V1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Лабораторная работа №1. Грузоперевозки\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**Текстовое описание модели:**\n",
    "\n",
    "В распоряжении компании грузовики 2 типов: малогабаритные и грузовые. Два типа заявок соответственно: малые перевозки и крупные. Каждая заявка появляется по закону Пуассона, со своей интенсивностью. На каждый заказ необходимо разное время. Для малогабаритных заказов длительность в среднем меньше, чем для крупногабаритных. Время равномерно распределено в определённых границах, своих для каждого типа заказов. Моделируется обслуживание.\n",
    "\n",
    "**Время в модели**\n",
    "\n",
    "Дискретное время, шаг 1 минута. Время моделирования - задаётся при запуске модели.\n",
    "\n",
    "**Параметры модели**\n",
    "\n",
    "- `n_small` - кол-во малогабаритных машин в компании\n",
    "- `n_large` - кол-во грузовых машин в компании\n",
    "- `small_intencity` - интенсивность поступления малых заказов (в мин.)\n",
    "- `large_intencity` - интенсивность поступления крупных заказов (в мин.)\n",
    "- `model_time` - Время, на протяжении которого моделируем (в мин.)\n",
    "- `time_ranges` - Границы времени исполнения заказов в формате [[a,b],[c,d]]\n",
    "- `plot_graphs` - Строить ли графики (нужно при многочисленном моделировании с разными параметрами)\n",
    "\n",
    "**Реализация**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "mpl.style.use('seaborn')\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 676,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Order():\n",
    "    def __init__(self, order_type, order_time):\n",
    "        self.size = order_type\n",
    "        self.time = order_time\n",
    "        self.stage = 0\n",
    "        self.queue_time = 0\n",
    "\n",
    "def ProcessNewOrders(order_type, order_num, time_range):\n",
    "    return [Order(order_type,np.random.randint(time_range[0],\n",
    "            time_range[1]+1)) for _ in range(order_num)]\n",
    "        \n",
    "def CargoModel(n_small,\n",
    "               n_large, \n",
    "               small_intencity, \n",
    "               large_intencity,\n",
    "               model_time,\n",
    "               time_ranges,\n",
    "               plot_graphs = True\n",
    "              ):\n",
    "    x = np.arange(model_time)\n",
    "    queue_times = [[],[]]\n",
    "    free_vehicles = [n_small, n_large]\n",
    "    orders = []\n",
    "    for i in x:\n",
    "        small_orders = np.random.poisson(small_intencity)\n",
    "        large_orders = np.random.poisson(large_intencity)\n",
    "        orders += (ProcessNewOrders(0, small_orders, time_ranges[0]) \n",
    "                   + ProcessNewOrders(1, large_orders, time_ranges[1]))\n",
    "        next_orders = []\n",
    "        for order in orders:\n",
    "            s = order.size\n",
    "            if order.stage == 1:\n",
    "                order.time -= 1\n",
    "                if order.time == 0:\n",
    "                    free_vehicles[s] += 1\n",
    "                    queue_times[s].append(order.queue_time)\n",
    "                else:\n",
    "                    next_orders.append(order)\n",
    "            else:\n",
    "                next_orders.append(order)\n",
    "                if free_vehicles[s]:\n",
    "                    order.stage = 1\n",
    "                    free_vehicles[s] -= 1\n",
    "                else:\n",
    "                    order.queue_time += 1\n",
    "        orders = next_orders\n",
    "    if plot_graphs:\n",
    "        print(\"Наибольшее время  обработки заказа малогаб./груз.: \",\n",
    "              np.max(queue_times[0]),\"/\", np.max(queue_times[1]))\n",
    "        print(\"Среднее время  обработки заказа малогаб./груз.: \",\n",
    "              np.mean(queue_times[0]),\"/\", np.mean(queue_times[1]))\n",
    "        _, ax = plt.subplots(figsize=(15, 7))\n",
    "        plt.hist([queue_times[0],queue_times[1]], \n",
    "                 bins=20,label=['Малогаб.', 'Грузовые'],stacked = True)\n",
    "        ax.set_xlabel('Время ожидания')\n",
    "        ax.legend()\n",
    "        _, ax = plt.subplots(figsize=(15, 7))\n",
    "        ax.plot(np.arange(len(queue_times[0])),queue_times[0],\n",
    "                label='Время ожидания, малогаб.')\n",
    "        ax.plot(np.arange(len(queue_times[1])),queue_times[1],\n",
    "                label='Время ожидания, грузовые')\n",
    "        ax.set_xlabel('Кол-во заказов')\n",
    "        ax.legend()\n",
    "    return [np.max(queue_times[0]), \n",
    "            np.max(queue_times[1])], [np.mean(queue_times[0]),\n",
    "            np.mean(queue_times[1])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Эксперименты**\n",
    "\n",
    "\n",
    "1) Найти оптимальные решения для данной модели. То есть найдём такое количество машин, что вместе их будет как можно меньше, а время ожидания обработки будет минимальным. Для этого построим тепловую карту по двум параметрам: количество тех и других машин для среднего времени ожидания малых и крупных заказов."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 677,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sm_v = np.arange(1,30)\n",
    "la_v = np.arange(1,30)\n",
    "res = np.zeros((len(sm_v),len(la_v)))\n",
    "for i in range(len(la_v)):\n",
    "    for j in range(len(sm_v)):\n",
    "        _, a  = CargoModel(sm_v[j],la_v[i],0.4,0.12,600,\n",
    "                           [[15,90],[45,120]],False)\n",
    "        res[j,i] = np.mean(a) \n",
    "        \n",
    "sns.heatmap(res,xticklabels=la_v,yticklabels=sm_v,cmap=\"mako_r\")\n",
    "plt.xlabel(\"Крупногабаритные\")\n",
    "plt.ylabel(\"Малогабаритные\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Понятно, что таким образом можно легко находить оптимальное число машин. Для данных параметров - это около 22/13 машин соответственно. При меньшем числе получается слишком большое среднее время ожидания."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2) Найти состояние равновесия когда очередь обслуживается в течении 24 часов модельного времени. Примем за состояние равновесия такое состояние, что время ожидания не растёт в бесконечность. Попробуем найти такие параметры."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Наибольшее время ожидания обработки заказа малогаб./груз.:  7 / 19\n",
