fix tests

ml-agents/mlagents/trainers/tests/test_learn.py

 from mlagents.trainers.cli_utils import DetectDefault
 from mlagents_envs.exception import UnityEnvironmentException
 from mlagents.trainers.stats import StatsReporter
+from mlagents.trainers.settings import UniformSettings
 
 
 def basic_options(extra_args=None):
 
 MOCK_SAMPLER_CURRICULUM_YAML = """
     parameter_randomization:
-        sampler1: foo
+        sampler1:
+            uniform:
+                min_value: 0.2
 
     curriculum:
         behavior1:
 @patch("mlagents.trainers.learn.write_run_options")
 @patch("mlagents.trainers.learn.handle_existing_directories")
 @patch("mlagents.trainers.learn.TrainerFactory")
-@patch("mlagents.trainers.learn.SamplerManager")
 @patch("mlagents.trainers.learn.SubprocessEnvManager")
 @patch("mlagents.trainers.learn.create_environment_factory")
 @patch("mlagents.trainers.settings.load_config")
     subproc_env_mock,
-    sampler_manager_mock,
     trainer_factory_mock,
     handle_dir_mock,
     write_run_options_mock,
             options = basic_options()
             learn.run_training(0, options)
             mock_init.assert_called_once_with(
-                trainer_factory_mock.return_value,
-                "results/ppo",
-                "ppo",
-                None,
-                True,
-                0,
-                sampler_manager_mock.return_value,
-                None,
+                trainer_factory_mock.return_value, "results/ppo", "ppo", None, True, 0
             )
             handle_dir_mock.assert_called_once_with("results/ppo", False, False, None)
             write_timing_tree_mock.assert_called_once_with("results/ppo/run_logs")
 @patch("builtins.open", new_callable=mock_open, read_data=MOCK_SAMPLER_CURRICULUM_YAML)
 def test_sampler_configs(mock_file):
     opt = parse_command_line(["mytrainerpath"])
-    assert opt.parameter_randomization == {"sampler1": "foo"}
+    assert isinstance(opt.parameter_randomization["sampler1"], UniformSettings)
     assert len(opt.curriculum.keys()) == 2
 
 

ml-agents/mlagents/trainers/tests/test_simple_rl.py

 from mlagents.trainers.trainer_controller import TrainerController
 from mlagents.trainers.trainer_util import TrainerFactory
 from mlagents.trainers.simple_env_manager import SimpleEnvManager
-from mlagents.trainers.sampler_class import SamplerManager
 from mlagents.trainers.demo_loader import write_demo
 from mlagents.trainers.stats import StatsReporter, StatsWriter, StatsSummary
 from mlagents.trainers.settings import (
             meta_curriculum=meta_curriculum,
             train=True,
             training_seed=seed,
-            sampler_manager=SamplerManager(None),
-            resampling_interval=None,
         )
 
         # Begin training

ml-agents/mlagents/trainers/tests/test_trainer_controller.py

 from mlagents.tf_utils import tf
 from mlagents.trainers.trainer_controller import TrainerController
 from mlagents.trainers.ghost.controller import GhostController
-from mlagents.trainers.sampler_class import SamplerManager
 
 
 @pytest.fixture
         meta_curriculum=None,
         train=True,
         training_seed=99,
-        sampler_manager=SamplerManager({}),
-        resampling_interval=None,
     )
 
 
         meta_curriculum=None,
         train=True,
         training_seed=seed,
-        sampler_manager=SamplerManager({}),
-        resampling_interval=None,
     )
     numpy_random_seed.assert_called_with(seed)
     tensorflow_set_seed.assert_called_with(seed)