code: def get_readout_oper(
      vit_features, features, use_readout, start_index=1
  ):
      if use_readout == "ignore":
          readout_oper = [Slice(start_index)] * len(features)
      elif use_readout == "add":
          readout_oper = [AddReadout(start_index)] * len(features)
      elif use_readout == "project":
          readout_oper = [
              ProjectReadout(vit_features, start_index)
              for out_feat in features
          ]
      else:
          assert (
              False
          ), "wrong operation for readout token, use_readout can be 'ignore', 'add', or 'project'"
  
      return readout_oper
  
imports: import math
  import types
  import timm
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 5 for calling a global function with example usage: get_readout_oper(vit_features, features, use_readout, start_index) and returns: readout_oper