      "Среднее время ожидания обработки заказа малогаб./груз.:  0.12301587301587301 / 0.8145161290322581\n"
     ]
    },
    {
     "data": {
      "image/png": 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NAACgQGINAACgQGINAACgQGINAACgQGINAACgQGINAACgQGINAACgQGINAACgQNUbu/G5557LxIkT89hjj2Xt2rUZM2ZM3vWud+Wkk07K9ttvnyQZMWJEDjnkkMydOzdz5sxJdXV1xowZkwMOOODNWD8AAMAWaaOxdvPNN2fbbbfNxRdfnNWrV+fwww/PySefnOOPPz6jR49u3m/VqlWZPXt2rr/++jQ1NWXkyJEZNGhQampqNvsBAAAAbIk2GmsHH3xwhg0b1vx1hw4dsnTp0jz88MOZN29e+vTpk4kTJ2bJkiUZMGBAampqUlNTk969e2f58uXp37//Rp+8e/fOqa7u0DpH0g707Fnb1ktoM+352EtkHmUxj/KYSVnMoyzmURbzKNtGY61Lly5JkoaGhpx66qkZO3Zs1q5dm6OOOir9+vXLZZddlpkzZ2bXXXdNbW1ti/s1NDRs8slXr37mDS6/fVm1qr6tl9AmevasbbfHXiLzKIt5lMdMymIeZTGPsphHGTYWzJv8gJE///nPOe644zJ8+PAceuihGTp0aPr165ckGTp0aO6///507do1jY2NzfdpbGxsEW8AAAC8NhuNtSeffDKjR4/OGWeckSOPPDJJcsIJJ2TJkiVJkrvuuiu77757+vfvn8WLF6epqSn19fVZsWJF+vbtu/lXDwAAsIXa6MsgL7/88jz99NOZNWtWZs2alSSZMGFCpk6dmo4dO6ZHjx6ZPHlyunbtmlGjRmXkyJGpVCoZN25cOnXq9KYcAAAAwJaoqlKpVNrqyUt9jezJd5zZ1kt4RTOHXNTWS2gTXk9dFvMoi3mUx0zKYh5lMY+ymEcZ3tB71gAAAHjziTUAAIACiTUAAIACiTUAAIACiTUAAIACiTUAAIACbfT3rLVXa+4+uK2X8MqGtPUCAACAN4srawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAUSawAAAAWq3tiNzz33XCZOnJjHHnssa9euzZgxY7LzzjtnwoQJqaqqyi677JJzzz03W221VebOnZs5c+akuro6Y8aMyQEHHPBmHQMAAMAWZ6OxdvPNN2fbbbfNxRdfnNWrV+fwww/PrrvumrFjx2bffffNOeeck3nz5mXPPffM7Nmzc/3116epqSkjR47MoEGDUlNT82YdBwAAwBZlo7F28MEHZ9iwYc1fd+jQIcuWLcs+++yTJBk8eHAWLlyYrbbaKgMGDEhNTU1qamrSu3fvLF++PP3799/ok3fv3jnV1R1a4TDah549a9t6CW2mPR97icyjLOZRHjMpi3mUxTzKYh5l22isdenSJUnS0NCQU089NWPHjs2FF16Yqqqq5tvr6+vT0NCQ2traFvdraGjY5JOvXv3MG1l7u7NqVX1bL6FN9OxZ226PvUTmURbzKI+ZlMU8ymIeZTGPMmwsmDf5ASN//vOfc9xxx2X48OE59NBDs9VW/7hLY2NjunXrlq5du6axsbHF9hfHGwAAAK/NRmPtySefzOjRo3PGGWfkyCOPTJLstttuWbRoUZJkwYIFGThwYPr375/Fixenqakp9fX1WbFiRfr27bv5Vw8AALCF2ujLIC+//PI8/fTTmTVrVmbNmpUk+cpXvpIpU6Zk+vTp2XHHHTNs2LB06NAho0aNysiRI1OpVDJu3Lh06tTpTTkAAACALVFVpVKptNWTl/oa2dHT7mjrJbyib08Y0tZLaBNeT10W8yiLeZTHTMpiHmUxj7KYRxne0HvWAAAAePOJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAKJNQAAgAK9qli77777MmrUqCTJsmXL8tGPfjSjRo3KqFGjcuuttyZJ5s6dmyOOOCJ1dXWZP3/+5lsxAABAO1C9qR2uuuqq3Hzzzdlmm22SJPfff3+OP/74jB49unmfVatWZfbs2bn++uvT1NSUkSNHZtCgQampqdl8KwcAANiCbfLKWu/evTNjxozmr5cuXZo777wzxx57bCZOnJiGhoYsWbIkAwYMSE1NTWpra9O7d+8sX758sy4cAABgS7bJK2vDhg3Ln/70p+av+/fvn6OOOir9+vXLZZddlpkzZ2bXXXdNbW1t8z5dunRJQ0PDJp+8e/fOqa7u8DqX3v707Fm76Z22UO352EtkHmUxj/KYSVnMoyzmURbzKNsmY+2lhg4dmm7dujX/++TJkzNw4MA0NjY279PY2Ngi3v6Z1aufea1P366tWlXf1ktoEz171rbbYy+ReZTFPMpjJmUxj7KYR1nMowwbC+bX/GmQJ5xwQpYsWZIkueuuu7L77runf//+Wbx4cZqamlJfX58VK1akb9++r3/FAAAA7dxrvrJ23nnnZfLkyenYsWN69OiRyZMnp2vXrhk1alRGjhyZSqWScePGpVOnTptjvQAAAO3Cq4q1Xr16Ze7cuUmS3XffPXPmzHnZPnV1damrq2vd1QEAALRTfik2AABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgcQaAABAgV5VrN13330ZNWpUkuTRRx/NiBEjMnLkyJx77rnZsGFDkmTu3Lk54ogjUldXl/nz52++FQMAALQDm4y1q666KpMmTUpTU1OS5IILLsjYsWPzgx/8IJVKJfPmzcuqVasye/bszJkzJ1dffXWmT5+etWvXbvbFAwAAbKmqN7VD7969M2PGjJx55plJkmXLlmWfffZJkgwePDgLFy7MVlttlQEDBqSmpiY1NTXp3bt3li9fnv79+2/0sbt375zq6g6tcBjtQ8+etW29hDbTno+9ROZRFvMoj5mUxTzKYh5lMY+ybTLWhg0blj/96U/NX1cqlVRVVSVJunTpkvr6+jQ0NKS29h+D7tKlSxoaGjb55KtXP/N61txurVpV39ZLaBM9e9a222MvkXmUxTzKYyZlMY+ymEdZzKMMGwvm1/wBI1tt9Y+7NDY2plu3bunatWsaGxtbbH9xvAEAAPDavOZY22233bJo0aIkyYIFCzJw4MD0798/ixcvTlNTU+rr67NixYr07du31RcLAADQXmzyZZAvNX78+Jx99tmZPn16dtxxxwwbNiwdOnTIqFGjMnLkyFQqlYwbNy6dOnXaHOsFAABoF15VrPXq1Stz585Nkuywww655pprXrZPXV1d6urqWnd1AAAA7ZRfig0AAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgsQYAAFCg6td7x8MOOyy1tbVJkl69euWkk07KhAkTUlVVlV122SXnnntuttpKCwIAALweryvWmpqakiSzZ89u3nbSSSdl7Nix2XfffXPOOedk3rx5GTp0aOusEgAAoJ15XbG2fPnyrFmzJqNHj866devypS99KcuWLcs+++yTJBk8eHAWLly4yVjr3r1zqqs7vJ4ltEs9e9a29RLaTHs+9hKZR1nMozxmUhbzKIt5lMU8yva6Ym3rrbfOCSeckKOOOiqPPPJITjzxxFQqlVRVVSVJunTpkvr6+k0+zurVz7yep2+3Vq3a9J/plqhnz9p2e+wlMo+ymEd5zKQs5lEW8yiLeZRhY8H8umJthx12SJ8+fVJVVZUddtgh2267bZYtW9Z8e2NjY7p16/Z6HhoAAIC8zk+DvO666zJt2rQkycqVK9PQ0JBBgwZl0aJFSZIFCxZk4MCBrbdKAACAduZ1XVk78sgjc9ZZZ2XEiBGpqqrK1KlT071795x99tmZPn16dtxxxwwbNqy11woAANBuvK5Yq6mpyde//vWXbb/mmmve8IIAAADwS7EBAACKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKJNYAAAAKVN3WC+DVO/mOM9t6Ca9o5pCL2noJAACwxRFrbyFr7j64rZfwyoa09QIAAGDLI9Z4w0ZPu6Otl/CKvj1BRQIA8NblPWsAAAAFatUraxs2bMh5552XBx98MDU1NZkyZUr69OnTmk8BAADQLrRqrP385z/P2rVr86Mf/Sj33ntvpk2blssuu6w1nwKgCD7wh83Nf2NbBnME3ohWjbXFixfnox/9aJJkzz33zNKlS1vz4eE18V6618af12tT6gf+nJwy/2KY+MshsGnidstgjq2nqlKpVFrrwb7yla/koIMOyv77758k+djHPpaf//znqa72OSYAAACvRat+wEjXrl3T2NjY/PWGDRuEGgAAwOvQqrG21157ZcGCBUmSe++9N3379m3NhwcAAGg3WvVlkC98GuTvfve7VCqVTJ06NTvttFNrPTwAAEC70aqxBgAAQOvwS7EBAAAKJNYAAAAKJNYAAAAK1G4/V/+FD0N58MEHU1NTkylTpqRPnz7Nt99xxx2ZOXNmqqur8+lPfzp1dXVtuNr24bnnnsvEiRPz2GOPZe3atRkzZkw+/vGPN9/+ne98J9ddd13e/va3J0m++tWvZscdd2yr5bYLhx12WGpra5MkvXr1ygUXXNB8m3PkzXXDDTfkxhtvTJI0NTXlgQceyMKFC9OtW7ckzo8303333Zd///d/z+zZs/Poo49mwoQJqaqqyi677JJzzz03W231j/8PuqmfNbxxL57HAw88kMmTJ6dDhw6pqanJhRdemB49erTYf2Pf13jjXjyPZcuW5aSTTsr222+fJBkxYkQOOeSQ5n2dH5vfi+cxbty4PPnkk0mSxx57LHvssUe+8Y1vtNjf+VGgSjt1++23V8aPH1+pVCqV3/zmN5WTTjqp+ba1a9dWDjzwwMpTTz1VaWpqqhxxxBGVJ554oq2W2m5cd911lSlTplQqlUrlb3/7W2X//fdvcfuXv/zlym9/+9s2WFn79Oyzz1aGDx/+irc5R9rWeeedV5kzZ06Lbc6PN8eVV15Z+eQnP1k56qijKpVKpfL5z3++8stf/rJSqVQqZ599duW///u/W+y/sZ81vHEvncexxx5buf/++yuVSqXywx/+sDJ16tQW+2/s+xpv3EvnMXfu3MrVV1/9T/d3fmxeL53HC5566qnKpz71qcrKlStbbHd+lKndvgxy8eLF+ehHP5ok2XPPPbN06dLm21asWJHevXvnbW97W2pqarL33nvn17/+dVsttd04+OCDc9pppzV/3aFDhxa3L1u2LFdeeWVGjBiRK6644s1eXruzfPnyrFmzJqNHj85xxx2Xe++9t/k250jb+e1vf5vf//73Ofroo1tsd368OXr37p0ZM2Y0f71s2bLss88+SZLBgwfnF7/4RYv9N/azhjfupfOYPn16PvCBDyRJ1q9fn06dOrXYf2Pf13jjXjqPpUuX5s4778yxxx6biRMnpqGhocX+zo/N66XzeMGMGTPymc98Jtttt12L7c6PMrXbWGtoaEjXrl2bv+7QoUPWrVvXfNsLl4CTpEuXLi/7BkPr69KlS7p27ZqGhoaceuqpGTt2bIvbP/GJT+S8887L9773vSxevDjz589vm4W2E1tvvXVOOOGEXH311fnqV7+a008/3TlSgCuuuCInn3zyy7Y7P94cw4YNS3X1P95BUKlUUlVVleT586C+vr7F/hv7WcMb99J5vPCXz3vuuSfXXHNN/u3f/q3F/hv7vsYb99J59O/fP2eeeWauvfbavO9978vMmTNb7O/82LxeOo8k+etf/5q77rorRxxxxMv2d36Uqd3GWteuXdPY2Nj89YYNG5r/g37pbY2NjS3+Ysrm8+c//znHHXdchg8fnkMPPbR5e6VSyWc/+9m8/e1vT01NTfbff//cf//9bbjSLd8OO+yQT33qU6mqqsoOO+yQbbfdNqtWrUriHGkrTz/9dB566KHst99+LbY7P9rOi9+f1tjY2Pwewhds7GcNm8ett96ac889N1deeWXzezhfsLHva7S+oUOHpl+/fs3//tLvS86PN99Pf/rTfPKTn3zZq5cS50ep2m2s7bXXXlmwYEGS5N57703fvn2bb9tpp53y6KOP5qmnnsratWvz61//OgMGDGirpbYbTz75ZEaPHp0zzjgjRx55ZIvbGhoa8slPfjKNjY2pVCpZtGhR8w8ANo/rrrsu06ZNS5KsXLkyDQ0N6dmzZxLnSFv51a9+lQ9/+MMv2+78aDu77bZbFi1alCRZsGBBBg4c2OL2jf2sofXddNNNueaaazJ79uy8733ve9ntG/u+Rus74YQTsmTJkiTJXXfdld13373F7c6PN99dd92VwYMHv+Jtzo8ytdv/fTF06NAsXLgwxxxzTCqVSqZOnZpbbrklzzzzTI4++uhMmDAhJ5xwQiqVSj796U/nne98Z1sveYt3+eWX5+mnn86sWbMya9asJMlRRx2VNWvW5Oijj864ceNy3HHHpaamJv/yL/+S/fffv41XvGU78sgjc9ZZZ2XEiBGpqqrK1KlTc9tttzlH2tDDDz+cXr16NX/94u9Zzo+2MX78+Jx99tmZPn16dtxxxwwbNixJcuaZZ2bs2LGv+LOGzWP9+vU5//zz8+53vztf/OIXkyQf+tCHcuqppzbP45W+r7mSs/mcd955mTx5cjp27JgePXpk8uTJSZwfbenhhx9+2f/IcH6UrapSqVTaehEAAAC01G5fBgkAAFAysQYAAFAgsQYAAFAgsQYAAFAgsQYAAFAgn8cJQKtatGhRTjrppPTu3TuVSiXPPfdcjjnmmHz2s59t66UBwFuKWAOg1fXr1y+zZ89O8vwv7f7EJz6RQYMGZeedd27jlQHAW4eXQQKwWTU1NaVDhw6pra1NkgwZMiQXXXRRDjvssBx22GG5//77kySPPvpojj/++Bx++OEZMWJE8/YJEybkAx/4QP76178mSVauXJkPfOADmTFjRpJkypQpOeiggzJ8+PAMGjSoefuLzZ8/P8OHD8+hhx6aL3zhC3nyySdz6aWXZtSoUXnuuecyYcKE3HDDDfnjH/+YQw45JP/zP/+TUaNGZdGiRUmSG2+8Me9///ubH++YY47J8OHDM3z48AwYMKB5v2984xupq6vLsGHDMmrUqDz55JNJ0uK+N9xwQyZMmND8Z/GnP/0pSXLppZdmyJAhSZKFCxfmkEMOyaGHHppDDjmkeTsA7YtYA6DVLV26tDmOhgwZkn322Sfbbbdd8+2dO3fOT37yk5x66qkZP358kmT8+PE544wzcuONN2by5MkZN25c8/477bRT7rjjjiTJbbfdlne9611JkgcffDDz5s3LrbfemptuuinHHHPMy9by17/+Neecc05mzpyZW265JXvttVe+9rWv5ZRTTslee+2VH/zgB837XnDBBZk0aVL233//5m0NDQ357ne/2+IxN2zYkJtuuik33XRT+vXrl+T52HzooYcyZ86c3H777Xn3u9+dm2+++VX9eT3++OO54YYbmr/++te/nq985Su55ZZbcuWVV76qxwBgyyPWAGh1/fr1y0033ZRbbrklCxcuzCOPPNIiOurq6pI8f2Vp5cqV+ctf/pKlS5fmrLPOyvDhw/PlL385zzzzTFavXp0kOfDAAzNv3rwkyc9+9rMceOCBSZKuXbtmw4YNaWho+KdrWbJkSfr3759evXolSY4++uj88pe/TJKceOKJ+f73v5+f/vSnmTx5cmpqavLhD3+4xf1nzZqVUaNGtdi2Zs2alz1Pnz59Mn78+Pz4xz/OtGnTcu+99+aZZ55pvv2FK3GXXHLJy+570UUX5Qtf+ELz17W1tfn73//+T48JgPZBrAGwWXXt2jX/+q//mnvuuad5W3X1P94yvWHDhqxfvz41NTXNV6tuuumm/PjHP862226bJOndu3dWrVqV5cuX521ve1u6deuWJHnve9+bU045JcOGDcuBBx6YOXPmvOz5N2zY0OLrSqWSdevWJUmuuuqqDBs2LAcffHAmTJiQlStX5he/+EXzvo8++mjuvffefPrTn27etnLlyuZ1vdjSpUtzwgknZMOGDc3rqVQqzbe/cFynnnpqi/v96le/yoYNG7Lffvs1bzvnnHPy7W9/O/vtt18+97nP/dM/WwC2bGINgM1q/fr1ufvuu7Pbbrs1b/uv//qvJM9fJdtpp53y3ve+N9tvv31uuummJM+/Z+vYY49t8Tgf+chHMmnSpHziE59osf2JJ57IgAEDctttt73iyyD32GOP3Hfffc3vDfvRj36UfffdN3/5y19y/fXXN1/R6tixY04//fRccMEFzZE1Y8aMjB8/PlVVVc2Pd/vtt2fw4MEve55f/epX2WeffTJixIhsv/32ufPOO7N+/fpN/vnMnDmz+T1sL9iwYUP+9re/5dprr/UySIB2zKdBAtDqXnjPWlVVVdatW5f3v//9OfHEE5tvv+eee3Lddddlm222ybRp05IkF198cc4777x861vfSseOHfONb3yjRSQdeOCB+d73vpcDDjggDz30UJLkl7/8Za6//vrceOON6dix4yuupUePHs3vUXvuuefynve8J+eff35mzpyZY489Nl27dm3ed++99852222X2267LcnzgbjHHns03/7b3/42//Ef/5GePXvmP//zP5Mkf/jDHzJnzpxMmDAhp5xySg499NAkz78U9IVA3JjDDjss73nPe5r3ffbZZzN27NiceeaZ2WmnnV7VYwCwZaqqvPg1GgCwmQ0ZMiTf//73m99D9layaNGi3H333fniF7/YYvuoUaOaf1UBALQWV9YA4FXaeeed071795dtf/GHgwBAa3FlDQAAoEA+YAQAAKBAYg0AAKBAYg0AAKBAYg0AAKBAYg0AAKBA/w9+spPKZgnMJwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CargoModel(14,11,0.2,0.1,1440,[[15,90],[45,120]])\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Подобраны такие параметры, что в основном время ожидания нулевое. Иногда получаются простои. Можно посмотреть, что будет при уменьшении числа машин."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Наибольшее время ожидания обработки заказа малогаб./груз.:  71 / 114\n",
      "Среднее время ожидания обработки заказа малогаб./груз.:  12.728301886792453 / 32.4921875\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CargoModel(11,8,0.2,0.1,1440,[[15,90],[45,120]])\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Очередь нарастает, время ожидания стремится в бесконечность при дальнейшем обслуживании. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Лабораторная работа №2. Университет\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**Текстовое описание модели:**\n",
    "\n",
    "Смоделировать заполнение университета студентами. В систему поступают студенты (кто-то приходит чуть раньше, кто-то чуть позже) по нормальному закону распределения, $ N(начало \\ пары, \\sigma^2) $ , проходят через вход и заполняют аудитории. Время, которое нужно пройти до аудитории для всех, кто пришёл во время X зависит от количества, пришедшего в минуту X. Студенты опоздавшие на 15 минут к занятиям не допускаются. Смоделировать модель и проанализировать ее. Определить заполняемость университета. \n",
    "\n",
    "**Время в модели**\n",
    "\n",
    "Дискретное время, шаг 1 минута. Время моделирования 60 минут (45 минут до пары и 15 минут после начала, далее ситуация не меняется).\n",
    "\n",
    "**Параметры модели**\n",
    "\n",
    "- `student_number` - Количество студентов, которые должны прийти на пару\n",
    "- `sigma` - Дисперсия распределения времени прихода, чем больше - тем более раньше и позже приходят студенты\n",
    "- `croud_factor` - Влияние толпы на время нужное, чтобы дойти до аудитории.\n",
    "- `plot_graphs` - Строить ли графики (нужно при многочисленном моделировании с разными параметрами)\n",
    "\n",
    "**Реализация**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ModelUniversity(student_number, \n",
    "                    sigma = 6,\n",
    "                    croud_factor = 1, \n",
    "                    plot_graphs = True):\n",
    "    \n",
    "    lesson_start = 45\n",
    "    \n",
    "    arrive_times = [round(np.random.normal(lesson_start, sigma))\n",
    "                    for i in range(student_number)]\n",
    "    unique, counts = np.unique(arrive_times, return_counts=True)\n",
    "    pack = dict(zip(unique, counts))\n",
    "    \n",
    "    real_arrive_times = [[u + round(c*croud_factor)]*c \n",
    "                         for (u,c) in pack.items()]\n",
    "    process_ready_times = [t for same_times in real_arrive_times \n",
    "                           for t in same_times]\n",
    "    unique, counts = np.unique(process_ready_times, \n",
    "                               return_counts=True)\n",
    "    pack = dict(zip(unique, counts))\n",
    "    \n",
    "    x = np.arange(60)\n",
    "    arrived = [0 if i not in pack else pack[i] for i in x] \n",
    "    acc = 0\n",
    "    for i in range(60):\n",
    "        acc += arrived[i]\n",
    "        arrived[i] = acc\n",
    "        \n",
