>>>class B: ... def __init__(self): ... self.a = 'a' ... >>>b = B() >>>fake_obj = MagicMock(b) <MagicMock spec='B' id='4370614160'> >>>fake_obj.a 'a' >>>fake_obj.b AttributeError: Mock object has no attribute 'b' 1. 2. 3. 4. 5. 6. 7. 8. 9. 10....
classMyClass:def__init__(self):self.__private_value="secret_value"defget_private_value(self):returnself.__private_valuedefmodify_private_value(self,new_value):self.__private_value=new_valueimportunittestfromunittest.mockimportpatchclassTestMyClass(unittest.TestCase):@patch.object(MyClass,'_MyCl...
@patch("module名字.方法名") @patch.object(类名, "方法名") patch作为装饰器,需要把你想模拟的函数写在里面,然后在后面的单元测试案例中为它赋一个具体实例,再用return_value 来指定模拟函数返回的结果。 改造上面的单元测试: from unittest import mock import unittest import demo class TestReq(unittest.Te...
一、使用Python来写mock代码🔨🔨 1.Mock基本用法 使用Mock能创建你能访问(模拟)的属性和方法 指定类或者函数的返回值和断言方式 创建handle_mock_01.py文件 # 1. 导入mock模块fromunittestimportmockclassPayment(object):""" 创建支付类 """passpayment = Payment()# 2. 创建Mock对象, 作为Payment的实例方法...
@GROUP: 829792258 --- """ import unittest from unittest import mock class SubClass(object): def add(self, a, b): """两个数相加""" pass class TestSub(unittest.TestCase): """测试两个数相加用例""" def test_sub(self): sub = SubClass() # 初始化被测函数类实例 sub.add = mock...
在 Python 3.3 之前使用 mock，需要先安装依赖 # 安装mock依赖pip3 install mock 假设 Product 类中有 2 个方法 get_product_status_by_idbuy_product 其中，get_product_status_by_id 方法还没有实现；buy_product 方法依赖于 get_product_status_by_id 方法的返回值 # product_impl.pyclass Product(object)...
2.mock对象中的方法:mock.patch跟mock.patch.object #!/usr/bin/env python#-*- coding: utf-8 -*-importmockclassBy(object):defadd(self, a, b):returna + b +self.multiply(a,b)defmultiply(self, a, b):passb=By()classMockDemo(object):def__init__(self): ...
class Mock(spec=None, side_effect=None, return_value=DEFAULT, wraps=None, name=None, spec_set=None, **kwargs) 这里给出这个定义只是要说明下Mock对象其实就是个Python类而已,当然,它内部的实现是很巧妙的,有兴趣的可以去看mock模块的代码。
The Mock class allows you to imitate real objects, and the patch() function lets you temporarily substitute mocks for real objects in your tests. By the end of this tutorial, you’ll understand that: A mock in Python is a substitute object that simulates a real object in a testing ...
ExecutorService chatExecutor = Mockito.mock(ExecutorService.class);doAnswer( (Answer<Object>) invocation -> { Object[] args = invocation.getArguments(); Callable callable = (Callable) args[]; Object result = callable.call(); FutureTask futureTask = Mockito.mock(FutureTask.class);...