Solved 2014 challenges 1 and 2
authorNeil Smith <neil.git@njae.me.uk>
Mon, 13 Oct 2014 09:53:20 +0000 (10:53 +0100)
committerNeil Smith <neil.git@njae.me.uk>
Mon, 13 Oct 2014 09:53:20 +0000 (10:53 +0100)
2013-challenge6.ipynb [new file with mode: 0644]
2013-challenge7.ipynb [new file with mode: 0644]
2014-challenge1.ipynb [new file with mode: 0644]
2014-challenge2.ipynb [new file with mode: 0644]
challenge6.ipynb [deleted file]
challenge7.ipynb [deleted file]

diff --git a/2013-challenge6.ipynb b/2013-challenge6.ipynb
new file mode 100644 (file)
index 0000000..ca4e493
--- /dev/null
@@ -0,0 +1,1141 @@
+{
+ "metadata": {
+  "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline\n",
+      "import matplotlib.pyplot as plt\n",
+      "\n",
+      "from cipherbreak import *\n",
+      "with open('2013/mona-lisa-words.txt') as f:\n",
+      "    mlwords = [line.rstrip() for line in f]\n",
+      "mltrans = collections.defaultdict(list)\n",
+      "for word in mlwords:\n",
+      "    mltrans[transpositions_of(word)] += [word]\n",
+      "c6a = open('2013/6a.ciphertext').read()\n",
+      "c6b = open('2013/6b.ciphertext').read()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c1a = open('2013/1a.ciphertext').read()\n",
+      "c1b = open('2013/1b.ciphertext').read()\n",
+      "c2a = open('2013/2a.ciphertext').read()\n",
+      "c2b = open('2013/2b.ciphertext').read()\n",
+      "c3a = open('2013/3a.ciphertext').read()\n",
+      "c3b = open('2013/3b.ciphertext').read()\n",
+      "c4a = open('2013/4a.ciphertext').read()\n",
+      "c4b = open('2013/4b.ciphertext').read()\n",
+      "c5a = open('2013/5a.ciphertext').read()\n",
+      "c5b = open('2013/5b.ciphertext').read()\n",
+      "\n",
+      "p1a = caesar_decipher(c1a, 8)\n",
+      "p1b = caesar_decipher(c1b, 14)\n",
+      "p2a = affine_decipher(c2a, 3, 3, True)\n",
+      "p2b = caesar_decipher(c2b, 6)\n",
+      "p3a = affine_decipher(c3a, 7, 8, True)\n",
+      "p3b = keyword_decipher(c3b, 'louvigny', 2)\n",
+      "p4a = keyword_decipher(c4a, 'montal', 2)\n",
+      "p4b = keyword_decipher(c4b, 'salvation', 2)\n",
+      "p5a = keyword_decipher(c5a, 'alfredo', 2)\n",
+      "p5b = vigenere_decipher(sanitise(c5b), 'florence')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(frequencies(sanitise(c6a)))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stderr",
+       "text": [
+        "/usr/local/lib/python3.3/dist-packages/matplotlib/figure.py:372: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
+        "  \"matplotlib is currently using a non-GUI backend, \"\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEkCAYAAABt4jWqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xaeb9980c>"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6af = frequencies(sanitise(c6a))\n",
+      "plot_frequency_histogram(c6af, sort_key=lambda l: c6af[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEkCAYAAABt4jWqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xae9bdf4c>"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(normalised_english_counts, sort_key=lambda l: normalised_english_counts[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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1Gn77YYbbtDf/vY3HT58WJJa/g3mlltuUVlZmXbt2qWcnJw268aPH69ly5ZpwoQJGj9+vF5++WWN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\nwv8DbMnA/BWkp54AAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xaea606ec>"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6bf = frequencies(sanitise(c6b))\n",
+      "plot_frequency_histogram(c6bf, sort_key=lambda l: c6bf[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xae9b112c>"
+       ]
+      }
+     ],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(c6bf)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xaea4c52c>"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(normalised_english_counts)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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4cOaO3eu4/hee+01+f3+i/acHjOsTlJbW6vevXurZ8+e2rdvn3bu3OlY/9lnnzXVvPHGG63+5nbj\njTfqb3/7m44cOSJJTf+25IYbbtD69et16tQp1dXVaePGja3+5zR+/HitW7dOX375ZdN2P/vss6Dj\nDGbMmDH65z//qfr6eh07dkybNm2y4gKFSy+9VP/4xz+0Zs2aFv/gPZxkZ2dr/fr1OnnypI4fP671\n69e3+vqRQn+tteX101aff/65evbsqZkzZ+qhhx7S7t27W63t1auX6urqQtpu//799cUXX+jIkSOq\nr6/Xxo0bW6294447tHbtWq1bt04zZsxw3G52draWLVumsWPHKjs7W6+88oqGDRvWan1+fr6eeuop\n3XnnnUHPu916660qLS3Vrl27lJub22rdu+++q+XLl3fpRU5djRlWJ5kwYYJeeeUVpaSkKDExsekQ\nTEtcLpcSExP14osvau7cuRoyZIjmz5/fYm1KSooef/xxjR07VpdccomGDRumP/zhDy3WZmRk6I47\n7pDX69XVV1/teKgmOTlZTz31lH72s5/p9OnTioyM1EsvvaRrr73Wse9gRowYoSlTpmjo0KHq37+/\n0tLSdOWVV4a8zWCP0Z7/QENZx+Vy6YorrtDGjRv105/+VL169dItt9zS7m06jctphhPKY2RkZOjn\nP/950/N77733yuv1ttpLqK+1H79+MjMzg86yQn0+PvjgAz388MNNs02ny9b79u2rMWPGKC0tTZMm\nTXL8bL3IyEg9+eSTGjlypNxut1JSUlrtKSUlRceOHZPH41H//v0d+83OztbTTz+tUaNG6fLLL9fl\nl1/eatCvWbNGl112mfLy8nT69GmNHj1aPp9POTk5rfZ84403qnfv3o7778UXX9TXX3+tcePGSZIy\nMzO1atUqx767G/5wGJ3u+PHjioqK0okTJzR27Fi9+uqrSk9P75Jevvrqqy49N9bVqqqqNHnyZH3w\nwQdtXnfJkiWKjo7WokWLOqGzi9fp06c1fPhwrVu3ToMHD+7qdsIahwTR6e677z5lZGRo+PDhmj59\nepeF1cGDBzV69Gg9/PDDXfL44aIjh/VsOJxrk4qKCiUkJOimm24irELADAsAYAVmWAAAKxBYAAAr\nEFgAACsQWAAAKxBYAAArEFgAACv8P5ZWvQDqsWNNAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xae9fc90c>"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6a"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 10,
+       "text": [
+        "'CPYYL GVVIR PDDVU BCSUP QOWPW SYBYP ODBCS PBBPR CSIOZ PTSTV HYVTW PYOZC OGCRV TTPUI BVGVS YOUGZ ZSRYS BPYLY SHSYY OUGBV BCSWP OUBOU GPUIR DSPYD LTSUB OVUOU GZPYP ZSSTZ DONSB CSLNU SJPAV EBBCS ZRPTV EYHYO SUIDL ZZVHH ORSYJ PZWDP UUOUG BVWED DBCSL WORNS IEWCS YBYPO DBCSU OGCBP HBSYZ CSJSU BTOZZ OUGAE BLVER PUYSP IPAVE BBCPB OUBCS OYYSW VYBZB ODDUV MVLVU GSBBO UGPRR SZZBV BCSVY OGOUP DTOZZ TVUPO UBCSG PDDSY LPUIO PTASG OUUOU GBVBC OUNJS TOGCB USSIB VYVDD VEBPA DPRNA PGMVA LVEJP UBBVI VOBVY ZCPDD OALBC SJPLO JPZZE YWYOZ SIALB COZYS WVYBB CSVBC SYWPW SYZJS CPFSH YVTBC SUPQO ZPBBC OZDSF SDPYS SURYL WBSIE ZOUGA OHOIV YWDPL HPOYZ BLDSR OWCSY ZBCOZ VUSOZ UBTPL ASBCS ROWCS YRDSY NJPZV HHIEB LBCPB IPLJS GVBDE RNL\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "len(sanitise(c6b))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 11,
+       "text": [
+        "1573"
+       ]
+      }
+     ],
+     "prompt_number": 11
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6as = sanitise(c6a)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "frequencies(ngrams(c6as, 2))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 13,
+       "text": [
+        "Counter({'bc': 21, 'cs': 20, 'ou': 15, 'sy': 12, 'oz': 10, 'ug': 10, 'ub': 8, 'bv': 8, 'su': 7, 'bb': 7, 'zz': 6, 'yo': 6, 'dd': 6, 'ys': 6, 'py': 6, 'pu': 6, 'jp': 6, 've': 6, 'vy': 6, 'cp': 5, 'co': 5, 'si': 5, 'yz': 5, 'ds': 5, 'po': 5, 'bo': 5, 'eb': 5, 'vb': 5, 'vu': 5, 'sb': 4, 'zb': 4, 'yb': 4, 'dp': 4, 'pl': 4, 'pd': 4, 'pb': 4, 'pz': 4, 'bp': 4, 'js': 4, 'wp': 4, 'og': 4, 'up': 4, 'uo': 4, 'ui': 4, 'yl': 4, 'tv': 3, 'to': 3, 'lv': 3, 'lb': 3, 'yv': 3, 'sj': 3, 'sg': 3, 'sp': 3, 'sr': 3, 'ss': 3, 'sw': 3, 'zs': 3, 'zv': 3, 'zc': 3, 'al': 3, 'yw': 3, 'rn': 3, 'rp': 3, 'db': 3, 'us': 3, 'yy': 3, 'yp': 3, 'st': 3, 'ie': 3, 'gv': 3, 'gp': 3, 'zp': 3, 'gb': 3, 'gc': 3, 'pa': 3, 'pt': 3, 'pr': 3, 'bl': 3, 'wc': 3, 'ow': 3, 'od': 3, 'vh': 3, 'vt': 3, 'hy': 3, 'tp': 2, 'ts': 2, 'cb': 2, 'lw': 2, 'fs': 2, 'sh': 2, 'sl': 2, 'so': 2, 'sz': 2, 'sv': 2, 'zo': 2, 'ro': 2, 'wv': 2, 'rd': 2, 'ry': 2, 'rs': 2, 'dl': 2, 'do': 2, 'dv': 2, 'ir': 2, 'ip': 2, 'qo': 2, 'io': 2, 'ib': 2, 'gz': 2, 'ga': 2, 'av': 2, 'go': 2, 'pw': 2, 'pq': 2, 'by': 2, 'bs': 2, 'bt': 2, 'wd': 2, 'oy': 2, 'or': 2, 'ws': 2, 'iv': 2, 'zd': 2, 'ey': 2, 'er': 2, 'ns': 2, 'vi': 2, 'nj': 2, 'ho': 2, 'uu': 2, 'hh': 2, 'mv': 2, 'as': 2, 'tz': 1, 'tt': 1, 'tw': 1, 'ta': 1, 'tb': 1, 'lp': 1, 'lt': 1, 'ly': 1, 'lz': 1, 'la': 1, 'ld': 1, 'lg': 1, 'lh': 1, 'lj': 1, 'cr': 1, 'lo': 1, 'ln': 1, 'wb': 1, 'sc': 1, 'sd': 1, 'sf': 1, 'na': 1, 'zr': 1, 'ap': 1, 'wo': 1, 'zw': 1, 'zu': 1, 'zt': 1, 'zy': 1, 'ad': 1, 'ae': 1, 'zj': 1, 'ao': 1, 'rc': 1, 'hb': 1, 'rr': 1, 'rv': 1, 'yj': 1, 'yh': 1, 'yn': 1, 'hi': 1, 'de': 1, 'yd': 1, 'yr': 1, 'du': 1, 'dt': 1, 'nl': 1, 'gm': 1, 'wy': 1, 'ia': 1, 'id': 1, 'gs': 1, 'pi': 1, 'ph': 1, 'pg': 1, 'pf': 1, 'bz': 1, 'bu': 1, 'bi': 1, 'bd': 1, 'we': 1, 'ov': 1, 'op': 1, 'os': 1, 'on': 1, 'oi': 1, 'oj': 1, 'oa': 1, 'ob': 1, 'ej': 1, 'ze': 1, 'ed': 1, 'ez': 1, 'ew': 1, 'vg': 1, 'vd': 1, 'va': 1, 'vo': 1, 'oh': 1, 'nu': 1, 'vl': 1, 'vw': 1, 'vv': 1, 'vs': 1, 'uy': 1, 'uv': 1, 'ur': 1, 'un': 1, 'hp': 1, 'hs': 1, 'vm': 1})"
+       ]
+      }
+     ],
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "' '.join(segment(letters(c6a).translate(''.maketrans({'B':'t', 'C':'h', 'S':'e', 'O':'i', 'U':'n', 'G':'g', 'A':'b', 'V':'o', 'N':'k', 'J':'w', 'T':'m', 'I':'d', 'P':'a', 'W':'p', 'R':'c', 'Y':'r', 'L':'y', 'D':'l', 'H':'f', 'Z':'s', 'Q':'z', 'E':'u', 'F':'v', 'M':'j'}))))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 14,
+       "text": [
+        "'harry good call on the nazi paper trail the attached is a memo from paris high command to goering s secretary referring to the painting and clearly mentioning sara seems like they knew about the scam our friendly ss officer was planning to pull they picked up her trail the night after she went missing but you can read about that in their report still no joy on getting access to the original miss mona in the gallery and i am beginning to think we might need to rollout a black bag job you want to do it or shall i by the way i was surprised by this report the other papers we have from the nazis at this level are encrypted using bifid or playfair style ciphers this one isnt maybe the cipher clerk was off duty that day we got lucky'"
+       ]
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "trans={'B':'t', 'C':'h', 'S':'e', 'O':'i', 'U':'n', 'G':'g', 'A':'b', 'V':'o', 'N':'k', 'J':'w', 'T':'m', 'I':'d', 'P':'a', 'W':'p', 'R':'c', 'Y':'r', 'L':'y', 'D':'l', 'H':'f', 'Z':'s', 'Q':'z', 'E':'u', 'F':'v', 'M':'j'}"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join(sorted(trans.keys(), key=lambda k: trans[k]))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 16,
+       "text": [
+        "'PARISHGCOMNDTUVWYZBEFJLQ'"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "' '.join(segment(keyword_decipher(c6as, 'parishighcommand', 2)))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 17,
+       "text": [
+        "'harry good call on the nazi paper trail the attached is a memo from paris high command to goering s secretary referring to the painting and clearly mentioning sara seems like they knew about the scam our friendly ss officer was planning to pull they picked up her trail the night after she went missing but you can read about that in their report still no joy on getting access to the original miss mona in the gallery and i am beginning to think we might need to rollout a black bag job you want to do it or shall i by the way i was surprised by this report the other papers we have from the nazis at this level are encrypted using bifid or playfair style ciphers this one isnt maybe the cipher clerk was off duty that day we got lucky'"
+       ]
+      }
+     ],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6bs = sanitise(c6b)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "len(c6bs)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 19,
+       "text": [
+        "1573"
+       ]
+      }
+     ],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from itertools import permutations"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "list(permutations(range(4)))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 21,
+       "text": [
+        "[(0, 1, 2, 3),\n",
+        " (0, 1, 3, 2),\n",
+        " (0, 2, 1, 3),\n",
+        " (0, 2, 3, 1),\n",
+        " (0, 3, 1, 2),\n",
+        " (0, 3, 2, 1),\n",
+        " (1, 0, 2, 3),\n",
+        " (1, 0, 3, 2),\n",
+        " (1, 2, 0, 3),\n",
+        " (1, 2, 3, 0),\n",
+        " (1, 3, 0, 2),\n",
+        " (1, 3, 2, 0),\n",
+        " (2, 0, 1, 3),\n",
+        " (2, 0, 3, 1),\n",
+        " (2, 1, 0, 3),\n",
+        " (2, 1, 3, 0),\n",
+        " (2, 3, 0, 1),\n",
+        " (2, 3, 1, 0),\n",
+        " (3, 0, 1, 2),\n",
+        " (3, 0, 2, 1),\n",
+        " (3, 1, 0, 2),\n",
+        " (3, 1, 2, 0),\n",
+        " (3, 2, 0, 1),\n",
+        " (3, 2, 1, 0)]"
+       ]
+      }
+     ],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[column_transposition_decipher(c6bs, p, fillvalue=' ') for p in permutations(range(4))]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 22,
+       "text": [
+        "['hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnroteletpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvnaiaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrtebltllgfo   ',\n",
+        " 'hihthnrffetreafoftanslytorrreqhtimesrurlhfestaeeiuwisibhnrtrsiioieinrhrmpydttoierctialbnrphntoohrleiwthstepsostooyunwherdhchpimcnotoahsahtjieaentorfnesuramgxutrtolweabtrtpeptaraeesnehthrsinrtsstnrflodghuamgessekaunitahtytnuyntnnvhgiwlwefipaaserlfiaebpacmpclaehthotlhswuldasevueaoetauetaetefhelbthrsghatilaceehtnrhgaasiteufnnpuerhrleitmtudiynneugiocuedneeaihseulhntoathieianydfniuaoeantieyfoehdaulareoryuhrareatreahaiontgwiwssatibutlaoxmleotretootnoaorotgcbvapinleewfrytaoeadwuwertrtlnrppfailelrmintorwiqereucardnotfanrtoeltepernpmhsndedtdweheofypdeensnnegetaeteaensetrgduleorsbuorwhgdbrapheynttkeretrrrnhfndeolstwsainipyotmhoucotyieeeopnhrknnatirtleeuirenmitpahoaeohnhoumutksvendeeeiodpkwietgiioisehnuuafnbueitrhaehrieheuaaysrsuiwagdssiitlrgfhpilwtiiisheusrmormaecisiolvedoeulsariidoetnifesbontaspogfsordtfriplatnertlyoisoytoessfnptheiageoaraeiitmdtaeagryhasrrcflerteleaenhvheivhmnassieorixmlpstjteosfbrmhnidocehcntbtnocmpsueseohtneetifenootnowoteeritloidgosemhofimlorefdftuseofelrwiiyqbdzottnrafntidgotnaleapdhseanmthplsntbuohaaapllenmpdsrhvanialenhacliksacodaetdjgohiedagwyandteenehgeueeoeednroyyfrctmettnwtgedtausootofwmyihgrrheosirnraforeftenopyasisesstnhhayuelhwipcetataupenalueelwhaaoleursenbiieaasetaegccdsoerpsoreneslvsoeddusilttetitfesoenslnignorentieeiwwlwtheisriihltdrsndserfrhntglrsauseaddotyasdautnewictnaemtetrposeyttoocynutosgcumdlapdlaedoetfdbsfeelahxarsnoiditeirpasihcdschibpiesllnlahofrretnatroaimeklgaremtrdwcsnyanwvsnudlorkeutnnouitiunnhvineiolhletfneaatiuftatceltnnbrhbgelonsaomnifokarnosnnvfrterctfhdtepsswuceprctwpowafhadyiosoaogaenldfgingtrebtlllfgo   ',\n",
+        " 'htihhfnrfreteoaffntastlyorrretqhismerlurhsfeteaeiiuwshibnrrtsoiiineirmhrptydteoirictanlbrnphthoorilewsthtsepoostonyuwrhedhhcpcimnootaahshitjenaetfornuesrgamxruttwoletabretpprtaaseentehhirsnsrtsrtnfdlogahumsgesaekutniayhttynunntnvihgwelwfaiparselafieabpccmplhaettholwhsualdsueveeaoteauttaeeefhlhbtrhsgaltiaecehrtnhagaseitunfnprueherlittmuydinunegciounedeieahuselthnohatiaeinfydnaiuoneatyiefhoedlauaorerhyurearaetraihaogntwsiwsiatblutamoxlteoroetootnaoortbgcviapnelewyfrteaoaudwwterrntlrfppaeillirmnrtoweiqrceuanrdoatfnorteeltpnerpsmhnddetedwhfeoyepdennsneegttaeenaesretglduesorbruowdhgbprahneytetkrretrhrnfendotlswisanyipohtmooucteyiepeonkhrntnailrteieurmeniatpheoaohhnouumtvkseendeoeidwpkigetiiiosnehufuanebuihtrarehieehuyaasursigwadissirtlgpfhitlwisiihseurrmomcaeiosildveoleusiariedotfnieosbnstapfogsdortifrptlanterliyostoyosesftnphaeigaeoriaeidtmtaaeghryarsrceflrlteenaehevhimvhnsasireoilxmpjsttseofmbrhdniohcecbnttcnomupseosehetneftieonotwnooeterlitogidomsehiofmrloeffdteusolferiwiydqbztotnfrandtignotaalepsdhemantlhpsbntuaohalaplmenprdshnvaiealnchalsikadcoadetjhgoiaedgawynedtehnegeeueeoedonryryfcetmtwtntdgetsauoootfywmirhgrohesnirroafrtefepnoyiasssesthnhaeyulihwptceautapaenleuelawhaeoluersnibiesaaeetagdccsroeprsoesnelovseuddstiltiettsfeosenlgnineornetiewiwlhwterisilihtsdrnedsrhfrnltgrusasdeadyotaasduetnwticnmaetretpeosyottoncyustogmcudpladeladtoefsdbfleeaahxrosnitdiepirahsiccdshpibileslanlhrofrnetaotraeimkalgrtemrcdwsanynswvnludoerkuntnotuiinunhnvieliohtlefaneautifttactelnrnbhebglsonanomikfoaornsvnnfertrfcthedtpwssupcerwctpaowfdhaysioogaoalendifgnrgtelbtlglfo   ',\n",
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+        " 'hthirfhntrfefoeaanftytslrrorhteqesimrlrueshfeetawiiubhsitrnriosiiniermrhdtpyietotircbnalhnrpohtoeirlhswtpstetoosunoyerwhchdhmcpitonosaahjihtenearftosunemgratrxulwtobteapertarptesaehtnesihrtsnrnrstodfluaghesmgkaseituntyahuytnnnntgivhwewlpafierasialfpaebpccmehlaotthswlhdaulvuseoeeauetaettaheefthlbghrsilateeacnrhtaahgtesinnuferpulehrmtitiyudeunnocgidnueaieeeuhsntlhthoaiaiedfnyuanianoeeytiehfouldaeoaruhryrerareataiahtgonwswitisatlbuxmaootletorenootroaocbtgpivaeenlrywfoetawuadrtwelnrtpfrpleaimilrorntqewiucrednarfaottonrteelrnpehspmedndwetdofhedeypsnengeneettaeneatrseulgdrseoorbugdwhapbrynheketttrrenhrrdefnstolaiwspynimhotcoouietyopeerknhatnntliruieenmrepaitaehonhohmuousvtkdeenioeekwdptgieoiiihnseafuuuenbrhithraeheieayuasusragiwsidslrithpgfwtilisiiusheorrmecmaioisedlvuloerisaoeidiftnboesasntgfpordsoritfatplrtneoilyytsossoeptfniaheoageeiramditeatayhgrrraslecfelrteneahehvhmivssnaoriemlixtjpsostermfbidhnehoctbcnoctnsumpeoesnehtifetooenowtneeottlridgoiemosfihoormldfefsetuelofiirwbdyqttzoafnridnttngoeaalhspdnmeaplthtbsnhauoplaanmlesrpdanhvleiaacnhksliodactdaeohjgdaieyagwtendehenuegeeeeorodnfryymectnwttedtgustatooomyfwgriheorhrnsiforaftreopensiyasssehhtnueaywilhetpcauatnapeeeluhalwleaoseuriinbaseaaeetcdgcersoorpsesensolvduedltsititeestfnsoeiglnrenoientwweithlwsreihliirstdsendrhrfglntaursadsetydodaasneutctwiemnatrtesepotoytynocosutumgcapdlaedletdobsfdelfexaahnorsitidrpeiihassccdbphislielalnfrhotnreroatmeaigaklmtrewcrdyasnvsnwdlnukeornnutitounniuinhvoleiethleafniuatatftltcebrnngehbnslomnaookifnoarnvsntefrtfrctehdswpsepuctwrcwapoadfhosyiogoanlaegidftrngtlebfgll  o ',\n",
+        " 'ithhnfrhertfaofetnafltysrrroqthemseiulrrfsehaeetuiwiihbsrrtnioiseniihmrrytdpoeitcitrlnbapnhrohotliertshwesptsotoynuohrewhhcdicmpootnhasatijhaneeofrteusnagmrurtxowltatbeteprtrapeseaethnrishrstntrnsldofhauggsemeaksntiuhytanyuttnnnhigvlewwiapfsreafailbapemcpcahelhtothwslladueuvsaeoeaeutatetfehebhtlshgrtliaceeatrnhgaahietsfnnuureprelhttmidyiunuenicogendueiaesuehhtnlahtoeaiiyfdniaunenaoiyetohefaludroeayhuraerrterahiaangtoiswwaitsultbomxaetoleotrtonoooragbctaipvleenfyrwaeotduwaetrwtnlrpfprielarimltronieqwecurrndataforotnleteenrpmshpddendewtefohpedynnseeegnatetaneeertsdlugosreurobhdgwrpabenyhtektertrrhnrnedfltsosiawiypnthmouocoyeitepoehkrnntanrltieiueemnrtapioeahhhnouumokvstnedeeoiepwkdegtiiioienhsufaubeunthrierhaeehiayaurusswgaisisdtrlifphgltwiisiiesuhmroracemsoiivdeleluoairsdeoinfitsobetsanofgpodrsfirtltapetrnyiolotysessontpfeaiheaogaiertdmiaaetrhygsrrafelctleraneevehhvmhiassneroixlmisjtpesotbmrfndihcheonbtcncotpusmsoeetenhtfienooenwotteeoiltrigdosmeooifhlromffdeuestfleowiirqdbyottzrfantdinontglaeadshpamnehlptnbtsoahualpaemnldrspvnahaelihcanisklcdoaedtaghojeadiwaygdetnnheeeeugoeeenordyrfytemctwntgdetasutootowymfhrgihoerinrsaofretfrnpoeaisyesssnhhtyeuahiwlcteptuaaeanpueelwahloelaresubiinasaeteaecdcgoressropnseevosldudeitlseittfsetesnongiloernteiniwwewhtlirseilhidsrtdesnfhrrtlgnsuaredasoytdsadatenuitcwamenerttoesptotycnyotsoucmuglpadleadoteddsbfelefhaxasonrdtiiipreshiadcscipbhelsinallorfhentrtoraiemalagketmrdcwrnayswsvnuldnrekotnnuutiounnivnihiloeltehnaeftuiattafetlcnrbnbeghosnlonmafkoironanvnsretfcftrdethswspcpeucwtroawphdafisoyagooelnafigdgrtnbltelgfl   o',\n",
