code: def run_pipeline_test(self, video_classifier, examples):
      for example in examples:
          outputs = video_classifier(example)
  
          self.assertEqual(
              outputs,
              [
                  {"score": ANY(float), "label": ANY(str)},
                  {"score": ANY(float), "label": ANY(str)},
              ],
          )
  
file_path: transformers/tests/pipelines/test_pipelines_video_classification.py
imports: import unittest
  from huggingface_hub import hf_hub_download
  from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
  from transformers.pipelines import VideoClassificationPipeline, pipeline
  from transformers.testing_utils import is_pipeline_test, nested_simplify, require_decord, require_tf, require_torch, require_torch_or_tf, require_vision
  from .test_pipelines_common import ANY
label_desc: Use image node_id 2 for calling the VideoClassificationPipelineTests obj's underlying member method code with example usage: obj.run_pipeline_test(video_classifier, examples) without return types