code: def testAssertValidSample(self):
      scores = np.array([[[0.1, 2.3, 5.0], [4.2, 0.5, 3.1]]])
      dist = plackett_luce.PlackettLuce(scores, validate_args=True)
      with self.assertRaisesOpError("Sample must be a permutation"):
          self.evaluate(dist.log_prob([1, 0, 1]))
  
imports: import numpy
  import scipy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import plackett_luce
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 10 for calling the PlackettLuceTest obj's underlying member method code with example usage: obj.testAssertValidSample() without return types