+        " 'ihthnrfhetrfafoetanflytsrrroqhtemesiurlrfeshaeetuwiiibhsrtrniioseinihrmrydtpoietctirlbnaphnroohtleirthswepststooyunoherwhchdimcpotonhsaatjihaeneorftesunamgrutrxolwtabtetpertarpeesaehtnrsihrtsntnrslodfhuaggesmekasnituhtyanuyttnnnhgivlwewipafserafialbpaempccaehlhotthswlldauevusaoeeauetaettfheebthlsghrtilaceeatnrhgaahitesfnnuuerprlehtmtidiyuneuniocgednueaieseuhhntlathoeiaiydfniuaneanoieytoehfauldreoayuhrarertreahaiantgoiwswatisutlboxmaeotletortnoooroagcbtapivleenfrywaoetdwuaertwtlnrppfrilearmiltorniqeweucrrdnatfaortonlteeernpmhspdedndweteofhpdeynsneegenaettaeneetrsdulgorseuorbhgdwrapbeynhtketetrrrnhrndeflstosaiwipyntmhoucooyieteopehrknnatnrtlieuieenmrtpaioaehhnhoumuoksvtndeeeioepkwdetgiioiiehnsuafubuentrhiehraeheiaayursuswagissidtlrifhpglwtiiisieushmorraecmsioivedleuloarisdoeiniftsboetasnogfpordsfritlatpertnyoiloytsessonptfeiaheoagaeirtmdiaeatryhgsrraflectelraenevhehvhmiassneorixmlistjpeostbrmfnidhcehontbcnoctpsumseoetnehtifenooenowtteeoitlridgosemoofihlormfdfeusetfelowiirqbdyottzrafntidnotngleaadhspanmehpltntbsohauaplaenmldsrpvanhaleihacnikslcodaetdagohjedaiwyagdtenneheeuegoeeenrodyfrytmectnwtgedtaustotoowmyfhgriheorirnsaforeftrnopeasiyesssnhhtyueahwilcetptauaenapueelwhalolearseubiinaasetaeeccdgoerssorpnesevsolddueiltsetitfestensoniglorentieniwwewthlisreihlidrstdsenfrhrtglnsaureadsotydsdaatneuictwaemnetrtosepttoycynotosucumglapdlaedoetddbsfeelfhxaasnorditiirpesihadsccibpheslinlalofrhetnrtroaimealgakemtrdwcrnyaswvsnudlnrkeotnnuuitounnivinhiolelethneaftiuatatfeltcnbrnbgehonslomnafokirnoannvsrtefctfrdtehsswpcepuctwrowaphadfiosyaogoenlafgidgtrnbtlelfgl   o',\n",
+        " 'tihhfnrhretfoafentaftlysrrrotqhesmeilurrsfeheaetiuwihibsrrtnoiisneiimhrrtydpeoitictrnlbanphrhootilersthwseptostonyuorhewhhcdcimpootnahsaitjhnaeefortuesngamrrutxwolttabeetprrtapseeatehnirshsrtnrtnsdlofahugsgemaekstniuyhtaynutntnnihgvelwwaipfrseaafilabpecmpchaelthotwhslalduuevseaoeeauttaetefhehbtlhsgrltiaeceartnhagaheitsnfnurueperlhttmiydiuunenciogneduieaeusehthnlhatoaeiifydnaiunneaoyiethoeflaudoreahyurearretraihaagntosiwwiatslutbmoxateoloetrotnooorabgctiapvelenyfrweaotudwaterwntlrfppreilairmlrtoneiqwceurnrdaatfoortneltenerpsmhpddenedwtfeohepdynnseeegntaetnaeeretsldugsoreruobdhgwprabneyhetktretrhrnrendftlsoisawyipnhtmooucoeyitpeoekhrntnanlrtiieuemenratpieoahhhnouumovkstendeoeiewpkdgetiiioinehsfuauebunhtrirehaeehiyaauurssgwaiissdrtlipfhgtlwisiiiseuhrmorcaemosiidvelleuoiarsedoifnitosbestanfogpdorsifrttlapterniyoltoyssesotnpfaeihaeogiaerdtmiaaethrygrsraeflclternaeeevhhmvhisasnreoilxmijstpseotmbrfdnihhceobntccnotupsmoseeetnhftieonoewnoteteolitrgidomseoiofhrlomffdeeustlfeoiwirdqbytotzfrandtinnotgaleasdhpmanelhptbntsaohulapamenlrdspnvahealichansikldcoadetahgojaediawygedtnhneeeeugeoeeonrdryfyetmcwtntdgetsautootoywmfrhgiohernirsoafrtefrpnoeiasysesshnhteyuaihwltceputaaaenpeuelawhleolaersuibinsaaeetaedccgroesrsopsneeovsluddetilsiettsfetsenognileornetinwiwehwtlriselihisdrtedsnhfrrltgnusardeasyotdasdaetnuticwmaenretteospottyncyostoumcugpladeladtoedsdbfleefahxaosnrtdiipirehsiacdscpibhlesianllrofhnetrotraeimaalgktemrcdwranysswvnludnerkontnutuionuninvihlioetlehanefutiattaftelcrnbnebghsonlnomakfoiornavnnsertffctredthwssppceuwctraowpdhafsioygaoolenaifgdrgtnlbteglfl   o',\n",
+        " 'hithrnfhterffaoeatnfyltsrrrohqteemsirulrefsheaetwuiibihstrrniiosienirhmrdytpioettcirblnahpnroohtelirhtswpesttsoouynoehrwchhdmicptoonshaajtiheaneroftseunmagrturxlowtbatepteratrpeesahetnsrihtrsnntrsoldfuhagegsmkeasintuthyaunytntnnghivwlewpiafesraifalpbaepmcceahlohttshwldlauveusoaeeuaeteatthfeetbhlgshritlaeceantrhagahtiesnfnueurplrehmttiidyuenunoicgdenuaeieesuhnhtltahoieaidyfnuianaenoeiyteohfualderoauyhrraerrteaahiatngowiswtaistulbxomaoetlteorntoorooacgbtpaivelenrfywoaetwduaretwltnrppfrlieamrilotrnqiewuecrdrnaftaotrontleerenphmspeddnwdetoefhdpeysnnegeeneatteanetersudlgroseourbghdwarpbyenhktetterrnrhrdnefsltoasiwpiynmthocuooiyetoeperhknantntrliueienemrptaiaoehnhhomuuoskvtdneeieoekpwdtegioiiihensaufuubenrthiheraheeiaayusrusawgissidltrihfpgwltiiisiueshomrreacmisoievdlueloraisodeiinftbsoeatsngofprodsrfitaltpretnoyilyotssesopntfieahoeageairmtdieaatyrhgrsralfecetlreanehvehhvmisasnoerimxlitsjpoestrbmfindhechotnbconctspumesoentehitfeonoeonwteteotilrdigoesmofoiholrmdffesuetefloiwirbqdytotzarfnitdntongelaahdspnamephlttnbshoaupalanemlsdrpavnhlaeiahcnkislocdatedaoghjdeaiywagtdenenheueegeoeernodfyrymtecntwtegdtuasttooomwyfghriehorrinsfaorfetronpesaiysesshnhtuyeawhilectpatuaneapeuelhwalloeasreuibinaaseateeccdgeorsosrpensesvoldduelitsteitefstnesoinglroenitenwiwetwhlsirehilirdstsdenrfhrgtlnasuraedstoyddsaanteucitweamntertsoepttoyycnootsuucmgalpdaledeotdbdsfeelfxhaansoridtiripeishasdccbiphselilnalforhtenrrtoamieaglakmetrwdcrynasvwsndulnkreontnuiutonuniivnhoileelthenafituaattfletcbnrngbehnoslmonaofkinroannvstreftcfrtdehsswpecputcwrwoapahdfoisyoagonelagfidtgrntbleflgl   o',\n",
+        " 'thihfrnhrtefofaenatftylsrrrothqesemilrursefheeatiwuihbisrtrnoiisnieimrhrtdypeiotitcrnblanhprhootielrshtwspetotsonuyorehwhchdcmipotonashaijthneaefrotusengmarrtuxwlottbaeeptrratpseeathenisrhstrnrntsdolfauhgsegmakestinuythayuntnntnighvewlwapifresaaiflapbecpmchealtohtwshladluuveseoaeeuatteatehfehtblhgsrlitaeecarnthaaghetisnnfureupelrhtmtiyiduuenncoigndeuiaeeueshtnhlhtaoaieifdynauinnaeoyeitheofluadoerahuyrerarertaiahagtnoswiwitasltubmxoatoeloterontooroabcgtipaveelnyrfweoatuwdatrewnltrfppreliaimrlrotneqiwcuerndraaftootrnetlenrepshmpdednewdtfoehedpynsneegenteatneaertesludgsroeroubdghwparbnyehekttrterhnrrednftsloiaswypinhmtoocuoeiytpoeekrhntannltriiueemneraptieaohhnhoumuovsktedneoieewkpdgteiioiinhesfauueubnhrtirheaeheiyaauusrsgawiissdrltiphfgtwlisiiisuehromrceamoisidevllueoiraseodifintobsesatnfgopdrosirfttalptrenioyltyossseotpnfaiehaoegieardmtiaeathyrgrrsaelfcletrneaeehvhmhvissanroeilmxijtspsoetmrbfdinhhecobtnccontuspmoeseenthfiteoonewonteetoltirgdiomesoifohrolmfdfeesutlefoiiwrdbqyttozfarnditnntogaelashdpmnaelphtbtnsahoulpaamnelrsdpnavhelaicahnskildocadteahogjadeiaywgetdnheneeuegeeoeorndrfyyemtcwnttdegtsuatotooymwfrghioehrnrisofartferponeisaysseshhnteuyaiwhltecpuataanepeeulahwleloaesruiibnsaaeeatedccgreosrospseneosvluddetlisitetseftsneoginleroneitnwwiehtwlrsielhiisrdtesdnhrfrlgtnuasrdaesytodadsaentutciwmeanrtetesopottynycosotumucgpaldealdteodsbdfleefaxhaonsrtidipriehisacsdcpbihlseialnlrfohnterortaemiaaglktmercwdraynssvwnldunekronntutiuonnuinivhloietelhaenfuitatatftlecrbnnegbhsnolnmoakofionravnnsetrfftcretdhwssppecuwtcrawopdahfsoiygoaolneaigfdrtgnltbegfll   o',\n",
+        " 'htihrfnhtreffoaeantfytlsrrrohtqeesmirluresfheeatwiuibhistrrnioisineirmhrdtypieotticrbnlahnprohoteilrhstwpsettosounyoerhwchhdmciptoonsahajithenaerfotsuenmgartruxlwotbtaepetrartpeseahtensirhtsrnnrtsodlfuahgesgmkaesitnutyhauyntnntngihvwelwpaifersaiaflpabepcmcehalothtswhldaluvuesoeaeueatetathefethblghsriltaeecanrthaaghteisnnfueruplerhmttiiydueunnocigdneuaieeeushnthlthaoiaeidfynuainaneoeyitehofuladeorauhyrrearretaaihatgnowsiwtiastlubxmoaoteltoernotorooacbgtpiaveelnryfwoeatwudartewlntrpfprleiamirlortnqeiwucerdnrafatotorntelernephsmpeddnwedtofehdepysnnegeenetatenaetresuldgrsoeorubgdhwaprbynehketttrernhrrdenfstloaiswpyinmhtocouoieytopeerkhnatnntlriuieenmerpatiaeohnhhomuuosvktdeneioeekwpdtgeioiiihnesafuuuebnrhtihreaheeiayausursagwisisdlrtihpfgwtliisiiusehormrecamiosiedvluleoriasoediifntboseastngfoprdosriftatlprtenoiylytossseoptnfiaehoaegeiarmdtieaatyhrgrrsalefceltrenaehevhhmvissanoreimlxitjsposetrmbfidnhehcotbncocntsupmeosenethifteooneownteetotlirdgioemsofiohorlmdffeseutelfoiiwrbdqyttozafrnidtntnogealahsdpnmaeplhttbnshaouplaanmelsrdpanvhleaiachnksilodcatdeaohgjdaeiyawgtednehneueegeeoerondfryymetcnwttedgtusattooomywfgrhieohrrnisfoarfteropnesiaysseshhntueyawihletcpautanaepeeulhawlleoaseruiibnasaeaetecdcgerosorspesnesovldudeltistietesftnseoignlreonietnwwiethwlsriehliirsdtsednrhfrgltnausradestyoddasanetuctiwemantretseoptotyyncoostuumcgapldaeldetodbsdfelefxahanosritdirpieihsascdcbpihsleilanlfrohtnerrotameiagalkmterwcdryansvswndlunkeronntuituonnuiinvholieetlheanfiutaattfltecbrnngebhnsolmnoaokfinoranvnsterftfcrtedhswspepcutwcrwaopadhfosiyogaonleagifdtrgntlbefgll   o']"
+       ]
+      }
+     ],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6bs"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 23,
+       "text": [
+        "'hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnroteletpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvnaiaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrtebltllgfo'"
+       ]
+      }
+     ],
+     "prompt_number": 23
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join([c[0] for c in every_nth(c6bs, 3)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 24,
+       "text": [
+        "'hit'"
+       ]
+      }
+     ],
+     "prompt_number": 24
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6bs.find('e', 13)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 25,
+       "text": [
+        "28"
+       ]
+      }
+     ],
+     "prompt_number": 25
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "len(c6bs) / 978"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 26,
+       "text": [
+        "1.6083844580777096"
+       ]
+      }
+     ],
+     "prompt_number": 26
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6bs[55:60]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 27,
+       "text": [
+        "'bnrrt'"
+       ]
+      }
+     ],
+     "prompt_number": 27
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[(c6bs[0] + c6bs[i] + c6bs[2*i] + c6bs[3*i], i) for i in range(int(len(c6bs) / 3)) if c6bs[i] == 'e' and c6bs[2*i] == 'i' ]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 28,
+       "text": [
+        "[('heih', 177), ('heit', 207), ('heip', 307), ('heil', 522)]"
+       ]
+      }
+     ],
+     "prompt_number": 28
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[c for c in chunks(c6bs, 522)]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 29,
+       "text": [
+        "['hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnrotel',\n",
+        " 'etpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvna',\n",
+        " 'iaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrteb',\n",
+        " 'ltllgfo']"
+       ]
+      }
+     ],
+     "prompt_number": 29
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c6b"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 30,
+       "text": [
+        "'HITHH NFRFE RTEAO FFTNA SLTYO RRREQ THIMS ERULR HFSET AEEIU IWSIH BNRRT SIOII ENIRH MRPYT DTOEI RCITA LNBRP NHTOH ORLIE WTSHT ESPOS OTOYN UWHRE DHHCP ICMNO OTAHA SHTIJ EANET OFRNE USRAG MXURT TOWLE ATBRT EPPTR AAESE NETHH RISNR STSTR NFLDO GHAUM GSESE AKUNT IAHYT TNYUN TNNVH IGWLE WFIAP ASREL FAIEB APCMC PLAHE THTOL HWSUL ADSEU VEAEO TAEUT ATEEF EHLBH TRSHG ATLIA CEEHT RNHGA ASIET UFNNP UREHR ELITT MUDYI NNUEG ICOUE NDEEI AHSUE LHTNO AHTIE AINYF DNIAU OENAT IYEFO HEDAL UAROE RYHUR AERAT ERAHI AONGT WISWS AITBU LTAOM XLETO REOTO TONAO ORTGB CVAIP NLEEW FYRTA EOADU WWETR RTNLR PFPAI ELLRI MNTRO WIEQR ECUAR NDOTA FNROT ELETP ENRPM SHNDD ETDEW HEFOY PEDEN NSNEE GTATE EANES ERTGD LUEOS RBURO WHDGB RPAHE NYTTE KRERT RRHNF NEDOL TSWSI ANIYP OTHMO UOCTY EIEEP ONHKR NNTAI RLTEE IUREM NITAP HOEAO HHNOU UMTKV SENED EEOID PWKIE GTIII OSENH UUFAN BEUIT HRAER HIEEH UAYAS RUSIW GADSI SITRL GFPHI LTWII SIHES URMRO MACEI SOILV DEOEL USAIR IDEOT NFIES OBNTS APOFG SODRT FIRPL TANET RLYIO SOTYO ESSFN TPHEA IGEAO RAIEI TDMTA AEGRH YASRR CFELR TLEEA NEHVE HIVMH NASSI EROIX LMPSJ TTESO FBMRH NDIOC HECNB TTNCO MPUSE SOEHT ENETF IENOO TNWOO TEERI LTOIG DOSME HOIFM LROEF FDTUE SOFLE RWIIY QDBZO TTNRF ANTDI GONTA LAEPD SHEAM NTHLP SNBTU OAHAA LPLEM NPDRS HVNAI AELNH CALIS KACDO AEDTJ GHOIE ADGWA YNDET ENHEG EEUEO EEDNO RYYRF CTEMT TWNTG DETAS UOOOT FWYMI HRGRH OESIN RRAOF RETFE NPOYA ISSES STNHH AYEUL HIWPC TEATU APEAN LUEEL WAHAO ELURE SNBII EASAE TEAGC DCSOR EPSRO ENSEL VOSED UDSIT LTEIT TFSEO ESNLN GINOE RNTEI EIWWL WHTEI RSIIL HTDSR NDESR FHRNT LGRSU ASEDA DOYTA SADUT ENWIT CNAME TERTP OESYT OTOCN YUTSO GCMUD LPADL EADOT EFDSB FELEA HAXRS ONIDT IEIPR ASHIC DCSHI PBIEL SLNAL HORFR ENTAT ORAIE MKLAG RETMR DCWSN AYNWS VNULD OREKU TNNOU TIIUN NHVNI EILOH LTEFN AEATU IFTTA CETLN NRBHB EGLOS NAONM IFKOA RONSN VNFRE TRCFT HDETP SWSUC PERCW TPOAW FHDAY ISOOA GOAEL NDFIG NGRTE BLTLL GFO\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 30
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[i for i in range(len(c6bs)) if c6bs[i] == 'q']"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 42,
+       "text": [
+        "[29, 503, 985]"
+       ]
+      }
+     ],
+     "prompt_number": 42
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join([c[0] for c in every_nth(c6bs, 11)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 32,
+       "text": [
+        "'hithhnfrfer'"
+       ]
+      }
+     ],
+     "prompt_number": 32
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join([c[0] for c in every_nth(c6bs, 13)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 33,
+       "text": [
+        "'hithhnfrferte'"
+       ]
+      }
+     ],
+     "prompt_number": 33
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join([c[0] for c in chunks(c6bs, 121)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 34,
+       "text": [
+        "'hhrnrnumeodti'"
+       ]
+      }
+     ],
+     "prompt_number": 34
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "''.join([c[0] for c in chunks(c6bs, 13)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 35,
+       "text": [
+        "'harrseehthoexttnsneitetghuydoihuouocttiuedeeerrsohiaeefhifsiitiohtreiehseiiszomhhihtdtoeentencsllilrdieodhpbrlakhntnsdwon'"
+       ]
+      }
+     ],
+     "prompt_number": 35
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "'l' in ''.join([c[0] for c in chunks(c6bs, 13)])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 36,
+       "text": [
+        "True"
+       ]
+      }
+     ],
+     "prompt_number": 36
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "every_nth(c6bs, 11)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 38,
+       "text": [
+        "['httmtbnoreohaegaasdetgrmlvtshtenenfiargurredrmcrpwnaegennckehmoinhutioddnrtegmranmmneieseetoetmaaoeoceyiesieaidnseewtrdtttmoaicnagariounanfcfor',\n",
+        " 'ieysaniepwthhtmtenoanwecheehtulueodyratleteupnuomhsnobkeitriotiibisrimeettrsetrnaprbseemfrtnaunecitettmnntwaoecsiorhdnaeeouthesatryeuhirostphat',\n",
+        " 'taoeerrintocaoxbsrgkyllpwaegrfieianeotwtogwwftatsenesrrdyynuekdoeeilsaoosflsaacesshtonrefwntmopldeeeeairpnpneasetentstdnrcdeaihloenknlfbnnhedee',\n",
+        " 'horrerhrhsypsfureshuueflsefanntgahifeeiatbfwprrehfesrpeopenravpsuewgicetaiyfoafhsjnteoihdiranadnoandmshrohcllsollsterlowtnlfxpihrtwuntthmvdralb',\n",
+        " 'hfruitmcthnihrrtntannwaauoethntihtaorrsoocyeaonlnoeebarloiteosweihgfhelnprinreevitdnholotiflthrhadhnturayhtuuarvtneingyipypdrrpoamsthetbinecynl',\n",
+        " 'nfrlusriotuctnteesuttfihlthlgpmcsiuhyawmtvrtiwdedygruhttteamhekntuapeiufopotagleetictttiuyaahascegeotogoaaeereeoelirdrttouassabrirvnvfaefftwidt',\n",
+        " 'fteriipthewmietpttminieeaaliauuoueoehhsxoatreiotdpttrersheinhnihhadhsssiflspirrhreooenofeqnelahadwgrworfiyaeetpsinesesacetdbosifednnnncgkrptsfl',\n",
+        " 'rnqhwoyaoshnjuophrganabtdebaardueaeduialniarletpeeagonrwmprineeurysiuoaegtohehtioscmnwimsdtpplvltaeynohrsetlsesetgiisusnsslfnhermcuoiaeloespoil',\n",
+        " 'fatfsitlrproeswthnshvpahsuhcseyelinaraieapetlqaetdtdwyhsooltodguaailriissateiylviohpeoglobddspnijyeyttoesuuwnardtiwiraaayoeeiilekwlueetoatwoogg',\n",
+        " 'eshsiidnloeoarlrrfeyhaptetteihinhnalaottononrrfndeelhtniuntauetfesstmlroonyataemxfeutodrfzisnlasgnurgfetelaabgoufnwlfsdmtgaldcsnlsdtialsrrsaanf',\n",
+        " 'rliehetbisdtnaeailstiscouareerndtytuenboolalienreneudtfaohepueiarriwrvibdeoidsehlbcsftoologhbeikhdefdwsfshphicedsolhheueocdetdltanoiltnnocuwggo']"
+       ]
+      }
+     ],
+     "prompt_number": 38
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "every_nth(c6bs, 143)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 64,
+       "text": [
+        "['hetuehroera',\n",
+        " 'iteloirnnny',\n",
+        " 'toetsectptn',\n",
+        " 'hffarefaolw',\n",
+        " 'hreobhelygs',\n",
+        " 'nnhmuulaarv',\n",
+        " 'felxrareisn',\n",
+        " 'rubloytpsuu',\n",
+        " 'fshewaldsal',\n",
+        " 'ertthsesesd',\n",
+        " 'rarodrehseo',\n",
+        " 'tgsrguaesdr',\n",
+        " 'emhebsnatae',\n",
+        " 'axgoriemndk',\n",
+        " 'ouatpwhnhou',\n",
+        " 'frtoagvthyt',\n",
+        " 'ftlthaehatn',\n",
+        " 'ttioedhlyan',\n",
+        " 'noannsipeso',\n",
+        " 'awcayivsuau',\n",
+        " 'sleotsmnldt',\n",
+        " 'leeotihbhui',\n",
+        " 'tahretntiti',\n",
+        " 'ytttkrauweu',\n",
+        " 'obrgrlsopnn',\n",
+        " 'rrnbegsacwn',\n",
+        " 'rthcrfihtih',\n",
+        " 'regvtpeaetv',\n",
+        " 'epaarhraacn',\n",
+        " 'qpairioltni',\n",
+        " 'ttsphlipuae',\n",
+        " 'hrinntxlami',\n",
+        " 'iaelfwlepel',\n",
+        " 'matenimmeto',\n",
+        " 'seueeipnaeh',\n",
+        " 'esfwdsspnrl',\n",
+        " 'renfoijdltt',\n",
+        " 'unnylhtrupe',\n",
+        " 'leprtetseof',\n",
+        " 'rtutsseheen',\n",
+        " 'hhrawusvlsa',\n",
+        " 'fheesronwye',\n",
+        " 'srhoimfaata',\n",
+        " 'eiraarbihot',\n",
+        " 'tsednomaatu',\n",
+        " 'anluimreooi',\n",
+        " 'eriwyahlecf',\n",
+        " 'estwpcnnlnt',\n",
+        " 'itteoedhuyt',\n",
+        " 'usmttiicrua',\n",
+        " 'iturhsoaetc',\n",
+        " 'wrdrmoclsse',\n",
+        " 'snytoihinot',\n",
+        " 'ifinulesbgl',\n",
+        " 'hlnlovckicn',\n",
+        " 'bdnrcdnaimn',\n",
+        " 'nouptebceur',\n",
+        " 'rgefyotdadb',\n",
+        " 'rhgpeetoslh',\n",
+        " 'taiailnaapb',\n",
+        " 'sucieuceeae',\n",
+        " 'imoeesodtdg',\n",
+        " 'ogulpamtell',\n",
+        " 'iseloipjaeo',\n",
+        " 'ienrnruggas',\n",
+        " 'esdihishcdn',\n",
+        " 'neemkdeodoa',\n",
+        " 'iaenresicto',\n",
+        " 'rkitnooesen',\n",
+        " 'huarnteaofm',\n",
+        " 'mnhotnhdrdi',\n",
+        " 'rtswaftgesf',\n",
+        " 'piuiiiewpbk',\n",
+        " 'yaeerenasfo',\n",
+        " 'thlqlseyrea',\n",
+        " 'dyhrtotnolr',\n",
+        " 'ttteebfdeeo',\n",
+        " 'otncenienan',\n",
+        " 'enouitetshs',\n",
+        " 'iyaausneean',\n",
+        " 'ruhrraonlxv',\n",
+        " 'cntnepohvrn',\n",
+        " 'itidmoteosf',\n",
+        " 'tneonfngsor',\n",
+        " 'anatigweene',\n",
+        " 'lviatsoedit',\n",
+        " 'nhnfaoouudr',\n",
+        " 'biynpdtedtc',\n",
+        " 'rgfrhreosif',\n",
+        " 'pwdooteeiet',\n",
