code: def _build_params_dict_single(weight, bias, **kwargs):
      return [dict(params=bias, **kwargs)]
  
imports: import math
  import pytest
  import functools
  from copy import deepcopy
  import torch
  from torch.testing._internal.common_utils import TestCase
  from torch.nn import Parameter
  from timm.scheduler import PlateauLRScheduler
  from timm.optim import create_optimizer_v2
  import importlib
  import os
label_desc: Use image node_id 9 for calling a global function with example usage: _build_params_dict_single(weight, bias) and returns: list