code: def test_squared_loss_different_num_of_elements(self):
      y_true = np.array([1, 2, 3, 4.0])
      y_pred = np.array([4, 3, 2])
      self.assertRaises(ValueError, utils.squared_loss, y_true, y_pred)
  
imports: from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_privacy.privacy.privacy_tests import utils
label_desc: Use image node_id 4 for calling the TestSquaredLoss obj's underlying member method code with example usage: obj.test_squared_loss_different_num_of_elements() without return types