python_files=test*.py
时间: 2024-03-31 21:38:57 浏览: 16
你的第四个问题是关于 pytest 的测试文件匹配规则的设置。python_files=test*.py 参数表示 pytest 只会在当前目录下查找以 test 开头且以 .py 结尾的测试文件,并执行其中的测试用例。这个设置可以帮助 pytest 更加准确地匹配和执行测试文件,避免执行无关的测试用例或者测试文件。
相关问题
Traceback (most recent call last): File "e:\Files\PythonFiles\test1.py", line 261, in <module> main() File "e:\Files\PythonFiles\test1.py", line 209, in main food = Creat_Food(snake) File "e:\Files\PythonFiles\test1.py", line 95, in Creat_Food food_y = random.randint(Area_y[[0], Area_y[1]]) TypeError: tuple indices must be integers or slices, not tuple
这个错误提示表明在 Creat_Food 函数的第 95 行代码中,你试图使用一个元组来进行索引,而 Python 索引只支持整数或切片类型。具体来说,这里的问题可能在于你想要随机生成食物的位置,但是在调用 `random.randint()` 函数时,传入了一个形如 `Area_y[[0], Area_y[1]]` 的元组,而这个元组的格式并不符合 randint() 函数的要求。
建议检查一下 `Area_y` 的定义,确认它是否是一个包含两个整数值的列表或元组,然后修改 `random.randint()` 函数的参数,确保它的参数是整数类型。例如,如果 `Area_y` 是一个形如 `(10, 100)` 的元组,那么你可以这样调用 `random.randint()` 函数:
```
food_y = random.randint(Area_y[0], Area_y[1])
```
这样就可以随机生成一个介于 10 和 100 之间的整数作为食物的 y 坐标。
# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/
这段代码是一个常见的 Python 项目的 .gitignore 文件,用于指定哪些文件不应该被 Git 跟踪和提交到版本控制系统中。其中包含了许多常见的 Python 项目中不需要跟踪的文件和目录,例如编译文件、依赖包、日志文件、测试报告、临时文件等。这样可以避免这些文件影响项目的可维护性和可移植性。