code: def test_feature_extractor(self):
      feature_extractor = self.get_feature_extractor()
      tokenizer = self.get_tokenizer()
  
      processor = CLIPProcessor(
          tokenizer=tokenizer, feature_extractor=feature_extractor
      )
  
      image_input = self.prepare_image_inputs()
  
      input_feat_extract = feature_extractor(
          image_input, return_tensors="np"
      )
      input_processor = processor(
          images=image_input, return_tensors="np"
      )
  
      for key in input_feat_extract.keys():
          self.assertAlmostEqual(
              input_feat_extract[key].sum(),
              input_processor[key].sum(),
              delta=1e-2,
          )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  import numpy
  import pytest
  from transformers import CLIPTokenizer, CLIPTokenizerFast
  from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_vision
  from transformers.utils import FEATURE_EXTRACTOR_NAME, is_vision_available
label_desc: Use image node_id 9 for calling the CLIPProcessorTest obj's underlying member method code with example usage: obj.test_feature_extractor() without return types