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pydarc/darc_substitution.ipynb

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{
"cells": [
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2024-08-02T22:22:16.261963Z",
"start_time": "2024-08-02T22:22:15.861856Z"
}
},
"source": "from src.models import SubstitutionKey\n",
"outputs": [],
"execution_count": 2
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-08-02T22:22:16.442689Z",
"start_time": "2024-08-02T22:22:16.434147Z"
}
},
"cell_type": "code",
"source": [
"width = 7\n",
"height = 10\n",
"s1 = SubstitutionKey.init_matrix(width, height)\n",
"s2 = SubstitutionKey.init_matrix(width, height)\n",
"s3 = SubstitutionKey.init_matrix(width, height)\n",
"\n",
"c1 = SubstitutionKey.init_matrix(width, height)\n",
"c2 = SubstitutionKey.init_matrix(width, height)\n",
"c3 = SubstitutionKey.init_matrix(width, height)\n",
"\n",
"m1 = SubstitutionKey.init_matrix(width, height)\n",
"m2 = SubstitutionKey.init_matrix(width, height)\n",
"m3 = SubstitutionKey.init_matrix(width, height)\n",
"m4 = SubstitutionKey.init_matrix(width, height)\n",
"m5 = SubstitutionKey.init_matrix(width, height)\n",
"\n",
"s_m1 = s1 ^ m4\n",
"c_m1 = c1 ^ m4\n",
"s_m4 = s1 ^ m5\n",
"c_m4 = c1 ^ m5\n",
"\n",
"m_c1 = SubstitutionKey.init_matrix(width, height)\n",
"m_s1 = SubstitutionKey.init_matrix(width, height) \n",
"\n",
"m_s2 = m1 ^ m_c1\n",
"m_c2 = m1 ^ m_s1\n",
"\n",
"s_m3 = m_s2 ^ s2 ^ m3\n",
"s_m2 = m1 ^ s2 ^ m2 ^ m_s1\n",
"c_m2 = m_c2 ^ c2 ^ m2\n",
"c_m3 = m1 ^ m_c1 ^ c2 ^ m3\n"
],
"id": "58883d386ec57cc4",
"outputs": [],
"execution_count": 3
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": "",
"id": "2e1b925a48925228"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}