{
"cell_type": "code",
"execution_count": 1,
- "metadata": {
- "collapsed": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"import os,sys,inspect\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
- "from cipherbreak import *\n",
+ "from cipher.keyword_cipher import *\n",
+ "from support.utilities import *\n",
+ "from support.text_prettify import *\n",
"\n",
"c3a = open('3a.ciphertext').read()\n",
"c3b = open('3b.ciphertext').read()"
},
{
"cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 2,
+ "metadata": {},
"outputs": [
{
"data": {
"(('weston', <KeywordWrapAlphabet.from_largest: 3>), -1706.5657011593255)"
]
},
- "execution_count": 10,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 3,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
},
{
"cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 4,
+ "metadata": {},
"outputs": [
{
"data": {
"(('neural', <KeywordWrapAlphabet.from_largest: 3>), -1476.8535205989874)"
]
},
- "execution_count": 13,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
},
{
"cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
+ "execution_count": 5,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2"
+ "version": "3.6.3"
}
},
"nbformat": 4,