    "    total_arrived = arrived[-1]\n",
    "    \n",
    "    if plot_graphs:\n",
    "        print('Распределение времени прихода:')\n",
    "        plt.hist(arrive_times,bins=20)\n",
    "        plt.show()\n",
    "        print('График прибытия студентов:')  \n",
    "        plt.subplots()\n",
    "        plt.ylim([0,student_number])\n",
    "        plt.plot(x,arrived,label='Зашло в аудиторию')\n",
    "        plt.legend()\n",
    "        plt.show()\n",
    "    return total_arrived"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Запустим имитацию:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение времени прихода:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График прибытия студентов:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "На пару пришло 247 студентов.\n"
     ]
    }
   ],
   "source": [
    "n = ModelUniversity(250,croud_factor = 0.6)\n",
    "print('На пару пришло', n, 'студентов.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "При малом влиянии фактора толпы почти все студенты могут дойти вовремя, особенно если их немного. Если же число студентов увеличить не снижая фактора, то мало кто сможет успеть на пару:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение времени прихода:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "График прибытия студентов:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "На пару пришло 184 студентов.\n"
     ]
    }
   ],
   "source": [
    "n = ModelUniversity(500,croud_factor = 0.6)\n",
    "print('На пару пришло', n, 'студентов.')"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Лабораторная работа №3. Конвейер\n",
    "\n",
    "\n",
    "**Текстовое описание модели:**\n",
    "\n",
    "Моделируется конвейер с определённым числом ступеней. Длительность выполнения операции на каждой  ступени задаются. К первой ступени регулярно поставляются необходимые для сборки детали. Сдвиг конвейера происходит за единицу времени. Определить оптимальный период поставки деталей и длительность выполнения операций. Считаем за простой конвейера на ступени то время, когда операций на ней не выполнялось. Критерий оптимальности - минимум суммы времён простоя на каждой ступени.\n",
    "\n",
    "Пример одного кадра анимации:\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "Где X - незанятое место на этапе, если ранее не завезли деталей.\n",
    "Числами обозначается время, оставшееся до конца обработки на данном этапе.\n",
    "В начале указана длина очереди прибывших деталей, а в конце - число изготовленных продуктов.\n",
    "\n",
    "**Время в модели**\n",
    "\n",
    "Дискретное время, шаг 1 секунда. Время моделирования - задаётся при запуске модели.\n",
    "\n",
    "**Параметры модели**\n",
    "\n",
    "- `stage_number` - Число ступеней конвейера, >=1\n",
    "- `operation_times` - Времена обработки на ступенях\n",
    "- `delivery_period` - Период, через который детали доставляются к первой ступени\n",
    "- `model_time` - Время, на протяжении которого моделируем (в сек.)\n",
    "- `plot_graphs` - Строить ли графики (нужно при многочисленном моделировании с разными параметрами)\n",
    "- `animate` - Строить ли анимацию конвейейра\n",
    "  \n",
    "**Реализация**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from time import sleep\n",
    "from IPython.display import clear_output, display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Product():\n",
    "    def __init__(self, t):\n",
    "        self.time_on_stage = t\n",
    "def ModelPipeline(stage_number, \n",
    "                  operation_times,\n",
    "                  delivery_period,\n",
    "                  model_time,\n",
    "                  animate = True):\n",
    "    conveyor = [None for _ in range(stage_number)]\n",
    "    x = np.arange(model_time)\n",
    "    start_queue = 0\n",
    "    delay_sum = 0\n",
    "    produced = -stage_number\n",
    "    for i in x:\n",
    "        if animate:\n",
    "            clear_output(wait=True)\n",
    "            print (start_queue, ' ===> ||', end='')\n",
    "            for st in conveyor:     \n",
    "                if st is None:\n",
    "                    print('X->',end = '')\n",
    "                else:\n",
    "                    print(st.time_on_stage,'->', end = '')\n",
    "            print('|| ===> ', max(produced, 0))\n",
    "            sleep(0.5)\n",
    "        if i%delivery_period == 0:\n",
    "            start_queue += 1\n",
    "        can_move = True\n",
    "        for st in conveyor:\n",
    "            delay_sum += 1\n",
    "            if st is not None:\n",
    "                if st.time_on_stage > 0:\n",
    "                    st.time_on_stage -= 1\n",
    "                    delay_sum -=1\n",
    "                    can_move = False\n",
    "        if can_move:\n",
    "            delay_sum -= stage_number\n",
    "            conveyor.pop(-1)\n",
    "            produced += 1\n",
    "            ins = None\n",
    "            if start_queue > 0:\n",
    "                start_queue -= 1\n",
    "                ins = Product(operation_times[0])\n",
    "            conveyor = [ins] + conveyor\n",
    "            for k in range(1,len(conveyor)):\n",
    "                if conveyor[k] is not None:\n",
    "                    conveyor[k].time_on_stage = operation_times[k]\n",
    "        \n",
    "    return produced, delay_sum, start_queue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Пример идеального конвейера, где все операции выполняются одинаковое время t, а подвоз осуществляется каждые t+1 секунд, поскольку 1 секунда нужна на сдвиг конвейера. Простои ненулевые за счёт того, что конвейер не сразу заполнен."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0  ===> ||0 ->0 ->0 ->0 ->0 ->0 ->|| ===>  7\n",
      "Произведено:  8\n",
      "Простоев суммарно:  30\n"
     ]
    }
   ],
   "source": [
    "pr, ds, _ = ModelPipeline(6, [2,2,2,2,2,2],3,40)\n",
    "print('Произведено: ', pr)\n",
    "print('Простоев суммарно: ', ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Задача поиска оптимальных времён тривиальна, потому что для любого конвейера известно: производительность конвейера равна производительности самой медленной его части. Нужно просто брать одинаковые времена. Рассмотрим более интересный случай, с разными временами выполнения и требованием найти время подвозки такое, чтобы не создавалась очередь и простои были минимальны."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nt = np.arange(1,21)\n",
