docstr: Tests whether we can build a learner_groupobject from algorithm_config.
docstr_tok: ["Tests","whether","we","can","build","a","learner_groupobject","from","algorithm_config","."]
code: def test_learner_group_build_from_algorithm_config(self):
      """Tests whether we can build a learner_groupobject from algorithm_config."""
  
      env = gym.make("CartPole-v1")
  
      # Config that has its own learner class and RLModule spec.
      config = BaseTestingAlgorithmConfig()
      learner_group = config.build_learner_group(env=env)
      print(learner_group)
      learner_group.shutdown()
  
      # Config for which user defines custom learner class and RLModule spec.
      config = (
          BaseTestingAlgorithmConfig()
          .training(learner_class=BCTfLearner)
          .rl_module(
              rl_module_spec=SingleAgentRLModuleSpec(
                  module_class=DiscreteBCTFModule,
                  model_config_dict={"fcnet_hiddens": [32]},
              )
          )
      )
      learner_group = config.build_learner_group(env=env)
      print(learner_group)
      learner_group.shutdown()
  
imports: import gymnasium
  import itertools
  import numpy
  from typing import Any, Dict, List
  import tempfile
  import unittest
  import ray
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.ppo.tests.test_ppo_learner import FAKE_BATCH
  from ray.rllib.core.learner.learner import Learner
  from ray.rllib.core.rl_module.marl_module import MultiAgentRLModule
  from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
  from ray.rllib.core.testing.tf.bc_learner import BCTfLearner
  from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule
  from ray.rllib.core.testing.utils import add_module_to_learner_or_learner_group
  from ray.rllib.core.testing.testing_learner import BaseTestingAlgorithmConfig
  from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
  from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID, SampleBatch, MultiAgentBatch
  from ray.rllib.utils.test_utils import check, get_cartpole_dataset_reader
  from ray.rllib.utils.metrics import ALL_MODULES
  from ray.util.timer import _Timer
label_desc: Use image node_id 3 for calling the TestLearnerGroupSyncUpdate obj's underlying member method code with example usage: obj.test_learner_group_build_from_algorithm_config() without return types