text: from conformer_rl.utils import misc_utils
  import datetime
  import os
  import torch
  import numpy as np
  
  def test_time(mocker):
      dt = mocker.patch('conformer_rl.utils.misc_utils.datetime')
      dt.now.return_value = datetime.datetime(2000, 5, 20, 14, 32, 33)
      assert misc_utils.current_time() == "20-05-2000_14:32:33"
  
  def test_thread():
      misc_utils.set_one_thread()
      assert os.environ['OMP_NUM_THREADS'] == '1'
      assert os.environ['MKL_NUM_THREADS'] == '1'
  
  def test_utils(mocker):
      path = mocker.patch('conformer_rl.utils.misc_utils.Path')
      file = mocker.Mock()
      path.return_value = file
  
      misc_utils.mkdir("filename")
      path.assert_called_with("filename")
      file.mkdir.assert_called_once()
  
      assert misc_utils.to_np(torch.tensor(5)) == np.array(5)
  
      model = mocker.Mock()
      model.state_dict.return_value = 'state_dict'
      t = mocker.patch('conformer_rl.utils.misc_utils.torch')
      misc_utils.save_model(model, "filename")
      t.save.assert_called_with('state_dict', 'filename')
  
      misc_utils.load_model(model, "filename")
      t.load.assert_called_with("filename")
      
  
  