X-Git-Url: https://git.njae.me.uk/?a=blobdiff_plain;f=2014-challenge8.ipynb;h=e30823ed13b037f1949af1a3af57a2a7ee88d102;hb=4015126014c197871c657e7f746234f87c5f8e59;hp=5b5d5dc19aa6a527e12022bc628c8d346dec109e;hpb=8eb6246a9b4f99e6b3cd68047e6cef21289417ec;p=cipher-tools.git diff --git a/2014-challenge8.ipynb b/2014-challenge8.ipynb index 5b5d5dc..e30823e 100644 --- a/2014-challenge8.ipynb +++ b/2014-challenge8.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:e375a3faf5213c9f51d99f7c22948b1a55e592a6d8b6156a30b0fb490ea337a1" + "signature": "sha256:8cfa7fab1d8d3830f8cdd550122b0b7f10258d8adb3ff205bd1feeca64418741" }, "nbformat": 3, "nbformat_minor": 0, @@ -26,7 +26,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 9 + "prompt_number": 1 }, { "cell_type": "code", @@ -43,7 +43,7 @@ "output_type": "pyout", "prompt_number": 2, "text": [ - "" + "" ] }, { @@ -51,7 +51,7 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD+CAYAAAA+hqL9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ - "" + "" ] } ], @@ -72,7 +72,7 @@ "output_type": "pyout", "prompt_number": 3, "text": [ - "" + "" ] }, { @@ -80,7 +80,7 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAAD+CAYAAAAeRj9FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEIIIYQQQgghhBBCCCGEEEIIIQLk/wFJCFVD/Yn0OQAAAABJRU5ErkJggg==\n", "text": [ - "" + "" ] } ], @@ -160,19 +160,19 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 12, + "prompt_number": 7, "text": [ "875.0" ] } ], - "prompt_number": 12 + "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ - "[c for c in chunks(c8b, 8)]" + "[c for c in chunks(c8b, 5)]" ], "language": "python", "metadata": {}, @@ -180,893 +180,1019 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 21, + "prompt_number": 8, "text": [ - "['00000001',\n", - " '01000100',\n", - " '00000010',\n", - " '01010001',\n", - " '11010011',\n", - " '10011000',\n", - " '00000101',\n", - " '00110011',\n", - " '11000101',\n", - " '00001110',\n", - " '01011001',\n", - " '00100110',\n", - " '00101001',\n", - " '00010010',\n", - " '00110011',\n", - " '00111100',\n", - " '10001111',\n", - " '00111000',\n", - " '10000000',\n", - " '11101010',\n", - " '11000011',\n", - " '10100010',\n", - " '11110010',\n", - " '11000100',\n", - " '11000100',\n", - " '01110000',\n", - " '00000110',\n", - " '11110111',\n", - " '10100101',\n", - " '10100110',\n", - " '01011100',\n", - " '11001001',\n", - " '00010110',\n", - " '10010000',\n", - " '10100100',\n", - " '01110001',\n", - " '01010000',\n", - " '11101000',\n", - " '11001110',\n", - " '01000011',\n", - " '00011011',\n", - " '10001000',\n", - " '01001010',\n", - " '00110010',\n", - " '01000010',\n", - " '10001101',\n", - " '00001001',\n", - " '00010110',\n", - " '10010100',\n", - " '10010011',\n", - " '01011000',\n", - " '00000000',\n", - " '01011001',\n", - " '01001110',\n", - " '11001000',\n", - " '00100011',\n", - " '01100111',\n", - " '00011010',\n", - " '10111001',\n", - " '11001101',\n", - " '00100100',\n", - " '01001111',\n", - " '01000000',\n", - " '00011110',\n", - " '00100000',\n", - " '10101001',\n", - " '00100010',\n", - " '01000010',\n", - " '01001110',\n", - " '01010101',\n", - " '10010010',\n", - " '00001000',\n", - " '10110011',\n", - " '10101101',\n", - " '11010010',\n", - " '10011000',\n", - " '11011100',\n", - " '00000101',\n", - " '10111011',\n", - " '00000000',\n", - " '00100100',\n", - " '10011000',\n", - " '11010110',\n", - " '10001101',\n", - " '00000110',\n", - " '01101011',\n", - " '01100010',\n", - " '01110111',\n", - " '00011100',\n", - " '11110011',\n", - " '10010011',\n", - " '01000000',\n", - " '11100100',\n", - " '00101101',\n", - " '10100010',\n", - " '01101100',\n", - " '10100100',\n", - " '10000001',\n", - " '01000100',\n", - " '10000000',\n", - " '01101011',\n", - " '01001000',\n", - " '01000100',\n", - " '00100001',\n", - " '00000100',\n", - " '10001101',\n", - " '10100110',\n", - " '00000110',\n", - " '10010010',\n", - " '01010001',\n", - " '10101011',\n", - " '10001100',\n", - " '10000010',\n", - " '00100011',\n", - " '00010110',\n", - " '10010100',\n", - " '10000110',\n", - " '01100111',\n", - " '11010101',\n", - " '11001000',\n", - " '00000010',\n", - " '00100100',\n", - " '00000111',\n", - " '00000000',\n", - " '10001110',\n", - " '00000001',\n", - " '00000111',\n", - " '00010110',\n", - " '10100010',\n", - " '01110001',\n", - " '01101101',\n", - " '11001000',\n", - " '10000011',\n", - " '01000101',\n", - " '11110010',\n", - " '10010001',\n", - " '11000000',\n", - " '00110011',\n", - " '10001110',\n", - " '01101110',\n", - " '01000011',\n", - " '11000000',\n", - " '00001001',\n", - " '10010010',\n", - " '11100100',\n", - " '01101011',\n", - " '01001001',\n", - " '00100000',\n", - " '00011010',\n", - " '00101110',\n", - " '00001100',\n", - " '11010110',\n", - " '01001001',\n", - " '01000101',\n", - " '10110001',\n", - " '01110010',\n", - " '00100011',\n", - " '10000111',\n", - " '10000100',\n", - " '11000100',\n", - " '00011000',\n", - " '10010110',\n", - " '10110100',\n", - " '01011000',\n", - " '00001011',\n", - " '00000010',\n", - " '11001000',\n", - " '01000110',\n", - " '10100000',\n", - " '11010001',\n", - " '10001011',\n", - " '01101101',\n", - " '10001000',\n", - " '10101101',\n", - " '00001100',\n", - " '01011011',\n", - " '11100101',\n", - " '00110111',\n", - " '00101100',\n", - " '10000101',\n", - " '10011100',\n", - " '01000110',\n", - " '11001010',\n", - " '00000010',\n", - " '00101000',\n", - " '00100001',\n", - " '00001000',\n", - " '10000100',\n", - " '00000001',\n", - " '11001011',\n", - " '01101001',\n", - " '00101101',\n", - " '00100000',\n", - " '00111000',\n", - " '11110001',\n", - " '10011010',\n", - " '11100101',\n", - " '00110111',\n", - " '00000100',\n", - " '10010011',\n", - " '01101100',\n", - " '10010111',\n", - " '01010010',\n", - " '10100010',\n", - " '10100011',\n", - " '01110101',\n", - " '01100110',\n", - " '11110111',\n", - " '00000000',\n", - " '10000100',\n", - " '01000100',\n", - " '10000100',\n", - " '10000111',\n", - " '00011101',\n", - " '00001111',\n", - " '10010001',\n", - " '00101010',\n", - " '01000010',\n", - " '00001110',\n", - " '01100100',\n", - " '10110001',\n", - " '01000001',\n", - " '00010110',\n", - " '10011100',\n", - " '10000001',\n", - " '01011001',\n", - " '00000000',\n", - " '11101001',\n", - " '10111000',\n", - " '11110011',\n", - " '10011100',\n", - " '11001000',\n", - " '11110110',\n", - " '10001001',\n", - " '01000000',\n", - " '01110011',\n", - " '01001111',\n", - " '01100010',\n", - " '01001101',\n", - " '10010101',\n", - " '11000011',\n", - " '11100011',\n", - " '00010010',\n", - " '00111001',\n", - " '10101101',\n", - " '00000100',\n", - " '10001100',\n", - " '00110010',\n", - " '00001101',\n", - " '11000100',\n", - " '00100001',\n", - " '00011100',\n", - " '00000000',\n", - " '00110010',\n", - " '01100010',\n", - " '01000000',\n", - " '10100111',\n", - " '00110100',\n", - " '00010101',\n", - " '10100000',\n", - " '00011100',\n", - " '01001001',\n", - " '00101000',\n", - " '11001110',\n", - " '01000100',\n", - " '10001011',\n", - " '10100100',\n", - " '01001001',\n", - " '11000100',\n", - " '11100010',\n", - " '01000000',\n", - " '10100110',\n", - " '11111001',\n", - " '00000000',\n", - " '00000100',\n", - " '00111010',\n", - " '11000110',\n", - " '01111001',\n", - " '00010110',\n", - " '11110010',\n", - " '01110000',\n", - " '00011101',\n", - " '00110001',\n", - " '01001100',\n", - " '00100001',\n", - " '10010011',\n", - " '10001000',\n", - " '10001000',\n", - " '10110110',\n", - " '01000000',\n", - " '00011010',\n", - " '11110001',\n", - " '00111000',\n", - " '11000110',\n", - " '10001101',\n", - " '10001000',\n", - " '10001000',\n", - " '11111001',\n", - " '11001100',\n", - " '11110001',\n", - " '00100101',\n", - " '00001110',\n", - " '11010101',\n", - " '01001100',\n", - " '00000010',\n", - " '00100000',\n", - " '10001000',\n", - " '01000101',\n", - " '11000110',\n", - " '11001101',\n", - " '01000100',\n", - " '01001000',\n", - " '01000010',\n", - " '00000000',\n", - " '10010010',\n", - " '00100001',\n", - " '00001000',\n", - " '10000001',\n", - " '10100010',\n", - " '01001110',\n", - " '00110000',\n", - " '10001000',\n", - " '11100110',\n", - " '00110110',\n", - " '00110011',\n", - " '00100010',\n", - " '01001110',\n", - " '00000011',\n", - " '00000000',\n", - " '00110010',\n", - " '00100011',\n", - " '01010001',\n", - " '00110101',\n", - " '11011010',\n", - " '01110001',\n", - " '01101000',\n", - " '01011000',\n", - " '10000010',\n", - " '00101110',\n", - " '01000000',\n", - " '10001001',\n", - " '00100110',\n", - " '01001001',\n", - " '01000101',\n", - " '10100110',\n", - " '10010011',\n", - " '01001110',\n", - " '01000000',\n", - " '10100001',\n", - " '11010010',\n", - " '00011010',\n", - " '00001000',\n", - " '11010000',\n", - " '00010101',\n", - " '01100100',\n", - " '01000100',\n", - " '10000000',\n", - " '01110111',\n", - " '00001001',\n", - " '00000101',\n", - " '00100101',\n", - " '01011000',\n", - " '01010000',\n", - " '01001100',\n", - " '00001101',\n", - " '00000100',\n", - " '11100010',\n", - " '11010100',\n", - " '00000000',\n", - " '11001101',\n", - " '00111000',\n", - " '00100110',\n", - " '11010110',\n", - " '00100000',\n", - " '00101101',\n", - " '01000101',\n", - " '00001010',\n", - " '01000110',\n", - " '11000110',\n", - " '01101110',\n", - " '10011100',\n", - " '11100010',\n", - " '11011100',\n", - " '00111100',\n", - " '00001000',\n", - " '00011110',\n", - " '00010000',\n", - " '01000011',\n", - " '00001101',\n", - " '10101100',\n", - " '00100100',\n", - " '01001110',\n", - " '01110100',\n", - " '00111010',\n", - " '01110001',\n", - " '00100100',\n", - " '11000100',\n", - " '01001001',\n", - " '01001000',\n", - " '10001000',\n", - " '01011000',\n", - " '11100010',\n", - " '00010001',\n", - " '00010001',\n", - " '11110001',\n", - " '01000001',\n", - " '10000000',\n", - " '01001001',\n", - " '00111000',\n", - " '00000011',\n", - " '01011100',\n", - " '11000000',\n", - " '01110100',\n", - " '00010010',\n", - " '10100100',\n", - " '00001100',\n", - " '01000100',\n", - " '01000110',\n", - " '10101100',\n", - " '10010101',\n", - " '00000100',\n", - " '10000000',\n", - " '00110110',\n", - " '10110110',\n", - " '01100111',\n", - " '01101001',\n", - " '00010001',\n", - " '00110010',\n", - " '00100001',\n", - " '00010010',\n", - " '00000001',\n", - " '11101000',\n", - " '01110011',\n", - " '11010000',\n", - " '00001100',\n", - " '01110011',\n", - " '01001000',\n", - " '01011100',\n", - " '00011101',\n", - " '01101110',\n", - " '01101101',\n", - " '10001110',\n", - " '00000010',\n", - " '00010000',\n", - " '10000100',\n", - " '01110100',\n", - " '10011010',\n", - " '01000010',\n", - " '01100000',\n", - " '00001101',\n", - " '00100010',\n", - " '00100100',\n", - " '01001001',\n", - " '10111000',\n", - " '11011000',\n", - " '01000100',\n", - " '11001001',\n", - " '00010101',\n", - " '10100000',\n", - " '11110011',\n", - " '00010011',\n", - " '00010000',\n", - " '11100100',\n", - " '01000100',\n", - " '00010001',\n", - " '00101000',\n", - " '11011100',\n", - " '01001001',\n", - " '10110101',\n", - " '00000111',\n", - " '10011011',\n", - " '01001000',\n", - " '01110100',\n", - " '00100001',\n", - " '01000000',\n", - " '01100100',\n", - " '01000110',\n", - " '11000110',\n", - " '10000000',\n", - " '