code: def test_closure_result_apply_accumulation():
      closure_loss = torch.tensor(25.0)
      result = ClosureResult.from_training_step_output(closure_loss, 5)
      assert result.loss == 5
  
file_path: pytorch-lightning/tests/tests_pytorch/loops/optimization/test_optimizer_loop.py
imports: from typing import Dict, Generic, Iterator, Mapping, TypeVar
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loops.optimization.automatic import ClosureResult
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
label_desc: Use image node_id 2 for calling a global function with example usage: test_closure_result_apply_accumulation() without return types