def add_feature_vector(self, id_, vector):

        assert id_ not in self.feature_vectors
        assert isinstance(vector, collections.Mapping)

        names = [k for k in vector if k != "cpu_cost"]

        if self.common_features is None:
            self.common_features = sorted(names)
        else:
            assert self.common_features == sorted(names)

        self.feature_vectors[id_] = vector
Add a feature vector to these data.
dataset/ETHPy150Open borg-project/borg/borg/storage.py/RunData.add_feature_vector