code: def feat_extract_dict(self):
      return self.feature_extract_tester.prepare_feat_extract_dict()
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/layoutlmv2/test_feature_extraction_layoutlmv2.py
imports: import unittest
  import numpy
  from transformers.testing_utils import require_pytesseract, require_torch
  from transformers.utils import is_pytesseract_available, is_torch_available
  from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin, prepare_image_inputs
label_desc: Use image node_id 2 for calling the LayoutLMv2FeatureExtractionTest obj's underlying member method code with example usage: obj.feat_extract_dict() and returns: self