+        " 'nlntefretih',\n",
+        " 'heieaiidlpd',\n",
+        " 'twalorlntre',\n",
+        " 'ofuehptoeat',\n",
+        " 'hiothlorisp',\n",
+        " 'oaepntiyths',\n",
+        " 'rpneoagytiw',\n",
+        " 'laanundrfcs',\n",
+        " 'istrueofsdu',\n",
+        " 'eripmtscecc',\n",
+        " 'weymtrmtosp',\n",
+        " 'tleskleeehe',\n",
+        " 'sffhvyhmsir',\n",
+        " 'haonsiotnpc',\n",
+        " 'tihdeoitlbw',\n",
+        " 'eeednsfwnit',\n",
+        " 'sbdeeomngep',\n",
+        " 'paatdtltilo',\n",
+        " 'opldeyrgnsa',\n",
+        " 'scueeoodolw',\n",
+        " 'omawoeeeenf',\n",
+        " 'tcrhisftrah',\n",
+        " 'opoedsfanld',\n",
+        " 'ylefpfdstha',\n",
+        " 'narowntueoy',\n",
+        " 'uhyyktuoiri',\n",
+        " 'wehpipeoefs',\n",
+        " 'htueehsoiro',\n",
+        " 'rhrdgeotweo',\n",
+        " 'etaetaffwna',\n",
+        " 'doeniilwltg',\n",
+        " 'hlrnigeywao',\n",
+        " 'hhasiermhta',\n",
+        " 'cwtnoawitoe',\n",
+        " 'pseesoiherl',\n",
+        " 'iureeririan',\n",
+        " 'clagnaygrid',\n",
+        " 'mahthiqrsef',\n",
+        " 'ndiauedhimi',\n",
+        " 'osatuiboikg',\n",
+        " 'oeoeftzelln',\n",
+        " 'tuneadoshag',\n",
+        " 'avganmtitgr',\n",
+        " 'hetnbttndrt',\n",
+        " 'aaweeanrsee',\n",
+        " 'seisuarrrtb',\n",
+        " 'hoseiefanml',\n",
+        " 'ttwrtgaodrt',\n",
+        " 'iasthrnfedl',\n",
+        " 'jeagrhtrscl',\n",
+        " 'euidayderwg',\n",
+        " 'attleaitfsf',\n",
+        " 'nabursgfhno']"
+       ]
+      }
+     ],
+     "prompt_number": 64
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[(q, u) for q in [i for i in range(len(c6bs)) if c6bs[i] == 'q'] for u in [i for i in range(len(c6bs)) if c6bs[i] == 'u'] if abs(q-u) < 13]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 44,
+       "text": [
+        "[(29, 37), (503, 507), (985, 973)]"
+       ]
+      }
+     ],
+     "prompt_number": 44
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "every_nth(c6bs, 13)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 54,
+       "text": [
+        "['harrseehthoexttnsneitetghuydoihuouocttiuedeeerrsohiaeefhifsiitiohtreiehseiiszomhhihtdtoeentencsllilrdieodhpbrlakhntnsdwon',\n",
+        " 'iorhiniterttuehfeywehueagrieaaernltvanmalddeoptwukuongaiwpuldsrsedrheseenlfoonnavsoenwtsnhelbdetnwhnotsgoarieayuvalanetog',\n",
+        " 'tfefhiroseaorphlaufbtvetaenehudagtoaelnreeeasarsorrhetneghrveapoamcvrocsotmftttankinonfiphawiclegwttycyctxaengntnenovtpar',\n",
+        " 'hfqsbrchpdhftprdkniaoeflahnitoaetatiortnttnnrhricnehdibeaimdopltitfeofnooolltahlaaehrtwnoataisviildltntmersltrwniannnpogt',\n",
+        " 'httenhiooharttioutaplaeisruaielrwoopaprdpdnebehatnmneiehdlretotygaehibbetirenllpicaeygyryyuheootnwsgaaoufshsaesnetrmfsaoe',\n",
+        " 'nnhtrmtrshsnorsgnnpchehaieehenuaimnndfooeessunnnytnoeiuustoonfaoealixmthngorrapladdgydmraeaaarstohrrsmtddoilttvoiubirwwab',\n",
+        " 'faiarralochewanhtnamwolcelgsaaatsxalupwtnwneryfieaiuooiaiwmefgneaervlrttwdewfeseeogereiaiuposeefetnsaeolsncnomnulihfesfel',\n",
+        " 'rsmetplitptularaivscstbetiiuitrewloewaiarherotnyiituistysialisesogtmmhneoofiapnmlawefthosleeapdsredudtcpbidarrutofbktuhlt',\n",
+        " 'flsesyneoiiseesuahrpuaheutceniorseoewiefpeetwteperamdehaiicueotsrrlhpncnosfindbnneaucarfshalesuenieauenafdcladlihteorcdnl',\n",
+        " 'eteiitbwycjrastmhiellethftolyyeaatrweeqnmfgghedoelptpnrstsessdrfahensdoetmdytstphdyetsgreinutrdotrsstrydetshicdiltgacpadl',\n",
+        " 'ryruodrtnmeatesgyglaaurtnmuhferhiotftlrrsotddkotpthkwharriiaorlniyeajimteetqdhudctnoeureswlreoseesreetullihoewoutalrfeyfg',\n",
+        " 'touiitpsunagbntstwfhdtsrnuetdfyitrgyrleohyalgrlhoeovkueulhsibtyteaastopfehudieorajdemohtspueaeisiifdnpteeeirmsrnecootriif',\n",
+        " 'erlwionhwonmreretlaesahnpdnnnohabebrrrctnptubetmneesiursgeornfipisnstcuiroebgaaslgeetooftcesgntneihawosaaipfknenfesnhcsgo']"
+       ]
+      }
+     ],
+     "prompt_number": 54
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[''.join(transpose(l, (3, 11, 0, 1, 2, 4, 5, 6,7, 8, 9, 10, 12))) for l in chunks(c6bs, 13)]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 61,
+       "text": [
+        "['hthithnfrfere',\n",
+        " 'foaoftnasltyr',\n",
+        " 'qurrethimserl',\n",
+        " 'sirhfetaeeiuw',\n",
+        " 'bisihnrrtsioi',\n",
+        " 'rtenihmrpytdo',\n",
+        " 'cpeiritalnbrn',\n",
+        " 'hshtoorliewth',\n",
+        " 'putesosotoynw',\n",
+        " 'dnhrehhcpicmo',\n",
+        " 'haotaashtijen',\n",
+        " 'fgetorneusram',\n",
+        " 'tbxurtowleatr',\n",
+        " 'pnteptraaesee',\n",
+        " 'rtthhisnrstsr',\n",
+        " 'dsnfloghaumge',\n",
+        " 'ktseauntiahyt',\n",
+        " 'nwnyutnnvhigl',\n",
+        " 'ifewfapasrela',\n",
+        " 'ahiebpcmcplae',\n",
+        " 'odthtlhwsulas',\n",
+        " 'eteuvaeotaeua',\n",
+        " 'fsteeehlbhtrh',\n",
+        " 'lrgatiaceehtn',\n",
+        " 'anhgasietufnp',\n",
+        " 'huurerelittmd',\n",
+        " 'neyinuegicoun',\n",
+        " 'itdeeahsuelhn',\n",
+        " 'tdoahieainyfn',\n",
+        " 'ofiauenatiyeo',\n",
+        " 'ayhedluaroerh',\n",
+        " 'eiurarateraha',\n",
+        " 'ttongwiswsaib',\n",
+        " 'arultomxletoe',\n",
+        " 'tgotoonaoortb',\n",
+        " 'iycvapnleewfr',\n",
+        " 'ortaeaduwwetr',\n",
+        " 'rltnlpfpaielr',\n",
+        " 'teimnrowieqrc',\n",
+        " 'nouardotafnrt',\n",
+        " 'thelepenrpmsn',\n",
+        " 'tyddedewhefop',\n",
+        " 'naedensneegtt',\n",
+        " 'nleeaesertgdu',\n",
+        " 'rgeosburowhdb',\n",
+        " 'hrrpaenytteke',\n",
+        " 'rlrtrhnfnedot',\n",
+        " 'ihswsaniypotm',\n",
+        " 'coouotyeieepn',\n",
+        " 'nehkrntairlte',\n",
+        " 'eoiurmnitaphe',\n",
+        " 'hvaohnouumtks',\n",
+        " 'dkeneeeoidpwi',\n",
+        " 'iuegtiiosenhu',\n",
+        " 'befaneuithrar',\n",
+        " 'euhiehuayasrs',\n",
+        " 'aliwgdsisitrg',\n",
+        " 'ihfphltwiisie',\n",
+        " 'mssurromaceio',\n",
+        " 'diilveoelusar',\n",
+        " 'obidetnfieson',\n",
+        " 'pttsaofgsodrf',\n",
+        " 'lyirptanetrli',\n",
+        " 'ttosoyoessfnp',\n",
+        " 'ieheageaoraii',\n",
+        " 'tatdmaaegrhys',\n",
+        " 'farrcelrtleen',\n",
+        " 'esehvhivmhnas',\n",
+        " 'otierixlmpsjt',\n",
+        " 'foesobmrhndic',\n",
+        " 'nphecbttncomu',\n",
+        " 'ofsesehteneti',\n",
+        " 'oeenotnwooter',\n",
+        " 'ohiltigdosmeo',\n",
+        " 'luifmroeffdte',\n",
+        " 'ldsoferwiiyqb',\n",
+        " 'tizotnrfantdg',\n",
+        " 'aeontlaepdsha',\n",
+        " 'homntlpsnbtua',\n",
+        " 'lrhaaplemnpds',\n",
+        " 'aahvniaelnhcl',\n",
+        " 'ajiskcdoaedtg',\n",
+        " 'edhoiadgwayne',\n",
+        " 'hetenegeeueoe',\n",
+        " 'rmdnoyyrfctet',\n",
+        " 'totwngdetasuo',\n",
+        " 'whotfymihrgro',\n",
+        " 'ntesirraofref',\n",
+        " 'osenpyaissest',\n",
+        " 'apnhhyeulhiwc',\n",
+        " 'tuteauapeanle',\n",
+        " 'aeelwhaoelurs',\n",
+        " 'ianbieasaeteg',\n",
+        " 'secdcorepsron',\n",
+        " 'viselosedudst',\n",
+        " 'isltettfseoen',\n",
+        " 'iilngnoerntee',\n",
+        " 'liiwwwhteirsi',\n",
+        " 'dflhtsrndesrh',\n",
+        " 'ldrntgrsuasea',\n",
+        " 'tndoyasadutew',\n",
+        " 'npitcameterto',\n",
+        " 'ttesyotocnyus',\n",
+        " 'meogcudlpadla',\n",
+        " 'eedotfdsbfela',\n",
+        " 'rehaxsonidtii',\n",
+        " 'siprahicdcshp',\n",
+        " 'lrbieslnalhof',\n",
+        " 'tmrenatoraiek',\n",
+        " 'rslagetmrdcwn',\n",
+        " 'wraynsvnuldoe',\n",
+        " 'nnkutnoutiiun',\n",
+        " 'iehvneilohltf',\n",
+        " 'acnaetuifttae',\n",
+        " 'notlnrbhbegls',\n",
+        " 'nonaomifkoarn',\n",
+        " 'ntsnvfretrcfh',\n",
+        " 'prdetswsucpec',\n",
+        " 'oiwtpawfhdays',\n",
+        " 'giooaoaelndfg',\n",
+        " 'tfngrebltllgo']"
+       ]
+      }
+     ],
+     "prompt_number": 61
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/2013-challenge7.ipynb b/2013-challenge7.ipynb
new file mode 100644 (file)
index 0000000..d7d18f4
--- /dev/null
@@ -0,0 +1,321 @@
+{
+ "metadata": {
+  "name": ""
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from cipherbreak import *\n",
+      "with open('2013/mona-lisa-words.txt') as f:\n",
+      "    mlwords = [line.rstrip() for line in f]\n",
+      "mltrans = collections.defaultdict(list)\n",
+      "for word in mlwords:\n",
+      "    mltrans[transpositions_of(word)] += [word]\n",
+      "c7a = open('2013/7a.ciphertext').read()\n",
+      "c7b = open('2013/7b.ciphertext').read()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c1a = open('2013/1a.ciphertext').read()\n",
+      "c1b = open('2013/1b.ciphertext').read()\n",
+      "c2a = open('2013/2a.ciphertext').read()\n",
+      "c2b = open('2013/2b.ciphertext').read()\n",
+      "c3a = open('2013/3a.ciphertext').read()\n",
+      "c3b = open('2013/3b.ciphertext').read()\n",
+      "c4a = open('2013/4a.ciphertext').read()\n",
+      "c4b = open('2013/4b.ciphertext').read()\n",
+      "c5a = open('2013/5a.ciphertext').read()\n",
+      "c5b = open('2013/5b.ciphertext').read()\n",
+      "\n",
+      "p1a = caesar_decipher(c1a, 8)\n",
+      "p1b = caesar_decipher(c1b, 14)\n",
+      "p2a = affine_decipher(c2a, 3, 3, True)\n",
+      "p2b = caesar_decipher(c2b, 6)\n",
+      "p3a = affine_decipher(c3a, 7, 8, True)\n",
+      "p3b = keyword_decipher(c3b, 'louvigny', 2)\n",
+      "p4a = keyword_decipher(c4a, 'montal', 2)\n",
+      "p4b = keyword_decipher(c4b, 'salvation', 2)\n",
+      "p5a = keyword_decipher(c5a, 'alfredo', 2)\n",
+      "p5b = vigenere_decipher(sanitise(c5b), 'florence')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(frequencies(sanitise(c7a)))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stderr",
+       "text": [
+        "/usr/local/lib/python3.3/dist-packages/matplotlib/figure.py:372: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
+        "  \"matplotlib is currently using a non-GUI backend, \"\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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vvs0fvx4paamyuFw+O3J4XDoyJEjSktLk91u91lXWFioxYsXa+LEiTrnnHN0zjnn+Az2FStW6Oyz\nz9a1116rzs5OTZo0SR6PR06n02fPl1xyiRITE7t9/h5//HEdPHhQF198sSTpwgsv1FNPPeV3mr6E\nD+oi7I4ePaqBAweqra1NU6ZM0dNPP628vLxe6eXzzz/v1WNbva22tlbTp0/Xrl27gp520aJFGjRo\nkO64444IdBa7Ojs7NW7cOK1evVrnn39+b7djNHbxIexuueUW5efna9y4cbr66qt7LZwOHDigSZMm\n6a677uqV5ZuiJ7vpomH3bDSpqalRRkaGpk6dSjgFgBEUAMBIjKAAAEYioAAARiKgAABGIqAAAEYi\noAAARiKgAABG+j/og6x5jaDpPwAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xb55607cc>"
+       ]
+      }
+     ],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c7af = frequencies(sanitise(c7a))\n",
+      "plot_frequency_histogram(c7af, sort_key=lambda l: c7af[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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F/Q/1dXVmj59unbt2tXXrUQ0NvEZwvRNfKF04MABTZo0SXfffXdQxquqqlJaWpqmTp3arXCSpFtv\nvVW5ubkaN26crrnmGsIJEf07aQpmUAAAIzGDAgAYiYACABiJgAIAGImAAgAYiYACABiJgAIAGOn/\nARTQq3riH9t+AAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xaeb102cc>"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(normalised_english_counts, sort_key=lambda l: normalised_english_counts[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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1Gn77YYbbtDf/vY3HT58WJJa/g3mlltuUVlZmXbt2qWcnJw268aPH69ly5ZpwoQJGj9+vF5++WWN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\nwv8DbMnA/BWkp54AAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xaeae5cec>"
+       ]
+      }
+     ],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c7bf = frequencies(sanitise(c7b))\n",
+      "plot_frequency_histogram(c7bf, sort_key=lambda l: c7bf[l])"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xaeb95f8c>"
+       ]
+      }
+     ],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(c7bf)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0xaeaa372c>"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plot_frequency_histogram(normalised_english_counts)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAH6NJREFUeJzt3X9QVXX+x/HXNSgLpNQxG++lUCF+CF5QkVGXxGwXtXTM\ntJg03bQidx23xmprahNn+1ZOuptGP7CZtXHb3B/ujrjKMq26d0ZLl0zsx6CNFtQF09rMwF8E18/3\nD5Mi4dwLiNwPPh8zd+Rw3+fc9+fciy8+5xzudRljjAAACHM9uroBAABCQWABAKxAYAEArEBgAQCs\nQGABAKxAYAEArBA0sEpLS5WUlKSEhAQtXbr0nPv37dunUaNGqWfPnlq+fPk59wcCAWVkZGjy5Mnn\np2MAwEUpwunOQCCgBQsWaPPmzXK73crMzNSUKVOUnJzcVNO3b1+98MILWr9+fYvbWLFihVJSUlRX\nV3d+OwcAXFQcZ1hlZWWKj49XXFycIiMjlZeXp+Li4mY1/fr104gRIxQZGXnO+tXV1SopKdE999wj\n/j4ZANARjoFVU1Oj2NjYpmWPx6OampqQN/7ggw/queeeU48enCoDAHSMY5K4XK52b3jjxo26+uqr\nlZGRwewKANBhjuew3G63/H5/07Lf75fH4wlpw2+//bY2bNigkpISnTp1SrW1tZo9e7bWrFnTrC49\nPV3vvfdeO1oHAHQ3Xq9Xe/bsaflO46ChocEMGjTIVFZWmvr6euP1ek1FRUWLtYsXLzbLli1r8T6f\nz2duueWWFu8L0oL1Fi9eTG0Y9UFt22vDpQ9q219vE6dMcJxhRUREqLCwULm5uQoEApo3b56Sk5NV\nVFQkScrPz9ehQ4eUmZmp2tpa9ejRQytWrFBFRYWio6ObbasjhxcBAHAMLEmaOHGiJk6c2Ox7+fn5\nTV9fc801zQ4btmTs2LEaO3ZsO1sEAEC6pKCgoKArG1iyZIm6uIVOFxcXR20Y9UFt22vDpQ9q219v\nC6dMcH13zLDLuFwuriIEAEhyzgT+QAoAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUC\nCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsA\nYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBghZACq7S0VElJSUpISNDSpUvPuX/f\nvn0aNWqUevbsqeXLlzd93+/3a9y4cRoyZIhSU1O1cuXK89c5AOCi4jLGGKeCQCCgxMREbd68WW63\nW5mZmVq7dq2Sk5Obar788kt9+umnWr9+vXr37q1FixZJkg4dOqRDhw4pPT1dx44d0/Dhw7V+/fpm\n67pcLgVpAQBwkXDKhKAzrLKyMsXHxysuLk6RkZHKy8tTcXFxs5p+/fppxIgRioyMbPb9a665Runp\n6ZKk6OhoJScn6+DBg+0dBwDgIhY0sGpqahQbG9u07PF4VFNT0+YHqqqqUnl5ubKystq8LjpPTEwf\nuVwux1tMTJ+ubhMAFBGswOVydfhBjh07punTp2vFihWKjo7u8PZw/tTVfS3J+ZBsXV3HXwMA0FFB\nA8vtdsvv9zct+/1+eTyekB+goaFBt912m2bNmqWpU6e2WFNQUND0dU5OjnJyckLePgDAXj6fTz6f\nL6TaoBddNDY2KjExUVu2bNGAAQM0cuTIcy66OKugoEC9evVquujCGKM5c+aob9+++v3vf99yA1x0\n0aXOzKCD7X+eIwAXhlMmBA0sSfrXv/6lBx54QIFAQPPmzdNjjz2moqIiSVJ+fr4OHTqkzMxM1dbW\nqkePHurVq5cqKiq0Z88e3XDDDRo6dGjTocVnnnlGEyZMCKk5dD4CC0A46XBgdSYCq2sRWADCSYcu\nawcAIBwQWAAAKxBYAAArEFgAACsQWAAAKxBYAAArEFgAACsQWAAAKxBYAAArEFgAACsQWAAAKxBY\nAAArEFgAACsQWAAAKxBYAAArEFgAACsQWAAAKxBYAAArEFgAACsQWAAAKxBYAAArEFgAACsQWAAA\nKxBYAAArEFgAACsQWAAAKxBYAAArEFgAACsEDazS0lIlJSUpISFBS5cuPef+ffv2adSoUerZs6eW\nL1/epnUBAAiVyxhjWrszEAgoMTFRmzdvltvtVmZmptauXavk5OSmmi+//FKffvqp1q9fr969e2vR\nokUhrytJLpdLDi2gk7lcLknB9j/PEYALwykTHGdYZWVlio+PV1xcnCIjI5WXl6fi4uJmNf369dOI\nESMUGRnZ5nUBAAiVY2DV1NQoNja2adnj8aimpiakDXdkXQAAfswxsM4cLmqfjqwLAMCPRTjd6Xa7\n5ff7m5b9fr88Hk9IG27LugUFBU1f5+TkKCcnJ6THAADYzefzyefzhVTreNFFY2OjEhMTtWXLFg0Y\nMEAjR45s8cIJ6Uzo9OrVq+mii1DX5aKLrsVFFwDCiVMmOM6wIiIiVFhYqNzcXAUCAc2bN0/Jyckq\nKiqSJOXn5+vQoUPKzMxUbW2tevTooRUrVqiiokLR0dEtrgsAQHs4zrAuSAPMsLoUMywA4aTdl7UD\nABAuCCwAgBUILACAFQgsAIAVCCwAgBUILACAFQgsAIAVCCwAgBUILACAFQgsAIAVCCwAgBUILACA\nFQgsAIAVCCwAgBUILACAFQgsAGEnJqaPXC6X4y0mpk9Xt4kLjA9wvMjxAY4IR7wuL158gCMAwHoE\nFgDACgQWAMAKBBYAwAoEFgDACgQWAMAKBBYAwAoEFgDACgQWAMAKBBYAwAoEFgDACkEDq7S0VElJ\nSUpISNDSpUtbrFm4cKESEhLk9XpVXl7e9P1nnnlGQ4YMUVpamu68807V19efv84BABcVx8AKBAJa\nsGCBSktLVVFRobVr12rv3r3NakpKSnTgwAHt379fq1at0vz58yVJVVVVevXVV7V792598MEHCgQC\n+vOf/9x5IwEAdGuOgVVWVqb4+HjFxcUpMjJSeXl5Ki4ublazYcMGzZkzR5KUlZWlo0eP6vDhw4qJ\niVFkZKROnDihxsZGnThxQm63u/NGAgDo1hwDq6amRrGxsU3LHo9HNTU1IdX06dNHixYt0rXXXqsB\nAwboqquu0k033XSe2wcAXCwcA+vMZ9IE19Jnl3z88cd6/vnnVVVVpYMHD+rYsWP605/+1L4uAZyD\nDznExSbC6U632y2/39+07Pf75fF4HGuqq6vldrvl8/k0evRo9e3bV5I0bdo0vf3225o5c+Y5j1NQ\nUND0dU5OjnJyctozFuCiUlf3tYJ9yGFdXWi/dAJdxefzyefzhVZsHDQ0NJhBgwaZyspKU19fb7xe\nr6moqGhWs2nTJjNx4kRjjDE7duwwWVlZxhhjysvLzZAhQ8yJEyfM6dOnzezZs01hYeE5jxGkBXQy\nSUYyQW48R+GoOz933XlscOb0vDrOsCIiIlRYWKjc3FwFAgHNmzdPycnJKioqkiTl5+dr0qRJKikp\nUXx8vKKiorR69WpJUnp6umbPnq0RI0aoR48eGjZsmO677752JTAAAK7vEq3rGnC5WjwHZqOYmD7f\nHaZpXa9evVVbe+QCdRTcmfOUwfZ/93mOupPu/Nx157HBmVMmEFjnkY0/ZDb2jDO683PXnccGZ06Z\nwFszAQCsQGABAKxAYAEArEBgAQCsQGABAKxAYAEArEBgAQCsQGABAKxAYAEArEBgAQCsQGABAKxA\nYAEArEBgAQCsQGABAKxAYAEArEBgAQCsQGABAKxAYAEArEBgwSoxMX3kcrkcbzExfbq6TQCdgMCC\nVerqvpZkHG9nauxEIAOtI7DQ5fhP+nvdPZCBjojo6gaA7/+TdqpxXZhmAIQtZlgAACsQWAAuCA79\noqM4JAjgguDQLzqKGRYAwAoEFgDACkEDq7S0VElJSUpISNDSpUtbrFm4cKESEhLk9XpVXl7e9P2j\nR49q+vTpSk5OVkpKinbu3Hn+OgcAXFQcAysQCGjBggUqLS1VRUWF1q5dq7179zarKSkp0YEDB7R/\n/36tWrVK8+fPb7rvV7/6lSZNmqS9e/fq/fffV3JycueMAgDQ7TkGVllZmeLj4xUXF6fIyEjl5eWp\nuLi4Wc2GDRs0Z84cSVJWVpaOHj2qw4cP65tvvtG2bds0d+5cSVJERISuvPLKThoGAKC7cwysmpoa\nxcbGNi17PB7V1NQEramurlZlZaX69eunu+++W8OGDdO9996rEydOnOf2AQAXC8fAcrlCu8TUmOaX\nqrpcLjU2Nmr37t36xS9+od27dysqKkrPPvts+zsFAFzUHP8Oy+12y+/3Ny37/X55PB7Hmurqarnd\nbhlj5PF4lJmZKUmaPn16q4FVUFDQ9HVOTo5ycnLaOg4AXSAmpk/Q9zbs1au3amuPXKCOYBufzyef\nzxdasXHQ0NBgBg0aZCorK019fb3xer2moqKiWc2mTZvMxIkTjTHG7Nixw2RlZTXdl52dbT766CNj\njDGLFy82jzzyyDmPEaQFq0gykglyC6/xhkPPbekhHPrtTLbti87qNxzGhq7h9Lw6zrAiIiJUWFio\n3NxcBQIBzZs3T8nJySoqKpIk5efna9KkSSopKVF8fLyioqK0evXqpvVfeOEFzZw5U99++60GDx7c\n7D4AANrC9V2idV0DLtc558BsdeacX7CxhNd4w6HntvQQDv12Jtv2RWf1Gw5jQ9dwygTe6QIAYAUC\nCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsA\nYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQILAGAFAgsAYAUCCwBgBQ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4cOaO3eu4/hee+01+f3+i/acHjOsTlJbW6vevXurZ8+e2rdvn3bu3OlY/9lnnzXVvPHGG63+5nbj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\nEFgAACsQWAAAKxBYAAArEFgAACv8P5ZWvQDqsWNNAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0xaeb47b6c>"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "c7a"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 10,
+       "text": [
+        "'WWPA, AWHCRH MDY IOT NJHGK HJWLSBALH HI AWL BBHLJT, X DTUI PC VC MGPSHN HCK AHXK AVL BCAXS PMILG JAVHPCN IPBL. PZ ESPUCLS AWL RYPAT DPZ SLAPKLGLS AD AWLXY NHGK DU UYXKPF PMILGUDVC, ADV AHIL UVG HCFDUT AD WGVRLHZ XA, PUS AWL QVPYS DPZ THHF IV SLIHRO UYDT IOT IPZT. LMJTSALCA XKTH IV BHZL IOT WPPCAXUV SDVZ SXRT WPYI VU AWL QVM IN AWL LHN - UD-VCL LHH NDPCN IV IBGU XA DCTY IV AVDR XM IOTF SPSU\u2019I RCVL PI DPZ IOTYT, HCK IOTF LLGL EYTAIF JUAPZLAF IV QL AVDRXUV MDY HVBLDUT AD ZBBVNAL P WPPCAXUV PC HCFLHN. \\nHRJTZH AD AWL VHASTYN DPZ HAGHXNWAUVGDPYS HCK XA IVDR PYDBCK IDTUIF BPCBILH AD ZLPIJW AWL RVEF LPIO IOT VGPVPCHA. P WPS AWL EHXUIPCN PTDUV H QBCJW VU YTWGVSBRAXVCZ XU IOT TJZTBB ZWVE HCK RHBWTK DBI MDY IOT UXNWA XU IOT NJHGKH\u2019 IPAWYDVB. AJYCZ DBI AWLN WGLULG AD BHL IOT KXYTJIVGZ\u2019 UHRPAPIPTZ JW DU IOT ADW USDVG. DXAW AWL CLL LMOXIXAXVC VELCPCN DU HHIBGKPF IOT WAHRL LHH IJZN LCVJNW AD ZAPE VJA UPGZI AWPCN PUS, HH HGYPUVLS, P BHSL HBGL X DPZ UPGZI PCAD AWL HODW. X UDD WHKL IOT ODUDBG VU OPCXUV IDBVOI AWL ROTHELHA TCTY LVGR QF SH KPCJX. VG UDA. \\nIOT E-GHN YTZJSIZ RHBL QHRR IOXZ BVGUXUV HCK, PZ NVJ ZJZELRATK, IOXZ XZ DUT VU ZPYP\u2019Z UHZLH. P PT IVAK XA XZ RSDZT AD WTYULRA, QBI, OXKSLC BCKTY IOT SPFTYH VU WPPCA, HOT ZRYXIQSTK P WXJIBGL DM IOT UPGX LPNAL TTQSTT XU ALPK. HOT ZXNCLS PI Z IVD. AWL ILRO VBNZ IOXUZ ZWL BHN OPCT BHLS H QPI VU VAK EPEL APZL P JGHNVC AD KTMPJT AWL QVPYS ITMDYT ZWL HAPYILS DDYZ VC PI. HCFLHN, AWHI STHKLH AWL FBTZIPDU DM LOTYT AWL WLAS IOT YTHA WPPCAXUV TXNWA QL. XA\u2019H OPYS AD ITSXLKL IOPA HOT STMI PI DXAW AWL HZ PUS P RHC\u2019A HLT OTY VVXUV VC AWL GBC DXAW PI ZIBRR JUSLG OTY RVPA. XA\u2019H UDA APZL HOT JDBAK GVAS XA JW. \\nX DDYZLS AWYDBVO HVBL BVGL DM IOT UPGX WPWTYH HCK UVJUS AWPH UDAT. HI STHHA XA ILASH BH DWLGL HOT DTUI. SDVZZ APZL IOT JXWWLG JALGR LHH IPJZ IN AWL LHN. P WHKL BVKLS VC AD CTUXJT AD AGF IV UPCK PUN AGHRL DM HHGH IOTYT, IJA X OPCT H ULTSXUV AWL HVABIPDU IV IOXZ BFHATYN PH IPJZ PC WPYXZ LOTYT PI HAS QLVHC. P ALUA IOT WPPCAXUV HI AWL EHGPH VUMXJT. TPFQL NVJ JDBAK PYGHCNT AD YTAJYC PI? PI ZWVJSS IT LPZXLG AD NTA XA XU IOPU XA LHH AD LMAGHRA XA. \\nPSA AWL QLHA, \\nWHGYN\\n'"
