--- /dev/null
+{
+ "metadata": {
+ "name": "",
+ "signature": "sha256:e375a3faf5213c9f51d99f7c22948b1a55e592a6d8b6156a30b0fb490ea337a1"
+ },
+ "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",
+ "%matplotlib inline\n",
+ "\n",
+ "from cipherbreak import *\n",
+ "\n",
+ "c8a = open('2014/8a.ciphertext').read()\n",
+ "c8b = open('2014/8b.ciphertext').read().strip()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 9
+ },
+ {
+ "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": 2,
+ "text": [
+ "<matplotlib.axes.AxesSubplot at 0x7fe302243fd0>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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8t6ulZdPJtO0b/rb51H+o7RyTO8bmtS1vm5H4GWgnm6SO4VTgReBJt90NrAd2AOuArljZ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\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7fe32d0cc0f0>"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "freqs_8a = pd.Series(collections.Counter([l.lower() for l in c8a if l in string.ascii_letters]))\n",
+ "freqs_8a.plot(kind='bar')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 3,
+ "text": [
+ "<matplotlib.axes.AxesSubplot at 0x7fe301119be0>"
+ ]
+ },
+ {
+ "metadata": {},
+ "output_type": "display_data",
+ "png": 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9W6wH/hz4ox5xhIiayzFf2iIO3o7bP/7GgQsxE7yf55Q9L2XdK3M0O4BHZmxL\nO4g5EMqYYQsxTA5jZjch2ULCHxdifpGsx+wD1yaPa8pMalD48rCF8MXz8ouIiDkLcyzrRvLtFiGE\nEEIIIYQQQgghhBBCCCGEEEIIIQLk/wFJCFVD/Yn0OQAAAABJRU5ErkJggg==\n",
+ "text": [
+ "<matplotlib.figure.Figure at 0x7fe301154198>"
+ ]
+ }
+ ],
+ "prompt_number": 3
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "c8as = sanitise(c8a)\n",
+ "c8as"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 4,
+ "text": [
+ "'nyvlggsyglchxfeuytqcesqxpziufiggrbjhpayncruyfpsxufiupskyrectmmcncruyregxigrlglbtiblmecebzsvrlpuxpbibjajrljreobajrlufigjehbezywtmgjyxfqxictsgrdgtbjafyoocwtmjblctwwucqmgofrlfmrfrlfwlbtijlwuypmchjqxicrfchumtsmzjbimyvhcuvyrugxjcwpdtpuisrlfdhbaencyqumufeogrhcrjmytqsmsxjmrcsxjrmttiswzvjrfpecjitnidgemdssaitasvjhuyofgxpsxgmvvqfvrxiyxxmymbxfjpufigbeufeuuiiyzfavbaofbxicmsamqfisqwpgrtribbmtskhcwuuimcxufinbitrvpwxsmnbljppytuixgpmlifbgpmtfpeugsodvpkxicsnyrjeswcvokioreoyvnchggkirishiuyrerlfdpjeluasorvpjwzqxfkwgpsnyhsmrfkiblaigpfuiociersflwvpiuusufmoewpliufeuuiemrprwflhdpmuggbjmodsskeugsoygsmwtrlfzecypnyreyftrvbgxblhuusufeuuivqiblsoavjrmdyplcchcrfpeugsonvprsdmpplxiyxdfeolimemwcrufimczfjsgasnkmukiorxicjeylbtitfsxlmobiwcppnmoexigwqjeogenqyscxiyxufizummjvfgrtreucxictpuisqyqnpzumufmoyjfuqplxiqfvrajrlmsglrlfwajjpomxhsitqxiyxxcoomabzsvrmuyreuixgpmnyugxpsxpdfvqmocwtdssjsoeiomyhfxpasncyqumufeqjeomjpsvpurumiynppgxjrmorlfkiblxjkixcrpuoomaufeurlfgvigkicwuqidsvjrcdmqnsrjaeugsoqescioavznxfbytgrhygbbioswdgticvtmafaeoqxbpxisrugrhrlsmyhfxichbrecywfdssmxicvjlxfpgfnxtuidyrdpedixigwnycccxicfscelrlsmyhfaffewcffcrmmslgrhdssgrufiggkirehymoqxufigbemcxtlsuqgscajryqypmrlfzitrlbpvz'"
+ ]
+ }
+ ],
+ "prompt_number": 4
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "key_a, score = vigenere_frequency_break(c8as)\n",
+ "key_a, score"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 5,
+ "text": [
+ "('bye', -1461.9840974270046)"
+ ]
+ }
+ ],
+ "prompt_number": 5
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "' '.join(segment(vigenere_decipher(c8as, key_a)))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 6,
+ "text": [
+ "'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'"
+ ]
+ }
+ ],
+ "prompt_number": 6
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "len(c8b) / 8"
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+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 12,
+ "text": [
+ "875.0"
+ ]
+ }
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+ " 28,\n",
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+ " 96]"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "bytes([(int(c, 2)) for c in chunks(c8b, 8)])"
+ ],
+ "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$6\\x88\\xa2\\x1cW\\xc4`'"
+ ]
+ }
+ ],
+ "prompt_number": 18
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "bytes([(int(c, 2)) for c in chunks(c8b, 8)]).decode('utf-8', 'replace')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 25,
+ "text": [
+ "'\\x01D\\x02Q\u04d8\\x053\ufffd\\x0eY&)\\x123<\ufffd8\ufffd\ufffd\u00e2\ufffd\ufffd\ufffdp\\x06\ufffd\ufffd\ufffd\\\\\ufffd\\x16\ufffd\ufffdqP\ufffd\ufffdC\\x1b\ufffdJ2B\ufffd\\t\\x16\ufffd\ufffdX\\x00YN\ufffd#g\\x1a\ufffd\ufffd$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`'"
+ ]
+ }
+ ],
+ "prompt_number": 25
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "bytes([(int(c, 2)) for c in chunks(c8b, 8)]).decode('utf_32', 'replace')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "metadata": {},
+ "output_type": "pyout",
+ "prompt_number": 29,
+ "text": [
+ "'\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\\U00072402\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd'"
+ ]
+ }
+ ],
+ "prompt_number": 29
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [],
+ "language": "python",
+ "metadata": {},
+ "outputs": []
+ }
+ ],
+ "metadata": {}
+ }
+ ]
+}
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```
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+7001 8b.ciphertext 8d7e366e8fbb5766717481eeec77b089d3e8f9e708ac198d56176cb0882a9472
3882 2014-challenge1.ipynb 07715f100d97af32ad5a13b56ade2f5753e17e32404e2eda0dcb9634736298f5
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61 README.md 277247b410300ee16477b12ca54ad878d81c8061f6134e2e1cadccaf299de3a3
projects / cipher-training.git / commitdiff