code: def get_test_pipeline(self, model, tokenizer, processor):
      image_segmenter = MaskGenerationPipeline(
          model=model, image_processor=processor
      )
      return image_segmenter, [
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
      ]
  
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 1 for calling the MaskGenerationPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, processor) and returns: image_segmenter,  list