Debug tests

src/spaces/discrete_state_environment.py

@@ -45,6 +45,8 @@ class DiscreteStateEnvironment(object):
     to create bins where the average total distortion of the dataset falls in
     """
 
+    IS_TILED_ENV_CONSTRAINT = False
+
     def __init__(self, env_config: DiscreteEnvConfig) -> None:
         self.config = env_config
         self.n_rounds_below_min_distortion = 0

src/tests/test_suite.py

@@ -0,0 +1,18 @@
+import unittest
+
+from .test_trainer import TestTrainer
+from .test_serial_hierarchy import TestSerialHierarchy
+from .test_preprocessor import TestPreprocessor
+from .test_actions import TestActions
+
+def suite():
+    suite = unittest.TestSuite()
+    suite.addTest(TestTrainer)
+    suite.addTest(TestSerialHierarchy)
+    suite.addTest(TestPreprocessor)
+    suite.addTest(TestActions)
+    return suite
+
+if __name__ == '__main__':
+    runner = unittest.TextTestRunner()
+    runner.run(suite())

src/tests/test_trainer.py

@@ -0,0 +1,29 @@
+"""
+Unit-tests for class Trainer
+"""
+import unittest
+
+from src.algorithms.trainer import Trainer
+from src.algorithms.sarsa_semi_gradient import SARSAnConfig, SARSAn
+from src.spaces.tiled_environment import TiledEnv
+
+
+class TestTrainer(unittest.TestCase):
+
+    def test_with_sarsa_semi_grad_agent(self):
+
+        # create tiled environment
+        tiled_env = TiledEnv(env=None, num_tilings=10, max_size=4096,
+                             tiling_dim=5)
+
+        sarsa_config = SARSAnConfig()
+        agent = SARSAn(sarsa_config=sarsa_config)
+
+        trainer = Trainer(agent=agent, env=tiled_env,
+                          configuration={"n_episodes": 1})
+
+        trainer.train()
+
+
+if __name__ == '__main__':
+    unittest.main()