code: def prepare_config_and_inputs(self):
      dummy_points = floats_tensor([self.batch_size, 3, 2])
      config = self.get_config()
  
      return config, dummy_points
  
imports: import gc
  import unittest
  import requests
  from transformers import SamConfig, SamMaskDecoderConfig, SamPromptEncoderConfig, SamVisionConfig, pipeline
  from transformers.testing_utils import backend_empty_cache, require_torch, 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, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the SamPromptEncoderTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: config,  dummy_points