code: def forward(self, x: torch.Tensor):
      return {
          HoVerNetBranch.NP: torch.tensor([1, 2]),
          HoVerNetBranch.NC: torch.tensor([4, 4]),
          HoVerNetBranch.HV: 16,
      }
  
file_path: MONAI/tests/test_prepare_batch_hovernet.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.apps.pathology.engines import PrepareBatchHoVerNet
  from monai.engines import SupervisedEvaluator
  from monai.utils.enums import HoVerNetBranch
  from tests.utils import assert_allclose
label_desc: Use image node_id 1 for calling the TestNet obj's underlying member method code with example usage: obj.forward(x) and returns: dict