How should we annotate functions that forward to their superclass?

Consider this real code:

from typing import SuperKwargs

class InferenceManager(Generic[T]):
    @override
    def __init__(self,
                 *,
                 default_trajectory: T,
                 progress_manager: None | ProgressManager,
                 wandb_run: None | Run
                 ) -> None:
        super().__init__()
        self._progress_manager = progress_manager
        self._results: list[T] = []
        self._trajectory = default_trajectory
        self._wandb_run = wandb_run


class TrainingInferenceManager(InferenceManager[RLTrainingResult]):
    def __init__(self, training_result: TrainingResult, **kwargs: SuperKwargs):
         self.training_result = training_result
         super().__init__(**kwargs)

If we want full annotations for TrainingInferenceManager.__init__, we currently need to duplicate all of the superclass's parameters. I suggest adding typing.SuperKwargs that stands in place of them.

(This could be made more complicated by allowing the child class to synthesize some of the parameters.)

Related: https://github.com/python/mypy/issues/8769

Aucun fichier d’implémentation, test ou point d’entrée n’est indiqué. Commencez par lire le comportement proposé de SuperKwargs et l’issue mypy associée #8769 ; l’issue doit disposer d’une conception validée pour les paramètres transmis et synthétisés avant que la portée de l’implémentation puisse être définie.