code: def prepare_config_and_inputs_gate_tests(self):
      # Create a list of configs and inputs, to test 2 things:
      # 1. For the same image, the output should be different when image_attention_mask is filled with 0s vs filled with 1s.
      # 2. For 2 different images, the output should be the same when image_attention_mask is filled with 0s.
  
      interpolate_pos_encoding = False
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
      pixel_values = floats_tensor(
          [
              self.batch_size,
              1,
              self.num_channels,
              self.image_size,
              self.image_size,
          ]
      )
      pixel_values_list = [
          pixel_values.clone(),
          pixel_values.clone(),
          pixel_values.clone().fill_(0.6),
          pixel_values.clone().fill_(0.3),
      ]
      attention_mask = None
      if self.use_input_mask:
          attention_mask = random_attention_mask(
              [self.batch_size, self.seq_length]
          )
  
      image_attention_mask = random_attention_mask(
          [self.batch_size, self.seq_length, 1]
      )
      image_attention_mask_list = [
          image_attention_mask.clone().fill_(0),
          image_attention_mask.clone().fill_(1),
          image_attention_mask.clone().fill_(0),
          image_attention_mask.clone().fill_(0),
      ]
  
      config = self.get_config()
      inputs_list = []
      for pixel_values, image_attention_mask in zip(
          pixel_values_list, image_attention_mask_list
      ):
          inputs_list.append(
              {
                  "input_ids": input_ids,
                  "attention_mask": attention_mask,
                  "pixel_values": pixel_values,
                  "image_attention_mask": image_attention_mask,
                  "interpolate_pos_encoding": interpolate_pos_encoding,
              }
          )
  
      inputs_w_same_img = inputs_list[:2]
      inputs_w_0_img_attn = inputs_list[2:]
      return config, inputs_w_same_img, inputs_w_0_img_attn
  
imports: import unittest
  from parameterized import parameterized
  from transformers import BitsAndBytesConfig, IdeficsConfig, is_torch_available, is_vision_available
  from transformers.testing_utils import TestCasePlus, require_bitsandbytes, require_torch, require_torch_sdpa, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the IdeficsModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_gate_tests() and returns: config,  inputs_w_same_img,  inputs_w_0_img_attn