specialization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import sqrt\n",
    "from random import random, randrange, seed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import seaborn\n",
    "import pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from models import *\n",
    "from methods import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "seed(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "seaborn.set(style=\"darkgrid\")\n",
    "matplotlib.rcParams[\"figure.dpi\"] = 300\n",
    "matplotlib.rcParams[\"font.family\"] = \"serif\"\n",
    "matplotlib.rcParams[\"font.serif\"] = [\"Times New Roman\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_professions = 2\n",
    "num_agents = 100\n",
    "prof1 = 50\n",
    "prof2 = num_agents - prof1\n",
    "professions = [0] * prof1 + [1] * prof2\n",
    "num_localities = 10\n",
    "locality_caps = [10] * num_localities\n",
    "random_samples = 1000\n",
    "\n",
    "specialized_locality = (8, 2)\n",
    "unspecialized_locality = (5, 5)\n",
    "\n",
    "def _distribute_jobs(specialization):\n",
    "    assert 0 <= specialization <= 5\n",
    "    \n",
    "    job_numbers = []\n",
    "    for _ in range(specialization):\n",
    "        many, few = specialized_locality\n",
    "        job_numbers.append((many, few))\n",
    "        job_numbers.append((few, many))\n",
    "    for _ in range(2 * (5 - specialization)):\n",
    "        job_numbers.append(unspecialized_locality)\n",
    "        \n",
    "    return job_numbers\n",
    "\n",
    "def test_correction(specialization):\n",
    "    job_numbers = _distribute_jobs(specialization)\n",
    "    qualification_probabilities = \\\n",
    "        [[random()] * num_localities for _ in range(num_agents)]\n",
    "    correction_functions = []\n",
    "    for p1, p2 in job_numbers:\n",
    "        # The default parameters in the lambdas are never used, but are\n",
    "        # a way of getting Python's peculiar binding behavior to work.\n",
    "        # See https://docs.python.org/3/faq/programming.html#why-do-\n",
    "        # lambdas-defined-in-a-loop-with-different-values-all-return-\n",
    "        # the-same-result for more information.\n",
    "        correction_functions.append((lambda x, P1=p1: min(x, P1),\n",
    "                                     lambda x, P2=p2: min(x, P2)))\n",
    "    model = RetroactiveCorrectionModel(num_agents, locality_caps,\n",
    "                                       num_professions, professions,\n",
    "                                       qualification_probabilities,\n",
    "                                       correction_functions,\n",
    "                                       random_samples)\n",
    "    return model\n",
    "\n",
    "def test_interview(specialization):\n",
    "    job_numbers = _distribute_jobs(specialization)\n",
    "    compatibility_probabilities = [random() for _ in range(num_agents)]\n",
    "    model = InterviewModel(num_agents, locality_caps, num_professions,\n",
    "                           professions, job_numbers,\n",
    "                           compatibility_probabilities, random_samples)\n",
    "    return model\n",
    "\n",
    "def test_coordination(specialization):\n",
    "    job_numbers = _distribute_jobs(specialization)\n",
    "    locality_num_jobs = [prof1 + prof2 for prof1, prof2 in job_numbers]\n",
    "    compatibility_probabilities = []\n",
    "    for _ in range(prof1):\n",
    "        competency = random()\n",
    "        compatibility_probabilities.append(\n",
    "            [[competency] * p1 + [0.] * p2 for p1, p2 in job_numbers])\n",
    "    for _ in range(prof2):\n",
    "        competency = random()\n",
    "        compatibility_probabilities.append(\n",
    "            [[0.] * p1 + [competency] * p2 for p1, p2 in job_numbers])\n",
    "    model = CoordinationModel(num_agents, locality_caps,\n",
    "                              locality_num_jobs,\n",
    "                              compatibility_probabilities,\n",
