Since time measurements vary, you decide to mock time.time() so you can test your code. Here’s a function-based context manager that can help you do that: Python >>> from contextlib import contextmanager >>> from time import time >>> @contextmanager ... def mock_time(): ... ...
在之前的博客中介绍了moco的详细的使用,它主要是基于moco-runner-0.11.0-standalone.jar,通过编写json的文件来实现,那么我们现在来看python之中的mock,那么怎么理解mock了,mock翻译过来就是模拟的意思,也就是说,它是将测试对象所依存的对象替换为虚构对象的库,该虚构对象的调用允许事后查看。在python的2.x版本中,它...
一个更优雅的解决方案是将 mock 模块与 with statement 一起使用。这样您就不需要使用拆解,修补后的方法只会存在于 with 范围内。 import mock import module def test_function(): with mock.patch.object(__builtins__, 'input', lambda: 'some_input'): assert module.function() == 'expected_output' ...
'MagicMock','Mock','NonCallableMagicMock','NonCallableMock','PropertyMock','__all__','__builtins__','__doc__','__file__','__name__','__package__','__path__','__version__','_mock','absolute_import','call','create_autospec','mock','mock_open','patch','sentinel','vers...
mock code: importunittest.mockimportmock_funcclassTestMockFunc(unittest.TestCase):deftest_main(self):'''style 1: using with statement and nested function'''print('test_main')# backup original function for normal callorig_func = mock_func.get_value# nested function for mock side_effectdeffake...
from unittest.mock import Mock r = Mock() p = mock.patch('requests.get', return_value=r) mock_func = p.start() requests.get(...) # ... do some asserts p.stop() # Good r = Mock() with mock.patch('requests.get', return_value=r): ...
Creating Suites With the load_tests() Function Creating Test Fixtures Test Fixtures Class-Level Fixtures Module-Level Fixtures Debugging Failing Tests A Quick Example: FizzBuzz A Test-Driven Example: Rock, Paper, and Scissors Testing With Fake Objects: unittest.mock ConclusionRemove...
unittest.mock --- mock object library unittest.mock 上手指南 2to3 - 自动将 Python 2 代码转为 Python 3 代码 test --- Regression tests package for Python test.support --- Utilities for the Python test suite test.support.script_helper --- Utilities for the Python execution tests ...
mock:(Python 标准库) 一个用于伪造测试的库 doublex:Python 的一个功能强大的 doubles 测试框架 freezegun:通过伪造日期模块来生成不同的时间 httmock:针对 Python 2.6+ 和 3.2+ 生成 伪造请求的库 httpretty:Python 的 HTTP 请求 mock 工具 responses:伪造 Python 中的 requests 库的一个通用库 VCR.py:在你...
Check if there are integration tests to simulate real-world interactions with external systems like databases or APIs Examine the use of mock objects and test fixtures for isolating and testing specific components or functionalities in Python