{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TASK 26.01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mRunning cells with 'venv (Python 3.11.8)' requires the ipykernel package.\n",
      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
      "\u001b[1;31mCommand: '/home/stvnliu/Development/Learn/cs-y13/.devenv/state/venv/bin/python -m pip install ipykernel -U --force-reinstall'"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "import pickle\n",
    "import random # data generator\n",
    "class Car:\n",
    "    def __init__(self, car_id):\n",
    "        self.VehicleID = car_id\n",
    "        self.__Registration = \"\"\n",
    "        self.__Date = datetime.datetime.now()\n",
    "        self.__EngineSize = -1\n",
    "        self.__PurchasePrice = 5900_00\n",
    "def data_generator():\n",
    "    cars = []\n",
    "    for i in range(40):\n",
    "        s = \"ID\"\n",
    "        for i in range(10):\n",
    "            s += str(random.randint(0, 9))\n",
    "        cars.append(Car(s))\n",
    "    return cars\n",
    "with open(\"cars.dat\", 'wb+') as carfile:\n",
    "    for car in data_generator():\n",
    "        print(car.VehicleID)\n",
    "        pickle.dump(car, carfile)"
   ]
  }
 ],
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   "file_extension": ".py",
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