pytest

I am having problems importing anything into my testing files that I intend to run with py.test. I have a project structure as follows: /ProjectName | |-- /Title | |-- file1.py | |-- file2.py | |-- file3.py | |-- __init__.py | |-- /test | |-- test_file1.py I have not been able to get any import statements working with pytest inside the test_file1.py file, and so am currently just attempting to use a variable declared in file_1.py and print it out when test_file1.py is run. file1.py contains: file1_variable = "Hello" test_file1.py contains: import sys import os sys.path.append(os.path.abspath('

I would like to control the order of my tests using logic which will reorder them on the fly, while they are already running. My use case is this: I am parallelizing my tests with xdist, and each test uses external resources from a common and limited pool. Some tests use more resources than others, so at any given time when only a fraction of the resources are available, some of the tests have the resources they need to run and others don't. I want to optimize the usage of the resources, so I would like to dynamically choose which test will run next, based on the resources currently available.

pytest 1，最简单的示例 import pytest def test_case_01(): print("执行test01") assert 1 # 断言成功 def test_case_02(): print("执行test02") assert 0 # 断言失败 if __name__ == '__main__': pytest.main(['test_01.py']) 运行结果如下： pytest 1，最简单的示例 import pytest def test_case_01(): print("执行test01") assert 1 # 断言成功 def test_case_02(): print("执行test02") assert 0 # 断言失败 if __name__ == '__main__': pytest.main(['test_01.py']) 运行结果如下： 如图所示： 在执行完成之后先会显示test01.py，后面跟着.F 其中.代表执行成功，F代表执行失败，并且在下方会展示错误的提示 2，pytest使用步骤： 1，导入pytest 2，编写测试用例 一，无需在测试类下编写测试用例，可以直接编写测试函数 二，测试函数名必须包含test_ 开头,或者_test结尾； 3，在pytest框架下执行测试用例 在py文件内执行测试用例: pytest

I have a mixed Python/C++ library with test files mixed in amongst source files in the same directories. The layout looks like /home/irving/geode geode __init__.py vector __init__.py test_vector.py ... ... Unfortunately, the library is unusable in-place since it lacks .so extension modules. Question : Can I make py.test always use an installed version, even when run from /home/irving/geode or a subdirectory? The test files have from __future__ import absolute_import , and run fine if executed directly as scripts. For example, if I do cd geode/vector ./test_vector.py which does import geode ,

I am using pytest, but I would like to have a decorator that could set a maximum memory usage per test. Similar to this question which was answered with, @pytest.mark.timeout(300) def test_foo(): pass I want, @pytest.mark.maxmem(300) def test_foo(): pass EDIT: I tried, >>> import os, psutil >>> import numpy as np >>> process = psutil.Process(os.getpid()) >>> process.memory_info().rss/1e9 0.01978368 >>> def f(): ... x = np.arange(int(1e9)) ... >>> process.memory_info().rss/1e9 0.01982464 >>> f() >>> process.memory_info().rss/1e9 0.019832832 Which doesn't catch the memory allocation in the

I want to get a list of all tests (e.g. in the form of a py.test TestReport) at the end of all tests. I know that pytest_runtest_makereport does something similar, but only for a single test. But I want to implement a hook or something in conftest.py to process the whole list of tests before the py.test application terminates. Is there a way to do this? Here an example which can help you. Structure of files: /example: __init__.py # empty file /test_pack_1 __init__.py # empty file conftest.py # pytest hooks test_my.py # a few tests for demonstration There are 2 tests in test_my.py : def test

I am struggeling getting a python import right. What I want to achieve is to have a module with several source files and a test folder with unit tests. No matter what I do, I can't get py.test-3 to execute my tests. My directory layout looks like this: . ├── module │ ├── __init__.py │ └── testclass.py └── tests └── test_testclass.py The __init__.py file looks like this: __all__ = ['testclass'] The testclass.py file looks like this: class TestClass(object): def __init__(self): self.id = 1 And my unit test like this: import pytest from module import TestClass def test_test_class(): tc =