code: def test(args: Namespace):
      """Test an anomaly model.
  
      Args:
          args (Namespace): The arguments from the command line.
      """
      config = get_configurable_parameters(
          model_name=args.model,
          config_path=args.config,
          weight_file=args.weight_file,
      )
  
      if config.project.seed:
          seed_everything(config.project.seed)
  
      datamodule = get_datamodule(config)
      model = get_model(config)
  
      callbacks = get_callbacks(config)
  
      trainer = Trainer(callbacks=callbacks, **config.trainer)
      trainer.test(model=model, datamodule=datamodule)
  
file_path: anomalib/tools/test.py
imports: from argparse import ArgumentParser, Namespace
  from pytorch_lightning import Trainer, seed_everything
  from anomalib.config import get_configurable_parameters
  from anomalib.data import get_datamodule
  from anomalib.models import get_model
  from anomalib.utils.callbacks import get_callbacks
label_desc: Use image node_id 2 for calling a global function with example usage: test(args) without return types