code: def test_migrate_loop_structure_after_dataloader_loop_removal():
      """Test the loop state migration after the dataloader loops were removed in 2.0.0."""
      old_dataloader_loop_state_dict = {
          "state_dict": {},
          "dataloader_progress": {
              "total": {"ready": 0, "completed": 0},
              "current": {"ready": 0, "completed": 0},
          },
          "epoch_loop.state_dict": {},
          "epoch_loop.batch_progress": {
              "total": {
                  "ready": 123,
                  "started": 0,
                  "processed": 0,
                  "completed": 0,
              },
              "current": {
                  "ready": 0,
                  "started": 0,
                  "processed": 0,
                  "completed": 0,
              },
              "is_last_batch": False,
          },
      }
      old_checkpoint = {
          "loops": {
              "predict_loop": old_dataloader_loop_state_dict,
              "validate_loop": dict(
                  old_dataloader_loop_state_dict
              ),  # copy
              "test_loop": dict(old_dataloader_loop_state_dict),  # copy
          }
      }
      _set_version(
          old_checkpoint, "1.9.0"
      )  # pretend a checkpoint prior to 2.0.0
      updated_checkpoint, _ = migrate_checkpoint(
          old_checkpoint.copy(), target_version="2.0.0"
      )
      assert updated_checkpoint["loops"] == {
          "predict_loop": {
              "batch_progress": {
                  "current": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 0,
                      "started": 0,
                  },
                  "is_last_batch": False,
                  "total": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 123,
                      "started": 0,
                  },
              },
              "state_dict": {},
          },
          "test_loop": {
              "batch_progress": {
                  "current": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 0,
                      "started": 0,
                  },
                  "is_last_batch": False,
                  "total": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 123,
                      "started": 0,
                  },
              },
              "state_dict": {},
          },
          "validate_loop": {
              "batch_progress": {
                  "current": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 0,
                      "started": 0,
                  },
                  "is_last_batch": False,
                  "total": {
                      "completed": 0,
                      "processed": 0,
                      "ready": 123,
                      "started": 0,
                  },
              },
              "state_dict": {},
          },
      }
  
imports: from unittest.mock import ANY, MagicMock
  import lightning.pytorch
  import pytest
  import torch
  from lightning.fabric.utilities.warnings import PossibleUserWarning
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import EarlyStopping, ModelCheckpoint
  from lightning.pytorch.demos.boring_classes import BoringModel, ManualOptimBoringModel
  from lightning.pytorch.utilities.migration import migrate_checkpoint
  from lightning.pytorch.utilities.migration.utils import _get_version, _set_legacy_version, _set_version
label_desc: Use image node_id 10 for calling a global function with example usage: test_migrate_loop_structure_after_dataloader_loop_removal() without return types