code: def test_crop_keypoints():
      image = np.random.randint(0, 256, (100, 100), np.uint8)
      keypoints = [(50, 50, 0, 0)]
  
      aug = A.Crop(0, 0, 80, 80, p=1)
      result = aug(image=image, keypoints=keypoints)
      assert result["keypoints"] == keypoints
  
      aug = A.Crop(50, 50, 100, 100, p=1)
      result = aug(image=image, keypoints=keypoints)
      assert result["keypoints"] == [(0, 0, 0, 0)]
  
imports: import random
  from functools import partial
  import cv2
  import numpy
  import pytest
  import albumentations
  import albumentations.augmentations.functional
  import albumentations.augmentations.geometric.functional
  from albumentations.augmentations.blur.functional import gaussian_blur
  from .utils import get_dual_transforms, get_image_only_transforms, get_transforms
label_desc: Use image node_id 22 for calling a global function with example usage: test_crop_keypoints() without return types