code: def test_segmentation_nuclei(self):
      if not torch.cuda.is_available():
          return
  
      model = "segmentation_nuclei"
      image = "JP2K-33003-1"
      body = {
          "level": 0,
          "location": [2206, 4925],
          "size": [360, 292],
          "tile_size": [2048, 2048],
          "min_poly_area": 30,
          "params": {"foreground": [], "background": []},
      }
  
      response = requests.post(
          f"{SERVER_URI}/infer/wsi/{model}?image={image}&output=asap",
          json=body,
      )
      assert response.status_code == 200
  
imports: import unittest
  import requests
  import torch
  from tests.integration import SERVER_URI
label_desc: Use image node_id 1 for calling the EndPointInfer obj's underlying member method code with example usage: obj.test_segmentation_nuclei() without return types