code: def prepare_config_and_inputs(self):
      input_ids = ids_tensor(
          [self.batch_size, self.decoder_seq_length], self.vocab_size
      )
  
      attention_mask = None
      if self.use_attention_mask:
          attention_mask = ids_tensor(
              [self.batch_size, self.decoder_seq_length], vocab_size=2
          )
  
      lm_labels = None
      if self.use_labels:
          lm_labels = ids_tensor(
              [self.batch_size, self.decoder_seq_length],
              self.vocab_size,
          )
  
      config = PLBartConfig(
          vocab_size=self.vocab_size,
          d_model=self.d_model,
          decoder_layers=self.decoder_layers,
          decoder_ffn_dim=self.decoder_ffn_dim,
          encoder_attention_heads=self.encoder_attention_heads,
          decoder_attention_heads=self.decoder_attention_heads,
          eos_token_id=self.eos_token_id,
          bos_token_id=self.bos_token_id,
          use_cache=self.use_cache,
          pad_token_id=self.pad_token_id,
          decoder_start_token_id=self.decoder_start_token_id,
          max_position_embeddings=self.max_position_embeddings,
          is_encoder_decoder=self.is_encoder_decoder,
      )
  
      return (config, input_ids, attention_mask, lm_labels)
  
imports: import copy
  import tempfile
  import unittest
  from transformers import PLBartConfig, 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, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the PLBartStandaloneDecoderModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  attention_mask,  lm_labels