code: def test_composite_loss() -> None:
      # This function tests the composite loss function
      # We create a list of three loss functions and then check the composition
      # of one, two, and all loss functions
      composite_losses = [
          {
              "loss_category": "classification",
              "loss_weight": 1.0,
              "classification": {
                  "name": "cross_entropy",
                  "cross_entropy": {
                      "label_smoothing": 0.1,
                      "ignore_index": -1,
                      "class_weights": False,
                  },
              },
          },
          {
              "loss_category": "neural_augmentation",
              "loss_weight": 1.0,
              "neural_augmentation": {
                  "perceptual_metric": "psnr",
                  "target_value": [40, 20],
                  "curriculum_method": "cosine",
                  "alpha": 1.0,
              },
          },
          {
              "loss_category": "segmentation",
              "loss_weight": 1.0,
              "segmentation": {
                  "name": "cross_entropy",
                  "cross_entropy": {
                      "label_smoothing": 0.1,
                      "ignore_index": -1,
                      "class_weights": False,
                      "aux_weight": 0.0,
                  },
              },
          },
      ]
  
      for i in range(1, 4):
          # test for 1, 2, and 3 loss functions
          parser = argparse.ArgumentParser()
          opts = parser.parse_args([])
          setattr(opts, "loss.category", "composite_loss")
          setattr(opts, "scheduler.max_epochs", 100)
          setattr(
              opts,
              "loss.composite_loss",
              copy.deepcopy(composite_losses[:i]),
          )
  
          compsite_loss_fn = CompositeLoss(opts)
          assert len(compsite_loss_fn.loss_fns) == i
          assert len(compsite_loss_fn.loss_weights) == i
  
imports: import argparse
  import copy
  import sys
  from loss_fn.composite_loss import CompositeLoss
label_desc: Use image node_id 1 for calling a global function with example usage: test_composite_loss() without return types