docstr: Tests whether the algorithm is reproducible within 3 iterations
  on continuous env pendulum.
docstr_tok: ["Tests","whether","the","algorithm","is","reproducible","within","3","iterations","on","continuous","env","pendulum","."]
code: def test_reproducibility_ppo_pendulum(self):
      """Tests whether the algorithm is reproducible within 3 iterations
      on continuous env pendulum."""
  
      register_env(
          "DeterministicPendulum-v1", create_pendulum_deterministic
      )
      configs = (
          ppo.PPOConfig()
          .environment(
              env="DeterministicPendulum-v1", env_config={"seed": 42}
          )
          .rollouts(rollout_fragment_length=8)
          .training(
              train_batch_size=64, sgd_minibatch_size=32, num_sgd_iter=2
          )
      )
      check_reproducibilty(
          algo_class=ppo.PPO,
          algo_config=configs,
          fw_kwargs={"frameworks": ("tf", "torch")},
          training_iteration=3,
      )
  
file_path: ray/python/ray/rllib/algorithms/ppo/tests/test_repro_ppo.py
imports: import unittest
  import pytest
  import ray
  from ray.tune import register_env
  import ray.rllib.algorithms.ppo
  from ray.rllib.examples.env.deterministic_envs import create_cartpole_deterministic, create_pendulum_deterministic
  from ray.rllib.utils.test_utils import check_reproducibilty
label_desc: Use image node_id 4 for calling the TestReproPPO obj's underlying member method code with example usage: obj.test_reproducibility_ppo_pendulum() without return types