    "                              random_samples)\n",
    "    return model\n",
    "\n",
    "settings = {\"correction\": test_correction, \"interview\": test_interview,\n",
    "            \"coordination\": test_coordination}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = []\n",
    "\n",
    "def sample(setting, specialization):\n",
    "    m = settings[setting](specialization)\n",
    "    additive = additive_optimization(m)[1]\n",
    "    greedy = greedy_algorithm(m)[1]\n",
    "    datum = {}\n",
    "    datum[\"specialization\"] = specialization\n",
    "    datum[\"additive\"] = additive\n",
    "    datum[\"greedy\"] = greedy\n",
    "    if additive > 0.0005:\n",
    "        datum[\"greedy / additive\"] = greedy / additive\n",
    "    else:\n",
    "        datum[\"greedy / additive\"] = None\n",
    "    datum[\"model\"] = setting\n",
    "    data.append(datum)\n",
    "    return datum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Academic license - for non-commercial use only\n",
      "2018-08-31 19:46:54.767751 correction 0 1\n",
      "2018-08-31 19:47:36.879076 interview 0 2\n",
      "2018-08-31 20:07:12.259245 coordination 0 3\n",
      "2018-08-31 20:07:26.435990 correction 1 4\n",
      "2018-08-31 20:08:02.953481 interview 1 5\n",
      "2018-08-31 20:28:09.267336 coordination 1 6\n",
      "2018-08-31 20:28:25.050383 correction 2 7\n",
      "2018-08-31 20:29:10.428678 interview 2 8\n",
      "2018-08-31 20:48:54.691718 coordination 2 9\n",
      "2018-08-31 20:49:08.082014 correction 3 10\n",
      "2018-08-31 20:49:47.158599 interview 3 11\n",
      "2018-08-31 21:09:30.156206 coordination 3 12\n",
      "2018-08-31 21:09:44.137851 correction 4 13\n",
      "2018-08-31 21:10:25.855602 interview 4 14\n",
      "2018-08-31 21:30:17.637798 coordination 4 15\n",
      "2018-08-31 21:30:31.567483 correction 5 16\n",
      "2018-08-31 21:31:16.793924 interview 5 17\n",
      "2018-08-31 21:51:10.020497 coordination 5 18\n",
      "2018-08-31 21:51:23.780960 correction 0 19\n",
      "2018-08-31 21:51:58.555645 interview 0 20\n",
      "2018-08-31 22:11:14.213464 coordination 0 21\n",
      "2018-08-31 22:11:27.620564 correction 1 22\n",
      "2018-08-31 22:12:03.408348 interview 1 23\n",
      "2018-08-31 22:31:22.863396 coordination 1 24\n",
      "2018-08-31 22:31:36.948505 correction 2 25\n",
      "2018-08-31 22:32:16.160487 interview 2 26\n",
      "2018-08-31 22:51:54.770645 coordination 2 27\n",
      "2018-08-31 22:52:08.462500 correction 3 28\n",
      "2018-08-31 22:52:47.739841 interview 3 29\n",
      "2018-08-31 23:12:32.907356 coordination 3 30\n",
      "2018-08-31 23:12:46.384053 correction 4 31\n",
      "2018-08-31 23:13:28.142159 interview 4 32\n",
      "2018-08-31 23:33:46.180745 coordination 4 33\n",
      "2018-08-31 23:34:02.419719 correction 5 34\n",
      "2018-08-31 23:34:44.033805 interview 5 35\n",
      "2018-08-31 23:54:43.242280 coordination 5 36\n",
      "2018-08-31 23:54:57.085354 correction 0 37\n",
      "2018-08-31 23:55:30.919021 interview 0 38\n",
      "2018-09-01 00:14:46.657180 coordination 0 39\n",
      "2018-09-01 00:15:00.390418 correction 1 40\n",
      "2018-09-01 00:15:36.567992 interview 1 41\n",
      "2018-09-01 00:35:07.029600 coordination 1 42\n",
      "2018-09-01 00:35:20.852207 correction 2 43\n",
      "2018-09-01 00:35:58.372043 interview 2 44\n",
      "2018-09-01 00:55:45.294993 coordination 2 45\n",
      "2018-09-01 00:55:58.607355 correction 3 46\n",
      "2018-09-01 00:56:38.930396 interview 3 47\n",
      "2018-09-01 01:16:27.544814 coordination 3 48\n",
      "2018-09-01 01:16:41.148480 correction 4 49\n",
      "2018-09-01 01:17:21.817746 interview 4 50\n",
      "2018-09-01 01:37:08.472444 coordination 4 51\n",
      "2018-09-01 01:37:22.824831 correction 5 52\n",
      "2018-09-01 01:38:04.122662 interview 5 53\n",
      "2018-09-01 01:58:03.342497 coordination 5 54\n",
      "2018-09-01 01:58:17.120866 correction 0 55\n",
