code: def prepare_feat_extract_dict(self):
      return {
          # here we create 2 clusters for the sake of simplicity
          "clusters": np.asarray(
              [
                  [
                      0.8866443634033203,
                      0.6618829369544983,
                      0.3891746401786804,
                  ],
                  [
                      -0.6042559146881104,
                      -0.02295008860528469,
                      0.5423797369003296,
                  ],
              ]
          ),
          "do_resize": self.do_resize,
          "size": self.size,
          "do_normalize": self.do_normalize,
      }
  
imports: import json
  import os
  import tempfile
  import unittest
  import numpy
  from datasets import load_dataset
  from transformers.testing_utils import require_torch, require_vision, slow
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin
label_desc: Use image node_id 2 for calling the ImageGPTFeatureExtractionTester obj's underlying member method code with example usage: obj.prepare_feat_extract_dict() and returns: dict