x93\\x01\\xc0\\xc9\\xb4\\x96sP!\\x90\\x8c\\x8b\\xc0\\xe5\\xa2n\\x01I\\':RyZ\\xb6\\x90\\x8et\\xc0#\\xadh\\x8c\\xa5y8\\xaf\\x19fX\\xb5\\xf1\\x01\\x08\\x0c-\\xcd\\x01\\xc1I\\xb6bl\\xc4\\x10Yni\\x0b7\\x02d\\x15]a\\xae\\xd5kHA\\xcd\\x08r\\r2\\x19\\x93\\x01\\xc8@L\\x85\\x00\\x08\\xf8\\xc4Qt\\x8eBF/\\x02\\xc84\\x11\\xa6@\\xe3\\x12:\\x87\\xa9%H\\xbb\\x13l\\x9d$6\\x88\\xa2\\x1cW\\xc4`'"
+ "['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",
+ " 'klzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n",
+ " 'znalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghzn',\n",
+ " 'xeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaa',\n",
+ " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeem',\n",
+ " 'rpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlon',\n",
+ " 'ahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatef',\n",
+ " 'aaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda']"
]
}
],
"cell_type": "code",
"collapsed": false,
"input": [
- "bytes([(int(c, 2)) for c in chunks(c8b, 8)]).decode('utf-8', 'replace')"
+ "chunks(''.join([l if l in 'phase' else '.' for l in c8bl]), 56)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 19,
+ "text": [
+ "['a..ae....a..h....e..se..hsh..ah....p...e.a.pp.....e..e.e',\n",
+ " '......s...ee..s...e...e..aa.s...e.......e.h.ah.a.e.ee.s.',\n",
+ " 's.e.h..s...a...aes.........h.hh.s.a......ss...ea..ee...e',\n",
+ " '...a.es.....e...ss..p...a.sa.ae.ae........e...pssha.h...',\n",
+ " '.paa.e.e..esa......es.......p..e......a.a.ee............',\n",
+ " '.ps...e......a..eee..a...e.sa.h...s...e..s.........p.aee',\n",
+ " '.s...h.pse.ee..e..a..he..ea...h...ep...a..h.e....p..e...',\n",
+ " 'as..e..eee.aa..........a..es..se..se..h....psaaeh..hs..s',\n",
+ " '.a......s.e...sa..........ep..h.e.h...a.e.ee......eeeaes',\n",
+ " 'eee...s...e.....e.ha.a.se...........e.sa.e.es...s.he...s',\n",
+ " '..e.a..e.sah....e...a.a.a....a..ha.........e.........pa.',\n",
+ " '...e....e.hh....e..esse......ep...aes.a...ah.e.e...e..e.',\n",
+ " 'asa....h.e..e..sah.hh.a...e..h....haeeee.s.ee.a.e.se....',\n",
+ " '..e...h.......a....e...h..eh...a.....a.a.a..sese....s.a.',\n",
+ " '.a.........e...h.........as..eaee...s.......p.a...ea.e.e',\n",
+ " '.s.....s......sp..s..e.ph...h.a...s......a.s.p.....aa..a',\n",
+ " 'h.eh..e...e.ae...s..h..a......e....e.e....s.....a.......',\n",
+ " 'pp...ea.....aa.a.e.e....ee.a.......e................e...',\n",
+ " '...s..s.....p.p....ss...e.as...s..ea......h..h...p...ep.',\n",
+ " '..a.s..s..sa.es...ae......a..eea.s.......s..ha.e...s.h..',\n",
+ " '.e...e......ee..a...s..aae...........eh............a..aa',\n",
+ " '..ee.....h.s...ea...e.e.e....a....pe....aha...e......ee.',\n",
+ " '.pa.....a.es..ssp....ee...a.h....ss.s..p......p.aeea....',\n",
+ " 'aha.........a....e...a.e..........ee........e...aheea.e.',\n",
+ " 'aaep.....shee..pa.e..e......e..h.es......s.s........p..a']"
+ ]
+ }
+ ],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "columns = [''.join(c) for c in zip(*rows)]\n",
+ "columns"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 20,
+ "text": [
+ "['aosriliaoeddaitihpkzxnraa',\n",
+ " 'ffixppssaeizstascplneopha',\n",
+ " 'cietascgoeeiaeoiedzaieaae',\n",
+ " 'aolaatidtinedrlihislneoup',\n",
+ " 'erhntooecdagnltittostlltr',\n",
+ " 'utleelhdtifdniczuegnedinr',\n",
