code: def testMode(self):
      dist = self.make_two_piece_normals()
  
      mode = self.evaluate(dist.mode())
      expected_mode = np.array([3.0, 3.0, 3.0], dtype=self.dtype)
  
      self.assertAllEqual(mode.shape, expected_mode.shape)
      self.assertAllClose(mode, expected_mode)
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import two_piece_normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 16 for calling the _TwoPieceNormalTest obj's underlying member method code with example usage: obj.testMode() without return types