my_new_car = Car('audi', 'a4', 2019) print(my_new_car.get_descriptive_name()) my_new_car.read_odometer() my_new_car.odometer_reading = 23 #直接修改属性的值 my_new_car.read_odometer() my_new_car.update_odometer(100) my_new_car.read_odometer() 1. 2. 3. 4. 5. 6. 7. 8...
def drive_car(miles_to_drive, fuel_level): required_fuel = miles_to_drive * FUEL_CONSUMPTION_RATE if fuel_level < required_fuel: raise NotEnoughFuelError(f"油量不足以行驶{miles_to_drive}英里!") try: drive_car(200, 50) except NotEnoughFuelError as nfe: print(nfe)3.3 上下文管理器与w...
没有一个通用的Car类会明显地有一个honkHorn()方法或者numberOfCupholders属性,仅仅因为那些是真实世界的汽车所具有的特征。你的程序可能是一个汽车经销商网络应用,一个赛车视频游戏,或者一个道路交通模拟。汽车经销商 Web 应用的Car类可能有milesPerGallon或manufacturersSuggestedRetailPrice属性(就像汽车经销商的电子表...
if (msg == '4') { luncher_car(); } if (msg == '5') { shut_down_car(); } if (msg == '6') { find_my_car(); } if (msg == '7') { click_loop(); } if (msg == '8') { click_lock(); } if (msg == 'r') { read_status(); } } delay(5); } } 1. 2....
参考王艳和许烨琪(2022)的做法,并购短期市场绩效(CAR)使用累计超额收益率进行计算, 把并购首次公告日确定为第0天,采用市场模型法计算。选取[-240,-2]作为市场模型估计的估计窗口,将并购首次公告日前后1天[-1,1]作为事件窗口期进行研究。其中: [-1,0]考察的是并购消息提前泄露窗口期的市场反应 ...
pythonCopy code class Car: def __init__(self, brand, model): self.brand = brand ...
1. Finding Python source code for things you need. 寻找你需要的Python代码。2. Reading through the code and looking for files. 通读所有代码并在文件中找到合适的代码。3. Trying to understand code you find. 尝试理解你找到的代码。下面是你要做的:...
classCar:def__init__(self, number_of_wheels, seating_capacity, maximum_velocity): self.number_of_wheels = number_of_wheels self.seating_capacity = seating_capacity self.maximum_velocity = maximum_velocity 已经实现了我们的汽车类: my_car = Car(4,5,250) ...
is_today_ture=False # 判断今天是否存在某趟列车的标记 for i in today_car_list: # 遍历今天的车次信息,该车次信息是没有筛选的信息 if info[0] in i: # 判断整合后的车次,在今天的车次信息中是否存在 is_today_ture=True # 存在就进行标记 info.append(i[6]) # 如果存在就将车次信息中是否有卧铺...
import easygui as egresult = eg.indexbox('Which door do you choose?', 'Win Prizes!', choices=['Door 1', 'Door 2', 'Door 3'])if result == 2:eg.msgbox('You win a new car!')else:eg.msgbox('Better luck next time.')