+ " 'ososyeiobslnthiieasvgottc',\n",
+ " 'tdsrefpeboemhtzsintsoiocr',\n",
+ " 'tdtvntsesgiencmirdcddnano',\n",
+ " 'aodonreeocsremikriioihfts',\n",
+ " 'ceogedvoeeahiidvetfsiuech',\n",
+ " 'teaismeaiohhtoetdmzalssbe',\n",
+ " 'huleauearmoieinxaapnegoae',\n",
+ " 'rmoigadmnncoirtieaieeioxr',\n",
+ " 'iszzrrttsritiatscipsdtslr',\n",
+ " 'ocaxoiecatfrsrhptavitesop',\n",
+ " 'lresbexideeeaflroiitaapna',\n",
+ " 'eusstefcljvthdtbsedfrofel',\n",
+ " 'temdleatzhmcuonsnlvanrnfe',\n",
+ " 'crngeirttafehedireseoiltd',\n",
+ " 'snnpsinirgashtynhosnsenoi',\n",
+ " 'efdvrahfratsuntevnmlrceae',\n",
+ " 'reionoenubaeaitlnnntceetn',\n",
+ " 'ttgirlbansnimhtparcgavoeg',\n",
+ " 'hlnaonldrealotmhoeeoaeoci',\n",
+ " 'saniieercntdnnardeidemtvd',\n",
+ " 'harsrxaeeirreesmodaannaor',\n",
+ " 'tfhazsosptnbfhboiastdtcxr',\n",
+ " 'rsoopatrtliczilhkoittrhde',\n",
+ " 'athaboottxaehieiodiecallo',\n",
+ " 'hxheghhshtgplkaaebteutlxu',\n",
+ " 'kitoerterrnroaegtosatmivh',\n",
+ " 'zesadttrenhinmencinittrnv',\n",
+ " 'onnecltoubagxrtliunsffsne',\n",
+ " 'rtadlseshmtahdlsnmeidpses',\n",
+ " 'prorltpenineamileeacreyeu',\n",
+ " 'fviniontkemsensvnltrbusdr',\n",
+ " 'rolixbcrtlioeaiierioecoto',\n",
+ " 'gontaekhasbaedrtuotohufiz',\n",
+ " 'encrltaccandeatortotttpit',\n",
+ " 'oennanoierilonxdrnmmmadon',\n",
+ " 'arsylsncceutsataitrsfhfis',\n",
+ " 'dhseelhtetfanouisthmiatgo',\n",
+ " 'puiievxpeeehedrsdtbftmfts',\n",
+ " 'pacgnfeslsniespdcgnhotrei',\n",
+ " 'jhrriitarrrezefpoihaonngn',\n",
+ " 'nrepgvmaxntvasanutnurepmu',\n",
+ " 'gaasrdvengoeneizrniedxrti',\n",
+ " 'lvnsrozhistbeildardnroaau',\n",
+ " 'tenhnvplrntriztdglpiunehi',\n",
+ " 'ereaxtrdehrcsceclrrriieeo',\n",
+ " 'reedzprheeneelaavilsacaef',\n",
+ " 'neihroesebzntsoaiergodzap',\n",
+ " 'etidlaofaiploieomnehzeltr',\n",
+ " 'fsitienyeoaegaftmnpzaeoed',\n",
+ " 'eveomensssivzneauionamnfa']"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "letter_positions = {letter: [(r, c) for r, row in enumerate(rows) for c, char in enumerate(row) if char == letter] for letter in 'phaseeight'}\n",
+ "letter_positions"
],
"language": "python",
"metadata": {},
{
"metadata": {},
"output_type": "pyout",
- "prompt_number": 25,
+ "prompt_number": 21,
"text": [
- "'\\x01D\\x02Q\u04d8\\x053\ufffd\\x0eY&)\\x123<\ufffd8\ufffd\ufffd\u00e2\ufffd\ufffd\ufffdp\\x06\ufffd\ufffd\ufffd\\\\\ufffd\\x16\ufffd\ufffdqP\ufffd\ufffdC\\x1b\ufffdJ2B\ufffd\\t\\x16\ufffd\ufffdX\\x00YN\ufffd#g\\x1a\ufffd\ufffd$O@\\x1e \ufffd\"BNU\ufffd\\x08\ufffd\ufffd\u0498\ufffd\\x05\ufffd\\x00$\ufffd\\u058d\\x06kbw\\x1c\ufffd@\ufffd-\ufffdl\ufffd\ufffdD\ufffdkHD!\\x04\ufffd\ufffd\\x06\ufffdQ\ufffd\ufffd\ufffd#\\x16\ufffd\ufffdg\ufffd\ufffd\\x02$\\x07\\x00\ufffd\\x01\\x07\\x16\ufffdqm\u0203E\ufffd\ufffd3\ufffdnC\ufffd\\t\ufffd\ufffdkI \\x1a.\\x0c\ufffdIE\ufffdr#\ufffd\ufffd\ufffd\\x18\ufffd\ufffdX\\x0b\\x02\ufffdF\ufffd\u044bm\ufffd\ufffd\\x0c[\ufffd7,\ufffd\ufffdF\ufffd\\x02(!\\x08\ufffd\\x01\ufffdi- 8\ufffd\ufffd7\\x04\ufffdl\ufffdR\ufffd\ufffduf\ufffd\\x00\ufffdD\ufffd\ufffd\\x1d\\x0f\ufffd*B\\x0ed\ufffdA\\x16\ufffd\ufffdY\\x00\ufffd\ufffd\ufffd\ufffd\ufffd@sObM\ufffd\ufffd\ufffd\\x129\ufffd\\x04\ufffd2\\r\ufffd!\\x1c\\x002b@\ufffd4\\x15\ufffd\\x1cI(\ufffdD\ufffd\ufffdI\ufffd\ufffd@\ufffd\ufffd\\x00\\x04:\ufffdy\\x16\ufffdp\\x1d1L!\ufffd\ufffd\ufffd\ufffd@\\x1a\ufffd8\u018d\ufffd\ufffd\ufffd\ufffd\ufffd%\\x0e\ufffdL\\x02 \ufffdE\ufffd\ufffdDHB\\x00\ufffd!