def wrapper(*args, **kwargs): print(f"Calling function {func.__name__} with arguments: {args}, {kwargs}") result = func(*args, **kwargs) print(f"Function {func.__name__} returned: {result}") return result return wrapper @debug_decorator def add(a, b): """ Adds two numbers...
def decorator(func): def wrapper(*args, **kwargs): # 在调用原函数前的操作 result = func(*args, **kwargs) # 在调用原函数后的操作 return result return wrapper @decorator def my_function(): # 原函数的代码 pass 2.2 装饰器的应用 示例:编写一个简单的日志记录装饰器。 代码语言:javascript 代...
Most of your interaction with the Python subprocess module will be via the run() function. This blocking function will start a process and wait until the new process exits before moving on. The documentation recommends using run() for all cases that it can handle. For edge cases where you ...
Returns a decorator that invokes update_wrapper() with the decorated function as the wrapper argument and the arguments to wraps() as the remaining arguments. Default arguments are as for update_wrapper(). This is a convenience function to simplify applying partial() to update_wrapper(). """ ...
The wrapper function uses *args and **kwargs to pass on arguments to the decorated function. If you want your decorator to also take arguments, then you need to nest the wrapper function inside another function. In this case, you usually end up with three return statements. You can ...
updated is a tuple naming the attributes of the wrapper that are updated with the corresponding attribute from the wrapped function (defaults to functools.WRAPPER_UPDATES)"""forattrinassigned:try: value=getattr(wrapped, attr)exceptAttributeError:passelse: ...
function_name 是函数的名称。按照 PEP 的要求,函数名称的命名方式与变量的命名方式和格式一样。 函数名称之后紧跟着 ([parameters]) ,函数名称和圆括号之间不能有空格,圆括号也不能省略。圆括号里面是这个函数的参数列表,如果此函数不需要参数,则可为空。。
Acquiring Function Properties(获取功能属性) Partials对象默认情况下不具有__name__或__doc__属性,如果没有这些属性,装饰函数将更难以调试。 使用update_wrapper(),将原始函数的属性复制或添加到部分对象。 functools_update_wrapper.py import functools
Thenuitka-runcommand is the same asnuitka, but with a different default. It tries to compileanddirectly execute a Python script: nuitka-run --help This option that is different is--run, and passing on arguments after the first non-option to the created binary, so it is somewhat more simil...
function.arguments) function_response = function_to_call(**function_args) messages.append( { "tool_call_id": tool_call.id, "role": "tool", "name": function_name, "content": function_response, } ) # extend conversation with function response second_response = client.chat.completions.create...