Method from_class_name

datasets/bucket_config.py:216–221

(cls, class_name, class_kwargs: dict)

    @classmethod
    def from_class_name(cls, class_name, class_kwargs: dict):
        bucket_class = globals().get(class_name)
        if not (isinstance(bucket_class, BucketConfig)
                or issubclass(bucket_class, BucketConfig)):
            raise ValueError(f'wrong class name {class_name}')
        return bucket_class(**class_kwargs)

    def __init__(self, ) -> None:
        ar_value_arr = np.array(list(self.bucket_config.keys()))