\\x08\ufffd\ufffdN0\ufffd\ufffd63\"N\\x03\\x002#Q5\ufffdqhX\ufffd.@\ufffd&IE\ufffd\ufffdN@\ufffd\ufffd\\x1a\\x08\ufffd\\x15dD\ufffdw\\t\\x05%XPL\\r\\x04\ufffd\ufffd\\x00\ufffd8&\ufffd -E\\nF\ufffdn\ufffd\ufffd\ufffd<\\x08\\x1e\\x10C\\r\ufffd$Nt:q$\ufffdIH\ufffdX\ufffd\\x11\\x11\ufffdA\ufffdI8\\x03\\\\\ufffdt\\x12\ufffd\\x0cDF\ufffd\ufffd\\x04\ufffd6\ufffdgi\\x112!\\x12\\x01\ufffds\ufffd\\x0csH\\\\\\x1dnm\ufffd\\x02\\x10\ufffdt\ufffdB`\\r\"$I\ufffd\ufffdD\ufffd\\x15\ufffd\ufffd\\x13\\x10\ufffdD\\x11(\ufffdI\ufffd\\x07\ufffdHt!@dF\u0180`h\\x1c9\\x12DF\\x04\ufffd \\r\ufffd\\x1c\ufffd\ufffd\\x18b\\x06F\ufffdg\\\\\ufffd;\ufffds`$\\x15\ufffd\\x04$\u0589\"3\ufffd\ufffd\\x17\ufffd\\x08\\\\\ufffd\\x07\\x10\ufffdD\ufffd\ufffda\\x12B\ufffd;\"O\ufffdd\ufffd\ufffdo<X\ufffd\\x06j\u4ea2n\\x18\\x11!\ufffd\ufffd\\x18\ufffd\\x00:`8\ufffdy\u0408\ufffdH0\\x10St\ufffd\\x13\\u0560p\u07058\ufffd\\x12\\x1aF\ufffd\ufffd\ufffd$1:\ufffd\\x01\ufffdT1\ufffd{\u0189\ufffd\\r\\x1a&\ufffd\\x01\\x00A\\x16G5\ufffd!\\x06\\x07\\x0c.E\\x18E\ufffd\ufffdl\ufffd3\"m\ufffd\ufffd5\ufffdR\ufffd\\'\\x1aS\\x12\\x0b\ufffd\ufffd\ufffd@\ufffd)1\ufffd\"\\x01$\"rkH\\t\ufffdndN\\x16\ufffd\ufffd\\x1b\u2e11\ufffd\ufffd@\ufffd6\ufffd\\x1b\ufffd\\x06\ufffdH\ufffd@F\ufffdfp\ufffd9\ufffd\ufffdD\ufffd(\ufffd\ufffdd\ufffdS\ufffd\ufffdj##\\x1f\\r\ufffd\\x10\u0650\ufffd\\x1a\\x10\ufffd\\x10s\\x04Z\ufffdD@\\x01\\x1a9\ufffd\ufffd\ufffdG\\x10\ufffd\ufffdaQ7:#\ufffd\\x10\\x07`\\x00k\ufffdE\ufffd\ufffdi\ufffd#\"d\\x03\ufffd\ufffd\\x08\ufffd#\\x1b8\ufffdl\ufffd^J\\n\ufffd\\x01\ufffd\u0274\ufffdsP!\ufffd\ufffd\ufffd\ufffd\ufffdn\\x01I\\':RyZ\ufffd\ufffd\ufffdt\ufffd#\ufffdh\ufffd\ufffdy8\ufffd\\x19fX\ufffd\ufffd\\x01\\x08\\x0c-\ufffd\\x01\ufffdI\ufffdbl\ufffd\\x10Yni\\x0b7\\x02d\\x15]a\ufffd\ufffdkHA\ufffd\\x08r\\r2\\x19\ufffd\\x01\ufffd@L\ufffd\\x00\\x08\ufffd\ufffdQt\ufffdBF/\\x02\ufffd4\\x11\ufffd@\ufffd\\x12:\ufffd\ufffd%H\ufffd\\x13l\ufffd$6\ufffd\ufffd\\x1cW\ufffd`'"
+ "{'h': [(0, 12),\n",
+ " (0, 24),\n",
+ " (0, 26),\n",
+ " (0, 30),\n",
+ " (1, 42),\n",
+ " (1, 45),\n",
+ " (2, 4),\n",
+ " (2, 27),\n",
+ " (2, 29),\n",
+ " (2, 30),\n",
+ " (3, 49),\n",
+ " (3, 52),\n",
+ " (5, 30),\n",
+ " (6, 5),\n",
+ " (6, 21),\n",
+ " (6, 30),\n",
+ " (6, 42),\n",
+ " (7, 38),\n",
+ " (7, 48),\n",
+ " (7, 51),\n",
+ " (8, 30),\n",
+ " (8, 34),\n",
+ " (9, 18),\n",
+ " (9, 50),\n",
+ " (10, 11),\n",
+ " (10, 32),\n",
+ " (11, 10),\n",
+ " (11, 11),\n",
+ " (11, 43),\n",
+ " (12, 7),\n",
+ " (12, 17),\n",
+ " (12, 19),\n",
+ " (12, 20),\n",
+ " (12, 29),\n",
+ " (12, 34),\n",
+ " (13, 6),\n",
+ " (13, 23),\n",
+ " (13, 27),\n",
+ " (14, 15),\n",
+ " (15, 24),\n",
+ " (15, 28),\n",
+ " (16, 0),\n",
+ " (16, 3),\n",
+ " (16, 20),\n",
+ " (18, 42),\n",
+ " (18, 45),\n",
+ " (19, 44),\n",
+ " (19, 53),\n",
+ " (20, 38),\n",
+ " (21, 9),\n",
+ " (21, 41),\n",
+ " (22, 28),\n",
+ " (23, 1),\n",
+ " (23, 49),\n",
+ " (24, 10),\n",
+ " (24, 31)],\n",
+ " 'e': [(0, 4),\n",
+ " (0, 17),\n",
+ " (0, 21),\n",
+ " (0, 39),\n",
+ " (0, 50),\n",
+ " (0, 53),\n",
+ " (0, 55),\n",
+ " (1, 10),\n",
+ " (1, 11),\n",
+ " (1, 18),\n",
+ " (1, 22),\n",
+ " (1, 32),\n",
+ " (1, 40),\n",
+ " (1, 49),\n",
+ " (1, 51),\n",
+ " (1, 52),\n",
+ " (2, 2),\n",
+ " (2, 16),\n",
+ " (2, 46),\n",
+ " (2, 50),\n",