    "qm = np.zeros(len(nt))\n",
    "dsm = np.zeros(len(nt))\n",
    "for i in range(len(nt)):\n",
    "    _, dsm[i], qm[i] = ModelPipeline(8, [5,8,6,7,8,4,9,7],nt[i],120, \n",
    "                                     animate = False)\n",
    "plt.plot(nt,dsm, label='Простои (c)')\n",
    "plt.legend()\n",
    "plt.subplots()\n",
    "plt.plot(nt,qm,  label='Очередь (кол-во)')\n",
    "plt.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Легко увидеть, что чем реже мы подвозим детали - тем меньше очередь в начале конвейера. При этом у графика простоя всегда будет некоторое базовое значение, обусловленное заполнением конвейера и неидеальной конструкцией, а затем оно повышается при нехватке материала на старте. То есть налицо трейд-офф между размером очереди в начале и длиной простоя. Это уже многокритериальная оптимизация, но можно сказать, что время около 6 секунд будет оптимальным для минимума суммы этих значений. Если отдать предпочтение минимизации размера очереди, то лучше подвозить материалы раз в 8-9 секунд.\n",
    "Таким образом можно всегда найти оптимальное время подвозки."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Лабораторная работа №4. Банк\n",
    "\n",
    "\n",
    "\n",
    "**Текстовое описание модели:**\n",
    "\n",
    "Банк с несколькими окнами обслуживания, в систему приходят клиенты по закону Пуассона с некоторым средним значением и соответственно со своими запросами, время выполнения каждого запроса случайное, от 5 до 30 минут. Смоделировать банк, проанализировать сервис, чтобы клиенты были довольны обслуживанием, удовлетворенность зависит от времени простоя в очереди. Каждые 4 часа происходит перерыв в несколько минут, посетители это знают и в это время поток сокращается в три раза. Люди подходят в то окно, где меньше очередь.\n",
    "\n",
    "**Время в модели**\n",
    "\n",
    "Дискретное время, шаг 1 минута. Время моделирования - задаётся при запуске модели.\n",
    "\n",
    "**Параметры модели**\n",
    "\n",
    "- `windows_number` - Число окон обслуживания\n",
    "- `clients_intencity` - интенсивность поступления клиентов (в мин.)\n",
    "- `break_length` - длина перерыва\n",
    "- `model_time` - Время, на протяжении которого моделируем (в мин.)\n",
    "- `plot_graphs` - Строить ли графики (нужно при многочисленном моделировании с разными параметрами)\n",
    "\n",
    "**Реализация**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 678,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Client():\n",
    "    def __init__(self):\n",
    "        self.service_time = np.random.randint(5,31)\n",
    "        self.queue_time = 0\n",
    "\n",
    "def BankModel(windows_number,\n",
    "               clients_intencity, \n",
    "               break_length,\n",
    "               model_time, \n",
    "               plot_graphs = True \n",
    "              ):\n",
    "    windows = windows = [[] for _ in range(windows_number)]\n",
    "    x = np.arange(model_time)\n",
    "    queue_times = []\n",
    "    on_break = False\n",
    "    break_left = 0\n",
    "    for i in x:\n",
    "        \n",
    "        new_clients = np.random.poisson(clients_intencity)\n",
    "        \n",
    "        for j in range(new_clients):\n",
    "            queue_lengths = [len(w) for w in windows]\n",
    "            windows[np.argmin(queue_lengths)].append(Client())\n",
    "            \n",
    "        if (i+1)%240 == 0:\n",
    "            on_break = True\n",
    "            break_left = break_length\n",
    "            clients_intencity/=3\n",
    "            \n",
    "        if break_left > 0:\n",
    "            break_left -= 1\n",
    "        elif on_break:\n",
    "            on_break = False\n",
    "            clients_intencity*=3\n",
    "            \n",
    "        for w in windows:\n",
    "            if w: \n",
    "                for k in range(1,len(w)):\n",
    "                    w[k].queue_time += 1\n",
    "                if not on_break:\n",
    "                    if w[0].service_time > 0:\n",
    "                        w[0].service_time -= 1\n",
    "                    else:\n",
    "                        queue_times.append(w[0].queue_time)\n",
    "                        w.pop(0)\n",
    "                else:\n",
    "                    w[0].queue_time += 1\n",
    "    if plot_graphs:\n",
    "        print(\"Наибольшее время ожидания в очереди: \", \n",
    "              np.max(queue_times))\n",
    "        print(\"Среднее время ожидания в очереди: \", \n",
    "              np.mean(queue_times))\n",
    "        \n",
    "        _, ax = plt.subplots(figsize=(15, 7))\n",
    "        plt.hist(queue_times,20)\n",
    "        ax.set_xlabel('Время ожидания')\n",
    "        \n",
    "        _, ax = plt.subplots(figsize=(15, 7))\n",
    "        ax.plot(np.arange(len(queue_times)),\n",
    "                queue_times,label='Время ожидания')\n",
    "        ax.set_xlabel('Кол-во заказов')\n",
    "        ax.legend()\n",
    "    return np.max(queue_times), np.mean(queue_times)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Эксперименты**\n",
    "\n",
    "\n",
    "1) Проанализируем сервис. Найдём такое число окон и наибольшее время перерыва, чтобы при заданной интенсивности максимальное время ожидания не превышало получаса. Для этого опять построим тепловую карту по переменным размера окон и времени перерыва."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 574,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "windows_numbers = np.arange(13,30)\n",
    "break_times = np.arange(0,30)\n",
    "res = np.zeros((len(break_times),len(windows_numbers)))\n",
    "for i in range(len(windows_numbers)):\n",
    "    for j in range(len(break_times)):\n",
    "        m,_  = BankModel(windows_numbers[i],0.6,\n",
    "                         break_times[j],1000,False)\n",
    "        res[j,i] = m\n",
    "        \n",
    "sns.heatmap(res,xticklabels=windows_numbers,\n",
    "            yticklabels=break_times,cmap=\"mako_r\")\n",
