code: def _build_params_dict(weight, bias, **kwargs):
      return [{"params": [weight]}, dict(params=[bias], **kwargs)]
  
file_path: pytorch-optimizer/tests/test_optimizer.py
imports: import functools
  from copy import deepcopy
  import torch
  from torch.autograd import Variable
  from torch.optim.lr_scheduler import ExponentialLR, ReduceLROnPlateau, StepLR
  import torch_optimizer
label_desc: Use image node_id 2 for calling a global function with example usage: _build_params_dict(weight, bias) and returns: list