code: def test_mask_fill_value(augmentation_cls, params):
      random.seed(42)
      aug = augmentation_cls(p=1, **params)
      input = {
          "image": np.zeros((512, 512), dtype=np.uint8) + 100,
          "mask": np.ones((512, 512)),
      }
      output = aug(**input)
      assert (output["image"] == 100).all()
      assert (output["mask"] == 1).all()
  
imports: import random
  from typing import Dict, Tuple, Type
  import cv2
  import numpy
  import pytest
  import albumentations
  from .utils import get_dual_transforms, get_image_only_transforms, get_transforms
label_desc: Use image node_id 10 for calling a global function with example usage: test_mask_fill_value(augmentation_cls, params) without return types