+       ]
+      }
+     ],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "vigenere_frequency_break(sanitise(c7a))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 12,
+       "text": [
+        "('hp', 0.03214089578198264)"
+       ]
+      }
+     ],
+     "prompt_number": 12
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "' '.join(segment(vigenere_decipher(sanitise(c7a), 'hp')))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 15,
+       "text": [
+        "'phil thanks for the guard schedules at the museum i went in on friday and laid low until after closing time as planned the crate was delivered to their yard on friday afternoon too late for anyone to process it and the board was easy to detach from the base excellent idea to make the painting look like part of the box by the way no one was going to turn it over to look if they didnt know it was there and they were pretty unlikely to be looking for someone to smuggle a painting in anyway access to the gallery was straightforward and it took around twenty minutes to switch the copy with the original i hid the painting among a bunch of reproductions in the museum shop and camped out for the night in the guards bathroom turns out they prefer to use the directors facilities upon the top floor with the new exhibition opening on saturday the place was busy enough to slip out first thing and as arranged i made sure i was first into the shop i now have the honour of having bought the cheapest ever work by davinci or not the xray results came back this morning and as you suspected this is one of saras fake siam told it is close to perfect but hidden under the layers of paint she scribbled a picture of the nazi eagle emblem in leads he signed its too the tech guys think she may have used abit of old pipe like a crayon to deface the board before she started work on it anyway that leaves the question of where the hell the real painting might be its hard to believe that she left it with the ss and icant see her going on the run with it stuck under her coat its not like she could roll it up i worked through some more of the nazi papers and found this note atleast it tells us where she went looks like the cipher clerk was back by the way i have moved on to venice to try to find any trace of sara there but i have a feeling the solution to this mystery is back in paris where it all began i left the painting at the paris office maybe you could arrange to return it it should be easier to get it in than it was to extract it all the best harry'"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "vigenere_frequency_break(sanitise(c7b))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 16,
+       "text": [
+        "('aattuualptaaauaaaa', 0.10312795085805967)"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "' '.join(segment(vigenere_decipher(sanitise(c7b),'aattuualptaaauaaaa' )))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 17,
+       "text": [
+        "'ttmaqoehqveytelettkf vfantitlnhhttprnmews qrfwquefetnntmmohpun kit a murvsoegeomjsemwelpo yotkcoytmamvgijtrhtk pcrnydlmautreryrciti man rtxrnmzeatctythrycyb obmmisfdefehefyfnvws note neetztxkrqcavlennemh tmeemnnfvulnntneyfrt a ohtmohynxzxnzontunrg hubfooznoirdgkiztyqh eodatncnenpgyccwfmai masxprjmmtoktyiheouf jnteemaetxhkyutyaatk ausmmfuccthuyotxmltn tythhtootmnrnusztdsm mkoiyftfhharuianbwha eixyetfoatnboksfiheu ywcrthbfulmrsaetmlpu ymhtryamodjafttteaff ttnwmqtfzwbhntypttmt are dldnrkyhsacctyerfamm tgomtxzumtmtmtanskid jfpoxhothtoaixvidebb ooeryykftffteelratyh qyurtemtvgeutvsfrheo tcmhyalioyuemnefknco trqiitaonfouaywtmmoo that eu uhpyhnzxttontfaaxnsn of lioptnrtovvxzdiepexy not etielahfcariewfhwwh yiwlvmuudehtbbfvvawi ytkbozvrifacjsiwaagb let now oalfdorpballhktfqtku at hvnxwllfmodtqsluhycv lhiyytejglmrzfdemded dweicjqisrnvlmhudewl kb dgcmklhyhkjalxdosdtq in lfs gewambhlohuwejeltww tbjgeudeucklmxatceud same rpfmjtqmorshwzndcgkm zhieuzasrsoekzgbtbqh rktiwgcavlneuqrzhibj leljrlayqybgewqgrkth wlpiyshwfsillxicblls ebwhcyfkrvmhiomkotdo iwmfahyniseiszwfshlt cxrmaotikmnuachvqdov mmatibzhfoadvloawzke nqrcnrgbxrwfdkctsxxa iejzlnerryfidtbwhxbd hluhtfswwnclgdtwwdvk lhazobmargsgwwtopasg men rl on york rodr keewdeelujkdlellythc wexcfrqxagrdiyunehkn ikfruurtslqbdjrcvujp kxghfbldgmistthujsot bids iwcdsiajaqmanpigbcp zoxlurhnlgrtfifiguor gsm mntfcwavanbilwysatnl mvpnafbhzhwxnrzirhra'"
+       ]
+      }
+     ],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "len(sanitise(c7b))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 18,
+       "text": [
+        "1304"
+       ]
+      }
+     ],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/2014-challenge1.ipynb b/2014-challenge1.ipynb
new file mode 100644 (file)
index 0000000..00f9ccc
--- /dev/null
@@ -0,0 +1,136 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:238ee41cd65ee30b21b8e31cf8256253cda5ffb52bd978fe39c5c022b8eaa509"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import matplotlib.pyplot as plt\n",
+      "%matplotlib inline\n",
+      "\n",
+      "from cipherbreak import *\n",
+      "\n",
+      "c1a = open('2014/1a.ciphertext').read()\n",
+      "c1b = open('2014/1b.ciphertext').read()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "key_a, score = caesar_break(c1a)\n",
+      "key_a, score"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 15,
+       "text": [
+        "(4, -728.156672407534)"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(caesar_decipher(c1a, key_a))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "MARK, \n",
+        "\n",
+        "THANKS FOR BRINGING ME IN ON THIS ONE, SEEMS LIKE A FASCINATING CASE. \n",
+        "\n",
+        "I HAVE THREE QUESTIONS: \n",
+        "WHY WOULD THE FLAG DAY ASSOCIATES WANT A SHIP? \n",
+        "WHY WOULD THEY WANT THIS SHIP? \n",
+        "WHY WOULD THEY WANT THIS SHIP NOW? \n",
+        "\n",
+        "HAVING READ THE ATTACHED DOCUMENT I SUSPECT THAT THE ANSWERS ARE ALL RELATED TO THE QUESTION OF WHAT EXACTLY SHE AND HER FLAG DAY ASSOCIATE CREW WERE TRYING TO SURVEY. \n",
+        "\n",
+        "I AM GUESSING THAT YOU ALREADY CHECKED OUT THE ONBOARD GPS SYSTEM FOR INFORMATION ABOUT HER MOVEMENTS, BUT IF YOU DID FIND ANYTHING I WOULD BE FASCINATED TO HEAR ABOUT IT. IN THE MEANTIME I AM PRETTY SURE THAT YOU KNOW MORE ABOUT THE FLAG DAY ASSOCIATES THAN YOU HAVE TOLD ME, SO A BRIEFING WOULD BE MUCH APPRECIATED. \n",
+        "\n",
+        "ALL THE BEST, \n",
+        "\n",
+        "HARRY \n",
+        "\n"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "key_b, score = caesar_break(c1b)\n",
+      "key_b, score"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 10,
+       "text": [
+        "(22, -637.7038880633795)"
+       ]
+      }
+     ],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(' '.join(segment(sanitise(caesar_decipher(c1b, key_b)))))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "report on the trojan project having drugged the crew we were able to take the ship with essentially no resistance the crew were handed to the somali pirates at the deepwater rendezvous as planned and we began the survey just after midnight the radar showed an approaching vessel which our database identified as a coastguard cutter we headed south to avoid detection with all ship lights off we then completed the survey in the new location afterdawn with the listening post installed we began assembling the equipment for phase two of the operation keeping a watch for further patrols in the sky and on the water\n"
+       ]
+      }
+     ],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/2014-challenge2.ipynb b/2014-challenge2.ipynb
new file mode 100644 (file)
index 0000000..4e5eeff
--- /dev/null
@@ -0,0 +1,188 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:95cdf1235b4fe6238989ec008feb03cf628e9bfb2e2d10e7949b2aaa237928c4"
+ },
+ "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",
+      "c2a = open('2014/2a.ciphertext').read()\n",
+      "c2b = open('2014/2b.ciphertext').read()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 18
+    },
+    {
+     "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": 26,
+       "text": [
+        "<matplotlib.axes.AxesSubplot at 0x7f20ea3cf908>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
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YaJNwEWYzgCw1K3XAguB11yZi13+zcDlwG2uzCJMeB4FvA6cjekMBeBWZ3M/sBETquNIY2gDG2kM\nftukpfWfgSw27RH7z6ueZnyPYTX2xhBu/XgsfzYwGrgAE577MQdyGNMbOoBbgCeqHOsGYINLr8Pe\naurCxO3pwNMZ21uTWq9q6veFhBAjlSSO4SHgu8D7MS3g09iMYDr2GumVlGcI24BH3HoN9qZRyaXN\nAx7AXkvdhc0UAB7ENIWdwJ2UZx0HgbuxN5P6gcUMfiOpAVHDEgNf1czyumbjOmQzPDbSGPKxkcag\nepJoDDfXyL+6Rv4St1SyhXIoKs5R4MYax1ruFiGEEDkx4n8rqT1tWh+Tlsbg5zhntUlL6z8DWWza\nI/afVz36rSQhhBCJCdwxRDnY5FGHbEAag6/jnK2ePOrIZuNz7D+vegJ3DEIIIdIijaEtbVofk5bG\n4Oc4Z7VJS+s/A1ls2iP2n1c90hiEEKIO+q/0gQTuGKIcbPKoQzYgjcHXcc5WTx51JLcZ+k/Pp2+b\nNAYhhBBtgzSGtrRpfUzaV41h7Njumk95nZ3jOHz44LC0zddxzmqTltZ/BrLYtN84N7OeehrDcPy6\nqhDeUA4JVNsXwnOQEM0n8FBSlINNHnXIBrLEStPXIZuRqTG0wkYagxBCiLYhhLm1NIY2sNF/Zfht\nk5bWj3MWm/Yb52bWo+8xCCGESEzgjiHKwSaPOmQD0hj8Hecs9eRRh9820hiEEEK0DdIY2tKm9bFS\naQx+jnNWm7S0fpyz2LTfODezHmkMQgghEtMOjmEGsB37T+j56UyjDNWltcmjDtmANAZ/xzlLPXnU\n4beNNIbsnAr8T8w5TMb+f/ri5ObFDFWmtcmjDtkAFIs6N3nYpB/nLPX42/+wxjlbPb47hg8Du4Dd\nwDHgG8B1yc0PZagyrU0edcgG4NAhnZs8bNKPc5Z6/O1/WOOcrR7fHcO5wJ7Y9l6XJ0YAlb+Rv3jx\n4hH/O/nNIj7WGufm0S7j7LtjGKK0vzsHmzzqGJk2A38j/wQw92Q62e/kN6ddIdoMHOu045ylbWnL\nh2GTxzgPxwOV76+rfgRYhGkMAAuAd4AvxMoUgQ/k2ywhhGh7XgKmtLoRWRgFvAr0AKMxJ5BCfBZC\nCBEivwe8gonQC1rcFiGEEEIIIUYWvmsMWegGJgFjYnn/UKf8u4B5wMcwJehZ4G+Afx6GtvxxLH2C\n8niXRPX/Ucf2FODfABcA/x14H3AO0D8M7apsY2Xb3gK2UPul6dOA38dCfKV/ATzh2jkcfAf4KPA2\ng19AOAGs+NT3AAAFL0lEQVQcBP4C+F8V+6Zi7Y7zSeCbw9SuEtOAzzO4/79TxybrmE0BPk752nyp\nQfks13O1ayCerrxOO4D3MvCNQV9YWCVvOK/NEYHvbyWl5TPAt4C1wGLgaUy8rsdK7Mtz92Ffpvtt\n4G8blB8X2+4GvlqjbCdwBnbDug2YiL1ueyvwwQbt+iLwu8C/dttvu7xqlNp7Z4NjVmOqa0+pbX+E\nhe++Qu1vmj8BzMS+W/K2W35Ro+x33Ppt4EjFcriGzUfd+gxsDOPLWNfmO6rYfQW4NLZ9M/DfatRR\nrT2N2lXi68By7Eb/KbfMbGCTZsxKfA74GnA2MN6lq/U7TtrrGWpfn6Xxr8aaBses5Ebs3AH8KfC/\nafwZ+ELCvDi/oDy+/w+7lnsa2Pwx6V+D/xp2v7kohc3kKnmFBjZ3MPB+k4SNwL+syPtyymMExQ+x\nJ6bSk+5F2AVYj20J80pUe4pu9NXCZxn4Aet0efV4sWINtZ8Wt2Ef6h9gjqpyadS2M2LbZ2AzrHcD\nP6ph88MGx8yDiVXyfgP4PnbeP4P17cwm1P2dxkUGkWXMtgKnx7ZPd3n1SHs9Q7brcwX2BdSklNr9\nMex3HT4JPNfA5sUqeY36X8kY7GGxHouAl4FvA7djTrgRV2Kzk/XAT4BHafxg9kPsYasD+3z9NbC5\ngc2fYfrqI9jbmUmiPD/BPsPx2VO1sRwxvODWRWzqDo0/FF/DnsxLfIT6T1gvMfBm203ji/WVWHtw\n6Vca2DyH/SRI6YSeTe2Tewd2Ez+KXRTx5ccN6tmOvfFVYkysbbXq+zL1wyat5P3YWKzFPnzN4Brg\nQWxG8vtu+VcNbLKM2VbsQafEu2h8raW9niHb9fkK9kT+Y9emrdiDSS1KD09LsRAp1L6+bnPH+2Xs\n2Fuxl/i/3qBdlXRjN9YkfAC7Eb8CbEhQfhQ2vp8H/pHGY3Y6NovbjDmJz5MsanMK5hS+gfVlCXBh\nnfIvurZ9EXgS6CKlYxjVuEhbsQebdj2OefI3qf2NkNIHbBT2BLgHi0W+j/on+C+B72EevAP4A+xi\nqsdKTBt4zNnMwp646vHX2Gzn17EL4Qbgv9Yoe59bvoSFAdLwdcwJPe7a9ilgFXYRVzrV0pidCnwa\nczxHXV6jGHszqbxZdmMfpudoTrvmYg5oFPa9mhKP1bH5OOnHbDnWh/h1UytsWeJDVL+et9apL8v1\neW2D/ZXsw5zjdMw5nEbtm+IqLFS1lPITNliY7+cN6olfC6dgn5+k+sJPgf2ujrMblN2AfUa+h800\nPuTs63Ec+BXm4E/DnOo7dS2Md1y7DmDOeBzw98AzwJ/UqWse0IvN/lKFo0IUn0sUsJjmWuD/Vtnf\nU8f2BPBanf2/jU0lT2DxvEazErA4bklE/AeSefCLgatcegO1QztDZRoW1z+B3VReqFGup8Fxdg9f\nk1LR02D/7mGu7xUsXJXmm/k9NfJ3N7CbykAhudF1U6ueRvVluT7TcDr21PsD7JeSJ2B60Lphrqcn\nlj6O3UyPNbCZh2kgvw78HfAwjT/Tf4U5g38GvouFq76H3fhr8RKwGnNU7wHuxx4S/qCOzeeAOZiz\negB7WDyGOb2dVJ85/JE7dompwH8A/m2DPgkhhsBy7OFAhMGfk/0bwJ3AZ7EHyaMNyk6rkjengc1i\n4Pwa+6qJ2cNCyDMGIZrFduxJzZdQmsifz2IzrKnYdfCsWza2slHDRWgagxB5MKNxERE4p2F64/dp\nHKoSQgghhBBCCCGEEEIIIYQQQgghhBBCiBHO/wdc3dBPs9bnrQAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x7f20ea40cf60>"
+       ]
+      }
+     ],
+     "prompt_number": 26
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "key_a, score = affine_break(c2a)\n",
+      "key_a, score"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 5,
+       "text": [
+        "((5, 25, True), -761.8388033231918)"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(affine_decipher(c2a, key_a[0], key_a[1]))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "DEAR MARK, \n",
+        "\n",
+        "THANKS FOR THE LATEST REPORT FROM THE ON-SITE TEAM. IT SHOWS THAT THE SHIPBOARD GPS SYSTEM WAS COMPLETELY SCRAMBLED SO WE ARE NOT GOING TO BE ABLE TO TRACE HER MOVEMENTS FROM THAT. DO WE HAVE ANY ODD TRACES FROM ONSHORE RADAR THAT GIVE A HINT OF WHERE SHE MIGHT HAVE BEEN? \n",
+        "\n",
+        "THE COMMENT IN THE LAST MESSAGE THAT THE PIRATES COMPLETED THE SURVEY EVEN THOUGH THEY HAD MOVED SOUTH TO AVOID DETECTION SHOULD HAVE TOLD ME THAT THE SURVEY WAS NOT GEOGRAPHIC. AT FIRST I THOUGHT IT MIGHT HAVE BEEN REFERRING TO A TELECOMS SURVEY SINCE YOU MENTIONED THE LONG AERIAL, BUT ACTUALLY THE ATTACHED MESSAGE IS VERY REVEALING. STILL NOT SURE WHAT THE SURVEY WAS FOR THOUGH, AND HOW THAT IS CONNECTED TO THE MISSING SUPERSTRUCTURE. CAN YOU GET ME ANY PICTURES? \n",
+        "\n",
+        "HARRY \n",
+        "\n"
+       ]
+      }
+     ],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "key_b, score = keyword_break_mp(c2b)\n",
+      "key_b, score"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 15,
+       "text": [
+        "(('flag', <KeywordWrapAlphabet.from_largest: 3>), -367.81492429457404)"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(' '.join(segment(sanitise(keyword_decipher(c2b, key_b[0], key_b[1])))))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "calm weather allowed us to complete the hull survey and establish its integrity no major remedial works were required and the pumps and extra bulkheads were installed out in deep waters over the next five days we are now testing the system for reliability and safety before moving on to phase three of the operation operation trojan remains on target\n"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "freqs_2b = pd.Series(collections.Counter([l.lower() for l in c2b if l in string.ascii_letters]))\n",
+      "freqs_2b.plot(kind='bar')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 24,
+       "text": [
+        "<matplotlib.axes.AxesSubplot at 0x7f20c5dcc208>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAD+CAYAAAAeRj9FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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+       "text": [
+        "<matplotlib.figure.Figure at 0x7f20ea3e2828>"
+       ]
+      }
+     ],
+     "prompt_number": 24
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/challenge6.ipynb b/challenge6.ipynb
deleted file mode 100644 (file)
index ca4e493..0000000
+++ /dev/null
@@ -1,1141 +0,0 @@
-{
- "metadata": {
-  "name": ""
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "%matplotlib inline\n",
-      "import matplotlib.pyplot as plt\n",
-      "\n",
-      "from cipherbreak import *\n",
-      "with open('2013/mona-lisa-words.txt') as f:\n",
-      "    mlwords = [line.rstrip() for line in f]\n",
-      "mltrans = collections.defaultdict(list)\n",
-      "for word in mlwords:\n",
-      "    mltrans[transpositions_of(word)] += [word]\n",
-      "c6a = open('2013/6a.ciphertext').read()\n",
-      "c6b = open('2013/6b.ciphertext').read()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c1a = open('2013/1a.ciphertext').read()\n",
-      "c1b = open('2013/1b.ciphertext').read()\n",
-      "c2a = open('2013/2a.ciphertext').read()\n",
-      "c2b = open('2013/2b.ciphertext').read()\n",
-      "c3a = open('2013/3a.ciphertext').read()\n",
-      "c3b = open('2013/3b.ciphertext').read()\n",
-      "c4a = open('2013/4a.ciphertext').read()\n",
-      "c4b = open('2013/4b.ciphertext').read()\n",
-      "c5a = open('2013/5a.ciphertext').read()\n",
-      "c5b = open('2013/5b.ciphertext').read()\n",
-      "\n",
-      "p1a = caesar_decipher(c1a, 8)\n",
-      "p1b = caesar_decipher(c1b, 14)\n",
-      "p2a = affine_decipher(c2a, 3, 3, True)\n",
-      "p2b = caesar_decipher(c2b, 6)\n",
-      "p3a = affine_decipher(c3a, 7, 8, True)\n",
-      "p3b = keyword_decipher(c3b, 'louvigny', 2)\n",
-      "p4a = keyword_decipher(c4a, 'montal', 2)\n",
-      "p4b = keyword_decipher(c4b, 'salvation', 2)\n",
-      "p5a = keyword_decipher(c5a, 'alfredo', 2)\n",
-      "p5b = vigenere_decipher(sanitise(c5b), 'florence')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(frequencies(sanitise(c6a)))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stderr",
-       "text": [
-        "/usr/local/lib/python3.3/dist-packages/matplotlib/figure.py:372: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
-        "  \"matplotlib is currently using a non-GUI backend, \"\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEkCAYAAABt4jWqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xaeb9980c>"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6af = frequencies(sanitise(c6a))\n",
-      "plot_frequency_histogram(c6af, sort_key=lambda l: c6af[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEkCAYAAABt4jWqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0xae9bdf4c>"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(normalised_english_counts, sort_key=lambda l: normalised_english_counts[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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1Gn77YYbbtDf/vY3HT58WJJa/g3mlltuUVlZmXbt2qWcnJw268aPH69ly5ZpwoQJGj9+vF5++WWN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\nwv8DbMnA/BWkp54AAAAASUVORK5CYII=\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xaea606ec>"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6bf = frequencies(sanitise(c6b))\n",
-      "plot_frequency_histogram(c6bf, sort_key=lambda l: c6bf[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0xae9b112c>"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(c6bf)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0xaea4c52c>"
-       ]
-      }
-     ],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(normalised_english_counts)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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4cOaO3eu4/hee+01+f3+i/acHjOsTlJbW6vevXurZ8+e2rdvn3bu3OlY/9lnnzXVvPHGG63+5nbj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\nEFgAACsQWAAAKxBYAAArEFgAACv8P5ZWvQDqsWNNAAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xae9fc90c>"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 10,