01100000',\n", - " '01101000',\n", - " '00011100',\n", - " '00111001',\n", - " '00010010',\n", - " '01000100',\n", - " '01000110',\n", - " '00000100',\n", - " '10111001',\n", - " '00100000',\n", - " '00001101',\n", - " '10011000',\n", - " '00011100',\n", - " '10111001',\n", - " '10001001',\n", - " '00011000',\n", - " '01100010',\n", - " '00000110',\n", - " '01000110',\n", - " '11001110',\n", - " '01100111',\n", - " '01011100',\n", - " '11011010',\n", - " '00111011',\n", - " '11001110',\n", - " '01110011',\n", - " '01100000',\n", - " '00100100',\n", - " '00010101',\n", - " '10010000',\n", - " '00000100',\n", - " '00100100',\n", - " '11010110',\n", - " '10001001',\n", - " '00100010',\n", - " '00110011',\n", - " '10110100',\n", - " '11101001',\n", - " '00010111',\n", - " '10010100',\n", - " '00001000',\n", - " '01011100',\n", - " '11001000',\n", - " '00000111',\n", - " '00010000',\n", - " '10100100',\n", - " '01000100',\n", - " '10010000',\n", - " '10000100',\n", - " '01100001',\n", - " '00010010',\n", - " '01000010',\n", - " '10101011',\n", - " '00111011',\n", - " '00100010',\n", - " '01001111',\n", - " '10001000',\n", - " '01100100',\n", - " '10000110',\n", - " '10010001',\n", - " '01101111',\n", - " '00111100',\n", - " '01011000',\n", - " '11100011',\n", - " '10100000',\n", - " '00000110',\n", - " '01101010',\n", - " '11100100',\n", - " '10111010',\n", - " '10100010',\n", - " '01101110',\n", - " '00011000',\n", - " '00010001',\n", - " '00100001',\n", - " '10111101',\n", - " '10111000',\n", - " '00011000',\n", - " '11000100',\n", - " '00000000',\n", - " '00111010',\n", - " '01100000',\n", - " '00111000',\n", - " '10001000',\n", - " '01111001',\n", - " '11010000',\n", - " '10001000',\n", - " '10001100',\n", - " '01001000',\n", - " '00110000',\n", - " '00010000',\n", - " '01010011',\n", - " '01110100',\n", - " '10011011',\n", - " '00010011',\n", - " '11010101',\n", - " '10100000',\n", - " '01110000',\n", - " '11011100',\n", - " '10000101',\n", - " '00111000',\n", - " '10010011',\n", - " '00010010',\n", - " '00011010',\n", - " '01000110',\n", - " '10010010',\n", - " '10010001',\n", - " '10001010',\n", - " '00100100',\n", - " '00110001',\n", - " '00111010',\n", - " '10010001',\n", - " '00000001',\n", - " '10010111',\n", - " '01010100',\n", - " '00110001',\n", - " '10010100',\n", - " '01111011',\n", - " '11000110',\n", - " '10001001',\n", - " '10010000',\n", - " '00001101',\n", - " '00011010',\n", - " '00100110',\n", - " '11000000',\n", - " '00000001',\n", - " '00000000',\n", - " '01000001',\n", - " '00010110',\n", - " '01000111',\n", - " '00110101',\n", - " '10110001',\n", - " '00100001',\n", - " '00000110',\n", - " '00000111',\n", - " '00001100',\n", - " '00101110',\n", - " '01000101',\n", - " '00011000',\n", - " '01000101',\n", - " '11000101',\n", - " '11010011',\n", - " '01101100',\n", - " '11100111',\n", - " '00110011',\n", - " '00100010',\n", - " '01101101',\n", - " '10001010',\n", - " '11100010',\n", - " '10000010',\n", - " '00110101',\n", - " '10101000',\n", - " '01010010',\n", - " '11110001',\n", - " '00100111',\n", - " '00011010',\n", - " '01010011',\n", - " '00010010',\n", - " '00001011',\n", - " '10000111',\n", - " '10100001',\n", - " '11110101',\n", - " '01000000',\n", - " '11101011',\n", - " '00101001',\n", - " '00110001',\n", - " '10100010',\n", - " '00100010',\n", - " '00000001',\n", - " '00100100',\n", - " '00100010',\n", - " '01110010',\n", - " '01101011',\n", - " '01001000',\n", - " '00001001',\n", - " '10100010',\n", - " '01101110',\n", - " '01100100',\n", - " '01001110',\n", - " '00010110',\n", - " '10011101',\n", - " '10101000',\n", - " '00011011',\n", - " '11100010',\n", - " '10111000',\n", - " '10010001',\n", - " '11101110',\n", - " '11000011',\n", - " '01000000',\n", - " '10111001',\n", - " '00110110',\n", - " '10110010',\n", - " '00011011',\n", - " '10100100',\n", - " '00000110',\n", - " '10010010',\n", - " '01001000',\n", - " '10011001',\n", - " '01000000',\n", - " '01000110',\n", - " '10101110',\n", - " '01100110',\n", - " '01110000',\n", - " '11000001',\n", - " '00111001',\n", - " '10010000',\n", - " '10000000',\n", - " '01000100',\n", - " '10010000',\n", - " '00101000',\n", - " '10111001',\n", - " '11010011',\n", - " '01100100',\n", - " '10011000',\n", - " '01010011',\n", - " '10000010',\n", - " '10000100',\n", - " '01101010',\n", - " '00100011',\n", - " '00100011',\n", - " '00011111',\n", - " '00001101',\n", - " '10110001',\n", - " '00010000',\n", - " '11011001',\n", - " '10010000',\n", - " '11001110',\n", - " '00011010',\n", - " '00010000',\n", - " '10110010',\n", - " '00010000',\n", - " '01110011',\n", - " '00000100',\n", - " '01011010',\n", - " '11101001',\n", - " '01000100',\n", - " '01000000',\n", - " '00000001',\n", - " '00011010',\n", - " '00111001',\n", - " '10001010',\n", - " '10010011',\n", - " '10011001',\n", - " '01000111',\n", - " '00010000',\n", - " '10010000',\n", - " '11110011',\n", - " '01100001',\n", - " '01010001',\n", - " '00110111',\n", - " '00111010',\n", - " '00100011',\n", - " '10001101',\n", - " '00010000',\n", - " '00000111',\n", - " '01100000',\n", - " '00000000',\n", - " '01101011',\n", - " '10001000',\n", - " '01000101',\n", - " '10001101',\n", - " '11001000',\n", - " '01101001',\n", - " '11101001',\n", - " '00100011',\n", - " '00100010',\n", - " '01100100',\n", - " '00000011',\n", - " '10100010',\n", - " '10000010',\n", - " '00001000',\n", - " '10010101',\n", - " '00100011',\n", - " '00011011',\n", - " '00111000',\n", - " '10000010',\n", - " '01101100',\n", - " '10011001',\n", - " '01011110',\n", - " '01001010',\n", - " '00001010',\n", - " '10010011',\n", - " '00000001',\n", - " '11000000',\n", - " '11001001',\n", - " '10110100',\n", - " '10010110',\n", - " '01110011',\n", - " '01010000',\n", - " '00100001',\n", - " '10010000',\n", - " '10001100',\n", - " '10001011',\n", - " '11000000',\n", - " '11100101',\n", - " '10100010',\n", - " '01101110',\n", - " '00000001',\n", - " '01001001',\n", - " '00100111',\n", - " '00111010',\n", - " '01010010',\n", - " '01111001',\n", - " '01011010',\n", - " '10110110',\n", - " '10010000',\n", - " '10001110',\n", - " '01110100',\n", - " '11000000',\n", - " '00100011',\n", - " '10101101',\n", - " '01101000',\n", - " '10001100',\n", - " '10100101',\n", - " '01111001',\n", - " '00111000',\n", - " '10101111',\n", - " '00011001',\n", - " '01100110',\n", - " '01011000',\n", - " '10110101',\n", - " '11110001',\n", - " '00000001',\n", - " '00001000',\n", - " '00001100',\n", - " '00101101',\n", - " '11001101',\n", - " '00000001',\n", - " '11000001',\n", - " '01001001',\n", - " '10110110',\n", - " '01100010',\n", - " '01101100',\n", - " '11000100',\n", - " '00010000',\n", - " '01011001',\n", - " '01101110',\n", - " '01101001',\n", - " '00001011',\n", - " '00110111',\n", - " '00000010',\n", - " '01100100',\n", - " '00010101',\n", - " '01011101',\n", - " '01100001',\n", - " '10101110',\n", - " '11010101',\n", - " '01101011',\n", - " '01001000',\n", - " '01000001',\n", - " '11001101',\n", - " '00001000',\n", - " '01110010',\n", - " '00001101',\n", - " '00110010',\n", - " '00011001',\n", - " '10010011',\n", - " '00000001',\n", - " '11001000',\n", - " '01000000',\n", - " '01001100',\n", - " '10000101',\n", - " '00000000',\n", - " '00001000',\n", - " '11111000',\n", - " '11000100',\n", - " '01010001',\n", - " '01110100',\n", - " '10001110',\n", - " '01000010',\n", - " '01000110',\n", - " '00101111',\n", - " '00000010',\n", - " '11001000',\n", - " '00110100',\n", - " '00010001',\n", - " '10100110',\n", - " '01000000',\n", - " '11100011',\n", - " '00010010',\n", - " '00111010',\n", - " '10000111',\n", - " '10101001',\n", - " '00100101',\n", - " '01001000',\n", - " '10111011',\n", - " '00010011',\n", - " '01101100',\n", - " '10011101',\n", - " '00100100',\n", - " '00110110',\n", - " '10001000',\n", - " '10100010',\n", - " '00011100',\n", - " '01010111',\n", - " '11000100',\n", - " '01100000']" + "['00000',\n", + " '00101',\n", + " '00010',\n", + " '00000',\n", + " '00100',\n", + " '10100',\n", + " '01110',\n", + " '10011',\n", + " '10011',\n", + " '00000',\n", + " '00010',\n", + " '10011',\n", + " '00111',\n", + " '10001',\n", + " '01000',\n", + " '01110',\n", + " '01011',\n", + " '00100',\n", + " '10011',\n", + " '00010',\n", + " '10010',\n", + " '00100',\n", + " '10001',\n", + " '10011',\n", + " '00111',\n", + " '10010',\n", + " '00111',\n", + " '10011',\n", + " '10001',\n", + " '00000',\n", + " '00111',\n", + " '01010',\n", + " '11000',\n", + " '01110',\n", + " '10001',\n", + " '01111',\n", + " '00101',\n", + " '10001',\n", + " '00110',\n", + " '00100',\n", + " '01110',\n", + " '00000',\n", + " '00011',\n", + " '01111',\n", + " '01111',\n", + " '01001',\n", + " '01101',\n", + " '00110',\n", + " '01011',\n", + " '10011',\n", + " '00100',\n", + " '10001',\n", + " '01101',\n", + " '00100',\n", + " '00101',\n", + " '00100',\n", + " '01110',\n", + " '00101',\n", + " '01000',\n", + " '01110',\n", + " '10001',\n", + " '10011',\n", + " '10010',\n", + " '00011',\n", + " '00011',\n", + " '01110',\n", + " '00100',\n", + " '00100',\n", + " '10100',\n", + " '01100',\n", + " '10010',\n", + " '00010',\n", + " '10001',\n", + " '10100',\n", + " '00100',\n", + " '10001',\n", + " '01101',\n", + " '00101',\n", + " '00100',\n", + " '10011',\n", + " '01011',\n", + " '00000',\n", + " '00000',\n", + " '00101',\n", + " '10010',\n", + " '10011',\n", + " '10110',\n", + " '01000',\n", + " '00100',\n", + " '01101',\n", + " '10011',\n", + " '10001',\n", + " '10101',\n", + " '01110',\n", + " '01110',\n", + " '01101',\n", + " '00100',\n", + " '10001',\n", + " '00111',\n", + " '10100',\n", + " '00000',\n", + " '00111',\n", + " '10001',\n", + " '00000',\n", + " '10101',\n", + " '00100',\n", + " '10001',\n", + " '00100',\n", + " '00100',\n", + " '10011',\n", + " '10010',\n", + " '10101',\n", + " '10010',\n", + " '01000',\n", + " '00100',\n", + " '01011',\n", + " '00111',\n", + " '01011',\n", + " '01110',\n", + " '10010',\n", + " '10011',\n", + " '00011',\n", + " '01110',\n", + " '00000',\n", + " '01011',\n", + " '01110',\n", + " '11000',\n", + " '00000',\n", + " '00100',\n", + " '10010',\n", + " '01100',\n", + " '01101',\n", + " '01101',\n", + " '00011',\n", + " '01000',\n", + " '00110',\n", + " '01101',\n", + " '01101',\n", + " '10001',\n", + " '00111',\n", + " '01110',\n", + " '00111',\n", + " '00111',\n", + " '10011',\n", + " '10010',\n", + " '01101',\n", + " '00000',\n", + " '01110',\n", + " '01000',\n", + " '01011',\n", + " '01101',\n", + " '00010',\n", + " '01101',\n", + " '10010',\n", + " '10010',\n", + " '01000',\n", + " '00010',\n", + " '10001',\n", + " '00100',\n", + " '00000',\n", + " '01101',\n", + " '01101',\n", + " '00100',\n", + " '00100',\n", + " '01000',\n", + " '01000',\n", + " '01000',\n", + " '00100',\n", + " '10001',\n", + " '10110',\n", + " '10011',\n", + " '00000',\n", + " '01101',\n", + " '00100',\n", + " '10010',\n", + " '10001',\n", + " '10101',\n", + " '01110',\n", + " '00110',\n", + " '01000',\n", + " '00100',\n", + " '01000',\n", + " '11000',\n", + " '10110',\n", + " '10010',\n", + " '10010',\n", + " '00011',\n", + " '00110',\n", + " '01111',\n", + " '10101',\n", + " '01110',\n", + " '01000',\n", + " '00000',\n", + " '01000',\n", + " '10010',\n", + " '00000',\n", + " '01110',\n", + " '00000',\n", + " '00100',\n", + " '01110',\n", + " '00000',\n", + " '00100