code: def __init__(
      self,
      parent,
      batch_size=13,
      image_size=32,
      patch_size=2,
      num_channels=3,
      embed_dim=16,
      depths=[1, 2, 1],
      num_heads=[2, 2, 4],
      window_size=2,
      mlp_ratio=2.0,
      qkv_bias=True,
      hidden_dropout_prob=0.0,
      attention_probs_dropout_prob=0.0,
      drop_path_rate=0.1,
      hidden_act="gelu",
      use_absolute_embeddings=False,
      patch_norm=True,
      initializer_range=0.02,
      layer_norm_eps=1e-5,
      is_training=True,
      scope=None,
      use_labels=True,
      type_sequence_label_size=10,
      encoder_stride=8,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.image_size = image_size
      self.patch_size = patch_size
      self.num_channels = num_channels
      self.embed_dim = embed_dim
      self.depths = depths
      self.num_heads = num_heads
      self.window_size = window_size
      self.mlp_ratio = mlp_ratio
      self.qkv_bias = qkv_bias
      self.hidden_dropout_prob = hidden_dropout_prob
      self.attention_probs_dropout_prob = attention_probs_dropout_prob
      self.drop_path_rate = drop_path_rate
      self.hidden_act = hidden_act
      self.use_absolute_embeddings = use_absolute_embeddings
      self.patch_norm = patch_norm
      self.layer_norm_eps = layer_norm_eps
      self.initializer_range = initializer_range
      self.is_training = is_training
      self.scope = scope
      self.use_labels = use_labels
      self.type_sequence_label_size = type_sequence_label_size
      self.encoder_stride = encoder_stride
  
imports: import collections
  import unittest
  from transformers import DonutSwinConfig
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import is_torch_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 to create a new DonutSwinModelTester object  with example: obj = DonutSwinModelTester(parent, batch_size, image_size, patch_size, num_channels, embed_dim, depths, num_heads, window_size, mlp_ratio, qkv_bias, hidden_dropout_prob, attention_probs_dropout_prob, drop_path_rate, hidden_act, use_absolute_embeddings, patch_norm, initializer_range, layer_norm_eps, is_training, scope, use_labels, type_sequence_label_size, encoder_stride)