Storage.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "keysizes = \"\"\"\n",
    "rsasha1.example|1701\n",
    "rsasha256.example|1703\n",
    "rsasha512.example|1704\n",
    "ecdsa256.example|114\n",
    "ecdsa384.example|134\n",
    "ed25519.example|106\n",
    "ed448.example|136\n",
    "falcon.example|2977\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame([\n",
    "    {\n",
    "        'algorithm': s.split('.')[0],\n",
    "        'size': int(s.split('|')[1]),\n",
    "    }\n",
    "    for s in keysizes.split('\\n') if s\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.set(font_scale=2)\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "ALGORITHMS = {\n",
    "    5: \"rsasha1\", 8: \"rsasha256\", 10: \"rsasha512\",  # pdns also supports 7: \"rsasha1-nsec3-sha1\",\n",
    "    13: \"ecdsa256\", 14: \"ecdsa384\",\n",
    "    15: \"ed25519\", 16: \"ed448\",\n",
    "    17: \"falcon\",\n",
    "}\n",
    "ALGORITHM_COLORS = {\n",
    "    \"rsasha1\": \"#ff0000\", \"rsasha256\": \"#dd0000\", \"rsasha512\": \"#bb0000\",\n",
    "    \"ecdsa256\": \"#00ff00\", \"ecdsa384\": \"#00dd00\",\n",
    "    \"ed25519\": \"#0000ff\", \"ed448\": \"#0000dd\",\n",
    "    \"falcon\": \"#00ffff\",\n",
    "}\n",
    "ALGORITHM_ORDER = list(ALGORITHM_COLORS.keys())\n",
    "ALGORITHM_PALETTE = sns.color_palette([ALGORITHM_COLORS[a] for a in ALGORITHM_ORDER])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f39620eb4c0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(\n",
    "    data=data,\n",
    "    x='size',\n",
    "    y='algorithm',\n",
    "    hue_order=ALGORITHM_ORDER, palette=ALGORITHM_PALETTE,\n",
    "    kind='bar',\n",
    "    height=8,\n",
    "    aspect=18/8,\n",
    ")\n",
    "g.set(\n",
    "    ylabel='Algorithm',\n",
    "    xlabel='Database Key Storage Size [byte]',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}