code: def testGivingUp(self):
      def trial(seed):
          del seed
          return tf.constant([1, 0]), tf.constant([True, False])
  
      values, final_successes, num_iters = self.evaluate(
          brs.batched_las_vegas_algorithm(
              trial, max_trials=50, seed=test_util.test_seed()
          )
      )
      self.assertAllEqual(values, [1, 0])
      self.assertAllEqual(final_successes, [True, False])
      self.assertAllEqual(50, num_iters)
  
file_path: probability/tensorflow_probability/python/internal/batched_rejection_sampler_test.py
imports: from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.internal import batched_rejection_sampler
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the BatchedRejectionSamplerTest obj's underlying member method code with example usage: obj.testGivingUp() and returns: tf,  tf