{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "11aa5518",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "def random_request():\n",
    "    \"generates a single random request\"\n",
    "    return sorted(random.sample(range(0,100), 2))\n",
    "\n",
    "def make_requests(n):\n",
    "    \"generates n random requests\"\n",
    "    # slower version\n",
    "    #requests = []\n",
    "    #for i in range(n):\n",
    "    #    requests.append(random_request())\n",
    "    #return requests\n",
    "    # faster version:\n",
    "    return [random_request() for i in range(n)]\n",
    "\n",
    "def greedy_solution(requests):\n",
    "    \"\"\"\n",
    "    input is a set of requests, output is the\n",
    "    greedy solution where best = earliest end\n",
    "    time\n",
    "    \"\"\"\n",
    "    sorted_requests = sorted(requests, key=lambda x : x[1])\n",
    "    \n",
    "    solution = []\n",
    "    solution.append(sorted_requests.pop(0))\n",
    "    # when you call L.pop(i) for a list L, it removes\n",
    "    # the element at index i and returns it for you\n",
    "    \n",
    "    # TODO: remove conflicts with this chosen meeting\n",
    "    # and repeat until there are no sorted_requests\n",
    "    # left"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "274ea735",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[39, 73], [29, 55], [4, 88]]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_requests(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "712c9513",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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