code: def _compare_fn_0_0(preds, target) -> np.ndarray:
      """Baseline result for the _INPUTS_0, _ARGS_0 combination."""
      return np.array([0.7753])
  
file_path: torchmetrics/tests/unittests/detection/test_panoptic_quality.py
imports: from typing import Any, Dict
  import numpy
  import pytest
  import torch
  from torchmetrics.detection.panoptic_qualities import PanopticQuality
  from torchmetrics.functional.detection.panoptic_qualities import panoptic_quality
  from unittests import _Input
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 1 for calling a global function with example usage: _compare_fn_0_0(preds, target) and returns: np