#!/usr/bin/env python3 # coding=utf-8 # Version:python3.6.1 # Project:practice # File:Python就业班——初识面向对象.py # Data:2020/7/10 16:15 # Author:LGSP_Harold # 判断一个对象是否是一个已知的类型 # isinstance(obj, class) # isinstance(22, int) # 判断是否为子类 # issubclass(Cat, BaseCat) True or False # ———————————————————————————— # @property：将类的方法当做属性来使用 # class Cat(object): # # def __init__(self, name, age): # self.name = name # self.__age = age # # @property # def age(self): # return self.__age # # @age.setter # def age(self, value): # if not isinstance(value, int): # print('年龄只能是整数') # return 0 # if not 0 <= value <= 100: # print('年龄只能介于0-100之间') # return 0 # self.__age = value # # @property # def show_info(self): # return '我叫{0},今年{1}岁'.format(self.name, self.age) # ———————————————————————————— # __slots__：为指定的类设置一个静态属性列表，为属性很少的类节约内存空间 # class Cat(object): # __slots__ = ('name', 'age') # # def __init__(self, name, age): # self.name = name # self.age = age # # @property # def show_info(self): # return '{0},{1}'.format(self.name, self.age) # # def __str__(self): # return '我的对象：{0}'.format(self.name) # # # def eat(): # print('我吃鱼') # # # class DuanCat(Cat): # """ # 蓝短猫 # """ # pass # # # class PersianCat(Cat): # """ # 波斯猫 # """ # __slots__ = ('sex', 'eat', ) # pass # ———————————————————————————— # 类的静态方法和实例方法 # @staticmethod：表示静态方法 # @classmethod：类的方法 # class Cat(object): # # tag = '猫科' # # def __init__(self, name): # self.name = name # # @staticmethod # def breath(): # print('呼吸') # # def show_info(self): # print('类的属性：{0}，实例的属性：{1}'.format(self.tag, self.name)) # # # @classmethod # # def show_info1(cls): # # # cls.name ==> Cat.name # # print('类的属性：{0}，实例的属性：{1}'.format(cls.tag, cls.name)) # # @classmethod # def show_info2(cls, name): # # cls.name ==> Cat.name # # print('类的属性：{0}，实例的属性：{1}'.format(cls.tag, cls.name)) # return cls(name) # ———————————————————————————— # 装饰器 # 用来拓展原来函数功能的一种函数 # 返回函数的函数 # 在不用更改原函数的代码前提下给函数增加新的功能 # def log(func): # def wrapper(): # print('start....') # func() # print('end....') # return wrapper # # # @log # def hello(): # print('hello') # 带参数的装饰器 # def log(name=None): # def decorator(func): # def wrapper(): # print('{0}Start....'.format(name)) # func() # print('{0}End....'.format(name)) # return wrapper # return decorator # # # @log() # @log('you') # def hello(): # print('hello') # # # def log(name=None): # def decorator(func): # def wrapper(*args, **kwargs): # print('{0}Start....'.format(name)) # print(args) # print(kwargs) # rest = func(*args, **kwargs) # print('{0}End....'.format(name)) # return rest # return wrapper # return decorator # # # @log('from add') # def add(a, b, *args, **kwargs): # return a + b # def log(func): # def wrapper(*args, **kwargs): # rest = func(*args, **kwargs) # return rest # return wrapper # # # @log # def add(*args, **kwargs): # j = 0 # for item in args: # j += item # return j # # @wraps(func)用法 # def log(name=None): # def decorator(func): # @wraps(func) # def wrapper(a, b, *args, **kwargs): # """ 装饰器内部的函数 """ # print('Start,{0}'.format(name)) # print('{0}{1}'.format(func.__name__,func.__doc__)) # num = func(a, b, *args, **kwargs) # print('End') # return num # print('{0}{1}'.format(func.__name__, func.__doc__)) # return wrapper # return decorator # # # @log('Leslie') # def add(a, b, *args, **kwargs): # """ 加法计算 """ # return a + b # # 类的装饰器 # def func(self): # print('{0}我要吃东西【func()】'.format(self.name)) # # # def eat(cls): # """ 吃东西装饰器 """ # cls.eat = lambda self: print('{0}我要吃东西【eat()】'.format(self.name)) # cls.eat1 = func # return cls # # # @eat # class Dog(object): # """ 狗类 """ # def __init__(self, name): # self.name = name # ———————————————————————————— # 迭代器 # 1、迭代（iterate）意味着重复多次，就像循环那样（list，tuple） # 2、实现了方法__iter__的对象是可迭代的，而实现了方法__next__的对象是迭代器 # 3、调用方法__next__时，（或next()），迭代器返回其下一个值 # 4、如果迭代器没有可供返回的值，触发StopIteration异常 # 从迭代器创建序列 # class PowNumber(object): # """ # 迭代器 # 生成1，2，3，....