+ " (2, 51),\n",
+ " (2, 55),\n",
+ " (3, 5),\n",
+ " (3, 12),\n",
+ " (3, 30),\n",
+ " (3, 33),\n",
+ " (3, 42),\n",
+ " (4, 5),\n",
+ " (4, 7),\n",
+ " (4, 10),\n",
+ " (4, 19),\n",
+ " (4, 31),\n",
+ " (4, 42),\n",
+ " (4, 43),\n",
+ " (5, 6),\n",
+ " (5, 16),\n",
+ " (5, 17),\n",
+ " (5, 18),\n",
+ " (5, 25),\n",
+ " (5, 38),\n",
+ " (5, 54),\n",
+ " (5, 55),\n",
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}
],
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+ "prompt_number": 21
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{
"cell_type": "code",
"collapsed": false,
"input": [
- "bytes([(int(c, 2)) for c in chunks(c8b, 8)]).decode('utf_32', 'replace')"
+ "solutions = [[p] for p in letter_positions['p']]\n",
+ "for letter in 'has': #'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",
+ " new_solutions += [solution + [position]]\n",
+ " solutions = new_solutions\n",
+ "len(solutions)"
],
"language": "python",
"metadata": {},
{
"metadata": {},
"output_type": "pyout",
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+ "prompt_number": 24,
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+ "17639131"
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}
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"cell_type": "code",
"input": [],
"language": "python",
"metadata": {},
- "outputs": []
+ "outputs": [],
+ "prompt_number": 22
}
],
"metadata": {}
--- /dev/null
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:c52a83147f45ed889200fe19a5d4ec4422e884758e7d8a11536fbaafa6c627ee"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+ {
+ "cells": [
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import matplotlib.pyplot as plt\n",
+ "import pandas as pd\n",
+ "import collections\n",
+ "import string\n",
+ "import numpy as np\n",
+ "from numpy import matrix\n",
+ "from numpy import linalg\n",
+ "%matplotlib inline\n",
+ "\n",
+ "from cipher import *\n",
+ "from cipherbreak import *\n",
+ "\n",
+ "c8a = open('2014/8a.ciphertext').read().strip()\n",
+ "c8b = open('2014/8b.ciphertext').read().strip()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def cadenus_letter(n, doubled='v'):\n",
+ " letter = chr(n + ord('a'))\n",
+ " if letter > doubled:\n",
+ " letter = chr(n + ord('a') + 1)\n",
+ " return letter"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c8bl = ''.join([cadenus_letter(int(c, 2)) for c in chunks(c8b, 5)])\n",
+ "c8bl"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 5,
+ "text": [
+ "'afcaeuottacthrioletcserthshtrahkzorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstxientrvoonerhuahravereetsvsielhlostdoalozaesmnndignnrhohhtsnaoilncnssicreanneeiiierxtanesrvogieizxssdgpvoiaisaoaeoaedrnitrnyeigrpsshadhdtoipaateyennesagrobtlesrnroirzpbgedcllixalaleenigrrnxzrlimlpstoleftrdmuarieeeiiaolnexsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtexfarnhebleaotohtttepnckaonhxetmvzprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfysoaotctbbsoeirnsadlztrrunrceptthreuhnktaceceelrxnireeeaeseeeidisogceomnrtejhagabsenitlxtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnzpaidziegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefzhlonxhaeeeeosneezaneisetogziterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseizclsiantaoltcizmidentthltndytttmasbleaeetlisirtxturpfailteaoefeisiiizisikvtxisprbsinelphrmohiagnlslvitodaisdpnzddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoznalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghznxeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeemrpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlonahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda'"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c8bgrid = chunks(c8bl, int(len(c8bl) / 25))\n",