      "2018-09-01 01:58:51.040331 interview 0 56\n",
      "2018-09-01 02:18:00.151982 coordination 0 57\n",
      "2018-09-01 02:18:13.942582 correction 1 58\n",
      "2018-09-01 02:18:50.561791 interview 1 59\n",
      "2018-09-01 02:38:15.398235 coordination 1 60\n",
      "2018-09-01 02:38:29.003296 correction 2 61\n",
      "2018-09-01 02:39:06.683367 interview 2 62\n",
      "2018-09-01 02:58:48.075637 coordination 2 63\n",
      "2018-09-01 02:59:01.754248 correction 3 64\n",
      "2018-09-01 02:59:40.669728 interview 3 65\n",
      "2018-09-01 03:19:26.637718 coordination 3 66\n",
      "2018-09-01 03:19:40.729200 correction 4 67\n",
      "2018-09-01 03:20:21.004179 interview 4 68\n",
      "2018-09-01 03:40:49.900666 coordination 4 69\n",
      "2018-09-01 03:41:03.949867 correction 5 70\n",
      "2018-09-01 03:41:46.061647 interview 5 71\n",
      "2018-09-01 04:01:38.960194 coordination 5 72\n",
      "2018-09-01 04:01:52.594313 correction 0 73\n",
      "2018-09-01 04:02:26.456242 interview 0 74\n",
      "2018-09-01 04:21:43.202366 coordination 0 75\n",
      "2018-09-01 04:21:57.083597 correction 1 76\n",
      "2018-09-01 04:22:32.511474 interview 1 77\n",
      "2018-09-01 04:41:59.846016 coordination 1 78\n",
      "2018-09-01 04:42:13.601978 correction 2 79\n",
      "2018-09-01 04:42:50.900652 interview 2 80\n",
      "2018-09-01 05:02:26.605686 coordination 2 81\n",
      "2018-09-01 05:02:40.439037 correction 3 82\n",
      "2018-09-01 05:03:19.922062 interview 3 83\n",
      "2018-09-01 05:22:58.524522 coordination 3 84\n",
      "2018-09-01 05:23:14.279983 correction 4 85\n",
      "2018-09-01 05:23:54.622147 interview 4 86\n",
      "2018-09-01 05:43:53.567750 coordination 4 87\n",
      "2018-09-01 05:44:07.590311 correction 5 88\n",
      "2018-09-01 05:44:50.691898 interview 5 89\n",
      "2018-09-01 06:04:39.606148 coordination 5 90\n",
      "2018-09-01 06:04:53.404051 correction 0 91\n",
      "2018-09-01 06:05:27.369541 interview 0 92\n",
      "2018-09-01 06:24:37.558965 coordination 0 93\n",
      "2018-09-01 06:24:51.291826 correction 1 94\n",
      "2018-09-01 06:25:27.649845 interview 1 95\n",
      "2018-09-01 06:44:56.448974 coordination 1 96\n",
      "2018-09-01 06:45:09.995581 correction 2 97\n",
      "2018-09-01 06:45:47.106689 interview 2 98\n",
      "2018-09-01 07:05:32.634953 coordination 2 99\n",
      "2018-09-01 07:05:46.338883 correction 3 100\n",
      "2018-09-01 07:06:27.765395 interview 3 101\n",
      "2018-09-01 07:26:14.403299 coordination 3 102\n",
      "2018-09-01 07:26:28.196469 correction 4 103\n",
      "2018-09-01 07:27:09.819329 interview 4 104\n",
      "2018-09-01 07:47:38.948551 coordination 4 105\n",
      "2018-09-01 07:47:52.528623 correction 5 106\n",
      "2018-09-01 07:48:34.089290 interview 5 107\n",
      "2018-09-01 08:08:35.048951 coordination 5 108\n",
      "2018-09-01 08:08:48.670380 correction 0 109\n",
      "2018-09-01 08:09:22.433861 interview 0 110\n",
      "2018-09-01 08:28:23.679844 coordination 0 111\n",
      "2018-09-01 08:28:39.002827 correction 1 112\n",
      "2018-09-01 08:29:14.901298 interview 1 113\n",
      "2018-09-01 08:48:44.021663 coordination 1 114\n",
      "2018-09-01 08:48:57.657055 correction 2 115\n",
      "2018-09-01 08:49:35.541899 interview 2 116\n",
      "2018-09-01 09:09:27.595284 coordination 2 117\n",
      "2018-09-01 09:09:41.264465 correction 3 118\n",
      "2018-09-01 09:10:20.744100 interview 3 119\n",
      "2018-09-01 09:30:00.236812 coordination 3 120\n",
      "2018-09-01 09:30:14.210659 correction 4 121\n",
      "2018-09-01 09:30:54.952621 interview 4 122\n",
      "2018-09-01 09:50:58.099357 coordination 4 123\n",
      "2018-09-01 09:51:11.956237 correction 5 124\n",
      "2018-09-01 09:51:55.119422 interview 5 125\n",
      "2018-09-01 10:11:02.296775 coordination 5 126\n",
      "2018-09-01 10:11:13.328045 correction 0 127\n",
      "2018-09-01 10:11:40.214315 interview 0 128\n",
      "2018-09-01 10:26:43.509658 coordination 0 129\n",
