code: def cfgs2name(cfgs):
      name = "%s_%s_%s(%s,%s,%s)" % (
          cfgs["dataset"],
          cfgs["backbone"],
          cfgs["loss"],
          cfgs["a"],
          cfgs["b"],
          cfgs["c"],
      )
      if "MultiCue" in cfgs["dataset"]:
          name = name + "_" + str(cfgs["multicue_seq"])
      return name
  
imports: import numpy
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: cfgs2name(cfgs) and returns: name