+ "c8bgrid"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 9,
+ "text": [
+ "['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",
+ " 'klzsogstcifzpipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n",
+ " 'znalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghzn',\n",
+ " 'xeintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaozaa',\n",
+ " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnexonicdeem',\n",
+ " 'rpaolitoafesoosspfnlneeootachllirssysofpdftfrnpraeeazlon',\n",
+ " 'ahautntcntcbaxloneftoatecvoxdlxvnneedtiioigtegmtaheeatef',\n",
+ " 'aaeprrcrosheerrpalediengidrreouhvesuroztnsosinuiuiofprda']"
+ ]
+ }
+ ],
+ "prompt_number": 9
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "len(c8bgrid[0])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 11,
+ "text": [
+ "56"
+ ]
+ }
+ ],
+ "prompt_number": 11
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def make_keycolumn(doubled_letters = 'vw', start='a', reverse=False):\n",
+ " index_to_remove = string.ascii_lowercase.find(doubled_letters[0])\n",
+ " short_alphabet = string.ascii_lowercase[:index_to_remove] + string.ascii_lowercase[index_to_remove+1:]\n",
+ " if reverse:\n",
+ " short_alphabet = ''.join(reversed(short_alphabet))\n",
+ " start_pos = short_alphabet.find(start)\n",
+ " rotated_alphabet = short_alphabet[start_pos:] + short_alphabet[:start_pos]\n",
+ " keycolumn = {l: i for i, l in enumerate(rotated_alphabet)}\n",
+ " keycolumn[doubled_letters[0]] = keycolumn[doubled_letters[1]]\n",
+ " return keycolumn"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 75
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pt = sanitise(\"Whoever has made a voyage up the Hudson must remember the Kaatskill mountains. They are a dismembered branch of the great\")\n",
+ "keyword = 'wink'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 36
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "keycolumn = make_keycolumn(reverse=True)\n",
+ "[(k, keycolumn[k]) for k in sorted(keycolumn)]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 103,
+ "text": [
+ "[('a', 0),\n",
+ " ('b', 24),\n",
+ " ('c', 23),\n",
+ " ('d', 22),\n",
+ " ('e', 21),\n",
+ " ('f', 20),\n",
+ " ('g', 19),\n",
+ " ('h', 18),\n",
+ " ('i', 17),\n",
+ " ('j', 16),\n",
+ " ('k', 15),\n",
+ " ('l', 14),\n",
+ " ('m', 13),\n",
+ " ('n', 12),\n",
+ " ('o', 11),\n",
+ " ('p', 10),\n",
+ " ('q', 9),\n",
+ " ('r', 8),\n",
+ " ('s', 7),\n",
+ " ('t', 6),\n",
+ " ('u', 5),\n",
+ " ('v', 4),\n",
+ " ('w', 4),\n",
+ " ('x', 3),\n",
+ " ('y', 2),\n",
+ " ('z', 1)]"
+ ]
+ }
+ ],
+ "prompt_number": 103
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "keycolumn = make_keycolumn(doubled_letters='ij', start='b', reverse=True)\n",
+ "[(k, keycolumn[k]) for k in sorted(keycolumn)]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 101,
+ "text": [
+ "[('a', 1),\n",
+ " ('b', 0),\n",
+ " ('c', 24),\n",
