code: def testAssertionsProbsAfterMutation(self):
      x = tf.Variable([0.25, 0.25, 0.5])
      d = plackett_luce.PlackettLuce(scores=x, validate_args=True)
      with self.assertRaisesOpError(
          "Condition x > 0 did not hold element-wise"
      ):
          self.evaluate([v.initializer for v in d.variables])
          with tf.control_dependencies([x.assign([-0.25, 0.75, 0.5])]):
              self.evaluate(d.scores_parameter())
  
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 1 for calling the PlackettLuceFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsProbsAfterMutation() without return types