',\n", + " '00011',\n", + " '10001',\n", + " '01101',\n", + " '01000',\n", + " '10011',\n", + " '10001',\n", + " '01101',\n", + " '10111',\n", + " '00100',\n", + " '01000',\n", + " '00110',\n", + " '10001',\n", + " '01111',\n", + " '10010',\n", + " '10010',\n", + " '00111',\n", + " '00000',\n", + " '00011',\n", + " '00111',\n", + " '00011',\n", + " '10011',\n", + " '01110',\n", + " '01000',\n", + " '01111',\n", + " '00000',\n", + " '00000',\n", + " '10011',\n", + " '00100',\n", + " '10111',\n", + " '00100',\n", + " '01101',\n", + " '01101',\n", + " '00100',\n", + " '10010',\n", + " '00000',\n", + " '00110',\n", + " '10001',\n", + " '01110',\n", + " '00001',\n", + " '10011',\n", + " '01011',\n", + " '00100',\n", + " '10010',\n", + " '10001',\n", + " '01101',\n", + " '10001',\n", + " '01110',\n", + " '01000',\n", + " '10001',\n", + " '11000',\n", + " '01111',\n", + " '00001',\n", + " '00110',\n", + " '00100',\n", + " '00011',\n", + " '00010',\n", + " '01011',\n", + " '01011',\n", + " '01000',\n", + " '10110',\n", + " '00000',\n", + " '01011',\n", + " '00000',\n", + " '01011',\n", + " '00100',\n", + " '00100',\n", + " '01101',\n", + " '01000',\n", + " '00110',\n", + " '10001',\n", + " '10001',\n", + " '01101',\n", + " '10110',\n", + " '11000',\n", + " '10001',\n", + " '01011',\n", + " '01000',\n", + " '01100',\n", + " '01011',\n", + " '01111',\n", + " '10010',\n", + " '10011',\n", + " '01110',\n", + " '01011',\n", + " '00100',\n", + " '00101',\n", + " '10011',\n", + " '10001',\n", + " '00011',\n", + " '01100',\n", + " '10100',\n", + " '00000',\n", + " '10001',\n", + " '01000',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '01000',\n", + " '01000',\n", + " '00000',\n", + " '01110',\n", + " '01011',\n", + " '01101',\n", + " '00100',\n", + " '10110',\n", + " '10010',\n", + " '00000',\n", + " '01110',\n", + " '00111',\n", + " '10001',\n", + " '10011',\n", + " '01011',\n", + " '10010',\n", + " '10011',\n", + " '01110',\n", + " '00001',\n", + " '00100',\n", + " '10011',\n", + " '01101',\n", + " '10010',\n", + " '01011',\n", + " '10101',\n", + " '00101',\n", + " '01000',\n", + " '10101',\n", + " '00011',\n", + " '01110',\n", + " '10101',\n", + " '10011',\n", + " '01111',\n", + " '01110',\n", + " '00000',\n", + " '00100',\n", + " '00100',\n", + " '01000',\n", + " '10010',\n", + " '00010',\n", + " '01000',\n", + " '01110',\n", + " '00111',\n", + " '01000',\n", + " '01111',\n", + " '10010',\n", + " '00100',\n", + " '10101',\n", + " '00100',\n", + " '00100',\n", + " '00011',\n", + " '10011',\n", + " '00100',\n", + " '10110',\n", + " '00101',\n", + " '00000',\n", + " '10001',\n", + " '01101',\n", + " '00111',\n", + " '00100',\n", + " '00001',\n", + " '01011',\n", + " '00100',\n", + " '00000',\n", + " '01110',\n", + " '10011',\n", + " '01110',\n", + " '00111',\n", + " '10011',\n", + " '10011',\n", + " '10011',\n", + " '00100',\n", + " '01111',\n", + " '01101',\n", + " '00010',\n", + " '01010',\n", + " '00000',\n", + " '01110',\n", + " '01101',\n", + " '00111',\n", + " '10110',\n", + " '00100',\n", + " '10011',\n", + " '01100',\n", + " '10101',\n", + " '11000',\n", + " '01111',\n", + " '10001',\n", + " '10001',\n", + " '00100',\n", + " '01110',\n", + " '01101',\n", + " '01101',\n", + " '00000',\n", + " '10010',\n", + " '00110',\n", + " '00011',\n", + " '00100',\n", + " '00011',\n", + " '01110',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '01110',\n", + " '00000',\n", + " '00000',\n", + " '01100',\n", + " '10011',\n", + " '00010',\n", + " '01000',\n", + " '00010',\n", + " '10011',\n", + " '10011',\n", + " '01000',\n", + " '00101',\n", + " '01101',\n", + " '00000',\n", + " '00011',\n", + " '10001',\n", + " '00100',\n", + " '10010',\n", + " '10001',\n", + " '10011',\n", + " '10010',\n", + " '00100',\n", + " '10001',\n", + " '01110',\n", + " '10010',\n", + " '00100',\n", + " '10011',\n", + " '10001',\n", + " '00111',\n", + " '00010',\n", + " '01000',\n", + " '00010',\n", + " '10011',\n", + " '01111',\n", + " '10010',\n", + " '00000',\n", + " '00000',\n", + " '00100',\n", + " '00111',\n", + " '01011',\n", + " '00011',\n", + " '00111',\n", + " '10010',\n", + " '00101',\n", + " '10111',\n", + " '10010',\n", + " '01110',\n", + " '00000',\n", + " '01110',\n", + " '10011',\n", + " '00010',\n", + " '10011',\n", + " '00001',\n", + " '00001',\n", + " '10010',\n", + " '01110',\n", + " '00100',\n", + " '01000',\n", + " '10001',\n", + " '01101',\n", + " '10010',\n", + " '00000',\n", + " '00011',\n", + " '01011',\n", + " '11000',\n", + " '10011',\n", + " '10001',\n", + " '10001',\n", + " '10100',\n", + " '01101',\n", + " '10001',\n", + " '00010',\n", + " '00100',\n", + " '01111',\n", + " '10011',\n", + " '10011',\n", + " '00111',\n", + " '10001',\n", + " '00100',\n", + " '10100',\n", + " '00111',\n", + " '01101',\n", + " '01010',\n", + " '10011',\n", + " '00000',\n", + " '00010',\n", + " '00100',\n", + " '00010',\n", + " '00100',\n", + " '00100',\n", + " '01011',\n", + " '10001',\n", + " '10110',\n", + " '01101',\n", + " '01000',\n", + " '10001',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '00000',\n", + " '00100',\n", + " '10010',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '01000',\n", + " '00011',\n", + " '01000',\n", + " '10010',\n", + " '01110',\n", + " '00110',\n", + " '00010',\n", + " '00100',\n", + " '01110',\n", + " '01100',\n", + " '01101',\n", + " '10001',\n", + " '10011',\n", + " '00100',\n", + " '01001',\n", + " '00111',\n", + " '00000',\n", + " '00110',\n", + " '00000',\n", + " '00001',\n", + " '10010',\n", + " '00100',\n", + " '01101',\n", + " '01000',\n", + " '10011',\n", + " '01011',\n", + " '10110',\n", + " '10011',\n", + " '10001',\n", + " '01101',\n", + " '00001',\n", + " '01100',\n", + " '01000',\n", + " '00100',\n", + " '01011',\n", + " '10010',\n", + " '00000',\n", + " '10001',\n", + " '00100',\n", + " '10011',\n", + " '00100',\n", + " '10010',\n", + " '10001',\n", + " '01101',\n", + " '00110',\n", + " '10010',\n", + " '01101',\n", + " '00111',\n", + " '00100',\n", + " '00001',\n", + " '01000',\n", + " '01110',\n", + " '10010',\n", + " '00011',\n", + " '01000',\n", + " '00100',\n", + " '01101',\n", + " '00000',\n", + " '00101',\n", + " '01011',\n", + " '00100',\n", + " '01000',\n", + " '10010',\n", + " '00000',\n", + " '00111',\n", + " '01110',\n", + " '00010',\n", + " '01000',\n", + " '00101',\n", + " '00100',\n", + " '10101',\n", + " '01100',\n", + " '00101',\n", + " '00000',\n", + " '10011',\n", + " '00000',\n", + " '01101',\n", + " '00000',\n", + " '10011',\n", + " '10001',\n", + " '01101',\n", + " '01000',\n", + " '00000',\n", + " '00110',\n", + " '01101',\n", + " '00111',\n", + " '00000',\n", + " '10011',\n", + " '01101',\n", + " '01100',\n", + " '01000',\n", + " '00001',\n", + " '01101',\n", + " '01000',\n", + " '10100',\n", + " '00101',\n", + " '00100',\n", + " '01101',\n", + " '10001',\n", + " '10011',\n", + " '01110',\n", + " '10011',\n", + " '10011',\n", + " '10001',\n", + " '01101',\n", + " '11000',\n", + " '01111',\n", + " '00000',\n", + " '01000',\n", + " '00011',\n", + " '11000',\n", + " '01000',\n", + " '00100',\n", + " '00110',\n", + " '00011',\n", + " '01101',\n", + " '01100',\n", + " '00100',\n", + " '10001',\n", + " '00111',\n", + " '00111',\n", + " '01000',\n", + " '01110',\n", + " '10011',\n", + " '10001',\n", + " '00100',\n", + " '10011',\n", + " '00010',\n", + " '00100',\n", + " '10010',\n", + " '10010',\n", + " '00100',\n", + " '01000',\n", + " '01011',\n", + " '00011',\n", + " '10001',\n", + " '00001',\n", + " '00010',\n", + " '00100',\n", + " '01111',\n", + " '10001',\n", + " '01000',\n", + " '00110',\n", + " '00000',\n", + " '00100',\n", + " '10010',\n", + " '01110',\n", + " '00000',\n", + " '00011',\n", + " '01011',\n", + " '10011',\n", + " '00000',\n", + " '00111',\n", + " '01000',\n", + " '00100',\n", + " '10101',\n", + " '00100',\n", + " '00001',\n", + " '10001',\n", + " '00010',\n", + " '00100',\n", + " '01101',\n", + " '01011',\n", + " '00100',\n", + " '10101',\n", + " '00000',\n", + " '10010',\n", + " '00000',\n", + " '00011',\n", + " '01101',\n", + " '01101',\n", + " '10011',\n", + " '00111',\n", + " '01101',\n", + " '00100',\n", + " '01000',\n", + " '10011',\n", + " '00100',\n", + " '01000',\n", + " '01000',\n", + " '10010',\n", + " '00000',\n", + " '00111',\n", + " '10100',\n", + " '00111',\n", + " '00111',\n", + " '10100',\n", + " '00000',\n", + " '01100',\n", + " '01110',\n", + " '01101',\n", + " '00100',\n", + " '00101',\n", + " '11000',\n", + " '00111',\n", + " '01011',\n", + " '01110',\n", + " '01101',\n", + " '10110',\n", + " '00111',\n", + " '00000',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '00100',\n", + " '01110',\n", + " '10010',\n", + " '01101',\n", + " '00100',\n", + " '00100',\n", + " '11000',\n", + " '00000',\n", + " '01101',\n", + " '00100',\n", + " '01000',\n", + " '10010',\n", + " '00100',\n", + " '10011',\n", + " '01110',\n", + " '00110',\n", + " '11000',\n", + " '01000',\n", + " '10011',\n", + " '00100',\n", + " '10001',\n", + " '01011',\n", + " '01000',\n", + " '00111',\n", + " '10011',\n", + " '00010',\n", + " '01100',\n", + " '01000',\n", + " '01110',\n", + " '01000',\n", + " '10001',\n", + " '00000',\n", + " '10001',\n", + " '00101',\n", + " '00011',\n", + " '01110',\n", + " '00100',\n", + " '10011',\n", + " '01101',\n", + " '01000',\n", + " '00111',\n", + " '10011',\n", + " '01101',\n", + " '00100',\n", + " '00111',\n", + " '01000',\n", + " '01000',\n", + " '01010',\n", + " '00000',\n", + " '01100',\n", + " '10001',\n", + " '00011',\n", + " '01100',\n", + " '01101',\n", + " '00000',\n", + " '00011',\n", + " '00000',\n", + " '01101',\n", + " '00000',\n", + " '01110',\n", + " '00011',\n", + " '10010',\n", + " '00100',\n", + " '10010',\n", + " '00100',\n", + " '01000',\n", + " '11000',\n", + " '00010',\n", + " '01011',\n", + " '10010',\n", + " '01000',\n", + " '00000',\n", + " '01101',\n", + " '10011',\n", + " '00000',\n", + " '01110',\n", + " '01011',\n", + " '10011',\n", + " '00010',\n", + " '01000',\n", + " '11000',\n", + " '01100',\n", + " '01000',\n", + " '00011',\n", + " '00100',\n", + " '01101',\n", + " '10011',\n", + " '10011',\n", + " '00111',\n", + " '01011',\n", + " '10011',\n", + " '01101',\n", + " '00011',\n", + " '10111',\n", + " '10011',\n", + " '10011',\n", + " '10011',\n", + " '01100',\n", + " '00000',\n", + " '10010',\n", + " '00001',\n", + " '01011',\n", + " '00100',\n", + " '00000',\n", + " '00100',\n", + " '00100',\n", + " '10011',\n", + " '01011',\n", + " '01000',\n", + " '10010',\n", + " '01000',\n", + " '10001',\n", + " '10011',\n", + " '10110',\n", + " '10011',\n", + " '10100',\n", + " '10001',\n", + " '01111',\n", + " '00101',\n", + " '00000',\n", + " '01000',\n", + " '01011',\n", + " '10011',\n", + " '00100',\n", + " '00000',\n", + " '01110',\n", + " '00100',\n", + " '00101',\n", + " '00100',\n", + " '01000',\n", + " '10010',\n", + " '01000',\n", + " '01000',\n", + " '01000',\n", + " '11000',\n", + " '01000',\n", + " '10010',\n", + " '01000',\n", + " '01010',\n", + " '10101',\n", + " '10011',\n", + " '10110',\n", + " '01000',\n", + " '10010',\n", + " '01111',\n", + " '10001',\n", + " '00001',\n", + " '10010',\n", + " '01000',\n", + " '01101',\n", + " '00100',\n", + " '01011',\n", + " '01111',\n", + " '00111',\n", + " '10001',\n", + " '01100',\n", + " '01110',\n", + " '00111',\n", + " '01000',\n", + " '00000