Continuous caching of Python class generation results

I am doing a dynamic generation of classes that can be statically defined at compilation time. A simple case that I have now looks something like this:

class Base(object):
    def __init__(self, **kwargs):
        self.do_something()

def ClassFactory(*args):
    some_pre_processing()
    class GenericChild(Base):
        def __init__(self, **kwargs):
            self.some_processing()
            super(GenericChild, self).__init__(*args, **kwargs)
    return GenericChild

Child1 = ClassFactory(1, 'Child_setting_value1')
Child2 = ClassFactory(2, 'Child_setting_value2')
Child3 = ClassFactory(3, 'Child_setting_value3')

Upon import, the Python interpreter seems to be compiled into bytecode, then executes the file (thus generating Child1, Child2and Child3) once per Python instance.

Is there a way to tell Python to compile the file, execute it once to unzip the classes Child, and then compile it to a file pycso that unpacking is done only once (even through sequential execution of the Python script)?

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