code: def test_evaluate(self, input_params):
      # initialize algo
      algo = MonaiAlgo(**input_params)
      algo.initialize(extra={ExtraItems.CLIENT_NAME: "test_fl"})
  
      # initialize model
      parser = ConfigParser(
          config=deepcopy(algo.eval_workflow.parser.get())
      )
      parser.parse()
      network = parser.get_parsed_content("network")
  
      data = ExchangeObject(weights=network.state_dict())
  
      # test evaluate
      algo.evaluate(data=data, extra={})
  
      # test experiment management
      if "execute_config" in algo.eval_workflow.parser:
          self.assertGreater(
              len(list(glob.glob(f"{_data_dir}/mlflow_*"))), 0
          )
          for f in list(glob.glob(f"{_data_dir}/mlflow_*")):
              shutil.rmtree(f)
          self.assertGreater(
              len(list(glob.glob(f"{_data_dir}/eval/config_*"))), 0
          )
          for f in list(glob.glob(f"{_data_dir}/eval/config_*")):
              os.remove(f)
  
file_path: MONAI/tests/test_fl_monai_algo.py
imports: from __future__ import annotations
  import glob
  import os
  import shutil
  import unittest
  from copy import deepcopy
  from os.path import join
  from parameterized import parameterized
  from monai.bundle import ConfigParser, ConfigWorkflow
  from monai.bundle.utils import DEFAULT_HANDLERS_ID
  from monai.fl.client.monai_algo import MonaiAlgo
  from monai.fl.utils.constants import ExtraItems
  from monai.fl.utils.exchange_object import ExchangeObject
  from monai.utils import path_to_uri
  from tests.utils import SkipIfNoModule
label_desc: Use image node_id 2 for calling the TestFLMonaiAlgo obj's underlying member method code with example usage: obj.test_evaluate(input_params) without return types