code: def test_random_resized_crop_size():
      image = np.ones((100, 100, 3))
      bboxes = [(0.2, 0.3, 0.6, 0.8), (0.3, 0.4, 0.7, 0.9, 99)]
      aug = RandomResizedCrop(height=50, width=50, p=1.0)
      transformed = aug(image=image, bboxes=bboxes)
      assert transformed["image"].shape == (50, 50, 3)
      assert len(bboxes) == len(transformed["bboxes"])
  
imports: import numpy
  import pytest
  from albumentations import Crop, RandomCrop, RandomResizedCrop, RandomSizedCrop, Rotate
  from albumentations.core.bbox_utils import calculate_bbox_area, convert_bbox_from_albumentations, convert_bbox_to_albumentations, convert_bboxes_to_albumentations, denormalize_bbox, denormalize_bboxes, normalize_bbox, normalize_bboxes
  from albumentations.core.composition import BboxParams, Compose, ReplayCompose
  from albumentations.core.transforms_interface import NoOp
label_desc: Use image node_id 17 for calling a global function with example usage: test_random_resized_crop_size() without return types