code: def test_evaluate_without_json(self):
      # with tmpfile, without json
      metric = CocoPanopticMetric(
          ann_file=None,
          seg_prefix=self.gt_seg_dir,
          classwise=False,
          nproc=1,
          outfile_prefix=None,
      )
  
      metric.dataset_meta = self.dataset_meta
      metric.process({}, deepcopy(self.data_samples))
      eval_results = metric.evaluate(size=1)
      self.assertDictEqual(eval_results, self.target)
  
      # without tmpfile and json
      outfile_prefix = f"{self.tmp_dir.name}/test"
      metric = CocoPanopticMetric(
          ann_file=None,
          seg_prefix=self.gt_seg_dir,
          classwise=False,
          nproc=1,
          outfile_prefix=outfile_prefix,
      )
  
      metric.dataset_meta = self.dataset_meta
      metric.process({}, deepcopy(self.data_samples))
      eval_results = metric.evaluate(size=1)
      self.assertDictEqual(eval_results, self.target)
  
file_path: mmdetection/tests/test_evaluation/test_metrics/test_coco_panoptic_metric.py
imports: import os
  import os.path
  import tempfile
  import unittest
  from copy import deepcopy
  import mmcv
  import numpy
  import torch
  from mmengine.fileio import dump
  from mmdet.evaluation import INSTANCE_OFFSET, CocoPanopticMetric
label_desc: Use image node_id 6 for calling the TestCocoPanopticMetric obj's underlying member method code with example usage: obj.test_evaluate_without_json() without return types