code: def testing_cfg(download_path):
      config_params = {
          "net_params": {
              "use_dirac": True,
              "use_dropout": True,
              "dropout_rate": 0.0,
              "nc": 10,
              "depths": 34,
              "has_bn": True,
              "use_srelu": True,
              "transfun": "basic_transform",
              "has_st": True,
          }
      }
      yield config_params
  
imports: import pytest
  import torch
  import kale.predict.isonet
label_desc: Use image node_id 1 for calling a global function with example usage: testing_cfg(download_path) without return types