+ " ('d', 23),\n",
+ " ('e', 22),\n",
+ " ('f', 21),\n",
+ " ('g', 20),\n",
+ " ('h', 19),\n",
+ " ('i', 18),\n",
+ " ('j', 18),\n",
+ " ('k', 17),\n",
+ " ('l', 16),\n",
+ " ('m', 15),\n",
+ " ('n', 14),\n",
+ " ('o', 13),\n",
+ " ('p', 12),\n",
+ " ('q', 11),\n",
+ " ('r', 10),\n",
+ " ('s', 9),\n",
+ " ('t', 8),\n",
+ " ('u', 7),\n",
+ " ('v', 6),\n",
+ " ('w', 5),\n",
+ " ('x', 4),\n",
+ " ('y', 3),\n",
+ " ('z', 2)]"
+ ]
+ }
+ ],
+ "prompt_number": 101
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pt_rows = chunks(pt, len(pt) // 25, fillvalue='a')\n",
+ "pt_rows"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 15,
+ "text": [
+ "['whoe',\n",
+ " 'verh',\n",
+ " 'asma',\n",
+ " 'deav',\n",
+ " 'oyag',\n",
+ " 'eupt',\n",
+ " 'hehu',\n",
+ " 'dson',\n",
+ " 'must',\n",
+ " 'reme',\n",
+ " 'mber',\n",
+ " 'thek',\n",
+ " 'aats',\n",
+ " 'kill',\n",
+ " 'moun',\n",
+ " 'tain',\n",
+ " 'sthe',\n",
+ " 'yare',\n",
+ " 'adis',\n",
+ " 'memb',\n",
+ " 'ered',\n",
+ " 'bran',\n",
+ " 'chof',\n",
+ " 'theg',\n",
+ " 'reat']"
+ ]
+ }
+ ],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "[keycolumn[l] for l in keyword]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 38,
+ "text": [
+ "[21, 8, 13, 10]"
+ ]
+ }
+ ],
+ "prompt_number": 38
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "pt_columns = [''.join(c) for c in zip(*pt_rows)]\n",
+ "pt_columns"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 47,
+ "text": [
+ "['wvadoehdmrmtakmtsyamebctr',\n",
+ " 'heseyuesuebhaioataderrhhe',\n",
+ " 'ormaaphosmeetluihrimeaoea',\n",
+ " 'ehavgtunterkslnneesbdnfgt']"
+ ]
+ }
+ ],
+ "prompt_number": 47
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "rotated_pt_columns = [''.join(col[start:] + col[:start]) for start, col in zip([keycolumn[l] for l in keyword], pt_columns)] \n",
+ "rotated_pt_rows = zip(*rotated_pt_columns)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 78
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "transpositions = transpositions_of(keyword)\n",
+ "transposed = [transpose(r, transpositions) for r in rotated_pt_rows]\n",
+ "transposed"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 79,
+ "text": [
+ "[['a', 'n', 't', 'o'],\n",
+ " ['d', 'e', 'l', 'e'],\n",
+ " ['e', 'e', 'u', 'h'],\n",
+ " ['r', 's', 'i', 'd'],\n",
+ " ['r', 'b', 'h', 'm'],\n",
+ " ['h', 'd', 'r', 'r'],\n",
+ " ['h', 'n', 'i', 'm'],\n",
+ " ['e', 'f', 'm', 't'],\n",
+ " ['h', 'g', 'e', 'a'],\n",
+ " ['e', 't', 'a', 'k'],\n",
+ " ['s', 'e', 'o', 'm'],\n",
+ " ['e', 'h', 'e', 't'],\n",
+ " ['y', 'a', 'a', 's'],\n",
+ " ['u', 'v', 'o', 'y'],\n",
+ " ['e', 'g', 'r', 'a'],\n",
+ " ['s', 't', 'm', 'm'],\n",
+ " ['u', 'u', 'a', 'e'],\n",
+ " ['e', 'n', 'a', 'b'],\n",
+ " ['b', 't', 'p', 'c'],\n",
+ " ['h', 'e', 'h', 't'],\n",
+ " ['a', 'r', 'o', 'r'],\n",
+ " ['i', 'k', 's', 'w'],\n",
+ " ['o', 's', 'm', 'v'],\n",
+ " ['a', 'l', 'e', 'a'],\n",
+ " ['t', 'n', 'e', 'd']]"
+ ]
+ }
+ ],
+ "prompt_number": 79
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def cadenus_encipher(message, keyword, keycolumn, fillvalue='a'):\n",
+ " rows = chunks(message, len(message) // 25, fillvalue=fillvalue)\n",
+ " columns = zip(*rows)\n",
+ " rotated_columns = [col[start:] + col[:start] for start, col in zip([keycolumn[l] for l in keyword], columns)] \n",