    "plt.xlabel(\"Кол-во окон\")\n",
    "plt.ylabel(\"Время перерыва\")\n",
    "pass\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Решение найдено: достаточно взять около 25 окон и можно получить 15-20 минут перерыва. Видно, что после перехода некоего порога по количеству окон оно больше не влияет на максимальное время ожидания, весь вклад идёт от времени перерыва."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для бесперерывной работы можем найти максимальное число окон, при котором банк совершенно точно не справится с потоком клиентов и очередь будет расти бесконечно."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 593,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Наибольшее время ожидания в очереди:  995\n",
      "Среднее время ожидания в очереди:  468.0988040478381\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BankModel(10,0.6,0,10000)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 594,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Наибольшее время ожидания в очереди:  223\n",
      "Среднее время ожидания в очереди:  92.53703077443355\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BankModel(11,0.6,0,10000)\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В данном случае такое пороговое значение - 10 окон."
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Лабораторная работа №5. Теория разбитых окон\n",
    "\n",
    "**Текстовое описание модели:**\n",
    "\n",
    "Моделируется жилой район, с определённым количеством окон, его населяет фиксированное число жителей. Каждый день жители проходят по случайным местам района (максимальное число посещений задаётся) и решают, будут ли они бить стекло или нет. На это решение влияют следующие факторы: порядочность конкретного жителя и число разбитых окон вокруг, которые он увидел. Сама теория предполагает, что планка допустимого понижается при наблюдении правонарушений вокруг, это относится не только к окнам, подробнее: https://en.wikipedia.org/wiki/Broken_windows_theory . Через некоторое число дней окна чинят, а нарушителя могут наказать, немного повысив ему порядочность. Эти опции тоже регулируются. Исследуем поведение модели с различными параметрами.\n",
    "\n",
    "**Время в модели**\n",
    "\n",
    "Дискретное время, шаг 1 сутки. Время моделирования - задаётся при запуске модели.\n",
    "\n",
    "**Параметры модели**\n",
    "\n",
    "- `windows_number` - Число окон на районе\n",
    "- `residents_number` - Количество жителей района\n",
    "- `max_visits` - Максимальное число мест, которые может посетить житель в день\n",
    "- `view_rad` - Радиус \"обзора\" битых окон\n",
    "- `days_to_fix` - Сколько дней требуется на починку окна\n",
    "- `fix_limit` - Лимит на починку в день\n",
    "- `punishments` - Присутствуют ли в системе неотвратимые наказания\n",
    "- `model_time` - Время, на протяжении которого моделируем (в сутках)\n",
    "- `decency_scale` - Параметр для управления общей порядочностью района. Можно сделать неблагополучный или сильно порядочный район. Само распределение порядочности моделируется через нормальное распределение с преобразованием, чтобы получить реалистичный вид, где большинство людей порядочны (ближе к 1) и есть небольшое число маргиналов около нуля. Увеличение этого параметра ведёт к выравниванию порядочности.\n",
    "- `plot_graphs` - Строить ли графики (нужно при многочисленном моделировании с разными параметрами)\n",
    "\n",
    "\n",
    "**Структурная модель**\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "**Математическая модель**\n",
    "\n",
    "Все входные переменные называются так, как указано выше.\n",
    "Порядочность жителя - случайная величина со следующим распределением: \n",
    "\n",
    "$$ |1-|N(0,decency \\ scale)|| $$\n",
    "\n",
    "Каждый день, для каждого жителя:\n",
    "\n",
    "1. n_visits = случайное число из диапазона [0, max_visits]\n",
    "\n",
    "2. Посещаем n_visits мест:\n",
    "\n",
    "    - Выбор случайного окна из диапазона [0, windows_number - 1]\n",
    "\n",
    "    - Со следующей вероятностью житель разбивает окно $$ (1 - resident.decency)^4 * \\frac{1+nbroken}{2*viewrad + 1}$$\n",
    "\n",
    "    - Если в системы включены наказания, то у нарушителя resident.decency+=0.05 вплоть до 1\n",
    "\n",
    "3. Проверяем все сломанные окна на районе, если для окна прошло days_to_fix дней с разбития, то чиним его.\n",
    "\n",
    "\n",
    "\n",
    "**Реализация**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 655,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Window():\n",
    "    def __init__(self):\n",
    "        self.broken = False\n",
    "        self.until_repair = 0\n",
    "        \n",
    "def CollectRangeInfo(windows, position, view_rad):\n",
    "    possible_targets = []\n",
    "    broken_number = 0\n",
    "    for i in range(max(0,position-view_rad), \n",
    "                   min(len(windows), position + view_rad + 1)):\n",
    "        w = windows[i]\n",
    "        if w == False:\n",
    "            possible_targets.append(i)\n",
    "        else:\n",
    "            broken_number += 1\n",
    "    return possible_targets, broken_number\n",
    "\n",
    "# Здесь фактор (1-порядочность) возводится в степень, чтобы люди \n",
    "# с порядочностью близкой к 1 очень редко били окна.\n",
    "# Иначе получается, что они могут внезапно взять и побить окно \n",
    "# с шансом 1% на выборке в год безо всяких причин, \n",
    "# что даёт эффект \"района правонарушителей\", где больше половины хоть \n",
    "# раз разбило окно.\n",
    "\n",
    "def WillBrake(decency, broken_number, view_rad):\n",
    "    return np.random.rand() < ((1 - decency)**4)*\n",
    "                        (1 + broken_number)/(view_rad * 2 + 1)\n",
    "                                            \n",
    "def BrokenWindowsModel(windows_number = 2000,\n",
    "                       residents_number = 200,\n",
    "                       max_visits = 4, \n",
    "                       view_rad = 5,\n",
    "                       days_to_fix = 3,\n",
    "                       fix_limit = 10,\n",
    "                       punishments = False,\n",
    "                       model_time = 200,\n",
