code: def testMode(self):
      samples = [
          [[0, 0], [0, 1], [0, 1]],
          [
              [[0, 0], [0, 1], [1, 0], [0, 1], [1, 1], [7, 9]],
              [[1, 1], [1, 2], [1, 7], [2, 2], [2, 2], [2, 2]],
          ],
      ]
      expected_modes = [[0, 1], [[0, 1], [2, 2]]]
  
      for sample, expected_mode in zip(samples, expected_modes):
          input_ = tf.convert_to_tensor(value=sample, dtype=np.int32)
          input_ph = tf1.placeholder_with_default(
              input_, shape=input_.shape if self.static_shape else None
          )
          dist = empirical.Empirical(
              samples=input_ph, event_ndims=1, validate_args=True
          )
          self.assertAllClose(self.evaluate(dist.mode()), expected_mode)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import empirical
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the EmpiricalVectorTest obj's underlying member method code with example usage: obj.testMode() without return types