code: def prepare_config_and_inputs(self):
      (
          text_config,
          input_ids,
          attention_mask,
      ) = self.text_model_tester.prepare_config_and_inputs()
      (
          vision_config,
          pixel_values,
      ) = self.vision_model_tester.prepare_config_and_inputs()
  
      # build `image_embeds_position_mask`
      image_embeds_position_mask = torch.zeros_like(input_ids)
      image_embeds_position_mask[:, 1 : 1 + self.latent_query_num :] = 1
  
      config = self.get_config()
  
      return (
          config,
          input_ids,
          attention_mask,
          image_embeds_position_mask,
          pixel_values,
      )
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  import numpy
  import requests
  from transformers import AutoModelForVision2Seq, AutoProcessor, Kosmos2Config
  from transformers.models.kosmos2.configuration_kosmos2 import Kosmos2TextConfig, Kosmos2VisionConfig
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the Kosmos2ModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  input_ids,  attention_mask,  image_embeds_position_mask,  pixel_values