',\n", + " '00110',\n", + " '01101',\n", + " '01011',\n", + " '10010',\n", + " '01011',\n", + " '10101',\n", + " '01000',\n", + " '10011',\n", + " '01110',\n", + " '00011',\n", + " '00000',\n", + " '01000',\n", + " '10010',\n", + " '00011',\n", + " '01111',\n", + " '01101',\n", + " '11000',\n", + " '00011',\n", + " '00011',\n", + " '00010',\n", + " '00000',\n", + " '00000',\n", + " '01110',\n", + " '10011',\n", + " '00000',\n", + " '00111',\n", + " '00010',\n", + " '00100',\n", + " '00111',\n", + " '10011',\n", + " '10100',\n", + " '00100',\n", + " '01000',\n", + " '10001',\n", + " '10001',\n", + " '00100',\n", + " '00011',\n", + " '00000',\n", + " '00100',\n", + " '00010',\n", + " '10011',\n", + " '01110',\n", + " '10010',\n", + " '01101',\n", + " '10001',\n", + " '00111',\n", + " '10101',\n", + " '01101',\n", + " '00000',\n", + " '01110',\n", + " '00011',\n", + " '01110',\n", + " '01000',\n", + " '01010',\n", + " '01110',\n", + " '00100',\n", + " '10011',\n", + " '00010',\n", + " '01000',\n", + " '01101',\n", + " '00100',\n", + " '01101',\n", + " '00100',\n", + " '10100',\n", + " '10001',\n", + " '10001',\n", + " '01000',\n", + " '10010',\n", + " '00011',\n", + " '00010',\n", + " '01110',\n", + " '10100',\n", + " '10001',\n", + " '00000',\n", + " '00110',\n", + " '01011',\n", + " '10101',\n", + " '01000',\n", + " '01100',\n", + " '01100',\n", + " '10100',\n", + " '01111',\n", + " '01111',\n", + " '00011',\n", + " '01000',\n", + " '10011',\n", + " '00100',\n", + " '00000',\n", + " '01101',\n", + " '00011',\n", + " '01000',\n", + " '10011',\n", + " '01100',\n", + " '00000',\n", + " '00000',\n", + " '01000',\n", + " '00000',\n", + " '01000',\n", + " '00100',\n", + " '01011',\n", + " '00100',\n", + " '01110',\n", + " '01101',\n", + " '01101',\n", + " '10001',\n", + " '00100',\n", + " '00100',\n", + " '00011',\n", + " '00000',\n", + " '01110',\n", + " '00011',\n", + " '00001',\n", + " '01110',\n", + " '01000',\n", + " '10100',\n", + " '01100',\n", + " '00100',\n", + " '01011',\n", + " '10001',\n", + " '01110',\n", + " '10011',\n", + " '01101',\n", + " '10011',\n", + " '10011',\n", + " '10011',\n", + " '00110',\n", + " '01000',\n", + " '10011',\n", + " '01101',\n", + " ...]" ] } ], - "prompt_number": 21 + "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ - "[(int(c, 2)) for c in chunks(c8b, 8)]" + "[(int(c, 2)) for c in chunks(c8b, 5)]" ], "language": "python", "metadata": {}, @@ -1074,913 +1200,2532 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 20, + "prompt_number": 9, "text": [ - "[1,\n", - " 68,\n", - " 2,\n", - " 81,\n", - " 211,\n", - " 152,\n", + "[0,\n", " 5,\n", - " 51,\n", - " 197,\n", + " 2,\n", + " 0,\n", + " 4,\n", + " 20,\n", " 14,\n", - " 89,\n", - " 38,\n", - " 41,\n", - " 18,\n", - " 51,\n", - " 60,\n", - " 143,\n", - " 56,\n", - " 128,\n", - " 234,\n", - " 195,\n", - " 162,\n", - " 242,\n", - " 196,\n", - " 196,\n", - " 112,\n", - " 6,\n", - " 247,\n", - " 165,\n", - " 166,\n", - " 92,\n", - " 201,\n", - " 22,\n", - " 144,\n", - " 164,\n", - " 113,\n", - " 80,\n", - " 232,\n", - " 206,\n", - " 67,\n", - " 27,\n", - " 136,\n", - " 74,\n", - " 50,\n", - " 66,\n", - " 141,\n", - " 9,\n", - " 22,\n", - " 148,\n", - " 147,\n", - " 88,\n", - " 0,\n", - " 89,\n", - " 78,\n", - " 200,\n", - " 35,\n", - " 103,\n", - " 26,\n", - " 185,\n", - " 205,\n", - " 36,\n", - " 79,\n", - " 64,\n", - " 30,\n", - " 32,\n", - " 169,\n", - " 34,\n", - " 66,\n", - " 78,\n", - " 85,\n", - " 146,\n", - " 8,\n", - " 179,\n", - " 173,\n", - " 210,\n", - " 152,\n", - " 220,\n", - " 5,\n", - " 187,\n", + " 19,\n", + " 19,\n", " 0,\n", - " 36,\n", - " 152,\n", - " 214,\n", - " 141,\n", - " 6,\n", - " 107,\n", - " 98,\n", - " 119,\n", - " 28,\n", - " 243,\n", - " 147,\n", - " 64,\n", - " 228,\n", - " 45,\n", - " 162,\n", - " 108,\n", - " 164,\n", - " 129,\n", - " 68,\n", - " 128,\n", - " 107,\n", - " 72,\n", - " 68,\n", - " 33,\n", - " 4,\n", - " 141,\n", - " 166,\n", - " 6,\n", - " 146,\n", - " 81,\n", - " 171,\n", - " 140,\n", - " 130,\n", - " 35,\n", - " 22,\n", - " 148,\n", - " 134,\n", - " 103,\n", - " 213,\n", - " 200,\n", " 2,\n", - " 36,\n", + " 19,\n", + " 7,\n", + " 17,\n", + " 8,\n", + " 14,\n", + " 11,\n", + " 4,\n", + " 19,\n", + " 2,\n", + " 18,\n", + " 4,\n", + " 17,\n", + " 19,\n", + " 7,\n", + " 18,\n", " 7,\n", + " 19,\n", + " 17,\n", " 0,\n", - " 142,\n", - " 1,\n", " 7,\n", - " 22,\n", - " 162,\n", - " 113,\n", - " 109,\n", - " 200,\n", - " 131,\n", - " 69,\n", - " 242,\n", - " 145,\n", - " 192,\n", - " 51,\n", - " 142,\n", - " 110,\n", - " 67,\n", - " 192,\n", - " 9,\n", - " 146,\n", - " 228,\n", - " 107,\n", - " 73,\n", - " 32,\n", - " 26,\n", - " 46,\n", - " 12,\n", - " 214,\n", - " 73,\n", - " 69,\n", - " 177,\n", - " 114,\n", - " 35,\n", - " 135,\n", - " 132,\n", - " 196,\n", + " 10,\n", " 24,\n", - " 150,\n", - " 180,\n", - " 88,\n", - " 11,\n", - " 2,\n", - " 200,\n", - " 70,\n", - " 160,\n", - " 209,\n", - " 139,\n", - " 109,\n", - " 136,\n", - " 173,\n", - " 12,\n", - " 91,\n", - " 229,\n", - " 55,\n", - " 44,\n", - " 133,\n", - " 156,\n", - " 70,\n", - " 202,\n", - " 2,\n", - " 40,\n", - " 33,\n", - " 8,\n", - " 132,\n", - " 1,\n", - " 203,\n", - " 105,\n", - " 45,\n", - " 32,\n", - " 56,\n", - " 241,\n", - " 154,\n", - " 229,\n", - " 55,\n", - " 4,\n", - " 147,\n", - " 108,\n", - " 151,\n", - " 82,\n", - " 162,\n", - " 163,\n", - " 117,\n", - " 102,\n", - " 247,\n", - " 0,\n", - " 132,\n", - " 68,\n", - " 132,\n", - " 135,\n", - " 29,\n", - " 15,\n", - " 145,\n", - " 42,\n", - " 66,\n", " 14,\n", - " 100,\n", - " 177,\n", - " 65,\n", - " 22,\n", - " 156,\n", - " 129,\n", - " 89,\n", - " 0,\n", - " 233,\n", - " 184,\n", - " 243,\n", - " 156,\n", - " 200,\n", - " 246,\n", - " 137,\n", - " 64,\n", - " 115,\n", - " 79,\n", - " 98,\n", - " 77,\n", - " 149,\n", - " 195,\n", - " 227,\n", - " 18,\n", - " 57,\n", - " 173,\n", + " 17,\n", + " 15,\n", + " 5,\n", + " 17,\n", + " 6,\n", " 4,\n", - " 140,\n", - " 50,\n", - " 13,\n", - " 196,\n", - " 33,\n", - " 28,\n", + " 14,\n", " 0,\n", - " 50,\n", - " 98,\n", - " 64,\n", - " 167,\n", - " 52,\n", - " 21,\n", - " 160,\n", - " 28,\n", - " 73,\n", - " 40,\n", - " 206,\n", - " 68,\n", - " 139,\n", - " 164,\n", - " 73,\n", - " 196,\n", - " 226,\n", - " 64,\n", - " 166,\n", - " 249,\n", - " 0,\n", - " 4,\n", - " 58,\n", - " 198,\n", - " 121,\n", - " 22,\n", - " 242,\n", - " 112,\n", - " 29,\n", - " 49,\n", - " 76,\n", - " 33,\n", - " 147,\n", - " 136,\n", - " 136,\n", - " 182,\n", - " 64,\n", - " 26,\n", - " 241,\n", - " 56,\n", - " 198,\n", - " 141,\n", - " 136,\n", - " 136,\n", - " 249,\n", - " 204,\n", - " 241,\n", - " 37,\n", - " 14,\n", - " 213,\n", - " 76,\n", - " 2,\n", - " 32,\n", - " 136,\n", - " 69,\n", - " 198,\n", - " 205,\n", - " 68,\n", - " 72,\n", - " 66,\n", - " 0,\n", - " 146,\n", - " 33,\n", - " 8,\n", - " 129,\n", - " 162,\n", - " 78,\n", - " 48,\n", - " 136,\n", - " 230,\n", - " 54,\n", - " 51,\n", - " 34,\n", - " 78,\n", " 3,\n", - " 0,\n", - " 50,\n", - " 35,\n", - " 81,\n", - " 53,\n", - " 218,\n", - " 113,\n", - " 104,\n", - " 88,\n", - " 130,\n", - " 46,\n", - " 64,\n", - " 137,\n", - " 38,\n", - " 73,\n", - " 69,\n", - " 166,\n", - " 147,\n", - " 78,\n", - " 64,\n", - " 161,\n", - " 210,\n", - " 26,\n", - " 8,\n", - " 208,\n", - " 21,\n", - " 100,\n", - " 68,\n", - " 128,\n", - " 119,\n", + " 15,\n", + " 15,\n", " 9,\n", + " 13,\n", + " 6,\n", + " 11,\n", + " 19,\n", + " 4,\n", + " 17,\n", + " 13,\n", + " 4,\n", " 5,\n", - " 37,\n", - " 88,\n", - " 80,\n", - " 76,\n", - " 13,\n", - " 4,\n", - " 226,\n", - " 212,\n", - " 0,\n", - " 205,\n", - " 56,\n", - " 38,\n", - " 214,\n", - " 32,\n", - " 45,\n", - " 69,\n", - " 10,\n", - " 70,\n", - " 198,\n", - " 110,\n", - " 156,\n", - " 226,\n", - " 220,\n", - " 60,\n", - " 8,\n", - " 30,\n", - " 16,\n", - " 67,\n", - " 13,\n", - " 172,\n", - " 36,\n", - " 78,\n", - " 116,\n", - " 58,\n", - " 113,\n", - " 36,\n", - " 196,\n", - " 73,\n", - " 72,\n", - " 136,\n", - " 88,\n", - " 226,\n", - " 17,\n", - " 17,\n", - " 241,\n", - " 65,\n", - " 128,\n", - " 73,\n", - " 56,\n", - " 3,\n", - " 92,\n", - " 192,\n", - " 116,\n", + " 4,\n", + " 14,\n", + " 5,\n", + " 8,\n", + " 14,\n", + " 17,\n", + " 19,\n", " 18,\n", - " 164,\n", + " 3,\n", + " 3,\n", + " 14,\n", + " 4,\n", + " 4,\n", + " 20,\n", " 12,\n", - " 68,\n", - " 70,\n", - " 172,\n", - " 149,\n", - " 4,\n", - " 128,\n", - " 54,\n", - " 182,\n", - " 103,\n", - " 105,\n", - " 17,\n", - " 50,\n", - " 33,\n", " 18,\n", - " 1,\n", - " 232,\n", - " 115,\n", - " 208,\n", - " 12,\n", - " 115,\n", - " 72,\n", - " 92,\n", - " 29,\n", - " 110,\n", - " 109,\n", - " 142,\n", " 2,\n", - " 16,\n", - " 132,\n", - " 116,\n", - " 154,\n", - " 66,\n", - " 96,\n", - " 13,\n", - " 34,\n", - " 36,\n", - " 73,\n", - " 184,\n", - " 216,\n", - " 68,\n", - " 201,\n", - " 21,\n", - " 160,\n", - " 243,\n", - " 19,\n", - " 16,\n", - " 228,\n", - " 68,\n", " 17,\n", - " 40,\n", - " 220,\n", - " 73,\n", - " 181,\n", - " 7,\n", - " 155,\n", - " 72,\n", - " 116,\n", - " 33,\n", - " 64,\n", - " 100,\n", - " 70,\n", - " 198,\n", - " 128,\n", - " 96,\n", - " 104,\n", - " 28,\n", - " 57,\n", + " 20,\n", + " 4,\n", + " 17,\n", + " 13,\n", + " 5,\n", + " 4,\n", + " 19,\n", + " 11,\n", + " 0,\n", + " 0,\n", + " 5,\n", " 18,\n", - " 68,\n", - " 70,\n", + " 19,\n", + " 22,\n", + " 8,\n", " 4,\n", - " 185,\n", - " 32,\n", " 13,\n", - " 152,\n", - " 28,\n", - " 185,\n", - " 137,\n", - " 24,\n", - " 98,\n", - " 6,\n", - " 70,\n", - " 206,\n", - " 103,\n", - " 92,\n", - " 218,\n", - " 59,\n", - " 206,\n", - " 115,\n", - " 96,\n", - " 36,\n", + " 19,\n", + " 17,\n", " 21,\n", - " 144,\n", - " 4,\n", - " 36,\n", - " 214,\n", - " 137,\n", - " 34,\n", - " 51,\n", - " 180,\n", - " 233,\n", - " 23,\n", - " 148,\n", + " 14,\n", + " 14,\n", + " 13,\n", + " 4,\n", + " 17,\n", + " 7,\n", + " 20,\n", + " 0,\n", + " 7,\n", + " 17,\n", + " 0,\n", + " 21,\n", + " 4,\n", + " 17,\n", + " 4,\n", + " 4,\n", + " 19,\n", + " 18,\n", + " 21,\n", + " 18,\n", " 8,\n", - " 92,\n", - " 200,\n", + " 4,\n", + " 11,\n", " 7,\n", - " 16,\n", - " 164,\n", - " 68,\n", - " 144,\n", - " 132,\n", - " 97,\n", + " 11,\n", + " 14,\n", " 18,\n", - " 66,\n", - " 171,\n", - " 59,\n", - " 34,\n", - " 79,\n", - " 136,\n", - " 100,\n", - " 134,\n", - " 145,\n", - " 111,\n", - " 60,\n", - " 88,\n", - " 227,\n", - " 160,\n", - " 6,\n", - " 106,\n", - " 228,\n", - " 186,\n", - " 162,\n", - " 110,\n", + " 19,\n", + " 3,\n", + " 14,\n", + " 0,\n", + " 11,\n", + " 14,\n", " 24,\n", + " 0,\n", + " 4,\n", + " 18,\n", + " 12,\n", + " 13,\n", + " 13,\n", + " 3,\n", + " 8,\n", + " 6,\n", + " 13,\n", + " 13,\n", " 17,\n", - " 33,\n", - " 189,\n", - " 184,\n", - " 24,\n", - " 196,\n", - " 0,\n", - " 58,\n", - " 96,\n", - " 56,\n", - " 136,\n", - " 121,\n", - " 208,\n", - " 136,\n", - " 140,\n", - " 72,\n", - " 48,\n", - " 16,\n", - " 83,\n", - " 116,\n", - " 155,\n", - " 19,\n", - " 213,\n", - " 160,\n", - " 112,\n", - " 220,\n", - " 133,\n", - " 56,\n", - " 147,\n", + " 7,\n", + " 14,\n", + " 7,\n", + " 7,\n", + " 19,\n", " 18,\n", - " 26,\n", - " 70,\n", - " 146,\n", - " 145,\n", - " 138,\n", - " 36,\n", - " 49,\n", - " 58,\n", - " 145,\n", - " 1,\n", - " 151,\n", - " 84,\n", - " 49,\n", - " 148,\n", - " 123,\n", - " 198,\n", - " 137,\n", - " 144,\n", - " 13,\n", - " 26,\n", - " 38,\n", - " 192,\n", - " 1,\n", + " 13,\n", " 0,\n", - " 65,\n", + " 14,\n", + " 8,\n", + " 11,\n", + " 13,\n", + " 2,\n", + " 13,\n", + " 18,\n", + " 18,\n", + " 8,\n", + " 2,\n", + " 17,\n", + " 4,\n", + " 0,\n", + " 13,\n", + " 13,\n", + " 4,\n", + " 4,\n", + " 8,\n", + " 8,\n", + " 8,\n", + " 4,\n", + " 17,\n", " 22,\n", - " 71,\n", - " 53,\n", - " 177,\n", - " 33,\n", + " 19,\n", + " 0,\n", + " 13,\n", + " 4,\n", + " 18,\n", + " 17,\n", + " 21,\n", + " 14,\n", " 6,\n", - " 7,\n", - " 12,\n", - " 46,\n", - " 69,\n", + " 8,\n", + " 4,\n", + " 8,\n", " 24,\n", - " 69,\n", - " 197,\n", - " 211,\n", - " 108,\n", - " 231,\n", - " 51,\n", - " 34,\n", - " 109,\n", - " 138,\n", - " 226,\n", - " 130,\n", - " 53,\n", - " 168,\n", - " 82,\n", - " 241,\n", - " 39,\n", - " 26,\n", - " 83,\n", - " 18,\n", - " 11,\n", - " 135,\n", - " 161,\n", - " 245,\n", - " 64,\n", - " 235,\n", - " 41,\n", - " 49,\n", - " 162,\n", - " 34,\n", - " 1,\n", - " 36,\n", - " 34,\n", - " 114,\n", - " 107,\n", - " 72,\n", - " 9,\n", - " 162,\n", - " 110,\n", - " 100,\n", - " 78,\n", " 22,\n", - " 157,\n", - " 168,\n", - " 27,\n", - " 226,\n", - " 184,\n", - " 145,\n", - " 238,\n", - " 195,\n", - " 64,\n", - " 185,\n", - " 54,\n", - " 178,\n", - " 27,\n", - " 164,\n", + " 18,\n", + " 18,\n", + " 3,\n", " 6,\n", - " 146,\n", - " 72,\n", - " 153,\n", - " 64,\n", - " 70,\n", - " 174,\n", - " 102,\n", - " 112,\n", - " 193,\n", - " 57,\n", - " 144,\n", - " 128,\n", - " 68,\n", - " 144,\n", - " 40,\n", - " 185,\n", - " 211,\n", - " 100,\n", - " 152,\n", - " 83,\n", - " 130,\n", - " 132,\n", - " 106,\n", - " 35,\n", - " 35,\n", - " 31,\n", - " 13,\n", - " 177,\n", - " 16,\n", - " 217,\n", - " 144,\n", - " 206,\n", - " 26,\n", - " 16,\n", - " 178,\n", - " 16,\n", - " 115,\n", - " 4,\n", - " 90,\n", - " 233,\n", - " 68,\n", - " 64,\n", - " 1,\n", - " 26,\n", - " 57,\n", - " 138,\n", - " 147,\n", - " 153,\n", - " 71,\n", - " 16,\n", - " 144,\n", - " 243,\n", - " 97,\n", - " 81,\n", - " 55,\n", - " 58,\n", - " 35,\n", - " 141,\n", - " 16,\n", - " 7,\n", - " 96,\n", - " 0,\n", - " 107,\n", - " 136,\n", - " 69,\n", - " 141,\n", - " 200,\n", - " 105,\n", - " 233,\n", - " 35,\n", - " 34,\n", - " 100,\n", + " 15,\n", + " 21,\n", + " 14,\n", + " 8,\n", + " 0,\n", + " 8,\n", + " 18,\n", + " 0,\n", + " 14,\n", + " 0,\n", + " 4,\n", + " 14,\n", + " 0,\n", + " 4,\n", " 3,\n", - " 162,\n", - " 130,\n", - " 8,\n", - " 149,\n", - " 35,\n", - " 27,\n", - " 56,\n", - " 130,\n", - " 108,\n", - " 153,\n", - " 94,\n", - " 74,\n", - " 10,\n", - " 147,\n", - " 1,\n", - " 192,\n", - " 201,\n", - " 180,\n", - " 150,\n", - " 115,\n", - " 80,\n", - " 33,\n", - " 144,\n", - " 140,\n", - " 139,\n", - " 192,\n", - " 229,\n", - " 162,\n", - " 110,\n", - " 1,\n", - " 73,\n", - " 39,\n", - " 58,\n", - " 82,\n", - " 121,\n", - " 90,\n", - " 182,\n", - " 144,\n", - " 142,\n", - " 116,\n", - " 192,\n", - " 35,\n", - " 173,\n", - " 104,\n", - " 140,\n", - " 165,\n", - " 121,\n", - " 56,\n", - " 175,\n", - " 25,\n", - " 102,\n", - " 88,\n", - " 181,\n", - " 241,\n", - " 1,\n", + " 17,\n", + " 13,\n", " 8,\n", - " 12,\n", - " 45,\n", - " 205,\n", - " 1,\n", - " 193,\n", - " 73,\n", - " 182,\n", - " 98,\n", - " 108,\n", - " 196,\n", - " 16,\n", - " 89,\n", - " 110,\n", - " 105,\n", - " 11,\n", - " 55,\n", - " 2,\n", - " 100,\n", - " 21,\n", - " 93,\n", - " 97,\n", - " 174,\n", - " 213,\n", - " 107,\n", - " 72,\n", - " 65,\n", - " 205,\n", - " 8,\n", - " 114,\n", - " 13,\n", - " 50,\n", - " 25,\n", - " 147,\n", - " 1,\n", - " 200,\n", - " 64,\n", - " 76,\n", - " 133,\n", - " 0,\n", - " 8,\n", - " 248,\n", - " 196,\n", - " 81,\n", - " 116,\n", - " 142,\n", - " 66,\n", - " 70,\n", - " 47,\n", - " 2,\n", - " 200,\n", - " 52,\n", + " 19,\n", " 17,\n", - " 166,\n", - " 64,\n", - " 227,\n", + " 13,\n", + " 23,\n", + " 4,\n", + " 8,\n", + " 6,\n", + " 17,\n", + " 15,\n", " 18,\n", - " 58,\n", - " 135,\n", - " 169,\n", - " 37,\n", - " 72,\n", - " 187,\n", - " 19,\n", - " 108,\n", - " 157,\n", - " 36,\n", - " 54,\n", - " 136,\n", - " 162,\n", - " 28,\n", - " 87,\n", - " 196,\n", - " 96]" - ] - } - ], - "prompt_number": 20 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "bytes([(int(c, 2)) for c in chunks(c8b, 8)])" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 18, + " 18,\n", + " 7,\n", + " 0,\n", + " 3,\n", + " 7,\n", + " 3,\n", + " 19,\n", + " 14,\n", + " 8,\n", + " 15,\n", + " 0,\n", + " 0,\n", + " 19,\n", + " 4,\n", + " 23,\n", + " 4,\n", + " 13,\n", + " 13,\n", + " 4,\n", + " 18,\n", + " 0,\n", + " 6,\n", + " 17,\n", + " 14,\n", + " 1,\n", + " 19,\n", + " 11,\n", + " 4,\n", + " 18,\n", + " 17,\n", + " 13,\n", + " 17,\n", + " 14,\n", + " 8,\n", + " 17,\n", + " 24,\n", + " 15,\n", + " 1,\n", + " 6,\n", + " 4,\n", + " 3,\n", + " 2,\n", + " 11,\n", + " 11,\n", + " 8,\n", + " 22,\n", + " 0,\n", + " 11,\n", + " 0,\n", + " 11,\n", + " 4,\n", + " 4,\n", + " 13,\n", + " 8,\n", + " 6,\n", + " 17,\n", + " 17,\n", + " 13,\n", + " 22,\n", + " 24,\n", + " 17,\n", + " 11,\n", + " 8,\n", + " 12,\n", + " 11,\n", + " 15,\n", + " 18,\n", + " 19,\n", + " 14,\n", + " 11,\n", + " 4,\n", + " 5,\n", + " 19,\n", + " 17,\n", + " 3,\n", + " 12,\n", + " 20,\n", + " 0,\n", + " 17,\n", + " 8,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 8,\n", + " 8,\n", + " 0,\n", + " 14,\n", + " 11,\n", + " 13,\n", + " 4,\n", + " 22,\n", + " 18,\n", + " 0,\n", + " 14,\n", + " 7,\n", + " 17,\n", + " 19,\n", + " 11,\n", + " 18,\n", + " 19,\n", + " 14,\n", + " 1,\n", + " 4,\n", + " 19,\n", + " 13,\n", + " 18,\n", + " 11,\n", + " 21,\n", + " 5,\n", + " 8,\n", + " 21,\n", + " 3,\n", + " 14,\n", + " 21,\n", + " 19,\n", + " 15,\n", + " 14,\n", + " 0,\n", + " 4,\n", + " 4,\n", + " 8,\n", + " 18,\n", + " 2,\n", + " 8,\n", + " 14,\n", + " 7,\n", + " 8,\n", + " 15,\n", + " 18,\n", + " 4,\n", + " 21,\n", + " 4,\n", + " 4,\n", + " 3,\n", + " 19,\n", + " 4,\n", + " 22,\n", + " 5,\n", + " 0,\n", + " 17,\n", + " 13,\n", + " 7,\n", + " 4,\n", + " 1,\n", + " 11,\n", + " 4,\n", + " 0,\n", + " 14,\n", + " 19,\n", + " 14,\n", + " 7,\n", + " 19,\n", + " 19,\n", + " 19,\n", + " 4,\n", + " 15,\n", + " 13,\n", + " 2,\n", + " 10,\n", + " 0,\n", + " 14,\n", + " 13,\n", + " 7,\n", + " 22,\n", + " 4,\n", + " 19,\n", + " 12,\n", + " 21,\n", + " 24,\n", + " 15,\n", + " 17,\n", + " 17,\n", + " 4,\n", + " 14,\n", + " 13,\n", + " 13,\n", + " 0,\n", + " 18,\n", + " 6,\n", + " 3,\n", + " 4,\n", + " 3,\n", + " 14,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 14,\n", + " 0,\n", + " 0,\n", + " 12,\n", + " 19,\n", + " 2,\n", + " 8,\n", + " 2,\n", + " 19,\n", + " 19,\n", + " 8,\n", + " 5,\n", + " 13,\n", + " 0,\n", + " 3,\n", + " 17,\n", + " 4,\n", + " 18,\n", + " 17,\n", + " 19,\n", + " 18,\n", + " 4,\n", + " 17,\n", + " 14,\n", + " 18,\n", + " 4,\n", + " 19,\n", + " 17,\n", + " 7,\n", + " 2,\n", + " 8,\n", + " 2,\n", + " 19,\n", + " 15,\n", + " 18,\n", + " 0,\n", + " 0,\n", + " 4,\n", + " 7,\n", + " 11,\n", + " 3,\n", + " 7,\n", + " 18,\n", + " 5,\n", + " 23,\n", + " 18,\n", + " 14,\n", + " 0,\n", + " 14,\n", + " 19,\n", + " 2,\n", + " 19,\n", + " 1,\n", + " 1,\n", + " 18,\n", + " 14,\n", + " 4,\n", + " 8,\n", + " 17,\n", + " 13,\n", + " 18,\n", + " 0,\n", + " 3,\n", + " 11,\n", + " 24,\n", + " 19,\n", + " 17,\n", + " 17,\n", + " 20,\n", + " 13,\n", + " 17,\n", + " 2,\n", + " 4,\n", + " 15,\n", + " 19,\n", + " 19,\n", + " 7,\n", + " 17,\n", + " 4,\n", + " 20,\n", + " 7,\n", + " 13,\n", + " 10,\n", + " 19,\n", + " 0,\n", + " 2,\n", + " 4,\n", + " 2,\n", + " 4,\n", + " 4,\n", + " 11,\n", + " 17,\n", + " 22,\n", + " 13,\n", + " 8,\n", + " 17,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 0,\n", + " 4,\n", + " 18,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 8,\n", + " 3,\n", + " 8,\n", + " 18,\n", + " 14,\n", + " 6,\n", + " 2,\n", + " 4,\n", + " 14,\n", + " 12,\n", + " 13,\n", + " 17,\n", + " 19,\n", + " 4,\n", + " 9,\n", + " 7,\n", + " 0,\n", + " 6,\n", + " 0,\n", + " 1,\n", + " 18,\n", + " 4,\n", + " 13,\n", + " 8,\n", + " 19,\n", + " 11,\n", + " 22,\n", + " 19,\n", + " 17,\n", + " 13,\n", + " 1,\n", + " 12,\n", + " 8,\n", + " 4,\n", + " 11,\n", + " 18,\n", + " 0,\n", + " 17,\n", + " 4,\n", + " 19,\n", + " 4,\n", + " 18,\n", + " 17,\n", + " 13,\n", + " 6,\n", + " 18,\n", + " 13,\n", + " 7,\n", + " 4,\n", + " 1,\n", + " 8,\n", + " 14,\n", + " 18,\n", + " 3,\n", + " 8,\n", + " 4,\n", + " 13,\n", + " 0,\n", + " 5,\n", + " 11,\n", + " 4,\n", + " 8,\n", + " 18,\n", + " 0,\n", + " 7,\n", + " 14,\n", + " 2,\n", + " 8,\n", + " 5,\n", + " 4,\n", + " 21,\n", + " 12,\n", + " 5,\n", + " 0,\n", + " 19,\n", + " 0,\n", + " 13,\n", + " 0,\n", + " 19,\n", + " 17,\n", + " 13,\n", + " 8,\n", + " 0,\n", + " 6,\n", + " 13,\n", + " 7,\n", + " 0,\n", + " 19,\n", + " 13,\n", + " 12,\n", + " 8,\n", + " 1,\n", + " 13,\n", + " 8,\n", + " 20,\n", + " 5,\n", + " 4,\n", + " 13,\n", + " 17,\n", + " 19,\n", + " 14,\n", + " 19,\n", + " 19,\n", + " 17,\n", + " 13,\n", + " 24,\n", + " 15,\n", + " 0,\n", + " 8,\n", + " 3,\n", + " 24,\n", + " 8,\n", + " 4,\n", + " 6,\n", + " 3,\n", + " 13,\n", + " 12,\n", + " 4,\n", + " 17,\n", + " 7,\n", + " 7,\n", + " 8,\n", + " 14,\n", + " 19,\n", + " 17,\n", + " 4,\n", + " 19,\n", + " 2,\n", + " 4,\n", + " 18,\n", + " 18,\n", + " 4,\n", + " 8,\n", + " 11,\n", + " 3,\n", + " 17,\n", + " 1,\n", + " 2,\n", + " 4,\n", + " 15,\n", + " 17,\n", + " 8,\n", + " 6,\n", + " 0,\n", + " 4,\n", + " 18,\n", + " 14,\n", + " 0,\n", + " 3,\n", + " 11,\n", + " 19,\n", + " 0,\n", + " 7,\n", + " 8,\n", + " 4,\n", + " 21,\n", + " 4,\n", + " 1,\n", + " 17,\n", + " 2,\n", + " 4,\n", + " 13,\n", + " 11,\n", + " 4,\n", + " 21,\n", + " 0,\n", + " 18,\n", + " 0,\n", + " 3,\n", + " 13,\n", + " 13,\n", + " 19,\n", + " 7,\n", + " 13,\n", + " 4,\n", + " 8,\n", + " 19,\n", + " 4,\n", + " 8,\n", + " 8,\n", + " 18,\n", + " 0,\n", + " 7,\n", + " 20,\n", + " 7,\n", + " 7,\n", + " 20,\n", + " 0,\n", + " 12,\n", + " 14,\n", + " 13,\n", + " 4,\n", + " 5,\n", + " 24,\n", + " 7,\n", + " 11,\n", + " 14,\n", + " 13,\n", + " 22,\n", + " 7,\n", + " 0,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 4,\n", + " 14,\n", + " 18,\n", + " 13,\n", + " 4,\n", + " 4,\n", + " 24,\n", + " 0,\n", + " 13,\n", + " 4,\n", + " 8,\n", + " 18,\n", + " 4,\n", + " 19,\n", + " 14,\n", + " 6,\n", + " 24,\n", + " 8,\n", + " 19,\n", + " 4,\n", + " 17,\n", + " 11,\n", + " 8,\n", + " 7,\n", + " 19,\n", + " 2,\n", + " 12,\n", + " 8,\n", + " 14,\n", + " 8,\n", + " 17,\n", + " 0,\n", + " 17,\n", + " 5,\n", + " 3,\n", + " 14,\n", + " 4,\n", + " 19,\n", + " 13,\n", + " 8,\n", + " 7,\n", + " 19,\n", + " 13,\n", + " 4,\n", + " 7,\n", + " 8,\n", + " 8,\n", + " 10,\n", + " 0,\n", + " 12,\n", + " 17,\n", + " 3,\n", + " 12,\n", + " 13,\n", + " 0,\n", + " 3,\n", + " 0,\n", + " 13,\n", + " 0,\n", + " 14,\n", + " 3,\n", + " 18,\n", + " 4,\n", + " 18,\n", + " 4,\n", + " 8,\n", + " 24,\n", + " 2,\n", + " 11,\n", + " 18,\n", + " 8,\n", + " 0,\n", + " 13,\n", + " 19,\n", + " 0,\n", + " 14,\n", + " 11,\n", + " 19,\n", + " 2,\n", + " 8,\n", + " 24,\n", + " 12,\n", + " 8,\n", + " 3,\n", + " 4,\n", + " 13,\n", + " 19,\n", + " 19,\n", + " 7,\n", + " 11,\n", + " 19,\n", + " 13,\n", + " 3,\n", + " 23,\n", + " 19,\n", + " 19,\n", + " 19,\n", + " 12,\n", + " 0,\n", + " 18,\n", + " 1,\n", + " 11,\n", + " 4,\n", + " 0,\n", + " 4,\n", + " 4,\n", + " 19,\n", + " 11,\n", + " 8,\n", + " 18,\n", + " 8,\n", + " 17,\n", + " 19,\n", + " 22,\n", + " 19,\n", + " 20,\n", + " 17,\n", + " 15,\n", + " 5,\n", + " 