Sorry for the long response.
After investigation, I have found that there is a third-party library called
`decorator` which do smth similar to what I propose (I didn't know about that
library when I created this thread).
As I said, the idea of `decorator_factory` is to create a unified way of
Is it really worth it?
Fact is, while it can shave off some lines of code,
I think it is interesting to know _which_ lines of code -
Usually when one writes a decorator, it is expected that they
will know what they are writing, and will want to be in control of
their code. Delegating this to a
The idea of `decorator_factory` is to eliminate boilerplate code that used to
create a decorator with parameters.
A perfect example is how `dataclass` decorator can be simplified from this:
```
def dataclass(cls=None, /, *, init=True, repr=True, eq=True, order=False,
After discussion at the python issue tracker, the better name
`decorator_factory` was proposed.
I have just gone through the standard library code to find places where
`decorator_factory` can be used.
1. `dataclasses.dataclass`
```
def dataclass(cls=None, /, *, init=True, repr=True, eq=True,
You can use classes as decorators, it's quite more simple:
https://towardsdatascience.com/using-class-decorators-in-python-2807ef52d273?gi=ea5091974462
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