+ " rotated_rows = zip(*rotated_columns)\n",
+ " transpositions = transpositions_of(keyword)\n",
+ " transposed = [transpose(r, transpositions) for r in rotated_rows]\n",
+ " return ''.join(chain(*transposed))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 82
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cadenus_encipher(pt, 'wink', make_keycolumn(reverse=True))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 104,
+ "text": [
+ "'antodeleeeuhrsidrbhmhdrrhnimefmthgeaetakseomehetyaasuvoyegrastmmuuaeenabbtpchehtarorikswosmvaleatned'"
+ ]
+ }
+ ],
+ "prompt_number": 104
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cadenus_encipher(sanitise('a severe limitation on the usefulness of the cadenus ' \n",
+ " 'is that every message must be a multiple of twenty-five '\n",
+ " 'letters long'), 'easy', make_keycolumn(reverse=True))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 105,
+ "text": [
+ "'systretomtattlusoatleeesfiyheasdfnmschbhneuvsnpmtofarenuseieeieltarlmentieetogevesitfaisltngeeuvowul'"
+ ]
+ }
+ ],
+ "prompt_number": 105
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def cadenus_decipher(message, keyword, keycolumn, fillvalue='a'):\n",
+ " rows = chunks(message, len(message) // 25, fillvalue=fillvalue)\n",
+ " transpositions = transpositions_of(keyword)\n",
+ " untransposed_rows = [untranspose(r, transpositions) for r in rows]\n",
+ " columns = zip(*untransposed_rows)\n",
+ " rotated_columns = [col[-start:] + col[:-start] for start, col in zip([keycolumn[l] for l in keyword], columns)] \n",
+ " rotated_rows = zip(*rotated_columns)\n",
+ " # return rotated_columns\n",
+ " return ''.join(chain(*rotated_rows))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 93
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ " cadenus_decipher('antodeleeeuhrsidrbhmhdrrhnimefmthgeaetakseomehetyaasuvoyegrastmmuuaeenabbtpchehtarorikswosmvaleatned',\n",
+ " 'wink',\n",
+ " make_keycolumn(reverse=True))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 106,
+ "text": [
+ "'whoeverhasmadeavoyageupthehudsonmustrememberthekaatskillmountainstheyareadismemberedbranchofthegreat'"
+ ]
+ }
+ ],
+ "prompt_number": 106
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ " cadenus_decipher('systretomtattlusoatleeesfiyheasdfnmschbhneuvsnpmtofarenuseieeieltarlmentieetogevesitfaisltngeeuvowul',\n",
+ " 'easy',\n",
+ " make_keycolumn(reverse=True))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 107,
+ "text": [
+ "'aseverelimitationontheusefulnessofthecadenusisthateverymessagemustbeamultipleoftwentyfiveletterslong'"
+ ]
+ }
+ ],
+ "prompt_number": 107
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
\ No newline at end of file
up_rows.reverse()
return ''.join(c for r in zip_longest(*(down_rows + up_rows), fillvalue='') for c in r)
+def make_cadenus_keycolumn(doubled_letters = 'vw', start='a', reverse=False):
+ """Makes the key column for a Cadenus cipher (the column down between the
+ rows of letters)
+
+ >>> make_cadenus_keycolumn()['a']
+ 0
+ >>> make_cadenus_keycolumn()['b']
+ 1
+ >>> make_cadenus_keycolumn()['c']
+ 2
+ >>> make_cadenus_keycolumn()['v']
+ 21
+ >>> make_cadenus_keycolumn()['w']
+ 21
+ >>> make_cadenus_keycolumn()['z']
+ 24
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['a']
+ 1
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['b']
