from unittestimportmockimportunittestclassPeopleTest(unittest.TestCase):deftest_name(self):#调用被测试类People()p=People()p.name=mock.Mock(return_value='Hello Mock')p.name('a','b')p.name.assert_called_once()if__name__=='__main__':unittest.main(verbosity=2) 2、执行MockTest_assert.py...
为了实现这一目的,unittest.mock模块提供了一系列的断言方法,例如: assert_called_once_with:验证Mock对象被调用且仅被调用一次,并且参数与预期相符。 assert_called_with:验证Mock对象被调用,并且参数与预期相符。 assert_called_once:验证Mock对象被调用且仅被调用一次。 通过这些断言方法,我们可以轻松地验证Mock对象的...
assert result == 'processed_data' fetcher_mock.fetch_data.assert_called_once() processor_mock.process_data.assert_called_once_with([1, 2, 3]) validator_mock.is_valid.assert_called_once_with([1, 2, 3]) 在这个例子中,我们添加了一个新的 DataValidator 类,用于验证数据的有效性。我们将 Data...
tc = TestClass()# 使用MagicMock创建并替换原来的func方法,并指定其被调用时的返回值tc.func = MagicMock(return_value='666')print(tc.func(2,3))# 判断func是否按照指定的方式被调用,如果没有,# 比如这里指定assert_called_with(4, 5),就会抛出异常,# 因为之前使用的是tc.func(2, 3)来进行调用的print...
mock_request.return_value.status_code=200mock_request.return_value.json.return_value={'name':'John Doe'}response=send_request(url,method,headers,params)mock_request.assert_called_once_with(method,url,headers=headers,params=params)assertresponse.status_code==200assertresponse.json()=={'name':'...
assert_called_once_with(assertion='assert this') # The decorator called patch is a bit like the Sinon mock function we saw in the last chapter. It lets you specify an object you want to “mock out”. In this case we’re mocking out the authenticate function, which we expect to be ...
assert_called_once_with(data=self.request.POST) def test_saves_form_with_owner_if_form_valid(self, mockNewListForm): mock_form = mockNewListForm.return_value mock_form.is_valid.return_value = True new_list2(self.request) mock_form.save.assert_called_once_with(owner=self.request.user) ...
json.loads.assert_called() >>> json.loads.assert_called_once() >>> json.loads.assert_called_with('{"key": "value"}') >>> json.loads.assert_called_once_with('{"key": "value"}')datetime = Mock() datetime.datetime.today.return_value = "tuesday" requests = Mock() requests.get....
assert n != 0, "n is zero" return 10/n main(0) Return: "AssertionError: n is zero s" Checking the type if isinstance(p, tuple): # this is good if type(p) == tuple: # this is bad Timing the code import time start = time.perf_counter() ...
1.使用wx.PyTimer定时器会一直进行循环使用start,当然也有其他方法StartOnce只执行一次。Stop去停止定时器。 2.但是我们使用带有参数的定时器时: self.timer2 = wx.CallLater(1000,self.OnCallTimer,1,2,3) #带参数的定时器 默认只会执行一次该定时器,要想继续执行,我们需要在设置的回调函数中在进行重启定时器...