class_docstr: A special data structure used in hypervolume computation.
  
  It consists of several doubly linked lists that share common nodes.
  Every node has multiple predecessors and successors, one in every list.
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docstr: Extends the list at the given index with the nodes.
  
  Args:
      nodes: list of nodes to append at the given index.
      index: the index where the nodes should be appended.
docstr_tok: ["Extends","the","list","at","the","given","index","with","the","nodes",".","Args",":","nodes",":","list","of","nodes","to","append","at","the","given","index",".","index",":","the","index","where","the","nodes","should","be","appended","."]
code: def extend(self, nodes: List[Node], index: int) -> None:
      r"""Extends the list at the given index with the nodes.
  
      Args:
          nodes: list of nodes to append at the given index.
          index: the index where the nodes should be appended.
  
      """
      for node in nodes:
          self.append(node=node, index=index)
  
imports: from __future__ import annotations
  import warnings
  from copy import deepcopy
  from itertools import combinations
  from typing import Callable, List, Optional, Union
  import torch
  from botorch.acquisition.cached_cholesky import CachedCholeskyMCSamplerMixin
  from botorch.acquisition.multi_objective.objective import MCMultiOutputObjective
  from botorch.acquisition.multi_objective.utils import prune_inferior_points_multi_objective
  from botorch.exceptions.errors import BotorchError, BotorchTensorDimensionError, UnsupportedError
  from botorch.exceptions.warnings import BotorchWarning
  from botorch.models.model import Model
  from botorch.sampling.base import MCSampler
  from botorch.utils.multi_objective.box_decompositions.box_decomposition_list import BoxDecompositionList
  from botorch.utils.multi_objective.box_decompositions.dominated import DominatedPartitioning
  from botorch.utils.multi_objective.box_decompositions.non_dominated import FastNondominatedPartitioning, NondominatedPartitioning
  from botorch.utils.multi_objective.box_decompositions.utils import _pad_batch_pareto_frontier
  from botorch.utils.objective import compute_feasibility_indicator
  from botorch.utils.torch import BufferDict
  from torch import Tensor
label_desc: Use image node_id 3 for calling the MultiList obj's underlying member method code with example usage: obj.extend(nodes, index) without return types