+ 0
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['c']
+ 24
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['i']
+ 18
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['j']
+ 18
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['v']
+ 6
+ >>> make_cadenus_keycolumn(doubled_letters='ij', start='b', reverse=True)['z']
+ 2
+ """
+ index_to_remove = string.ascii_lowercase.find(doubled_letters[0])
+ short_alphabet = string.ascii_lowercase[:index_to_remove] + string.ascii_lowercase[index_to_remove+1:]
+ if reverse:
+ short_alphabet = ''.join(reversed(short_alphabet))
+ start_pos = short_alphabet.find(start)
+ rotated_alphabet = short_alphabet[start_pos:] + short_alphabet[:start_pos]
+ keycolumn = {l: i for i, l in enumerate(rotated_alphabet)}
+ keycolumn[doubled_letters[0]] = keycolumn[doubled_letters[1]]
+ return keycolumn
+
+def cadenus_encipher(message, keyword, keycolumn, fillvalue='a'):
+ """Encipher with the Cadenus cipher
+
+ >>> cadenus_encipher(sanitise('Whoever has made a voyage up the Hudson ' \
+ 'must remember the Kaatskill mountains. ' \
+ 'They are a dismembered branch of the great'), \
+ 'wink', \
+ make_cadenus_keycolumn(doubled_letters='vw', start='a', reverse=True))
+ 'antodeleeeuhrsidrbhmhdrrhnimefmthgeaetakseomehetyaasuvoyegrastmmuuaeenabbtpchehtarorikswosmvaleatned'
+ >>> cadenus_encipher(sanitise('a severe limitation on the usefulness of ' \
+ 'the cadenus is that every message must be ' \
+ 'a multiple of twenty-five letters long'), \
+ 'easy', \
+ make_cadenus_keycolumn(doubled_letters='vw', start='a', reverse=True))
+ 'systretomtattlusoatleeesfiyheasdfnmschbhneuvsnpmtofarenuseieeieltarlmentieetogevesitfaisltngeeuvowul'
+ """
+ rows = chunks(message, len(message) // 25, fillvalue=fillvalue)
+ columns = zip(*rows)
+ rotated_columns = [col[start:] + col[:start] for start, col in zip([keycolumn[l] for l in keyword], columns)]
+ rotated_rows = zip(*rotated_columns)
+ transpositions = transpositions_of(keyword)
+ transposed = [transpose(r, transpositions) for r in rotated_rows]
+ return ''.join(chain(*transposed))
+
+def cadenus_decipher(message, keyword, keycolumn, fillvalue='a'):
+ """
+ >>> cadenus_decipher('antodeleeeuhrsidrbhmhdrrhnimefmthgeaetakseomehetyaa' \
+ 'suvoyegrastmmuuaeenabbtpchehtarorikswosmvaleatned', \
+ 'wink', \
+ make_cadenus_keycolumn(reverse=True))
+ 'whoeverhasmadeavoyageupthehudsonmustrememberthekaatskillmountainstheyareadismemberedbranchofthegreat'
+ >>> cadenus_decipher('systretomtattlusoatleeesfiyheasdfnmschbhneuvsnpmtof' \
+ 'arenuseieeieltarlmentieetogevesitfaisltngeeuvowul', \
+ 'easy', \
+ make_cadenus_keycolumn(reverse=True))
+ 'aseverelimitationontheusefulnessofthecadenusisthateverymessagemustbeamultipleoftwentyfiveletterslong'
+ """
+ rows = chunks(message, len(message) // 25, fillvalue=fillvalue)
+ transpositions = transpositions_of(keyword)
+ untransposed_rows = [untranspose(r, transpositions) for r in rows]
+ columns = zip(*untransposed_rows)
+ rotated_columns = [col[-start:] + col[:-start] for start, col in zip([keycolumn[l] for l in keyword], columns)]
+ rotated_rows = zip(*rotated_columns)
+ # return rotated_columns
+ return ''.join(chain(*rotated_rows))
+
def hill_encipher(matrix, message_letters, fillvalue='a'):
"""Hill cipher
projects / cipher-training.git / commitdiff