-       "text": [
-        "'CPYYL GVVIR PDDVU BCSUP QOWPW SYBYP ODBCS PBBPR CSIOZ PTSTV HYVTW PYOZC OGCRV TTPUI BVGVS YOUGZ ZSRYS BPYLY SHSYY OUGBV BCSWP OUBOU GPUIR DSPYD LTSUB OVUOU GZPYP ZSSTZ DONSB CSLNU SJPAV EBBCS ZRPTV EYHYO SUIDL ZZVHH ORSYJ PZWDP UUOUG BVWED DBCSL WORNS IEWCS YBYPO DBCSU OGCBP HBSYZ CSJSU BTOZZ OUGAE BLVER PUYSP IPAVE BBCPB OUBCS OYYSW VYBZB ODDUV MVLVU GSBBO UGPRR SZZBV BCSVY OGOUP DTOZZ TVUPO UBCSG PDDSY LPUIO PTASG OUUOU GBVBC OUNJS TOGCB USSIB VYVDD VEBPA DPRNA PGMVA LVEJP UBBVI VOBVY ZCPDD OALBC SJPLO JPZZE YWYOZ SIALB COZYS WVYBB CSVBC SYWPW SYZJS CPFSH YVTBC SUPQO ZPBBC OZDSF SDPYS SURYL WBSIE ZOUGA OHOIV YWDPL HPOYZ BLDSR OWCSY ZBCOZ VUSOZ UBTPL ASBCS ROWCS YRDSY NJPZV HHIEB LBCPB IPLJS GVBDE RNL\\n'"
-       ]
-      }
-     ],
-     "prompt_number": 10
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "len(sanitise(c6b))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 11,
-       "text": [
-        "1573"
-       ]
-      }
-     ],
-     "prompt_number": 11
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6as = sanitise(c6a)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 12
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "frequencies(ngrams(c6as, 2))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 13,
-       "text": [
-        "Counter({'bc': 21, 'cs': 20, 'ou': 15, 'sy': 12, 'oz': 10, 'ug': 10, 'ub': 8, 'bv': 8, 'su': 7, 'bb': 7, 'zz': 6, 'yo': 6, 'dd': 6, 'ys': 6, 'py': 6, 'pu': 6, 'jp': 6, 've': 6, 'vy': 6, 'cp': 5, 'co': 5, 'si': 5, 'yz': 5, 'ds': 5, 'po': 5, 'bo': 5, 'eb': 5, 'vb': 5, 'vu': 5, 'sb': 4, 'zb': 4, 'yb': 4, 'dp': 4, 'pl': 4, 'pd': 4, 'pb': 4, 'pz': 4, 'bp': 4, 'js': 4, 'wp': 4, 'og': 4, 'up': 4, 'uo': 4, 'ui': 4, 'yl': 4, 'tv': 3, 'to': 3, 'lv': 3, 'lb': 3, 'yv': 3, 'sj': 3, 'sg': 3, 'sp': 3, 'sr': 3, 'ss': 3, 'sw': 3, 'zs': 3, 'zv': 3, 'zc': 3, 'al': 3, 'yw': 3, 'rn': 3, 'rp': 3, 'db': 3, 'us': 3, 'yy': 3, 'yp': 3, 'st': 3, 'ie': 3, 'gv': 3, 'gp': 3, 'zp': 3, 'gb': 3, 'gc': 3, 'pa': 3, 'pt': 3, 'pr': 3, 'bl': 3, 'wc': 3, 'ow': 3, 'od': 3, 'vh': 3, 'vt': 3, 'hy': 3, 'tp': 2, 'ts': 2, 'cb': 2, 'lw': 2, 'fs': 2, 'sh': 2, 'sl': 2, 'so': 2, 'sz': 2, 'sv': 2, 'zo': 2, 'ro': 2, 'wv': 2, 'rd': 2, 'ry': 2, 'rs': 2, 'dl': 2, 'do': 2, 'dv': 2, 'ir': 2, 'ip': 2, 'qo': 2, 'io': 2, 'ib': 2, 'gz': 2, 'ga': 2, 'av': 2, 'go': 2, 'pw': 2, 'pq': 2, 'by': 2, 'bs': 2, 'bt': 2, 'wd': 2, 'oy': 2, 'or': 2, 'ws': 2, 'iv': 2, 'zd': 2, 'ey': 2, 'er': 2, 'ns': 2, 'vi': 2, 'nj': 2, 'ho': 2, 'uu': 2, 'hh': 2, 'mv': 2, 'as': 2, 'tz': 1, 'tt': 1, 'tw': 1, 'ta': 1, 'tb': 1, 'lp': 1, 'lt': 1, 'ly': 1, 'lz': 1, 'la': 1, 'ld': 1, 'lg': 1, 'lh': 1, 'lj': 1, 'cr': 1, 'lo': 1, 'ln': 1, 'wb': 1, 'sc': 1, 'sd': 1, 'sf': 1, 'na': 1, 'zr': 1, 'ap': 1, 'wo': 1, 'zw': 1, 'zu': 1, 'zt': 1, 'zy': 1, 'ad': 1, 'ae': 1, 'zj': 1, 'ao': 1, 'rc': 1, 'hb': 1, 'rr': 1, 'rv': 1, 'yj': 1, 'yh': 1, 'yn': 1, 'hi': 1, 'de': 1, 'yd': 1, 'yr': 1, 'du': 1, 'dt': 1, 'nl': 1, 'gm': 1, 'wy': 1, 'ia': 1, 'id': 1, 'gs': 1, 'pi': 1, 'ph': 1, 'pg': 1, 'pf': 1, 'bz': 1, 'bu': 1, 'bi': 1, 'bd': 1, 'we': 1, 'ov': 1, 'op': 1, 'os': 1, 'on': 1, 'oi': 1, 'oj': 1, 'oa': 1, 'ob': 1, 'ej': 1, 'ze': 1, 'ed': 1, 'ez': 1, 'ew': 1, 'vg': 1, 'vd': 1, 'va': 1, 'vo': 1, 'oh': 1, 'nu': 1, 'vl': 1, 'vw': 1, 'vv': 1, 'vs': 1, 'uy': 1, 'uv': 1, 'ur': 1, 'un': 1, 'hp': 1, 'hs': 1, 'vm': 1})"
-       ]
-      }
-     ],
-     "prompt_number": 13
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "' '.join(segment(letters(c6a).translate(''.maketrans({'B':'t', 'C':'h', 'S':'e', 'O':'i', 'U':'n', 'G':'g', 'A':'b', 'V':'o', 'N':'k', 'J':'w', 'T':'m', 'I':'d', 'P':'a', 'W':'p', 'R':'c', 'Y':'r', 'L':'y', 'D':'l', 'H':'f', 'Z':'s', 'Q':'z', 'E':'u', 'F':'v', 'M':'j'}))))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 14,
-       "text": [
-        "'harry good call on the nazi paper trail the attached is a memo from paris high command to goering s secretary referring to the painting and clearly mentioning sara seems like they knew about the scam our friendly ss officer was planning to pull they picked up her trail the night after she went missing but you can read about that in their report still no joy on getting access to the original miss mona in the gallery and i am beginning to think we might need to rollout a black bag job you want to do it or shall i by the way i was surprised by this report the other papers we have from the nazis at this level are encrypted using bifid or playfair style ciphers this one isnt maybe the cipher clerk was off duty that day we got lucky'"
-       ]
-      }
-     ],
-     "prompt_number": 14
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "trans={'B':'t', 'C':'h', 'S':'e', 'O':'i', 'U':'n', 'G':'g', 'A':'b', 'V':'o', 'N':'k', 'J':'w', 'T':'m', 'I':'d', 'P':'a', 'W':'p', 'R':'c', 'Y':'r', 'L':'y', 'D':'l', 'H':'f', 'Z':'s', 'Q':'z', 'E':'u', 'F':'v', 'M':'j'}"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 15
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join(sorted(trans.keys(), key=lambda k: trans[k]))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 16,
-       "text": [
-        "'PARISHGCOMNDTUVWYZBEFJLQ'"
-       ]
-      }
-     ],
-     "prompt_number": 16
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "' '.join(segment(keyword_decipher(c6as, 'parishighcommand', 2)))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 17,
-       "text": [
-        "'harry good call on the nazi paper trail the attached is a memo from paris high command to goering s secretary referring to the painting and clearly mentioning sara seems like they knew about the scam our friendly ss officer was planning to pull they picked up her trail the night after she went missing but you can read about that in their report still no joy on getting access to the original miss mona in the gallery and i am beginning to think we might need to rollout a black bag job you want to do it or shall i by the way i was surprised by this report the other papers we have from the nazis at this level are encrypted using bifid or playfair style ciphers this one isnt maybe the cipher clerk was off duty that day we got lucky'"
-       ]
-      }
-     ],
-     "prompt_number": 17
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6bs = sanitise(c6b)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 18
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "len(c6bs)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 19,
-       "text": [
-        "1573"
-       ]
-      }
-     ],
-     "prompt_number": 19
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "from itertools import permutations"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 20
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "list(permutations(range(4)))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 21,
-       "text": [
-        "[(0, 1, 2, 3),\n",
-        " (0, 1, 3, 2),\n",
-        " (0, 2, 1, 3),\n",
-        " (0, 2, 3, 1),\n",
-        " (0, 3, 1, 2),\n",
-        " (0, 3, 2, 1),\n",
-        " (1, 0, 2, 3),\n",
-        " (1, 0, 3, 2),\n",
-        " (1, 2, 0, 3),\n",
-        " (1, 2, 3, 0),\n",
-        " (1, 3, 0, 2),\n",
-        " (1, 3, 2, 0),\n",
-        " (2, 0, 1, 3),\n",
-        " (2, 0, 3, 1),\n",
-        " (2, 1, 0, 3),\n",
-        " (2, 1, 3, 0),\n",
-        " (2, 3, 0, 1),\n",
-        " (2, 3, 1, 0),\n",
-        " (3, 0, 1, 2),\n",
-        " (3, 0, 2, 1),\n",
-        " (3, 1, 0, 2),\n",
-        " (3, 1, 2, 0),\n",
-        " (3, 2, 0, 1),\n",
-        " (3, 2, 1, 0)]"
-       ]
-      }
-     ],
-     "prompt_number": 21
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[column_transposition_decipher(c6bs, p, fillvalue=' ') for p in permutations(range(4))]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 22,
-       "text": [
-        "['hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnroteletpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvnaiaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrtebltllgfo   ',\n",
-        " 'hihthnrffetreafoftanslytorrreqhtimesrurlhfestaeeiuwisibhnrtrsiioieinrhrmpydttoierctialbnrphntoohrleiwthstepsostooyunwherdhchpimcnotoahsahtjieaentorfnesuramgxutrtolweabtrtpeptaraeesnehthrsinrtsstnrflodghuamgessekaunitahtytnuyntnnvhgiwlwefipaaserlfiaebpacmpclaehthotlhswuldasevueaoetauetaetefhelbthrsghatilaceehtnrhgaasiteufnnpuerhrleitmtudiynneugiocuedneeaihseulhntoathieianydfniuaoeantieyfoehdaulareoryuhrareatreahaiontgwiwssatibutlaoxmleotretootnoaorotgcbvapinleewfrytaoeadwuwertrtlnrppfailelrmintorwiqereucardnotfanrtoeltepernpmhsndedtdweheofypdeensnnegetaeteaensetrgduleorsbuorwhgdbrapheynttkeretrrrnhfndeolstwsainipyotmhoucotyieeeopnhrknnatirtleeuirenmitpahoaeohnhoumutksvendeeeiodpkwietgiioisehnuuafnbueitrhaehrieheuaaysrsuiwagdssiitlrgfhpilwtiiisheusrmormaecisiolvedoeulsariidoetnifesbontaspogfsordtfriplatnertlyoisoytoessfnptheiageoaraeiitmdtaeagryhasrrcflerteleaenhvheivhmnassieorixmlpstjteosfbrmhnidocehcntbtnocmpsueseohtneetifenootnowoteeritloidgosemhofimlorefdftuseofelrwiiyqbdzottnrafntidgotnaleapdhseanmthplsntbuohaaapllenmpdsrhvanialenhacliksacodaetdjgohiedagwyandteenehgeueeoeednroyyfrctmettnwtgedtausootofwmyihgrrheosirnraforeftenopyasisesstnhhayuelhwipcetataupenalueelwhaaoleursenbiieaasetaegccdsoerpsoreneslvsoeddusilttetitfesoenslnignorentieeiwwlwtheisriihltdrsndserfrhntglrsauseaddotyasdautnewictnaemtetrposeyttoocynutosgcumdlapdlaedoetfdbsfeelahxarsnoiditeirpasihcdschibpiesllnlahofrretnatroaimeklgaremtrdwcsnyanwvsnudlorkeutnnouitiunnhvineiolhletfneaatiuftatceltnnbrhbgelonsaomnifokarnosnnvfrterctfhdtepsswuceprctwpowafhadyiosoaogaenldfgingtrebtlllfgo   ',\n",
-        " 'htihhfnrfreteoaffntastlyorrretqhismerlurhsfeteaeiiuwshibnrrtsoiiineirmhrptydteoirictanlbrnphthoorilewsthtsepoostonyuwrhedhhcpcimnootaahshitjenaetfornuesrgamxruttwoletabretpprtaaseentehhirsnsrtsrtnfdlogahumsgesaekutniayhttynunntnvihgwelwfaiparselafieabpccmplhaettholwhsualdsueveeaoteauttaeeefhlhbtrhsgaltiaecehrtnhagaseitunfnprueherlittmuydinunegciounedeieahuselthnohatiaeinfydnaiuoneatyiefhoedlauaorerhyurearaetraihaogntwsiwsiatblutamoxlteoroetootnaoortbgcviapnelewyfrteaoaudwwterrntlrfppaeillirmnrtoweiqrceuanrdoatfnorteeltpnerpsmhnddetedwhfeoyepdennsneegttaeenaesretglduesorbruowdhgbprahneytetkrretrhrnfendotlswisanyipohtmooucteyiepeonkhrntnailrteieurmeniatpheoaohhnouumtvkseendeoeidwpkigetiiiosnehufuanebuihtrarehieehuyaasursigwadissirtlgpfhitlwisiihseurrmomcaeiosildveoleusiariedotfnieosbnstapfogsdortifrptlanterliyostoyosesftnphaeigaeoriaeidtmtaaeghryarsrceflrlteenaehevhimvhnsasireoilxmpjsttseofmbrhdniohcecbnttcnomupseosehetneftieonotwnooeterlitogidomsehiofmrloeffdteusolferiwiydqbztotnfrandtignotaalepsdhemantlhpsbntuaohalaplmenprdshnvaiealnchalsikadcoadetjhgoiaedgawynedtehnegeeueeoedonryryfcetmtwtntdgetsauoootfywmirhgrohesnirroafrtefepnoyiasssesthnhaeyulihwptceautapaenleuelawhaeoluersnibiesaaeetagdccsroeprsoesnelovseuddstiltiettsfeosenlgnineornetiewiwlhwterisilihtsdrnedsrhfrnltgrusasdeadyotaasduetnwticnmaetretpeosyottoncyustogmcudpladeladtoefsdbfleeaahxrosnitdiepirahsiccdshpibileslanlhrofrnetaotraeimkalgrtemrcdwsanynswvnludoerkuntnotuiinunhnvieliohtlefaneautifttactelnrnbhebglsonanomikfoaornsvnnfertrfcthedtpwssupcerwctpaowfdhaysioogaoalendifgnrgtelbtlglfo   ',\n",
-        " 'hhithrnffterefaofatnsyltorrrehqtiemsrrulhefsteaeiwuisbihntrrsiioiienrrhmpdyttioertciablnrhpntoohreliwhtstpesotsoouynwehrdchhpmicntooashahjtieeantrofnseurmagxturtlowebatrptepatraeesnhethsrintrssntrfoldguhamegsskeauintathytunynntnvghiwwlefpiaaesrlifaepbacpmcleahtohtlshwudlasveueoaetuaeteatehfeltbhrgshaitlaecehntrhagastieunfnpeurhlreimttuidynenugoicudeneaeihesulnhtotahiieandyfnuiaoaenteiyfeohdualaeroruyhrraearteaahiotngwwisstaibtulaxomloetrteoontoarootcgbvpainelewrfytoaeawduwretrltnrppfalielmrinotrwqieruecadrnoftantroetleprenphmsneddtwdehoefydpeesnnngeeteateeanstergudlerosbourwghdbarphyentkterterrnrhfdneosltwasinpiyomthocuotiyeeoepnrhknantitrleueirnemiptahaoeonhhomuutskvedneeieodkpwitegioiishenuaufnubeirthaheriheeuaayssruiawgdssiiltrghfpiwltiiishuesromrmeaciisolevdouelsraiiodetinfebsonatspgofsrodtrfipaltnretloyisyotosesfpnthieagoeareaiimtdteaagyrharsrclferetleeanhhveihvmnsasioerimxlptsjtoesfrbmhindoechctnbtoncmspueesohnteeitfeonotonwoetertilodigoesmhfoimolredfftsueoeflriwiybqdztotnarfnitdgtonaelaphdsenamtphlstnbuhoaapallnempsdrhavnilaenahclkisaocdatedjoghideagywantdeeenhgueeeeoedrnoyfyrcmtetntwtegdtuasotoofmwyighrrehosrinrfaorfeteonpysaissesthnhauyelwhipectaatupnealeuelhwaaloeusrenibieaaseategccdseorposreenslsvoedduslittteitefsoneslingnroeniteewiwltwhesirihiltrdsnsderrfhngtlrasusaeddtoyadsauntewcitneamtterpsoeyttooycnuotsgucmdalpdaledeotfbdsfeelaxharnsoiidteripaishcsdchbipiselllnahforrtenartoamiekglarmetrwdcsynanvwsndulokreuntnoiutinunhivneoilheltfenaaitufattcletnbnrhgbelnosamoniofkanrosnnvftrertcfhtdepsswuecprtcwpwoafahdyoisooaganeldgfintgretbllflgo   ',\n",
-        " 'hthihfrnfrteeofafnatstylorrrethqisemrlruhsefteeaiiwushbinrtrsoiiiniermrhptdyteioritcanblrnhpthoorielwshttspeootsonuywrehdhchpcminotoaashhijteneatfronusergmaxrtutwloetbareptprataseenthehisrnstrsrntfdolgauhmsegsakeutinaythtyunnnntvighwewlfapiareslaifeapbccpmlheattohlwshuadlsuveeeoateuatteaeehflhtbrhgsalitaeechrnthaagsetiunnfpreuhelritmtuyidnuengcoiundeeiaehuesltnhohtaiaienfdynauionaetyeifheodluaaoerrhuyreraaertaiahogtnwswisitabltuamxoltoeroteoontaorotbcgvipaneelwyrfteoaauwdwtrernltrfppaelilimrnrotweqircueandroaftnotreetlpnrepshmndedtewdhfoeyedpensnnegetteaeneasrtegludesrobrouwdghbparhnyetektrrterhnrfednotslwiasnypiohmtoocuteiyepoenkrhntaniltreiuermneiaptheaoohnhoumutvskeedneoiedwkpigteiioisnheufauneubihrtarheieheuyaasusrigawdissirltgphfitwlisiihsuerrommceaioisldevoluesiraieodtfineobsnsatpfgosdrotirfptalntrelioystyoosseftpnhaiegaoerieaidmttaeaghyrarrscelfrleteneahehvimhvnssairoeilmxpjtstsoefmrbhdinoheccbtntconmuspeoeshentefiteoontwonoeetrltiogdiomeshifomrolefdftesuolefriiwydbqzttonfarnditgntoaaelpshdemnatlphsbtnuahoalpalmneprsdhnavielancahlskiadocadtejhogiadegaywnetdehengeueeeeodornyrfycemttwnttdegtsuaootofymwirghroehsnrirofartfeeponyisasssethhnaeuyliwhptecauatpaneleeulahwaelouesrniibesaaeeatgdccsreoprosesenlosveuddstlititetsefosnelginneroneitewwilhtwersiilhitsrdnesdrhrfnlgtruassdaedytoaadsuentwtcinmeatrtepesoyottonycusotgmucdpaldealdteofsbdfleeaaxhronsitidepriahisccsdhpbiilselalnhrfornteaortaemikaglrtmercwdsaynnsvwnlduoekrunntotiuinnuhniveloihtelfaenauitftatctlenrbnhegblsnoanmoikofaonrsvnnfetrrftchetdpwssupecrwtcpawofdahysoiogoaalnedigfnrtgeltblgflo   ',\n",
-        " 'hhtihrfnftreefoafantsytlorrrehtqiesmrrluhesfteeaiwiusbhintrrsioiiinerrmhpdtytieorticabnlrhnptohoreilwhsttpseotosounywerhdchhpmcintooasahhjiteenatrfonsuermgaxtrutlwoebtarpetpartaesenhtehsirntsrsnrtfodlguahmesgskaeuitnatyhtuynnnntvgihwwelfpaiaersliafepabcpcmlehatothlswhudalsvueeoeatueatetaeheflthbrghsailtaeechnrthaagsteiunnfperuhlerimttuiydneungociudneeaieheuslnthothaiiaendfynuaioaneteyifehodulaaeorruhyrreaaretaaihotgnwwsistiabtluaxmolotertoeonotarootcbgvpianeelwryftoeaawudwrterlntrpfpaleilmirnortwqeiruceadnrofatntoretelprnephsmneddtwedhofeydepesnnngeetetaeenastreguldersoboruwgdhbaprhynetketrtrernhrfdenostlwaisnpyiomhtocoutieyeopenrkhnatnitlreuiernmeipathaeoonhhomuutsvkedeneioedkwpitgeioiishneuafunuebirhtahreiheeuayassuriagwdsisilrtghpfiwtliisihuserormmecaiiosledvoulesriaioedtifnebosnastpgfosrdotrifpatlnrteloiysytoossefptnhiaegoaereiaimdtteaagyhrarrsclefrelteenahhevihmvnssaioreimlxptjstosefrmbhidnoehcctbntocnmsupeeoshneteifteoontownoeetrtliodgioemshfiomorledfftseuoelfriiwybdqzttonafrnidtgtnoaealphsdenmatplhstbnuhaoaplalnmepsrdhanvileanachlksiaodcatdejohgidaegyawntedeehngueeeeeodronyfrycmettnwttedgtusaotoofmywigrhreohsrnirfoarfteeopnysiasssethhnaueylwihpetcaautpnaeleeulhawaleouserniibeasaeaetgcdcseroporseesnlsovedudsltittietesfonselignnreonietewwilthwesriihlitrsdnsedrrhfngltraussadedtyoadasunetwctinemattrepseoytotoyncuostgumcdapldaeldetofbsdfeleaxahrnosiitderpiaihscscdhbpiislellanhfrortnearotameikgalrmterwcdsyannvswndluokerunntoituinnuhinveolihetlfeanaiutfattcltenbrnhgeblnsoamnoiokfanorsnvnfterrtfchtedpswsuepcrtwcpwaofadhyosioogaanledgifntrgetlblfglo   ',\n",
-        " 'ihthnhfrefrtaeoftfnalstyrorrqethmiseurlrfhseateeuiiwishbrnrtisoieinihrmryptdoteicritlanbprnhotholrietwshetspsootyonuhwrehdhcipcmonothaasthijaeneotfrenusargmuxrtotwlaetbtreptpraeaseenthrhisrnsttsrnlfdohgaugmseesaknutihaytntyutnnnhviglwewifapsareflaibeapmccpalhehttohlwsluadesuvaeeoateuattefeehblhtsrhgtalicaeethrnghaaisetfunnuprerheltitmduyinnueigcoeundeeiashuehltnaohteiaiynfdinaueonaityeofheadluraoeyrhuarertaerhaianogtiwswasitubltoamxeltoerottoonoaorgtbcaviplneefwyrateodauwewtrtrnlprfpiaelrlimtnroiweqercurandtoafrnotleetepnrmpshdndedtewehfopyednensenegatteaeneesrtdgluoesrubrohwdgrbpaehnyttekerrtrrhnnfedlotsswiainyptohmuoocyteieepohnkrnntarilteeiuermntiapoheahohnuoumktvsneedeeoipdwkeigtiiioesnhuufabneutihrearheiehauyarsuswigasdistirlfgphlitwiisiehsumrroamcesioivldeeoluasirdieontfiseobtnsaopfgosdrftirlptaentrylioostyeossnftpehaiegaoarietidmataerghysarrfceltrleaenevhehvimhansseiroxilmspjtetsobfmrnhdicohencbtntcopmusseoethentefineoontwotoeeirltiogdsomeohiflmrofefdutesfolewriiqydbozttrnfatndiogntlaaedpshaemnhtlpnsbtouahaalpelmndprsvhnaaielhncailskcadoeadtgjhoeiadwgaydnetneheegeuoeeendoryyrftcemttwngtdeatsuoootwfymhirghroeisnrarofertfnepoayisesssnthhyaeuhliwcptetauaepanuleewlahoaelruesbniiaesateeacgdcosrespronesevlosdeudistletitftseeosnnlgionertneiiewwwlhtiersiilhdtsrdnesfrhrtnlgsruaesdaodytsaadtueniwtcanmeetrtopestyotconytusocgmuldpaldeaodtedfsbeflehaaxsronditiieprsahidccsihpbeilsnlalohrfernttaoriaemlkagertmdrcwnsaywnsvunldroektunnuotiuinnvhniielolhtenfaetauitftaectlnnrbbhegolsnoanmfikoraonnsvnrfetcrftdhetspwscupecrwtopawhfdaiysoaogoealnfdiggnrtbeltllgf o  ',\n",
-        " 'ihhtnhrfeftraefotfanlsytrorrqehtmiesurrlfhesateeuiwiisbhrntrisioeiinhrrmypdtotiecrtilabnprhnotohlreitwhsetpssotoyounhwerhdchipmcontohasathjiaeenotrfensuarmguxtrotlwaebttrpetpareaesenhtrhsirntstsnrlfodhguagmeseskanuithatyntuytnnnhvgilwweifpasaerfliabepamcpcalehhtothlswludaesvuaeoeatueatetfeheblthsrghtailcaeethnrghaaistefunnuperrhletimtduiynneuigoceudneeaisheuhlntaotheiiayndfinuaeoaniteyofehadulraeoyruharretarehaainotgiwwsastiubtloaxmelotertotonooarogtcbavpilneefwryatoedawuewrttrlnprpfialerlmitnoriwqeerucradntofarntoleteeprnmphsdneddtweehofpydenesnengeatetaeenestrdguloersuborhwgdrbapehynttkeertrrrnhnfdelostswaiinpytomhuocoytieeeophnrknnatritleeuiernmtipaohaehonhuomuktsvnedeeeiopdkweitgiioieshnuuafbnuetirheahreiheauayrssuwiagsdsitilrfghpliwtiiisehusmroramecsiiovledeoulasridioentifsebotnasopgfosrdftrilpatenrtyloiosyteossnfptehiaegoaareitimdateargyhsarrfcletrelaeenvhhevihmansseiorximlsptjetosbfrmnhidcoehnctbntocpmsuseeothneteifneoontowtoeeirtliodgsoemohfilmorfedfutsefoelwriiqybdozttrnaftnidogtnlaeadphsaenmhtplnstbouhaaaplelnmdpsrvhanailehnacilkscaodeatdgjoheidawgyadnteneehegueoeeendroyyfrtcmettnwgtedatusootowfmyhigrhreoisrnarfoerftneopaysiesssnthhyauehlwicpettaauepnauleewlhaoalerusebniiaeasteaecgcdosersporneesvlsodeduisltettifteseonsnligonretnieiewwwlthiesriihldtrsdnsefrrhtnglsrauesadodtysadatuneiwctanemettropsetytocoyntuoscgumldapldaeodetdfbsefelhaxasrnodiitierpsaihdcscihbpeislnllaohfrertntaroiamelkgaermtdrwcnsyawnvsundlroketunnuoituinnvhinieollhetnfeataiutfatecltnnbrbhgeolnsoamnfiokranonsnvrftecrtfdhtespswcuepcrtwopwahfadiyosaoogeanlfdgigntrbetlllfg o  ',\n",
