# main.pyimportmoduleA# 导入moduleA模块defcall_function_by_name(func_name,arg):"""根据函数名调用moduleA中的相应函数"""# 使用getattr获取函数对象func=getattr(moduleA,func_name)# 调用函数func(arg)# 示例调用call_function_by_name('greet','Al
defsome_function():print("This is some_function.")defanother_function():print("This is another_function.")defcall_function_by_name(function_name):# 判断函数是否存在iffunction_nameinglobals()andcallable(globals()[function_name]):# 调用函数function=globals()[function_name]result=function()else:...
}passdefactive_call_function(self):print("here is active_call_function.") be_called_function_name = self.config_dict["be_called_function_name"]# 就直接调用。如果有其他参数,一样地传就好了# 另外也可以是"be_called_function_name"是"be_called_function",然后eval(be_called_function_name)()eval...
pythonCopy codeformatter=logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')stream_handler.setFormatter(formatter)file_handler.setFormatter(formatter) 配置Logging 1. 基本配置 最简单的配置方法是使用basicConfig函数,它接受一些关键字参数,例如filename、level、format等。这样的配置适用于简单的...
Example: Call a Python function using call by value # call by valuedefchange(data):data=45print("Inside Function :",data)defmain():data=20print("Before Calling :",data)change(data)print("After Calling :",data)if__name__=="__main__":main() ...
https://docs.python.org/3.8/faq/programming.html#how-do-i-write-a-function-with-output-parameters-call-by-reference #0-#By returning a tuple of the resultsdeffunc2(a, b):#a, b = 'new-value', b + 1a ='new-value'b= b + 1returna, b ...
defhi(name="yasoob"):print("now you are inside the hi() function")defgreet():return"now you are in the greet() function"defwelcome():return"now you are in the welcome() function"print(greet())print(welcome())print("now you are back in the hi() function")hi()#output:now you ...
第五天:抽象 1、 函数检测函数是否可调用:callable >>> import math >>> y=math.sqrt >>> callable(y) True >>> x=1 >>> callable(x) False 注意:Python3.0不在支持callable,需要使用表达式hasattr(func,_call_call_)代替 创建函数:def functionname(params): >>>def fibs(num): ... 'Get fibon...
import cProfiledeftest():for i in range(1000): print(i)cProfile.run("test()")输出：77004 function calls in5.191 seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function)10.0010.0015.1915.1917.py:2(test)10.0000.0005.1915.191 <...
# 任务状态 (defaultdict(lambda: 'pending')): defaultdict(<function <lambda> at 0x...>, {'task1': 'pending', 'task2': 'completed'}) print(f"访问 task3: { <!-- -->default_status_dd['task3']}")# 自动创建 task3: 'pending' ...