{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# TASK 26.01" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "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)" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 2 }