-        " 'thihfhnrrfetoeafnftatslyrorrteqhsimelrurshfeetaeiiuwhsibrnrtosiinieimrhrtpydetoiirctnalbnrphhtooirleswthstepoostnoyurwhehdhccpimonotaahsihtjneaeftorunesgramrxutwtolteabertprptasaeetnehihrssnrtrstndfloaghusmgeasektuniyahtytnunntnivhgewlwafiprasealfiaebpccmphlaetthowlhsaulduseveeaoetauttaeeefhhlbthrsglatieacerhtnahgaesitnufnrpueehrltitmyudiunnecgionuedieeauhsetlhnhoataieifnydaniunoeaytiehfoeldauoarehryuerareatriahagontswiwisatlbutmaoxtleooretootnoaorbtgcivapenleywfretaouadwtwernrtlfrppeaililrmrntoewiqcreunardaotfonrteeltnperspmhdndeetdwfheoeypdnensenegttaeneaersetlgduseorrbuodwhgpbranheyettkrrethrrnefndtolsiwsayniphotmooucetyipeeoknhrtnnalirtieeumrenaitpehoahohnuoumvtkseendoeeiwdpkgietiiionsehfuuaenbuhitrraeheiehyuaausrsgiwaidssritlpgfhtilwsiiisheurrmocmaeoisidlveloeuisareidoftnioesbsntafpogdsoritfrtplatnerilyotsoysoestfnpaheiageoiraeditmataehgryrasrecfllrteneaeehvhmivhsnasrieolixmjpststeomfbrdhnihocebcntctnoumpsoeseehtnfetioenowtnoeotelritgoidmoseihofrmlofefdetuslofeirwidyqbtzotfnradntingotaalespdhmeanlthpbsntauohlaapmlenrpdsnhvaeialcnhaslikdacodaethjgoaiedagwyendtheneegeueeoeodnrryyfectmwttndtgestauoootyfwmrihgorhensiroraftrefpenoiyassseshtnheayuilhwtpceuataapeneluealwheaoleursinbiseaaeetadgccrsoerpsoseneolvsueddtsilitetstfesoenglnienorentiweiwhlwtreisliihstdrendshrfrlntgursadseaydotaasdeutntwicmnaerteteposoyttnocysutomgcupdlaedlatdoesfdblfeeaahxorsntidipeirhasiccdsphibliesalnlrhofnretoatreaimaklgtremcrdwasnysnwvlnudeorknutntouiniunnhvileiothleafneuatitftatcelrnnbehbgslonnaomkifooarnvsnnefrtfrctehdtwpsspucewrctapowdfhasyiogoaolaenidfgrngtlebtgllf o  ',\n",
-        " 'hhitrhnftferfeaoaftnysltrorrheqteimsrrulehfsetaewiuibsihtnrrisioiienrrhmdpytitoetrcibalnhrpnotoherlihwtsptestosouoynewhrcdhhmpictnoosahajhtieeanrtofsneumragtxurltowbeatprteaptreaeshnetshritnrsnstrofldughaemgskseaiunttahyutnynntngvhiwwlepfiaeasrilfapebapcmcelahothtslhwdulavseuoeaeutaeetathefetlbhgrshiatleacenhtrahgatsienufnepurlhremittiudyennuogicduenaeeiehsunlhttoahiieadnyfuniaaoenetiyefohudalearouryhrraerateaahitongwwistsaitbulxaomolettreonotoraooctgbpvaienlerwfyotaewadurwetlrtnprpflaiemlriontrqwieurecdarnfotatnrotelerpenhpmsenddwtdeohefdypesenngneeetateeantserugdlreosoburgwhdabrpyhenkttetrernrrhdfnesoltawsipniymothcouoityeoeeprnhkannttirlueeinrempitaahoenohhmouustkvdeneieeokdpwtiegoiiihsenauufunberithhaerhieeauayssruaiwgsdsilitrhgfpwiltiiisuhesormremaciisoelvduoelrsaioideitnfbesoantsgpofrsodrtfiapltrnetolyiysotsoespfntiheaogeaeraimitdetaaygrhrasrlcfeertleeanhhvehivmsnasoiermixltpsjotesrfbmihndeochtcnbotncsmpueesonhteietfoenootnweotetrildoigeosmfhoiomlrdeffstueeoflirwibyqdtzotanrfintdtgonealahpdsneampthltsnbhuoapaalnlemspdrahvnliaeanhcklisoacdtaedojghdieaygwatndeeenhugeeeeoerdnofyyrmctenttwetgdutastooomfwygihrerhorsinfraofretoenpsyaisseshtnhuayewlhiepctaatunpeaeluehlwalaoesureinbiaeasaetecgcdesoropsreensslvodedulsittteietfsnoesilngrnoeinteweiwtlwhseirhiilrtdssnderrfhgntlarsuasedtdoydasanutecwitenamtterspoetytoyocnoutsugcmadlpadleedotbfdsefelxahanrsoiidtreipiashscdcbhipsielllnafhortrenratomaiegklamretwrdcysnavnwsdnulkorenutnioutniunihvnoeilehltefnaiatuafttlcetbnnrghbenlosmaonoifknaronsnvtfretrcfthdespsweucptrcwwpoaafhdoyisooagnaelgdfitngrteblfllg o  ',\n",
-        " 'thhifhrnrfteoefanfattsylrorrtehqsiemlrrushefeteaiiwuhsbirntrosiiniiemrrhtpdyetioirtcnablnrhphtooirelswhtstpeootsnouyrwehhdchcpmiontoaashihjtneeaftrounsegrmarxtuwtlotebaerptrpatsaeetnheihsrsntrrsntdfolaguhsmegasketuinyathytunnnntivghewwlafpiraesalifaepbccpmhleattohwlshaudlusveeeoaetuatteaeehfhltbhrgslaiteaecrhntahagestinunfrpeuehlrtimtyuidunencgoinudeieaeuhestlnhhotaaiiefndyanuinoaeyteihfeolduaoaerhruyerraeartiaahgotnswwiistalbtumaxotloeorteoontoarobtcgivpaenelywrfetoauawdtwrenrltfrppealiilmrrnotewqicruenadraoftontreetlnpresphmdnedetwdfhoeeydpnesnengetteaneearstelgudserorboudwghpbarnhyeetktrrtehrnrefdntosliwasynpihomtoocuetiypeoeknrhtnanlitrieuemrneaiptehaohonhuomuvtskeednoeiewdkpgiteiioinshefuauenubhirtraheeiheyuaaussrgiawidssriltpghftiwlsiiishuerromcmeaoiisdlevloueisraeiodftinoebssnatfpgodsroitrftpaltnreiloytsyososetfpnahieagoeireadimtateahgyrrarseclflretneeaehhvmihvsnsarioelimxjptsstoemfrbdhinhoecbctnctonumspoeesehntfeitoeonwtoneoetlrtigodimoesihformolfedfetsuloefiriwdybqtztofnardnitngtoaaelsphdmenaltphbstnauholapamlnerpsdnhaveilacnahslkidaocdatehjogaideagywentdheenegueeeeoodrnryfyecmtwtntdtegstuaootoyfmwrighorehnsriorfatrfepeoniysasssehthneauyilwhtpecuaatapneeleualhwealoeusrinibseaaeeatdgccrseorposseenolsvueddtsliittestefsoneglinenroenitwewihltwresilihistrdensdhrrflngturasdsaeydtoaadseunttwcimneartteepsooyttnoycsuotmgucpdaledaltdeosfbdlfeeaaxhornstiidperihaisccsdphbiliseallnrhfonrteoarteamiakgltrmecrwdasynsnvwlndueokrnunttoiuninunhivleoithelafenuaittfattclernbnehgbslnonamokiofoanrvsnneftrfrtcehtdwpsspuecwrtcapwodfahsyoigooalaneidgfrntgletbglfl o  ',\n",
-        " 'hhtirhfntfrefeoaafntystlrorrhetqeismrrluehsfeteawiiubshitnrrisoiiinerrmhdptyiteotricbanlhrnpothoerilhwstptsetoosuonyewrhcdhhmpcitnoosaahjhiteenartfosnuemrgatxrultwobetapretaprteasehnteshirtnsrnsrtofdlugahemsgksaeiutntayhutynnnntgvihwwelpfaiearsilafpeabpccmelhaotthslwhdualvsueoeeauteaettaheeftlhbgrhsialteaecnhrtahagtseinunfeprulhermittiuydenunogciduneaeieehusnlthtohaiiaednfyunaiaoneetyiefhoudlaeaorurhyrrearaetaaihtognwwsitsiatbluxamooltetroenootraooctbgpviaenelrwyfoteawaudrwtelrntprfplaeimlironrtqweiurcedanrfoattnorteelrpnehpsmenddwtedohfedyepsenngneeettaeenatsreugldresoobrugwdhabpryhnektettrrenrhrdfensotlawispnyimohtcoouiteyoepernkhantntilrueienrmepiataheonohhmouustvkdeenieoekdwptigeoiiihsneaufuunebrihtharehieeauyassuraigwsdislirthgpfwitliisiuhseorrmemcaiioseldvuolersiaoieditfnbeosanstgpforsdortifaptlrnteoliyystososepftnihaeogaeeriamidtetaayghrrarslceferlteenahhevhimvsnsaoiremilxtpjsotserfmbihdneohctcbnotcnsmupeeosnhetieftoeonotwneoettrlidogieomsfhioomrldeffsteueolfiriwbydqtztoanfrindttgnoeaalhpsdnemaptlhtsbnhuaopalanlmesprdahnvlieaanchklsioadctadeojhgdiaeygawtnedeehnugeeeeeordonfyrymcetntwtetdgutsatooomfywgirherohrsnifroafrteoepnsyiasssehthnuaeywliheptcaautnpaeeleuhlawlaeosuerinibaesaaeetcgdcesrooprseesnslovdeudlstittieetsfnoseilgnrneoinetwewitlhwserihilirtsdsnedrrhfgnltarusasdetdyodaasnuetcwtienmattrespeotyotyoncoustugmcadpladeledtobfsdeflexaahnrosiitdrepiiahssccdbhpisilellanfhrotrneraotmaeigkalmrtewrcdysanvnswdnlukoernuntiotuninuihnvoeliehtlefaniautafttlctebnrnghebnlsomanooikfnaornsvntfertrfcthedspwseupctrwcwpaoafdhoysiooganalegdiftnrgtelbflgl o  ',\n",
-        " 'ithhnfhrerftaoeftnfaltsyrrorqtehmsieulrrfsheaeteuiiwihsbrrntiosieniihmrrytpdoeticirtlnabpnrhohtoliretswhestpsootynouhrwehhdcicpmoonthaastihjaneeoftreunsagrmurxtowtlatebterptrpaesaeetnhrihsrsnttrsnldfohagugsmeeaskntuihyatnytutnnnhivglewwiafpsraefalibaepmccpahlehttohwlslaudeusvaeeoaetuattefeehbhltshrgtlaiceaetrhngahaiestfnunurperehlttimdyuinuneicgoenudeieasuhehtlnahoteaiiyfndianuenoaiyteohfealduroaeyhruaerrtearhiaangotiswwaistulbtomaxetloeorttoonooargbtcaivplenefywraetoduawetwrtnrlpfrpiealrilmtrnoiewqecrurnadtaofrontleetenprmsphddnedetwefhopeydnneseengatteaneeerstdlguoserurbohdwgrpbaenhytetkerrtrhrnnefdltossiwaiynpthomuoocyetiepeohknrntnarliteieuemrntaipoehahhonuuomkvtsneedeoeipwdkegitiiioenshufuabenuthireraheeihayuarusswgiasidstrilfpghltiwisiieshumrroacmesoiivdleelouaisrdeionftisoebtsnaofpgodsrfitrltpaetnryilootsyesosntfpeahieagoairetdimaaterhgysrarfecltlreaneevehhvmihasnserioxlimsjptestobmfrndhichoenbctnctopumssoeetehntfeinoeonwtoteoeilrtigodsmoeoihflrmoffeduetsfloewiriqdybotztrfnatdniongtlaaedsphamenhltpnbstoauhalapemlndrpsvnhaaeilhcnaislkcdaoedatghjoeaidwagydentnheeeeguoeeenodryryftecmtwtngdteastuoootwyfmhrighoreinsraorfetrfnpeoaiysesssnhthyeauhilwctpetuaaeapnuelewalhoealreusbiniaseateeacdgcorsesrponseevolsdueditsleittfsteesonnglioenrteniiwewwhltiresilihdstrdensfhrrtlngsuraedsaoydtsaadteunitwcamneerttoepstoytcnoytsuocmgulpdaledaotdedsfbelfehaaxsorndtiiipershaidccsiphbelisnallorhfenrttoarieamlakgetrmdcrwnasywsnvulndreoktnunutoiuninvnhiileolthenafetuaittfaetclnrnbbehgoslnonamfkioroannvsnreftcfrtdehtswpscpuecwrtoapwhdfaisyoagooelanfidggrntbletlglf  o ',\n",
-        " 'ihhtnrhfetfrafeotafnlystrrorqhetmeisurrlfehsaeteuwiiibshrtnriisoeiinhrrmydptoitectrilbanphrnoothlerithwseptsstooyuonhewrhcdhimpcotnohsaatjhiaeenortfesnuamrgutxroltwabettpretapreeasehntrshirtnstnsrlofdhugagemseksaniuthtaynutytnnnhgvilwweipfasearfilabpeampccaelhhotthslwlduaevsuaoeeauteaettfheebtlhsgrhtialceaetnhrgahaitsefnunueprrlhetmitdiuynenuiogceduneaeisehuhnltatoheiiaydnfiunaeaonietyoefhaudlreaoyurharretraehaaintogiwwsatsiutbloxameoltetrotnoooraogctbapvilenefrwyaotedwauerwttlrnpprfilaermlitonriqweeurcrdantfoartnolteeerpnmhpsdenddwteeohfpdyensenegneaettaeenetsrdugloresuobrhgwdrabpeyhntkteetrrrnrhndfelsotsawiipnytmohucooyiteeoephrnknantrtileueienrmtpiaoahehnohumoukstvndeeeieopkdwetigioiiehsnuaufbunetriheharehieaauyrssuwaigssditlirfhgplwitiiiseuhsmorraemcsiioveldeuolarsidoienitfsbeotansogpforsdfrtilapterntyolioystesosnpfteihaeogaaeritmidaetaryghsrarflceterlaeenvhhevhimasnseoirxmilstpjeotsbrfmnihdceohntcbnotcpsmuseeotnhetiefnoeonotwteoeitrlidogseomofhilomrfdefustefeolwiriqbydotztranftindotgnleaadhpsanemhptlntsbohuaapalenlmdsprvahnaliehanciklscoadetadgojhediawygadtneneeheugeoeeenrdoyfyrtmcetntwgetdautsotoowmfyhgirheroirsnafroefrtnoepasyiesssnhthyuaehwlicepttaauenpauelewhlaolaersuebiniaaestaeeccgdoesrsoprneesvsloddeuilstettifetsenosnilgornetineiwewwtlhiserihildrtsdsnefrrhtgnlsarueasdotdysdaatnueicwtaenmettrospettyocyontouscugmladpladeoedtdbfseeflhxaasnrodiitirepsiahdsccibhpesilnllaofhretrntraoimaelgkaemrtdwrcnysawvnsudnlrkoetnunuiotuninvihnioellehtnefatiautaftelctnbnrbgheonlsomanfoikrnaonnsvrtfectrfdthesspwceupctrwowpahafdioysaoogenalfgdigtnrbtellflg  o ',\n",
-        " 'tihhfnhrreftoaefntfatlsyrrortqehsmielurrsfheeateiuiwhisbrrntoisineiimhrrtypdeotiicrtnlabnprhhotoilrestwhsetposotnyourhwehhdccipmoontahasithjnaeefotruensgarmruxtwotltaebetrprtpaseaetenhirhssrntrtsndlfoahgusgmeaesktnuiyhatyntuntnnihvgelwwaifprsaeafliabepcmcphalethtowhlsaluduesveaeoeatutateefehhblthsrgltaiecaerthnaghaeistnfunrupeerhlttimyduiunnecigoneudieeaushethlnhaotaeiifyndainuneoayitehofeladuoraehyruearretarihaagnotsiwwiastlubtmoaxtelooertotonooarbgtciavpelneyfwreatoudawtewrntrlfprpeialirlmrtnoeiwqcerunradatofornteletneprsmphddneedtwfehoepydnneseengtatenaeerestldgusoerrubodhwgprbanehyettkrerthrrnenfdtlosiswayinphtomouoceytipeeokhnrtnnalritieeumernatipeohahhonuuomvktsenedoeeiwpdkgeitiiioneshfuuaebnuhtirreaheeihyauaurssgwiaisdsrtilpfghtliwsiiisehurmrocameosiidvleleouiasrediofntiosebstnafopgdosriftrtlpatenriylotosyseostnfpaehiaegoiaredtimaatehrgyrsarefclltrenaeeevhhmvihsansreiolximjsptsetombfrdnhihcoebnctcntoupmsoseeethnfteioneowntoetoelirtgiodmsoeiohfrlmoffedeutslfoeiwridqybtoztfrnadtninogtalaesdphmaenlhtpbnstaouhlaapmelnrdpsnvhaeailchnasilkdcaodeathgjoaeidawgyednthneeeegueoeeondrryyfetcmwttndgtesatuoootywfmrhigohrenisroarfterfpneoiayssesshntheyauihlwtcpeutaaaepneuleawlheoalerusibnisaeaeteadcgcrosersposneeovlsudedtisliettsfteseongnlieonretniwiewhwltriesliihsdtrednshfrrltngusradesayodtasadetuntiwcmaneretteopsotytncoystuomcgupldaeldatodesdfblefeahaxosrntdiipierhsaicdcspihbleisanllrohfnertotareiamalkgtermcdrwansyswnvlunderokntuntuoinuinnvhilieotlheanfeutaittfateclrnnbebhgsolnnoamkfiooranvnsnerftfcrtedhtwspspcuewcrtaopwdhfasiyogaooleanifdgrgntlbetgllf  o ',\n",
-        " 'hihtrnhftefrfaeoatfnylstrrorhqetemisrurlefhseatewuiibishtrnriisoieinrhrmdyptiotetcriblanhprnoothelrihtwspetstsoouyonehwrchdhmipctonoshaajthieaenrotfsenumargtuxrlotwbaetptreatpreeashentsrhitrnsntsrolfduhgaegmskesainutthayuntyntnnghviwlwepifaesariflapbeapmccealhohttshlwdluavesuoaeeuateeatthfeetblhgsrhitalecaenthraghatisenfuneuprlrhemtitiduyennuoigcdeunaeeieshunhlttaohieiadynfuinaaeoneityeofhuadleraouyrhrarertaeahaitnogwiwstasitublxoamoeltterontooroaocgtbpavielnerfwyoatewdaurewtltrnpprfliaemrliotnrqiweuercdranftoatrnotleerepnhmpsedndwdteoehfdpyesnengeneeatteaentesrudglroesoubrghwdarbpyehnktteterrnrrhdnfeslotaswipinymtohcuooiyteoeeprhnkannttrilueeinermptiaaohenhohmuousktvdneeieeokpdwteigoiiihesnauufubnertihhearheieaauysrsuawigssdiltirhfgpwlitiiisuehsomrreamcisioevldueolrasiodieintfbseoatnsgopfrosdrftialptrentoyliyostseospnftiehaoegaearimtideatayrghrsarlfceetrleaenhvhehvimsansoeirmxiltspjoetsrbfminhdecohtncbontcspmueseontheitefoneoontwetoetirldiogesomfohiolmrdfefsuteefoliwribqydtoztarnfitndtognelaahdpsnaemphtltnsbhouapaalnelmsdpravhnlaieahnckilsocadteadogjhdeiaywgatdneenehuegeeoeerndofyyrmtcenttwegtduatstooomwfyghirehrorisnfarofertonepsayisesshnthuyaewhliecptataunepaeulehwlaloaesrueibniaaesateeccgdeosrosprenessvloddeulisttetieftsneosinlgroneitnewiewtwlhsierhiilrdtssdnerfrhgtnlasruaesdtodydsaantueciwteanmtetrsopettyoyconotusucgmaldpaldeeodtbdfseeflxhaansroiditriepisahsdccbihpseillnlafohrternrtaomiaeglkamertwdrcynsavwnsdunlkroentuniuotnuinivhnoielelhtenfaitauatftlectbnnrgbhenolsmoanofiknraonnsvtrfetcrftdhesspwecuptcrwwopaahfdoiysoaognealgfditgnrtbelfllg  o ',\n",
-        " 'thhifrhnrtfeofeanafttyslrrortheqseimlrrusehfeetaiwiuhbsirtnroisiniiemrrhtdpyeitoitrcnbalnhrphotoierlshwtspteotosnuoyrewhhcdhcmpiotnoasahijhtneeafrtousnegmrartxuwltotbeaeprtraptseaethneishrstnrrnstdoflaughsemgaksetiunytahyutnnnntigvhewwlapfireasailfapebcpcmhelatothwslhaduluvseeoeaeutatetaehefhtlbhgrsliateeacrnhtaahgetsinnufrepuelhrtmityiuduenncogindueiaeeuehstnlhhtoaaiiefdnyauninaoeyetihefoludaoearhuryerraeratiaahgtonswwiitsaltbumxaotoleotreonotoraobctgipvaeenlyrwfeotauwadtrwenlrtfprpelaiimlrronteqwicurendarafototnretelnrpeshpmdendewtdfoheedypnsenegnetetaneeartselugdsreorobudgwhpabrnyheekttrtrehnrredfntsoliawsypnihmotocoueitypoeekrnhtannltiriueemnreapiteahohnohumouvstkedenoieewkdpgtieioiinhsefauueunbhritrhaeehieyauaussrgaiwisdsrlitphgftwilsiiisuherormcemaoiisdelvluoeirsaeoidfitnobessantfgpodrsoirtftapltrneiolytysossoetpfnaiheaogeieradmitaetahygrrraselcflertneeaehhvmhivssnaroielmixjtpssotemrfbdihnheocbtcncotnusmpoeesenhtfietooenwotneeotltrigdoimeosifhoromlfdefestuleofiirwdbyqttzofanrdintntgoaealshpdmnealpthbtsnahuolpaamnlerspdnahveliacanhsklidoacdtaehojgadieaygwetndheeneugeeeeoordnrfyyemctwnttdetgsutaotooymfwrgihoerhnrsiofratfrepoenisyasssehhtneuayiwlhtepcuaatanpeeeluahlwelaoesuriinbsaeaeaetdcgcresoropsseenoslvudedtlsiittesetfsnoegilnernoeintwweihtlwrseilhiisrtdesndhrrflgntuarsdaseytdoadasenuttcwimenartteespootytnyocsoutmugcpadleadltedosbfdlefeaxahonrstiidpreihiascscdpbhilsieallnrfhontreoratemaiagkltmrecwrdaysnsvnwldnuekornnuttiounniunihvloeitehlaefnuiattafttlcerbnneghbsnlonmaokoifonarvnsnetfrftrcethdwspspeucwtrcawpodafhsoyigooalnaeigdfrtngltebgfll  o ',\n",
-        " 'hthirfhntrfefoeaanftytslrrorhteqesimrlrueshfeetawiiubhsitrnriosiiniermrhdtpyietotircbnalhnrpohtoeirlhswtpstetoosunoyerwhchdhmcpitonosaahjihtenearftosunemgratrxulwtobteapertarptesaehtnesihrtsnrnrstodfluaghesmgkaseituntyahuytnnnntgivhwewlpafierasialfpaebpccmehlaotthswlhdaulvuseoeeauetaettaheefthlbghrsilateeacnrhtaahgtesinnuferpulehrmtitiyudeunnocgidnueaieeeuhsntlhthoaiaiedfnyuanianoeeytiehfouldaeoaruhryrerareataiahtgonwswitisatlbuxmaootletorenootroaocbtgpivaeenlrywfoetawuadrtwelnrtpfrpleaimilrorntqewiucrednarfaottonrteelrnpehspmedndwetdofhedeypsnengeneettaeneatrseulgdrseoorbugdwhapbrynheketttrrenhrrdefnstolaiwspynimhotcoouietyopeerknhatnntliruieenmrepaitaehonhohmuousvtkdeenioeekwdptgieoiiihnseafuuuenbrhithraeheieayuasusragiwsidslrithpgfwtilisiiusheorrmecmaioisedlvuloerisaoeidiftnboesasntgfpordsoritfatplrtneoilyytsossoeptfniaheoageeiramditeatayhgrrraslecfelrteneahehvhmivssnaoriemlixtjpsostermfbidhnehoctbcnoctnsumpeoesnehtifetooenowtneeottlridgoiemosfihoormldfefsetuelofiirwbdyqttzoafnridnttngoeaalhspdnmeaplthtbsnhauoplaanmlesrpdanhvleiaacnhksliodactdaeohjgdaieyagwtendehenuegeeeeorodnfryymectnwttedtgustatooomyfwgriheorhrnsiforaftreopensiyasssehhtnueaywilhetpcauatnapeeeluhalwleaoseuriinbaseaaeetcdgcersoorpsesensolvduedltsititeestfnsoeiglnrenoientwweithlwsreihliirstdsendrhrfglntaursadsetydodaasneutctwiemnatrtesepotoytynocosutumgcapdlaedletdobsfdelfexaahnorsitidrpeiihassccdbphislielalnfrhotnreroatmeaigaklmtrewcrdyasnvsnwdlnukeornnutitounniuinhvoleiethleafniuatatftltcebrnngehbnslomnaookifnoarnvsntefrtfrctehdswpsepuctwrcwapoadfhosyiogoanlaegidftrngtlebfgll  o ',\n",
-        " 'ithhnfrhertfaofetnafltysrrroqthemseiulrrfsehaeetuiwiihbsrrtnioiseniihmrrytdpoeitcitrlnbapnhrohotliertshwesptsotoynuohrewhhcdicmpootnhasatijhaneeofrteusnagmrurtxowltatbeteprtrapeseaethnrishrstntrnsldofhauggsemeaksntiuhytanyuttnnnhigvlewwiapfsreafailbapemcpcahelhtothwslladueuvsaeoeaeutatetfehebhtlshgrtliaceeatrnhgaahietsfnnuureprelhttmidyiunuenicogendueiaesuehhtnlahtoeaiiyfdniaunenaoiyetohefaludroeayhuraerrterahiaangtoiswwaitsultbomxaetoleotrtonoooragbctaipvleenfyrwaeotduwaetrwtnlrpfprielarimltronieqwecurrndataforotnleteenrpmshpddendewtefohpedynnseeegnatetaneeertsdlugosreurobhdgwrpabenyhtektertrrhnrnedfltsosiawiypnthmouocoyeitepoehkrnntanrltieiueemnrtapioeahhhnouumokvstnedeeoiepwkdegtiiioienhsufaubeunthrierhaeehiayaurusswgaisisdtrlifphgltwiisiiesuhmroracemsoiivdeleluoairsdeoinfitsobetsanofgpodrsfirtltapetrnyiolotysessontpfeaiheaogaiertdmiaaetrhygsrrafelctleraneevehhvmhiassneroixlmisjtpesotbmrfndihcheonbtcncotpusmsoeetenhtfienooenwotteeoiltrigdosmeooifhlromffdeuestfleowiirqdbyottzrfantdinontglaeadshpamnehlptnbtsoahualpaemnldrspvnahaelihcanisklcdoaedtaghojeadiwaygdetnnheeeeugoeeenordyrfytemctwntgdetasutootowymfhrgihoerinrsaofretfrnpoeaisyesssnhhtyeuahiwlcteptuaaeanpueelwahloelaresubiinasaeteaecdcgoressropnseevosldudeitlseittfsetesnongiloernteiniwwewhtlirseilhidsrtdesnfhrrtlgnsuaredasoytdsadatenuitcwamenerttoesptotycnyotsoucmuglpadleadoteddsbfelefhaxasonrdtiiipreshiadcscipbhelsinallorfhentrtoraiemalagketmrdcwrnayswsvnuldnrekotnnuutiounnivnihiloeltehnaeftuiattafetlcnrbnbeghosnlonmafkoironanvnsretfcftrdethswspcpeucwtroawphdafisoyagooelnafigdgrtnbltelgfl   o',\n",
-        " 'ihthnrfhetrfafoetanflytsrrroqhtemesiurlrfeshaeetuwiiibhsrtrniioseinihrmrydtpoietctirlbnaphnroohtleirthswepststooyunoherwhchdimcpotonhsaatjihaeneorftesunamgrutrxolwtabtetpertarpeesaehtnrsihrtsntnrslodfhuaggesmekasnituhtyanuyttnnnhgivlwewipafserafialbpaempccaehlhotthswlldauevusaoeeauetaettfheebthlsghrtilaceeatnrhgaahitesfnnuuerprlehtmtidiyuneuniocgednueaieseuhhntlathoeiaiydfniuaneanoieytoehfauldreoayuhrarertreahaiantgoiwswatisutlboxmaeotletortnoooroagcbtapivleenfrywaoetdwuaertwtlnrppfrilearmiltorniqeweucrrdnatfaortonlteeernpmhspdedndweteofhpdeynsneegenaettaeneetrsdulgorseuorbhgdwrapbeynhtketetrrrnhrndeflstosaiwipyntmhoucooyieteopehrknnatnrtlieuieenmrtpaioaehhnhoumuoksvtndeeeioepkwdetgiioiiehnsuafubuentrhiehraeheiaayursuswagissidtlrifhpglwtiiisieushmorraecmsioivedleuloarisdoeiniftsboetasnogfpordsfritlatpertnyoiloytsessonptfeiaheoagaeirtmdiaeatryhgsrraflectelraenevhehvhmiassneorixmlistjpeostbrmfnidhcehontbcnoctpsumseoetnehtifenooenowtteeoitlridgosemoofihlormfdfeusetfelowiirqbdyottzrafntidnotngleaadhspanmehpltntbsohauaplaenmldsrpvanhaleihacnikslcodaetdagohjedaiwyagdtenneheeuegoeeenrodyfrytmectnwtgedtaustotoowmyfhgriheorirnsaforeftrnopeasiyesssnhhtyueahwilcetptauaenapueelwhalolearseubiinaasetaeeccdgoerssorpnesevsolddueiltsetitfestensoniglorentieniwwewthlisreihlidrstdsenfrhrtglnsaureadsotydsdaatneuictwaemnetrtosepttoycynotosucumglapdlaedoetddbsfeelfhxaasnorditiirpesihadsccibpheslinlalofrhetnrtroaimealgakemtrdwcrnyaswvsnudlnrkeotnnuuitounnivinhiolelethneaftiuatatfeltcnbrnbgehonslomnafokirnoannvsrtefctfrdtehsswpcepuctwrowaphadfiosyaogoenlafgidgtrnbtlelfgl   o',\n",