数的平方 # """ # value = 0 # def __next__(self): # self.value += 1 # if self.value > 20: # raise StopIteration # return self.value * self.value # # def __iter__(self): # return self # ———————————————————————————— # 生成器 # 生成器是一种使用普通函数语法定义的迭代器 # 包含yield语句的函数都被称为生成器 # 不使用return返回一个值，而是可以生成多个值，每次一个 # 每次使用yield生成一个值后，函数都将冻结，即在此停止执行 # 被重新唤醒后，函数将从停止的的地方开始继续执行 # def pow(): # yield 1 # yield 2 # yield 3 # yield 4 # yield 5 # yield 6 # # # def pow_number(): # return (x * x for x in [1, 2, 3, 4, 5]) # # # def pow_number1(): # for x in [1, 2, 3, 4, 5]: # yield x * x # 模拟range函数 # # 迭代器 # class IterRange(object): # # def __init__(self, start, end): # self.start = start - 1 # self.end = end # # def __next__(self): # self.start += 1 # if self.start >= self.end: # raise StopIteration # return self.start # # def __iter__(self): # return self # # # # 生成器 # class GenRange(object): # # def __init__(self, start, end): # self.start = start # self.end = end # # def get_num(self): # while True: # if self.start >= self.end: # break # yield self.start # self.start += 1 # # # def imitate_range(start, end): # while True: # if start >= end: # break # yield start # start += 1 # ———————————————————————————— # 异常捕获 # try: # pass # except Exception as err: # print(err) # finally: # pass # 自定义异常 # class ApiException(Exception): # err_code = '' # err_msg = '' # def __init__(self, err_code=None, err_msg=None): # self.err_code = self.err_code if self.err_code else err_code # self.err_msg = self.err_msg if self.err_msg else err_msg # def __str__(self): # return 'Error{0}-{1}'.format(self.err_code, self.err_msg) # # # class InvalidCtrlExec(ApiException): # err_code = '40001' # err_msg = '不合法调用凭证' # # # class BadPramsException(ApiException): # err_code = '40002' # err_msg = '两个参数必须都是整数' # # # # # def divide(num1, num2): # if not isinstance(num1, int) or not isinstance(num2, int): # raise BadPramsException() # if num2 == 0: # raise ApiException('40000', '除数不能为0') # return num1 / num2 # # 抛出异常及异常的传递 # class MyException(Exception): # pass # # # def v_for(): # """ 自定义函数 """ # for i in range(1, 100): # if i == 20: # raise MyException # print(i) # # # def call_v_for(): # """ 调用v_for函数 """ # print("开始调用") # v_for() # print("结束调用") # # # def test_rasie(): # print("测试函数") # try: # call_v_for() # except MyException: # print('____________________________') # print("测试完毕") if __name__ == '__main__': # cat = Cat('XX', 10) # rest = cat.show_info # print(rest) # cat.age = 10 # rest = cat.show_info # print(rest) # ———————————————————————————— # cat_b = Cat('xx', 12) # rest = cat_b.show_info # print(rest) # # 给实例添加新的属性 # cat_b.color = 'while' # print(cat_b.color) # # 给实例添加新的方法 # cat_b.eat = eat # cat_b.eat() # 使用slots后不允许给实例添加新的属性 # cat_b.color = 'black' # print(cat_b.color) # 使用slots后不允许给实例添加新的方法 # cat_b.eat = eat # cat_b.eat() # # 使用__slots__要注意，__slots__定义的属性仅对当前类起作用，对继承的子类是不起作用的：(视频此处总结有误) # duan_cat = DuanCat('oo', 15) # rest = duan_cat.show_info # print(rest) # duan_cat.color = 'blue' # print(duan_cat.color) # # 在子类中也定义__slots__，这样，子类允许定义的属性就是自身的__slots__加上父类的__slots__。 # persian_cat = PersianCat('hh', 0) # rest = persian_cat.show_info # print(rest) # persian_cat.sex = '母' # print(persian_cat.sex) # persian_cat.eat = eat # persian_cat.eat() # persian_cat.color = 'while' # print(persian_cat.color) # ———————————————————————————— # # 通过类进行调用 # Cat.breath() # cat = Cat('小黑') # # 通过类的实例化进行调用 # cat.breath() # cat.show_info() # # cat.show_info1() # 此处视频内容不知是太难了还是讲师只是讲个大概（类方法），反正我没听懂，建议看文档自行理解。 # 调用classmethod # cat2 = Cat.show_info2('oo') # cat2.show_info() # ———————————————————————————— # hello() # hello() # rest = add(5, 6) # print(rest) # rest = add(5, 6) # print(rest) # rest = add(5, 6) # print('{0}{1}'.format(add.__name__, add.__doc__)) # print(rest) # # 类的装饰器 # dog = Dog('小黑') # dog.eat() # dog.eat1() # ———————————————————————————— # 迭代器 # pow = PowNumber() # print(pow.__next__()) # print(pow.__next__()) # print(next(pow)) # print(next(pow)) # for i in pow: # print(i) # ———————————————————————————— # 生成器 # rest = pow() # print(next(rest)) # print(next(rest)) # print(next(rest)) # print('__________________') # for i in rest: # print(i) # print('__________________') # rest1 = pow_number1() # print(rest1.__next__()) # print(next(rest1)) # ———————————————————————————— # 模拟range函数 # iter = IterRange(5, 10) # print(list(iter)) # # gen = GenRange(5, 10).get_num() # print(list(gen)) # # imitate = imitate_range(5, 10) # print(list(imitate)) # ———————————————————————————— # 自定义异常 # try: # rest = divide(4, 0) # # rest = divide(4, "00") # print(rest) # # except ApiException as err: # print('出错了') # print(err) # test_rasie() pass