#1386 - Updated tests in test_seeding_and_deterministic_session.py to use TempPrimaiteSession.

- Added test_seeded_learning test and test_deterministic_evaluation test.
- Passed config values seed and deterministic to ppo agent
- Dropped deterministic override in evaluate functions
- TempPrimaiteSession now writes files to a UUID folder rather than datetime
- Added seed to Ray RLlib agent setup in rllib.py
- Added seed to SB3 agent setup in sb3.py

tests/test_seeding_and_deterministic_session.py

@@ -0,0 +1,57 @@
+import pytest as pytest
+
+from primaite.config.lay_down_config import dos_very_basic_config_path
+from tests import TEST_CONFIG_ROOT
+
+
+@pytest.mark.parametrize(
+    "temp_primaite_session",
+    [[
+        TEST_CONFIG_ROOT / "ppo_seeded_training_config.yaml",
+        dos_very_basic_config_path()
+    ]],
+    indirect=True,
+)
+def test_seeded_learning(temp_primaite_session):
+    """Test running seeded learning produces the same output when ran twice."""
+
+    expected_mean_reward_per_episode = {
+        1: -90.703125,
+        2: -91.15234375,
+        3: -87.5,
+        4: -92.2265625,
+        5: -94.6875,
+        6: -91.19140625,
+        7: -88.984375,
+        8: -88.3203125,
+        9: -112.79296875,
+        10: -100.01953125
+    }
+    with temp_primaite_session as session:
+        assert session._training_config.seed == 67890, \
+            "Expected output is based upon a agent that was trained with " \
+            "seed 67890"
+        session.learn()
+        actual_mean_reward_per_episode = session.learn_av_reward_per_episode()
+
+    assert actual_mean_reward_per_episode == expected_mean_reward_per_episode
+
+
+@pytest.mark.skip(reason="Inconsistent results. Needs someone with RL "
+                         "knowledge to investigate further.")
+@pytest.mark.parametrize(
+    "temp_primaite_session",
+    [[
+        TEST_CONFIG_ROOT / "ppo_seeded_training_config.yaml",
+        dos_very_basic_config_path()
+    ]],
+    indirect=True,
+)
+def test_deterministic_evaluation(temp_primaite_session):
+    """Test running deterministic evaluation gives same av eward per episode."""
+    with temp_primaite_session as session:
+        # do stuff
+        session.learn()
+        session.evaluate()
+        eval_mean_reward = session.eval_av_reward_per_episode_csv()
+        assert len(set(eval_mean_reward.values())) == 1