-        " 'tihhfnrhretfoafentaftlysrrrotqhesmeilurrsfeheaetiuwihibsrrtnoiisneiimhrrtydpeoitictrnlbanphrhootilersthwseptostonyuorhewhhcdcimpootnahsaitjhnaeefortuesngamrrutxwolttabeetprrtapseeatehnirshsrtnrtnsdlofahugsgemaekstniuyhtaynutntnnihgvelwwaipfrseaafilabpecmpchaelthotwhslalduuevseaoeeauttaetefhehbtlhsgrltiaeceartnhagaheitsnfnurueperlhttmiydiuunenciogneduieaeusehthnlhatoaeiifydnaiunneaoyiethoeflaudoreahyurearretraihaagntosiwwiatslutbmoxateoloetrotnooorabgctiapvelenyfrweaotudwaterwntlrfppreilairmlrtoneiqwceurnrdaatfoortneltenerpsmhpddenedwtfeohepdynnseeegntaetnaeeretsldugsoreruobdhgwprabneyhetktretrhrnrendftlsoisawyipnhtmooucoeyitpeoekhrntnanlrtiieuemenratpieoahhhnouumovkstendeoeiewpkdgetiiioinehsfuauebunhtrirehaeehiyaauurssgwaiissdrtlipfhgtlwisiiiseuhrmorcaemosiidvelleuoiarsedoifnitosbestanfogpdorsifrttlapterniyoltoyssesotnpfaeihaeogiaerdtmiaaethrygrsraeflclternaeeevhhmvhisasnreoilxmijstpseotmbrfdnihhceobntccnotupsmoseeetnhftieonoewnoteteolitrgidomseoiofhrlomffdeeustlfeoiwirdqbytotzfrandtinnotgaleasdhpmanelhptbntsaohulapamenlrdspnvahealichansikldcoadetahgojaediawygedtnhneeeeugeoeeonrdryfyetmcwtntdgetsautootoywmfrhgiohernirsoafrtefrpnoeiasysesshnhteyuaihwltceputaaaenpeuelawhleolaersuibinsaaeetaedccgroesrsopsneeovsluddetilsiettsfetsenognileornetinwiwehwtlriselihisdrtedsnhfrrltgnusardeasyotdasdaetnuticwmaenretteospottyncyostoumcugpladeladtoedsdbfleefahxaosnrtdiipirehsiacdscpibhlesianllrofhnetrotraeimaalgktemrcdwranysswvnludnerkontnutuionuninvihlioetlehanefutiattaftelcrnbnebghsonlnomakfoiornavnnsertffctredthwssppceuwctraowpdhafsioygaoolenaifgdrgtnlbteglfl   o',\n",
-        " 'hithrnfhterffaoeatnfyltsrrrohqteemsirulrefsheaetwuiibihstrrniiosienirhmrdytpioettcirblnahpnroohtelirhtswpesttsoouynoehrwchhdmicptoonshaajtiheaneroftseunmagrturxlowtbatepteratrpeesahetnsrihtrsnntrsoldfuhagegsmkeasintuthyaunytntnnghivwlewpiafesraifalpbaepmcceahlohttshwldlauveusoaeeuaeteatthfeetbhlgshritlaeceantrhagahtiesnfnueurplrehmttiidyuenunoicgdenuaeieesuhnhtltahoieaidyfnuianaenoeiyteohfualderoauyhrraerrteaahiatngowiswtaistulbxomaoetlteorntoorooacgbtpaivelenrfywoaetwduaretwltnrppfrlieamrilotrnqiewuecrdrnaftaotrontleerenphmspeddnwdetoefhdpeysnnegeeneatteanetersudlgroseourbghdwarpbyenhktetterrnrhrdnefsltoasiwpiynmthocuooiyetoeperhknantntrliueienemrptaiaoehnhhomuuoskvtdneeieoekpwdtegioiiihensaufuubenrthiheraheeiaayusrusawgissidltrihfpgwltiiisiueshomrreacmisoievdlueloraisodeiinftbsoeatsngofprodsrfitaltpretnoyilyotssesopntfieahoeageairmtdieaatyrhgrsralfecetlreanehvehhvmisasnoerimxlitsjpoestrbmfindhechotnbconctspumesoentehitfeonoeonwteteotilrdigoesmofoiholrmdffesuetefloiwirbqdytotzarfnitdntongelaahdspnamephlttnbshoaupalanemlsdrpavnhlaeiahcnkislocdatedaoghjdeaiywagtdenenheueegeoeernodfyrymtecntwtegdtuasttooomwyfghriehorrinsfaorfetronpesaiysesshnhtuyeawhilectpatuaneapeuelhwalloeasreuibinaaseateeccdgeorsosrpensesvoldduelitsteitefstnesoinglroenitenwiwetwhlsirehilirdstsdenrfhrgtlnasuraedstoyddsaanteucitweamntertsoepttoyycnootsuucmgalpdaledeotdbdsfeelfxhaansoridtiripeishasdccbiphselilnalforhtenrrtoamieaglakmetrwdcrynasvwsndulnkreontnuiutonuniivnhoileelthenafituaattfletcbnrngbehnoslmonaofkinroannvstreftcfrtdehsswpecputcwrwoapahdfoisyoagonelagfidtgrntbleflgl   o',\n",
-        " 'thihfrnhrtefofaenatftylsrrrothqesemilrursefheeatiwuihbisrtrnoiisnieimrhrtdypeiotitcrnblanhprhootielrshtwspetotsonuyorehwhchdcmipotonashaijthneaefrotusengmarrtuxwlottbaeeptrratpseeathenisrhstrnrntsdolfauhgsegmakestinuythayuntnntnighvewlwapifresaaiflapbecpmchealtohtwshladluuveseoaeeuatteatehfehtblhgsrlitaeecarnthaaghetisnnfureupelrhtmtiyiduuenncoigndeuiaeeueshtnhlhtaoaieifdynauinnaeoyeitheofluadoerahuyrerarertaiahagtnoswiwitasltubmxoatoeloterontooroabcgtipaveelnyrfweoatuwdatrewnltrfppreliaimrlrotneqiwcuerndraaftootrnetlenrepshmpdednewdtfoehedpynsneegenteatneaertesludgsroeroubdghwparbnyehekttrterhnrrednftsloiaswypinhmtoocuoeiytpoeekrhntannltriiueemneraptieaohhnhoumuovsktedneoieewkpdgteiioiinhesfauueubnhrtirheaeheiyaauusrsgawiissdrltiphfgtwlisiiisuehromrceamoisidevllueoiraseodifintobsesatnfgopdrosirfttalptrenioyltyossseotpnfaiehaoegieardmtiaeathyrgrrsaelfcletrneaeehvhmhvissanroeilmxijtspsoetmrbfdinhhecobtnccontuspmoeseenthfiteoonewonteetoltirgdiomesoifohrolmfdfeesutlefoiiwrdbqyttozfarnditnntogaelashdpmnaelphtbtnsahoulpaamnelrsdpnavhelaicahnskildocadteahogjadeiaywgetdnheneeuegeeoeorndrfyyemtcwnttdegtsuatotooymwfrghioehrnrisofartferponeisaysseshhnteuyaiwhltecpuataanepeeulahwleloaesruiibnsaaeeatedccgreosrospseneosvluddetlisitetseftsneoginleroneitnwwiehtwlrsielhiisrdtesdnhrfrlgtnuasrdaesytodadsaentutciwmeanrtetesopottynycosotumucgpaldealdteodsbdfleefaxhaonsrtidipriehisacsdcpbihlseialnlrfohnterortaemiaaglktmercwdraynssvwnldunekronntutiuonnuinivhloietelhaenfuitatatftlecrbnnegbhsnolnmoakofionravnnsetrfftcretdhwssppecuwtcrawopdahfsoiygoaolneaigfdrtgnltbegfll   o',\n",
-        " 'htihrfnhtreffoaeantfytlsrrrohtqeesmirluresfheeatwiuibhistrrnioisineirmhrdtypieotticrbnlahnprohoteilrhstwpsettosounyoerhwchhdmciptoonsahajithenaerfotsuenmgartruxlwotbtaepetrartpeseahtensirhtsrnnrtsodlfuahgesgmkaesitnutyhauyntnntngihvwelwpaifersaiaflpabepcmcehalothtswhldaluvuesoeaeueatetathefethblghsriltaeecanrthaaghteisnnfueruplerhmttiiydueunnocigdneuaieeeushnthlthaoiaeidfynuainaneoeyitehofuladeorauhyrrearretaaihatgnowsiwtiastlubxmoaoteltoernotorooacbgtpiaveelnryfwoeatwudartewlntrpfprleiamirlortnqeiwucerdnrafatotorntelernephsmpeddnwedtofehdepysnnegeenetatenaetresuldgrsoeorubgdhwaprbynehketttrernhrrdenfstloaiswpyinmhtocouoieytopeerkhnatnntlriuieenmerpatiaeohnhhomuuosvktdeneioeekwpdtgeioiiihnesafuuuebnrhtihreaheeiayausursagwisisdlrtihpfgwtliisiiusehormrecamiosiedvluleoriasoediifntboseastngfoprdosriftatlprtenoiylytossseoptnfiaehoaegeiarmdtieaatyhrgrrsalefceltrenaehevhhmvissanoreimlxitjsposetrmbfidnhehcotbncocntsupmeosenethifteooneownteetotlirdgioemsofiohorlmdffeseutelfoiiwrbdqyttozafrnidtntnogealahsdpnmaeplhttbnshaouplaanmelsrdpanvhleaiachnksilodcatdeaohgjdaeiyawgtednehneueegeeoerondfryymetcnwttedgtusattooomywfgrhieohrrnisfoarfteropnesiaysseshhntueyawihletcpautanaepeeulhawlleoaseruiibnasaeaetecdcgerosorspesnesovldudeltistietesftnseoignlreonietnwwiethwlsriehliirsdtsednrhfrgltnausradestyoddasanetuctiwemantretseoptotyyncoostuumcgapldaeldetodbsdfelefxahanosritdirpieihsascdcbpihsleilanlfrohtnerrotameiagalkmterwcdryansvswndlunkeronntuituonnuiinvholieetlheanfiutaattfltecbrnngebhnsolmnoaokfinoranvnsterftfcrtedhswspepcutwcrwaopadhfosiyogaonleagifdtrgntlbefgll   o']"
-       ]
-      }
-     ],
-     "prompt_number": 22
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6bs"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 23,
-       "text": [
-        "'hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnroteletpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvnaiaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrtebltllgfo'"
-       ]
-      }
-     ],
-     "prompt_number": 23
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join([c[0] for c in every_nth(c6bs, 3)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 24,
-       "text": [
-        "'hit'"
-       ]
-      }
-     ],
-     "prompt_number": 24
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6bs.find('e', 13)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 25,
-       "text": [
-        "28"
-       ]
-      }
-     ],
-     "prompt_number": 25
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "len(c6bs) / 978"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 26,
-       "text": [
-        "1.6083844580777096"
-       ]
-      }
-     ],
-     "prompt_number": 26
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6bs[55:60]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 27,
-       "text": [
-        "'bnrrt'"
-       ]
-      }
-     ],
-     "prompt_number": 27
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[(c6bs[0] + c6bs[i] + c6bs[2*i] + c6bs[3*i], i) for i in range(int(len(c6bs) / 3)) if c6bs[i] == 'e' and c6bs[2*i] == 'i' ]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 28,
-       "text": [
-        "[('heih', 177), ('heit', 207), ('heip', 307), ('heil', 522)]"
-       ]
-      }
-     ],
-     "prompt_number": 28
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[c for c in chunks(c6bs, 522)]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 29,
-       "text": [
-        "['hithhnfrferteaofftnasltyorrreqthimserulrhfsetaeeiuiwsihbnrrtsioiienirhmrpytdtoeircitalnbrpnhtohorliewtshtesposotoynuwhredhhcpicmnootahashtijeanetofrneusragmxurttowleatbrtepptraaesenethhrisnrststrnfldoghaumgseseakuntiahyttnyuntnnvhigwlewfiapasrelfaiebapcmcplahethtolhwsuladseuveaeotaeutateefehlbhtrshgatliaceehtrnhgaasietufnnpurehrelittmudyinnuegicouendeeiahsuelhtnoahtieainyfdniauoenatiyefohedaluaroeryhuraeraterahiaongtwiswsaitbultaomxletoreototonaoortgbcvaipnleewfyrtaeoaduwwetrrtnlrpfpaiellrimntrowieqrecuarndotafnrotel',\n",
-        " 'etpenrpmshnddetdewhefoypedennsneegtateeanesertgdlueosrburowhdgbrpahenyttekrertrrhnfnedoltswsianiypothmouoctyeieeponhkrnntairlteeiuremnitaphoeaohhnouumtkvsenedeeoidpwkiegtiiiosenhuufanbeuithraerhieehuayasrusiwgadsisitrlgfphiltwiisihesurmromaceisoilvdeoelusairideotnfiesobntsapofgsodrtfirpltanetrlyiosotyoessfntpheaigeaoraieitdmtaaegrhyasrrcfelrtleeanehvehivmhnassieroixlmpsjttesofbmrhndiochecnbttncompusesoehtenetfienootnwooteeriltoigdosmehoifmlroeffdtuesoflerwiiyqdbzottnrfantdigontalaepdsheamnthlpsnbtuoahaalplemnpdrshvna',\n",
-        " 'iaelnhcaliskacdoaedtjghoieadgwayndetenhegeeueoeednoryyrfctemttwntgdetasuoootfwymihrgrhoesinrraofretfenpoyaissesstnhhayeulhiwpcteatuapeanlueelwahaoeluresnbiieasaeteagcdcsorepsroenselvosedudsitlteittfseoesnlnginoernteieiwwlwhteirsiilhtdsrndesrfhrntlgrsuasedadoytasadutenwitcnametertpoesytotocnyutsogcmudlpadleadotefdsbfeleahaxrsonidtieiprashicdcshipbielslnalhorfrentatoraiemklagretmrdcwsnaynwsvnuldorekutnnoutiiunnhvnieilohltefnaeatuifttacetlnnrbhbeglosnaonmifkoaronsnvnfretrcfthdetpswsucpercwtpoawfhdayisooagoaelndfigngrteb',\n",
-        " 'ltllgfo']"
-       ]
-      }
-     ],
-     "prompt_number": 29
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c6b"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 30,
-       "text": [
-        "'HITHH NFRFE RTEAO FFTNA SLTYO RRREQ THIMS ERULR HFSET AEEIU IWSIH BNRRT SIOII ENIRH MRPYT DTOEI RCITA LNBRP NHTOH ORLIE WTSHT ESPOS OTOYN UWHRE DHHCP ICMNO OTAHA SHTIJ EANET OFRNE USRAG MXURT TOWLE ATBRT EPPTR AAESE NETHH RISNR STSTR NFLDO GHAUM GSESE AKUNT IAHYT TNYUN TNNVH IGWLE WFIAP ASREL FAIEB APCMC PLAHE THTOL HWSUL ADSEU VEAEO TAEUT ATEEF EHLBH TRSHG ATLIA CEEHT RNHGA ASIET UFNNP UREHR ELITT MUDYI NNUEG ICOUE NDEEI AHSUE LHTNO AHTIE AINYF DNIAU OENAT IYEFO HEDAL UAROE RYHUR AERAT ERAHI AONGT WISWS AITBU LTAOM XLETO REOTO TONAO ORTGB CVAIP NLEEW FYRTA EOADU WWETR RTNLR PFPAI ELLRI MNTRO WIEQR ECUAR NDOTA FNROT ELETP ENRPM SHNDD ETDEW HEFOY PEDEN NSNEE GTATE EANES ERTGD LUEOS RBURO WHDGB RPAHE NYTTE KRERT RRHNF NEDOL TSWSI ANIYP OTHMO UOCTY EIEEP ONHKR NNTAI RLTEE IUREM NITAP HOEAO HHNOU UMTKV SENED EEOID PWKIE GTIII OSENH UUFAN BEUIT HRAER HIEEH UAYAS RUSIW GADSI SITRL GFPHI LTWII SIHES URMRO MACEI SOILV DEOEL USAIR IDEOT NFIES OBNTS APOFG SODRT FIRPL TANET RLYIO SOTYO ESSFN TPHEA IGEAO RAIEI TDMTA AEGRH YASRR CFELR TLEEA NEHVE HIVMH NASSI EROIX LMPSJ TTESO FBMRH NDIOC HECNB TTNCO MPUSE SOEHT ENETF IENOO TNWOO TEERI LTOIG DOSME HOIFM LROEF FDTUE SOFLE RWIIY QDBZO TTNRF ANTDI GONTA LAEPD SHEAM NTHLP SNBTU OAHAA LPLEM NPDRS HVNAI AELNH CALIS KACDO AEDTJ GHOIE ADGWA YNDET ENHEG EEUEO EEDNO RYYRF CTEMT TWNTG DETAS UOOOT FWYMI HRGRH OESIN RRAOF RETFE NPOYA ISSES STNHH AYEUL HIWPC TEATU APEAN LUEEL WAHAO ELURE SNBII EASAE TEAGC DCSOR EPSRO ENSEL VOSED UDSIT LTEIT TFSEO ESNLN GINOE RNTEI EIWWL WHTEI RSIIL HTDSR NDESR FHRNT LGRSU ASEDA DOYTA SADUT ENWIT CNAME TERTP OESYT OTOCN YUTSO GCMUD LPADL EADOT EFDSB FELEA HAXRS ONIDT IEIPR ASHIC DCSHI PBIEL SLNAL HORFR ENTAT ORAIE MKLAG RETMR DCWSN AYNWS VNULD OREKU TNNOU TIIUN NHVNI EILOH LTEFN AEATU IFTTA CETLN NRBHB EGLOS NAONM IFKOA RONSN VNFRE TRCFT HDETP SWSUC PERCW TPOAW FHDAY ISOOA GOAEL NDFIG NGRTE BLTLL GFO\\n'"
-       ]
-      }
-     ],
-     "prompt_number": 30
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[i for i in range(len(c6bs)) if c6bs[i] == 'q']"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 42,
-       "text": [
-        "[29, 503, 985]"
-       ]
-      }
-     ],
-     "prompt_number": 42
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join([c[0] for c in every_nth(c6bs, 11)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 32,
-       "text": [
-        "'hithhnfrfer'"
-       ]
-      }
-     ],
-     "prompt_number": 32
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join([c[0] for c in every_nth(c6bs, 13)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 33,
-       "text": [
-        "'hithhnfrferte'"
-       ]
-      }
-     ],
-     "prompt_number": 33
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join([c[0] for c in chunks(c6bs, 121)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 34,
-       "text": [
-        "'hhrnrnumeodti'"
-       ]
-      }
-     ],
-     "prompt_number": 34
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "''.join([c[0] for c in chunks(c6bs, 13)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 35,
-       "text": [
-        "'harrseehthoexttnsneitetghuydoihuouocttiuedeeerrsohiaeefhifsiitiohtreiehseiiszomhhihtdtoeentencsllilrdieodhpbrlakhntnsdwon'"
-       ]
-      }
-     ],
-     "prompt_number": 35
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "'l' in ''.join([c[0] for c in chunks(c6bs, 13)])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 36,
-       "text": [
-        "True"
-       ]
-      }
-     ],
-     "prompt_number": 36
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "every_nth(c6bs, 11)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 38,
-       "text": [
-        "['httmtbnoreohaegaasdetgrmlvtshtenenfiargurredrmcrpwnaegennckehmoinhutioddnrtegmranmmneieseetoetmaaoeoceyiesieaidnseewtrdtttmoaicnagariounanfcfor',\n",
-        " 'ieysaniepwthhtmtenoanwecheehtulueodyratleteupnuomhsnobkeitriotiibisrimeettrsetrnaprbseemfrtnaunecitettmnntwaoecsiorhdnaeeouthesatryeuhirostphat',\n",
-        " 'taoeerrintocaoxbsrgkyllpwaegrfieianeotwtogwwftatsenesrrdyynuekdoeeilsaoosflsaacesshtonrefwntmopldeeeeairpnpneasetentstdnrcdeaihloenknlfbnnhedee',\n",
-        " 'horrerhrhsypsfureshuueflsefanntgahifeeiatbfwprrehfesrpeopenravpsuewgicetaiyfoafhsjnteoihdiranadnoandmshrohcllsollsterlowtnlfxpihrtwuntthmvdralb',\n",
-        " 'hfruitmcthnihrrtntannwaauoethntihtaorrsoocyeaonlnoeebarloiteosweihgfhelnprinreevitdnholotiflthrhadhnturayhtuuarvtneingyipypdrrpoamsthetbinecynl',\n",
-        " 'nfrlusriotuctnteesuttfihlthlgpmcsiuhyawmtvrtiwdedygruhttteamhekntuapeiufopotagleetictttiuyaahascegeotogoaaeereeoelirdrttouassabrirvnvfaefftwidt',\n",
-        " 'fteriipthewmietpttminieeaaliauuoueoehhsxoatreiotdpttrersheinhnihhadhsssiflspirrhreooenofeqnelahadwgrworfiyaeetpsinesesacetdbosifednnnncgkrptsfl',\n",
-        " 'rnqhwoyaoshnjuophrganabtdebaardueaeduialniarletpeeagonrwmprineeurysiuoaegtohehtioscmnwimsdtpplvltaeynohrsetlsesetgiisusnsslfnhermcuoiaeloespoil',\n",
-        " 'fatfsitlrproeswthnshvpahsuhcseyelinaraieapetlqaetdtdwyhsooltodguaailriissateiylviohpeoglobddspnijyeyttoesuuwnardtiwiraaayoeeiilekwlueetoatwoogg',\n",
-        " 'eshsiidnloeoarlrrfeyhaptetteihinhnalaottononrrfndeelhtniuntauetfesstmlroonyataemxfeutodrfzisnlasgnurgfetelaabgoufnwlfsdmtgaldcsnlsdtialsrrsaanf',\n",
-        " 'rliehetbisdtnaeailstiscouareerndtytuenboolalienreneudtfaohepueiarriwrvibdeoidsehlbcsftoologhbeikhdefdwsfshphicedsolhheueocdetdltanoiltnnocuwggo']"
-       ]
-      }
-     ],
-     "prompt_number": 38
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "every_nth(c6bs, 143)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 64,
-       "text": [
-        "['hetuehroera',\n",
-        " 'iteloirnnny',\n",
-        " 'toetsectptn',\n",
-        " 'hffarefaolw',\n",
-        " 'hreobhelygs',\n",
-        " 'nnhmuulaarv',\n",
-        " 'felxrareisn',\n",
-        " 'rubloytpsuu',\n",
-        " 'fshewaldsal',\n",
-        " 'ertthsesesd',\n",
-        " 'rarodrehseo',\n",
-        " 'tgsrguaesdr',\n",
-        " 'emhebsnatae',\n",
-        " 'axgoriemndk',\n",
-        " 'ouatpwhnhou',\n",
-        " 'frtoagvthyt',\n",
-        " 'ftlthaehatn',\n",
-        " 'ttioedhlyan',\n",
-        " 'noannsipeso',\n",
-        " 'awcayivsuau',\n",
-        " 'sleotsmnldt',\n",
-        " 'leeotihbhui',\n",
-        " 'tahretntiti',\n",
-        " 'ytttkrauweu',\n",
-        " 'obrgrlsopnn',\n",
-        " 'rrnbegsacwn',\n",
-        " 'rthcrfihtih',\n",
-        " 'regvtpeaetv',\n",
-        " 'epaarhraacn',\n",
-        " 'qpairioltni',\n",
-        " 'ttsphlipuae',\n",
-        " 'hrinntxlami',\n",
-        " 'iaelfwlepel',\n",
-        " 'matenimmeto',\n",
-        " 'seueeipnaeh',\n",
-        " 'esfwdsspnrl',\n",
-        " 'renfoijdltt',\n",
-        " 'unnylhtrupe',\n",
-        " 'leprtetseof',\n",
-        " 'rtutsseheen',\n",
-        " 'hhrawusvlsa',\n",
-        " 'fheesronwye',\n",
-        " 'srhoimfaata',\n",
-        " 'eiraarbihot',\n",
-        " 'tsednomaatu',\n",
-        " 'anluimreooi',\n",
-        " 'eriwyahlecf',\n",
-        " 'estwpcnnlnt',\n",
-        " 'itteoedhuyt',\n",
-        " 'usmttiicrua',\n",
-        " 'iturhsoaetc',\n",
-        " 'wrdrmoclsse',\n",
-        " 'snytoihinot',\n",
-        " 'ifinulesbgl',\n",
-        " 'hlnlovckicn',\n",
-        " 'bdnrcdnaimn',\n",
-        " 'nouptebceur',\n",
-        " 'rgefyotdadb',\n",
-        " 'rhgpeetoslh',\n",
-        " 'taiailnaapb',\n",
-        " 'sucieuceeae',\n",
-        " 'imoeesodtdg',\n",
-        " 'ogulpamtell',\n",
-        " 'iseloipjaeo',\n",
-        " 'ienrnruggas',\n",
-        " 'esdihishcdn',\n",
-        " 'neemkdeodoa',\n",
-        " 'iaenresicto',\n",
-        " 'rkitnooesen',\n",
-        " 'huarnteaofm',\n",
-        " 'mnhotnhdrdi',\n",
-        " 'rtswaftgesf',\n",
-        " 'piuiiiewpbk',\n",
-        " 'yaeerenasfo',\n",
-        " 'thlqlseyrea',\n",
-        " 'dyhrtotnolr',\n",
-        " 'ttteebfdeeo',\n",
-        " 'otncenienan',\n",
-        " 'enouitetshs',\n",
-        " 'iyaausneean',\n",
-        " 'ruhrraonlxv',\n",
-        " 'cntnepohvrn',\n",
-        " 'itidmoteosf',\n",
-        " 'tneonfngsor',\n",
-        " 'anatigweene',\n",
-        " 'lviatsoedit',\n",
-        " 'nhnfaoouudr',\n",
-        " 'biynpdtedtc',\n",
-        " 'rgfrhreosif',\n",
-        " 'pwdooteeiet',\n",
-        " 'nlntefretih',\n",
-        " 'heieaiidlpd',\n",
-        " 'twalorlntre',\n",
