def postprocess_multiple_nodes(
        self,
        node_indices: list[NodeIndex],
        ds_store: DerivedScalarStore,
    ) -> list[torch.Tensor]:
        """
        A default implementation for postprocessing multiple nodes at once, which calls postprocess() for each node.
        This can be overridden for performance reasons if a more efficient implementation is possible for a given
        DerivedScalarPostprocessor.
        """
        return [self.postprocess(node_index, ds_store) for node_index in node_indices]

        A default implementation for postprocessing multiple nodes at once, which calls postprocess() for each node.
        This can be overridden for performance reasons if a more efficient implementation is possible for a given
        DerivedScalarPostprocessor.
        
neuron_explainer/activations/derived_scalars/postprocessing.py