Revert test carl env

automl · Aug 8, 2023 · b579db8 · b579db8
1 parent 252494d
commit b579db8
Showing 1 changed file with 0 additions and 84 deletions.
diff --git a/test/test_CARLEnv.py b/test/test_CARLEnv.py
@@ -26,90 +26,6 @@ def test_observation_reducedcontext(self):
         env = CARLPendulum(obs_context_features=context_keys)
         state, info = env.reset()
         self.assertEqual(len(state["context"]), n)
-
-
-    def test_get_context_key(self):
-        contexts = self.generate_contexts()
-        env = CARLPendulumEnv(contexts=contexts)
-        self.assertEqual(env.context_key, None)
-
-
-class TestContextSampler(unittest.TestCase):
-    def test_get_defaults(self):
-        from carl.context.sampling import get_default_context_and_bounds
-
-        defaults, bounds = get_default_context_and_bounds(env_name="CARLPendulumEnv")
-        DEFAULT_CONTEXT = {
-            "max_speed": 8.0,
-            "dt": 0.05,
-            "g": 10.0,
-            "m": 1.0,
-            "l": 1.0,
-            "initial_angle_max": np.pi,
-            "initial_velocity_max": 1,
-        }
-        self.assertDictEqual(defaults, DEFAULT_CONTEXT)
-
-    def test_sample_contexts(self):
-        from carl.context.sampling import sample_contexts
-
-        contexts = sample_contexts(
-            env_name="CARLPendulumEnv",
-            context_feature_args=["l"],
-            num_contexts=1,
-            default_sample_std_percentage=0.0,
-        )
-        self.assertEqual(contexts[0]["l"], 1)
-
-
-class TestContextAugmentation(unittest.TestCase):
-    def test_gaussian_noise(self):
-        from carl.context.augmentation import add_gaussian_noise
-
-        c = add_gaussian_noise(default_value=1, percentage_std=0)
-        self.assertEqual(c, 1)
-
-    def test_get_context_key(self):
-        contexts = self.generate_contexts()
-        env = CARLPendulumEnv(contexts=contexts)
-        self.assertEqual(env.context_key, None)
-
-
-class TestContextSampler(unittest.TestCase):
-    def test_get_defaults(self):
-        from carl.context.sampling import get_default_context_and_bounds
-
-        defaults, bounds = get_default_context_and_bounds(env_name="CARLPendulumEnv")
-        DEFAULT_CONTEXT = {
-            "max_speed": 8.0,
-            "dt": 0.05,
-            "g": 10.0,
-            "m": 1.0,
-            "l": 1.0,
-            "initial_angle_max": np.pi,
-            "initial_velocity_max": 1,
-        }
-        self.assertDictEqual(defaults, DEFAULT_CONTEXT)
-
-    def test_sample_contexts(self):
-        from carl.context.sampling import sample_contexts
-
-        contexts = sample_contexts(
-            env_name="CARLPendulumEnv",
-            context_feature_args=["l"],
-            num_contexts=1,
-            default_sample_std_percentage=0.0,
-        )
-        self.assertEqual(contexts[0]["l"], 1)
-
-
-class TestContextAugmentation(unittest.TestCase):
-    def test_gaussian_noise(self):
-        from carl.context.augmentation import add_gaussian_noise
-
-        c = add_gaussian_noise(default_value=1, percentage_std=0)
-        self.assertEqual(c, 1)
-
 
 
 if __name__ == "__main__":