0,\n", + " 8,\n", + " 11,\n", + " 19,\n", + " 4,\n", + " 0,\n", + " 14,\n", + " 4,\n", + " 5,\n", + " 4,\n", + " 8,\n", + " 18,\n", + " 8,\n", + " 8,\n", + " 8,\n", + " 24,\n", + " 8,\n", + " 18,\n", + " 8,\n", + " 10,\n", + " 21,\n", + " 19,\n", + " 22,\n", + " 8,\n", + " 18,\n", + " 15,\n", + " 17,\n", + " 1,\n", + " 18,\n", + " 8,\n", + " 13,\n", + " 4,\n", + " 11,\n", + " 15,\n", + " 7,\n", + " 17,\n", + " 12,\n", + " 14,\n", + " 7,\n", + " 8,\n", + " 0,\n", + " 6,\n", + " 13,\n", + " 11,\n", + " 18,\n", + " 11,\n", + " 21,\n", + " 8,\n", + " 19,\n", + " 14,\n", + " 3,\n", + " 0,\n", + " 8,\n", + " 18,\n", + " 3,\n", + " 15,\n", + " 13,\n", + " 24,\n", + " 3,\n", + " 3,\n", + " 2,\n", + " 0,\n", + " 0,\n", + " 14,\n", + " 19,\n", + " 0,\n", + " 7,\n", + " 2,\n", + " 4,\n", + " 7,\n", + " 19,\n", + " 20,\n", + " 4,\n", + " 8,\n", + " 17,\n", + " 17,\n", + " 4,\n", + " 3,\n", + " 0,\n", + " 4,\n", + " 2,\n", + " 19,\n", + " 14,\n", + " 18,\n", + " 13,\n", + " 17,\n", + " 7,\n", + " 21,\n", + " 13,\n", + " 0,\n", + " 14,\n", + " 3,\n", + " 14,\n", + " 8,\n", + " 10,\n", + " 14,\n", + " 4,\n", + " 19,\n", + " 2,\n", + " 8,\n", + " 13,\n", + " 4,\n", + " 13,\n", + " 4,\n", + " 20,\n", + " 17,\n", + " 17,\n", + " 8,\n", + " 18,\n", + " 3,\n", + " 2,\n", + " 14,\n", + " 20,\n", + " 17,\n", + " 0,\n", + " 6,\n", + " 11,\n", + " 21,\n", + " 8,\n", + " 12,\n", + " 12,\n", + " 20,\n", + " 15,\n", + " 15,\n", + " 3,\n", + " 8,\n", + " 19,\n", + " 4,\n", + " 0,\n", + " 13,\n", + " 3,\n", + " 8,\n", + " 19,\n", + " 12,\n", + " 0,\n", + " 0,\n", + " 8,\n", + " 0,\n", + " 8,\n", + " 4,\n", + " 11,\n", + " 4,\n", + " 14,\n", + " 13,\n", + " 13,\n", + " 17,\n", + " 4,\n", + " 4,\n", + " 3,\n", + " 0,\n", + " 14,\n", + " 3,\n", + " 1,\n", + " 14,\n", + " 8,\n", + " 20,\n", + " 12,\n", + " 4,\n", + " 11,\n", + " 17,\n", + " 14,\n", + " 19,\n", + " 13,\n", + " 19,\n", + " 19,\n", + " 19,\n", + " 6,\n", + " 8,\n", + " 19,\n", + " 13,\n", + " ...]" + ] + } + ], + "prompt_number": 9 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "max([(int(c, 2)) for c in chunks(c8b, 5)])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 10, + "text": [ + "24" + ] + } + ], + "prompt_number": 10 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "max([chr(int(c, 2) + ord('a')) for c in chunks(c8b, 5)])" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 11, + "text": [ + "'y'" + ] + } + ], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def cadenus_letter(n, doubled='v'):\n", + " letter = chr(n + ord('a'))\n", + " if letter > doubled:\n", + " letter = chr(n + ord('a') + 1)\n", + " return letter" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "c8bl = ''.join([cadenus_letter(int(c, 2), doubled='z') for c in chunks(c8b, 5)])\n", + "c8bl" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 13, + "text": [ + "'afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdtoipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlimlpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaeeisciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonnasgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxsoaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaeseeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebiosdienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypaidyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlevasadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogyiterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsiantaoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefeisiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaotahcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmuppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienniklysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepoynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghynweintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaanoeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeemrpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylonahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatefaaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda'" + ] + } + ], + "prompt_number": 13 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "min(c8bl), max(c8bl)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 14, + "text": [ + "('a', 'y')" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "len(c8bl), len(c8bl) / 25" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 15, + "text": [ + "(1400, 56.0)" + ] + } + ], + "prompt_number": 15 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "freqs_8b = pd.Series(collections.Counter([l.lower() for l in c8bl if l in string.ascii_letters]))\n", + "freqs_8b.plot(kind='bar')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 16, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAD+CAYAAAAnIY4eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCCGEEEIIIYQQYpLy/29rz2xVUOLbAAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "freqs = pd.Series(english_counts)\n", + "freqs.plot(kind='bar')" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 17, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAD+CAYAAAA+hqL9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text": [ + "" + ] + } + ], + "prompt_number": 17 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "rows = chunks(c8bl, len(c8bl) // 25)\n", + "rows" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 18, + "text": [ + "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefe',\n", + " 'ofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsv',\n", + " 'sielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiie',\n", + " 'rwtanesrvogieiywssdgpvoiaisaoaeoaedrnitrnxeigrpsshadhdto',\n", + " 'ipaatexennesagrobtlesrnroirypbgedclliwalaleenigrrnwyrlim',\n", + " 'lpstoleftrdmuarieeeiiaolnewsaohrtlstobetnslvfivdovtpoaee',\n", + " 'isciohipseveedtewfarnhebleaotohtttepnckaonhwetmvyprreonn',\n", + " 'asgdedoeeeoaamtcicttifnadresrtserosetrhcictpsaaehldhsfxs',\n", + " 'oaotctbbsoeirnsadlytrrunrceptthreuhnktaceceelrwnireeeaes',\n", + " 'eeeidisogceomnrtejhagabsenitlwtrnbmielsaretesrngsnhebios',\n", + " 'dienafleisahocifevmfatanatrniagnhatnmibniufenrtottrnypai',\n", + " 'dyiegdnmerhhiotretcesseildrbceprigaesoadltahievebrcenlev',\n", + " 'asadnnthneiteiisahuhhuamonefyhlonwhaeeeeosneeyaneisetogy',\n", + " 'iterlihtcmioirarfdoetnihtnehiikamrdmnadanaodseseiyclsian',\n", + " 'taoltciymidentthltndxtttmasbleaeetlisirtwturpfailteaoefe',\n", + " 'isiiiyisikvtwisprbsinelphrmohiagnlslvitodaisdpnyddcaaota',\n", + " 'hcehtueirredaectosnrhvnaodoikoetcineneurrisdcouraglvimmu',\n", + " 'ppditeanditmaaiaieleonnreedaodboiumelrotntttgitnrlrienni',\n", + " 'klysogstcifypipvidvssmnceiasiitsnneatitomrhbnhnidprlrepo',\n", + " 'ynalsnvsdosanesitfaenltgodatteeaisicrootmsmfhauenirsghyn',\n", + " 'weintegodiileedtarnosrcaaendtcuttfdrbehtmfitoordruiaoyaa',\n", + " 'noeeldoinhusgiteaoriecevemntratmtfpeucutahamtnewonicdeem',\n", + " 'rpaolitoafesoosspfnlneeootachllirssxsofpdftfrnpraeeaylon',\n", + " 'ahautntcntcbawloneftoatecvowdlwvnneedtiioigtegmtaheeatef',\n", + " 'aaeprrcrosheerrpalediengidrreouhvesuroytnsosinuiuiofprda']" + ] + } + ], + "prompt_number": 18 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "chunks(''.join([l if l in 'phase' else '.' for l in c8bl]), 56)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 19, + "text": [ + "['a..ae....a..h....e..se..hsh..ah....p...e.a.pp.....e..e.e',\n", + " '......s...ee..s...e...e..aa.s...e.......e.h.ah.a.e.ee.s.',\n", + " 's.e.h..s...a...aes.........h.hh.s.a......ss...ea..ee...e',\n", + " '...a.es.....e...ss..p...a.sa.ae.ae........e...pssha.h...',\n", + " '.paa.e.e..esa......es.......p..e......a.a.ee............',\n", + " '.ps...e......a..eee..a...e.sa.h...s...e..s.........p.aee',\n", + " '.s...h.pse.ee..e..a..he..ea...h...ep...a..h.e....p..e...',\n", + " 'as..e..eee.aa..........a..es..se..se..h....psaaeh..hs..s',\n", + " '.a......s.e...sa..........ep..h.e.h...a.e.ee......eeeaes',\n", + " 'eee...s...e.....e.ha.a.se...........e.sa.e.es...s.he...s',\n", + " '..e.a..e.sah....e...a.a.a....a..ha.........e.........pa.',\n", + " '...e....e.hh....e..esse......ep...aes.a...ah.e.e...e..e.',\n", + " 'asa....h.e..e..sah.hh.a...e..h....haeeee.s.ee.a.e.se....',\n", + " '..e...h.......a....e...h..eh...a.....a.a.a..sese....s.a.',\n", + " '.a.........e...h.........as..eaee...s.......p.a...ea.e.e',\n", + " '.s.....s......sp..s..e.ph...h.a...s......a.s.p.....aa..a',\n", + " 'h.eh..e...e.ae...s..h..a......e....e.e....s.....a.......',\n", + " 'pp...ea.....aa.a.e.e....ee.a.......e................e...',\n", + " '...s..s.....p.p....ss...e.as...s..ea......h..h...p...ep.',\n", + " '..a.s..s..sa.es...ae......a..eea.s.......s..ha.e...s.h..',\n", + " '.e...e......ee..a...s..aae...........eh............a..aa',\n", + " '..ee.....h.s...ea...e.e.e....a....pe....aha...e......ee.',\n", + " '.pa.....a.es..ssp....ee...a.h....ss.s..p......p.aeea....',\n", + " 'aha.........a....e...a.e..........ee........e...aheea.e.',\n", + " 'aaep.....shee..pa.e..e......e..h.es......s.s........p..a']" + ] + } + ], + "prompt_number": 19 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "columns = [''.join(c) for c in zip(*rows)]\n", + "columns" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 20, + "text": [ + "['aosriliaoeddaitihpkywnraa',\n", + " 'ffiwppssaeiystascplneopha',\n", + " 'cietascgoeeiaeoiedyaieaae',\n", + " 'aolaatidtinedrlihislneoup',\n", + " 'erhntooecdagnltittostlltr',\n", + " 'utleelhdtifdnicyuegnedinr',\n", + " 'ososxeiobslnthiieasvgottc',\n", + " 'tdsrefpeboemhtysintsoiocr',\n", + " 'tdtvntsesgiencmirdcddnano',\n", + " 'aodonreeocsremikriioihfts',\n", + " 'ceogedvoeeahiidvetfsiuech',\n", + " 'teaismeaiohhtoetdmyalssbe',\n", + " 'huleauearmoieinwaapnegoae',\n", + " 'rmoigadmnncoirtieaieeiowr',\n", + " 'isyyrrttsritiatscipsdtslr',\n", + " 'ocawoiecatfrsrhptavitesop',\n", + " 'lresbewideeeaflroiitaapna',\n", + " 'eusstefcljvthdtbsedfrofel',\n", + " 'temdleatyhmcuonsnlvanrnfe',\n", + " 'crngeirttafehedireseoiltd',\n", + " 'snnpsinirgashtxnhosnsenoi',\n", + " 'efdvrahfratsuntevnmlrceae',\n", + " 'reionoenubaeaitlnnntceetn',\n", + " 'ttgirlbansnimhtparcgavoeg',\n", + " 'hlnaonldrealotmhoeeoaeoci',\n", + " 'saniieercntdnnardeidemtvd',\n", + " 'harsrwaeeirreesmodaannaor',\n", + " 'tfhaysosptnbfhboiastdtcwr',\n", + " 'rsoopatrtlicyilhkoittrhde',\n", + " 'athaboottwaehieiodiecallo',\n", + " 'hwheghhshtgplkaaebteutlwu',\n", + " 'kitoerterrnroaegtosatmivh',\n", + " 'yesadttrenhinmencinittrnv',\n", + " 'onnecltoubagwrtliunsffsne',\n", + " 'rtadlseshmtahdlsnmeidpses',\n", + " 'prorltpenineamileeacrexeu',\n", + " 'fviniontkemsensvnltrbusdr',\n", + " 'roliwbcrtlioeaiierioecoto',\n", + " 'gontaekhasbaedrtuotohufiy',\n", + " 'encrltaccandeatortotttpit',\n", + " 'oennanoierilonwdrnmmmadon',\n", + " 'arsxlsncceutsataitrsfhfis',\n", + " 'dhseelhtetfanouisthmiatgo',\n", + " 'puiievwpeeehedrsdtbftmfts',\n", + " 'pacgnfeslsniespdcgnhotrei',\n", + " 'jhrriitarrreyefpoihaonngn',\n", + " 'nrepgvmawntvasanutnurepmu',\n", + " 'gaasrdvengoeneiyrniedwrti',\n", + " 'lvnsroyhistbeildardnroaau',\n", + " 'tenhnvplrntriytdglpiunehi',\n", + " 'ereawtrdehrcsceclrrriieeo',\n", + " 'reedyprheeneelaavilsacaef',\n", + " 'neihroesebyntsoaiergodyap',\n", + " 'etidlaofaiploieomnehyeltr',\n", + " 'fsitienxeoaegaftmnpyaeoed',\n", + " 