如果 python 中的另一个输入参数为 TRUE，有没有办法将函数的所有输入参数设置为 TRUE？

最简单的方法是使用 to take all arguments after， loop 并使用运算符设置项目。*argsor

然后使用函数设置变量。locals()

def save_locally(self,
                 run_all_analysis: bool = False,
                 *runs_analysis):
    for i, analysis in runs_analysis:
        locals()[f"run_analysis_{i}"] = analysis or run_all_analysis

    if run_analysis_1:
        # some function that saves analysis 1 to local folder

    if run_analysis_2:
        # some function that saves analysis 2 to local folder

也就是说，当地人的文档明确表示不要使用它来修改变量：“注意：不应修改此字典的内容;更改可能不会影响解释器使用的局部变量和自由变量的值。

问题是，如果你有一些IDE，Intellisense会告诉你变量没有声明，所以我会选择一些更具可读性的东西，可能使用kwargs：

def save_locally(self,
                 run_all_analysis: bool = False,
                 **kwargs):
    if run_all_analysis:
         for x in range(20):
             kwargs[f"run_analysis_{x}"] = True


    if kwargs["run_analysis_1"]:
        # some function that saves analysis 1 to local folder

    if kwargs["run_analysis_2"]:
        # some function that saves analysis 2 to local folder

通过利用 python 类的属性来做到这一点的一种非常卡顿的方法：__dict__

class TestClass:
    NUM_ANALYSIS = 20

    def save_locally(
        self,
        run_all_analysis: bool = False,
        run_analysis_1: bool = False,
        run_analysis_2: bool = False,
    ):
        self.run_all_analysis = run_all_analysis

        if run_all_analysis:
            for index in range(1, self.NUM_ANALYSIS + 1):
                self.__dict__[f"run_analysis_{index}"] = True

        print(self.run_analysis_1) # prints: True
        print(self.run_analysis_2) # prints: True


test_class = TestClass()
test_class.save_locally(run_all_analysis=True)

如果您使用 kwargs 字典而不是逐个定义每个参数，则要简单得多：run_analysis_<n>

def save_locally(self,
                 run_all_analysis: bool = False,
                 **kwargs):
    
    if run_all_analysis:
        for key in kwargs.keys():
            kwargs[key] = True

    if kwargs["run_analysis_1"] is True:
        # some function that saves analysis 1 to local folder

    if kwargs["run_analysis_2"] is True:
        # some function that saves analysis 2 to local folder

如果我们想让事情变得更紧凑，无论您必须执行多少分析，都只有一个 if，我们将创建一个列表，其中包含与每个分析标志关联的函数：

def save_locally(self,
                 run_all_analysis: bool = False,
                 **kwargs):

    analysis_functions = [f1, f2, f3]
    
    for n, function in enumerate(analysis_functions, start=1):        
        if run_all_analysis or kwargs.get(f"run_analysis_{n}", False) is True:            
            function() # Some function that saves analysis n to local folder.

与其找到一些方法来更改所有变量，不如使用：run_analysis_xor

def save_locally(self,
                 run_all_analysis: bool = False,
                 run_analysis_1: bool = False,
                 run_analysis_2: bool = False):

    if run_analysis_1 or run_all_analysis:
        # some function that saves analysis 1 to local folder

    if run_analysis_2 or run_all_analysis:
        # some function that saves analysis 2 to local folder

更好的是，将函数及其相应的布尔值分组到列表中，然后循环：

def save_locally(self, run_all_analysis: bool = False, *run_bools):
    analysis_funcs = [do_analysis_1, do_analysis_2, ...]

    for run_bool, func in zip(run_bools, analysis_funcs):
        if run_bool or run_all_analysis:
            func()
    ...