{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bridal-lightning",
   "metadata": {},
   "outputs": [],
   "source": [
    "def count(f):\n",
    "    increased = 0 \n",
    "    prev_m = None \n",
    "\n",
    "    for l in f: \n",
    "        i = int(l.rstrip()) \n",
    "        if prev_m is None: \n",
    "            prev_m = i \n",
    "            continue \n",
    "        if i > prev_m: \n",
    "            increased += 1 \n",
    "\n",
    "        prev_m = i\n",
    "        \n",
    "    return increased\n",
    "\n",
    "\n",
    "def count_window(f):\n",
    "    increased = 0 \n",
    "    window = [] \n",
    "\n",
    "    for l in f:\n",
    "        i = int(l.rstrip()) \n",
    "        if len(window) < 3: \n",
    "            window.append(i) \n",
    "            continue \n",
    "\n",
    "        if sum(window[1:]) + i > sum(window): \n",
    "            increased += 1 \n",
    "\n",
    "        window.pop(0) \n",
    "        window.append(i)\n",
    "        \n",
    "    return increased"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "unsigned-sterling",
   "metadata": {},
   "outputs": [],
   "source": [
    "import import_ipynb\n",
    "import helper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "angry-richards",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1759"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count(helper.open_file('2021_1.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "authentic-berkeley",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1805"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_window(helper.open_file('2021_1.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "average-disclosure",
   "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": "Sonar Sweep"
 },
 "nbformat": 4,
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}