code: def prepare_config_and_inputs_for_decoder(self):
      (
          config,
          input_ids,
          attention_mask,
      ) = self.prepare_config_and_inputs()
  
      encoder_hidden_states = floats_tensor(
          [self.batch_size, self.seq_length, self.hidden_size]
      )
      encoder_attention_mask = ids_tensor(
          [self.batch_size, self.seq_length], vocab_size=2
      )
  
      return (
          config,
          input_ids,
          attention_mask,
          encoder_hidden_states,
          encoder_attention_mask,
      )
  
imports: import tempfile
  import unittest
  import transformers
  from transformers import XGLMConfig, XGLMTokenizer, is_flax_available, is_torch_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, require_sentencepiece, slow
  from ...generation.test_flax_utils import FlaxGenerationTesterMixin
  from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the FlaxXGLMModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_decoder() and returns: config,  input_ids,  attention_mask,  encoder_hidden_states,  encoder_attention_mask