      "2018-09-01 10:26:51.882077 correction 1 130\n",
      "2018-09-01 10:27:13.747680 interview 1 131\n",
      "2018-09-01 10:39:07.812653 coordination 1 132\n",
      "2018-09-01 10:39:15.930263 correction 2 133\n",
      "2018-09-01 10:39:38.407708 interview 2 134\n",
      "2018-09-01 10:51:37.999687 coordination 2 135\n",
      "2018-09-01 10:51:46.173962 correction 3 136\n",
      "2018-09-01 10:52:09.709467 interview 3 137\n",
      "2018-09-01 11:04:07.555540 coordination 3 138\n",
      "2018-09-01 11:04:16.103443 correction 4 139\n",
      "2018-09-01 11:04:43.295526 interview 4 140\n",
      "2018-09-01 11:16:50.827875 coordination 4 141\n",
      "2018-09-01 11:16:59.255441 correction 5 142\n",
      "2018-09-01 11:17:24.478662 interview 5 143\n",
      "2018-09-01 11:29:37.879797 coordination 5 144\n",
      "2018-09-01 11:29:46.125837 correction 0 145\n",
      "2018-09-01 11:30:05.943645 interview 0 146\n",
      "2018-09-01 11:42:00.469785 coordination 0 147\n",
      "2018-09-01 11:42:08.434750 correction 1 148\n",
      "2018-09-01 11:42:29.544254 interview 1 149\n",
      "2018-09-01 11:54:46.396861 coordination 1 150\n",
      "2018-09-01 11:54:54.580177 correction 2 151\n",
      "2018-09-01 11:55:17.169524 interview 2 152\n",
      "2018-09-01 12:06:38.044506 coordination 2 153\n",
      "2018-09-01 12:06:43.590654 correction 3 154\n",
      "2018-09-01 12:06:59.182133 interview 3 155\n",
      "2018-09-01 12:15:22.618724 coordination 3 156\n",
      "2018-09-01 12:15:28.220900 correction 4 157\n",
      "2018-09-01 12:15:44.755610 interview 4 158\n",
      "2018-09-01 12:24:07.448353 coordination 4 159\n",
      "2018-09-01 12:24:12.875770 correction 5 160\n",
      "2018-09-01 12:24:29.998552 interview 5 161\n",
      "2018-09-01 12:32:56.940429 coordination 5 162\n",
      "2018-09-01 12:33:02.411678 correction 0 163\n",
      "2018-09-01 12:33:16.925196 interview 0 164\n",
      "2018-09-01 12:41:22.338490 coordination 0 165\n",
      "2018-09-01 12:41:27.739978 correction 1 166\n",
      "2018-09-01 12:41:42.425607 interview 1 167\n",
      "2018-09-01 12:49:57.190922 coordination 1 168\n",
      "2018-09-01 12:50:02.667000 correction 2 169\n",
      "2018-09-01 12:50:17.949005 interview 2 170\n",
      "2018-09-01 12:58:34.322824 coordination 2 171\n",
      "2018-09-01 12:58:39.818010 correction 3 172\n",
      "2018-09-01 12:58:55.760065 interview 3 173\n",
      "2018-09-01 13:07:19.292369 coordination 3 174\n",
      "2018-09-01 13:07:24.735973 correction 4 175\n",
      "2018-09-01 13:07:41.409394 interview 4 176\n",
      "2018-09-01 13:16:06.173344 coordination 4 177\n",
      "2018-09-01 13:16:11.838058 correction 5 178\n",
      "2018-09-01 13:16:29.121965 interview 5 179\n",
      "2018-09-01 13:24:48.254371 coordination 5 180\n"
     ]
    },
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      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "for _ in range(10):\n",
    "    for specialization in range(6):\n",
    "        for setting in settings:\n",
    "            sample(setting, specialization)\n",
    "            print(datetime.now(), setting, specialization, len(data))\n",
    "from pickle import dumps\n",
    "dumps(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _format_y(ratio):\n",
    "    return f\"{ratio-1:,.0%}\"\n",
    "\n",
    "def plot():\n",
    "    d = pandas.DataFrame(data)\n",
    "    g = seaborn.catplot(x=\"specialization\", y=\"greedy / additive\",\n",
    "                        hue=\"model\", data=d)\n",
    "    for ax in g.axes[0]:\n",
    "        vals = ax.get_yticks()\n",
    "        ax.set_yticklabels([_format_y(x) for x in vals])\n",
    "        ax.set_ylabel(\"improvement of greedy over additive\")\n",
    "    g.savefig(\"specialization.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1914.88x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot()"
   ]
  }
 ],
 "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": "3.6.6rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}