{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# What does is take to compromise a users nKode in the worst case scenario?\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [],
   "source": [
    "def compute_time_to_crack_hash(\n",
    "        num_of_attributes: int,\n",
    "        nkode_len,\n",
    "        secs_per_hash: float = 0.5,\n",
    ") -> list[float, float]:\n",
    "    secs_to_days = 1/(60*60*24)\n",
    "    secs_to_years = secs_to_days / 365\n",
    "    total_secs_to_compute_half_of_hashes = num_of_attributes ** nkode_len * secs_per_hash * 0.5\n",
    "    return [round(total_secs_to_compute_half_of_hashes * secs_to_days, 2), round(total_secs_to_compute_half_of_hashes * secs_to_years, 2)]\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-26T15:29:35.667921Z",
     "start_time": "2024-07-26T15:29:35.664278Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "def matrix_to_md_table(col_names: list[str], mat: list[list[any]]) -> str:\n",
    "    assert len(col_names) == len(mat[0])\n",
    "    numb_cols = len(col_names)\n",
    "    table = \"|\" + \"|\".join(col_names) + \"|\\n\"\n",
    "    table += \"|\" + \"|\".join(['-' for _ in range(numb_cols)]) + \"|\\n\"\n",
    "    for row in mat:\n",
    "        table += \"|\" + \"|\".join([str(el) for el in row]) + \"|\\n\"\n",
    "    return table"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-27T18:42:04.980503Z",
     "start_time": "2024-07-27T18:42:04.976703Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|number of attributes|nkode length|days to crack|years to crack|\n",
      "|-|-|-|-|\n",
      "|9|4|0.02|0.0|\n",
      "|9|5|0.17|0.0|\n",
      "|9|6|1.54|0.0|\n",
      "|9|7|13.84|0.04|\n",
      "|9|8|124.56|0.34|\n",
      "|9|9|1121.01|3.07|\n",
      "|9|10|10089.08|27.64|\n",
      "|10|4|0.03|0.0|\n",
      "|10|5|0.29|0.0|\n",
      "|10|6|2.89|0.01|\n",
      "|10|7|28.94|0.08|\n",
      "|10|8|289.35|0.79|\n",
      "|10|9|2893.52|7.93|\n",
      "|10|10|28935.19|79.27|\n",
      "|11|4|0.04|0.0|\n",
      "|11|5|0.47|0.0|\n",
      "|11|6|5.13|0.01|\n",
      "|11|7|56.39|0.15|\n",
      "|11|8|620.25|1.7|\n",
      "|11|9|6822.77|18.69|\n",
      "|11|10|75050.42|205.62|\n",
      "|12|4|0.06|0.0|\n",
      "|12|5|0.72|0.0|\n",
      "|12|6|8.64|0.02|\n",
      "|12|7|103.68|0.28|\n",
      "|12|8|1244.16|3.41|\n",
      "|12|9|14929.92|40.9|\n",
      "|12|10|179159.04|490.85|\n",
      "|13|4|0.08|0.0|\n",
      "|13|5|1.07|0.0|\n",
      "|13|6|13.97|0.04|\n",
      "|13|7|181.56|0.5|\n",
      "|13|8|2360.33|6.47|\n",
      "|13|9|30684.32|84.07|\n",
      "|13|10|398896.1|1092.87|\n",
      "|14|4|0.11|0.0|\n",
      "|14|5|1.56|0.0|\n",
      "|14|6|21.79|0.06|\n",
      "|14|7|305.02|0.84|\n",
      "|14|8|4270.22|11.7|\n",
      "|14|9|59783.12|163.79|\n",
      "|14|10|836963.7|2293.05|\n",
      "|15|4|0.15|0.0|\n",
      "|15|5|2.2|0.01|\n",
      "|15|6|32.96|0.09|\n",
      "|15|7|494.38|1.35|\n",
      "|15|8|7415.77|20.32|\n",
      "|15|9|111236.57|304.76|\n",
      "|15|10|1668548.58|4571.37|\n",
      "\n"
     ]
    }
   ],
   "source": [
    "time_to_crack = []\n",
    "for num_attr in range(9, 16):\n",
    "    for nkod_len in range(4, 11):\n",
    "        hash_crack = [num_attr, nkod_len]\n",
    "        hash_crack.extend(compute_time_to_crack_hash(num_attr, nkod_len))\n",
    "        time_to_crack.append(hash_crack)\n",
    "\n",
    "hash_crack_md = matrix_to_md_table([\"number of attributes\", \"nkode length\", \"days to crack\", \"years to crack\"], time_to_crack)\n",
    "\n",
    "\n",
    "print(hash_crack_md)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-07-27T18:43:31.002026Z",
     "start_time": "2024-07-27T18:43:30.997876Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": "",
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "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": 0
}