code: def __init__(
      self,
      parent,
      batch_size=2,
      image_size=224,
      num_channels=3,
      hidden_sizes=[16, 32, 64, 128],
      depths=[1, 1, 1, 1],
      is_training=True,
      use_labels=True,
      num_labels=3,
      scope=None,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.image_size = image_size
      self.num_channels = num_channels
      self.hidden_sizes = hidden_sizes
      self.depths = depths
      self.is_training = is_training
      self.use_labels = use_labels
      self.num_labels = num_labels
      self.type_sequence_label_size = num_labels
  
imports: import inspect
  import math
  import unittest
  from transformers import VanConfig
  from transformers.testing_utils import require_scipy, require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_scipy_available, is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
label_desc: Use image node_id 1 to create a new VanModelTester object  with example: obj = VanModelTester(parent, batch_size, image_size, num_channels, hidden_sizes, depths, is_training, use_labels, num_labels, scope)