    "                       decency_scale = 0.23,\n",
    "                       plot_graphs = True):\n",
    "    \n",
    "    \n",
    "    residents = [abs(1-abs(np.random.normal(scale=decency_scale))) \n",
    "                 for _ in range(residents_number)]\n",
    "    windows = [False]*windows_number\n",
    "    broken = {}\n",
    "    breakers = {}\n",
    "    broken_history = []\n",
    "    x = np.arange(model_time)\n",
    "    if plot_graphs:\n",
    "        print('Распределение порядочности жителей района:')\n",
    "        plt.hist(residents,30)\n",
    "        plt.show()\n",
    "    for i in x:\n",
    "        for i, res  in  enumerate(residents):\n",
    "            visits = np.random.randint(max_visits + 1)\n",
    "            visits = [np.random.randint(windows_number) \n",
    "                      for _ in range(visits)]\n",
    "            for v in visits:\n",
    "                targ, n_broken = CollectRangeInfo(windows, v, view_rad)\n",
    "                if len(targ) > 0 and WillBrake(res, n_broken, view_rad):\n",
    "                    ind = np.random.choice(targ)\n",
    "                    windows[ind] = True\n",
    "                    broken[ind] = days_to_fix\n",
    "                    breakers[i] = 1\n",
    "                    if punishments:\n",
    "                        residents[i] = min(1, res + 0.05)\n",
    "        broken_history.append(len(broken))\n",
    "        to_remove = []\n",
    "        j = 0\n",
    "        for w in broken.keys():\n",
    "            if (j>= fix_limit):\n",
    "                break\n",
    "            broken[w] -= 1\n",
    "            if broken[w] == 0:\n",
    "                windows[w] = False\n",
    "                to_remove.append(w)\n",
    "                j+=1\n",
    "        for w in to_remove:\n",
    "            del broken[w]\n",
    "    \n",
    "    if plot_graphs:\n",
    "        _, ax = plt.subplots(figsize=(12, 6))\n",
    "        print(\"Разбито окон в каждый день\")\n",
    "        ax.plot(x, broken_history)\n",
    "        plt.show()\n",
    "        if punishments:\n",
    "            print(\"Вид распределения порядочности по \\\n",
    "                  результатам применения наказаний: \")\n",
    "            plt.subplots()\n",
    "            plt.hist(residents,30)\n",
    "            plt.show()\n",
    "        print(\"Соотношение бивших и не бивших\")\n",
    "        sns.countplot(x = [True for _ in range (len(breakers))] + \n",
    "            [False for _ in range(residents_number - len(breakers))])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Эксперименты**\n",
    "\n",
    "\n",
    "1) Посмотрим на стандартный благополучный район, без наказаний, где окна чинят за 1 день, а жители много ходят по району."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 658,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение порядочности жителей района:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Разбито окон в каждый день\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Соотношение бивших и не бивших\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BrokenWindowsModel(max_visits = 15,\n",
    "                   view_rad = 25, \n",
    "                   days_to_fix = 1,\n",
    "                   fix_limit = 25, \n",
    "                   punishments = False, \n",
    "                   model_time = 365, \n",
    "                   decency_scale = 0.14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Всё в полном порядке, иногда случаются инциденты, но очень редко. Окна били единицы, в системе где изначально большинство жителей добропорядочны наказания не сильно нужны."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2) Та же модель, но теперь население имеет в среднем более низкую порядочность, маргиналов намного больше "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 660,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение порядочности жителей района:\n"
     ]
    },
    {
     "data": {
      "image/png": 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l6ZVXXtGHH36oWbNmhf1aGRkj5HQ6onp8t9sV1fmIDvuNDXuzXzx3yj8/hBOvn4+Y43z9+nX9+9//1ve///2Q+y3L0uLFi+VyffUNzJgxQ2fOnIkY587O7qge3+12qaOjK7qhERX2Gz1+Lu+NeO6Uf34Ix86fj3Chj/lp7b/97W/6wQ9+0O9+n8+nuXPnyu/3y7IsHT9+nN89AwAQhZivnM+fP6/MzMzg7YMHD6q7u1sej0cVFRUqKSlRamqqnnrqKc2YMcOWYQEAGAxijvNPfvKTkNvz5s0Lfpyfn6/8/PyYhwIAYDDjRUgAADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDDEGQAAwxBnAAAM40z0AAAQSWl1U1I+FnA7XDkDAGAY4gwAgGGIMwAAhiHOAAAYhjgDAGAY4gwAgGGIMwAAhiHOAAAYhjgDAGAY4gwAgGFifvnO/Px8uVwuSVJmZqaqqqqCx5qamrR9+3Y5nU4VFBTo+eefv/tJAQAYJGKKc09PjySprq6u37G+vj5VVVWpoaFBw4cPV1FRkWbNmiW32313kwIAMEjE9LT22bNndePGDZWWlqqkpEQtLS3BY+fOnVNWVpbuv/9+paam6oknntCJEyfsmhcAgKQX05XzsGHDVFZWpsLCQl24cEFLlizRoUOH5HQ65fP5gk93S9LIkSPl8/lsGxgAgGQXU5yzs7M1fvx4paSkKDs7W+np6ero6NDYsWOVlpYmv98fPNfv94fE+nYyMkbI6XRENYfbHfnrJpt5y9+N22PFc7+xfl8Htz1n8yS3F8uM8ZwPwL0Xrz8XY4pzQ0ODPvvsM61bt05XrlyRz+cL/k75oYceUnt7u65du6YRI0boxIkTKisri/g1Ozu7o5rB7Xapo6MrlvFxhwbCfk2f0fT5AETHzn+nw4U+pjgvXLhQq1evVlFRkVJSUrRx40Z98MEH6u7ulsfj0apVq1RWVibLslRQUKAHH3ww5uEBABhsYopzamqqtm3bFnLf1KlTgx/Pnj1bs2fPvrvJAAAYpHgREgAADEOcAQAwDHEGAMAwxBkAAMMQZwAADEOcAQAwDHEGAMAwxBkAAMMQZwAADEOcAQAwTEwv3wmYorS6KerPeWdV/F5aNpb5pNhmjOdjAbi3uHIGAMAwxBkAAMMQZwAADEOcAQAwDHEGAMAwxBkAAMMQZwAADEOcAQAwDHEGAMAwxBkAAMMQZwAADEOcAQAwDHEGAMAwvCvVt8T6zj6xMP3dgHiXo8SJ589hPB8LwJ3hyhkAAMMQZwAADEOcAQAwTEy/c+7r69OaNWt06dIl9fb26uWXX9YzzzwTPL579241NDRo9OjRkqQ33nhDEyZMsGdiAACSXExxbmxsVHp6urZs2aLOzk7Nnz8/JM5tbW3atGmTJk+ebNugAAAMFjHF+dlnn1VeXl7wtsPhCDne1tamXbt2qaOjQzNnztRPf/rTu5sSAIBBJKY4jxw5UpLk8/m0bNkylZeXhxyfM2eOiouLlZaWpldeeUUffvihZs2aFfZrZmSMkNPpCHvOt7ndrqjON81An/92TP++TJ8PgLni9edHzP+f8+eff66lS5equLhY8+bNC95vWZYWL14sl+urb2DGjBk6c+ZMxDh3dnZH9fhut0sdHV3RD26QgT7/7Zj+fZk+HwBz2fnnR7jQx/S3ta9evarS0lK9+uqrWrhwYcgxn8+nuXPnyu/3y7IsHT9+nN89AwAQhZiunN966y1dv35dO3bs0I4dOyRJhYWFunHjhjwejyoqKlRSUqLU1FQ99dRTmjFjhq1DAwCQzGKK89q1a7V27drbHs/Pz1d+fn6sMwEAMKjxIiQAABiGOAMAYJikfVcq3mkncdg9ANwdrpwBADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDDEGQAAwxBnAAAMQ5wBADAMcQYAwDBJ+5aRAwFvrZgY7B2A6bhyBgDAMMQZAADDEGcAAAxDnAEAMAxxBgDAMMQZAADDEGcAAAxDnAEAMAxxBgDAMMQZAADDxBTnQCCgyspKeTweeb1etbe3hxxvampSQUGBPB6P6uvrbRkUAIDBIqY4Hz58WL29vdq/f7+WL1+u6urq4LG+vj5VVVXpnXfeUV1dnfbv36+Ojg7bBgYAINnFFOeTJ08qJydHkjRlyhSdPn06eOzcuXPKysrS/fffr9TUVD3xxBM6ceKEPdMCADAIxPSuVD6fT2lpacHbDodDN2/elNPplM/nk8vlCh4bOXKkfD5fxK/pdrsinhPN5xzc9lzUXw8AgHBiaVUsYrpyTktLk9/vD94OBAJyOp23POb3+0NiDQAAwospzlOnTlVzc7MkqaWlRZMmTQoee+ihh9Te3q5r166pt7dXJ06c0OOPP27PtAAADAIplmVZ0X5SIBDQunXr9Nlnn8myLG3cuFFnzpxRd3e3PB6PmpqatH37dlmWpYKCAr3wwgv3YnYAAJJSTHEGAAD3Di9CAgCAYYgzAACGMT7OvBqZPSLt8b333lNhYaEWLVqkyspKBQKBBE1qvki7/Nprr72mrVu3xnm6gSXSLj/55BMVFxerqKhIy5YtU09PT4ImNV+kXTY2Nmr+/PkqKCjQ3r17EzTlwNHa2iqv19vv/rg1xzLcn//8Z2vlypWWZVnWqVOnrJ/97GfBY729vdYPf/hD69q1a1ZPT4+1YMEC64svvkjUqEYLt8cbN25YzzzzjNXd3W1ZlmVVVFRYhw8fTsicA0G4XX7tD3/4g/X8889bW7Zsifd4A0q4XQYCAetHP/qRdeHCBcuyLKu+vt46d+5cQuYcCCL9XD799NNWZ2en1dPTE/xzE7e2a9cua+7cuVZhYWHI/fFsjvFXzrwamT3C7TE1NVX79u3T8OHDJUk3b97U0KFDEzLnQBBul5J06tQptba2yuPxJGK8ASXcLs+fP6/09HT97ne/04svvqhr165pwoQJiRrVeJF+Lr/zne+oq6tLvb29sixLKSkpiRhzQMjKylJNTU2/++PZHOPjfLtXI/v6WCyvRjYYhdvjfffdpzFjxkiS6urq1N3draeffjohcw4E4Xb5xRdf6Le//a0qKysTNd6AEm6XnZ2dOnXqlIqLi7V792795S9/0bFjxxI1qvHC7VKSJk6cqIKCAs2ZM0czZ87UqFGjEjHmgJCXlxd8Ya3/L57NMT7OvBqZPcLt8evbmzZt0tGjR1VTU8N/VYcRbpeHDh1SZ2enXnrpJe3atUvvvfeeDhw4kKhRjRdul+np6Ro/frwefvhhDRkyRDk5Of2uBvGNcLs8e/asPvroIx05ckRNTU3673//qw8++CBRow5Y8WyO8XHm1cjsEW6PklRZWamenh7t2LEj+PQ2bi3cLktKSnTgwAHV1dXppZde0ty5c7VgwYJEjWq8cLscN26c/H5/8C82nThxQhMnTkzInANBuF26XC4NGzZMQ4cOlcPh0OjRo3X9+vVEjTpgxbM5Mb3xRTzl5ubq6NGjWrRoUfDVyA4ePBh8NbJVq1aprKws+GpkDz74YKJHNlK4PU6ePFkNDQ2aNm2aFi9eLOmryOTm5iZ4ajNF+pnEnYu0yw0bNmj58uWyLEuPP/64Zs6cmeiRjRVplx6PR8XFxRoyZIiysrI0f/78RI88YCSiObxCGAAAhjH+aW0AAAYb4gwAgGGIMwAAhiHOAAAYhjgDAGAY4gwAgGGIMwAAhiHOAAAY5v8AdSG0Kg6xUGoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Разбито окон в каждый день\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Соотношение бивших и не бивших\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BrokenWindowsModel(max_visits = 15, \n",
    "                   view_rad = 25, \n",
    "                   days_to_fix = 1,\n",
    "                   fix_limit = 25, \n",
    "                   punishments = False, \n",
    "                   model_time = 365, \n",
    "                   decency_scale = 0.45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Каждый день разбито по 3-6 окон, половина жителей нарушает правила, но починка справляется с проблемой.\n",
    "Стоит только замедлить темпы починки и всё станет совсем плохо:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 665,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение порядочности жителей района:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Разбито окон в каждый день\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Соотношение бивших и не бивших\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BrokenWindowsModel(max_visits = 15, \n",
    "                   view_rad = 25, \n",
    "                   days_to_fix = 6,\n",
    "                   fix_limit = 10, \n",
    "                   punishments = False, \n",
    "                   model_time = 365, \n",
    "                   decency_scale = 0.45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Район разрушен до основания, хотя всё что изменилось - добавилась небольшая группа людей,\n",
    "начинающих бить окна без особой мотивации.\n",
    "Остальные видят разруху и подключаются, отсюда такое соотношение. \n",
    "Всё же почти половина людей к этому отношения не имела.\n",
    "Продолжим модифицировать систему и введём наказания:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 667,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение порядочности жителей района:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Разбито окон в каждый день\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Вид распределения порядочности по результатам применения наказаний: \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Соотношение бивших и не бивших\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BrokenWindowsModel(max_visits = 15, \n",
    "                   view_rad = 25, \n",
    "                   days_to_fix = 6,\n",
    "                   fix_limit = 10, \n",
    "                   punishments = True,\n",
    "                   model_time = 365, \n",
    "                   decency_scale = 0.45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Хотя ситуация не очень хорошая, но по крайней мере наказания смогли справиться с полным разрушением района. В реализации мера наказания фиксирована, если сделать наказание невероятно строгим и добавлять приличие за проступок не только нарушившему в большом размере, но и всем жителям понемногу в качестве устрашения, то битых окон вообще не будет. В реальности, конечно, такое работает плохо. Некоторым серьёзность наказания просто не помеха."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3) Последнее - неблагополучный район с быстрой починкой и наказаниями на большой дистанции (5 лет). Посмотрим на прогресс и процесс перевоспитания района."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 672,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Распределение порядочности жителей района:\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Разбито окон в каждый день\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Вид распределения порядочности по результатам применения наказаний: \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Соотношение бивших и не бивших\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "BrokenWindowsModel(max_visits = 15, \n",
    "                   view_rad = 25, \n",
    "                   days_to_fix = 5,\n",
    "                   fix_limit = 15, \n",
    "                   punishments = True, \n",
    "                   model_time = 1825, \n",
    "                   decency_scale = 0.55)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На этой модели можно провести ещё очень много экспериментов, но на данный момент можно сделать вывод, что если ситуацию в неблагополучных районах своевременно не регулировать, то можно получить разрушенный район из совершенно нового. Пример из жизни: https://en.wikipedia.org/wiki/Pruitt%E2%80%93Igoe . В благополучных районах наказание и скорость починки на ситуацию почти никак не влияют, в плохих же - влияют критически. "
   ]
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}