code: def test_Lp_Norm_empty(self):
      self._test_Lp_Norm(
          [np.array([], dtype=np.float32)], hu.cpu_do, [hu.cpu_do]
      )
      self.assertEqual(self.ws.blobs["l1_norm"].fetch()[0], 0.0)
      self.assertEqual(self.ws.blobs["l2_norm"].fetch()[0], 0.0)
      self.assertTrue(
          np.isnan(self.ws.blobs["l2_averaged_norm"].fetch()[0])
      )
  
file_path: pytorch/caffe2/python/operator_test/lpnorm_op_test.py
imports: import numpy
  from caffe2.python import core, workspace
  import caffe2.python.hypothesis_test_util
  from hypothesis import given, settings
  import hypothesis.strategies
label_desc: Use image node_id 3 for calling the LpnormTest obj's underlying member method code with example usage: obj.test_Lp_Norm_empty() without return types