code: def prepare_config_and_inputs_for_common(self):
      config, inputs_dict = self.prepare_config_and_inputs()
      global_attention_mask = torch.zeros_like(inputs_dict["input_ids"])
      global_attention_mask[:, -1] = 1
      inputs_dict["global_attention_mask"] = global_attention_mask
  
      return config, inputs_dict
  
imports: import copy
  import tempfile
  import unittest
  from transformers import LEDConfig, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 5 for calling the LEDModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict