code: def get_test_pipeline(self, model, tokenizer, processor):
      depth_estimator = DepthEstimationPipeline(
          model=model, image_processor=processor
      )
      return depth_estimator, [
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
      ]
  
file_path: transformers/tests/pipelines/test_pipelines_depth_estimation.py
imports: import unittest
  from huggingface_hub.utils import insecure_hashlib
  from transformers import MODEL_FOR_DEPTH_ESTIMATION_MAPPING, is_torch_available, is_vision_available
  from transformers.pipelines import DepthEstimationPipeline, pipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_timm, require_torch, require_vision, slow
  from .test_pipelines_common import ANY
label_desc: Use image node_id 1 for calling the DepthEstimationPipelineTests obj's underlying member method code with example usage: obj.get_test_pipeline(model, tokenizer, processor) and returns: depth_estimator,  list