-        " 'ofuehptoeat',\n",
-        " 'hiothlorisp',\n",
-        " 'oaepntiyths',\n",
-        " 'rpneoagytiw',\n",
-        " 'laanundrfcs',\n",
-        " 'istrueofsdu',\n",
-        " 'eripmtscecc',\n",
-        " 'weymtrmtosp',\n",
-        " 'tleskleeehe',\n",
-        " 'sffhvyhmsir',\n",
-        " 'haonsiotnpc',\n",
-        " 'tihdeoitlbw',\n",
-        " 'eeednsfwnit',\n",
-        " 'sbdeeomngep',\n",
-        " 'paatdtltilo',\n",
-        " 'opldeyrgnsa',\n",
-        " 'scueeoodolw',\n",
-        " 'omawoeeeenf',\n",
-        " 'tcrhisftrah',\n",
-        " 'opoedsfanld',\n",
-        " 'ylefpfdstha',\n",
-        " 'narowntueoy',\n",
-        " 'uhyyktuoiri',\n",
-        " 'wehpipeoefs',\n",
-        " 'htueehsoiro',\n",
-        " 'rhrdgeotweo',\n",
-        " 'etaetaffwna',\n",
-        " 'doeniilwltg',\n",
-        " 'hlrnigeywao',\n",
-        " 'hhasiermhta',\n",
-        " 'cwtnoawitoe',\n",
-        " 'pseesoiherl',\n",
-        " 'iureeririan',\n",
-        " 'clagnaygrid',\n",
-        " 'mahthiqrsef',\n",
-        " 'ndiauedhimi',\n",
-        " 'osatuiboikg',\n",
-        " 'oeoeftzelln',\n",
-        " 'tuneadoshag',\n",
-        " 'avganmtitgr',\n",
-        " 'hetnbttndrt',\n",
-        " 'aaweeanrsee',\n",
-        " 'seisuarrrtb',\n",
-        " 'hoseiefanml',\n",
-        " 'ttwrtgaodrt',\n",
-        " 'iasthrnfedl',\n",
-        " 'jeagrhtrscl',\n",
-        " 'euidayderwg',\n",
-        " 'attleaitfsf',\n",
-        " 'nabursgfhno']"
-       ]
-      }
-     ],
-     "prompt_number": 64
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[(q, u) for q in [i for i in range(len(c6bs)) if c6bs[i] == 'q'] for u in [i for i in range(len(c6bs)) if c6bs[i] == 'u'] if abs(q-u) < 13]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 44,
-       "text": [
-        "[(29, 37), (503, 507), (985, 973)]"
-       ]
-      }
-     ],
-     "prompt_number": 44
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "every_nth(c6bs, 13)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 54,
-       "text": [
-        "['harrseehthoexttnsneitetghuydoihuouocttiuedeeerrsohiaeefhifsiitiohtreiehseiiszomhhihtdtoeentencsllilrdieodhpbrlakhntnsdwon',\n",
-        " 'iorhiniterttuehfeywehueagrieaaernltvanmalddeoptwukuongaiwpuldsrsedrheseenlfoonnavsoenwtsnhelbdetnwhnotsgoarieayuvalanetog',\n",
-        " 'tfefhiroseaorphlaufbtvetaenehudagtoaelnreeeasarsorrhetneghrveapoamcvrocsotmftttankinonfiphawiclegwttycyctxaengntnenovtpar',\n",
-        " 'hfqsbrchpdhftprdkniaoeflahnitoaetatiortnttnnrhricnehdibeaimdopltitfeofnooolltahlaaehrtwnoataisviildltntmersltrwniannnpogt',\n",
-        " 'httenhiooharttioutaplaeisruaielrwoopaprdpdnebehatnmneiehdlretotygaehibbetirenllpicaeygyryyuheootnwsgaaoufshsaesnetrmfsaoe',\n",
-        " 'nnhtrmtrshsnorsgnnpchehaieehenuaimnndfooeessunnnytnoeiuustoonfaoealixmthngorrapladdgydmraeaaarstohrrsmtddoilttvoiubirwwab',\n",
-        " 'faiarralochewanhtnamwolcelgsaaatsxalupwtnwneryfieaiuooiaiwmefgneaervlrttwdewfeseeogereiaiuposeefetnsaeolsncnomnulihfesfel',\n",
-        " 'rsmetplitptularaivscstbetiiuitrewloewaiarherotnyiituistysialisesogtmmhneoofiapnmlawefthosleeapdsredudtcpbidarrutofbktuhlt',\n",
-        " 'flsesyneoiiseesuahrpuaheutceniorseoewiefpeetwteperamdehaiicueotsrrlhpncnosfindbnneaucarfshalesuenieauenafdcladlihteorcdnl',\n",
-        " 'eteiitbwycjrastmhiellethftolyyeaatrweeqnmfgghedoelptpnrstsessdrfahensdoetmdytstphdyetsgreinutrdotrsstrydetshicdiltgacpadl',\n",
-        " 'ryruodrtnmeatesgyglaaurtnmuhferhiotftlrrsotddkotpthkwharriiaorlniyeajimteetqdhudctnoeureswlreoseesreetullihoewoutalrfeyfg',\n",
-        " 'touiitpsunagbntstwfhdtsrnuetdfyitrgyrleohyalgrlhoeovkueulhsibtyteaastopfehudieorajdemohtspueaeisiifdnpteeeirmsrnecootriif',\n",
-        " 'erlwionhwonmreretlaesahnpdnnnohabebrrrctnptubetmneesiursgeornfipisnstcuiroebgaaslgeetooftcesgntneihawosaaipfknenfesnhcsgo']"
-       ]
-      }
-     ],
-     "prompt_number": 54
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "[''.join(transpose(l, (3, 11, 0, 1, 2, 4, 5, 6,7, 8, 9, 10, 12))) for l in chunks(c6bs, 13)]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 61,
-       "text": [
-        "['hthithnfrfere',\n",
-        " 'foaoftnasltyr',\n",
-        " 'qurrethimserl',\n",
-        " 'sirhfetaeeiuw',\n",
-        " 'bisihnrrtsioi',\n",
-        " 'rtenihmrpytdo',\n",
-        " 'cpeiritalnbrn',\n",
-        " 'hshtoorliewth',\n",
-        " 'putesosotoynw',\n",
-        " 'dnhrehhcpicmo',\n",
-        " 'haotaashtijen',\n",
-        " 'fgetorneusram',\n",
-        " 'tbxurtowleatr',\n",
-        " 'pnteptraaesee',\n",
-        " 'rtthhisnrstsr',\n",
-        " 'dsnfloghaumge',\n",
-        " 'ktseauntiahyt',\n",
-        " 'nwnyutnnvhigl',\n",
-        " 'ifewfapasrela',\n",
-        " 'ahiebpcmcplae',\n",
-        " 'odthtlhwsulas',\n",
-        " 'eteuvaeotaeua',\n",
-        " 'fsteeehlbhtrh',\n",
-        " 'lrgatiaceehtn',\n",
-        " 'anhgasietufnp',\n",
-        " 'huurerelittmd',\n",
-        " 'neyinuegicoun',\n",
-        " 'itdeeahsuelhn',\n",
-        " 'tdoahieainyfn',\n",
-        " 'ofiauenatiyeo',\n",
-        " 'ayhedluaroerh',\n",
-        " 'eiurarateraha',\n",
-        " 'ttongwiswsaib',\n",
-        " 'arultomxletoe',\n",
-        " 'tgotoonaoortb',\n",
-        " 'iycvapnleewfr',\n",
-        " 'ortaeaduwwetr',\n",
-        " 'rltnlpfpaielr',\n",
-        " 'teimnrowieqrc',\n",
-        " 'nouardotafnrt',\n",
-        " 'thelepenrpmsn',\n",
-        " 'tyddedewhefop',\n",
-        " 'naedensneegtt',\n",
-        " 'nleeaesertgdu',\n",
-        " 'rgeosburowhdb',\n",
-        " 'hrrpaenytteke',\n",
-        " 'rlrtrhnfnedot',\n",
-        " 'ihswsaniypotm',\n",
-        " 'coouotyeieepn',\n",
-        " 'nehkrntairlte',\n",
-        " 'eoiurmnitaphe',\n",
-        " 'hvaohnouumtks',\n",
-        " 'dkeneeeoidpwi',\n",
-        " 'iuegtiiosenhu',\n",
-        " 'befaneuithrar',\n",
-        " 'euhiehuayasrs',\n",
-        " 'aliwgdsisitrg',\n",
-        " 'ihfphltwiisie',\n",
-        " 'mssurromaceio',\n",
-        " 'diilveoelusar',\n",
-        " 'obidetnfieson',\n",
-        " 'pttsaofgsodrf',\n",
-        " 'lyirptanetrli',\n",
-        " 'ttosoyoessfnp',\n",
-        " 'ieheageaoraii',\n",
-        " 'tatdmaaegrhys',\n",
-        " 'farrcelrtleen',\n",
-        " 'esehvhivmhnas',\n",
-        " 'otierixlmpsjt',\n",
-        " 'foesobmrhndic',\n",
-        " 'nphecbttncomu',\n",
-        " 'ofsesehteneti',\n",
-        " 'oeenotnwooter',\n",
-        " 'ohiltigdosmeo',\n",
-        " 'luifmroeffdte',\n",
-        " 'ldsoferwiiyqb',\n",
-        " 'tizotnrfantdg',\n",
-        " 'aeontlaepdsha',\n",
-        " 'homntlpsnbtua',\n",
-        " 'lrhaaplemnpds',\n",
-        " 'aahvniaelnhcl',\n",
-        " 'ajiskcdoaedtg',\n",
-        " 'edhoiadgwayne',\n",
-        " 'hetenegeeueoe',\n",
-        " 'rmdnoyyrfctet',\n",
-        " 'totwngdetasuo',\n",
-        " 'whotfymihrgro',\n",
-        " 'ntesirraofref',\n",
-        " 'osenpyaissest',\n",
-        " 'apnhhyeulhiwc',\n",
-        " 'tuteauapeanle',\n",
-        " 'aeelwhaoelurs',\n",
-        " 'ianbieasaeteg',\n",
-        " 'secdcorepsron',\n",
-        " 'viselosedudst',\n",
-        " 'isltettfseoen',\n",
-        " 'iilngnoerntee',\n",
-        " 'liiwwwhteirsi',\n",
-        " 'dflhtsrndesrh',\n",
-        " 'ldrntgrsuasea',\n",
-        " 'tndoyasadutew',\n",
-        " 'npitcameterto',\n",
-        " 'ttesyotocnyus',\n",
-        " 'meogcudlpadla',\n",
-        " 'eedotfdsbfela',\n",
-        " 'rehaxsonidtii',\n",
-        " 'siprahicdcshp',\n",
-        " 'lrbieslnalhof',\n",
-        " 'tmrenatoraiek',\n",
-        " 'rslagetmrdcwn',\n",
-        " 'wraynsvnuldoe',\n",
-        " 'nnkutnoutiiun',\n",
-        " 'iehvneilohltf',\n",
-        " 'acnaetuifttae',\n",
-        " 'notlnrbhbegls',\n",
-        " 'nonaomifkoarn',\n",
-        " 'ntsnvfretrcfh',\n",
-        " 'prdetswsucpec',\n",
-        " 'oiwtpawfhdays',\n",
-        " 'giooaoaelndfg',\n",
-        " 'tfngrebltllgo']"
-       ]
-      }
-     ],
-     "prompt_number": 61
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    }
-   ],
-   "metadata": {}
-  }
- ]
-}
\ No newline at end of file
diff --git a/challenge7.ipynb b/challenge7.ipynb
deleted file mode 100644 (file)
index d7d18f4..0000000
+++ /dev/null
@@ -1,321 +0,0 @@
-{
- "metadata": {
-  "name": ""
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "from cipherbreak import *\n",
-      "with open('2013/mona-lisa-words.txt') as f:\n",
-      "    mlwords = [line.rstrip() for line in f]\n",
-      "mltrans = collections.defaultdict(list)\n",
-      "for word in mlwords:\n",
-      "    mltrans[transpositions_of(word)] += [word]\n",
-      "c7a = open('2013/7a.ciphertext').read()\n",
-      "c7b = open('2013/7b.ciphertext').read()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c1a = open('2013/1a.ciphertext').read()\n",
-      "c1b = open('2013/1b.ciphertext').read()\n",
-      "c2a = open('2013/2a.ciphertext').read()\n",
-      "c2b = open('2013/2b.ciphertext').read()\n",
-      "c3a = open('2013/3a.ciphertext').read()\n",
-      "c3b = open('2013/3b.ciphertext').read()\n",
-      "c4a = open('2013/4a.ciphertext').read()\n",
-      "c4b = open('2013/4b.ciphertext').read()\n",
-      "c5a = open('2013/5a.ciphertext').read()\n",
-      "c5b = open('2013/5b.ciphertext').read()\n",
-      "\n",
-      "p1a = caesar_decipher(c1a, 8)\n",
-      "p1b = caesar_decipher(c1b, 14)\n",
-      "p2a = affine_decipher(c2a, 3, 3, True)\n",
-      "p2b = caesar_decipher(c2b, 6)\n",
-      "p3a = affine_decipher(c3a, 7, 8, True)\n",
-      "p3b = keyword_decipher(c3b, 'louvigny', 2)\n",
-      "p4a = keyword_decipher(c4a, 'montal', 2)\n",
-      "p4b = keyword_decipher(c4b, 'salvation', 2)\n",
-      "p5a = keyword_decipher(c5a, 'alfredo', 2)\n",
-      "p5b = vigenere_decipher(sanitise(c5b), 'florence')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(frequencies(sanitise(c7a)))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stderr",
-       "text": [
-        "/usr/local/lib/python3.3/dist-packages/matplotlib/figure.py:372: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
-        "  \"matplotlib is currently using a non-GUI backend, \"\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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vvs0fvx4paamyuFw+O3J4XDoyJEjSktLk91u91lXWFioxYsXa+LEiTrnnHN0zjnn+Az2FStW6Oyz\nz9a1116rzs5OTZo0SR6PR06n02fPl1xyiRITE7t9/h5//HEdPHhQF198sSTpwgsv1FNPPeV3mr6E\nD+oi7I4ePaqBAweqra1NU6ZM0dNPP628vLxe6eXzzz/v1WNbva22tlbTp0/Xrl27gp520aJFGjRo\nkO64444IdBa7Ojs7NW7cOK1evVrnn39+b7djNHbxIexuueUW5efna9y4cbr66qt7LZwOHDigSZMm\n6a677uqV5ZuiJ7vpomH3bDSpqalRRkaGpk6dSjgFgBEUAMBIjKAAAEYioAAARiKgAABGIqAAAEYi\noAAARiKgAABG+j/og6x5jaDpPwAAAABJRU5ErkJggg==\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xb55607cc>"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c7af = frequencies(sanitise(c7a))\n",
-      "plot_frequency_histogram(c7af, sort_key=lambda l: c7af[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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F/Q/1dXVmj59unbt2tXXrUQ0NvEZwvRNfKF04MABTZo0SXfffXdQxquqqlJaWpqmTp3arXCSpFtv\nvVW5ubkaN26crrnmGsIJEf07aQpmUAAAIzGDAgAYiYACABiJgAIAGImAAgAYiYACABiJgAIAGOn/\nARTQq3riH9t+AAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xaeb102cc>"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(normalised_english_counts, sort_key=lambda l: normalised_english_counts[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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1Gn77YYbbtDf/vY3HT58WJJa/g3mlltuUVlZmXbt2qWcnJw268aPH69ly5ZpwoQJGj9+vF5++WWN\nHDmyU/o7cOBAff755zp8+LAaGxu1cePGTmm3K4/Nzz77TL1799bs2bP14IMPavfu3Z3Sblepr69X\n37591bt3b+3bt6/lGA1m/PjxWr9+vU6cOKFjx45p/fr1jsd8nz591NDQELIPEydO1Lp16/TFF19I\nOn1cfvrpp+3fGIsxwuoiL7zwgr766itdf/31kqTMzEytWrXqjLr09HTdfvvt8nq9uvLKK5WZmRn2\nX/ehXjzWrFmjSy65RLm5uTp16pTGjh0rn8+n7OzsNtu77LLLtHHjRv30pz9Vnz59dPPNNwetTUlJ\n0dGjR+XxeDRw4EDHPiYmJuqFF17Q/PnzNWzYMC1YsKDN+nBrMzIyNG3aNI0YMUIDBw5UamqqLr/8\n8rZ3hsK/yy0lJUWPPfaYJkyYoIsuukgjR47UH/7wh6C1kZGRuuGGG9S3b1/H9sePH6+nnnpKY8aM\n0aWXXqpLL720zRexH7fzw/lgzxEZGaknnnhCo0ePltvtVkpKSshtDWdf/PjYDOdUX7j7+P3339dD\nDz3UMoIMdVu30z45m9pwlkvSpEmT9PLLLyslJUWJiYktp62DSU9P189//vOW/XXPPffI6/W2Wd+/\nf3+NGzdOqampmjJlSpvfHZicnKwnn3xSP/vZz3Tq1ClFRkbqxRdf1NVXXx2y/xcK3jh8nlm6dKmi\no6O1ePFix7ovv/yyU8/Pnw+qq6s1depUvf/++2HVHzt2TFFRUTp+/LgmTJigV155RWlpaV3cy9ZO\nnTqlUaNGad26dRo6dOg5fW6gp+GU4Hko1F98Bw8e1NixY/XQQw+dox6dO+055XTvvfcqPT1do0aN\n0syZM895WFVWViohIUE33ngjYQWcA4ywAABWYIQFALACgQUAsAKBBQCwAoEFALACgQUAsAKBBQCw\nwv8DbMnA/BWkp54AAAAASUVORK5CYII=\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xaeae5cec>"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c7bf = frequencies(sanitise(c7b))\n",
-      "plot_frequency_histogram(c7bf, sort_key=lambda l: c7bf[l])"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0xaeb95f8c>"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(c7bf)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEkCAYAAAB6wKVjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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-       "text": [
-        "<matplotlib.figure.Figure at 0xaeaa372c>"
-       ]
-      }
-     ],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plot_frequency_histogram(normalised_english_counts)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEkCAYAAABzKwUZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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4cOaO3eu4/hee+01+f3+i/acHjOsTlJbW6vevXurZ8+e2rdvn3bu3OlY/9lnnzXVvPHGG63+5nbj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\nEFgAACsQWAAAKxBYAAArEFgAACv8P5ZWvQDqsWNNAAAAAElFTkSuQmCC\n",
-       "text": [
-        "<matplotlib.figure.Figure at 0xaeb47b6c>"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "c7a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
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-     "input": [
-      "vigenere_frequency_break(sanitise(c7a))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 12,
-       "text": [
-        "('hp', 0.03214089578198264)"
-       ]
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-    },
-    {
-     "cell_type": "code",
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-     "input": [
-      "' '.join(segment(vigenere_decipher(sanitise(c7a), 'hp')))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 15,
-       "text": [
-        "'phil thanks for the guard schedules at the museum i went in on friday and laid low until after closing time as planned the crate was delivered to their yard on friday afternoon too late for anyone to process it and the board was easy to detach from the base excellent idea to make the painting look like part of the box by the way no one was going to turn it over to look if they didnt know it was there and they were pretty unlikely to be looking for someone to smuggle a painting in anyway access to the gallery was straightforward and it took around twenty minutes to switch the copy with the original i hid the painting among a bunch of reproductions in the museum shop and camped out for the night in the guards bathroom turns out they prefer to use the directors facilities upon the top floor with the new exhibition opening on saturday the place was busy enough to slip out first thing and as arranged i made sure i was first into the shop i now have the honour of having bought the cheapest ever work by davinci or not the xray results came back this morning and as you suspected this is one of saras fake siam told it is close to perfect but hidden under the layers of paint she scribbled a picture of the nazi eagle emblem in leads he signed its too the tech guys think she may have used abit of old pipe like a crayon to deface the board before she started work on it anyway that leaves the question of where the hell the real painting might be its hard to believe that she left it with the ss and icant see her going on the run with it stuck under her coat its not like she could roll it up i worked through some more of the nazi papers and found this note atleast it tells us where she went looks like the cipher clerk was back by the way i have moved on to venice to try to find any trace of sara there but i have a feeling the solution to this mystery is back in paris where it all began i left the painting at the paris office maybe you could arrange to return it it should be easier to get it in than it was to extract it all the best harry'"
-       ]
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-     "prompt_number": 15
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "vigenere_frequency_break(sanitise(c7b))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 16,
-       "text": [
-        "('aattuualptaaauaaaa', 0.10312795085805967)"
-       ]
-      }
-     ],
-     "prompt_number": 16
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "' '.join(segment(vigenere_decipher(sanitise(c7b),'aattuualptaaauaaaa' )))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 17,
-       "text": [
-        "'ttmaqoehqveytelettkf vfantitlnhhttprnmews qrfwquefetnntmmohpun kit a murvsoegeomjsemwelpo yotkcoytmamvgijtrhtk pcrnydlmautreryrciti man rtxrnmzeatctythrycyb obmmisfdefehefyfnvws note neetztxkrqcavlennemh tmeemnnfvulnntneyfrt a ohtmohynxzxnzontunrg hubfooznoirdgkiztyqh eodatncnenpgyccwfmai masxprjmmtoktyiheouf jnteemaetxhkyutyaatk ausmmfuccthuyotxmltn tythhtootmnrnusztdsm mkoiyftfhharuianbwha eixyetfoatnboksfiheu ywcrthbfulmrsaetmlpu ymhtryamodjafttteaff ttnwmqtfzwbhntypttmt are dldnrkyhsacctyerfamm tgomtxzumtmtmtanskid jfpoxhothtoaixvidebb ooeryykftffteelratyh qyurtemtvgeutvsfrheo tcmhyalioyuemnefknco trqiitaonfouaywtmmoo that eu uhpyhnzxttontfaaxnsn of lioptnrtovvxzdiepexy not etielahfcariewfhwwh yiwlvmuudehtbbfvvawi ytkbozvrifacjsiwaagb let now oalfdorpballhktfqtku at hvnxwllfmodtqsluhycv lhiyytejglmrzfdemded dweicjqisrnvlmhudewl kb dgcmklhyhkjalxdosdtq in lfs gewambhlohuwejeltww tbjgeudeucklmxatceud same rpfmjtqmorshwzndcgkm zhieuzasrsoekzgbtbqh rktiwgcavlneuqrzhibj leljrlayqybgewqgrkth wlpiyshwfsillxicblls ebwhcyfkrvmhiomkotdo iwmfahyniseiszwfshlt cxrmaotikmnuachvqdov mmatibzhfoadvloawzke nqrcnrgbxrwfdkctsxxa iejzlnerryfidtbwhxbd hluhtfswwnclgdtwwdvk lhazobmargsgwwtopasg men rl on york rodr keewdeelujkdlellythc wexcfrqxagrdiyunehkn ikfruurtslqbdjrcvujp kxghfbldgmistthujsot bids iwcdsiajaqmanpigbcp zoxlurhnlgrtfifiguor gsm mntfcwavanbilwysatnl mvpnafbhzhwxnrzirhra'"
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-     "input": [
-      "len(sanitise(c7b))"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 18,
-       "text": [
-        "1304"
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-     ],
-     "prompt_number": 18
-    },
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-     "input": [],
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-     "metadata": {},
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-  }
- ]
-}
\ No newline at end of file