可以使用 docstring 配合类型注解 见第4条 8,如何给变量加注释? a: str ="this is string type" 9, Python 代码缩进中是否支持 Tab 键和空格混用? 不允许tab 键和空格键混用,这种现象在使用 sublime 的时候尤为明显。 一般推荐使用 4 个空格替代 tab 键。 10, 是否可以在一句 import 中导入多个库?
findall->find_all Bot specific copies of the Colang Core Library ccl_*.co files are deprecated and should be removed from the bot folders. It is replaced by the Colang Standard Libraries that are included in NeMo Guardrails and can be imported (e.g.importcoreorimportllm). See next the...
you should at least include a docstring explaining what the package does. this will help users poking around in ipython, etc. level 1 10 points · 6 years ago nothing. explicit is better than implicit. level 1 8 points · 6 years ago i recommend option 1 for most cas...
There’s yet another Easter egg hiding right before your eyes. One of the principles in the Zen of Python is a playful reference toGuido van Rossum, the creator of Python, who’s originally from the Netherlands: Although that way may not be obvious at first unless you’re Dutch. ...
thomass-dev force-pushed the what-you-put-is-what-you-get branch from a02785f to 862dc49 Compare January 10, 2025 09:22 thomass-dev added 2 commits January 10, 2025 11:30 Add tests 8643aa9 Add docstring 80df8db thomass-dev force-pushed the what-you-put-is-what-you-get branch ...
a positive integer.")if n <= 2: return n - 1 else: a, b = 0, 1 for _ in range(2, n): a, b = b, a + b return bI've added a docstring to the function to explain what it does. I've also added some input validation to check that the input is a positive integer and...
Python 2.7 is planned to be the last of the 2.x releases, so we worked on making it a good release for the long term. To help with porting to Python 3, several new features from the Python 3.x series have been included in 2.7....
>>> f.__annotations__['return']['docstring'] 'Given mass and velocity returns kinetic energy in Joules' 1. 2. 3. 4. 5. 6. 7. 8. 9. ->is introduced in python3. In simpler words, the content after the->denotes the return type of the function. The return type is optional....
Here is an example of how to use functools.wraps to decorate a function: import functools def my_decorator(f): @functools.wraps(f) def wrapper(*args, **kwds): print("Calling decorated function") return f(*args, **kwds) return wrapper @my_decorator def example(): """Docstring""" ...
> Additionally a "shape" attribute is used which is peculiar to whatever > numpy uses as its data representation. I think this cannot be helped --- it does not make sense to explain basic Numpy concepts in every docstring, especially `axis` and `shape` ...