code: def _compare_fn_1_2(preds, target) -> np.ndarray:
      """Baseline result for the _INPUTS_1, _ARGS_2 combination."""
      return np.array([23 / 30])
  
file_path: torchmetrics/tests/unittests/detection/test_modified_panoptic_quality.py
imports: from typing import Any, Dict
  import numpy
  import pytest
  import torch
  from torchmetrics.detection import ModifiedPanopticQuality
  from torchmetrics.functional.detection import modified_panoptic_quality
  from unittests import _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 3 for calling a global function with example usage: _compare_fn_1_2(preds, target) and returns: np