{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "297093bf-b2ad-4645-935b-b2adea775c55",
   "metadata": {},
   "source": [
    "### Part 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "129613b8-f732-4f41-a745-edf2c979b213",
   "metadata": {},
   "outputs": [],
   "source": [
    "def item_priority(item: str) -> int:\n",
    "    if item.isupper():\n",
    "        return ord(item) - 38\n",
    "    else:\n",
    "        return ord(item) - 96\n",
    "\n",
    "def string_halves(string: str) -> [str, str]:\n",
    "    length = int(len(string) / 2)\n",
    "    first_part = string[:length]\n",
    "    second_part = string[length:]\n",
    "    return first_part, second_part"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "069cad24-9cd2-4d1a-bfa5-f265fa578909",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7795"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"aoc3_input.txt\", \"r\") as f:\n",
    "    sum_priority = 0\n",
    "    for rucksack in f:\n",
    "        comp1, comp2 = map(set, string_halves(rucksack.strip()))\n",
    "        intrsct = comp1.intersection(comp2)\n",
    "        sum_priority += sum(map(item_priority, intrsct))\n",
    "\n",
    "sum_priority"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86d642f4-2504-42c0-a703-2dc063810a2c",
   "metadata": {},
   "source": [
    "### Part 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "921090d1-2d2b-4161-aad2-23af1b358645",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2703"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open(\"aoc3_input.txt\", \"r\") as f:\n",
    "    sum_badge_priority = 0\n",
    "    for r1 in f:\n",
    "        r1 = set(r1.strip())\n",
    "        r2, r3 = set(next(f).strip()), set(next(f).strip())\n",
    "        sum_badge_priority += sum(map(item_priority, r1.intersection(r2).intersection(r3)))\n",
    "\n",
    "sum_badge_priority"
   ]
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
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   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "pygments_lexer": "ipython3",
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