code: def __init__(
      self,
      parent,
      vocab_size=99,
      batch_size=13,
      d_model=16,
      decoder_seq_length=7,
      is_training=True,
      is_decoder=True,
      use_attention_mask=True,
      use_cache=False,
      use_labels=True,
      decoder_start_token_id=2,
      decoder_ffn_dim=32,
      decoder_layers=2,
      encoder_attention_heads=4,
      decoder_attention_heads=4,
      max_position_embeddings=30,
      is_encoder_decoder=False,
      pad_token_id=0,
      bos_token_id=1,
      eos_token_id=2,
      scope=None,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.decoder_seq_length = decoder_seq_length
      # For common tests
      self.seq_length = self.decoder_seq_length
      self.is_training = is_training
      self.use_attention_mask = use_attention_mask
      self.use_labels = use_labels
  
      self.vocab_size = vocab_size
      self.d_model = d_model
      self.hidden_size = d_model
      self.num_hidden_layers = decoder_layers
      self.decoder_layers = decoder_layers
      self.decoder_ffn_dim = decoder_ffn_dim
      self.encoder_attention_heads = encoder_attention_heads
      self.decoder_attention_heads = decoder_attention_heads
      self.num_attention_heads = decoder_attention_heads
      self.eos_token_id = eos_token_id
      self.bos_token_id = bos_token_id
      self.pad_token_id = pad_token_id
      self.decoder_start_token_id = decoder_start_token_id
      self.use_cache = use_cache
      self.max_position_embeddings = max_position_embeddings
      self.is_encoder_decoder = is_encoder_decoder
  
      self.scope = None
      self.decoder_key_length = decoder_seq_length
      self.base_model_out_len = 2
      self.decoder_attention_idx = 1
  
imports: import copy
  import tempfile
  import unittest
  import timeout_decorator
  from transformers import MvpConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 to create a new MvpStandaloneDecoderModelTester object  with example: obj = MvpStandaloneDecoderModelTester(parent, vocab_size, batch_size, d_model, decoder_seq_length, is_training, is_decoder, use_attention_mask, use_cache, use_labels, decoder_start_token_id, decoder_ffn_dim, decoder_layers, encoder_attention_heads, decoder_attention_heads, max_position_embeddings, is_encoder_decoder, pad_token_id, bos_token_id, eos_token_id, scope)