{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "instant-horizontal",
   "metadata": {},
   "outputs": [],
   "source": [
    "def next_generation(fs):\n",
    "    fs = {k-1:v for k, v in fs.items()}\n",
    "    fs[6] += fs[-1]\n",
    "    fs[8] = fs[-1]\n",
    "    fs[-1] = 0\n",
    "    return fs\n",
    "\n",
    "def nth_generation(fs, n):\n",
    "    for _ in range(n):\n",
    "        fs = next_generation(fs)\n",
    "    return fs\n",
    "\n",
    "def fish(l):\n",
    "    fs = {i:0 for i in range(9)}\n",
    "    for d in l:\n",
    "        fs[d] = fs[d] + 1\n",
    "    return fs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "ranking-consideration",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5934"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = fish([3,4,3,1,2])\n",
    "fs = nth_generation(fs, 80)\n",
    "sum(fs.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "neural-print",
   "metadata": {},
   "outputs": [],
   "source": [
    "import import_ipynb\n",
    "import helper\n",
    "s = helper.read_file('2021_6.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "searching-heading",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "372300"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = map(int, s.rstrip().split(','))\n",
    "fs = fish(fs)\n",
    "fs = nth_generation(fs, 80)\n",
    "sum(fs.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "hazardous-congo",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1675781200288"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fs = map(int, s.rstrip().split(','))\n",
    "fs = fish(fs)\n",
    "fs = nth_generation(fs, 256)\n",
    "sum(fs.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "civilian-lancaster",
   "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": "3.9.2"
  },
  "title": "Lanternfish"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}