code: def test_draw_rotated_dataset_dict(self):
      img = np.random.rand(512, 512, 3) * 255
      dic = {
          "annotations": [
              {
                  "bbox": [
                      368.9946492271106,
                      330.891438763377,
                      13.148537455410235,
                      13.644708680142685,
                      45.0,
                  ],
                  "bbox_mode": BoxMode.XYWHA_ABS,
                  "category_id": 0,
                  "iscrowd": 1,
              }
          ],
          "height": 512,
          "image_id": 1,
          "width": 512,
      }
      v = Visualizer(img, self.metadata)
      v.draw_dataset_dict(dic)
  
imports: import numpy
  import os
  import tempfile
  import unittest
  import cv2
  import torch
  from detectron2.data import MetadataCatalog
  from detectron2.structures import BoxMode, Instances, RotatedBoxes
  from detectron2.utils.visualizer import ColorMode, Visualizer
label_desc: Use image node_id 4 for calling the TestVisualizer obj's underlying member method code with example usage: obj.test_draw_rotated_dataset_dict() without return types