{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Custom encoding table.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import string\n",
    "encoding_table = string.ascii_letters\n",
    "et_len = len(encoding_table)\n",
    "\n",
    "def short_id(value:int) -> str:       \n",
    "    t = []\n",
    "    while True:\n",
    "        result = value // et_len\n",
    "        remainder = value - (result * et_len)\n",
    "        value = result\n",
    "        t.append(encoding_table[remainder])\n",
    "        if value == 0:\n",
    "            break\n",
    "    return \"\".join(t[::-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ApJKSp'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "short_id(9999999999)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.5 ('pages310')",
   "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": "3.10.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "6f432a2729e41e111fc68229d0303145971e0c11421dc22cdb03f95edd20be36"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}