code: def default_feature_extractor(self):
      return LevitFeatureExtractor.from_pretrained(
          LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST[0]
      )
  
imports: import inspect
  import unittest
  import warnings
  from math import ceil, floor
  from transformers import LevitConfig
  from transformers.file_utils import cached_property, is_torch_available, is_vision_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 1 for calling the LevitModelIntegrationTest obj's underlying member method code with example usage: obj.default_feature_extractor() and returns: LevitFeatureExtractor