'eveomensssivyneauionamnfa']" + ] + } + ], + "prompt_number": 20 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "letter_positions = {letter: [(r, c) for r, row in enumerate(rows) for c, char in enumerate(row) if char == letter] \n", + " for letter in deduplicate('phaseseven')}\n", + "letter_positions" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 21, + "text": [ + "{'a': [(0, 0),\n", + " (0, 3),\n", + " (0, 9),\n", + " (0, 29),\n", + " (0, 41),\n", + " (1, 25),\n", + " (1, 26),\n", + " (1, 44),\n", + " (1, 47),\n", + " (2, 11),\n", + " (2, 15),\n", + " (2, 34),\n", + " (2, 47),\n", + " (3, 3),\n", + " (3, 24),\n", + " (3, 27),\n", + " (3, 29),\n", + " (3, 32),\n", + " (3, 50),\n", + " (4, 2),\n", + " (4, 3),\n", + " (4, 12),\n", + " (4, 38),\n", + " (4, 40),\n", + " (5, 13),\n", + " (5, 21),\n", + " (5, 28),\n", + " (5, 53),\n", + " (6, 18),\n", + " (6, 26),\n", + " (6, 39),\n", + " (7, 0),\n", + " (7, 11),\n", + " (7, 12),\n", + " (7, 23),\n", + " (7, 45),\n", + " (7, 46),\n", + " (8, 1),\n", + " (8, 15),\n", + " (8, 38),\n", + " (8, 53),\n", + " (9, 19),\n", + " (9, 21),\n", + " (9, 39),\n", + " (10, 4),\n", + " (10, 10),\n", + " (10, 20),\n", + " (10, 22),\n", + " (10, 24),\n", + " (10, 29),\n", + " (10, 33),\n", + " (10, 54),\n", + " (11, 34),\n", + " (11, 38),\n", + " (11, 42),\n", + " (12, 0),\n", + " (12, 2),\n", + " (12, 16),\n", + " (12, 22),\n", + " (12, 35),\n", + " (12, 46),\n", + " (13, 14),\n", + " (13, 31),\n", + " (13, 37),\n", + " (13, 39),\n", + " (13, 41),\n", + " (13, 54),\n", + " (14, 1),\n", + " (14, 25),\n", + " (14, 30),\n", + " (14, 46),\n", + " (14, 51),\n", + " (15, 30),\n", + " (15, 41),\n", + " (15, 51),\n", + " (15, 52),\n", + " (15, 55),\n", + " (16, 12),\n", + " (16, 23),\n", + " (16, 48),\n", + " (17, 6),\n", + " (17, 12),\n", + " (17, 13),\n", + " (17, 15),\n", + " (17, 27),\n", + " (18, 26),\n", + " (18, 35),\n", + " (19, 2),\n", + " (19, 11),\n", + " (19, 18),\n", + " (19, 26),\n", + " (19, 31),\n", + " (19, 45),\n", + " (20, 16),\n", + " (20, 23),\n", + " (20, 24),\n", + " (20, 51),\n", + " (20, 54),\n", + " (20, 55),\n", + " (21, 16),\n", + " (21, 29),\n", + " (21, 40),\n", + " (21, 42),\n", + " (22, 2),\n", + " (22, 8),\n", + " (22, 26),\n", + " (22, 48),\n", + " (22, 51),\n", + " (23, 0),\n", + " (23, 2),\n", + " (23, 12),\n", + " (23, 21),\n", + " (23, 48),\n", + " (23, 52),\n", + " (24, 0),\n", + " (24, 1),\n", + " (24, 16),\n", + " (24, 55)],\n", + " 'n': [(0, 46),\n", + " (0, 52),\n", + " (1, 20),\n", + " (1, 33),\n", + " (1, 39),\n", + " (2, 19),\n", + " (2, 20),\n", + " (2, 24),\n", + " (2, 25),\n", + " (2, 33),\n", + " (2, 38),\n", + " (2, 40),\n", + " (2, 48),\n", + " (2, 49),\n", + " (3, 4),\n", + " (3, 36),\n", + " (3, 40),\n", + " (4, 8),\n", + " (4, 9),\n", + " (4, 22),\n", + " (4, 44),\n", + " (4, 49),\n", + " (5, 24),\n", + " (5, 40),\n", + " (6, 20),\n", + " (6, 36),\n", + " (6, 41),\n", + " (6, 54),\n", + " (6, 55),\n", + " (7, 22),\n", + " (8, 13),\n", + " (8, 23),\n", + " (8, 35),\n", + " (8, 47),\n", + " (9, 13),\n", + " (9, 25),\n", + " (9, 32),\n", + " (9, 46),\n", + " (9, 49),\n", + " (10, 3),\n", + " (10, 23),\n", + " (10, 27),\n", + " (10, 31),\n", + " (10, 35),\n", + " (10, 39),\n", + " (10, 44),\n", + " (10, 51),\n", + " (11, 6),\n", + " (11, 52),\n", + " (12, 4),\n", + " (12, 5),\n", + " (12, 8),\n", + " (12, 25),\n", + " (12, 32),\n", + " (12, 42),\n", + " (12, 47),\n", + " (13, 21),\n", + " (13, 25),\n", + " (13, 36),\n", + " (13, 40),\n", + " (13, 55),\n", + " (14, 12),\n", + " (14, 18),\n", + " (15, 20),\n", + " (15, 32),\n", + " (15, 46),\n", + " (16, 18),\n", + " (16, 22),\n", + " (16, 34),\n", + " (16, 36),\n", + " (17, 7),\n", + " (17, 21),\n", + " (17, 22),\n", + " (17, 40),\n", + " (17, 47),\n", + " (17, 53),\n", + " (17, 54),\n", + " (18, 22),\n", + " (18, 32),\n", + " (18, 33),\n", + " (18, 44),\n", + " (18, 46),\n", + " (19, 1),\n", + " (19, 5),\n", + " (19, 12),\n", + " (19, 20),\n", + " (19, 48),\n", + " (19, 55),\n", + " (20, 3),\n", + " (20, 18),\n", + " (20, 26),\n", + " (21, 0),\n", + " (21, 8),\n", + " (21, 26),\n", + " (21, 45),\n", + " (21, 49),\n", + " (22, 18),\n", + " (22, 20),\n", + " (22, 45),\n", + " (22, 55),\n", + " (23, 5),\n", + " (23, 8),\n", + " (23, 16),\n", + " (23, 32),\n", + " (23, 33),\n", + " (24, 22),\n", + " (24, 40),\n", + " (24, 45)],\n", + " 's': [(0, 20),\n", + " (0, 25),\n", + " (1, 6),\n", + " (1, 14),\n", + " (1, 28),\n", + " (1, 54),\n", + " (2, 0),\n", + " (2, 7),\n", + " (2, 17),\n", + " (2, 32),\n", + " (2, 41),\n", + " (2, 42),\n", + " (3, 6),\n", + " (3, 16),\n", + " (3, 17),\n", + " (3, 26),\n", + " (3, 47),\n", + " (3, 48),\n", + " (4, 11),\n", + " (4, 20),\n", + " (5, 2),\n", + " (5, 27),\n", + " (5, 34),\n", + " (5, 41),\n", + " (6, 1),\n", + " (6, 8),\n", + " (7, 1),\n", + " (7, 27),\n", + " (7, 30),\n", + " (7, 34),\n", + " (7, 44),\n", + " (7, 52),\n", + " (7, 55),\n", + " (8, 8),\n", + " (8, 14),\n", + " (8, 55),\n", + " (9, 6),\n", + " (9, 23),\n", + " (9, 38),\n", + " (9, 44),\n", + " (9, 48),\n", + " (9, 55),\n", + " (10, 9),\n", + " (11, 20),\n", + " (11, 21),\n", + " (11, 36),\n", + " (12, 1),\n", + " (12, 15),\n", + " (12, 41),\n", + " (12, 50),\n", + " (13, 44),\n", + " (13, 46),\n", + " (13, 52),\n", + " (14, 26),\n", + " (14, 36),\n", + " (15, 1),\n", + " (15, 7),\n", + " (15, 14),\n", + " (15, 18),\n", + " (15, 34),\n", + " (15, 43),\n", + " (16, 17),\n", + " (16, 42),\n", + " (18, 3),\n", + " (18, 6),\n", + " (18, 19),\n", + " (18, 20),\n", + " (18, 27),\n", + " (18, 31),\n", + " (19, 4),\n", + " (19, 7),\n", + " (19, 10),\n", + " (19, 14),\n", + " (19, 33),\n", + " (19, 41),\n", + " (19, 51),\n", + " (20, 20),\n", + " (21, 11),\n", + " (22, 11),\n", + " (22, 14),\n", + " (22, 15),\n", + " (22, 33),\n", + " (22, 34),\n", + " (22, 36),\n", + " (24, 9),\n", + " (24, 34),\n", + " (24, 41),\n", + " (24, 43)],\n", + " 'p': [(0, 35),\n", + " (0, 43),\n", + " (0, 44),\n", + " (3, 20),\n", + " (3, 46),\n", + " (4, 1),\n", + " (4, 28),\n", + " (5, 1),\n", + " (5, 51),\n", + " (6, 7),\n", + " (6, 35),\n", + " (6, 49),\n", + " (7, 43),\n", + " (8, 27),\n", + " (10, 53),\n", + " (11, 30),\n", + " (14, 44),\n", + " (15, 15),\n", + " (15, 23),\n", + " (15, 45),\n", + " (17, 0),\n", + " (17, 1),\n", + " (18, 12),\n", + " (18, 14),\n", + " (18, 49),\n", + " (18, 54),\n", + " (21, 34),\n", + " (22, 1),\n", + " (22, 16),\n", + " (22, 39),\n", + " (22, 46),\n", + " (24, 3),\n", + " (24, 15),\n", + " (24, 52)],\n", + " 'v': [(1, 36),\n", + " (1, 48),\n", + " (1, 55),\n", + " (3, 8),\n", + " (3, 21),\n", + " (5, 43),\n", + " (5, 46),\n", + " (5, 49),\n", + " (6, 10),\n", + " (6, 47),\n", + " (10, 17),\n", + " (11, 46),\n", + " (11, 55),\n", + " (15, 10),\n", + " (15, 36),\n", + " (16, 21),\n", + " (16, 51),\n", + " (18, 15),\n", + " (18, 18),\n", + " (19, 6),\n", + " (21, 23),\n", + " (23, 25),\n", + " (23, 31),\n", + " (24, 32)],\n", + " 'h': [(0, 12),\n", + " (0, 24),\n", + " (0, 26),\n", + " (0, 30),\n", + " (1, 42),\n", + " (1, 45),\n", + " (2, 4),\n", + " (2, 27),\n", + " (2, 29),\n", + " (2, 30),\n", + " (3, 49),\n", + " (3, 52),\n", + " (5, 30),\n", + " (6, 5),\n", + " (6, 21),\n", + " (6, 30),\n", + " (6, 42),\n", + " (7, 38),\n", + " (7, 48),\n", + " (7, 51),\n", + " (8, 30),\n", + " (8, 34),\n", + " (9, 18),\n", + " (9, 50),\n", + " (10, 11),\n", + " (10, 32),\n", + " (11, 10),\n", + " (11, 11),\n", + " (11, 43),\n", + " (12, 7),\n", + " (12, 17),\n", + " (12, 19),\n", + " (12, 20),\n", + " (12, 29),\n", + " (12, 34),\n", + " (13, 6),\n", + " (13, 23),\n", + " (13, 27),\n", + " (14, 15),\n", + " (15, 24),\n", + " (15, 28),\n", + " (16, 0),\n", + " (16, 3),\n", + " (16, 20),\n", + " (18, 42),\n", + " (18, 45),\n", + " (19, 44),\n", + " (19, 53),\n", + " (20, 38),\n", + " (21, 9),\n", + " (21, 41),\n", + " (22, 28),\n", + " (23, 1),\n", + " (23, 49),\n", + " (24, 10),\n", + " (24, 31)],\n", + " 'e': [(0, 4),\n", + " (0, 17),\n", + " (0, 21),\n", + " (0, 39),\n", + " (0, 50),\n", + " (0, 53),\n", + " (0, 55),\n", + " (1, 10),\n", + " (1, 11),\n", + " (1, 18),\n", + " (1, 22),\n", + " (1, 32),\n", + " (1, 40),\n", + " (1, 49),\n", + " (1, 51),\n", + " (1, 52),\n", + " (2, 2),\n", + " (2, 16),\n", + " (2, 46),\n", + " (2, 50),\n", + " (2, 51),\n", + " (2, 55),\n", + " (3, 5),\n", + " (3, 12),\n", + " (3, 30),\n", + " (3, 33),\n", + " (3, 42),\n", + " (4, 5),\n", + " (4, 7),\n", + " (4, 10),\n", + " (4, 19),\n", + " (4, 31),\n", + " (4, 42),\n", + " (4, 43),\n", + " (5, 6),\n", + " (5, 16),\n", + " (5, 17),\n", + " (5, 18),\n", + " (5, 25),\n", + " (5, 38),\n", + " (5, 54),\n", + " (5, 55),\n", + " (6, 9),\n", + " (6, 11),\n", + " (6, 12),\n", + " (6, 15),\n", + " (6, 22),\n", + " (6, 25),\n", + " (6, 34),\n", + " (6, 44),\n", + " (6, 52),\n", + " (7, 4),\n", + " (7, 7),\n", + " (7, 8),\n", + " (7, 9),\n", + " (7, 26),\n", + " (7, 31),\n", + " (7, 35),\n", + " (7, 47),\n", + " (8, 10),\n", + " (8, 26),\n", + " (8, 32),\n", + " (8, 40),\n", + " (8, 42),\n", + " (8, 43),\n", + " (8, 50),\n", + " (8, 51),\n", + " (8, 52),\n", + " (8, 54),\n", + " (9, 0),\n", + " (9, 1),\n", + " (9, 2),\n", + " (9, 10),\n", + " (9, 16),\n", + " (9, 24),\n", + " (9, 36),\n", + " (9, 41),\n", + " (9, 43),\n", + " (9, 51),\n", + " (10, 2),\n", + " (10, 7),\n", + " (10, 16),\n", + " (10, 43),\n", + " (11, 3),\n", + " (11, 8),\n", + " (11, 16),\n", + " (11, 19),\n", + " (11, 22),\n", + " (11, 29),\n", + " (11, 35),\n", + " (11, 45),\n", + " (11, 47),\n", + " (11, 51),\n", + " (11, 54),\n", + " (12, 9),\n", + " (12, 12),\n", + " (12, 26),\n", + " (12, 36),\n", + " (12, 37),\n", + " (12, 38),\n", + " (12, 39),\n", + " (12, 43),\n", + " (12, 44),\n", + " (12, 48),\n", + " (12, 51),\n", + " (13, 2),\n", + " (13, 19),\n", + " (13, 26),\n", + " (13, 45),\n", + " (13, 47),\n", + " (14, 11),\n", + " (14, 29),\n", + " (14, 31),\n", + " (14, 32),\n", + " (14, 50),\n", + " (14, 53),\n", + " (14, 55),\n", + " (15, 21),\n", + " (16, 2),\n", + " (16, 6),\n", + " (16, 10),\n", + " (16, 13),\n", + " (16, 30),\n", + " (16, 35),\n", + " (16, 37),\n", + " (17, 5),\n", + " (17, 17),\n", + " (17, 19),\n", + " (17, 24),\n", + " (17, 25),\n", + " (17, 35),\n", + " (17, 52),\n", + " (18, 24),\n", + " (18, 34),\n", + " (18, 53),\n", + " (19, 13),\n", + " (19, 19),\n", + " (19, 29),\n", + " (19, 30),\n", + " (19, 47),\n", + " (20, 1),\n", + " (20, 5),\n", + " (20, 12),\n", + " (20, 13),\n", + " (20, 25),\n", + " (20, 37),\n", + " (21, 2),\n", + " (21, 3),\n", + " (21, 15),\n", + " (21, 20),\n", + " (21, 22),\n", + " (21, 24),\n", + " (21, 35),\n", + " (21, 46),\n", + " (21, 53),\n", + " (21, 54),\n", + " (22, 10),\n", + " (22, 21),\n", + " (22, 22),\n", + " (22, 49),\n", + " (22, 50),\n", + " (23, 17),\n", + " (23, 23),\n", + " (23, 34),\n", + " (23, 35),\n", + " (23, 44),\n", + " (23, 50),\n", + " (23, 51),\n", + " (23, 54),\n", + " (24, 2),\n", + " (24, 11),\n", + " (24, 12),\n", + " (24, 18),\n", + " (24, 21),\n", + " (24, 28),\n", + " (24, 33)]}" + ] + } + ], + "prompt_number": 21 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "keycolumn = make_cadenus_keycolumn(reverse=True)\n", + "inverse_keycolumn = {v: l for l, v in keycolumn.items()}\n", + "inverse_keycolumn" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 22, + "text": [ + "{0: 'a',\n", + " 1: 'z',\n", + " 2: 'y',\n", + " 3: 'x',\n", + " 4: 'w',\n", + " 5: 'u',\n", + " 6: 't',\n", + " 