code: def x_test_bundle_epistemic(self):
      if not torch.cuda.is_available():
          return
  
      response = self.client.post(
          "/scoring/spleen_ct_segmentation?run_sync=true"
      )
      assert response.status_code == 200
      time.sleep(1)
  
file_path: MONAILabel/tests/unit/endpoints/test_scoring_v2.py
imports: import time
  import unittest
  import torch
  from .context import BasicBundleV2TestSuite
label_desc: Use image node_id 1 for calling the EndPointBundleScoring obj's underlying member method code with example usage: obj.x_test_bundle_epistemic() without return types