code: def mask_to_test_readable(mask: Image) -> Dict:
      npimg = np.array(mask)
      shape = npimg.shape
      return {"hash": hashimage(mask), "shape": shape}
  
file_path: transformers/tests/pipelines/test_pipelines_mask_generation.py
imports: import unittest
  from typing import Dict
  import numpy
  from huggingface_hub.utils import insecure_hashlib
  from transformers import MODEL_FOR_MASK_GENERATION_MAPPING, TF_MODEL_FOR_MASK_GENERATION_MAPPING, is_vision_available, pipeline
  from transformers.pipelines import MaskGenerationPipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, require_vision, slow
label_desc: Use image node_id 2 for calling a global function with example usage: mask_to_test_readable(mask) and returns: dict