7: 's',\n", + " 8: 'r',\n", + " 9: 'q',\n", + " 10: 'p',\n", + " 11: 'o',\n", + " 12: 'n',\n", + " 13: 'm',\n", + " 14: 'l',\n", + " 15: 'k',\n", + " 16: 'j',\n", + " 17: 'i',\n", + " 18: 'h',\n", + " 19: 'g',\n", + " 20: 'f',\n", + " 21: 'e',\n", + " 22: 'd',\n", + " 23: 'c',\n", + " 24: 'b'}" + ] + } + ], + "prompt_number": 22 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def valid_partial_solution(solution, inverse_keycolumn):\n", + " row_indices = [p[0] for p in sorted(solution, key=lambda x: x[1])]\n", + " row_letters = [inverse_keycolumn[i] for i in row_indices]\n", + " letter_pairs = ngrams(row_letters, 2)\n", + " return all(p[0] <= p[1] for p in letter_pairs)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 23 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "solutions = [[p] for p in letter_positions['p']]\n", + "for letter in 'ha': #'haseseven':\n", + " new_solutions = []\n", + " for solution in solutions:\n", + " used_columns = [p[1] for p in solution]\n", + " for position in letter_positions[letter]:\n", + " if position[1] not in used_columns:\n", + " if valid_partial_solution(solution + [position], inverse_keycolumn):\n", + " new_solutions += [solution + [position]]\n", + " solutions = new_solutions\n", + "len(solutions)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 24, + "text": [ + "43005" + ] + } + ], + "prompt_number": 24 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "valid_partial_solution(solutions[1], inverse_keycolumn)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 25, + "text": [ + "True" + ] + } + ], + "prompt_number": 25 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "display = []\n", + "for p in solutions[1]:\n", + " this_column = columns[p[1]]\n", + " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n", + " display += [rotated_column]\n", + "display_rows = [''.join(r) for r in zip(*display)]\n", + "display_rows" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 26, + "text": [ + "['pha',\n", + " 'ruo',\n", + " 'oll',\n", + " 'rea',\n", + " 'laa',\n", + " 'tut',\n", + " 'pei',\n", + " 'ead',\n", + " 'nrt',\n", + " 'imi',\n", + " 'non',\n", + " 'eie',\n", + " 'aed',\n", + " 'mir',\n", + " 'inl',\n", + " 'lwi',\n", + " 'eah',\n", + " 'eai',\n", + " 'aps',\n", + " 'cnl',\n", + " 'ren',\n", + " 'ege',\n", + " 'xoo',\n", + " 'eau',\n", + " 'uep']" + ] + } + ], + "prompt_number": 26 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def display_solution(solution, columns):\n", + " display = []\n", + " for p in solution:\n", + " this_column = columns[p[1]]\n", + " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n", + " display += [rotated_column]\n", + " return [''.join(r) for r in zip(*display)]" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 27 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "display_solution(solutions[0], columns)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 28, + "text": [ + "['pha',\n", + " 'ruo',\n", + " 'ols',\n", + " 'rer',\n", + " 'lai',\n", + " 'tul',\n", + " 'pei',\n", + " 'eaa',\n", + " 'nro',\n", + " 'ime',\n", + " 'nod',\n", + " 'eid',\n", + " 'aea',\n", + " 'mii',\n", + " 'int',\n", + " 'lwi',\n", + " 'eah',\n", + " 'eap',\n", + " 'apk',\n", + " 'cny',\n", + " 'rew',\n", + " 'egn',\n", + " 'xor',\n", + " 'eaa',\n", + " 'uea']" + ] + } + ], + "prompt_number": 28 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "sum(Ptrigrams(r) for r in display_rows)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 29, + "text": [ + "-109.09171451522874" + ] + } + ], + "prompt_number": 29 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def score_solution(solution, columns):\n", + " display = []\n", + " for p in solution:\n", + " this_column = columns[p[1]]\n", + " rotated_column = this_column[p[0]:] + this_column[:p[0]]\n", + " display += [rotated_column]\n", + " display_rows = [''.join(r) for r in zip(*display)]\n", + " return sum(Ptrigrams(r) for r in display_rows)" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 30 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "[(s, display_solution(s, columns), score_solution(s, columns)) for s in solutions[:10]]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 31, "text": [ - "b'\\x01D\\x02Q\\xd3\\x98\\x053\\xc5\\x0eY&)\\x123<\\x8f8\\x80\\xea\\xc3\\xa2\\xf2\\xc4\\xc4p\\x06\\xf7\\xa5\\xa6\\\\\\xc9\\x16\\x90\\xa4qP\\xe8\\xceC\\x1b\\x88J2B\\x8d\\t\\x16\\x94\\x93X\\x00YN\\xc8#g\\x1a\\xb9\\xcd$O@\\x1e \\xa9\"BNU\\x92\\x08\\xb3\\xad\\xd2\\x98\\xdc\\x05\\xbb\\x00$\\x98\\xd6\\x8d\\x06kbw\\x1c\\xf3\\x93@\\xe4-\\xa2l\\xa4\\x81D\\x80kHD!\\x04\\x8d\\xa6\\x06\\x92Q\\xab\\x8c\\x82#\\x16\\x94\\x86g\\xd5\\xc8\\x02$\\x07\\x00\\x8e\\x01\\x07\\x16\\xa2qm\\xc8\\x83E\\xf2\\x91\\xc03\\x8enC\\xc0\\t\\x92\\xe4kI \\x1a.\\x0c\\xd6IE\\xb1r#\\x87\\x84\\xc4\\x18\\x96\\xb4X\\x0b\\x02\\xc8F\\xa0\\xd1\\x8bm\\x88\\xad\\x0c[\\xe57,\\x85\\x9cF\\xca\\x02(!\\x08\\x84\\x01\\xcbi- 8\\xf1\\x9a\\xe57\\x04\\x93l\\x97R\\xa2\\xa3uf\\xf7\\x00\\x84D\\x84\\x87\\x1d\\x0f\\x91*B\\x0ed\\xb1A\\x16\\x9c\\x81Y\\x00\\xe9\\xb8\\xf3\\x9c\\xc8\\xf6\\x89@sObM\\x95\\xc3\\xe3\\x129\\xad\\x04\\x8c2\\r\\xc4!\\x1c\\x002b@\\xa74\\x15\\xa0\\x1cI(\\xceD\\x8b\\xa4I\\xc4\\xe2@\\xa6\\xf9\\x00\\x04:\\xc6y\\x16\\xf2p\\x1d1L!\\x93\\x88\\x88\\xb6@\\x1a\\xf18\\xc6\\x8d\\x88\\x88\\xf9\\xcc\\xf1%\\x0e\\xd5L\\x02 \\x88E\\xc6\\xcdDHB\\x00\\x92!\\x08\\x81\\xa2N0\\x88\\xe663\"N\\x03\\x002#Q5\\xdaqhX\\x82.@\\x89&IE\\xa6\\x93N@\\xa1\\xd2\\x1a\\x08\\xd0\\x15dD\\x80w\\t\\x05%XPL\\r\\x04\\xe2\\xd4\\x00\\xcd8&\\xd6 -E\\nF\\xc6n\\x9c\\xe2\\xdc<\\x08\\x1e\\x10C\\r\\xac$Nt:q$\\xc4IH\\x88X\\xe2\\x11\\x11\\xf1A\\x80I8\\x03\\\\\\xc0t\\x12\\xa4\\x0cDF\\xac\\x95\\x04\\x806\\xb6gi\\x112!\\x12\\x01\\xe8s\\xd0\\x0csH\\\\\\x1dnm\\x8e\\x02\\x10\\x84t\\x9aB`\\r\"$I\\xb8\\xd8D\\xc9\\x15\\xa0\\xf3\\x13\\x10\\xe4D\\x11(\\xdcI\\xb5\\x07\\x9bHt!@dF\\xc6\\x80`h\\x1c9\\x12DF\\x04\\xb9 \\r\\x98\\x1c\\xb9\\x89\\x18b\\x06F\\xceg\\\\\\xda;\\xces`$\\x15\\x90\\x04$\\xd6\\x89\"3\\xb4\\xe9\\x17\\x94\\x08\\\\\\xc8\\x07\\x10\\xa4D\\x90\\x84a\\x12B\\xab;\"O\\x88d\\x86\\x91o d1\n", + " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)).startswith('phaseseven')]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 45, + "text": [ + "[]" + ] + } + ], + "prompt_number": 45 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "[(w, s, d1+d2, r, cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)))\n", + " for w in hinted_keywords \n", + " for d1 in string.ascii_lowercase[:25]\n", + " for d2 in string.ascii_lowercase\n", + " for s in string.ascii_lowercase \n", + " for r in [True, False]\n", + " if d2 > d1\n", + " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+d2, start=s, reverse=r)).startswith('phase')]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 53, + "text": [ + "[('filbert',\n", + " 'm',\n", + " 'lu',\n", + " False,\n", + " 'phasennrkmffnhignsdaaojsrcisrncheentoeetueweisvhsounsucoaleyrhreitdioseotototdhsoagreeysifaglenhtlhonriuelseairscnrteameteiwnntneefefcrartataieposrlandrlvtartalvhctofnorehdpro'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'lm',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'lq',\n", + " True,\n", + " 'phaseoeeeesnnufleyehhdoddraccseoeshengoenotthsaeovnlnesgurcrnofriearrtiatttsutacihtracaearaielrmanhhtpnleikhdseaigrtcssejpoemlwnrdinlfoisnfnteofetrourstrnrltrtvnaiwhsvafooeyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'lr',\n", + " True,\n", + " 'phaseoeeeeynnufledehhdodoraccseoeshengsenotthnaeovnlresgurcanofrietrrtiatitsutacehtracararaielpmanhhtdnleikhtseaigrocssejpdemlwnrsinlfoifnfnteosetrourrtrnrlthtvnaiwesvafoosyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'lw',\n", + " True,\n", + " 'phaseoeeeennnuflerehhdodaraccseteshengienottheaeovnlresgurcpnofriedrrtiatttsutacohtracadaraielsmanhhtfnleikhsseaigrrcssejphemlwnreinlfoisnfnteosetrourytrnrltdtvnaiwosvafoooyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mn',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mo',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mp',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mq',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mr',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'ms',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mt',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mu',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mv',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mw',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mx',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'my',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'mz',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'no',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'np',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nq',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nr',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'ns',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nt',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nu',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nv',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nw',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nx',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'ny',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('foolerys',\n", + " 'z',\n", + " 'nz',\n", + " True,\n", + " 'phaseoeeeernnuflehehhdoderaccseseshengsenotthyaeovnldesgurconofrieorrtiatstsutacnhtracararaielamanhhttnleikhiseaigrecssejpremlwnrpinlfoidnfnteotetrourotrnrltdtvnaiwssvafoofyoi'),\n", + " ('filleting',\n", + " 'm',\n", + " 'lu',\n", + " False,\n", + " 'phasentekmysrhfgndmnrdjsonnpcncofareoestiiteinreovunrvuruleavhtrittocwiotiohothsenoaaeyrhoeilepagehondsfdisetnteinroeugetedsrhwnesoalfrafrnctiesseeoanrtatrarhrscactealafehslll')]" + ] + } + ], + "prompt_number": 53 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "[(w, s, d1+chr(ord(d1)+1), r)\n", + " for w in hinted_keywords \n", + " for d1 in string.ascii_lowercase[:25]\n", + " # for d2 in string.ascii_lowercase\n", + " for s in string.ascii_lowercase \n", + " for r in [True, False]\n", + " # if d2 > d1\n", + " if cadenus_decipher(first_chunk, w, make_cadenus_keycolumn(doubled_letters=d1+chr(ord(d1)+1), start=s, reverse=r)).startswith('phases')]" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 46, + "text": [ + "[]" + ] + } + ], + "prompt_number": 46 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "cadenus_decipher(first_chunk, 'filbert', make_cadenus_keycolumn(doubled_letters='lu', start='m', reverse=False))" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 52, + "text": [ + "'phasennrkmffnhignsdaaojsrcisrncheentoeetueweisvhsounsucoaleyrhreitdioseotototdhsoagreeysifaglenhtlhonriuelseairscnrteameteiwnntneefefcrartataieposrlandrlvtartalvhctofnorehdpro'" + ] + } + ], + "prompt_number": 52 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "chunks(first_chunk, 175)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 48, + "text": [ + "['afcaeuottacthrioletcserthshtrahkyorpfrgeoadppjnglternefeofiortsddoeeumscruernfetlaafstwientrvoonerhuahravereetsvsielhlostdoaloyaesmnndignnrhohhtsnaoilncnssicreanneeiiierwtanes']" + ] + } + ], + "prompt_number": 48 }, { "cell_type": "code", @@ -2022,7 +5176,8 @@ "input": [], "language": "python", "metadata": {}, - "outputs": [] + "outputs": [], + "prompt_number": 48 } ], "metadata": {}