{ "cells": [ { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Used: ['651', '774', '607']\n", "Now: 691\n" ] } ], "source": [ "import os\n", "import random\n", "\n", "used = \"used.txt\"\n", "if not os.path.exists(used):\n", " open(used, \"w+\").close()\n", "\n", "with open(used, \"r+\", encoding=\"utf8\") as f:\n", " used_problems = f.readlines()\n", " used_problems = [u.strip(\"\\n\") for u in used_problems]\n", " print(\"Used:\", used_problems)\n", "\n", " r = [i for i in range(1, 1040)]\n", " r = [i for i in r if str(i) not in used_problems]\n", " random.shuffle(r)\n", " now = None\n", " if len(r) == 0:\n", " print(\"All done!\")\n", " exit(0)\n", " elif len(r) == 1:\n", " now = r[0]\n", " else:\n", " now = random.choice(r)\n", " print(\"Now:\", now)\n", " f.write(str(now) + \"\\n\")" ] } ], "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }