code: def testSamples(self):
      for samples_shape in ([2, 4], [4, 2, 4], [2, 2, 2, 4]):
          input_ = random_samples(samples_shape)
          input_ph = tf1.placeholder_with_default(
              input_, shape=samples_shape if self.static_shape else None
          )
          dist = empirical.Empirical(
              samples=input_ph, event_ndims=1, validate_args=True
          )
          self.assertAllClose(input_ph, self.evaluate(dist.samples))
  
      invalid_samples = [
          0,
          [0, 1],
      ]
      for samples in invalid_samples:
          with self.assertRaises(ValueError):
              dist = empirical.Empirical(
                  samples=samples, event_ndims=1, validate_args=True
              )
  
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 1 for calling the EmpiricalVectorTest obj's underlying member method code with example usage: obj.testSamples() without return types