Merging a google docstring with a numpy docstring

[bcm-at-zama]

Hey. Great tool, thanks a lot!

I was wondering if we can merge docstring of different kinds.

"""This is a test."""
import sklearn
import numpy
from typing import Optional
from custom_inherit import doc_inherit


class MyDecisionTreeClassifier(sklearn.tree.DecisionTreeClassifier):
    @doc_inherit(sklearn.tree.DecisionTreeClassifier.predict_proba, style="google_with_merge")
    def predict_proba(
        self,
        X: numpy.ndarray,
        check_input: Optional[bool] = True,
        my_option: Optional[bool] = False,
    ) -> numpy.ndarray:
        """Predict class probabilities of the input samples X.

        Args:
            my_option: If True, this is happening. If False, this other thing is happening and I
                need two lines to explain this option.

        Returns:
            numpy.ndarray: the result

        """
        print(my_option)
        super.predict_proba(X, check_input=check_input)

Here, I'd like to merge scikit docstring (which is numpy) with mine (which is google). It more or less works already:

but you can see that there is a bad thing happening because my_option explanation is too long. More precisely, it cuts the line in two, and writes "option. (need two lines to explain this) –" as a fake new option.

I wonder if it can be fixed easily. If not, it is already a great tool thanks